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Article

Microbe-Assisted Rhizoremediation of Hydrocarbons and Growth Promotion of Chickpea Plants in Petroleum Hydrocarbons-Contaminated Soil

by
Muhammad Hayder Ali
1,
Muhammad Imran Khan
1,2,*,
Muhammad Naveed
1 and
Muhammad Ayyoub Tanvir
3
1
Institute of Soil and Environmental Sciences, University of Agriculture, Faisalabad 38040, Pakistan
2
Helmholtz-Centre for Environmental Research-UFZ, Department of Isotope Biogeochemistry, 04318 Leipzig, Germany
3
Department of Forestry and Range Management, University of Agriculture, Faisalabad 38040, Pakistan
*
Author to whom correspondence should be addressed.
Sustainability 2023, 15(7), 6081; https://doi.org/10.3390/su15076081
Submission received: 17 February 2023 / Revised: 22 March 2023 / Accepted: 29 March 2023 / Published: 31 March 2023

Abstract

:
The present work aimed to develop and investigate microbial consortia for petroleum hydrocarbons (PHCs) detoxification and plant growth improvement in hydrocarbons-contaminated soil. Here, we isolated several bacteria from PHCs-contaminated soils to make bacterial consortia and two of the best consortia were tested in a pot experiment to evaluate their potential for PHCs removal and chickpea growth promotion in PHCs-contaminated soil. Results demonstrated that the PHCs exerted considerable phytotoxic effects on chickpea growth and physiology by causing a 13–29% and a 12–43% reduction in agronomic and physiological traits, respectively. However, in the presence of bacterial consortia, the phytotoxicity of PHCs to chickpea plants was minimized, resulting in a 7.0–24% and a 6.0–35% increase in agronomic and physiological traits, respectively over un-inoculated controls. Bacterial consortia also boosted nutrient uptake and the antioxidant mechanism of the chickpea. In addition, chickpea plants alone phytoremediated 52% of initial PHCs concentration. The addition of bacterial consortia in the presence of chickpea plants could remove 74–80% of the initial PHCs concentration in soil. Based on our research findings, we suggest that the use of multi-trait bacterial consortia could be a sustainable and environmentally friendly strategy for PHCs remediation and plant growth promotion in hydrocarbons in contaminated soil.

1. Introduction

The world population is growing at a faster rate, necessitating the production of more food on currently available and/or polluted land as well as pollution cleanup by more desirable, sustainable and cost-effective means [1,2,3]. Among the most pervasive environmental toxins, petroleum hydrocarbons (PHCs) pose a significant risk to all forms of life, ranging from plants to humans [1]. PHCs deteriorate the soil’s physicochemical attributes (water holding capacity, porosity, ion exchange capacity and pH), rendering the soil undesirable for crop stand [4]. The PHCs toxicity in plants increases the biosynthesis of reactive oxygen species (ROS), ethylene, and hydrogen peroxide, which causes leaf deformation, decreased plant biomass, and productivity [5]. A stressed plant produces a higher amount of ROS that disturbs the metabolic processes and degrades its proteins, nucleic acids, and cell membrane [3]. Additionally, it is shown that soil microbiota is declining in PHCs-contaminated soils, notably as a result of the lack of easily accessible carbon and macronutrients [6,7]. Therefore, it is essential to remove PHCs from polluted environments to protect ecosystems and ensure sustainable crop production.
Among the available remediation options, microbes-assisted rhizoremediation could be a viable alternative for removing PHCs and alleviating the abiotic stressors on plants caused by PHCs pollution [8,9]. Compared to traditional methods, microbe-assisted phytoremediation has gained popularity due to its low cost, higher removal efficiency and lack of toxic by-product formations [10,11]. Because of their fast proliferation potential and metabolic flexibility, bacteria are recognized as the main PHCs degraders in soil, especially in the plant rhizosphere where their activity is sustained by the release of root exudates [12,13]. Several bacterial isolates particularly belonging to genera Azobacter, Arthrobacter, Achromobacter, Acinetobacter, Actinobacteria, Alcaligenes, Bacillus, Cellulomonas, Stenotrophomonas and Pseudomonas are known to have the ability to remove or use hydrocarbons as a source of energy for their growth and reproduction [11,14,15,16] (Table S1). However, in the field studies, successful reports on the use of single bacterial strains for the detoxification of PHCs and their intermediate products remained limited [17]. Single bacterial species have a limited ability to breakdown all PHCs fractions, particularly due to the absence of a specialized set of enzymes for the complete mineralization of PHCs [8,18]. Differently, the mixed populations or bacterial consortia (BC), with relatively higher synergistic activities and enzymatic diversity, cause higher hydrocarbons mobility, bioavailability and pollutant exposure to remove higher amounts of PHCs from the soil without exerting deleterious impacts on terrestrial biota or growing plants [19,20].
It has been reported that the PHCs removal rates can be enhanced by modifying the rhizosphere of the plants [21,22]. Further, microbial processes including nitrogen fixation, ACC-deaminase activity, siderophores synthesis and phosphorus solubilization could be helpful in improving a plant’s health under PHCs stress [23,24]. Plant roots, in turn, secrete massive volumes of hormones, vitamins, amino acids, organic acids, sugars, mucilage, and other chemicals that promote microbial activity in the rhizosphere [24,25]. Since most of the root exudates and many aromatic fractions of PHCs have structural similarities, microbial communities utilize them as a carbon and energy source to increase their biomass. This results in the removal of PHCs from the soil [26,27]. Furthermore, plants coupled with multi-traits bacterial culture have been shown to demonstrate improved physical and physiological responses (such as seedling emergence, root/shoot biomasses, root/shoot length, photosynthetic pigments, and stomatal performance) and accelerate the decomposition of PHCs [24,28].
The chickpea (Cicer arietinum L.) is one of the important food crops in developing countries [29,30]. Pakistan is ranked as the second leading producer of chickpeas in Asia and accounts for approximately 7.0% of the world’s cultivation [31,32]. Another reason behind the selection of chickpeas as a test crop was its nitrogen fixing ability that restores the soil health and fertility status and helps the plants to grow in nutrient deficient soils [14,33]. Additionally, chickpea plants could produce a higher level of carboxylates that decrease the pH of the rhizosphere and thus, enhance the nutrient availability for plant growth, even in stressful conditions [34]. In legumes, the accumulation and degradation of PHCs are more frequent in the roots rather than the aerial parts [34,35,36,37]. Moreover, the PHCs accumulation in leaves and grains is attributed to aerial deposition rather than plant intake from the root zone [35,37]. It has been demonstrated that legumes frequently favor microbial communities that can break down hydrocarbons [36,38]. In the phytoremediation process, the harmful hydrophobic compounds such as PHCs, with octanol-water partition coefficients (logKow) values higher than three tend to get tightly bound to the root surface. As a result, plants are unable to uptake the pollutants through phytoaccumulation [34,39]. Hence, the chickpea could be a suitable test plant to be cultivated on PHCs- contaminated soil.
Overall, the production of high-quality food, as well as the removal of contaminants from the polluted soil are equally important. For this purpose, using the interactions of plants and microorganisms (particularly bacterial consortia) for the removal of pollutants could be an efficient and eco-friendly solution. Thus, the main objective of this research study was to assess the phytotoxic effects of PHCs on chickpea plants and to investigate the impact of two newly developed bacterial consortia on the remediation of PHCs and the growth promotion of chickpea plants in PHCs-contaminated soil.

2. Materials and Methods

2.1. Soil Samples Collection and Lab Analysis

The PHCs-contaminated soil (mixed contamination of crude oil, diesel, petroleum, etc.) was collected from the PHCs-contaminated sites (30°10′03.7″ N, 70°56′44.1″ E field area adjacent to PARCO, Muzaffargarh, Pakistan and 34°11′59.7” N, 73°14′29.9″ E service stations around various hotspots of Abbottabad, Pakistan) and brought to the research area of the University of Agriculture, Faisalabad, Pakistan (UAF). A range of analytical techniques was used to assess the physicochemical characteristics of PHCs-contaminated soil before and after the execution of the experiment [40,41] (see results in Table 1 and Table S2). After standardization of the instrument with known concentrations of xylene and water-mixed diesel, the TPH analyzer (PHA-100 plus, PETROSENSE, Dallas, TX, USA) was used to determine PHCs in soil. Briefly, a 50 g of soil sample was added to the glass jar and mixed with deionized water until a small layer was observed on the top of the soil. Finally, the TPH analyzer’s probe was inserted into the jar to take a measurement. After that, the probe was permitted to rest in room air for five minutes prior to the next measurement. The precision and accuracy of readings is ±10%.
Both of the soil samples were employed further to isolate, characterize and identify the PHCs degraders and plant growth promoters. Soil from the field area close to PARCO, Muzaffargarh, Pakistan was selected and further used for the rhizoremediation experiment. The soil was prepared by cleaning, air-drying and sieving through a 2 mm sieve to assure its uniformity [42].

2.2. Prescreening and Enrichment of PHCs Degrading Microbial Cultures in Liquid Media

Soil samples (collected from two different contaminated sites) were used as inocula for the enrichment of bacterial consortia. For this purpose, a carbon-free mineral salt medium (MSM) was prepared by following the protocol of Suja et al. [43]. The medium was autoclaved twice to eliminate any microbial life, and then 10,000 mg L−1 or 1% filter sterilized diesel was added to the autoclaved medium as a sole carbon source and the medium was kept on a rotary shaker for 2 days for thoroughly mixing of the diesel with MSM. Hereafter, 10 g soil (collected from contaminated sites) was added (as inoculum) to each autoclaved microcosm flask containing 90 mL autoclaved MSM under a laminar flow hood to avoid any microbial contamination. Each flask was covered with autoclaved aluminum foil and then incubated in a rotary shaker at 150 rpm for 7 days at 25 ± 3 °C in the dark. Triplicate flasks were prepared for each site. After a successful first enrichment experiment, sequential subculturing was performed up to four times to enrich and initially screen the PHCs-degrading microbial culture.

2.3. Isolation of PHCs-Degrading Bacterial Strains from the Enriched Culture by Agar Plate Method

Following the enrichment and preliminary screening, the carbon-free MSM with agar was properly sterilized and transferred to agar plates for solidification. Thereafter, a 100 µL filter-sterilized diesel (as a source of carbon) was poured over each plate. Similarly, on each agar plate, 1 µL of previously enhanced culture was dispersed. The plates were then incubated at 25 ± 3 °C for 3 days, and colony formation on the plates was observed. Only bacteria that can tolerate, degrade or thrive on PHCs were grown under these specific conditions [44]. Following the same procedure, the purified bacterial colonies were cultivated individually on freshly prepared agar plates.

2.4. Characterization of PHCs-Degrading Bacterial Strains

Based on their morphological traits, ten bacterial isolates from each location were initially selected. Thereafter, the four best isolates from Abbottabad, Pakistan and five isolates from Muzaffargarh, Pakistan were further chosen based on their plant growth promoting traits (i.e., auxin, exopolysaccharides, oxidase, ACC-deaminase activity, siderophores production, hydrogen cyanide production and phosphate solubilization (see results in Table S3). All the mentioned characteristics were evaluated by following the guidelines of Rafique et al. [25].

2.5. Identification of Bacterial Strains and Preparation of Bacterial Consortia

The particular bacterial isolates, previously screened and characterized on the basis of their ability to stimulate plant growth, were sent to Macrogen, South Korea for 16S rRNA gene Sanger sequencing for the identification of these strains. The four bacterial strains MH-2, MH-3, MH-6 and MH-9 (accession number ON7114529-ON714532), identified as Alcaligenes faecalis, Alcaligenes sp., Achromobacter denitrificans and Sphingobacterium spiritivorum, respectively, were mixed in the same proportion to make bacterial consortium 1 (BC1). The other five strains, MH-10, MH-13, MH-18, MH-22 and MH-24 (accession number ON7114533-ON714537), identified as Sphingobacterium spiritivorum, Achromobacter xylosoxidans, Stenotrophomonas sp., Alcaligenes faecalis, and Stenotrophomonas rhizophila, respectively, were mixed to develop bacterial consortium 2 (BC2). These two developed bacterial consortia were used for further rhizoremediation experiments.

2.6. Experimental Setup

In the UAF research facility, a pot experiment was conducted with nine distinct treatments (with different combinations of two selected bacterial consortia and chickpea plants) and each treatment was replicated three times (see treatment detail in Table 2). The treatment pots were laid out in a completely randomized design (CRD). Six surface sterilized seeds of chickpea (Cicer arietinum L., NIAB-CH-2016) inoculated or un-inoculated with bacterial cultures were planted in corresponding pots. Each pot consisted of 7 kg uncontaminated or naturally PHCs-contaminated (i.e., 12,000 mg kg−1) soil (details provided in Section 2.1). The suggested amounts of N, P and K fertilizers (i.e., 20 kg N ha−1 as urea, 60 kg P ha−1 as single super-phosphate and 60 kg K ha−1 as sulfate of potash) were applied to each pot [45,46].

2.7. Seedling Emergence and Growth Attributes of Chickpea Plants

Seedling emergence was monitored from the 2nd day to 7th day after sowing, and the thinning of plants was conducted after 20 days of sowing to maintain three plants in each pot. The chickpea plants were harvested at maturity (after 120 days). The growth and yield attributes of the chickpeas such as shoot and root lengths, fresh and dry biomasses, number of branches, number of nodules and number of pods per chickpea plant were recorded. For the determination of dry biomasses, plant shoots and roots were dried at 65 °C till constant weights [42].

2.8. Photosynthetic Pigments and Physiological Attributes of Plants

Chlorophyll contents such as chlorophyll a, chlorophyll b, total chlorophylls and carotenoids were determined following the standard procedures [47]. Briefly, 0.5 g freshly harvested leaves were ground in 5 mL of 80% methanol and centrifuged at 5000 rpm for 10 min at 20 °C. Then the supernatant was collected and run through a spectrophotometer (Thermo Electron Corporation, Evolution-300 LC, Warwickshire, UK). Optical density (OD) was measured at different wavelengths such as 480 nm, 645 nm and 663 nm. Similarly, the SPAD values (relative chlorophyll contents) of leaves were taken by the SPAD meter (SPAD-502 Konica, Minolta). Fluorescence yield (Ft), photosynthetically active radiation (PAR), electron transport rates (ETR) and quantum yields (YII) were measured by a photosynthetic yield analyzer (MINI-PAM-II) (WALZ Mess und Regeltechnik, Effeltrich, Germany) by following the standard protocols [41].

2.9. Membrane Stability Index and Relative Water Contents of Plants

The membrane stability index (MSI) was determined by following the methods of Sairam et al. [48] where leachates (ions) extracted from plant tissues were collected in distilled water and used for the estimation of MSI. Briefly, 0.2 g fresh leaf samples were taken in test tubes and filled with doubled distilled water in two separate sets. One set, containing the same material, was kept at 40 °C in a water bath for 30 min, then its EC1 was recorded by using an EC meter. The second set was kept at 100 °C for 15 min and after that, EC2 was determined by the EC meter and then MSI was calculated by using Equation (1):
MSI = [1 − (EC1/EC2)] × 100
The relative water contents (RWC) were also determined by following the protocol described by Sairam et al. [48]. Briefly, 0.5 g fresh leaves of chickpea plants were hydrated immediately by dipping them in a distilled water for approximately 4 h to gain maximum turgidity. Then the leaf samples were taken out and dried immediately using a tissue paper. The turgid weight (TW) of samples was recorded and samples were kept in an oven for two days at 65 °C to get dry weight (DW). Finally, the RWC of leaves were determined by using Equation (2):
RWC = [(FW − DW)/(TW − DW)]

2.10. Proline and Antioxidant Contents of Plants

The total proline contents of plant leaves were determined by following the protocols of Bates et al. [49]. Briefly, 2.5 g of ninhydrin was added in 30 mL phosphoric acid (6 M) and 45 mL of glacial acetic acid (100%). This mixture was kept at 4 °C for 24 h. Then 0.2 g freshly harvested leaf sample was mixed with 4 mL of sulfosalicylic acid (3%) and centrifuged at 4000 rpm for 20 min. The mixture was kept in a water bath at 100 °C for 60 min and then placed in an ice bath for instant cooling. Later, the 400 µL of ninhydrin solution was mixed with the same amount of leaf extract (supernatant) and the same amount of glacial acetic acid. The 800 µL of toluene was vigorously mixed in the solution and we waited until the distinctive phases were separated. The red color supernatant was separated, and absorbance was checked at 520 nm on a spectrophotometer.
The procedures described by Ahmad et al. [3] were used to estimate the catalase (CAT) activity. For this purpose, a 10.4 mL reaction mixture was used containing 200 µL enzyme extract, 200 µL H2O2 (0.3 M) and 10 mL phosphate buffer (0.05 M) with EDTA (0.002 M) at pH 7.0. The induced reduction in absorbance was observed at 240 nm using a spectrophotometer, after the disappearance of H2O2. Similarly, the superoxide dismutase (SOD) activity was observed through the developed methodology of Beauchamp and Fridovich [50] by checking the reduction in absorbance of nitroblue tetrazolium chloride at 560 nm. For peroxidase (POD) activity, the method developed by Angelini et al. [51] was employed to examine the transformation of guaiacol to tetra-guaiacol by observing the absorbance at 436 nm.

2.11. Nitrogen, Phosphorus and Potassium in Plants and Residual PHCs in Soil

After the digestion of plant samples [40], N, P and K contents in plant samples were determined through the Kjeldahl apparatus, spectrophotometer and flame photometer by following the standard procedures described by Afzal et al. [42]. Similarly, the remaining PHCs contents in soil were determined using a TPH analyzer (PHA-100 plus, PETROSENSE, Dallas, TX, USA) following the detailed methodology described above in Section 2.1.

2.12. Statistical Analysis

The normal distribution of the data was evaluated by the Shapiro–Wilk Normality Test (with p ≤ 0.05) and presented in Table S4. Afterward, the F-test was applied to the obtained data to check the significant or non-significant differences among the different treatment means. Estimated variations from mean values (n = 3) were presented by the standard error. The analysis of variance (ANOVA) was performed on the given data by following the two-factor factorial under a completely randomized design (CRD) by using Statistix 8.1 software [52]. The least significant difference (LSD) test was used to investigate the level of significance (p ≤ 0.05).

3. Results

3.1. Seedling Emergence and Growth Attributes of Chickpea Plants

The findings of the current study demonstrated that PHCs contamination significantly decreased seedling emergence (Table 3). With a few exceptions, most of the seedlings began to sprout within two days after seeding, regardless of treatments. While comparing the emergence of chickpea seedlings with and without PHCs, the addition of BC revealed a substantial improvement in seedling emergence. When compared to uncontaminated pots, there was a 33.2% decrease in seedling emergence in PHCs-contaminated pots. In uncontaminated soil, the application of BC1 and BC2 resulted in a small increase in seedling emergence than the un-inoculated control (Table 3). However, compared to the un-inoculated contaminated control, the treatments containing PHCs inoculated with BC1 caused a 23.1% increase in seedling emergence. However, BC2 in the presence of PHCs caused a significant increase of 28.6% in seedling emergence, indicating the vital role of microorganisms in the seed germination of chickpea.
The PHCs contamination resulted in a considerable reduction (12.7% to 25.0%) in the agronomic attributes i.e., shoot length, root length, shoot fresh weight, shoot dry weight, root fresh weight and root dry weight as compared to the uncontaminated control (Table 4 and Figure 1). Similar reductions in the number of nodules per plant (28.1%), number of pods per plant (26.2%), number of stems (20.0%) and number of compound leaves per plant (28.8%) were also noticed with PHCs contamination compared to the uncontaminated control (Table 2). While in uncontaminated soil, the treatments containing bacterial cultures (i.e., BC1 and BC2) produced a significantly higher shoot length (23.2% and 29.2%), root length (18.9% and 31.2%), shoot fresh weight (14.8% and 18.8%), shoot dry weight (22.9% and 29.1%), root fresh weight (5.05% and 12.8%), root dry weight (10.4% and 13.5%), number of nodules per plant (13.5% and 25.6%), number of pods per plant (11.6% and 20.8%), number of stems per plant (9.09% and 23.1%) and number of compound leaves per plant (17.6% and 29.3%) as compared to the un-inoculated control. Furthermore, the treatments containing PHCs along with BC1 and BC2 induced a higher shoot length (11.4% and 17.3), root length (7.69% and 14.3%), shoot fresh weight (21.4% and 24.2%), shoot dry weight (13.8% and 24.7%), root fresh weight (10.2% and 13.3%), root dry weight (8.59% and 10.8%), number of nodules per plant (11.5% and 17.9%), number of pods per plant (8.16% and 13.5%), number of stems per plant (11.1% and 20.0%) and number of compound leaves per plant (11.0% and 18.2%) as compared to un-inoculated contaminated controls (Table 4 and Figure 1), indicating the significant contribution of microbes in growth improvement of chickpea plants.

3.2. Photosynthetic Pigments and Physiological Attributes of Plants

In this study, the physiological attributes of chickpea plants were also disturbed due to hydrocarbons stress. Around a 31.4%, 19.9%, 26.5% and 43.3% reduction in Chl a, Chl b, total Chl and carotenoids, respectively, was observed under PHCs contamination, as compared to the uncontaminated control treatments (Figure 2). Similarly, a significant decrease (up to 26.3%) in physiological attributes, i.e., SPAD value, Ft, PAR, YII, ETR, RWC and MSI, was observed under the PHCs contamination, as compared to uncontaminated controls (Table 5 and Figure 2). While in uncontaminated soil, the addition of bacterial cultures (i.e., BC1 and BC2) produced significantly higher Chl a, Chl b, total Chl, carotenoids, SPAD value, Ft, PAR, YII, ETR, RWC and MSI, showing up to a 40.6% increase over the un-inoculated controls (Table 5 and Figure 2). Similarly, the inoculation of BC1 and BC2 in PHCs-contaminated soil also produced higher Chl a, Chl b, total Chl, carotenoids, SPAD value, Ft, PAR, YII, ETR, RWC, and MSI inducing up to a 35.4% increase over un-inoculated contaminated controls (Table 5 and Figure 2) suggesting the important role of microbes in improving the overall physiology of chickpea plants under PHCs stress.

3.3. Proline and Antioxidant Contents of Chickpea Plants

Under PHCs contamination, proline and antioxidant contents of chickpea plants were significantly increased, showing 32.2%, 27.1%, 34.1% and 21.3% higher proline, CAT, SOD and POD contents, respectively, than that of uncontaminated control (Table 6). However, in PHCs-contaminated soil, the treatments containing bacterial cultures, i.e., BC1 and BC2, induced lower proline (13.8% and 11.6%), CAT (11.6% and 14.7%), SOD (6.52% and 13.1%) and POD (10.6% and 15.5%) contents as compared to un-inoculated contaminated control (Table 6).

3.4. Nutrient Uptake by Plants and Removal of Phcs from Soil

Approximately, a 28.3%, a 22.1% and a 23.6% reduction in N, P and K contents, respectively, in chickpea plants were observed under PHCs contamination, as compared to uncontaminated control treatments (Table 7), indicating the significant phytotoxic effect of PHCs on nutrient uptake of chickpea plants. However, in uncontaminated soil, the treatments containing bacterial cultures (BC1 and BC2) showed a significantly higher uptake of N (20.1% and 25.7%), P (9.48% and 14.3%) and K (20.4% and 27.9%) by chickpea plants as compared to their respective un-inoculated counterparts (treatments without BC and PHCs). Similarly, the addition of microbes significantly improved nutrient uptake by chickpea plants in PHCs-contaminated soil (Table 7) indicating the significant role of microbes in plant nutrition.
The addition of microbes (both BC1 and BC2) showed a significant reduction in remaining PHCs concentration in soil in the presence or absence of chickpea plants (Figure 3). At the end of experiment (i.e., after 120 days), the unplanted and un-inoculated PHCs contaminated soil showed a 16.9% reduction in PHCs contents as compared to the initial concentration. The plants only (without inoculation) treatments showed removal of approximately 52.0% of initial concentrations of PHCs. Regardless of the presence of chickpea plants, the addition of microbes (both BC1 and BC2) resulted in a substantial increase in the removal (36–45%) of PHCs from the soil. However, the PHCs removal from soil was further enhanced in the presence of chickpea plants. Approximately 74% and 80% PHCs removal was observed by the application of BC1 and BC2, respectively, in planted treatments that were significantly higher than that of their respective unplanted controls (Figure 3). In general, among both bacterial cultures, BC2 showed relatively higher hydrocarbons removal, as well as nutrient uptake and growth enhancement of chickpea plants in PHCs-contaminated soil.

4. Discussion

In this study, hydrocarbons posed considerable phytotoxicity to chickpea plants by reducing plant growth, physiology, nutrient uptake and yield. However, the presence of bacterial cultures (both BC1 and BC2) greatly alleviated the phytotoxic effects of PHCs on chickpea plants in PHCs-contaminated soil. Further, the addition of bacterial cultures resulted in higher hydrocarbons removal from the soil.

4.1. Seedling Emergence and Growth Attributes of Chickpea Plants

The reduced seedling emergence of chickpea was observed in the present study. This decreased seedling emergence may be due to the volatilized PHCs fractions that penetrate the seed coat, hinder the metabolic processes and/or kill the embryo. Another possible reason could be the hydrophobic nature of PHCs that inhibits water absorption by the seeds and disrupts intercellular activities [8,48]. In soils contaminated with hydrocarbons, the addition of microorganisms could lessen the toxicity of the hydrocarbons by changing the soil pH and CN ratio and providing sufficient moisture to the seeds to cause early sprouting [3,8].
Petroleum hydrocarbons suppress plant growth and induce plants to have shorter shoots and roots [53,54,55]. The PHCs also prevent oxygen from reaching the soil, leading to anaerobiosis and poor plant growth and development. We also found reduced fresh and dry biomasses of chickpea under the PHCs contamination [41]. This may be due to residual PHCs or their metabolites, which damage cells, limit nutrition and water intake, and thus stunt plant development [56]. The altering of plant biochemical processes by PHCs (such as cell membrane permeability and enzymatic disruptions), which leads to subsequent changes in plant physiology, could be another reason behind the stunted growth of chickpea in PHCs contaminated soil [1].
In the present study, the application of bacterial cultures significantly reduced the phytotoxic effects of hydrocarbons on plants and increased plant growth and development in PHCs contaminated soil. It is possible that bacterial consortia degraded a part of PHCs in the root zone and resulted in the reduction of PHCs concentration in soil which subsequently reduced the phytotoxicity of contaminated soil [2,56]. These findings can be supported and confirmed by plant growth promoting characteristics of microorganisms present in the bacterial consortia (see Table S3). Our results showed that the microbes in both cultures—particularly those belonging to Alcaligenes, Stenotrophomonas, Achromobacter, and Sphingobacterium—have the ability for IAA, exopolysaccharides, siderophore and hydrogen cyanide production as well as phosphate solubilization [57,58,59,60]. Additionally, bacteria that secrete growth hormones such as auxin, phosphate and iron solubilizing enzymes, ACC deaminase, and gibberellins help plants to resist the toxic effects of pollutants [58,61]. Another explanation for the growth prompting impact of inoculated microorganisms under PHCs stress may be related to changes in the pH of the root zone and increased nutrient absorption by the plants. Additionally, it has been suggested that microorganisms may enhance plant growth and development by controlling evapotranspiration and the production of pigments used for photosynthetic activity [62,63].

4.2. Photosynthetic Pigments and Physiological Attributes of Plants

Furthermore, PHCs toxicity reduced the chlorophyll contents, carotenoids and anthocyanin contents. Hydrocarbons toxicity lowered the photosynthetic rate by disturbing the chlorophyll synthesis as chlorophyll absorbs photons and begins to accelerate the rate of electron transport to absorb the energy they contain [64]. Here, however, we found that the introduction of bacterial cultures mitigated the deleterious effects of PHCs on photosynthesis and chlorophyll production [3] and this might be due to the increased levels of H2O2 that curtails biosynthesis of chlorophyll in stressed conditions [65,66]. The application of BC could have hovered the production of H2O2 synthesis. Therefore, it is assumed that the application of BC could have enhanced photosynthetic activity and the formation of chlorophyll pigments by reducing plant oxidative stress [3]. Likewise, the decrease in RWC and MSI of chickpea plants in the present research can be caused by a buildup of PHCs in the cell membrane that led to cell rupture [67]. The PHCs reduced the intake of water by blocking the stomatal openings of the leaves or by producing ROS resulting in stunted plant growth [68,69]. Applying BC was shown to reduce the toxicity of PHCs to chickpea plants and enhance the plant’s overall physiology. This could be due to the fact that under PHCs stress, bacterial cultures with ACC-deaminase activity could lower ethylene synthesis by hydrolyzing the ACC [70,71,72]. The developed bacterial cultures (BC1 and BC2) used in this work were quite effective and successful in alleviating the harmful effects of PHCs on the growth and development of chickpea plants [41,73].

4.3. Proline and Antioxidant Contents of Chickpea Plants

Here, we also found higher levels of proline in chickpea leaves in the presence of PHCs [74,75]. The presence of proline helps to maintain cell structures, synchronize cellular metabolic processes, destroy free radicals, and activate stress-related systems [76]. Thus, the increased proline buildup in the leaf tissues may have aided stressed plants in maintaining their redox potential and controlling their cellular metabolite levels [77]. The proline controls the production of metabolites, which are essential for plant growth [78]. In addition, the plants that have been exposed to hydrocarbons stress produce higher amounts of ROS that could damage the cell membranes and imbalance the ionic homeostasis [79]. In stressed plants, higher proline levels regulate the metabolic processes and reduce ROS generation [80]. This might be due to the fact that proline alleviates stress, regulates mitochondrial activity, cellular proliferation, membrane stability and prevents electrolyte leakage from the plant cells [81]. In addition, here we have noticed that the stress-responsive enzymes including SOD and POD were more active in PHCs stress, while the CAT activity remained relatively lower. The antioxidative mechanism in plants prevents them from being damaged by contaminants [3]. According to Gill et al. [82], the SOD acts as a first defensive mechanism against stress, as opposed to ROS. The SOD transforms superoxide to H2O2 and O2 in the first step, then POD and CAT convert this H2O2 to H2O and O2 [83]. As a result, plant antioxidative enzymes help in the reduction of abiotic stress [84]. In this case, bacterial cultures under hydrocarbon stress were found very efficient in modulating the activities of CAT, SOD, and POD. The melanin, which is produced by enhanced SOD activity by microbes, could promote antioxidant activity in plants under hydrocarbons stress through scavenging free radicals [63], since the biochemical pathway for protein synthesis starts on the recovery of superoxides by the SOD activity [3]. The treatments containing PHCs inoculated with bacterial consortia showed relatively lower levels of antioxidants enzymes with respect to the uninoculated PHCs contaminated control. This might be due to the stress relieving and catabolic activities of microbes that reduce the impact and toxicity of hydrocarbons on the plants [72]. Studies reported higher rhizodegradation (by their catabolic enzymes) of PHCs in the presence of microbes that reduces the impact of toxicity and stress on plants [77,81,82]. Similarly, the lower levels of antioxidants in microbes-applied treatments may also be attributed due to higher nutrient uptake causing a reduction in pollutant stress [77].

4.4. Nutrient Uptake by Plants and Removal of PHCs from Soil

In this study, the PHCs reduced nutrient uptake and accumulation in plants. This decrease in N absorption could be related to the pollutants-induced alteration in soil pH and increased CN ratio [85]. This insufficient uptake of N could ultimately result in decreased cellular proliferation and leaf growth in PHCs contamination [86]. Likewise, under PHCs stress, the absorption of P and K by plants was also reduced [87]. Since the P and K control several metabolic processes—such as energy transfer, macro-molecules biosynthesis, signal transduction, respiration and photosynthesis—this results in reduced plant growth and development [88]. However, the application of bacterial cultures could greatly enhance the nutrient absorption by the plants, probably through the synthesis and subsequent release of enzymes increasing nutrient solubility and/or the breakdown of PHCs [89]. The addition of bacterial consortia (carrying K solubilizing bacteria including Alcaligenes, Achromobacter and Stenotrophomonas) enhanced the K uptake in plants by solubilizing the fixed K in the soil. The other possible reason could be the reduction in PHCs level in the rhizosphere due to the degradation of pollutants by the bacterial consortia which resulted in improved nutrient uptake by plants [1,21,26].
Several rhizoremediation studies reported that the microorganisms (due to enzymatic diversity and adaptability) are helpful in improving plant growth and effectively remediating PHCs and related chemicals from hazardous environments [20]. In this study, we developed two BC that were capable of removing significant amounts of PHCs from the soil. The co-existence of PHCs-degrading and plant growth-promoting microorganisms in BC1 and BC2 considerably improved the rhizoremediation process [28,41]. Even though plants confront phytotoxicity in the presence of higher amounts of pollutants, they can phytoremediate a certain amount of organic contaminants from the soil through various mechanisms [90]. Furthermore, the phytoremediation ability of plants was enhanced in the presence of added bacterial cultures. This could be due to the synthesis of organic acids, release of chelators (chelation), protonation, chemical transformation, and phosphate solubilization by the added microbes resulting in greater removal of PHCs from the soil. These processes are also known to increase the availability of PHCs to plants, microbes, and other terrestrial biota [41]. Here, we mixed and used different bacterial strains belonging to various genera (i.e., Alcaligenes, Achromobacter, Sphingobacterium, and Stenotrophomonas) to construct bacterial consortia. The Alclaligene sp. are capable of producing phosphatase enzymes which can solubilize the fixed phosphate in soil and thus can enhance plant growth [91] and subsequently improve the phytoremediation ability of plants. The Achromobacter denitrificans sp., carrying catechol 2,3-dioxygenase and hexadecane monooxygenase, is reported to degrade both aromatics as well as long chain hydrocarbons [92]. More recently, Xiao et al. [93] reported that the Stenotrophomonas maltophilia strain W18 was able to degrade PAHs (Table S1). Furthermore, the Sphingobacterium, belonging to the phylum Bacteriodetes, is a gram-negative bacterium found in a variety of environments including plant rhizosphere [94] and is known to be involved in the biodegradation of hydrocarbons [95]. The bisurfactants-producing ability of Sphingobacterium may increase the bioavailability of hydrocarbons and thus improves the bioremediation process [96].
To the best of our knowledge, this is the first report describing the effects of two newly developed bacterial consortia on the degradation of PHCs and the growth enhancement of chickpeas in PHCs-contaminated soil. The findings of this study enhance our understanding of how plants and microbes interact in PHCs-contaminated soil, provide new insight into how beneficial microbes can be used to improve PHCs remediation and crop productivity in hydrocarbon polluted environments, and unfold new avenues for research into the significance of biological interactions in hydrocarbon-polluted environments.

5. Conclusions

The present study aimed to develop plant growth promoting and PHCs-degrading bacterial consortia. Furthermore, we evaluated their ability to alleviate the phytotoxic effects of PHCs on chickpea plants in diesel-contaminated soil. Results demonstrated that the presence of PHCs caused significant inhibition in the physiology, nutrient uptake, growth and yield of chickpea plants. However, the application of bacterial consortia alleviated the toxicity of PHCs to chickpea plants and increased overall plant growth in PHCs-contaminated soil, probably by improving the plants’ antioxidant defense and plant growth-promoting properties. Furthermore, the microbes (with plant growth promoting attributes) in the bacterial cultures were capable of removing substantial amounts of PHCs from the soil and also improved the phytoremediation ability of chickpea plants for PHCs. Overall, the use of both consortia was quite successful; however, BC2 was more effective than BC1 in promoting plant growth and removing PHCs from the soil. Findings from the present study suggest that the novel bacterial consortia are useful for hydrocarbons remediation and plant growth promotion in hydrocarbons contaminated soil and could be promising bioresources for future phytoremediation efforts.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/su15076081/s1, Table S1: Microbial degradation of petroleum hydrocarbons by previous studies and this work; Table S2: The EC and pH values of soil at the end of experiment; Table S3: Characterization of plant growth promoting traits of selected microbial isolates; Table S4: Normal distribution or normality of data (with p ≤ 0.05). References [15,19,41,43,73,93,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122] are cited in the Supplementary Materials.

Author Contributions

Conceptualization, M.H.A. and M.I.K.; Data curation, M.H.A. and M.I.K.; Formal analysis, M.H.A., M.I.K. and M.N.; Funding acquisition, M.I.K.; Investigation, M.H.A. and M.I.K.; Methodology, M.H.A. and M.I.K.; Project administration, M.I.K.; Resources, M.I.K., M.N. and M.A.T.; Software, M.H.A. and M.I.K.; Supervision, M.I.K., M.N. and M.A.T.; Validation, M.H.A. and M.I.K.; Visualization, M.I.K.; Writing—original draft, M.H.A. and M.I.K.; Writing—review and editing, M.H.A., M.I.K. and M.A.T. All authors have read and agreed to the published version of the manuscript.

Funding

This study was financially supported by the Higher Education Commission of Pakistan through project number NRPU-7730.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Acknowledgments

This study was financially supported by the Higher Education Commission of Pakistan through project number NRPU-7730. Authors are grateful to Sadar Alam Cheema, Irfan Hussain, Muhammad Mughees Ud Din, Muhammad Junaid Arshad and Muhammad Usama (ISES, UAF) for their support in lab work.

Conflicts of Interest

The authors declare that they have no competing interests.

References

  1. Khan, M.A.I.; Biswas, B.; Smith, E.; Naidu, R.; Megharaj, M. Toxicity assessment of fresh and weathered petroleum hydrocarbons in contaminated soil—A review. Chemosphere 2018, 212, 755–767. [Google Scholar] [CrossRef] [PubMed]
  2. Abdullah, S.R.S.; Al-Baldawi, I.A.; Almansoory, A.F.; Purwanti, I.F.; Al-Sbani, N.H.; Sharuddin, S.S.N. Plant-assisted remediation of hydrocarbons in water and soil: Application, mechanisms, challenges and opportunities. Chemosphere 2020, 247, 125932. [Google Scholar] [CrossRef] [PubMed]
  3. Ahmad, A.; Khan, W.U.; Shah, A.A.; Yasin, N.A.; Ali, A.; Rizwan, M.; Ali, S. Dopamine alleviates hydrocarbon stress in Brassica oleracea through modulation of physio-biochemical attributes and antioxidant defense systems. Chemosphere 2021, 270, 128633. [Google Scholar] [CrossRef] [PubMed]
  4. Khan, M.I.; Cheema, S.A.; Shen, C.; Hassan, I.; Chen, Y. Phytotoxicity assessment of phenanthrene and pyrene in soil using two barley genotypes. Toxicol. Environ. Chem. 2014, 96, 94–105. [Google Scholar] [CrossRef]
  5. Liu, W.; Hou, J.; Wang, Q.; Ding, L.; Luo, Y. Isolation and characterization of plant growth-promoting rhizobacteria and their effects on phytoremediation of petroleum-contaminated saline-alkali soil. Chemosphere 2014, 117, 303–308. [Google Scholar] [CrossRef]
  6. Asghar, H.N.; Rafique, H.M.; Zahir, Z.A.; Khan, M.Y.; Akhtar, M.J.; Naveed, M.; Saleem, M. Petroleum hydrocarbons-contaminated soils: Remediation approaches. In Soil Science: Agricultural and Environmental Prospectives; Springer: Berlin/Heidelberg, Germany, 2016; pp. 105–129. [Google Scholar]
  7. Viesser, J.A.; Sugai-Guerios, M.H.; Malucelli, L.C.; Pincerati, M.R.; Karp, S.G.; Maranho, L.T. Petroleum-tolerant rhizospheric bacteria: Isolation, characterization and bioremediation potential. Sci. Rep. 2020, 10, 2060. [Google Scholar] [CrossRef] [Green Version]
  8. Varjani, S.J. Microbial degradation of petroleum hydrocarbons. Bioresour. Technol. 2017, 223, 277–286. [Google Scholar] [CrossRef]
  9. Truskewycz, A.; Gundry, T.D.; Khudur, L.S.; Kolobaric, A.; Taha, M.; Aburto-Medina, A.; Ball, A.S.; Shahsavari, E. Petroleum hydrocarbon contamination in terrestrial ecosystems—Fate and microbial responses. Molecules 2019, 24, 3400. [Google Scholar] [CrossRef] [Green Version]
  10. Almansoory, A.F.; Hasan, H.A.; Abdullah, S.R.S.; Idris, M.; Anuar, N.; Al-Adiwish, W.M. Biosurfactant produced by the hydrocarbon-degrading bacteria: Characterization, activity and applications in removing TPH from contaminated soil. Environ. Technol. Innov. 2019, 14, 100347. [Google Scholar] [CrossRef]
  11. Cui, J.; Chen, H.; Sun, M.; Wen, J. Comparison of bacterial community structure and function under different petroleum hydrocarbon degradation conditions. Bioprocess Biosyst. Eng. 2020, 43, 303–313. [Google Scholar] [CrossRef]
  12. Margesin, R.; Hämmerle, M.; Tscherko, D. Microbial activity and community composition during bioremediation of diesel-oil-contaminated soil: Effects of hydrocarbon concentration, fertilizers, and incubation time. Microb. Ecol. 2007, 53, 259–269. [Google Scholar] [CrossRef]
  13. Mukherjee, A.; Chettri, B.; Langpoklakpam, J.S.; Basak, P.; Prasad, A.; Mukherjee, A.K.; Bhattacharyya, M.; Singh, A.K.; Chattopadhyay, D. Bioinformatic approaches including predictive metagenomic profiling reveal characteristics of bacterial response to petroleum hydrocarbon contamination in diverse environments. Sci. Rep. 2017, 7, 1108. [Google Scholar] [CrossRef] [Green Version]
  14. Yan, L.; Sinkko, H.; Penttinen, P.; Lindström, K. Characterization of successional changes in bacterial community composition during bioremediation of used motor oil-contaminated soil in a boreal climate. Sci. Total Environ. 2016, 542, 817–825. [Google Scholar] [CrossRef] [Green Version]
  15. Patowary, K.; Patowary, R.; Kalita, M.C.; Deka, S. Characterization of biosurfactant produced during degradation of hydrocarbons using crude oil as sole source of carbon. Front. Microbiol. 2017, 8, 279. [Google Scholar] [CrossRef] [Green Version]
  16. Rizzo, C.; Rappazzo, A.C.; Michaud, L.; De Domenico, E.; Rochera, C.; Camacho, A.; Giudice, A.L. Efficiency in hydrocarbon degradation and biosurfactant production by Joostella sp. A8 when grown in pure culture and consortia. J. Environ. Sci. 2018, 67, 115–126. [Google Scholar] [CrossRef]
  17. Kshirsagar, S.D.; Mattam, A.J.; Jose, S.; Ramachandrarao, B.; Velankar, H.R. Heavy hydrocarbons as selective substrates for isolation of asphaltene degraders: A substrate-based bacterial isolation strategy for petroleum hydrocarbon biodegradation. Environ. Technol. Innov. 2020, 19, 100832. [Google Scholar] [CrossRef]
  18. Xu, X.; Liu, W.; Tian, S.; Wang, W.; Qi, Q.; Jiang, P.; Gao, X.; Li, F.; Li, H.; Yu, H. Petroleum hydrocarbon-degrading bacteria for the remediation of oil pollution under aerobic conditions: A perspective analysis. Front. Microbiol. 2018, 9, 2885. [Google Scholar] [CrossRef]
  19. Aziz, A.; Agamuthu, P.; Alaribe, F.O.; Fauziah, S.H. Biodegradation of benzo[a]pyrene by bacterial consortium isolated from mangrove sediment. Environm. Technol. 2018, 39, 527–535. [Google Scholar] [CrossRef]
  20. Brzeszcz, J.; Kapusta, P.; Steliga, T.; Turkiewicz, A. Hydrocarbon removal by two differently developed microbial inoculants and comparing their actions with biostimulation treatment. Molecules 2020, 25, 661. [Google Scholar] [CrossRef] [Green Version]
  21. Rostami, S.; Azhdarpoor, A. The application of plant growth regulators to improve phytoremediation of contaminated soils: A review. Chemosphere 2019, 220, 818–827. [Google Scholar] [CrossRef]
  22. Zhang, X.; Su, C.; Liu, X.; Liu, Z.; Liang, X.; Zhang, Y.; Feng, Y. Effect of plant-growth-promoting rhizobacteria on phytoremediation efficiency of Scirpus triqueter in pyrene-Ni co-contaminated soils. Chemosphere 2020, 241, 125027. [Google Scholar] [CrossRef] [PubMed]
  23. Baoune, H.; El Hadj-Khelil, A.O.; Pucci, G.; Sineli, P.; Loucif, L.; Polti, M.A. Petroleum degradation by endophytic Streptomyces spp. Isolated from plants grown in contaminated soil of southern algeria. Ecotoxicol. Environ. Saf. 2018, 147, 602–609. [Google Scholar] [CrossRef] [PubMed]
  24. Iqbal, A.; Arshad, M.; Karthikeyan, R.; Gentry, T.J.; Rashid, J.; Ahmed, I.; Schwab, A.P. Diesel degrading bacterial endophytes with plant growth promoting potential isolated from a petroleum storage facility. 3 Biotech 2019, 9, 35. [Google Scholar] [CrossRef] [PubMed]
  25. Rafique, H.; Asghar, H.; Zahir, Z.; Shahbaz, M. Evaluation of plant growth promoting bacteria for inducing stress tolerance in plants against petroleum hydrocarbons. Pak. J. Agric. Sci. 2015, 52, 905–914. [Google Scholar]
  26. Guo, M.; Gong, Z.; Miao, R.; Rookes, J.; Cahill, D.; Zhuang, J. Microbial mechanisms controlling the rhizosphere effect of ryegrass on degradation of polycyclic aromatic hydrocarbons in an aged-contaminated agricultural soil. Soil Biol. Biochem. 2017, 113, 130–142. [Google Scholar] [CrossRef]
  27. García-Cruz, N.; Valdivia-Rivera, S.; Narciso-Ortiz, L.; García-Maldonado, J.; Uribe-Flores, M.; Aguirre-Macedo, M.; Lizardi-Jiménez, M. Diesel uptake by an indigenous microbial consortium isolated from sediments of the Southern Gulf of Mexico: Emulsion characterisation. Environ. Pollut. 2019, 250, 849–855. [Google Scholar] [CrossRef]
  28. Shahsavari, E.; Adetutu, E.M.; Anderson, P.A.; Ball, A.S. Tolerance of selected plant species to petrogenic hydrocarbons and effect of plant rhizosphere on the microbial removal of hydrocarbons in contaminated soil. Water Air Soil Pollut. 2013, 224, 1495. [Google Scholar] [CrossRef]
  29. Jukanti, A.K.; Gaur, P.M.; Gowda, C.; Chibbar, R.N. Nutritional quality and health benefits of chickpea (Cicer arietinum L.): A review. Br. J. Nutr. 2012, 108, S11–S26. [Google Scholar] [CrossRef] [Green Version]
  30. Shcherbakova, E.; Shcherbakov, A.; Andronov, E.; Gonchar, L.; Kalenskaya, S.; Chebotar, V. Combined pre-seed treatment with microbial inoculants and mo nanoparticles changes composition of root exudates and rhizosphere microbiome structure of chickpea (Cicer arietinum L.) plants. Symbiosis 2017, 73, 57–69. [Google Scholar] [CrossRef]
  31. FAOSTAT. Agriculture Database; FAOSTAT: Rome, Italy, 2015. [Google Scholar]
  32. Sani, S.G.A.S.; Chang, P.L.; Zubair, A.; Carrasquilla-Garcia, N.; Cordeiro, M.; Penmetsa, R.V.; Munis, M.F.H.; Nuzhdin, S.V.; Cook, D.R.; von Wettberg, E.J. Genetic diversity, population structure, and genetic correlation with climatic variation in chickpea (Cicer arietinum) landraces from Pakistan. Plant Genome 2018, 11, 170067. [Google Scholar] [CrossRef]
  33. Gartler, J.; Wimmer, B.; Soja, G.; Reichenauer, T.G. Effects of rapeseed oil on the rhizodegradation of polyaromatic hydrocarbons in contaminated soil. Int. J. Phytoremediat. 2014, 16, 671–683. [Google Scholar] [CrossRef]
  34. Hall, J.; Soole, K.; Bentham, R. Hydrocarbon phytoremediation in the family fabacea—A review. Int. J. Phytoremediat. 2011, 13, 317–332. [Google Scholar] [CrossRef]
  35. Gao, Y.; Zhu, L. Plant uptake, accumulation and translocation of phenanthrene and pyrene in soils. Chemosphere 2004, 55, 1169–1178. [Google Scholar] [CrossRef]
  36. Yang, H.; Su, Y.H.; Zhu, Y.G.; Chen, M.M.; Chen, B.D.; Liu, Y.X. Influences of polycyclic aromatic hydrocarbons (PAHs) on soil microbial community composition with or without vegetation. J. Environ. Sci. Health A 2007, 42, 65–72. [Google Scholar] [CrossRef]
  37. Xu, S.; Chen, Y.; Lin, K.; Chen, X.; Lin, Q.; Li, F.; Wang, Z. Removal of pyrene from contaminated soils by white clover. Pedosphere 2009, 19, 265–272. [Google Scholar] [CrossRef]
  38. Phillips, L.A.; Greer, C.W.; Germida, J.J. Culture-based and culture-independent assessment of the impact of mixed and single plant treatments on rhizosphere microbial communities in hydrocarbon contaminated flare-pit soil. Soil Biol. Biochem. 2006, 38, 2823–2833. [Google Scholar] [CrossRef]
  39. Thorsen, W.A.; Cope, W.G.; Shea, D. Bioavailability of PAHs: Effects of soot carbon and PAH source. Environ. Sci. Technol. 2004, 38, 2029–2037. [Google Scholar] [CrossRef]
  40. Estefan, G. Methods of Soil, Plant, and Water Analysis: A Manual for the West Asia and North Africa Region; ICARDA: Beirut, Lebanon, 2013. [Google Scholar]
  41. Ali, M.H.; Sattar, M.T.; Khan, M.I.; Naveed, M.; Rafique, M.; Alamri, S.; Siddiqui, M.H. Enhanced growth of mungbean and remediation of petroleum hydrocarbons by Enterobacter sp. MN17 and biochar addition in diesel contaminated soil. Appl. Sci. 2020, 10, 8548. [Google Scholar] [CrossRef]
  42. Afzal, M.J.; Khan, M.I.; Cheema, S.A.; Hussain, S.; Anwar-ul-Haq, M.; Ali, M.H.; Naveed, M. Combined application of Bacillus sp. MN-54 and phosphorus improved growth and reduced lead uptake by maize in the lead-contaminated soil. Environ. Sci. Pollut. Res. 2020, 27, 44528–44539. [Google Scholar] [CrossRef]
  43. Suja, F.; Rahim, F.; Taha, M.R.; Hambali, N.; Razali, M.R.; Khalid, A.; Hamzah, A. Effects of local microbial bioaugmentation and biostimulation on the bioremediation of total petroleum hydrocarbons (TPH) in crude oil contaminated soil based on laboratory and field observations. Int. Biodeterior. Biodegr. 2014, 90, 115–122. [Google Scholar] [CrossRef]
  44. Davis, K.E.; Joseph, S.J.; Janssen, P.H. Effects of growth medium, inoculum size, and incubation time on culturability and isolation of soil bacteria. Appl. Environ. Microbiol. 2005, 71, 826–834. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  45. Hamdani, S.A.F.; Aon, M.; Ali, L.; Aslam, Z.; Khalid, M.; Naveed, M. Application of Dalbergia sissoo biochar enhanced wheat growth, yield and nutrient recovery under reduced fertilizer doses in calcareous soil. Pak. J. Agric. Sci. 2017, 54, 5102. [Google Scholar]
  46. Ahamd, M.; Hussain, A.; Akhtar, M.F.-U.-Z.; Zafar-Ul-Hye, M.; Iqbal, Z.; Naz, T.; Iqbal, M.M. Effectiveness of multi-strain biofertilizer in combination with organic sources for improving the productivity of chickpea in drought ecology. Asian J. Agric. Biol. 2017, 5, 228–237. [Google Scholar]
  47. Arnon, D.I. Copper enzymes in isolated chloroplasts. Polyphenoloxidase in Beta vulgaris. Plant Physiol. 1949, 24, 1. [Google Scholar] [CrossRef] [Green Version]
  48. Sairam, R.K.; Rao, K.V.; Srivastava, G. Differential response of wheat genotypes to long term salinity stress in relation to oxidative stress, antioxidant activity and osmolyte concentration. Plant Sci. 2002, 163, 1037–1046. [Google Scholar] [CrossRef]
  49. Bates, L.S.; Waldren, R.P.; Teare, I. Rapid determination of free proline for water-stress studies. Plant Soil 1973, 39, 205–207. [Google Scholar] [CrossRef]
  50. Beauchamp, C.; Fridovich, I. Superoxide dismutase: Improved assays and an assay applicable to acrylamide gels. Anal. Biochem. 1971, 44, 276–287. [Google Scholar] [CrossRef]
  51. Angelini, R.; Manes, F.; Federico, R. Spatial and functional correlation between diamine-oxidase and peroxidase activities and their dependence upon de-etiolation and wounding in chick-pea stems. Planta 1990, 182, 89–96. [Google Scholar] [CrossRef]
  52. Snedecor, G.W. Cochran, WG: Statistical Methods; Iowa State College Press: Ames, IA, USA, 1980. [Google Scholar]
  53. Ikram, M.; Ali, N.; Jan, G.; Jan, F.G.; Rahman, I.U.; Iqbal, A.; Hamayun, M. IAA producing fungal endophyte Penicillium roqueforti Thom., enhances stress tolerance and nutrients uptake in wheat plants grown on heavy metal contaminated soils. PLoS ONE 2018, 13, e0208150. [Google Scholar] [CrossRef] [Green Version]
  54. Barati, M.; Bakhtiari, F.; Mowla, D.; Safarzadeh, S. Total petroleum hydrocarbon degradation in contaminated soil as affected by plants growth and biochar. Environ. Earth Sci. 2017, 76, 688. [Google Scholar] [CrossRef]
  55. Haq, I.; Kalamdhad, A.S. Phytotoxicity and cyto-genotoxicity evaluation of organic and inorganic pollutants containing petroleum refinery wastewater using plant bioassay. Environ. Technol Innov. 2021, 23, 101651. [Google Scholar] [CrossRef]
  56. Graj, W.; Lisiecki, P.; Szulc, A.; Chrzanowski, Ł.; Wojtera-Kwiczor, J. Bioaugmentation with petroleum-degrading consortia has a selective growth-promoting impact on crop plants germinated in diesel oil-contaminated soil. Water Air Soil Pollut. 2013, 224, 1676. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  57. Singha, L.P.; Sinha, N.; Pandey, P. Rhizoremediation prospects of polyaromatic hydrocarbon degrading rhizobacteria, that facilitate glutathione and glutathione-s-transferase mediated stress response, and enhance growth of rice plants in pyrene contaminated soil. Ecotoxicol. Environ. Saf. 2018, 164, 579–588. [Google Scholar] [CrossRef] [PubMed]
  58. Silambarasan, S.; Logeswari, P.; Ruiz, A.; Cornejo, P.; Kannan, V.R. Influence of plant beneficial Stenotrophomonas rhizophila strain CASB3 on the degradation of diuron-contaminated saline soil and improvement of Lactuca sativa growth. Environ. Sci. Pollut. Res. 2020, 27, 35195–35207. [Google Scholar] [CrossRef] [PubMed]
  59. Chicca, I.; Becarelli, S.; Bernabei, G.; Siracusa, G.; Di Gregorio, S. Innovative culturomic approaches and predictive functional metagenomic analysis: The isolation of hydrocarbonoclastic bacteria with plant growth promoting capacity. Water 2022, 14, 142. [Google Scholar] [CrossRef]
  60. Marques, A.P.; Pires, C.; Moreira, H.; Rangel, A.O.; Castro, P.M. Assessment of the plant growth promotion abilities of six bacterial isolates using Zea mays as indicator plant. Soil Biol. Biochem. 2010, 42, 1229–1235. [Google Scholar] [CrossRef] [Green Version]
  61. Hussain, I.; Puschenreiter, M.; Gerhard, S.; Sani, S.G.A.S.; Reichenauer, T.G. Differentiation between physical and chemical effects of oil presence in freshly spiked soil during rhizoremediation trial. Environ. Sci. Pollut. Res. 2019, 26, 18451–18464. [Google Scholar] [CrossRef] [Green Version]
  62. Liang, B.; Gao, T.; Zhao, Q.; Ma, C.; Chen, Q.; Wei, Z.; Li, C.; Li, C.; Ma, F. Effects of exogenous dopamine on the uptake, transport, and resorption of apple ionome under moderate drought. Front. Plant Sci. 2018, 9, 755. [Google Scholar] [CrossRef]
  63. Tariq, M.; Shah, A.A.; Yasin, N.A.; Ahmad, A.; Rizwan, M. Enhanced performance of Bacillus megaterium OSR-3 in combination with putrescine ammeliorated hydrocarbon stress in Nicotiana tabacum. Int. J. Phytoremediat. 2021, 23, 119–129. [Google Scholar] [CrossRef]
  64. Kaya, C.; Okant, M.; Ugurlar, F.; Alyemeni, M.N.; Ashraf, M.; Ahmad, P. Melatonin-mediated nitric oxide improves tolerance to cadmium toxicity by reducing oxidative stress in wheat plants. Chemosphere 2019, 225, 627–638. [Google Scholar] [CrossRef]
  65. Jin, X.; Liu, T.; Xu, J.; Gao, Z.; Hu, X. Exogenous GABA enhances muskmelon tolerance to salinity-alkalinity stress by regulating redox balance and chlorophyll biosynthesis. BMC Plant Biol. 2019, 19, 48. [Google Scholar] [CrossRef]
  66. Jabeen, M.; Akram, N.A.; Ashraf, M.; Alyemeni, M.N.; Ahmad, P. Thiamin stimulates growth and secondary metabolites in turnip (Brassica rapa L.) leaf and root under drought stress. Physiol. Plant. 2021, 172, 1399–1411. [Google Scholar] [CrossRef]
  67. Arellano, P.; Tansey, K.; Balzter, H.; Boyd, D.S. Field spectroscopy and radiative transfer modelling to assess impacts of petroleum pollution on biophysical and biochemical parameters of the amazon rainforest. Environ. Earth Sci. 2017, 76, 217. [Google Scholar] [CrossRef] [Green Version]
  68. Cevher-Keskin, B.; Selçukcan-Erol, Ç.; Yüksel, B.; Ertekin, Ö.; Yıldızhan, Y.; Onarıcı, S.; Kulen, O.; Memon, A.R. Comparative transcriptome analysis of Zea mays in response to petroleum hydrocarbon stress. Environ. Sci. Pollut. Res. 2018, 25, 32660–32674. [Google Scholar] [CrossRef]
  69. Singh, R.; Jha, A.B.; Misra, A.N.; Sharma, P. Differential responses of growth, photosynthesis, oxidative stress, metals accumulation and NRAMP genes in contrasting Ricinus communis genotypes under arsenic stress. Environ. Sci. Pollut. Res. 2019, 26, 31166–31177. [Google Scholar] [CrossRef]
  70. Sarkar, A.; Ghosh, P.K.; Pramanik, K.; Mitra, S.; Soren, T.; Pandey, S.; Mondal, M.H.; Maiti, T.K. A halotolerant Enterobacter sp. displaying ACC deaminase activity promotes rice seedling growth under salt stress. Res. Microbiol. 2018, 169, 20–32. [Google Scholar] [CrossRef]
  71. Sapre, S.; Gontia-Mishra, I.; Tiwari, S. ACC deaminase-producing bacteria: A key player in alleviating abiotic stresses in plants. In Plant Growth Promoting Rhizobacteria for Agricultural Sustainability; Springer: Berlin/Heidelberg, Germany, 2019; pp. 267–291. [Google Scholar]
  72. Zahir, Z.A.; Zafar-ul-Hye, M.; Sajjad, S.; Naveed, M. Comparative effectiveness of Pseudomonas and Serratia sp. Containing ACC-deaminase for coinoculation with Rhizobium leguminosarum to improve growth, nodulation, and yield of lentil. Biol. Fertil. Soils 2011, 47, 457–465. [Google Scholar] [CrossRef]
  73. Ali, M.H.; Khan, M.I.; Bashir, S.; Azam, M.; Naveed, M.; Qadri, R.; Bashir, S.; Mehmood, F.; Shoukat, M.A.; Li, Y. Biochar and Bacillus sp. MN54 assisted phytoremediation of diesel and plant growth promotion of maize in hydrocarbons contaminated soil. Agronomy 2021, 11, 1795. [Google Scholar] [CrossRef]
  74. Xun, F.; Xie, B.; Liu, S.; Guo, C. Effect of plant growth-promoting bacteria (PGPR) and arbuscular mycorrhizal fungi (AMF) inoculation on oats in saline-alkali soil contaminated by petroleum to enhance phytoremediation. Environ. Sci. Pollut. Res. 2015, 22, 598–608. [Google Scholar] [CrossRef]
  75. Rusin, M.; Gospodarek, J.; Barczyk, G.; Nadgórska-Socha, A. Antioxidant responses of Triticum aestivum plants to petroleum-derived substances. Ecotoxicology 2018, 27, 1353–1367. [Google Scholar] [CrossRef] [Green Version]
  76. Molina, L.; Segura, A. Biochemical and metabolic plant responses toward polycyclic aromatic hydrocarbons and heavy metals present in atmospheric pollution. Plants 2021, 10, 2305. [Google Scholar] [CrossRef] [PubMed]
  77. Desoky, E.-S.M.; Saad, A.M.; El-Saadony, M.T.; Merwad, A.-R.M.; Rady, M.M. Plant growth-promoting rhizobacteria: Potential improvement in antioxidant defense system and suppression of oxidative stress for alleviating salinity stress in Triticum aestivum (L.) plants. Biocatal. Agric. Biotechnol. 2020, 30, 101878. [Google Scholar] [CrossRef]
  78. Zhang, L.; Becker, D. Connecting proline metabolism and signaling pathways in plant senescence. Front. Plant Sci. 2015, 6, 552. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  79. Shen, Y.; Li, J.; Gu, R.; Yue, L.; Wang, H.; Zhan, X.; Xing, B. Carotenoid and superoxide dismutase are the most effective antioxidants participating in ROS scavenging in phenanthrene accumulated wheat leaf. Chemosphere 2018, 197, 513–525. [Google Scholar] [CrossRef] [PubMed]
  80. Ilyas, N.; Shoukat, U.; Saeed, M.; Akhtar, N.; Yasmin, H.; Khan, W.; Iqbal, S. Comparison of plant growth and remediation potential of pyrochar and thermal desorption for crude oil-contaminated soils. Sci. Rep. 2021, 11, 2817. [Google Scholar] [CrossRef]
  81. Ahmad, P.; Ahanger, M.A.; Egamberdieva, D.; Alam, P.; Alyemeni, M.N.; Ashraf, M. Modification of osmolytes and antioxidant enzymes by 24-epibrassinolide in chickpea seedlings under mercury (Hg) toxicity. J. Plant Growth Regul. 2018, 37, 309–322. [Google Scholar] [CrossRef]
  82. Gill, S.S.; Anjum, N.A.; Gill, R.; Yadav, S.; Hasanuzzaman, M.; Fujita, M.; Mishra, P.; Sabat, S.C.; Tuteja, N. Superoxide dismutase—Mentor of abiotic stress tolerance in crop plants. Environ. Sci. Pollut. Res. 2015, 22, 10375–10394. [Google Scholar] [CrossRef]
  83. Shafi, A.; Chauhan, R.; Gill, T.; Swarnkar, M.K.; Sreenivasulu, Y.; Kumar, S.; Kumar, N.; Shankar, R.; Ahuja, P.S.; Singh, A.K. Expression of SOD and APX genes positively regulates secondary cell wall biosynthesis and promotes plant growth and yield in Arabidopsis under salt stress. Plant Mol. Biol. 2015, 87, 615–631. [Google Scholar] [CrossRef]
  84. Hernández-Hernández, H.; Juárez-Maldonado, A.; Benavides-Mendoza, A.; Ortega-Ortiz, H.; Cadenas-Pliego, G.; Sánchez-Aspeytia, D.; González-Morales, S. Chitosan-pva and copper nanoparticles improve growth and overexpress the SOD and JA genes in tomato plants under salt stress. Agronomy 2018, 8, 175. [Google Scholar] [CrossRef] [Green Version]
  85. Wang, Z.; Xu, Y.; Zhao, J.; Li, F.; Gao, D.; Xing, B. Remediation of petroleum contaminated soils through composting and rhizosphere degradation. J. Hazard. Mater. 2011, 190, 677–685. [Google Scholar] [CrossRef]
  86. Ambreen, S.; Javed, M.; Hina, M.; Rasul, S.; Zafar, Z.U.; Manzoor, H.; Ogbaga, C.C.; Afzal, M.; Al-Qurainy, F.; Ashraf, M. Influence of sub-lethal crude oil concentration on growth, water relations and photosynthetic capacity of maize (Zea mays L.) plants. Environ. Sci. Pollut. Res. 2016, 23, 18320–18331. [Google Scholar]
  87. Heidari, M.; Karami, V. Effects of different mycorrhiza species on grain yield, nutrient uptake and oil content of sunflower under water stress. J. Saudi Soc. Agric. Sci. 2014, 13, 9–13. [Google Scholar] [CrossRef] [Green Version]
  88. Quan, X.; Zeng, J.; Ye, L.; Chen, G.; Han, Z.; Shah, J.M.; Zhang, G. Transcriptome profiling analysis for two tibetan wild barley genotypes in responses to low nitrogen. BMC Plant Biol. 2016, 16, 30. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  89. Haider, F.U.; Ejaz, M.; Cheema, S.A.; Khan, M.I.; Zhao, B.; Liqun, C.; Salim, M.A.; Naveed, M.; Khan, N.; Nunez-Delgado, A. Phytotoxicity of petroleum hydrocarbons: Sources, impacts and remediation strategies. Environ. Res. 2021, 197, 111031. [Google Scholar] [CrossRef] [PubMed]
  90. Peng, S.; Zhou, Q.; Cai, Z.; Zhang, Z. Phytoremediation of petroleum contaminated soils by Mirabilis jalapa L. In a greenhouse plot experiment. J. Hazard. Mater. 2009, 168, 1490–1496. [Google Scholar] [CrossRef]
  91. Kakar, K.U.; Nawaz, Z.; Cui, Z.; Almoneafy, A.A.; Ullah, R.; Shu, Q.Y. Rhizosphere-associated Alcaligenes and Bacillus strains that induce resistance against blast and sheath blight diseases, enhance plant growth and improve mineral content in rice. J. Appl. Microbiol. 2018, 124, 779–796. [Google Scholar] [CrossRef]
  92. Sałek, K.; Zgoła-Grześkowiak, A.; Kaczorek, E. Modification of surface and enzymatic properties of Achromobacter denitrificans and Stenotrophomonas maltophilia in association with diesel oil biodegradation enhanced with alkyl polyglucosides. Colloids Surf. B Biointerfaces 2013, 111, 36–42. [Google Scholar] [CrossRef]
  93. Xiao, Y.; Jiang, R.; Wu, X.; Zhong, Q.; Li, Y.; Wang, H. Comparative genomic analysis of Stenotrophomonas maltophilia strain W18 reveals its adaptative genomic features for fegrading polycyclic aromatic hydrocarbons. Microbiol Spectr. 2021, 9, e0142021. [Google Scholar] [CrossRef]
  94. Sreenivas, A.; Sathyanarayana Reddy, G.; Shivaji, S. Draft genome sequence of a psychrophilic bacterium, Sphingomonas antarcticum, isolated from the soils of Schirmacher oasis, Antarctica. Genome Announc. 2014, 2, e00696-14. [Google Scholar] [CrossRef] [Green Version]
  95. Satti, S.M.; Castro-Aguirre, E.; Shah, A.A.; Marsh, T.L.; Auras, R. Genome annotation of poly(lactic acid) degrading Pseudomonas aeruginosa, Sphingobacterium sp. and Geobacillus sp. Int. J. Mol. Sci. 2021, 22, 7385. [Google Scholar] [CrossRef]
  96. Karray, F.; Aloui, F.; Jemli, M.; Mhiri, N.; Loukil, S.; Bouhdida, R.; Sayadi, S. Pilot-scale petroleum refinery wastewaters treatment systems: Performance and microbial communities’ analysis. Process Saf. Environ. Prot. 2020, 141, 73–82. [Google Scholar] [CrossRef]
  97. Cerqueira, V.S.; Hollenbach, E.B.; Maboni, F.; Vainstein, M.H.; Camargo, F.A.; Maria do Carmo, R.P.; Bento, F.M. Biodegradation potential of oily sludge by pure and mixed bacterial cultures. Bioresour. Technol. 2011, 102, 11003–11010. [Google Scholar] [CrossRef] [Green Version]
  98. Gargouri, B.; Karray, F.; Mhiri, N.; Aloui, F.; Sayadi, S. Bioremediation of petroleum hydrocarbons-contaminated soil by bacterial consortium isolated from an industrial wastewater treatment plant. J. Chem. Technol. Biotechnol. 2014, 89, 978–987. [Google Scholar] [CrossRef]
  99. Cerqueira, A.; Souza, P.; Marques, M. Effects of direct and alternating current on the treatment of oily water in an electroflocculation process. Braz. J. Chem. Eng. 2014, 31, 693–701. [Google Scholar] [CrossRef] [Green Version]
  100. Shankar, S.; Kansrajh, C.; Dinesh, M.; Satyan, R.; Kiruthika, S.; Tharanipriya, A. Application of indigenous microbial consortia in bioremediation of oil-contaminated soils. Int. J. Environ. Sci. Technol. 2014, 11, 367–376. [Google Scholar] [CrossRef]
  101. Helmy, Q.; Laksmono, R.; Kardena, E. Bioremediation of aged petroleum oil contaminated soil: From laboratory scale to full scale application. Procedia Chem. 2015, 14, 326–333. [Google Scholar] [CrossRef] [Green Version]
  102. Shen, T.; Pi, Y.; Bao, M.; Xu, N.; Li, Y.; Lu, J. Biodegradation of different petroleum hydrocarbons by free and immobilized microbial consortia. Environ. Sci. Process. Impacts 2015, 17, 2022–2033. [Google Scholar] [CrossRef]
  103. Maddela, N.R.; Scalvenzi, L.; Venkateswarlu, K. Microbial degradation of total petroleum hydrocarbons in crude oil: A field-scale study at the low-land rainforest of ecuador. Environ. Technol. 2017, 38, 2543–2550. [Google Scholar] [CrossRef]
  104. Guarino, C.; Spada, V.; Sciarrillo, R. Assessment of three approaches of bioremediation (natural attenuation, landfarming and bioagumentation–assistited landfarming) for a petroleum hydrocarbons contaminated soil. Chemosphere 2017, 170, 10–16. [Google Scholar] [CrossRef]
  105. Zafra, G.; Absalón, Á.E.; Anducho-Reyes, M.Á.; Fernandez, F.J.; Cortés-Espinosa, D.V. Construction of PAH-degrading mixed microbial consortia by induced selection in soil. Chemosphere 2017, 172, 120–126. [Google Scholar] [CrossRef]
  106. Tao, K.; Liu, X.; Chen, X.; Hu, X.; Cao, L.; Yuan, X. Biodegradation of crude oil by a defined co-culture of indigenous bacterial consortium and exogenous Bacillus subtilis. Bioresour. Technol. 2017, 224, 327–332. [Google Scholar] [CrossRef] [PubMed]
  107. Kumar, V.; AlMomin, S.; Al-Aqeel, H.; Al-Salameen, F.; Nair, S.; Shajan, A. Metagenomic analysis of rhizosphere microflora of oil-contaminated soil planted with barley and alfalfa. PLoS ONE 2018, 13, e0202127. [Google Scholar] [CrossRef] [PubMed]
  108. Kumari, S.; Regar, R.K.; Manickam, N. Improved polycyclic aromatic hydrocarbon degradation in a crude oil by individual and a consortium of bacteria. Bioresour. Technol. 2018, 254, 174–179. [Google Scholar] [CrossRef] [PubMed]
  109. Djahnit, N.; Chernai, S.; Catania, V.; Hamdi, B.; China, B.; Cappello, S.; Quatrini, P. Isolation, characterization and determination of biotechnological potential of oil-degrading bacteria from algerian centre coast. J. Appl. Microbiol. 2019, 126, 780–795. [Google Scholar] [CrossRef]
  110. Hussain, F.; Hussain, I.; Khan, A.H.A.; Muhammad, Y.S.; Iqbal, M.; Soja, G.; Reichenauer, T.G.; Yousaf, S. Combined application of biochar, compost, and bacterial consortia with Italian ryegrass enhanced phytoremediation of petroleum hydrocarbon contaminated soil. Environ. Exp. Bot. 2018, 153, 80–88. [Google Scholar] [CrossRef]
  111. Omrani, R.; Spini, G.; Puglisi, E.; Saidane, D. Modulation of microbial consortia enriched from different polluted environments during petroleum biodegradation. Biodegradation 2018, 29, 187–209. [Google Scholar] [CrossRef]
  112. Piubeli, F.A.; Dos Santos, L.G.; Fernandez, E.N.; Da Silva, F.H.; Durrant, L.R.; Grossman, M.J. The emergence of different functionally equivalent PAH degrading microbial communities from a single soil in liquid PAH enrichment cultures and soil microcosms receiving PAHs with and without bioaugmentation. Pol. J. Microbiol. 2018, 67, 365–375. [Google Scholar] [CrossRef] [Green Version]
  113. Suganthi, S.H.; Murshid, S.; Sriram, S.; Ramani, K. Enhanced biodegradation of hydrocarbons in petroleum tank bottom oil sludge and characterization of biocatalysts and biosurfactants. J. Environ. Manage. 2018, 220, 87–95. [Google Scholar] [CrossRef]
  114. Tiralerdpanich, P.; Sonthiphand, P.; Luepromchai, E.; Pinyakong, O.; Pokethitiyook, P. Potential microbial consortium involved in the biodegradation of diesel, hexadecane and phenanthrene in mangrove sediment explored by metagenomics analysis. Mar. Pollut. Bull. 2018, 133, 595–605. [Google Scholar] [CrossRef]
  115. Lu, C.; Hong, Y.; Liu, J.; Gao, Y.; Ma, Z.; Yang, B.; Ling, W.; Waigi, M.G. A PAH-degrading bacterial community enriched with contaminated agricultural soil and its utility for microbial bioremediation. Environ. Pollut. 2019, 251, 773–782. [Google Scholar] [CrossRef]
  116. Woźniak-Karczewska, M.; Lisiecki, P.; Białas, W.; Owsianiak, M.; Piotrowska-Cyplik, A.; Wolko, Ł.; Ławniczak, Ł.; Heipieper, H.J.; Gutierrez, T.; Chrzanowski, Ł. Effect of bioaugmentation on long-term biodegradation of diesel/biodiesel blends in soil microcosms. Sci. Total Environ. 2019, 671, 948–958. [Google Scholar] [CrossRef]
  117. Barbato, M.; Mapelli, F.; Crotti, E.; Daffonchio, D.; Borin, S. Cultivable hydrocarbon degrading bacteria have low phylogenetic diversity but highly versatile functional potential. Int. Biodeterior. Biodegrad. 2019, 142, 43–51. [Google Scholar] [CrossRef]
  118. Cavalcanti, T.G.; de Souza, A.F.; Ferreira, G.F.; Dias, D.S.B.; Severino, L.S.; Morais, J.P.S.; de Sousa, K.A.; Vasconcelos, U. Use of agro-industrial waste in the removal of phenanthrene and pyrene by microbial consortia in soil. Waste Biomass Valorization 2019, 10, 205–214. [Google Scholar] [CrossRef]
  119. Xia, M.; Fu, D.; Chakraborty, R.; Singh, R.P.; Terry, N. Enhanced crude oil depletion by constructed bacterial consortium comprising bioemulsifier producer and petroleum hydrocarbon degraders. Bioresour. Technol. 2019, 282, 456–463. [Google Scholar] [CrossRef] [Green Version]
  120. Yang, R.; Liu, G.; Chen, T.; Li, S.; An, L.; Zhang, G.; Li, G.; Chang, S.; Zhang, W.; Chen, X. Characterization of the genome of a nocardia strain isolated from soils in the qinghai-tibetan plateau that specifically degrades crude oil and of this biodegradation. Genomics 2019, 111, 356–366. [Google Scholar] [CrossRef]
  121. Diallo, M.; Vural, C.; Cay, H.; Ozdemir, G. Enhanced biodegradation of crude oil in soil by a developed bacterial consortium and indigenous plant growth promoting bacteria. J. Appl. Microbiol. 2021, 130, 1192–1207. [Google Scholar] [CrossRef]
  122. Milić, J.; Avdalović, J.; Šolević Knudsen, T.; Gojgić-Cvijović, G.; Jednak, T.; Vrvić, M. Initial microbial degradation of polycyclic aromatic hydrocarbons. Chem. Ind. Chem. Eng. Q. 2016, 22, 293–299. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Effect of bacterial consortia of selected bacterial strains on the shoot fresh (A) and dry (B) weights, and root fresh (C) and dry (D) weights of chickpeas grown under hydrocarbons contamination. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
Figure 1. Effect of bacterial consortia of selected bacterial strains on the shoot fresh (A) and dry (B) weights, and root fresh (C) and dry (D) weights of chickpeas grown under hydrocarbons contamination. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
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Figure 2. Effect of bacterial consortia on chlorophyll a (A), chlorophyll b (B), total chlorophylls (C), carotenoids (D), relative water contents (E) and membrane stability index (F) of fresh leaves of chickpea grown under hydrocarbons stress. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
Figure 2. Effect of bacterial consortia on chlorophyll a (A), chlorophyll b (B), total chlorophylls (C), carotenoids (D), relative water contents (E) and membrane stability index (F) of fresh leaves of chickpea grown under hydrocarbons stress. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
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Figure 3. Effect of microbial consortia on PHCs removal from hydrocarbons-contaminated soil in the presence or absence of chickpea plants. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
Figure 3. Effect of microbial consortia on PHCs removal from hydrocarbons-contaminated soil in the presence or absence of chickpea plants. Columns represent the means of triplicate. Standard errors are represented by bars and small letters above columns denote the statistical variation among different means. PHCs, petroleum hydrocarbons; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2.
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Table 1. Physicochemical properties of the soil used in this study.
Table 1. Physicochemical properties of the soil used in this study.
ParametersUncontaminated SoilContaminated Soil
TextureSandy loam (sand 53%, silt 25% and clay 22%)Sandy loam (sand 73%, silt 08% and clay 19%)
pH7.95 ± 0.178.2 ± 0.24
EC (dS m−1)1.07 ± 0.281.45 ± 0.21
CEC (mmolc L−1)16.3 ± 1.4314.3 ± 1.73
Organic matter (%)0.73 ± 0.050.47 ± 0.03
Total N (mg kg−1)179.8 ± 3.2091.8 ± 8.42
Available P (mg kg−1)86.7 ± 1.0932.7 ± 3.49
Available K (mg kg−1)58.4 ± 2.3539.5 ± 2.05
PHCs (%)ND1.2 ± 0.04
Values represent means (n = 3) ± standard errors; EC, electrical conductivity; CEC, cation exchange capacity; PHCs, Petroleum hydrocarbons; ND, not detectable.
Table 2. Detail of treatments used in this study.
Table 2. Detail of treatments used in this study.
TreatmentsDetail
ControlUncontaminated soil with chickpea plants but without bacterial consortium
PHCsHydrocarbons contaminated soil without chickpea plants and microbes
PHCs + CPHydrocarbons contaminated soil with chickpea plants but without bacterial consortium
CP + BC1Uncontaminated soil with chickpea plants and bacterial consortium 1
PHCs + BC1Hydrocarbons contaminated soil with bacterial consortium 1 but without chickpea plants
PHCs + CP + BC1Hydrocarbons contaminated soil with chickpea plants and bacterial consortium 1
CP + BC2Uncontaminated soil with chickpea plants and bacterial consortium 2
PHCs + BC2Hydrocarbons contaminated soil with bacterial consortium 2 but without chickpea plants
PHCs + CP + BC2Hydrocarbons contaminated soil with chickpea plants and bacterial consortium 2
BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, Chickpea plants.
Table 3. Effect of bacterial consortia addition on seedling emergence of chickpeas under petroleum hydrocarbons stress.
Table 3. Effect of bacterial consortia addition on seedling emergence of chickpeas under petroleum hydrocarbons stress.
TreatmentsSeedling Emergence (%)
3 DAS4 DAS5 DAS6 DAS7 DAS
Control44.4 ± 5.57 ab66.7 ± 9.62 ab77.8 ± 5.54 ab83.3 ± 9.62 ab83.3 ± 9.62 ab
PHCs + CP11.1 ± 5.57 c38.9 ± 5.57 c55.6 ± 5.57 c55.6 ± 5.57 c55.6 ± 5.57 c
CP + BC150.1 ± 9.59 a72.2 ± 5.53 a83.3 ± 9.62 a88.9 ± 5.57 ab88.9 ± 5.57 ab
PHCs + CP + BC122.2 ± 5.53 c44.4 ± 5.57 c61.1 ± 5.57 bc72.2 ± 5.54 bc72.2 ± 5.54 bc
CP + BC255.6 ± 5.57 a72.2 ± 5.54 a88.9 ± 5.57 a94.4 ± 5.57 a94.4 ± 5.57 a
PHCs + CP + BC227.8 ± 5.53 bc50.0 ± 9.65 bc72.2 ± 5.54 abc77.8 ± 5.54 ab77.8 ± 5.54 ab
Seedling emergence in all treatments was noted on daily basis (from 3rd DAS to 7th DAS). Values are the means of three replicates ± standard errors. Means with different letters are significantly different at p ≤ 0.05 according to LSD test. BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, chickpea plant; DAS, days after sowing.
Table 4. Effect of bacterial consortia on morphological attributes of chickpea plants grown under petroleum hydrocarbons stress.
Table 4. Effect of bacterial consortia on morphological attributes of chickpea plants grown under petroleum hydrocarbons stress.
TreatmentsSL (cm)RL (cm)NNNPNSNCL
Control36.3 ± 0.88 b21.3 ± 0.88 bc10.7 ± 0.73 c20.33 ± 0.88 b3.33 ± 0.33 ab71.7 ± 4.92 c
PHCs + CP28.7 ± 1.20 c16.0 ± 0.58 d7.67 ± 0.60 e15.0 ± 0.58 c2.67 ± 0.33 b51.0 ± 4.17 d
CP + BC147.3 ± 2.03 a26.3 ± 2.61 ab12.3 ± 0.33 b23.0 ± 1.16 ab3.67 ± 0.33 ab87.0 ± 5.29 b
PHCs + CP + BC132.3 ± 0.88 bc17.3 ± 0.33 cd8.67 ± 0.29 de16.3 ± 0.68 bc3.00 ± 0.58 b57.3 ± 2.97 d
CP + BC251.3 ± 3.93 a31.0 ± 2.31 a14.3 ± 0.33 a25.7 ± 0.88 a4.33 ± 0.33 a101 ± 3.85 a
PHCs + CP + BC234.7 ± 0.88 bc18.7 ± 1.20 cd9.33 ± 0.33 cd17.3 ± 0.33 c3.33 ± 0.33 ab62.3 ± 1.77 cd
These parameters were determined in all treatments at the time of harvesting on the same day (i.e., 120 DAS). Values are the means of three replicates ± standard errors. Means with different letters are significantly different at p ≤ 0.05 according to LSD test: SL, Shoot length; RL, root length; NN, number of nodules; NP, number of pods per plant; NS, number of stems per plant; and NCL, number of compound leaves per plant; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, chickpea plant.
Table 5. Effect of bacterial consortia on physiological attributes of chickpea plants grown under petroleum hydrocarbons stress.
Table 5. Effect of bacterial consortia on physiological attributes of chickpea plants grown under petroleum hydrocarbons stress.
TreatmentsCC (SPAD Value)Ft (µmolm−2 s−1)PAR (µmolm−2 s−1)YII (µmolm−2 s−1)ETR (µmolm−2 s−1)
Control41.3 ± 0.89 b232.7 ± 23.1 cd746 ± 20.1 a0.74 ± 0.04 bc50.1 ± 2.98 c
PHCs + CP31.7 ± 1.41 c173.0 ± 22.3 d550 ± 22.4 c0.59 ± 0.03 d43.7 ± 2.02 c
CP + BC146.4 ± 0.40 ba320.3 ± 22.3 b777 ± 18.5 a0.80 ± 0.01 ab61.3 ± 4.87 ab
PHCs + CP + BC138.5 ± 1.43 b230.3 ± 10.4 cd618 ± 13.9 b0.68 ± 0.02 cd48.1 ± 1.95 c
CP + BC249.7 ± 1.02 a392 ± 15.9 a783 ± 21.2 a0.88 ± 0.02 a70.0 ± 2.66 a
PHCs + CP + BC240.9 ± 0.84 b268 ± 8.97 bc644 ± 11.2 b0.72 ± 0.01 bc51.3 ± 2.43 bc
Values are the means of three replicates ± standard errors. Means with different letters are significantly different at p ≤ 0.05 according to LSD test: CC, chlorophyll contents (SPAD value); Ft, fluorescence yield; PAR, photosynthetically active radiation; YII, photochemical quantum yield; ETR, electron transport rate; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, chickpea plant.
Table 6. Effect of bacterial consortia on the production of various antioxidants in chickpea plants grown under petroleum hydrocarbons stress.
Table 6. Effect of bacterial consortia on the production of various antioxidants in chickpea plants grown under petroleum hydrocarbons stress.
TreatmentsPC (µmole g−1 FW)CAT (U mg−1 Protein FW)SOD (U mg−1 Protein FW)POD (U mg−1 Protein FW)
Control23.7 ± 1.34 d4.29 ± 0.32 b7.44 ± 0.27 c69.3 ± 2.60 c
PHCs + CP35.0 ± 1.88 a5.89 ± 0.56 a11.3 ± 0.56 a88.1 ± 3.52 a
CP + BC125.7 ± 1.59 cd4.85 ± 0.21 b7.78 ± 0.58 c76.7 ± 1.70 bc
PHCs + CP + BC130.2 ± 1.71 abc5.21 ± 0.32 ab10.6 ± 1.12 ab78.7 ± 3.33 b
CP + BC226.5 ± 2.11 bcd5.09 ± 0.08 ab8.58 ± 0.73 bc77.8 ± 2.32 bc
PHCs + CP + BC230.9 ± 1.02 ab5.29 ± 0.15 ab9.81 ± 0.20 ab74.4 ± 1.19 b
Values are the means of three replicates ± standard errors. Means with different letters are significantly different at p ≤ 0.05 according to LSD test: PC, proline contents; CAT, catalase; SOD, superoxide dismutase; POD, peroxidase; BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, chickpea plant; FW, fresh weight.
Table 7. Effect of bacterial consortia on the uptake of macronutrients in chickpea plants grown under petroleum hydrocarbons stress.
Table 7. Effect of bacterial consortia on the uptake of macronutrients in chickpea plants grown under petroleum hydrocarbons stress.
TreatmentsNutrient Uptake (%) by Plants
NitrogenPhosphorusPotassium
Control0.025 ± 0.001 b0.015 ± 0.001 ab0.015 ± 0.001 b
PHCs + CP0.017 ± 0.001 c0.012 ± 0.001 c0.012 ± 0.001 c
CP + BC10.031 ± 0.001 a0.017 ± 0.001 ab0.020 ± 0.001 a
PHCs + CP + BC10.021 ± 0.001 c0.014 ± 0.001 bc0.015 ± 0.001 b
CP + BC20.034 ± 0.001 a0.017 ± 0.001 a0.021 ± 0.001 a
PHCs + CP + BC20.022 ± 0.001 bc0.014 ± 0.001 bc0.016 ± 0.001 b
Values are the means of three replicates ± standard errors. Means with different letters are significantly different at p ≤ 0.05 according to LSD test. BC1, bacterial consortium of selected bacterial strains-1; BC2, bacterial consortium of selected bacterial strains-2; PHCs, petroleum hydrocarbons; CP, chickpea plant.
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Ali, M.H.; Khan, M.I.; Naveed, M.; Tanvir, M.A. Microbe-Assisted Rhizoremediation of Hydrocarbons and Growth Promotion of Chickpea Plants in Petroleum Hydrocarbons-Contaminated Soil. Sustainability 2023, 15, 6081. https://doi.org/10.3390/su15076081

AMA Style

Ali MH, Khan MI, Naveed M, Tanvir MA. Microbe-Assisted Rhizoremediation of Hydrocarbons and Growth Promotion of Chickpea Plants in Petroleum Hydrocarbons-Contaminated Soil. Sustainability. 2023; 15(7):6081. https://doi.org/10.3390/su15076081

Chicago/Turabian Style

Ali, Muhammad Hayder, Muhammad Imran Khan, Muhammad Naveed, and Muhammad Ayyoub Tanvir. 2023. "Microbe-Assisted Rhizoremediation of Hydrocarbons and Growth Promotion of Chickpea Plants in Petroleum Hydrocarbons-Contaminated Soil" Sustainability 15, no. 7: 6081. https://doi.org/10.3390/su15076081

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