Next Article in Journal
Effect of a Fortified Biostimulant Extract on Tomato Plant Productivity, Physiology, and Growing Media Properties
Previous Article in Journal
Emerging Insights into the Roles of the Rhizome–Culm System in Bamboo Shoot Development through Analysis of Non-Structural Carbohydrate Changes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Spatial O2 Profile in Coix lacryma-jobi and Sorghum bicolor along the Gas Diffusion Pathway under Waterlogging Conditions

1
The United Graduate School of Agricultural Sciences, Kagoshima University, Kagoshima City 890-0065, Japan
2
Faculty of Agriculture, Kagoshima University, Kagoshima City 890-0065, Japan
*
Author to whom correspondence should be addressed.
Submission received: 21 November 2023 / Revised: 13 December 2023 / Accepted: 16 December 2023 / Published: 19 December 2023
(This article belongs to the Special Issue Aerenchyma in Plants: Formation, Structure and Function)

Abstract

:
While internal aeration in plants is critical for adaptation to waterlogging, there is a gap in understanding the differences in oxygen diffusion gradients from shoots to roots between hypoxia-tolerant and -sensitive species. This study aims to elucidate the differences in tissue oxygen concentration at various locations on the shoot and root between a hypoxia-tolerant species and a -sensitive species using a microneedle sensor that allows for spatial oxygen profiling. Job’s tears, a hypoxia-tolerant species, and sorghum, a hypoxia-susceptible species, were tested. Plants aged 10 days were acclimated to a hypoxic agar solution for 12 days. Oxygen was profiled near the root tip, root base, root shoot junction, stem, and leaf. An anatomical analysis was also performed on the roots used for the O2 profile. The oxygen partial pressure (pO2) values at the root base and tip of sorghum were significantly lower than that of the root of Job’s tears. At the base of the root of Job’s tears, pO2 rapidly decreased from the root cortex to the surface, indicating a function to inhibit oxygen leakage. No significant differences in pO2 between the species were identified in the shoot part. The root cortex to stele ratio was significantly higher from the root tip to the base in Job’s tears compared to sorghum. The pO2 gradient began to differ greatly at the root shoot junction and root base longitudinally, and between the cortex and stele radially, between Job’s tears and sorghum. Differences in the root oxygen retention capacity and the cortex to stele ratio are considered to be related to differences in pO2.

1. Introduction

Floods are categorized as submergence, partial submergence, waterlogging [1]. Submergence is a serious environmental stress that even threatens the production of rice, which is well adapted to wetland conditions [2]. Initially, almost all field crops struggle with the stress from partial submergence or even waterlogging, leading to restricted growth and yield. Global estimates indicate that approximately 10–12% of agricultural lands face waterlogging or severe soil drainage constraints [3]. In such conditions, the initial consequence is the depletion of oxygen in the soil, causing root hypoxia, which constrains nutrient absorption, root elongation, and maintenance [4]. Prolonged soil and root hypoxia disrupts the nutrient balance in plants, and reactive oxygen species can impact not only the roots but also the leaves [5]. The accumulation of reduced minerals [6] and soil phytotoxins [7], depending on soil type, can exacerbate this situation. Wetland plant species can endure such conditions due to their ability to continually supply oxygen to their roots [8]. Oxygen supplied to the roots not only sustains root respiration but also safeguards the roots from reducing conditions by oxidizing the root vicinity [9,10,11]. Comparative studies of plants in wetlands indicate that their ability to maintain respiration depends not on controlling the amount of respiration, but on supplying the necessary oxygen for respiration [12]. Therefore, while the stress induced by soil hypoxia is diversified by expanding spatiotemporal elements, the ability to provide oxygen to the roots is crucial from the outset.
The efficient supply of oxygen to the roots involves considering the characteristics of the above-ground parts as an oxygen supply source and the roots as a sink [8,13]. A meta-analysis integrating 129 studies on tissue oxygen concentrations in plants demonstrated longitudinal oxygen diffusion from the leaves to the roots [14]. Additionally, evidence from noninvasive methods using N-isotopes showed leaf-to-root gas diffusion in partially submerged rice plants [15]. Thus, the oxygen transport among the root, stem, and leaf organs is becoming clearer, but still only a limited number of these tissue oxygen dynamics have been elucidated in a single study. In particular, studies of oxygen dynamics in oxygen diffusion pathways under waterlogging conditions are limited, and tissue oxygen concentration profiles remain at the forefront. Concerning the significant contribution of the above-ground parts as an oxygen source, photosynthetically derived oxygen accumulates in the above-ground portions of submerged plants and serves as an oxygen source to the roots [16,17,18]. However, it remains unknown whether the oxygen transport properties of the leaves and stems contribute to interspecific differences in oxygen concentrations in waterlogged plants in which the above-ground parts are exposed to an atmosphere with a lower gas diffusion resistance than water. Although some studies suggest that differences in the above-ground parts’ porosity can affect gas diffusion to roots [19,20], no tissue oxygen data have been reported to discuss the extent of this effect under waterlogged conditions. Therefore, this study aims to elucidate the differences in the oxygen diffusion gradient from shoots to roots between hypoxia-tolerant and -sensitive species under waterlogging conditions. This investigation could offer valuable insights for enhancing plant internal aeration in the design of waterlogging-tolerant varieties. Micro-oxygen electrodes are a powerful tool to address this issue, combining high resolution, rapid response, and signal stability [21,22]. By ascertaining the distance at which the sensor is inserted by the manipulator, it is possible to measure the tissue oxygen concentration by matching the position of the tissue with the oxygen concentration [23,24,25].
In this study, we test Job’s tears (Coix lacryma-jobi var. ma-yuen; cv. Riogrande de sul) as a waterlogging-tolerant species and sorghum (Sorghum bicolor; cv. High-grain sorghum) as a waterlogging-sensitive species. Our endeavor is noteworthy as it introduces these two plant species, Job’s tears and sorghum, which have not been previously examined, to the existing collection of 112 species studied for tissue oxygen concentrations [14]. Tissue oxygen measurements have never been performed on these two species, but based on the stability of growth and transpiration under waterlogging in these two species [26,27], we hypothesize that tissue oxygen levels will be higher at least in the root tip of Job’s tears than in that of sorghum. It is worth highlighting that Job’s tears are considered the most closely related crop to sorghum [28]. The waterlogging-tolerant and humidity-induced disease-resistant traits observed in the Coix family, to which Job’s tears belong, are anticipated to contribute to the improvement in resistance breeding in maize and sorghum [29,30].

2. Results

2.1. The pO2 Profile in Root and Shoot

The pO2 in the root was continuously measured in each sample until a steep O2 decrease was observed in the root stele. The highest peak of pO2 (9.3 kPa in the root tip of Job’s tears; 3.5 kPa in the root tip of sorghum) was found in the root cortex layer, while in the stele, pO2 (6.4 kPa in the root tip of Job’s tears; 1.5 kPa in the root tip of sorghum) decreased in each root (Figure 1a,b,f,g, respectively). The lowest pO2 values were collected as stele pO2 for statistical comparison. Additionally, Job’s tears showed a steep pO2 decrease across the root cortex to the root epidermis (41% lower in the epidermis relative to the cortex layer) at 30 mm from the root base (Figure 1b). Even at the root base, sorghum pO2 in the cortex and stele was lower than that of Job’s tears (62.4% lower in the cortex and 76.5% lower in the stele; Figure 1b,g, respectively). Therefore, we conducted a pO2 investigation of the above-ground parts using plants of the same age.
The results of the root shoot junction profile showed that the highest pO2 peaks (13.4 kPa in Job’s tears; 8.4 kPa in sorghum) were present in more internal tissues than on the tissue surface (7.0 kPa in Job’s tears and 4.9 kPa in Sorghum; Figure 1c,h, respectively). The highest peak of pO2 in the root shoot junction tended to be higher in Job’s tears than in sorghum (Figure 1c,h). However, the maximum pO2 in the root shoot junction of sorghum was 14.7 kPa, which was not inferior when compared to that of Job’s tears. The highest pO2 values of the shoot and leaves were clearly higher than those of the agar-submerged parts (Figure 1d,e,i,j, respectively). The gap in pO2 between the species was quite narrow on the leaf and stem exposed to the atmosphere (11.0% lower in the stem and 19% lower in the leaf) compared to the root.
The highest peak of pO2 in the root cortical layer and root shoot junction was used for statistical comparison as the pO2 in the intercellular space. To exclude direct atmospheric involvement, the highest peaks of pO2 of the leaf and stem inside the point where the pO2 decreased were used for statistical comparison as the intercellular space.

2.2. Statistical Comparison of the pO2 of Intercellular Space and Root Stele, and Gradient from the Cortex to the Epidermis

The pO2 levels in the intercellular space tended to decrease in the following order: from the root shoot junction to the root base, and root tip for both species compared to the stem and leaf exposed to the atmosphere (Figure 2A). The intercellular pO2 of sorghum was significantly lower than that of Job’s tears at the root base and near the tips, by 6.1 kPa and 4.0 kPa, respectively (Figure 2A). In terms of stele pO2, it was significantly lower, at 83%, at the root tip of sorghum and 68% lower at the root base, compared to the corresponding positions in Job’s tears (Figure 2C). To evaluate the ability to retain oxygen by preventing its diffusion from the root cortex to the epidermis, we calculated the pO2 difference between the intercellular space and the lowest pO2 around the root epidermis (within 250 μm). The statistical comparisons of these differences revealed that Job’s tears had a significantly higher pO2 difference near the root base than sorghum (Figure 2C).

2.3. Root Cross-Section Area and Cortex Area to Stele Area Ratio

To explore the plant factors that influenc root pO2, we examined the pertinent characteristics through the dissection of the roots whose O2 level was profiled. The root aerenchyma was well identified in both species, especially from 30 mm from the root base to near the midpoint of the root, but was rarely identified within 10 mm of the base (Figure 3A). The root section area tended to be higher in Job’s tears than in sorghum within 10 mm from the root base (p = 0.09), with a significant difference observed at 30 mm from the root base (Figure 3B). Additionally, the root CSR was significantly higher in Job’s tears compared to sorghum at every sampled point (Figure 3C).

3. Discussion

In this study, we analyzed the tissue oxygen profiles from the leaves and stems to root tips for two plant species that differ in waterlogging tolerance. Initially, we explored the interspecific differences in pO2 values in the leaves and stems exposed to the atmosphere. When inserting the sensor into the stem, we observed points of extreme decrease in pO2 within the inner part of the stem (Figure 1d,j), possibly due to gas diffusion blocking the effect of the cuticle [31]. There was no significant difference between species in the value of the high peak, assumed to indicate a supply of oxygen to the surrounding tissues, and it was not significantly higher than the pO2 exposed to the atmosphere (Figure 2A). Contrary to observations in submerged plants [16,17,18], the high oxygen accumulation and its contribution to the roots were not observed under the waterlogged conditions in this study. As discussed by Sou et al., the oxygen produced by photosynthesis did not contribute to the aeration of adventitious roots in the water [32]. Additionally, the comparison of tissue oxygen concentrations in light and dark conditions revealed that the differences in the oxygen concentrations in the leaves, clear in submerged and partially submerged conditions, were no longer significant in waterlogging and drained conditions [33]. In summary, photosynthetically produced oxygen from leaves and stems in the atmosphere contributes harder to the roots under waterlogged conditions than under submergence. However, these studies, including our current study, were conducted indoors, and a more rigorous investigation of whether oxygen levels of tissues exposed to the atmosphere affect the submerged portion of the plant will need to be further tested in the field in the future to account for the effects of intense light and atmospheric conditions, as was conducted in field trials on submerged rice plants [34].
In this study, stem submergence in the agar solution mimicking waterlogged soil was 1–2 cm, yet the oxygen partial pressure decreased by 6.6 kPa (S.E. 1.9) in Job’s tears and 9.0 kPa (S.E. 1.7) in sorghum as the oxygen diffused from the stem into the root shoot junction (Figure 2A). Although interspecific differences at the root shoot junction were not significant, the differences were more pronounced than in the atmospheric stem and leaf (Figure 2A). The tested samples used in this study formed little aerenchyma within 10 mm of the root base, but interestingly, oxygen was transported at the root sites beyond that point. Although oxygen diffusion resistance is expected to be higher than in tissues with well-formed aerenchyma, oxygen transport through intercellular spaces is considered to occur even in such tissues [35]. Considering the pO2 of the aerial stem at 100%, 44% of the oxygen was diffused to the cortex near the root tip and 33% to the stele of Job’s tears, while in sorghum, only 21% of the oxygen reached the cortex near the root tip and a mere 4% the stele (Figure 2A,B). Insufficient oxygen reaching the root tips, the central metabolic site of the root, implies severe limitations to root activity [4,36]. Root stele hypoxia and anoxia severely restrict the loading of essential ions to the xylem [37,38,39,40]. When plants encounter hypoxia due to waterlogging, they adapt by switching metabolic systems early in the stress period, but morphological changes are essential for adaptation to long-term stress [41]. In susceptible field crops, like wheat, roots that develop after encountering hypoxic stress are more adapted to hypoxia than roots that develop before the stress encounter [42]. In our study, sorghum exposed to 12 days of hypoxia exhibited a fundamental difference in oxygen transportation compared to Job’s tears. This underscores the need to address weaknesses in plant tissues exhibiting differences in oxygen concentration in field crops such as sorghum. Consequently, we will continue our study of root properties affecting oxygen diffusion longitudinally and radially.
The pO2 difference between the two species increased significantly as the oxygen diffused from the root shoot junction to the root base (Figure 2A). Oxygen retainability at the root base of Job’s tears was markedly higher than that of sorghum (Figure 2C), suggesting the presence of a ROL barrier-like function in the roots of Job’s tears. A similar pattern of tissue oxygen concentrations with a decrease in epidermal oxygen concentrations in the cortical layer has been reported in Glyceria maxima, which suppresses oxygen leakage from the roots [43]. The ROL barrier serves to prevent oxygen loss from the root base, enabling extended oxygen transport [9]. The ROL barrier has never been tested in Job’s tears. The ROL barrier has been termed the outer apoplastic barrier in a recent study and has multiple functions [44]. Future studies should examine the extent to which Job’s tears has any of these functions. Moreover, the advantage of possessing thicker and higher CSR roots for oxygen transport, as noted by Yamauchi et al. [40], is consistent with the characteristics of the roots of Job’s tear in this study (Figure 3B,C). The differences in longitudinal oxygen diffusion, influenced by high aeration and oxygen retention, contribute to variations in pO2 in the intercellular space at the root tips. Additionally, the formation of a larger cortical layer is crucial for facilitating sufficient oxygen diffusion to the stele [45]. The CSR of Job’s tears exceeded that of sorghum from the root base to the root tips, resulting in a radial difference in oxygen penetration into the stele. The chromosomal region controlling the inducible ROL barrier has already been identified [46], and there is a possibility of further QTL studies into the constitutive ROL barrier since the discovery of the wild rice that forms it [47]. In contrast, CSR regulation is a more recently discovered phenomenon than the ROL barrier, and its genetic domain has not yet been fully elucidated [48,49].
Utilizing the spatial measurements of tissue oxygen partial pressure, this study unveiled where differences in oxygen permeability occur in closely related species, sorghum and Job’s tears, under hypoxic agar-mimicked waterlogged soil conditions. However, this does not imply the absence of tolerant species with clearer differences in oxygen transport capacity at the root shoot junction. For instance, compared to previous studies, Nicaragua teosinte (14.0 kPa) exhibited a higher oxygen partial pressure at the root base [50] than the root base of Job’s tears (11.5 kPa) in this study. It is conceivable that the above-ground aerating capacity is similar or even higher in such plants. In addition, although the present study compared stress-acclimated plants, waterlogging-sensitive crops do not a have constitutive aerenchyma, a trait present in adapted species [51,52], and therefore, tissue oxygen differences may be even greater at the early stages of stress. How hypoxia is sensed and morphological adaptation occurs are still matters of debate for hypoxic-sensitive plants [53], and therefore, a follow-up comparison from the early stages of stress to stress acclimation should be investigated in future studies. At present, certain traits beneficial for adaptation to waterlogged environments are associated with trade-offs in adaptation to drought environments [54,55]. Therefore, traits with low adaptive costs that provide sufficient oxygen permeability for adaptation to target flooding environments need to be incorporated into field crops. The proper evaluation of such characteristics requires future research linking oxygen levels to traits in various crops.

4. Materials and Methods

4.1. Plant Material and Sample Preparation

Seeds from each species were sterilized using a 0.5% sodium hypochlorite solution for 30 min, followed by rinsing with distilled water. The sterilized seeds were then placed in Petri dishes with distilled water and incubated for three days at 31 °C. The germinated seeds were subsequently transferred to a 10 L tank filled with a hydroponic solution (Hyponica, Kyowa, Osaka, Japan; contents were as shown in Tada et al. [56]; pH was adjusted to 5.5–5.7 after dilution) diluted 500 times and floated for seven days at 27 °C. Light and dark cycles were set at 12 h each, with a photosynthetic active radiation of >400 μmol m−2 s−1 on the leaves during the daytime. The light source was a white light-emitting diode (SMD-50W, Gentos, Tokyo, Japan). Following this, the plants underwent a 12-day hypoxic acclimation process. Each of the three plants was grown in a 0.1% nutrient agar solution that was flushed with N2 gas until the dissolved oxygen concentration was lower than 1.0 mg/L. This 0.1% agar solution is a useful material to mimic the gas convection process under waterlogged soils [57]. The nutrient and atmospheric conditions were the same as those after germination. The 0.1% nutrient agar solution was renewed once on the 7th day after treatment. Plants on the 13th day of hypoxia acclimation were used for the subsequent O2 measurement.

4.2. Micro-O2 Profiles in Root and Shoot Tissues

To profile the oxygen status in the root tissue (30 mm from the root tip and 30 mm from the root base), a microsensor with a 25 μm tip diameter (OX25, Unisense A/S, Aarhus, Denmark) was utilized. For measurements in the shoot tissue (root shoot junction, stem, and leaf exposed to the atmosphere), a microsensor with a 100 μm tip diameter (OX100, Unisense A/S, Denmark) was employed. Each sensor was connected to a picoampere meter (UniAmp Single Channel; Unisense A/S, Denmark) and polarized overnight one day prior to each measurement. An intact plant was secured in a 2 L tank filled with 0.1% agar solution. For each measurement, the stems were submerged in the agar solution at 1 to 2 cm. A white light-emitting diode (SMD-50W, Gentos, Japan), serving as the light source, was installed for each measurement, providing photosynthetic active radiation to the leaf tip (500 μmol m−2 s−1), leaf base (200 to 210 μmol m−2 s−1), and stem (120 to 150 μmol m−2 s−1). The sensor, calibrated following the method by Jiménez et al. [58], was mounted on a micromanipulator (MP-2, Narishige Group, Tokyo, Japan). For the submerged parts (30 mm from root tip, 30 mm from root base, and root shoot junction), the sensor was carefully inserted into the agar solution, with the sensor tip monitored by an endoscope until it reached the tissue surface. For the aerial parts (stem and leaf), the sensor was carefully positioned to reach the tissue surface, guided by visual observation. Measurements were taken at intervals of 125 μm for over 30 s, and sensor signals were collected using data acquisition software (SENSORTRACE SUITE v.3.4.400; Unisense A/S, Denmark). The dissolved oxygen concentration in the agar solution was measured before the measurements, and if it exceeded 1.0 mg/L, N2 gas was flushed out of the plant to maintain the concentration below 1.0 mg/L. Measurements on the root were taken at 27.5 °C, while those on the shoot were taken at 26.0 °C. Since the units of the oxygen concentration values obtained were in μmol/L, they were converted to kPa using the following equation.
p O 2 = 100 10 6 [ O 2 ] K ( T )
where pO2 is the partial oxygen pressure. [O2] is the measured value (μmol/L) using the micro-oxygen sensor. K(T) is Henry’s constant at temperature T. In this study, 0.00128 mol/(kg·bar) (27.5 °C) and 0.00123 mol/(kg·bar) (26.0 °C) were used as the Henry’s constant values to calculate the partial pressure of the oxygen dissolved in water. To convert bar to kPa, we multiplied the values by 100.

4.3. Root Dissection and Measurements of Root Anatomical Traits

Following the O2 measurements, the roots that were measured were immediately cut from the shoot and stored at 4 °C. Cross-sections of the roots were obtained at 30 mm from the tip, at the halfway point between the two O2 measurements, 30 mm from the root base, and within 10 mm from the root base. These sections were prepared manually using a razor blade and were immediately placed on glass slides. Each section was photographed using a microscope (MP38T, As one, Osaka, Japan), equipped with a microscope camera (PCM500, As one, Japan). The outlines of the tissues (the whole area of the cross-section, the internal area of the epidermis, and the stele area) in the cross-sectional images were traced by freehand selection, and their areas were quantified using the ImageJ software (v.1.53e; National Institutes of Health, Bethesda, MD, USA). The root cross-section cortex area to stele area ratio (CSR) was calculated by dividing the cortex area (calculated by subtracting the stele area from the internal area of the epidermis) by the stele area.

4.4. Statistical Analysis

The Shapiro–Wilk normality test, F-test, Student’s t-test, and Welch’s t-test were conducted using the EZR software (v.1.61), which was programmed by Kanda [59] and is based on R software (v.4.2.2). Some datasets of the root cross-section area and root CSR of position between Job’s tears and sorghum included unequal variance. Therefore, Welch’s t-test was used for these parameters instead of the Student’s t-test.

5. Conclusions

From the longitudinal and radial comparisons of oxygen partial pressure from the leaves to the root tips, notable differences in the pO2 gradient emerged, particularly at the root shoot junction and root base longitudinally, as well as in the root cortex and root stele radially between Job’s tears (cv. Riogrande de sul) and sorghum (cv. High-grain sorghum). The oxygen retainability of the root and thicker and higher CSR roots contributed to longitudinal oxygen diffusion in Job’s tears. The high CSR allowed for the higher radial oxygen diffusion to the stele of Job’s tears.

Author Contributions

Conceptualization, S.T. and J.-I.S.; methodology, S.T. and J.-I.S.; validation, S.T. and K.G.; formal analysis, S.T.; investigation, S.T.; resources, J.-I.S. and S.T.; data curation, S.T. and J.-I.S.; writing—original draft preparation, S.T.; writing—review and editing, S.T., K.G. and J.-I.S.; visualization, K.G.; supervision, J.-I.S.; project administration, J.-I.S.; funding acquisition, J.-I.S. and S.T. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by a Research grant for advanced research, The United Graduate School of Agricultural Sciences, Kagoshima University, to J.-I.S. and S.T.

Data Availability Statement

Data will be made available upon request.

Acknowledgments

We thank the National agriculture and Food Research Organization, Gene Bank, Japan, for providing the seeds of Job’s tears (cv. Riogrande de sul). We also thank Shao-Hui Zheng for providing the seeds of sorghum (cv. High-grain sorghum). We also thank Masaya Masumori for advice on setting up an experimental system for oxygen measurement. We also thank Satoshi Shimamura for advice on the sensor choice for shoot O2 measurements. We would like to express our deepest gratitude to the editor-in-chief of this journal and all the reviewers for their constructive suggestions and comments.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Sasidharan, R.; Bailey-Serres, J.; Ashikari, M.; Atwell, B.J.; Colmer, T.D.; Fagerstedt, K.; Fukao, T.; Geigenberger, P.; Hebelstrup, K.H.; Hill, R.D.; et al. Community recommendations on terminology and procedures used in flooding and low oxygen stress research. New Phytol. 2017, 214, 1403–1407. [Google Scholar] [CrossRef] [PubMed]
  2. Bailey-Serres, J.; Parker, J.E.; Ainsworth, E.A.; Oldroyd, G.E.D.; Schroeder, J.I. Genetic strategies for improving crop yields. Nature 2019, 575, 109–118. [Google Scholar] [CrossRef] [PubMed]
  3. Kaur, G.; Singh, G.; Motavalli, P.P.; Nelson, K.A.; Orlowski, J.M.; Golden, B.R. Impacts and management strategies for crop production in waterlogged or flooded soils: A review. Agron. J. 2020, 112, 1475–1501. [Google Scholar] [CrossRef]
  4. Veen, B.W. Relation between root respiration and root activity. Plant Soil 1981, 63, 73–76. [Google Scholar] [CrossRef]
  5. Luan, H.; Shen, H.; Pan, Y.; Guo, B.; Lv, C.; Xu, R. Elucidating the hypoxic stress response in barley (Hordeum vulgare L.) during waterlogging: A proteomics approach. Sci. Rep. 2018, 8, 9655. [Google Scholar] [CrossRef]
  6. Laanbroek, H.J. Bacterial cycling of minerals that affect plant growth in waterlogged soils: A review. Aquat. Bot. 1990, 38, 109–125. [Google Scholar] [CrossRef]
  7. Casolo, V.; Zancani, M.; Pellegrini, E.; Filippi, A.; Gargiulo, S.; Konnerup, D.; Morandini, P.; Pedersen, O. Restricted O2 consumption in pea roots induced by hexanoic acid is linked to depletion of Krebs cycle substrates. Physiol. Plant 2023, 175, e14024. [Google Scholar] [CrossRef]
  8. Armstrong, W. Aeration in Higher Plants. Adv. Bot. Res. 1980, 7, 225–332. [Google Scholar] [CrossRef]
  9. Colmer, T.D. Long-distance transport of gases in plants: A perspective on internal aeration and radial oxygen loss from roots. Plant Cell Environ. 2003, 26, 17–36. [Google Scholar] [CrossRef]
  10. Koop-Jakobsen, K.; Mueller, P.; Meier, R.J.; Liebsch, G.; Jensen, K. Plant-sediment interactions in salt marshes—An optode imaging study of O2, pH, and CO2 gradients in the rhizosphere. Front. Plant Sci. 2018, 9, 541. [Google Scholar] [CrossRef]
  11. Tian, C.; Wang, C.; Tian, Y.; Wu, X.; Xiao, B. Root Radial Oxygen Loss and the Effects on Rhizosphere Microarea of Two Submerged Plants. Pol. J. Environ. Stud. 2015, 24, 1795–1802. [Google Scholar] [CrossRef] [PubMed]
  12. Striker, G.G. An overview of oxygen transport in plants: Diffusion and convection. Plant Biol. 2023, 25, 842–847. [Google Scholar] [CrossRef] [PubMed]
  13. Tamaru, S.; Yabuta, S.; Goto, K.; Khanthavong, P.; Sakagami, J.-I. Oxygen consumption and transportation in rice roots are highly dependent on leaf area and root dry weight ratio. Rhizosphere 2023, 25, 100644. [Google Scholar] [CrossRef]
  14. Herzog, M.; Pellegrini, E.; Pedersen, O. A meta-analysis of plant tissue O2 dynamics. Funct. Plant Biol. 2023, 50, 519–531. [Google Scholar] [CrossRef]
  15. Yin, Y.G.; Mori, Y.; Suzui, N.; Kurita, K.; Yamaguchi, M.; Miyoshi, Y.; Nagao, Y.; Ashikari, M.; Nagai, K.; Kawachi, N. Noninvasive imaging of hollow structures and gas movement revealed the gas partial-pressure-gradient-driven long-distance gas movement in the aerenchyma along the leaf blade to submerged organs in rice. New Phytol. 2021, 232, 1974–1984. [Google Scholar] [CrossRef] [PubMed]
  16. Sand-Jensen, K.; Pedersen, O.; Binzer, T.; Borum, J. Contrasting oxygen dynamics in the freshwater isoetid Lobelia dortmanna and the marine seagrass Zostera marina. Ann. Bot. 2005, 96, 613–623. [Google Scholar] [CrossRef]
  17. Pedersen, O.; Vos, H.; Colmer, T.D. Oxygen dynamics during submergence in the halophytic stem succulent Halosarcia pergranulata. Plant Cell Environ. 2006, 29, 1388–1399. [Google Scholar] [CrossRef]
  18. Koch, M.S.; Johnson, C.R.; Madden, C.J.; Pedersen, O. Irradiance, Water Column O2, and Tide Drive Internal O2 Dynamics and Meristem H2S Detection in the Dominant Caribbean-Tropical Atlantic Seagrass, Thalassia testudinum. Estuaries Coasts 2022, 45, 2543–2559. [Google Scholar] [CrossRef]
  19. Arikado, H.; Ikeda, K.; Taniyama, T. Anatomico-Ecological studies on the Aerenchyma and the Ventilating System in Rice Plants. Bull. Fac. Bioresour. Mie Univ. 1990, 3, 1–24. Available online: https://agriknowledge.affrc.go.jp/RN/2030460071.pdf (accessed on 26 June 2023).
  20. Evans, L.S.; Carvalho-Evans, M. Quantification of aerenchyma lacunae in Symplocarpus foetidus to provide air to roots. Rhizosphere 2021, 17, 100313. [Google Scholar] [CrossRef]
  21. Revsbech, N.P. An oxygen microsensor with a guard cathode. Limnol. Oceanogr. 1989, 34, 474–478. [Google Scholar] [CrossRef]
  22. Pedersen, O.; Revsbech, N.P.; Shabala, S. Microsensors in plant biology: In vivo visualization of inorganic analytes with high spatial and/or temporal resolution. J. Exp. Bot. 2020, 71, 3941–3954. [Google Scholar] [CrossRef] [PubMed]
  23. Lin, C.; Ogorek, L.L.P.; Pedersen, O.; Sauter, M. Oxygen in the air and oxygen dissolved in the floodwater both sustain growth of aquatic adventitious roots in rice. J. Exp. Bot. 2021, 72, 1879–1890. [Google Scholar] [CrossRef] [PubMed]
  24. Aguilar, E.A.; Turner, D.W.; Gibb, D.J.; Armstrong, W.; Sivasithamparam, K. Oxygen distribution and movement, respiration and nutrient loading in banana roots (Musa spp. L.) subjected to aerated and oxygen-depleted environments. Plant Soil 2023, 253, 91–102. [Google Scholar] [CrossRef]
  25. Colmer, T.D.; Winkel, A.; Kotula, L.; Armstrong, W.; Revsbech, N.P.; Pedersen, O. Root O2 consumption, CO2 production and tissue concentration profiles in chickpea, as influenced by environmental hypoxia. New Phytol. 2020, 226, 373–384. [Google Scholar] [CrossRef] [PubMed]
  26. Kono, Y.; Yamauchi, A.; Nonoyama, T. Comparison of Growth Responses to Waterlogging of Summer Cereals with Special Reference to Rooting Ability. Jpn. J. Crop Sci. 1988, 57, 321–331. [Google Scholar] [CrossRef]
  27. Kono, Y.; Yamauchi, A.; Kawamura, N.; Tatsumi, J. Interspecific Differences of the Capacities of Waterlogging and Drought Tolerances among Summer Cereals. Jpn. J. Crop Sci. 1987, 56, 115–129. [Google Scholar] [CrossRef]
  28. Liu, H.; Shi, J.; Cai, Z.; Huang, Y.; Lv, M.; Du, H.; Gao, Q.; Zuo, Y.; Dong, Z.; Huang, W.; et al. Evolution and Domestication Footprints Uncovered from the Genomes of Coix. Mol. Plant 2020, 13, 295–308. [Google Scholar] [CrossRef]
  29. Guo, C.; Wang, Y.; Yang, A.; He, J.; Xiao, C.; Lv, S.; Han, F.; Yuan, Y.; Yuan, Y.; Dong, X.; et al. The Coix Genome Provides Insights into Panicoideae Evolution and Papery Hull Domestication. Mol. Plant 2020, 13, 309–320. [Google Scholar] [CrossRef]
  30. Zhai, Y.; Shen, X.; Sun, Y.; Liu, Q.; Ma, N.; Zhang, X.; Jia, Q.; Liang, Z.; Wang, D. Genome-wide investigation of ARF transcription factor gene family and its responses to abiotic stress in Coix (Coix lacryma-jobi L.). Protoplasma 2023, 260, 1389–1405. [Google Scholar] [CrossRef]
  31. Moller, C.L.; Sand-Jensen, K. High sensitivity of Lobelia dortmanna to sediment oxygen depletion following organic enrichment. New Phytol. 2011, 190, 320–331. [Google Scholar] [CrossRef] [PubMed]
  32. Sou, H.D.; Masumori, M.; Ezaki, G.; Tange, T. Source of oxygen fed to adventitious roots of syzygium kunstleri (King) Bahadur and R.C. Gaur Grown in hypoxic conditions. Plants 2020, 9, 1433. [Google Scholar] [CrossRef] [PubMed]
  33. Pellegrini, E.; Konnerup, D.; Winkel, A.; Casolo, V.; Pedersen, O. Contrasting oxygen dynamics in Limonium narbonense and Sarcocornia fruticosa during partial and complete submergence. Funct. Plant Biol. 2017, 44, 867–876. [Google Scholar] [CrossRef] [PubMed]
  34. Winkel, A.; Colmer, T.D.; Ismail, A.M.; Pedersen, O. Internal aeration of paddy field rice (Oryza sativa) during complete submergence-importance of light and floodwater O2. New Phytol. 2013, 197, 1193–1203. [Google Scholar] [CrossRef] [PubMed]
  35. Yoshida, S.; Eguchi, H. Environmental analysis of aerial O2 transport through leaves for root respiration in relation to water uptake in cucumber plants (Cucumis sativus L.) in O2-deficient nutrient solution. J. Exp. Bot. 1994, 45, 187–192. [Google Scholar] [CrossRef]
  36. Wiengweera, A.; Greenway, H. Performance of seminal and nodal roots of wheat in stagnant solution: K+ and P uptake and effects of increasing O2 partial pressures around the shoot on nodal root elongation. J. Exp. Bot. 2004, 55, 2121–2129. [Google Scholar] [CrossRef] [PubMed]
  37. Colmer, T.D.; Greenway, H. Ion transport in seminal and adventitious roots of cereals during O2 deficiency. J. Exp. Bot. 2011, 62, 39–57. [Google Scholar] [CrossRef] [PubMed]
  38. Shabala, S.; Shabala, L.; Barcelo, J.; Poschenrieder, C. Membrane transporters mediating root signalling and adaptive responses to oxygen deprivation and soil flooding. Plant Cell Environ. 2014, 37, 2216–2233. [Google Scholar] [CrossRef]
  39. Kotula, L.; Clode, P.L.; Striker, G.G.; Pedersen, O.; Läuchli, A.; Shabala, S.; Colmer, T.D. Oxygen deficiency and salinity affect cell-specific ion concentrations in adventitious roots of barley (Hordeum vulgare). New Phytol. 2015, 208, 1114–1125. [Google Scholar] [CrossRef]
  40. Yamauchi, T.; Abe, F.; Tsutsumi, N.; Nakazono, M. Root Cortex Provides a Venue for Gas-Space Formation and Is Essential for Plant Adaptation to Waterlogging. Front. Plant Sci. 2019, 10, 259. [Google Scholar] [CrossRef]
  41. Drew, M.C. Oxygen Deficiency and Root Metabolism: Injury and Acclimation Under Hypoxia and Anoxia. Annu. Rev. Plant Physiol. Plant Mol. Biol. 1997, 48, 223–250. [Google Scholar] [CrossRef] [PubMed]
  42. Yamauchi, T.; Abe, F.; Kawaguchi, K.; Oyanagi, A.; Nakazono, M. Adventitious roots of wheat seedlings that emerge in oxygen-deficient conditions have increased root diameters with highly developed lysigenous aerenchyma. Plant Signal Behav. 2014, 9, e28506. [Google Scholar] [CrossRef] [PubMed]
  43. Soukup, A.; Armstrong, W.; Schreiber, L.; Franke, R.; Votrubová, O. Apoplastic barriers to radial oxygen loss and solute penetration: A chemical and functional comparison of the exodermis of two wetland species, Phragmites australis and Glyceria maxima. New Phytol. 2007, 173, 264–278. [Google Scholar] [CrossRef] [PubMed]
  44. Ogorek, L.L.P.; Jiménez, J.d.l.C.; Visser, E.J.W.; Takahashi, H.; Nakazono, M.; Shabala, S.; Pedersen, O. Outer apoplastic barriers in roots: Prospects for abiotic stress tolerance. Funct. Plant Biol. 2023. [Google Scholar] [CrossRef]
  45. Armstrong, W.; Beckett, P.M. Internal Aeration and Development of Stela Anoxia in Submerged Roots: A Multishelled Mathematical Model Combining Axial Diffusion of Oxygen in the Cortex 1ith Radial Losses to the Stele, the Wall Layers and the Rhizosphere. New Phytol. 1987, 105, 221–245. [Google Scholar] [CrossRef]
  46. Watanabe, K.; Takahashi, H.; Sato, S.; Nishiuchi, S.; Omori, F.; Malik, A.I.; Colmer, T.D.; Mano, Y.; Nakazono, M. A major locus involved in the formation of the radial oxygen loss barrier in adventitious roots of teosinte Zea nicaraguensis is located on the short-arm of chromosome 3. Plant Cell Environ. 2017, 40, 304–316. [Google Scholar] [CrossRef]
  47. Ejiri, M.; Sawazaki, Y.; Shiono, K. Some accessions of amazonian wild rice (Oryza glumaepatula) constitutively form a barrier to radial oxygen loss along adventitious roots under aerated conditions. Plants 2020, 9, 880. [Google Scholar] [CrossRef]
  48. Pedersen, O.; Sauter, M.; Colmer, T.D.; Nakazono, M. Regulation of root adaptive anatomical and morphological traits during low soil oxygen. New Phytologist 2021, 229, 42–49. [Google Scholar] [CrossRef]
  49. Yamauchi, T.; Pedersen, O.; Nakazono, M.; Tsutsumi, N. Key root traits of Poaceae for adaptation to soil water gradients. New Phytol. 2021, 229, 3133–3140. [Google Scholar] [CrossRef]
  50. Pedersen, O.; Nakayama, Y.; Yasue, H.; Kurokawa, Y.; Takahashi, H.; Floytrup, A.H.; Omori, F.; Mano, Y.; Colmer, T.D.; Nakazono, M. Lateral roots, in addition to adventitious roots, form a barrier to radial oxygen loss in Zea nicaraguensis and a chromosome segment introgression line in maize. New Phytol. 2021, 229, 94–105. [Google Scholar] [CrossRef]
  51. Gong, F.; Takahashi, H.; Omori, F.; Wang, W.; Mano, Y.; Nakazono, M. QTLs for constitutive aerenchyma from Zea nicaraguensis improve tolerance of maize to root-zone oxygen deficiency. J. Exp. Bot. 2019, 70, 6475–6487. [Google Scholar] [CrossRef] [PubMed]
  52. Matsuura, A.; Kato, Y.; Suzuki, T.; Murata, K.; An, P. Hypoxia tolerance of four millet species is attributable to constitutive aerenchyma formation and root hair development of adventitious roots. Plant Prod. Sci. 2022, 25, 157–171. [Google Scholar] [CrossRef]
  53. Armstrong, W.; Beckett, P.M.; Colmer, T.D.; Setter, T.L.; Greenway, H. Tolerance of roots to low oxygen: ‘Anoxic’ cores, the phytoglobin-nitric oxide cycle, and energy or oxygen sensing. J. Plant Physiol. 2019, 239, 92–108. [Google Scholar] [CrossRef] [PubMed]
  54. Yamauchi, T.; Noshita, K.; Tsutsumi, N. Climate-smart crops: Key root anatomical traits that confer flooding tolerance. Breed Sci. 2021, 71, 51–61. [Google Scholar] [CrossRef] [PubMed]
  55. Striker, G.G.; Insausti, P.; Grimoldi, A.A.; Vega, A.S. Trade-off between root porosity and mechanical strength in species with different types of aerenchyma. Plant Cell Environ. 2007, 30, 580–589. [Google Scholar] [CrossRef] [PubMed]
  56. Tada, Y.; Komatsubara, S.; Kurusu, T. Growth and physiological adaptation of whole plants and cultured cells from a halophyte turf grass under salt stress. AoB Plants 2014, 6, plu041. [Google Scholar] [CrossRef]
  57. Wiengweera, A.; Greenway, H.; Thomson, C.J. The use of agar nutrient solution to simulate lack of convection in waterlogged soils. Ann. Bot. 1997, 80, 115–123. [Google Scholar] [CrossRef]
  58. de la Cruz Jiménez, J.; Pellegrini, E.; Pedersen, O.; Nakazono, M. Radial oxygen loss from plant roots—Methods. Plants 2021, 10, 2322. [Google Scholar] [CrossRef]
  59. Kanda, Y. Investigation of the freely available easy-to-use software ‘EZR’ for medical statistics. Bone Marrow Transpl. 2013, 48, 452–458. [Google Scholar] [CrossRef]
Figure 1. Example pictures of data collection locations (A) and data (B) illustrating pO2 profiles within the root structures of Job’s tears (ae) and sorghum (fj). The positive distances were measured at the root tip (a,f), root base (b,g), root shoot junction (c,h), stem (d,i), and leaf (e,j). The yellow arrows in the pictures indicate the points where the sensor was inserted. These points represent the median of the data collected >30 s. In this context, “tip” refers to precisely 30 mm from the root tip, “base” indicates precisely 30 mm from the root base, and “junction” means precisely within 10 mm from the root base on the root shoot junction. Profiles on the leaf were conducted in the youngest expanded leaf. Profiles on the stem were conducted near the auricle of the youngest expanded leaf.
Figure 1. Example pictures of data collection locations (A) and data (B) illustrating pO2 profiles within the root structures of Job’s tears (ae) and sorghum (fj). The positive distances were measured at the root tip (a,f), root base (b,g), root shoot junction (c,h), stem (d,i), and leaf (e,j). The yellow arrows in the pictures indicate the points where the sensor was inserted. These points represent the median of the data collected >30 s. In this context, “tip” refers to precisely 30 mm from the root tip, “base” indicates precisely 30 mm from the root base, and “junction” means precisely within 10 mm from the root base on the root shoot junction. Profiles on the leaf were conducted in the youngest expanded leaf. Profiles on the stem were conducted near the auricle of the youngest expanded leaf.
Plants 13 00003 g001
Figure 2. Statistical comparisons of the pO2 levels in different tissues of Job’s tears and sorghum. (A) depicts the pO2 in the intercellular space. (B) illustrates the pO2 in the root stele. (C) presents the pO2 difference between the intercellular space and the root epidermis. The bars represent the standard error (S.E.). Significant differences in pO2 between Job’s tears and sorghum were assessed using a Student’s t-test and denoted by asterisks: * 0.01 ≦ p < 0.05; ** 0.001 ≦ p < 0.01; and *** p < 0.001.
Figure 2. Statistical comparisons of the pO2 levels in different tissues of Job’s tears and sorghum. (A) depicts the pO2 in the intercellular space. (B) illustrates the pO2 in the root stele. (C) presents the pO2 difference between the intercellular space and the root epidermis. The bars represent the standard error (S.E.). Significant differences in pO2 between Job’s tears and sorghum were assessed using a Student’s t-test and denoted by asterisks: * 0.01 ≦ p < 0.05; ** 0.001 ≦ p < 0.01; and *** p < 0.001.
Plants 13 00003 g002
Figure 3. Examples of root cross-section (A) and statistical comparisons of the root cross-section area (B) and the root cortex area to the stele area ratio (C) in the O2-profiled roots of Job’s tears and sorghum. The black bars in A represent 500 μm. The bars in B and C indicate the standard error (S.E.). The significance between Job’s tears and sorghum was assessed using Welch’s t-test and denoted by asterisks: * 0.01 ≦ p < 0.05, ** 0.001 ≦ p < 0.01; and *** p < 0.001.
Figure 3. Examples of root cross-section (A) and statistical comparisons of the root cross-section area (B) and the root cortex area to the stele area ratio (C) in the O2-profiled roots of Job’s tears and sorghum. The black bars in A represent 500 μm. The bars in B and C indicate the standard error (S.E.). The significance between Job’s tears and sorghum was assessed using Welch’s t-test and denoted by asterisks: * 0.01 ≦ p < 0.05, ** 0.001 ≦ p < 0.01; and *** p < 0.001.
Plants 13 00003 g003
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Tamaru, S.; Goto, K.; Sakagami, J.-I. Spatial O2 Profile in Coix lacryma-jobi and Sorghum bicolor along the Gas Diffusion Pathway under Waterlogging Conditions. Plants 2024, 13, 3. https://doi.org/10.3390/plants13010003

AMA Style

Tamaru S, Goto K, Sakagami J-I. Spatial O2 Profile in Coix lacryma-jobi and Sorghum bicolor along the Gas Diffusion Pathway under Waterlogging Conditions. Plants. 2024; 13(1):3. https://doi.org/10.3390/plants13010003

Chicago/Turabian Style

Tamaru, Shotaro, Keita Goto, and Jun-Ichi Sakagami. 2024. "Spatial O2 Profile in Coix lacryma-jobi and Sorghum bicolor along the Gas Diffusion Pathway under Waterlogging Conditions" Plants 13, no. 1: 3. https://doi.org/10.3390/plants13010003

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop