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Article

Expression Level of Transcription Factor ART1 Is Responsible for Differential Aluminum Tolerance in Indica Rice

1
State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China
2
University of Chinese Academy of Sciences, Beijing 100049, China
3
Institute of Plant Science and Resources, Okayama University, Chuo 2-20-1, Kurashiki 710-0046, Japan
*
Author to whom correspondence should be addressed.
Plants 2021, 10(4), 634; https://doi.org/10.3390/plants10040634
Submission received: 8 March 2021 / Revised: 23 March 2021 / Accepted: 23 March 2021 / Published: 26 March 2021
(This article belongs to the Special Issue Effects of Abiotic Stress on Plants 2020–2021)

Abstract

:
Rice is the most aluminum (Al)-tolerant species among the small grain cereals, but there are great variations in the Al tolerance between subspecies, with higher tolerance in japonica subspecies than indica subspecies. Here, we performed a screening of Al tolerance using 65 indica cultivars and found that there was also a large genotypic difference in Al tolerance among indica subspecies. Further characterization of two cultivars contrasting in Al tolerance showed that the expression level of ART1 (ALUMINUM RESISTANCE TRANSCRIPTION FACTOR 1) encoding a C2H2-type Zn-finger transcription factor, was higher in an Al-tolerant indica cultivar, Jinguoyin, than in an Al-sensitive indica cultivar, Kasalath. Furthermore, a dose-response experiment showed that ART1 expression was not induced by Al in both cultivars, but Jinguoyin always showed 5.9 to 11.4-fold higher expression compared with Kasalath, irrespectively of Al concentrations. Among genes regulated by ART1, 19 genes showed higher expression in Jinguoyin than in Kasalath. This is associated with less Al accumulation in the root tip cell wall in Jinguoyin. Sequence comparison of the 2-kb promoter region of ART1 revealed the extensive sequence polymorphism between two cultivars. Whole transcriptome analysis with RNA-seq revealed that more genes were up- and downregulated by Al in Kasalath than in Jinguoyin. Taken together, our results suggest that there is a large genotypic variation in Al tolerance in indica rice and that the different expression level of ART1 is responsible for the genotypic difference in the Al tolerance.

1. Introduction

The toxicity of aluminum ion (mainly Al3+) is a major limiting factor of crop production in acid soils, which comprises around 30–40% of arable land in the world [1]. Ionic Al rapidly inhibits root elongation and uptake of water and nutrients [2,3], resulting in increased sensitivity to environmental stresses and reduced crop yields [3]. However, there are great variations in Al tolerance between plant species and cultivars within a species [4,5].
Among small grain cereals such as rice, maize, wheat, barley, and sorghum, rice (Oryza sativa) showed the highest Al tolerance [5,6]. Studies mainly on japonica cultivars showed that high Al tolerance in rice is achieved by the pyramiding of multiple mechanisms conferred by multiple genes [4,5]. These genes are involved in both the external and internal detoxification of Al and are regulated by ART1 (ALUMINUM RESISTANCE TRANSCRIPTION FACTOR 1). ART1 is a C2H2-type zinc finger transcription factor [7], which regulates at least 32 genes by binding to the core cis-acting element [GGN(T/g/a/C)V(C/A/g)S(C/G)] in the promoter region of these genes [8]. Some of these downstream genes have been functionally characterized. For example, OsSTAR1 and OsSTAR2 (SENSITIVE TO ALUMINUM RHIZOTOXICITY 1 and 2) together encoded a bacterial-type ABC transporter transporting UDP-glucose, which may have modified the cell wall, resulting in decreased Al accumulation in the cell wall [9]. OsFRDL4 (FERRIC REDUCTASE DEFECTIVE LIKE 4) encoded a transporter responsible for the secretion of citrate from the roots to chelate Al in the rhizosphere in response to Al [10]. OsNrat1 (NRAMP ALUMINUM TRANSPOTOER 1) encoded a transporter located on a plasma membrane to take up trivalent Al into the cell [11], which was subsequently sequestered by OsALS1 (ALUMINUM SENSITIVE 1), a tonoplast-localized half-size ABC transporter [12]. Moreover, a plasma membrane-localized Mg transporter OsMGT1 (MAGNESIUM TRANSPORTER 1) was also required for Al-tolerance by increasing Mg uptake under Al-stressed conditions [13], and OsCDT3 (CADMIUM TOLERANT 3), a small cysteine-rich peptide with binding activity with Al, may have prevented Al from entering into the root cells [14]. The expression of ART1 was not induced by Al [7], but ART1-regulated genes were rapidly induced by Al in the roots [7]. The knockout of these ART1-regulated genes resulted in increased Al sensitivity with different extents. Recently, a homolog of ART1 and ART2 (ALUMINUM RESISTANCE TRANSCRIPTION FACTOR 2) was also reported to be involved in Al tolerance in rice, although its contribution to Al tolerance is smaller than that of ART1 [15].
On the other hand, there is also a wide variation of Al tolerance among different subpopulations of rice; the relative degree of Al tolerance follows the following order: temperate japonica > tropical japonica > aromatic > indica = aus [5]. Several studies showed that these differences in Al tolerance between rice subspecies are partially attributed to the differential expression of ART1-regulated genes. For example, the expression level of Nrat1 and OsFRDL4 was higher in japonica subspecies than in indica subspecies [16,17]. Furthermore, a 1.2-kb insertion in the promoter region of OsFRDL4 in japonica subspecies, but not in the indica or wild rice subspecies, was responsible for Al tolerance by enhancing the expression of OsFRDL4 [18]. In addition to the subspecies difference, there is also a genotypic difference in Al tolerance within the same subspecies [5]. However, the mechanisms responsible for the genotypic difference in Al tolerance are poorly understood, especially in the indica subspecies. In the present study, we first investigated the genotypic difference in indica subspecies by screening 65 cultivars from the world core collection. We selected two indica cultivars with contrasting Al tolerance for further physiological and molecular characterization and found that the expression level of ART1 is probably associated with genotypic differences in Al tolerance in indica subspecies.

2. Materials and Methods

2.1. Screening of Al Tolerance in Indica Cultivars

To compare Al tolerance in indica cultivars, we performed a screening using 65 indica cultivars selected from the world and Japan rice core collections (Supplementary Figure S1). The seeds were soaked in water at 30 °C for 2 days and then placed on a net floated on a 0.5 mM CaCl2 solution in a 20-L plastic container. After 3–4 days, the seedlings were exposed to a 0.5 mM CaCl2 solution (pH 4.5) with or without 50 μM Al. Before and after 24 h exposure, the root length was measured using a ruler. The relative root elongation was calculated as the following: root elongation with Al/root elongation without Al ×100. There were 5 to 10 replicates made for each cultivar.

2.2. Al Tolerance Evaluation in Hydroponic Solution

Based on the screening results, we selected two cultivars, Kasalath and Jinguoyin, for further analysis. We first compared their Al tolerance at different Al concentrations by exposing the 4-day-old seedlings to a 0.5 mM CaCl2 solution (pH 4.5) containing 0, 30, 50, and 100 μM Al in a 1.5-L container for 24 h. The root lengths were measured before and after the treatment, as described above, with 10 replicates. A time-course experiment was also conducted by exposing the 4-day-old seedlings to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al. At different time points, indicated in Figure 2, the root lengths were measured.

2.3. Growth Test in Acid and Neutral Soils

For the soil test, seeds of both Kasalath and Jinguoyin were surface-sterilized for 30 min in a 10% (v/v) H2O2 solution, washed thoroughly with deionized water, soaked in deionized water at 30 °C overnight, and germinated in darkness for 2 days. The germinated seeds were transferred to acid soil (Quaternary red clay soil, 0–20 cm, pH 4.3, which was collected from a pine forest area in Yingtan, Jiangxi, China) or neutral soil (pH 7.0), amended with CaCO3 at 8.0 g (kg soil)−1. Pictures were taken after 4 days, and the root lengths were measured with a ruler.

2.4. Determination of Al Accumulation in the Roots

For the determination of Al content in the root tips, the 4-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 50 μM Al for 24 h. After the roots were washed with 0.5 mM CaCl2 three times, the root segments (0–1 cm from the root tip) were excised and placed in a 1.5 mL plastic tube containing 1 mL of 2 N HCl for at least 24 h with occasional vortex. For the collection of the root cell sap, the excised root segments were placed on a filter in a tube and frozen at −80 ℃ overnight. After rapid thawing at room temperature, the cell sap was collected by centrifugation at 20,600 g for 10 min. The pellet was washed three times (5 min for each washing) with 70% ethanol to remove membrane fractions, and then the Al in the cell wall fraction was extracted using 2 M HCl. The Al concentration in the extraction solution was determined by Inductively coupled plasma mass spectrometry using an Agilent 7700 mass spectrometer (Palo Alto, Santa Clara, CA, USA). Three replicates were made for each treatment.

2.5. RNA Sequencing Analysis

For RNA-seq analysis, 4-day-old seedlings of the Kasalath and Jinguoyin were exposed to 0 or 50 μM Al in a 0.5 mM CaCl2 solution (pH4.5). After 6 h, the root tips (0–1 cm) were excised with a razor, with four replicates, and immediately frozen in liquid nitrogen. The RNA was extracted using the TIANGEN TGuide Plant RNA Kit (Beijing, China). After RNA quantification and qualification, a total amount of 1 μg RNA per sample was used as the input material for library construction. The sequencing libraries were generated using NEBNext UltraTM RNA Library Prep Kit for Illumina (Ipswich, UK), following the manufacturer’s recommendations, and index codes were added to attribute sequences to each sample. Then the cDNA libraries were subjected to paired-end sequencing using an Illumina HiSeq 2500 system (San Diego, CA, USA). The raw sequencing data were filtered using a Fastx toolkit (v 0.0.14–1) to get high-quality clean data, which was then mapped to the reference Nipponbare rice genome (http://rice.plantbiology.msu.edu) using Hisat2 (Version 2.1.0) [19]. A transcript assembly, a calculation of the normalized transcript abundance (reads per kilobase million), was performed using StringTie (v2.0.4) [20]. Differential expression analysis of two conditions/groups was performed using the DEseq2 (Version 1.42.0) [21]. Genes with an adjusted p-value < 0.05 and a fold change ≥2 were assigned as differentially expressed. Gene Ontology (GO) enrichment analysis of the differentially expressed genes (DEGs) was implemented by the GOseq R packages (Version 1.42.0) [22] based on Wallenius non-central hyper-geometric distribution. The KOBAS software (Version 3.0.3) [23] was used to test the statistical enrichment of the DEGs in the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways.

2.6. Quantitative Real-Time PCR (qRT-PCR) Analysis

To investigate gene expression, 4-day-old seedlings of Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al for 24 h, then root tips (0–1 cm) were excised and frozen in liquid nitrogen immediately. For a dose-response experiment on ART1 expression, 4-day-old seedlings of Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0, 30, 50, and 100 μM Al for 24 h. The RNA was extracted as described before and converted to cDNA using the Takara PrimeScript RT reagent kit (Kyoto, Japan) following the manufacturer’s instructions. For quantitative real-time PCR analysis, 1 µL 10-fold-diluted cDNA was used for the quantitative analysis of gene expression performed with a Takara SYBR Premix ExTaq (Kyoto, Japan), with the pairs of gene-specific primers. All primer sequences employed for the qRT-PCR have been listed in Supplementary Table S1. Histone H3 was used as an internal control. The relative gene expression levels were calculated by the comparative Ct method. Three independent biological replicates were made for each treatment.

2.7. Sequence Comparison of the Promoter and Coding Sequence Regions of ART1

The genome DNA was isolated using the hexadecyl trimethyl ammonium bromide (CATB) method from fresh leaves of Kasalath and Jinguoyin. Then, sequencing libraries were generated using a RsaIof restriction enzyme and subjected to paired-end sequencing using an Illumina HiSeq 2500 system (San Diego, CA, USA). The raw sequencing data were filtered using a Fastx toolkit to get high-quality clean data, which was then mapped to the reference Nipponbare rice genome (http://rice.plantbiology.msu.edu) using BWA-MEM (0.7.10-r789) [24]. Variant calling was conducted using GATK Tools (version 3.6) [25]. The sequence differences in the promoter and coding region of ART1 were listed.

2.8. Statistical Analysis

Student’s t-test and Tukey’s test were applied to test differences among treatments at p-values < 0.05.

3. Results

3.1. Screening of Al Tolerance in Indica Cultivars

To evaluate Al tolerance in 65 indica cultivars, we compared the relative root elongation (RRE) under Al stress conditions. The RRE ranged from 15.9% to 74.6%, indicating that there was a genotypic difference in Al tolerance in indica subspecies (Supplementary Figure S1). For further physiological and molecular analysis, we selected Jinguoyin and Kasalath, which showed similar root growth under −Al conditions, but contrasted in Al tolerance (Supplementary Figure S1).

3.2. Al Tolerance Test of Two Indica Cultivars

A dose-response experiment showed that the root elongation was inhibited by Al more in Kasalath than in Jinguoyin at all Al concentrations tested (Figure 1). The RRE of Kasalath was 71.6%, 80.7%, and 86.3%, respectively, after exposure to 30, 50, and 100 μM Al for 24 h, whereas that of Jinguoyin was 62.1%, 62.6%, and 72.2%, respectively (Figure 1b). In the time-course experiment, there was no difference in Al-inhibited root elongation between Jinguoyin and Kasalath at 3 h after Al exposure (Figure 2a). However, at 6 h and thereafter, the RRE was significantly higher in Jinguoyin than in Kasalath (Figure 2b). These results indicate that Jinguoyin was more tolerant to Al than Kasalath, supporting our screening results (Supplementary Figure S1).
To confirm the Al tolerance in two cultivars, the root growth was also compared when grown in acid soil and neutral soil. In neutral soil (pH 7.0), the root growths of Kasalath and Jinguoyin were similar (Figure 3). However, in acid soil (pH 4.3), the root growth of Kasalath was largely inhibited compared with that in neutral soil, while the root growth of Jinguoyin was hardly affected (Figure 3). Consistently, the root length of Jinguoyin was longer than Kasalath in acid soil, while no difference was observed in neutral soil (Figure 3). These results confirm that Jinguoyin is an Al-tolerant indica cultivar, while Kasalath is an Al-sensitive indica cultivar.

3.3. Al Accumulation in the Root Tips

We compared Al accumulation in the root tips (0–1 cm from the apex), in the root cell wall, and root cell sap between two cultivars. The total Al content in the root tip showed no difference between Kasalath and Jinguoyin (Figure 4a). However, Kasalath accumulated significantly higher levels of Al in the cell wall, but lower levels of Al in the cell sap than Jinguoyin in the root tips (Figure 4b,c). These results indicate that the Al partition between the cell wall and inside the cells in the root tips differed between Kasalath and Jinguoyin.

3.4. Differentially Expressed Genes (DEGs) between Kasalath and Jinguoyin

To identify the candidate genes contributing to high Al tolerance in Jinguoyin, we compared the transcriptomic profiles of genes in the root tips between Kasalath and Jinguoyin by RNA sequencing. The RNA sequencing analysis showed that 3013 and 2249 genes, including 1612 common genes (greater than twofold), were upregulated by Al in Kasalath and Jinguoyin, respectively, after exposure to Al for 6 h (Figure 5a). On the other hand, 1807 and 964 genes, including 634 common genes (higher than twofold), were downregulated by Al in Kasalath and Jinguoyin, respectively (Figure 5b).

3.5. Verification of RNA-seq Results by Quantitative Real-Time PCR

To validate the reliability of the RNA sequencing data, we randomly selected 17 genes for the quantitative real-time PCR (qRT-PCR) analysis. There was a good correlation (r = 0.92) between the RNA-seq data and the qRT-PCR results (Supplementary Figure S2).

3.6. GO and KEGG Pathway Enrichment Analysis

Among the up- and downregulated genes, we performed GO and KEGG pathway enrichment analysis using genes differentially expressed in Jinguoyin and Kasalath. Among 637 up-regulated DEGs in Jinguoyin, “response to nitrate”, “protein serine/threonine kinase activity”, and “apoplast” were the most enriched GO terms, while “response to chitin”, “response to water deprivation”, and “response to salt stress” were the most enriched GO terms in the 1401 upregulated DEGs of Kasalath (Figure 6a,b). There were no significantly enriched KEGG pathways in the upregulated DEGs in Jinguoyin, while “plant hormone signal transduction” was the only significantly enriched KEGG pathway in the upregulated genes of Kasalath (Figure 6e,f).
Among the 1173 downregulated DEGs in Kasalath, “peroxidase activity”, “plant-type cell wall organization”, and “sterol biosynthetic process” are the most enriched GO terms, while “xyloglucan metabolic process”, “galactoside 2-alpha-L-fucosyltransferase activity”, and “xylan catabolic process” were the most enriched GO terms in the 330 up-regulated DEGs of Jinguoyin (Figure 6c,d). In addition, “ribosome” was a uniquely enriched KEGG pathway in the downregulated DEGs of Kasalath, while there were no significantly enriched KEGG pathways in the upregulated DEGs in Jinguoyin (Figure 6g,h). Impaired function of “peroxidase activity” and “ribosome” may be the cause of low Al tolerance in Kasalath.

3.7. Expression Profile of ART1-Regulated Genes in Kasalath and Jinguoyin

Since ART1 is a key regulator of Al tolerance in japonica cultivars, we extracted the expression profile of ART1-regulated genes from RNA-seq data. Among the 32 genes regulated by ART1 [8,16], 23 genes were upregulated by Al in both Kasalath and Jinguoyin (Table 1), but 18 genes were upregulated more in Jinguoyin than in Kasalath. These results were confirmed by qRT-PCR for some ART1-regulated genes, including OsSTAR1, OsSTAR2, OsCDT3, OsNrat1, OsALS1, OsMGT1, OsFRDL2, and OsFRDL4 (Figure 7a–h).
We then compared the expression of ART1 in two cultivars. As a result, the expression level of ART1 was higher in Jinguoyin than in Kasalath, both in the absence and presence of Al (Figure 8a). Furthermore, the dose-response experiment showed that the ART1 expression was constitutively higher in Jinguoyin than in Kasalath independent of Al concentrations (Figure 8a). On the other hand, no difference in the ART2 expression was found (Figure 8b).

3.8. Sequence Comparison of Promoter and Coding Sequence Region of ART1

To investigate the mechanism for different expression levels of ART1 between Kasalath and Jinguoyin, we compared the sequence of the promoter (2.0 kb) and coding sequencing region of ART1. The results showed that compared to the japonica rice reference genome (Nipponbare), the promoter and coding sequence region of Jinguoyin was exactly the same as Nipponbare (Supplementary Figure S3). However, there were 14 single nucleotide polymorphisms (SNPs) and 3 insertion-deletions (Indels) in the promoter (Supplementary Figure S3a), and 10 SNPs and 3 Indels in the coding sequence region of Kasalath compared with Jinguoyin (Supplementary Figure S3b).

4. Discussion

There are two major subspecies in rice, including japonica rice and indica rice. Indica rice is usually cultivated in tropics and subtropics, where acid soils are widely distributed. However, its tolerance to Al toxicity is generally lower than japonica rice [5]. In the present study, we found that there was also a wide genotypic difference in Al tolerance in indica rice based on the screening of 65 indica cultivars from the world and Japan rice core collections (Supplementary Figure S1). Further characterization of two indica cultivars contrasting in Al tolerance suggests that the expression level of ART1 is responsible for the genotypic difference in Al tolerance.
ART1 is a key transcription factor for Al resistance identified in rice [7]. It regulates at least 32 genes involved in detoxifying Al both externally and internally [7,9,10,11,12,13,14,18]. The expression level of ART1 in Al-tolerant Jinguoyin was 5.9 to 11.4-fold higher than in Al-sensitive Kasalath, independently of Al concentrations (Fig. 8a). This higher expression of ART1 in Jinguoyin resulted in the enhanced expression of downstream genes, including OsSTAR1, OsSTAR2, OsCDT3, OsNrat1, OsALS1, OsMGT1, OsFRDL2, and OsFRDL4 (Table 1, Figure 7), subsequently contributing to higher Al tolerance in Jinguoyin. This is partially supported by the analysis of the cell wall Al. Al binding to the cell wall decreases the plasticity and inhibits root elongation [26]. Al-tolerant Jinguoyin showed less Al accumulation in the cell wall of the root tip compared with Kasalath (Figure 4). This may be attributed to the higher Nrat1 expression in Jinguoyin (Figure 7d). Nrat1 is a plasma-localized transporter for Al3+, which is required for further sequestration of Al into the vacuoles by OsALS1 [11,12]. The knockout of this gene also resulted in increased Al accumulation in the root cell wall [11]. Although the mechanism responsible for higher ART1 expression in Jinguoyin is unknown, the difference in the sequence of the ART1 promoter may be involved in regulating ART1 expression (Supplementary Material, Figure S3).
Previously, ART1 was identified as a gene responsible for the QTL Alt2.1 on chromosome 12 in a population derived from a cross between Azucena (Al-tolerant, japonica rice) and IR64 (Al-sensitive, indica rice) [27]. This explains a large proportion (>19%) of the variation in Al tolerance. However, different from our study, there was no difference in the expression level of ART1 in the two cultivars [20]. The sequence polymorphism in the coding region may be responsible for a different Al response through affecting protein folding and interactions with the target gene promoter. It was reported that compared to Al-sensitive rice IR 1552, Al-tolerant rice ARR09 contained an SNP in the coding sequence region of OsNrat1 [28]. In addition to the regulation of ART1 itself, several reports also showed that cis-element numbers were altered in the promoter region of downstream genes of ART1. For example, a higher Al tolerance in Holcus lanatus is achieved by increased numbers of cis-acting elements regulating the expression of ALMT1 involved in the Al-induced secretion of malate [29]. A 1.2 kb re-transposon insertion in the promoter region of OsFRDL4 increased cis-acting element numbers, resulting in a higher expression of OsFRDL4 [18]. These findings indicate that the regulation mechanism of Al-tolerance differs with plant species and cultivars at a transcriptional level.
Recently, ART2, a homolog of ART1, was also involved in Al tolerance in rice [15]. Unlike ART1, the expression of ART2 was induced by Al. In the present study, we found that the expression of ART2 was induced by Al in both cultivars (Figure 8b). However, there was no difference in the expression level between the two cultivars, indicating that ART2 is not involved in differential Al tolerance between Jinguoyin and Kasalath.
Transcriptome analysis revealed that more genes were up- and downregulated by Al in Al-sensitive Kasalath compared with Al-tolerant Jinguoyin (Figure 5). This may be attributed to the higher Al sensitivity of Kasalath, resulting in the induction of more genes caused by Al toxicity. GO enrichment analysis showed that these genes have different biological functions (Figure 6a–h). For example, “peroxidase activity” was one of the most enriched GO terms in the downregulated DEGs in Kasalath, as Al can cause oxidative stress, and therefore, impaired peroxidase activity reduced its adaptability to Al stress. However, it remains to be investigated whether these DEGs are also involved in differential Al tolerance in addition to ART1 expression in indica rice.
In conclusion, we found a large genotypic difference in Al tolerance in indica rice. Furthermore, we found that the different expression of ART1 may be responsible for the genotypic Al tolerance in indica rice.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/plants10040634/s1. Additional Supplementary Information may be found in the online version of this article. Supplementary Figure S1. Al tolerance of 65 indica rice varieties. Supplementary Figure S2. Correlation of the gene expression ratio between RNA-seq data and quantitative real-time PCR (qRT-PCR) results. Supplementary Figure S3. Sequence comparison of the promoter (a) and coding sequence (CDS) regions (b) of ART1 between Kasalath and Jinguoyin. Supplementary Table S1 Primer sequences used for investigating gene expression.

Author Contributions

Conceptualization, J.F.M. and R.F.S.; investigation, L.M.S., J.C. and J.F.M.; data curation, L.M.S., J.C. and J.F.M.; writing—original draft preparation, L.M.S., J.C. and J.F.M.; writing—review and editing, L.M.S., J.C. and J.F.M.; visualization, L.M.S. and J.C.; supervision, J.F.M. and R.F.S.; funding acquisition, R.F.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (No. 42020104004) and the Knowledge Innovation Program of the Chinese Academy of Sciences (No. Y425100201).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The RNA-seq data is available on the Sequence Read Archive (SRA) of the NCBI with Accession ID PRJNA715939.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Al-dependent root elongation in two indica rice cultivars. (a) Absolute root elongation; (b) relative root elongation (RRE). Four-day-old seedlings of both Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0, 30, 50, or 100 μM Al for 24 h. Root lengths were measured with a ruler before and after treatment and RRE was calculated as the ratio of root elongation with Al to root elongation without Al. Data are mean ± SD (n = 10). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at each Al concentration at p-values <0.05 by the Student’s t-test.
Figure 1. Al-dependent root elongation in two indica rice cultivars. (a) Absolute root elongation; (b) relative root elongation (RRE). Four-day-old seedlings of both Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0, 30, 50, or 100 μM Al for 24 h. Root lengths were measured with a ruler before and after treatment and RRE was calculated as the ratio of root elongation with Al to root elongation without Al. Data are mean ± SD (n = 10). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at each Al concentration at p-values <0.05 by the Student’s t-test.
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Figure 2. Time-dependent root elongation in two indica rice cultivars with and without Al. Absolute root elongation (a); relative root elongation (b). Four-day-old seedlings of both Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al for up to 24 h. Root lengths were measured with a ruler at different time points. Data are mean ± SD (n = 10). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin in the presence of Al at each time point at p-values <0.05 by the Student’s t-test.
Figure 2. Time-dependent root elongation in two indica rice cultivars with and without Al. Absolute root elongation (a); relative root elongation (b). Four-day-old seedlings of both Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al for up to 24 h. Root lengths were measured with a ruler at different time points. Data are mean ± SD (n = 10). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin in the presence of Al at each time point at p-values <0.05 by the Student’s t-test.
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Figure 3. Root growth in acid and neutral soils. Root growth phenotype of two cultivars grown in acid and neutral soil (a); root length (b). Germinated seeds of Kasalath and Jinguoyin were sowed in acid soil with a pH of 4.3, or neutral soil with a pH of 7.0, and grown for 4 d. Neutral soil is modified from acid soil by amending it with CaCO3 at 8.0 g (kg soil)−1. Data are mean ± SD (n = 5). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at p-values of <0.05 by the Student’s t-test.
Figure 3. Root growth in acid and neutral soils. Root growth phenotype of two cultivars grown in acid and neutral soil (a); root length (b). Germinated seeds of Kasalath and Jinguoyin were sowed in acid soil with a pH of 4.3, or neutral soil with a pH of 7.0, and grown for 4 d. Neutral soil is modified from acid soil by amending it with CaCO3 at 8.0 g (kg soil)−1. Data are mean ± SD (n = 5). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at p-values of <0.05 by the Student’s t-test.
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Figure 4. Al accumulation in the root tips. (a) Root tip cell wall Al content; (b) root tip cell sap Al concentration, and (c) total root tip Al content of two indica cultivars. Four-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 50 μM Al for 24 h. Then, the root tips (0–1 cm) were excised and the cell wall and cell sap were fractioned. Al concentration was determined by Inductively coupled plasma mass spectrometry. Data are mean ± SD (n = 3). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at p-values of <0.05 by the Student’s t-test.
Figure 4. Al accumulation in the root tips. (a) Root tip cell wall Al content; (b) root tip cell sap Al concentration, and (c) total root tip Al content of two indica cultivars. Four-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 50 μM Al for 24 h. Then, the root tips (0–1 cm) were excised and the cell wall and cell sap were fractioned. Al concentration was determined by Inductively coupled plasma mass spectrometry. Data are mean ± SD (n = 3). Asterisks (*) indicate significant differences between Kasalath and Jinguoyin at p-values of <0.05 by the Student’s t-test.
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Figure 5. Numbers of differential expressed genes induced by Al. Genes up- (a) and downregulated (b) by Al in Kasalath and Jinguoyin. Four-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al. After 6 h, the root tips (0–1 cm) were excited and subjected to RNA-seq analysis. Genes where the expression is significantly higher than two folds are shown (adjusted p-value of <0.05).
Figure 5. Numbers of differential expressed genes induced by Al. Genes up- (a) and downregulated (b) by Al in Kasalath and Jinguoyin. Four-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al. After 6 h, the root tips (0–1 cm) were excited and subjected to RNA-seq analysis. Genes where the expression is significantly higher than two folds are shown (adjusted p-value of <0.05).
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Figure 6. Functional analysis of differential expressed genes induced by Al in two indica rice cultivars. Gene Ontology (GO) enrichment analysis (ad); Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (eh) of uniquely upregulated genes (a,b,e,f) and downregulated (c,d,g,h) genes in Kasalath (a,c,e,g) and Jinguoyin (b,d,f,h). The 20 most enriched GO terms with the lowest p-values are listed.
Figure 6. Functional analysis of differential expressed genes induced by Al in two indica rice cultivars. Gene Ontology (GO) enrichment analysis (ad); Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis (eh) of uniquely upregulated genes (a,b,e,f) and downregulated (c,d,g,h) genes in Kasalath (a,c,e,g) and Jinguoyin (b,d,f,h). The 20 most enriched GO terms with the lowest p-values are listed.
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Figure 7. Gene expression pattern analysis of ART1-regulated genes in two indica rice cultivars. The expression level of OsSTAR1 (a), OsSTAR2 (b), OsCDT3 (c), OsNrat1 (d), OsALS1 (e), OsMGT1 (f), OsFRDL2 (g), and OsFRDL4 (h) was determined by quantitative RT-PCR. Histone H3 was used as an internal standard. Expression level relative to Kasalath root (−Al) is shown. Seedlings of Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al for 24 h. Data are mean ± SD (n = 3). Different letters indicate significant differences at a p-value <0.05 by Tukey’s test.
Figure 7. Gene expression pattern analysis of ART1-regulated genes in two indica rice cultivars. The expression level of OsSTAR1 (a), OsSTAR2 (b), OsCDT3 (c), OsNrat1 (d), OsALS1 (e), OsMGT1 (f), OsFRDL2 (g), and OsFRDL4 (h) was determined by quantitative RT-PCR. Histone H3 was used as an internal standard. Expression level relative to Kasalath root (−Al) is shown. Seedlings of Kasalath and Jinguoyin were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0 or 50 μM Al for 24 h. Data are mean ± SD (n = 3). Different letters indicate significant differences at a p-value <0.05 by Tukey’s test.
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Figure 8. Dose-dependent expression of ART1 (a) and ART2 (b) in rice roots of Kasalath and Jinguoyin. 4-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0, 30, 50, and 100 μM Al for 24 h. Data are mean ± SD (n = 3). Different letters indicate significant differences between different treatments in Kasalath and Jinguoyin at p-values <0.05 by Tukey’s test.
Figure 8. Dose-dependent expression of ART1 (a) and ART2 (b) in rice roots of Kasalath and Jinguoyin. 4-day-old seedlings were exposed to a 0.5 mM CaCl2 (pH 4.5) solution containing 0, 30, 50, and 100 μM Al for 24 h. Data are mean ± SD (n = 3). Different letters indicate significant differences between different treatments in Kasalath and Jinguoyin at p-values <0.05 by Tukey’s test.
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Table 1. Expression changes of ART1-regulated genes in the root tips of Kasalath and Jinguoyin. RNA sequencing was performed with Kasalath and Jinguoyin exposed to 50 µM AlCl3 for 6 h with four replicates.
Table 1. Expression changes of ART1-regulated genes in the root tips of Kasalath and Jinguoyin. RNA sequencing was performed with Kasalath and Jinguoyin exposed to 50 µM AlCl3 for 6 h with four replicates.
RAPDB IDKasalathJinguoyinDescription
Fold ChangeQ ValueSignificantFold ChangeQ ValueSignificant
(+Al/−Al)(+Al/−Al)
Os01g017830022.56 0.00 yes40.18 0.00 yesOsCDT3
Os01g06521001.84 0.00 no1.57 0.00 noProtein of unknown function DUF231 domain-containing protein
Os01g07165004.01 0.00 yes6.21 0.00 yesMethyltransferase type 12 domain-containing protein
Os01g073160037.58 0.00 yes10.97 0.00 yesSimilar to pathogen-related protein
Os01g07663007.27 0.02 yes13.98 0.00 yesConserved hypothetical protein
Os01g08605007.15 0.00 yes1.51 0.00 noChitinase
Os01g08692002.42 0.00 yes5.64 0.00 yesOsMGT1
Os01g0919100712.05 0.00 yes369.73 0.00 yesOsFRDL4
Os01g091920038.08 0.00 yes25.89 0.00 yesBacterial transferase hexapeptide repeat domain-containing protein
Os02g01318003.91 0.00 yes5.67 0.00 yesOsNramp4/OsNrat1
Os02g018680021.19 0.00 yes18.89 0.00 yesCytochrome P450 family protein
Os02g07559006.29 0.00 yes11.63 0.00 yesUDP-glucuronosyl/UDP-glucosyltransferase domain-containing protein
Os02g077080032.18 0.00 yes27.40 0.00 yesNADH/NADPH-dependent nitrate reductase
Os03g01269003.42 0.00 yes6.21 0.00 yesConserved hypothetical protein
Os03g0304100inf0.05 no23.84 0.07 noConserved hypothetical protein
Os03g07551003.61 0.00 yes4.89 0.00 yesOsALS1
Os03g07608005.48 0.00 yes15.68 0.00 yesA member of the GAST (gibberellin (GA)-Stimulated Transcript) family
Os04g04949004.94 0.00 yes13.39 0.00 yesSimilar to Unidentified precursor
Os04g05835001.66 0.00 no1.58 0.00 noOsEXPA10
Os05g011900014.14 0.11 no0.40 0.64 noOsSTAR2
Os06g069580010.46 0.00 yes8.93 0.00 yesOsSTAR1
Os07g04931005.28 0.00 yes12.71 0.00 yesHypothetical protein
Os07g058730015.14 0.00 yes21.31 0.00 yesHypothetical protein
Os09g04268000.82 0.36 no2.11 0.00 yesHomologue of WAX2/GL1, Synthesis of leaf cuticular wax
Os09g04799001.48 0.07 no2.71 0.00 yesSimilar to Subtilisin-like protease
Os10g02068004.37 0.00 yes6.00 0.00 yesOsFRDL2
Os10g05246001.59 0.00 no4.40 0.00 yesPeptidase S8, subtilisin-related domain-containing protein
Os10g05788004.50 0.00 yes8.03 0.00 yesSimilar to LrgB-like family protein
Os11g04901002.88 0.00 yes2.41 0.00 yesProtein of unknown function DUF579, plant family protein
Os12g02274009.44 0.00 yes22.18 0.00 yesAllyl alcohol dehydrogenase
Os04g04191006.34 0.00 yes6.01 0.00 yesConserved hypothetical protein
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Sun, L.M.; Che, J.; Ma, J.F.; Shen, R.F. Expression Level of Transcription Factor ART1 Is Responsible for Differential Aluminum Tolerance in Indica Rice. Plants 2021, 10, 634. https://doi.org/10.3390/plants10040634

AMA Style

Sun LM, Che J, Ma JF, Shen RF. Expression Level of Transcription Factor ART1 Is Responsible for Differential Aluminum Tolerance in Indica Rice. Plants. 2021; 10(4):634. https://doi.org/10.3390/plants10040634

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Sun, Li Ming, Jing Che, Jian Feng Ma, and Ren Fang Shen. 2021. "Expression Level of Transcription Factor ART1 Is Responsible for Differential Aluminum Tolerance in Indica Rice" Plants 10, no. 4: 634. https://doi.org/10.3390/plants10040634

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