Literature DB >> 23110212

Comparative genome-wide transcriptional analysis of Al-responsive genes reveals novel Al tolerance mechanisms in rice.

Tomokazu Tsutsui1, Naoki Yamaji, Chao Feng Huang, Ritsuko Motoyama, Yoshiaki Nagamura, Jian Feng Ma.   

Abstract

Rice (Oryza sativa) is the most aluminum (Al)-tolerant crop among small-grain cereals, but the mechanism underlying its high Al resistance is still not well understood. To understand the mechanisms underlying high Al-tolerance, we performed a comparative genome-wide transcriptional analysis by comparing expression profiling between the Al-tolerance cultivar (Koshihikari) and an Al-sensitive mutant star1 (SENSITIVE TO AL RHIZOTOXICITY 1) in both the root tips and the basal roots. Exposure to 20 µM AlCl(3) for 6 h resulted in up-regulation (higher than 3-fold) of 213 and 2015 genes including 185 common genes in the root tips of wild-type and the mutant, respectively. On the other hand, in the basal root, genes up-regulated by Al were 126 and 2419 including 76 common genes in the wild-type and the mutant, respectively. These results indicate that Al-response genes are not only restricted to the root tips, but also in the basal root region. Analysis with genes up- or down-regulated only in the wild-type reveals that there are other mechanisms for Al-tolerance except for a known transcription factor ART1-regulated one in rice. These mechanisms are related to nitrogen assimilation, secondary metabolite synthesis, cell-wall synthesis and ethylene synthesis. Although the exact roles of these putative tolerance genes remain to be examined, our data provide a platform for further work on Al-tolerance in rice.

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Year:  2012        PMID: 23110212      PMCID: PMC3482186          DOI: 10.1371/journal.pone.0048197

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Aluminum (Al) toxicity is a major factor limiting crop production on acid soils, which comprise approximately 40% of the world’s arable soils and up to 70% of potentially arable land [1]. At soil pH below 5.0, toxic forms of Al (mainly Al3+) are solubilized into the soil solution, which inhibit root growth and function, consequently reducing crop yields [2], [3]. However, there is a great variation for the ability to withstand Al-toxicity between plant species and cultivars within a species. To survive on acidic soils, some plant species or cultivars have evolved mechanisms to tolerate high levels of toxic Al. Many mechanisms for both Al-tolerance and -toxicity have been proposed [3]. Rice (Oryza sativa) is the most Al-tolerant crop among small-grain cereals [4]. A number of quantitative trait loci (QTLs) for Al-tolerance have been identified in rice by using different populations [5], but responsible QTL genes have not been isolated. Recently, through genome-wide association analysis and QTL mapping, 48 loci associated with Al3+ tolerance have been identified [6] in rice. On the other hand, mutant approaches have revealed an ART1-regualted Al-tolerance mechanism in rice [7]. ART1 (AL3+ RESISTANCE TRANSCRIPTION FACTOR 1) is a Cys2His2-type zinc-finger transcription factor [8]. ART1 is constitutively expressed in the roots and its expression is not induced by Al3+ treatment. ART1 regulates the expression of at least 31 genes with a cis-element [GGN(T/g/a/C)V(C/A/g)S(C/G)] (ART1-binding affinity of nucleotides with small characters is weaker than those with large characters) [9]. Among them, only six genes have been functionally characterized. OsSTAR1 and OsSTAR2 () encode a ATP-binding domain and a transmembrane domain, respectively, of a bacterial-type ATP binding cassette (ABC) transporter, which transports UDP-glucose [10]. The complex is implicated in cell wall modification [10]. OsFRDL4 () encodes a citrate transporter, which secretes citrate from the roots to chelate Al in the rhizosphere [11]. On the other hand, OsNrat1 () encodes an Al transporter localized at the plasma membrane, which transports Al into the cells [12], while OsALS1 () encodes a tonoplast-localized transporter for Al, which sequestrates Al into the vacuoles [13]. Recently, up-regulation of a Mg transporter, OsMGT1 (MAGNESIUM TRANSPORTER 1), is reported to be required for conferring Al-tolerance in rice [14]. All of these genes are specifically induced by Al and knockout of either gene results in decreased Al-tolerance, indicating their important roles in Al-tolerance. However, the mechanisms underlying high Al-tolerance in rice are not fully understood at the molecular level. In the present study, we performed a genome-wide transcriptional analysis of Al-responsive genes in rice. By comparing transcriptional profiling between a wild-type rice and an Al-sensitive rice mutant star1, we found that rice possesses novel mechanisms of Al-tolerance in addition to ART1-regulated mechanism in rice.

Materials and Methods

Plant Materials and Growth Conditions

Seeds of wild-type rice (Oryza sativa cv. Koshihikari) and an Al-sensitive mutant, star1 [10], were germinated for 2 days at 30°C. The seedlings were then transferred to a plastic net floating on a 0.5 mM CaCl2 solution in a 1.5 L plastic box. At day 4, the seedlings were exposed to a 0.5 mM CaCl2 solution (pH 4.5) containing 0 or 20 µM AlCl3. Root length was measured with a ruler before and after 6 h treatments. Ten seedlings were used for each treatment.

Al-induced inhibition of root elongation.

Seedlings (6-d-old) of both wild-type rice (WT) and an Al-sensitive mutant (star1) were exposed to a 0.5 mM CaCl2 solution (pH 4.5) containing 0, 20 µM Al for 6 h. The root length was measured with a ruler before and after Al treatment. Error bars represent ± SD (n = 10). Different letters indicate significant differences at P<0.05 by Tukey’s Honestly Significantly Different test.

Correlation of gene expression ratio between microarray data and quantatitive RT-PCR data.

Twelve genes randomly selected were subjected to quantitative real-time PCR analysis. OsHistone H3 was used as an internal standard. Microarray data (fold change of gene expression) were plotted against data (fold change of gene expression) from quantitative real-time PCR. Both x- and y-axes are shown in log2 scale. r indicates correlation coefficient.

RNA Isolation, Microarray and Data Analysis

Root tips (0–1 cm) and basal region (1–2 cm) of the roots (20–30 plants per sample) were excised from the seedlings of both wild-type rice and star1 mutant which had been exposed to 20 µM AlCl3 for 6 h and immediately frozen in liquid nitrogen. Total RNA was isolated using the RNeasy Plant Mini Kit (Qiagen, Germany). The RNA quality was assessed on agarose gels and with the Nanodrop ND-1000 (Thermo Fisher Scientific, USA). Microarray analysis was performed according to Agilent Oligo DNA Microarray Hybridization protocols using the Agilent 44 K Rice Oligo DNA Microarray RAP-DB (Agilent Technologies, USA; G2519F#15241) [15] with three biological replicates (Agilent Technologies, USA; G2519F#15241) [15]. The hybridized slides were scanned using a DNA microarray scanner (Agilent Technologies, USA). Signal intensities were extracted by Feature Extraction software (Agilent Technologies, USA). For statistical analysis, we excluded genes we excluded genes with low signal intensities less than 500 (sum of +Al and –Al signal intensity) in all treatments of the wild-type and star1 mutant. This is based on expression level of known Al-tolerance genes (10–14). The average value (arithmetic mean) of fold change (the ratios of Cy3 and Cy5) and standard deviation (SD) of each probe were calculated using three biological replicates. Since the expression of known Al-tolerance genes is usually up-regulated by higher than three folds (10–14), we extracted genes up-regulated or down-regulated by Al more/less than three-fold in the wild-type and star1 mutant. The data discussed in this publication have been deposited in NCBI's Gene Expression Omnibus and are accessible through GEO Series accession number GSE40964 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE40964).

Genes up- and down-regulated by Al in the wild-type and star1 mutant roots.

Numbers of Al-responsive genes up-regulated (higher than 3-fold) (A) and down-regulated (lower than 3-fold) (B) are extracted. Wild-type (gray circle) and star1 mutant (black circle) are shown in both the root tips and basal root region. The gene functions were categorized based on databases including National Center of Biotechnology Information (NCBI) [16], the Rice Annotation Project Database (RAP-DB) build 5.0 [15] by the International Rice Genome Sequencing Project (IRGSP) [17], and the MSU Rice Genome Annotation Database [18]. The majority of Al-responsive transcripts were assigned to one of the following 12 categories by checking one by one using excel (Microsoft); (1) transport; (2) metabolism; (3) protein synthesis and processing; (4) signal transduction; (5) translation initiation or transcription factors; (6) abiotic or biotic stress response; (7) cell-wall, cell cycle, cell growth and cell cytoskeleton modification or metabolism; (8) DNA/RNA binding or metabolism; (9) phytohormone metabolism and response; (10) mitochondria or plastid; (11) other; (12) unknown molecular function. Genes which expression was changed higher than 3-fold (fluorescence signal more than 500) in the root tips and the basal roots were categorized. Genes which expression was changed lower than 3-fold (fluorescence signal more than 500) in the root tips and the basal roots were categorized.

Quantitative Real-time PCR

To validate microarray data, 12 genes were randomly selected for quantitative real-time PCR (qRT-PCR) (Table S1). Total RNA was prepared from the root tips and basal root regions of wild-type and star1 using RNeasy Plant Mini Kit (Qiagen, Germany) and reversely transcribed using SuperSript™ II Reverse Transcriptase (Invitrogen, USA) and Oligo(dT) primers. The qRT-PCR was performed on an Eppendorf MasterCycler ep realplex real-time PCR (Eppendorf, Germany) using the specific primers described in Table S1.

Genes up- and down-regulated by Al in the root tips and basal roots of the wild-type and star1 mutant.

Number of Al-responsive genes up-regulated (higher than 3-fold) (A) and down-regulated (lower than 3-fold) (B) are extracted. Root tips (gray circle) and basal root regions (black circle) was shown in the wild-type and star1 mutant. One-fifth dilutions of the cDNAs were used as a template for the qRT-PCR in a total volume of 20 µL as follows; 10 µL SYBR Premix Ex Taq™ Perfect Real Time (TaKaRa Biol Inc., Japan), 0.4 µL ROX Reference Dye, 0.8 µL primer mix (50∶50 mix of forward and reverse primers at 10 pmol µL−1 each), 6.8 µL distilled water and 2 µL template. The reaction conditions were: 30 s at 95°C followed by 40 cycles of 30 s at 95°C, 20 s at 60°C and 35 s at 72°C. The rice Histone H3 was used as an internal control. Relative expression levels were calculated by the comparative Ct method. Three independent biological replicates were made for each gene. RAP-ID based The Rice Annotation Project (RAP) ID numbers. Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI). Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP). Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment. Standard deviation of the mean.

Results and Discussion

Tolerance and toxicity of Al stress are a complicated phenomenon, involving many genes and a number of signaling pathways [19]. However, microarray technique has provided a useful tool for investigation of genome-wide changes in transcripts. So far, microarray analysis for Al response has been reported in Arabidopsis [20]–[22], maize [23], [24], Medicago truncatula [25], [26], and wheat [27]. Since the mechanisms for Al-tolerance differ with plant species, in the present study, we performed a microarray analysis with rice, a well-known Al-tolerant species, to understand genes involved in high Al-tolerance at genome-wide scale. Funcronal classification based on Table 1.
Table 1

Functional classification of Al-responsive genes in the roots of the wild-type rice and star1 mutant.

Up-regulateda Down-regulatedb
Root tipsBasal rootsRoot tipsBasal roots
WT (%) star1 (%)WT (%) star1 (%)WT (%) star1 (%)WT (%) star1 (%)
Transport19 (8.8)125 (6.2)10 (7.9)113 (4.7)1 (4.8)102 (6.7)4 (3.6)135 (8.1)
Metabolism31 (14.4)251 (12.5)18 (14.3)340 (14.1)4 (19.0)119 (7.8)19 (17.0)204 (12.3)
Protein synthesis and processing14 (6.5)129 (6.4)7 (5.6)125 (5.2)1 (4.8)86 (5.7)6 (5.4)89 (5.4)
Signal transduction6 (2.8)147 (7.3)2 (1.6)140 (5.8)0 (0)97 (6.4)9 (8.0)98 (5.9)
Translation initiation or transcription factors8 (3.7)113 (5.6)3 (2.4)182 (7.5)3 (14.3)114 (7.5)5 (4.5)123 (7.4)
Abiotic or biotic stress response39 (18.1)276 (13.7)13 (10.3)269 (11.1)3 (14.3)126 (8.3)25 (22.3)133 (8.0)
Cell-wall, cell cycle, cell growthand cell cytoskeleton modificationor metabolism14 (6.5)67 (3.3)13 (10.3)133 (5.5)1 (4.8)137 (9.0)9 (8.0)94 (5.7)
DNA/RNA binding or metabolism1 (0.5)26 (1.3)1 (0.8)60 (2.5)0 (0)77 (5.1)0 (0)37 (2.2)
Phytohormone metabolism and response2 (0.9)21 (1.0)3 (2.4)26 (1.1)0 (0)22 (1.4)1 (0.9)17 (1.0)
Mitochondria or plastid3 (1.4)26 (1.3)1 (0.8)27 (1.1)1 (4.8)12 (0.8)2 (1.8)8 (0.5)
Other0 (0.0)19 (0.9)2 (1.6)31 (1.3)0 (0)12 (0.8)1 (0.9)14 (0.8)
Unknown molecular function protein76 (35.2)815 (40.4)53 (42.1)973 (40.2)7 (33.3)618 (40.6)31(27.7)711 (42.8)
Total213201512624192115211121663

Genes which expression was changed higher than 3-fold (fluorescence signal more than 500) in the root tips and the basal roots were categorized.

Genes which expression was changed lower than 3-fold (fluorescence signal more than 500) in the root tips and the basal roots were categorized.

RAP-ID based The Rice Annotation Project (RAP) ID numbers. Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI). Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP). Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment. Standard deviation of the mean. Al-toxicity is characterized by inhibition of root elongation, which occurs within a few hours after exposure to Al [3]. Therefore, to exclude genes associated with Al-toxicity, we sampled the roots exposed to Al solution for 6 h for microarray analysis. Furthermore, to extract genes related to Al-tolerance, we compared the transcriptional profiling between the wild-type rice and an Al-sensitive mutant, star1 [10]. Moreover, we selected a concentration of 20 µM for Al treatment. At this concentration, the root elongation of the wild-type rice was hardly inhibited, whereas that of the mutant was inhibited by 75% (Figure 1), which make possible to extract genes possibly associated with Al-tolerance.
Figure 1

Al-induced inhibition of root elongation.

Seedlings (6-d-old) of both wild-type rice (WT) and an Al-sensitive mutant (star1) were exposed to a 0.5 mM CaCl2 solution (pH 4.5) containing 0, 20 µM Al for 6 h. The root length was measured with a ruler before and after Al treatment. Error bars represent ± SD (n = 10). Different letters indicate significant differences at P<0.05 by Tukey’s Honestly Significantly Different test.

Verification of Microarray Results by Quantitative Real-time PCR

To validate the reliability of the microarray data, we randomly selected 12 genes from root tips and basal root regions for the quantitative real-time PCR (qRT-PCR) analysis. There was a good correlation (r = 0.84) between the microarray data and the qRT-PCR results (Figure 2). These results indicated that the microarray data could reflect the transcriptional changes caused by Al stress.
Figure 2

Correlation of gene expression ratio between microarray data and quantatitive RT-PCR data.

Twelve genes randomly selected were subjected to quantitative real-time PCR analysis. OsHistone H3 was used as an internal standard. Microarray data (fold change of gene expression) were plotted against data (fold change of gene expression) from quantitative real-time PCR. Both x- and y-axes are shown in log2 scale. r indicates correlation coefficient.

RAP-ID based The Rice Annotation Project (RAP) ID numbers. Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI). Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP). Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment. Standard deviation of the mean.

Overview of Al-induced Transcriptional Profiling

Agilent 44 K Rice Oligo DNA Microarray RAP-DB covers almost genes in rice genome [15]. In the root tips (0–1 cm) of wild-type rice, exposure to 20 µM AlCl3 for 6 h resulted in up-regulation of 213 genes and down-regulation of 21 genes (Figure 3A and 3B). By contrast, much more genes (2015 and 1521) were up- and down-regulated by the same treatment in the star1 mutant (Figure 3A and 3B). In the basal root region (1–2 cm), 126 and 112 genes, respectively, was up- and down-regulated in the wild-type rice, whereas the numbers of up- and down-regulated genes were 2419 and 1663, respectively, in the star1 mutant (Figure 3A and 3B).
Figure 3

Genes up- and down-regulated by Al in the wild-type and star1 mutant roots.

Numbers of Al-responsive genes up-regulated (higher than 3-fold) (A) and down-regulated (lower than 3-fold) (B) are extracted. Wild-type (gray circle) and star1 mutant (black circle) are shown in both the root tips and basal root region.

Functional category analysis showed that 27.0–42.8% of the up- and down-regulated genes are assigned to unknown function (Table 1). Genes related to ‘Metabolism’ and ‘Abiotic or biotic stress response’ were mostly affected by Al stress in both the wild-type rice and star1 roots (Table 1). Since the root elongation was hardly inhibited in the wild-type rice, but severely inhibited in the star1 mutant, three different groups for Al-responsive genes could be divided by comparing expression profiling between wild-type rice and star1 mutant. Group 1 includes genes which are up- or down-regulated by Al only in the wild-type rice. These genes are probably involved in Al-tolerance. Twenty eight up-regulated and three down-regulated genes in the root tips, 50 up-regulated and 43 down-regulated genes in the basal root region, belong to this group (Figure 3A and 3B). Group 2 includes genes, which are up- or down-regulated by Al in both the wild-type rice and star1 mutant. These genes are probably involved in Al-tolerance or -toxicity. There are 185 up-regulated and 18 down-regulated genes in this group in the root tip, 76 up-regulated and 69 down-regulated genes in the basal root region (Figure 3A and 3B, Table S2–S5). Genes in Group 3 are those up- or down-regulated only in the mutant. These genes are related to Al-toxicity and included 1830 up-regulated genes and 1503 down-regulated genes in the root tip, 2343 up-regulated and 1594 down-regulated genes in the basal root region (Figure 3A and 3B). Most genes in this group are also response to general stresses and found in microarray data of other plant species such as Arabidopsis [20], maize [23], [24] M. truncatula [25], [26] and wheat [27]. For example, the genes encoding a NADPH oxidase, peroxidase, oxalate oxidase, which are reactive oxygen species (ROS; O2 −, H2O2) generators, were up-regulated (Table S2). Most types of abiotic stresses disrupt the metabolic balance of cells, resulting in enhanced production of ROS [28]. The accumulation of ROS such as 1O2, O2 −, H2O2 and HO•, during abiotic stresses was considered to be a by-product of stress metabolism as well as an overall unwelcome by-product of aerobic metabolism [29]. These findings indicate that these genes are involved in arrest of plant root elongation in response to general stress.

Spatial Profiling of Al-responsive Genes

Root tip has been considered as the target of Al-toxicity [3] based on root elongation inhibition, however, surprisingly, similar numbers of genes were up- and down-regulated by Al in the root tips and mature regions of both wild-type rice and star1 mutant (Figure 4A and 4B). This result raises a question on whether the root tip is only the target of Al-toxicity. Among genes affected, 49 up-regulated and 7 down-regulated genes were the same between root tip and basal root region in the wild-type rice (Figure 4A and 4B), but most Al-responsive genes were different between the root tip and basal root region. This was the same in the star1 mutant; 1385 up-regulated and 522 down-regulated genes were the same between the root tip and basal root region, whereas other genes showed root region-dependent (Figure 4A and 4B). These results suggest that basal root region is also a target of Al-toxicity in addition to the root tip. In M. truncatula, Al-induced gene expression is also found not to be restricted to the root tip [25]. In fact, some genes identified from rice were expressed in both the root tips and basal root region. For example, OsFRDL4 was expressed in both the root tip and the mature root zones [11]. The expression of OsSTAR1 and OsSTAR2 was also induced in both regions [10]. These findings suggest that the basal root region is also involved in Al-tolerance and -toxicity.
Figure 4

Genes up- and down-regulated by Al in the root tips and basal roots of the wild-type and star1 mutant.

Number of Al-responsive genes up-regulated (higher than 3-fold) (A) and down-regulated (lower than 3-fold) (B) are extracted. Root tips (gray circle) and basal root regions (black circle) was shown in the wild-type and star1 mutant.

Transcriptional Profiling of ART1-regulated Genes in the Wild-type and the star1 Mutant Roots

ART1-regulated Al-tolerance has been identified as a major mechanism responsible for high Al-tolerance in rice [7], [8]. We compared expression profiling of ART1-reguated downstream genes between wild-type rice and star1 mutant. Among 31 downstream genes, 11 genes showed higher fold changes in the expression in the mutant than in the wild-type rice (Table 2), whereas 13 genes showed higher fold changes in the wild-type rice than in the mutant (Table 2). Seven genes showed similar fold changes in the expression between wild-type rice and mutant (Table 2). Six genes were only up-regulated in the wild-type rice, including genes encoding Expansin (Os04g0583500), Mg2+ transporter/OsMGT1 (Os01g0869200), OsNramp4/OsNrat1 (Os02g0131800), LrgB-like protein family protein (Os10g0578800), Allyl alcohol dehydrogenase (Os12g0227400) and uncharacterized plant-specific domain 01627 containing protein (Os11g0490100, Table 2). Among them, OsNrat1 (Al3+ transporter) and OsMGT1 (Mg2+ transporter) have been demonstrated to be involved in Al-tolerance [12], [14]. Although several ART1-regulated genes were also up-regulated in the mutant, the Al-tolerance was severally decreased, indicating that not a single gene, but multiple genes are required to function together for high Al-tolerance in rice.
Table 2

Expression changes of ART1-regulated genes in the roots of wild-type rice and star1 mutant.

Root tipsBasal roots
WT star1 WT star1
RAP IDa Accessionb Annotationc Fold change(+Al/−Al)d ±SDe Fold change(+Al/−Al)±SDFold change(+Al/−Al)±SDFold change(+Al/−Al)±SD
Cell wall maintenance and Root elongation
Os01g0178300AK062450OsCDT37.431.5824.673.2811.723.859.822.66
Os01g0652100AK069291Protein of unknown function DUF231 domaincontaining protein3.310.402.550.413.970.611.580.83
Os01g0860500AK069860Chitinase10.324.5112.092.343.670.847.414.20
Os03g0760800AK121316Gibberellin regulated protein family protein4.911.2921.946.137.542.079.135.14
Os04g0583500AK062225Expansin 45.281.231.360.421.010.191.470.84
Os09g0479900CI269495Peptidase S8 and S53, subtilisin, kexin, sedolisin domaincontaining protein3.430.256.400.781.400.199.835.61
Os10g0524600AK069238Peptidase S8 and S53, subtilisin, kexin, sedolisin domaincontaining protein2.260.153.460.7610.592.8825.7111.89
Membrane protein
Os01g0869200AK073453Mg2+ transporter/OsMGT14.430.772.120.423.240.591.780.48
Os02g0131800AK102180OsNramp4/OsNrat17.850.310.740.085.530.180.270.08
Os02g0755900AK104985UDP-glucuronosyl/UDP-glucosyltransferase family protein5.910.2823.351.401.210.2944.246.83
Os03g0755100AK066049Tonoplast-localized half-size ATP binding cassette (ABC)transporter/OsALS13.430.154.210.182.570.092.630.74
Os05g0119000AK069359Bacterial-type ATP binding cassette (ABC) transporter/OsSTAR26.751.863.620.853.680.901.630.47
Os06g0695800AK109450Bacterial-type ATP binding cassette (ABC) transporter/OsSTAR14.390.184.600.333.880.192.410.15
Os09g0426800AK060786Gl1 protein1.970.384.670.535.340.710.990.22
Os10g0206800AK072077Multidrug and toxic compound extrusion (MATE) family protein/OsFRDL25.760.213.440.305.890.441.580.29
Os10g0578800AK065615LrgB-like protein family protein7.890.492.360.155.220.240.740.47
Metabolism and Detxification
Os01g0716500AK101454SAM (and some other nucleotide) binding motif domaincontaining protein1.900.1042.654.841.990.3013.9812.53
Os02g0186800NM_001052658Cytochrome P450 family protein12.484.645.230.595.800.901.990.22
Os02g0770800AK102178Nitrate reductase8.631.3410.990.4530.194.2959.407.64
Os12g0227400CI560939Allyl alcohol dehydrogenase16.060.782.640.208.940.150.480.23
Unknown
Os01g0731600NM_001050684Conserved hypothetical protein18.184.3923.145.081.680.3114.1513.58
Os01g0766300NM_001050890Conserved hypothetical protein6.231.8230.973.955.940.6312.563.48
Os01g0919200AK071325Cell division protein FtsZ family protein4.240.8011.582.032.240.5118.6916.31
Os03g0126900AK109217Conserved hypothetical protein7.320.674.110.247.840.472.110.08
Os03g0304100AK111121Hypothetical protein10.734.0934.6311.224.040.490.780.57
Os04g0419100AK107777Hypothetical protein16.410.445.380.391.090.237.965.25
Os04g0494900AK073892Protein of unknown function DUF642 family protein15.050.863.640.742.980.1699.5631.86
Os07g0493100AK068708Non-protein coding transcript, uncharacterized transcript26.0811.107.180.8713.414.306.972.12
Os07g0587300CI285201Hypothetical protein6.621.76208.4471.706.361.10104.4946.28
Os11g0488100CI197875Hypothetical protein4.500.167.000.562.020.121.960.13
Os11g0490100AK108872Uncharacterized plant-specific domain 01627 containing protein5.040.721.760.259.751.1021.5310.50

RAP-ID based The Rice Annotation Project (RAP) ID numbers.

Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI).

Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP).

Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment.

Standard deviation of the mean.

Novel Al-tolerance Mechanism in Rice

Among 28 genes only up-regulated in the root tips of the wild-type (Table 2, Table 3), 6 genes are ART1-regulated, indicating that there are other mechanisms for Al-tolerance except ART1-regulated pathway in rice. Seven genes out of 22 genes belong to unknown function group (Table 3), while other genes are related to transporter (nitrate transporter, iron-regulated transporter), metabolism (nitrate reductase), oxidative stress-responsive genes (germin-like protein), polysaccharide/cell wall metabolism (cell wall invertase, beta-1,3-glucanase precursor) and so on.
Table 3

Genes up- and down-regulated only in the root tips of wild-type rice.

Functional classificationfa/RAP IDb Accessionc Annotationd Fold change (+Al/−Al)e ±SDf
Up-regulated
ART1-regulated genes
Os12g0227400CI560939Allyl alcohol dehydrogenase16.060.78
Os10g0578800AK065615LrgB-like protein family protein7.890.49
Os02g0131800AK102180OsNramp4/OsNrat17.850.31
Os11g0490100AK108872Uncharacterized plant-specific domain 01627 containingprotein5.040.72
Os04g0583500AF247165Expansin 45.001.49
Os01g0869200AK073453Mg2+ transporter/OsMGT14.430.77
Other genes
Transpot
Os05g0410900AK119621Nitrate transporter/OsNRT16.910.93
Os03g0667500AY327039Iron-regulated transporter 2/OsIRT23.160.28
Metabolism
Os08g0468100AK101662Nitrate reductase [NADH] 1/OsNR3.020.37
Protein synthesis and processing
Os05g0360400AK106046Zn-finger, RING domain containing protein5.300.93
Os04g0535200AK060585Peptidase aspartic family protein3.250.33
Translation initiation or transcription factors
Os07g0569100AK120160Remorin, C-terminal region domain containing protein3.170.52
Abiotic or biotic stress response
Os03g0804500AF072694Germin-like protein subfamily T member 1 precursor/OsGLP4.680.49
Os07g0214900NP_001059187Chalcone synthase/OsCHS4.360.24
Os04g0456200NP_001052967TMV induced protein 1–23.680.23
Os05g0495900AB027431Beta-1,3-glucanase precursor3.680.38
Os01g0713200AB027429Beta-1,3-glucanase precursor3.230.62
Cell-wall, cell cycle, cell growth and cell cytoskeleton modification or metabolism
Os04g0664900CI550916Cell wall invertase4.120.64
Os04g0683700AK1195124-coumarate-CoA ligase-like protein3.380.16
Os07g0568700AF466357Floral organ regulator 13.351.09
Hormone metabolism and response
Os03g0738600AK073529Lipoxygenase L-23.630.89
Unknown molecular function protein
Os10g0137300NP_001064130Conserved hypothetical protein7.550.91
Os03g0183200AK106987Conserved hypothetical protein4.360.98
Os01g0915900CI543502(No Hit)3.671.08
Os11g0211800AK059202Hypothetical protein3.271.09
Os01g0824800AK066200Conserved hypothetical protein3.130.62
Os01g0319200NP_001042887Plant protein of unknown function family protein3.100.22
Os05g0410800AK108312Conserved hypothetical protein2.990.08
Down-regulated genes
Translation initiation or transcription factors
Os07g0558100Y11415Myb protein (similar to ATMYB102)0.270.02
Os03g0279700AK111338ZPT2-120.330.11
Unknown molecular function protein
Os10g0391400AK107854ZIM domain containing protein. (simirlar to JAZ; JA signaling)0.280.06

Funcronal classification based on Table 1.

RAP-ID based The Rice Annotation Project (RAP) ID numbers.

Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI).

Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP).

Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment.

Standard deviation of the mean.

Genes encoding nitrate transporter1 (OsNRT1; Os05g0410900) and nitrate reductase (OsNR; Os08g0468100) were up-regulated by 6.9- and 3.0-fold in the root tips of wild-type rice (Table 3). OsNRT1 is a low-affinity transporter for nitrate uptake [30], while OsNR is responsible for the reduction of nitrate to nitrite [31]. Rice takes up nitrogen mainly in the form of ammonium, therefore, it is unlikely that up-regulation of OsNRT1 and OsNR is for enhancing nitrogen uptake. One possibility is that the up-regulation is associated with nitric oxide (NO) production. Nitric oxide is produced from nitrite and a key signal molecule involved in many physiological processes in plants [32]. In fact, addition of exogenous NO enhanced Al-tolerance in rice roots by decreasing the contents of pectin and hemicellulose, increasing the degree of methylation of pectin, and decreasing Al accumulation in root cell walls [32], supporting that up-regulation of OsNRT1 and OsNR is required for Al-tolerance in rice. Gene encoding iron-regulated transporter 2 (OsIRT2; Os03g0667500) was up-regulated by 3.2-fold (Table 3). Fe uptake is proposed to be mediated through OsIRT1 and OsIRT2 [33]. Interestingly, only IRT2, but not OsIRT1 was up-regulated by Al. Furthermore, this up-regulation seems to be distinct in rice since its homolog is not induced by Al in Arabidopsis, maize, M. truncatula, and wheat roots [20]–[27]. Al inhibits Fe uptake [34], therefore up-regulation of OsIRT2 is necessary for increasing Fe uptake. Genes related with secondary metabolism were also up-regulated by Al. Chalcone synthase (CHS, EC 2.3.1.74) is a key enzyme of the flavonoid/isoflavonoid biosynthesis pathway. A gene encoding this enzyme was up-regulated by 4.4-fold (Table 3). CHS is quite commonly induced in different plant species under different forms of stress like UV, wounding, herbivory and microbial pathogens, resulting in the production of compounds that have e.g. antimicrobial activity (phytoalexins), insecticidal activity, and antioxidant activity or quench UV light directly or indirectly [35]. CHS expression causes accumulation of flavonoid and isoflavonoid. On the other hand, 4-Coumarate:CoA ligase has a pivotal role in the biosynthesis of plant secondary compounds at the divergence point from general phenylpropanoid metabolism to several major branch pathways [36]. Al is known to induce peroxidation and ROS formation in rice roots [37], [38]. Increased secondary metabolites such as flavonoids may increase anti-oxidative capacity, subsequently alleviating Al-toxicity. In line with this aspect, a gene encoding germin-like protein (OsGLP; Os03g0804500) was also up-regulated (Table 3). Germin-like proteins (GLPs) constitute a diverse family of ubiquitous plant glycoproteins [39]. Many GLPs have manganese-containing superoxide dismutase (SOD) activity [40], [41]. The SOD activities catalyze the dismutation of superoxide into oxygen and hydrogen peroxide. In this study, OsSOD was not up-regulated in rice roots after short exposure to Al stress (Table 3, Table 4, Table S2, S3), indicating OsSOD might not function in rice root after short exposure to Al stress. Thus, OsGLP might function as SOD. Furthermore, the H2O2 produced by OsGLPs is detoxicated by peroxiredoxin (PrxR) and thioredoxin (Trx) because they are only up-regulated antioxidant genes in rice root tips (Table S2). These results suggested that OsGLP, OsPrxR and OsTrx function as major ROS-scavenging enzymes in the rice roots after short exposure to Al stress.
Table 4

Genes up- and down-regulated only in the basal roots of wild-type rice.

Functional classificationfa/RAP IDb Accessionc Annotationd Fold change(+Al/−Al)e ±SDf
Up-regulated
ART1-regulated genes
Os12g0227400CI560939Allyl alcohol dehydrogenase8.940.15
Os03g0126900AK109217Conserved hypothetical protein7.840.47
Os10g0206800AK072077Multidrug and toxic compound extrusion (MATE) family protein/OsFRDL25.890.44
Os02g0131800AK102180OsNramp4/OsNrat15.530.18
Os09g0426800AK060786Gl1 protein5.340.71
Os10g0578800AK065615LrgB-like protein family protein5.220.24
Os03g0304100AK111121Hypothetical protein4.040.49
Os06g0695800AK064089Bacterial-type ATP binding cassette (ABC) transporter/OsSTAR13.810.19
Os05g0119000AK069359Bacterial-type ATP binding cassette (ABC) transporter/OsSTAR23.680.90
Os01g0869200AK073453Mg2+ transporter/OsMGT13.240.59
Other genes
Transport
Os06g0701700AB061311HKT-type transporter (Sodium ion transporter)2.970.83
Metabolism
Os08g0547300AK072163E-class P450, group I family protein7.653.42
Os04g0405300AK110700Stem secoisolariciresinol dehydrogenase4.041.05
Os06g0500700CI431272Cytochrome P450 family protein3.481.21
Os02g0176900NP_001046065Aldose 1-epimerase family protein3.470.67
Os05g0438600AY035554Fructose-1,6-bisphosphatase (FBPase)3.450.16
Os11g0487600NP_001067918Cytochrome P450 family protein3.170.09
Os05g0424300AK120987Cytochrome P450 family protein3.070.44
Protein synthesis and processing
Os12g0108500AK122171Cyclin-like F-box domain containing protein10.160.26
Os04g0535200AK060585Peptidase aspartic family protein3.100.35
Translation initiation or transcription factors
Os01g0286100AK102252Basic helix-loop-helix dimerisation region bHLH domain containing protein3.340.45
Abiotic or biotic stress response
Os09g0361500AK120689Isochorismate synthase 1 (ICS1)4.080.76
Os05g0223000AK071661Calmodulin-related protein 2, touch-induced3.320.77
Os04g0635500AK069933Wound induced protein3.050.81
Cell-wall, cell cycle, cell growth and cell cytoskeleton modification or metabolism
Os04g0506800AK070719Glycosyl transferase, family 29 protein/OsGT5.210.77
Os11g0444000AK099588UDP-glucosyltransferase BX83.500.37
Os02g0802200AK107538Glycoside hydrolase, family 79, N-terminal domain containing protein/OsGH3.340.42
Os04g0477500AK063950Glycosyl transferase, family 17 protein/OsGT3.150.30
Os03g0324700AK121618Exostosin-like family protein3.030.25
Hormone metabolism and response
Os04g0667400AK1194132OG-Fe(II) oxygenase domain containing protein5.421.44
Mitochondria or plastid
Os07g0469100AK120365Thylakoid membrane phosphoprotein 14 kDa3.060.34
Unknown molecular function protein
Os07g0269000CI251879(No Hit)3.740.10
Os10g0473200AK105229Conserved hypothetical protein5.050.76
Os05g0573800CI142713(No Hit)4.490.56
Os04g0635400CI037812Conserved hypothetical protein4.381.40
Os04g0603800AK063616Hypothetical protein4.170.13
Os03g0183200AK106987Conserved hypothetical protein4.100.75
Os12g0265400CI096837Hypothetical protein4.050.23
Os09g0459900AK063208Cyclin-dependent kinase inhibitor family protein3.921.21
Os09g0459500AB118006Hypothetical protein3.870.49
Os03g0255500AK061620Phosphoenolpyruvate carboxykinase3.690.36
Os01g0213500CI426147Conserved hypothetical protein3.450.15
Os11g0259100NP_001067644Hypothetical protein3.430.60
Os02g0600200AK058978IQ calmodulin-binding region domain containing protein3.230.70
Os02g0327000AK073631C2 domain containing protein3.150.28
Os06g0535200AK109943Zn-finger, RING domain containing protein3.100.17
Os01g0854000AK070440Conserved hypothetical protein3.100.72
Os04g0520700AK065832Protein of unknown function DUF584 family protein3.080.81
Os03g0113900AK119700Protein of unknown function DUF584 family protein2.980.19
Os04g0231800AK068417Protein of unknown function DUF1165 family protein2.950.03
Down-regulated
Transport
Os04g0538900CI558963Glyoxalase/bleomycin resistance protein/dioxygenase domain containing protein0.290.10
Os03g0817200AK121940Amino acid/polyamine transporter II family protein0.310.03
Os03g0375900AK107064Amino acid/polyamine transporter I family protein0.320.05
Metabolism
Os06g0185500C97337Transferase family protein0.050.02
Os06g0185300Transferase family protein0.150.04
Os12g0626400AK063967Squalene/phytoene synthase family protein0.220.03
Os06g0549900AK109673FAD linked oxidase, N-terminal domain containing protein0.230.07
Os06g0294600AK058424Cytochrome P450 family protein0.240.01
Os11g0644800CI019806Tyrosine/nicotianamine aminotransferase family protein0.250.04
Os07g0643400AK061012Esterase/lipase/thioesterase domain containing protein0.310.02
Protein synthesis and processing
Os01g0124100AK062394Proteinase inhibitor I12, Bowman-Birk family protein0.130.01
Os10g0537800AK061277Peptidase A1, pepsin family protein0.210.06
Os03g0318400AK106440Peptidase A1, pepsin family protein0.210.07
Signal transduction
Os07g0186200NP_001059070Protein kinase family protein0.320.03
Os04g0618700AK120799Protein kinase domain containing protein0.340.02
Os01g0699600AK105196Protein kinase domain containing protein0.340.23
Translation initiation or transcription factors
Os02g0624300AK112056MYB1 protein0.110.09
Os11g0702400AK105226Zn-finger, C2H2 type domain containing protein0.260.03
Abiotic or biotic stress response
Os07g0129300AF306651Pathogenesis-related protein 1 precursor0.070.02
Os06g0546500AK073833Peroxidase0.160.03
Os05g0427400CI551987Phenylalanine ammonia-lyase0.190.01
Os02g0627100AK068993Phenylalanine ammonia-lyase0.220.04
Os09g0417800AK067834DNA-binding WRKY domain containing protein0.240.07
Os09g0417600AF467736DNA-binding WRKY domain containing protein0.260.05
Os10g0542900AB016497Chitinase0.280.06
Os05g0135400AK063587Plant peroxidase family protein0.290.06
Os05g0149400AK0610641-aminocyclopropane-1-carboxylate oxidase/OsACC0.300.10
Os01g0687400AB110201Chitinase0.310.04
Os11g0592000AK121059Barwin0.330.04
Os01g0933900AF309383Glutathione transferase III(B)0.350.02
Cell-wall, cell cycle, cell growth and cell cytoskeleton modification or metabolism
Os02g0267200CI377660Alpha-expansin OsEXPA130.320.04
Unknown molecular function protein
Os04g0368000CI447876(No Hit)0.150.04
Os06g0587300AK121885Conserved hypothetical protein0.050.03
Os06g0586000AK063903Conserved hypothetical protein0.070.03
Os12g0437800AK063833CI2E0.080.02
Os01g0796000CI508923(No Hit)0.120.04
Os10g0391400AK107854ZIM domain containing protein0.180.15
Os05g0368000NP_001055341Conserved hypothetical protein0.200.03
Os06g0282000CI563293(No Hit)0.210.03
Os06g0292400CI409636Embryogenesis transmembrane protein0.270.02
Os02g0520100AK072610NUDIX hydrolase domain containing protein0.280.01
Os03g0187800AK105352Protein of unknown function DUF250 domain containing protein0.300.05
Os06g0155400NP_001056850Hypothetical protein0.330.06

RAP-ID based The Rice Annotation Project (RAP) ID numbers.

Accsesion based GenBank locus of the National Center of Biotechnology Information (NCBI).

Annotation based on the Rice Annotation Project Database (RAP-DB) build 3.0 by the International Rice Genome Sequencing Project (IRGSP).

Fold change, ratio of transcript abundance in Al treatement/transcript abundance in control (−Al) treatment.

Standard deviation of the mean.

Among genes up-regulated by Al only in the basal region of wild-type rice, some are related to polysaccharide/cell wall metabolism, including genes encoding glycoside hydrolase (GH; Os02g0802200) and glycosyl transferases (GTs; Os04g0506800, Os04g0477500) (Table 4). Glycoside hydrolases (GHs) catalyze the hydrolysis of the glycosidic linkage to release smaller sugars [42]. Glycosyl transferases (GTs) catalyze the transfer of sugar moieties from activated donor molecules to specific acceptor molecules, thereby forming glycosidic bonds [43]. Al causes the thickening and rigidification of cell walls [44]. Increased expression of OsGH and OsGTs may contribute to the cell wall synthesis, hence alleviating the Al-induced inhibition of longitudinal cell expansion. Gene encoding 1-aminocyclopropane-1-carboxylate oxidase (OsACC; Os05g0149400) was down-regulated in the basal root (Table 4). OsACC is related to biosynthesis of ethylene. Ethylene production is associated with inhibition of root elongation in Lotus japonicus and M. truncatula [45]. Down-regulation of OsACC may prevent further inhibition of root growth caused by Al. The association between other genes and Al-tolerance remain to be examined in future. As a conclusion, our comparative genome-wide transcriptional analysis reveals that there are other mechanisms for Al-tolerance except for ART1-regulated one in rice including those related to nitrogen assimilation, secondary metabolite synthesis, cell-wall synthesis and ethylene synthesis. Although the exact roles of these putative tolerance genes remain to be examined, our data provide a platform for further work on Al-tolerance in rice. Primer sequences used for quantitative real-time PCR. (XLS) Click here for additional data file. Genes up-regulated in the root tips of both the wild-type and mutant. (XLS) Click here for additional data file. Genes up-regulated in the basal root regions of both the wild-type and mutant. (XLS) Click here for additional data file. Genes down-regulated in the root tips of both the wild-type and mutant. (XLS) Click here for additional data file. Genes down-regulated in the basal roots of both the wild-type and mutant. (XLS) Click here for additional data file.
  41 in total

1.  A tonoplast-localized half-size ABC transporter is required for internal detoxification of aluminum in rice.

Authors:  Chao-Feng Huang; Naoki Yamaji; Zhichang Chen; Jian Feng Ma
Journal:  Plant J       Date:  2011-11-29       Impact factor: 6.417

2.  Plasma membrane-localized transporter for aluminum in rice.

Authors:  Jixing Xia; Naoki Yamaji; Tomonari Kasai; Jian Feng Ma
Journal:  Proc Natl Acad Sci U S A       Date:  2010-10-11       Impact factor: 11.205

Review 3.  Reactive oxygen signaling and abiotic stress.

Authors:  Gad Miller; Vladimir Shulaev; Ron Mittler
Journal:  Physiol Plant       Date:  2008-07-01       Impact factor: 4.500

4.  Transcriptional profile of maize roots under acid soil growth.

Authors:  Lucia Mattiello; Matias Kirst; Felipe R da Silva; Renato A Jorge; Marcelo Menossi
Journal:  BMC Plant Biol       Date:  2010-09-09       Impact factor: 4.215

5.  Transcriptome profiling identified novel genes associated with aluminum toxicity, resistance and tolerance in Medicago truncatula.

Authors:  Divya Chandran; Natasha Sharopova; Sergey Ivashuta; J Stephen Gantt; Kathryn A Vandenbosch; Deborah A Samac
Journal:  Planta       Date:  2008-03-20       Impact factor: 4.116

6.  Aluminium-induced production of oxygen radicals, lipid peroxidation and DNA damage in seedlings of rice (Oryza sativa).

Authors:  Balaji Meriga; B Krishna Reddy; K Rajender Rao; L Ananda Reddy; P B Kavi Kishor
Journal:  J Plant Physiol       Date:  2004-01       Impact factor: 3.549

Review 7.  Recent progress in the research of external Al detoxification in higher plants: a minireview.

Authors:  Jian Feng Ma; Jun Furukawa
Journal:  J Inorg Biochem       Date:  2003-09-15       Impact factor: 4.155

8.  The 4-coumarate:CoA ligase gene family in Arabidopsis thaliana comprises one rare, sinapate-activating and three commonly occurring isoenzymes.

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Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-09       Impact factor: 11.205

9.  NCBI BLAST: a better web interface.

Authors:  Mark Johnson; Irena Zaretskaya; Yan Raytselis; Yuri Merezhuk; Scott McGinnis; Thomas L Madden
Journal:  Nucleic Acids Res       Date:  2008-04-24       Impact factor: 16.971

10.  Physiological and molecular characterization of aluminum resistance in Medicago truncatula.

Authors:  Divya Chandran; Natasha Sharopova; Kathryn A VandenBosch; David F Garvin; Deborah A Samac
Journal:  BMC Plant Biol       Date:  2008-08-19       Impact factor: 4.215

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  11 in total

1.  New insights into aluminum tolerance in rice: the ASR5 protein binds the STAR1 promoter and other aluminum-responsive genes.

Authors:  Rafael Augusto Arenhart; Yang Bai; Luiz Felipe Valter de Oliveira; Lauro Bucker Neto; Mariana Schunemann; Felipe dos Santos Maraschin; Jorge Mariath; Adriano Silverio; Gilberto Sachetto-Martins; Rogerio Margis; Zhi-Yong Wang; Marcia Margis-Pinheiro
Journal:  Mol Plant       Date:  2013-11-19       Impact factor: 13.164

2.  Interactive regulation of nitrogen and aluminum in rice.

Authors:  Xue Qiang Zhao; Ren Fang Shen
Journal:  Plant Signal Behav       Date:  2013-03-26

3.  TAA1-regulated local auxin biosynthesis in the root-apex transition zone mediates the aluminum-induced inhibition of root growth in Arabidopsis.

Authors:  Zhong-Bao Yang; Xiaoyu Geng; Chunmei He; Feng Zhang; Rong Wang; Walter J Horst; Zhaojun Ding
Journal:  Plant Cell       Date:  2014-07-22       Impact factor: 11.277

4.  Genome-wide transcriptomic and phylogenetic analyses reveal distinct aluminum-tolerance mechanisms in the aluminum-accumulating species buckwheat (Fagopyrum tataricum).

Authors:  Haifeng Zhu; Hua Wang; Yifang Zhu; Jianwen Zou; Fang-Jie Zhao; Chao-Feng Huang
Journal:  BMC Plant Biol       Date:  2015-01-21       Impact factor: 4.215

5.  Mechanisms on boron-induced alleviation of aluminum-toxicity in Citrus grandis seedlings at a transcriptional level revealed by cDNA-AFLP analysis.

Authors:  Xin-Xing Zhou; Lin-Tong Yang; Yi-Ping Qi; Peng Guo; Li-Song Chen
Journal:  PLoS One       Date:  2015-03-06       Impact factor: 3.240

6.  Comparative Transcriptome Analysis of Two Contrasting Soybean Varieties in Response to Aluminum Toxicity.

Authors:  Lijuan Zhao; Jingjing Cui; Yuanyuan Cai; Songnan Yang; Juge Liu; Wei Wang; Junyi Gai; Zhubing Hu; Yan Li
Journal:  Int J Mol Sci       Date:  2020-06-17       Impact factor: 5.923

7.  Changes in the Distribution of Pectin in Root Border Cells Under Aluminum Stress.

Authors:  Teruki Nagayama; Atsuko Nakamura; Naoki Yamaji; Shinobu Satoh; Jun Furukawa; Hiroaki Iwai
Journal:  Front Plant Sci       Date:  2019-10-02       Impact factor: 5.753

8.  Root transcriptome reveals efficient cell signaling and energy conservation key to aluminum toxicity tolerance in acidic soil adapted rice genotype.

Authors:  Wricha Tyagi; Julia S Yumnam; Devyani Sen; Mayank Rai
Journal:  Sci Rep       Date:  2020-03-12       Impact factor: 4.379

9.  Physiological and Molecular Analysis of Aluminium-Induced Organic Acid Anion Secretion from Grain Amaranth (Amaranthus hypochondriacus L.) Roots.

Authors:  Wei Fan; Jia-Meng Xu; He-Qiang Lou; Chuan Xiao; Wei-Wei Chen; Jian-Li Yang
Journal:  Int J Mol Sci       Date:  2016-04-30       Impact factor: 5.923

10.  Elevated Carbon Dioxide Alleviates Aluminum Toxicity by Decreasing Cell Wall Hemicellulose in Rice (Oryza sativa).

Authors:  Xiao Fang Zhu; Xu Sheng Zhao; Bin Wang; Qi Wu; Ren Fang Shen
Journal:  Front Physiol       Date:  2017-07-18       Impact factor: 4.566

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