Transcriptional responses of Arabidopsis thaliana plants to As (V) stress
© Abercrombie et al; licensee BioMed Central Ltd. 2008
Received: 16 October 2007
Accepted: 06 August 2008
Published: 06 August 2008
Arsenic is toxic to plants and a common environmental pollutant. There is a strong chemical similarity between arsenate [As (V)] and phosphate (Pi). Whole genome oligonucleotide microarrays were employed to investigate the transcriptional responses of Arabidopsis thaliana plants to As (V) stress.
Antioxidant-related genes (i.e. coding for superoxide dismutases and peroxidases) play prominent roles in response to arsenate. The microarray experiment revealed induction of chloroplast Cu/Zn superoxide dismutase (SOD) (at2g28190), Cu/Zn SOD (at1g08830), as well as an SOD copper chaperone (at1g12520). On the other hand, Fe SODs were strongly repressed in response to As (V) stress. Non-parametric rank product statistics were used to detect differentially expressed genes. Arsenate stress resulted in the repression of numerous genes known to be induced by phosphate starvation. These observations were confirmed with qRT-PCR and SOD activity assays.
Microarray data suggest that As (V) induces genes involved in response to oxidative stress and represses transcription of genes induced by phosphate starvation. This study implicates As (V) as a phosphate mimic in the cell by repressing genes normally induced when available phosphate is scarce. Most importantly, these data reveal that arsenate stress affects the expression of several genes with little or unknown biological functions, thereby providing new putative gene targets for future research.
Arsenic (As) is a toxic metalloid found ubiquitously in the environment  and is classified as a human carcinogen . Currently, the US Environmental Protection Agency declares arsenic as the highest priority hazardous substance found at contaminated sites in the United States (see Availability and requirements section for URL). Naturally high levels of arsenic in drinking water have caused major human health problems in the United States, China, Argentina, Taiwan, and most notably in Bangladesh and India where tens of millions of people have been affected [3, 4]. Arsenic is highly toxic at low concentrations, therefore drinking water safety standards were lowered from 50 to 10 μg/L in the U.S. .
Plants typically encounter arsenic in the anionic forms of arsenate [As (V)] and arsenite [As (III)], both of which have different cytotoxic effects . As (III) reacts with the sulfhydryl groups of enzymes and proteins, thereby inhibiting cellular function and resulting in death . Alternatively, As (V) is an analog of the macronutrient phosphate, so it competes with phosphate for uptake in the roots, as well as in the cytoplasm where it might disrupt metabolism by replacing phosphate in ATP to form unstable ADP-As . Once taken up by the roots, arsenate is reduced to a more highly toxic species, arsenite, which is subsequently detoxified via soluble thiols such as glutathione and/or phytochelatins (PCs) and transported for vacuolar sequestration . PCs are low molecular weight thiolate peptides of the general structure (γ-Glu-Cys) n -Gly (n = 2–11) and are synthesized from glutathione by the constitutively present phytochelatin synthase . Both arsenate and arsenite efficiently induce the production of PCs in plants , however it is believed since arsenate has no affinity for the sulfhydryl groups in PCs, As (V) is reduced in the cytoplasm, resulting in As(III)-PC complexes . Glutathione and PCs have been reported to form As(III)-tris-thiolate complexes in Brassica juncea upon exposure to As(V) . Therefore, PC synthesis causes a depletion of cellular glutathione, resulting in a decreased capacity to quench reactive oxygen species (ROS) .
Phytoremediation has emerged as an alternative technology for removing toxic metals from contaminated soils and groundwater. The potential for phytoremediation to be an effective means of removing arsenic from contaminated sites has been demonstrated in hyperaccumulators of the Pteris genus [13–15] and may be enhanced by a better understanding of plant transcriptional responses to arsenic. Many plant studies have demonstrated the direct involvement of thiol-containing molecules (glutathione, phytochelatins, etc.) in arsenic detoxification, however more robust approaches (i.e. microarrays) should help clarify how arsenic affects plant physiological processes on a global scale. The goals of our study were to test our hypothesis that many genes would be differentially expressed in response to arsenate stress and to identify genes as putative players in As (V) detoxification using Arabidopsis as a model. In this paper, we investigate the transcriptional responses to As (V) in Arabidopsis thaliana using oligonucleotide microarrays. Our results demonstrate that As (V) stress strongly induces Cu/Zn superoxide dismutase (SOD) activity, but represses the production of Fe SODs. Our microarray data also suggest the involvement of other antioxidant genes, various transcription factors, tonoplast proteins, and proteins associated with cell wall growth. Of particular interest, we report that As (V) stress represses numerous genes induced by Pi starvation. We discuss the physiological implications of these findings, and suggest new avenues for research of arsenic metabolism in plants.
Root growth under As (V) stress
Gene ontology for genes affected by As (V)
Gene ontology based on molecular function for induced genes of arsenic-treated Arabidopsis thaliana Columbia plants.
peroxidase 57 (PER57) (P57) (PRXR10)
superoxide dismutase [Cu-Zn], chloroplast
superoxide dismutase [Cu-Zn], (SODCC) (CSD1)
superoxide dismutase copper chaperone
Metal ion binding
metallothionein-like protein 1A, (MT-1A)
leucine-rich repeat transmembrane protein kinase
Cyclin-dependent protein kinase
non-symbiotic hemoglobin 1 (HB1) (GLB1)
ATPase, BadF/BadG/BcrA/BcrD-type family
glycosyl hydrolase family 1 protein
peptidyl prolyl cis-trans isomerase
ribulose bisphosphate carboxylase small chain 2B
ribulose bisphosphate carboxylase small chain 3B
Alcohol dehydrogenase activity
alcohol dehydrogenase (ADH)
Nitrate reductase activity
nitrate reductase 1 (NR1)
5'-adenylylsulfate reductase (APR3)
Molecular function unknown
Hypothetical protein related to GB:AAD15331
DREPP plasma membrane polypeptide-related
Pentatricopeptide repeat-containing protein
Meprin and TRAF domain-containing protein
Late embryogenesis abundant 3 family protein
Bet v 1 allergen family protein
Universal stress protein
Plasma membrane intrinsic protein 2B (PIP2B)
Tonoplast intrinsic protein gamma
Glutathione transferase activity
Glutathione S-transferase GST20; Tau class
Cell wall structure
Pumilio/Puf RNA-binding domain-containing protein
Drought-responsive protein (Di21)
Cytochrome B561 family protein
Amino acid biosynthesis
asparagine synthetase 2
Carbonic anhydrase activity
Carbonic anhydrase 1, chloroplast
Gene ontology based on molecular function for selected repressed genes of arsenic-treated Arabidopsis thaliana Columbia plants.
catalase 3 (SEN2)
superoxide dismutase [Fe], chloroplast
FAD-binding domain-containing protein
cytochrome p450 83B1
auxin-responsive family protein
Metal ion binding
calcium-binding EF hand family protein
C2-domain containing protein
ferritin 1 (FER 1)
zinc finger (C2H2 type) protein
zinc finger (C2H2 type) protein
zinc finger (C3HC4 type) protein
lipase class 3 family protein
invertase/pectin methylesterase family protein
protein phosphatase 2C
phosphoric monoester hydrolase
acid phosphatase type 5 (ACP5)
phosphoric monoester hydrolase
glycosyl hydrolase family 17 protein
glycosyl hydrolase family 17 protein
glycosyl hydrolase family 17 protein
glycosyl hydrolase family 36 protein
nudix hydrolase homolog 4
MERI-5 endo-xyloglucan transferase
calmodulin-binding family protein
ankyrin repeat family protein
mitochondrial substrate carrier family protein
polygalacturonase inhibitory protein
hevein-like protein (HEL)
legume lectin family protein
curculin-like lectin family protein
ATP-dependent Clp protease ATP-binding subunit
Jasmonic acid synthesis
allene oxide cyclase
vacuolar processing enzyme gamma
subtilase family protein
v-box domain-containing protein
asparagine synthetase 1
glutathione S-transferase (GSTF6); phi class
glutathione S-transferase (GSTF7); phi class
branched-chain amino acid amino transferase 2
Nutrient reservoir activity
serine/threonine protein kinase 19
Molecular function unknown
hypothetical protein no ATG start
expressed protein no ATG start
VQ motif-containing protein
integral membrane family protein
gibberellin-regulated protein (GASA1)
unknown protein – similar to glycosyltransferase
patatin-like protein 8
similar to LITAF-domain containing protein
Transcription factor activity
AP2 domain-containing transcription factor
zinc finger (C2H2 type) protein
zinc finger (C2H2 type) protein
WRKY family transcription factor 33
WRKY family transcription factor 53
WRKY family transcription factor 40
NAC domain-containing protein
senescence-associated family protein
senescence-associated protein (SEN1)
SRG3 (senescence-related gene 3)
MATE efflux family protein
monogalactosyldiacylglycerol synthase type C
cytochrome p450 family 94 subfamily B
Guanosine tetraphosphate metabolism
RSH 2 (RELA-SPOT HOMOLOG)
N-terminal protein myristoylation
band 7 family protein
Comparison of microarray expression data (significance criteria of P < 0.001 and FDR of 1%) with RT-PCR data from arsenate-treated Arabidopsis thaliana.
Cu Zn SOD (CSD2)
Cu Zn SOD Cu chaperone
Cu Zn SOD (CSD1)
Fe SOD (SODB)
phosphoric monoester hydrolase
MGDG synthase type C
acid phosphatase type 5 (ACP5)
phosphoric monoester hydrolase
serine/threonine protein kinase 19
senescence-related gene 3 (SRG3)
Our microarray experiment indicated that eight different genes encoding proteins with known transcription factor activity all displayed lower expression levels in As (V)-stressed plants (Table 2). One of these transcription factors (at1g12610) encodes a member of the DREB subfamily A-1 of the ERF/AP2 transcription factor family (DDF1). One other AP2-domain-containing transcription factor (at4g34410) that encodes a member of the ERF (ethylene response factor) subfamily B-3 of the ERF/AP2 transcription factor family was also repressed in response to As (V). Two zinc finger (C2H2 type) genes (at3g46090, at3g46080) encoded a ZAT7 and a protein similar to ZAT7, respectively. Also exhibiting lower expression in As (V)-treated plants were three members of the WRKY family of transcription factors (at2g38470, at4g23810, at1g80840), WRKY33, WRKY53, and WRKY40, respectively as well as one gene encoding NAC domain containing protein 81.
As (V) represses genes involved in phosphate starvation response
The role that thiol groups play in arsenic detoxification has been well characterized, therefore we expected to see induction of genes involved in sulfate assimilation and metabolism in response to arsenic stress. Ferredoxin (at1g10960), a key redox protein found in the chloroplast was As (V)-induced. Expression levels for another gene involved in the sulfate reduction pathway, 5'-adenylylsulfate reductase (APR3) (at4g21190) were also elevated in response to As (V) stress. This enzyme catalyzes the reduction of APS to sulfite using glutathione as an electron donor. Although not involved in sulfate assimilation, the cysteine-rich metal-binding protein, metallothionein (MT) 1A (at1g07600) was also induced. Arabidopsis knockout mutants that were generated for class 1 MTs accumulated significantly less aboveground As, Cd, and Zn, suggesting that class 1 MTs may play a role in metal and metalloid ion translocation .
Genes involved in cell wall assembly, architecture, and growth
A wide range of genes encoding proteins involved in cell wall activities exhibit altered expression levels in response to As (V) (Table 1; Table 2). Peroxidases, which were indicated by microarray as affected by As (V) stress, are known to strengthen the cell wall in response to biotic stress via formation of lignin, extension cross-links, and dityrosine bonds . Additionally, As (V) affected transcription of numerous xyloglucan endotransglucosylase/hydrolases (XTHs) and glycosyl hydrolase genes (Table 1; Table 2), with the majority of these exhibiting lower expression in the presence of As (V).
Arsenic and oxidative stress
Increasing evidence from mammalian studies demonstrates that ROS are generated in response to exposure to inorganic forms of arsenic [21–23]. The reduction of arsenic is linked with in vivo and in vitro ROS production in mammalian cells , but little is known about the mechanisms by which arsenic-induced ROS generation occurs in plants. It is believed that the reduction of As (V) to As (III), which is well documented in plants, results in the production of ROS [8, 24]. However, this increase in ROS may also be the result of either depletion of glutathione or inhibition of antioxidant enzymes. Plants have evolved both nonenzymatic antioxidants (i.e., glutathione, ascorbate, and carotenoids), as well as antioxidant enzymes (i.e., superoxide dismutases, catalases, and peroxidases) to manage the balance of ROS in the cell.
SODs represent a first line of defense by converting superoxide radicals to H202, whereas catalases and peroxidases remove H2O2. Three classes of SODs have been identified according to the active site metal cofactor: FeSOD, MnSOD, and Cu/ZnSOD. As (V) and As (III) were both shown to induce expression of glutathione S-transferases (GSTs), catalases, and SODs in Zea mays . An increase in SOD activity was correlated with an increase in As (V) treatment in Holcus lanatus . Higher levels of SOD, catalase, and ascorbate peroxidase were observed in Pteris vittata, an arsenic hyperaccumulator, than in arsenic-sensitive fern species Pteris ensiformis and Nephrolepsis exaltata . These researchers concluded that arsenic-induced increases in antioxidant enzymes levels may represent a secondary defensive mechanism against oxidative stress in Pteris vitatta and correspond with its arsenic accumulation and lack of toxicity symptoms. It was shown that Pteris vittata SOD, catalase, and peroxidase levels rose sharply in response to low levels of As (V), but leveled off at As (V) levels > 20 mg kg-1, which was consistent with changes in biomass in the arsenic hyperaccumulator .
Although the strong induction of SODs in response to As (V) stress was not surprising, the dramatically lower levels of FeSODs were unexpected. We suggest the involvement of an NAC domain-containing transcription factor to explain the observed decrease in FeSOD transcription based on our microarray results (Table 2). One group recently generated transgenic plants to overexpress three different Arabidopsis NAC transcription factors and identified NAC-dependent genes using microarrays . Not only was at4g25100 (FeSOD) expression found to be NAC-dependent, but transcription of other genes we have observed to be repressed by As (V) stress also appear to be dependent on NAC-domain containing transcription factors. We continue this discussion more thoroughly in the following section on transcription factors.
Peroxidases are functionally diverse and participate in two major cycles: the hydroxylic cycle where peroxidases regulate H2O2 levels and release ROS (·OH, HOO·) and the peroxidative cycle where various substrates (e.g. phenolic compounds) are oxidized or polymerized. Their involvement in a broad range of physiological processes allows peroxidase expression in all plant organs from germination to early senescence, however they are predominantly expressed in the roots . It is not surprising that peroxidases seem to be affected by arsenate stress (Table 1; Table 2), especially in consideration of the elevated SOD activity, which produces H2O2 as a product of superoxide radical dismutation.
Our microarray data corroborate those of Tran et al. , suggesting the involvement of a different NAC domain-containing transcription factor (at5g08790) in expression of FeSOD, as well as several other genes known to exhibit NAC-dependent expression. NAC proteins comprises a large gene family (> 100 members in Arabidopsis) of plant-specific transcription factors that have roles in wide-ranging processes such as development, defense, and abiotic stress response . Microarray experiments were carried out on NAC-overexpression Arabidopsis mutants to discover genes exhibiting dependence on NAC transcription factors for transcription . We speculate that repression of NAC81 (at5g08790) in As (V)-stressed Arabidopsis may be responsible for the observed repression of FeSOD (at4g25100), ferritin 1 (FER 1) (at5g01600), XTH15 (at4g14130), XTH24 (at4g30270), erd1 ATP-dependent Clp protease ATP-binding subunit (at5g51070), and a branched-chain amino acid amino transferase 2 (at1g10070), as these genes were reported as exhibiting NAC-dependent expression .
As (V) stress represses genes induced by Pi deprivation
Although phosphate is undoubtedly one of the most biologically important nutrients, its availability in soils is quite low. Therefore, plants have evolved mechanisms to maximize Pi accessibility/availability, such as increased root hair growth, lateral root branching, and induction of phosphate transporters and phosphatases . Certain phosphate starvation-induced genes have evolved to release phosphate from plasma membranes by hydrolyzing phospholipids under conditions of low Pi availability, as phospholipids comprise a major Pi pool in planta . Conversion from phospholipids to galactolipids is one such strategy and can result from the activity of monogalactosyldiacylglycerol (MGDG) synthase or digalactosyl diacylglycerol (DGDG) synthase . Arabidopsis plants expressing MGD2 and MGD3 promoter-GUS fusion constructs showed that under Pi starvation, MGD3::GUS was expressed in apices of serrated edges (hydathodes) and in the lateral root branch . Through investigation of Arabidopsis MGDG synthase gene expression under Pi starvation, these authors showed that global changes in plant membranes under Pi deprivation are tightly regulated by Pi signaling and that signal transduction through a Pi-sensing mechanism is responsible for regulating MGDG synthase gene expression . We report here that the expression of MGD3 (at2g11810) is lower in As (V)-treated Arabidopsis at 3 days and 10 days (Table 3; Figure 3). Therefore, it is conceivable that our observations may either reflect a Pi/As (V) sensing mechanism or simply the lower number of lateral roots in As (V)-stressed plants (Figure 1). SENESCENCE RELATED GENE 3 (SRG3; at3g02040), a glycerophosphoryl diester phosphor-diesterase, is believed to participate in processes similar to those of the MGDG synthase genes SRG3 had lower transcript abundance in As (V)-treated plants in our microarray study (along with other senescence-associated proteins) (Table 2), as well as, in 3 day and 10 day As (V)-treated plants (Table 3; Figure 3). A type 5 acid phosphatase (ACP5; at3g17790) was also repressed in our As (V)-treated plants as indicated by microarray (Table 2) and was strongly repressed in our qRT-PCR validation experiments at both 3 day and 10 day time points (Table 3; Figure 3). In Arabidopsis, ACP5 has been shown to be induced by H2O2, but not by paraquat or salicylic acid and is thought to be involved in both phosphate mobilization and in the metabolism of reactive oxygen species . In contrast, ACP5 was strongly repressed by As (V) despite elevated SOD levels, which generate H2O2. Therefore, further study is required to determine the specific cause of As (V)-mediated ACP5 repression.
Recent investigations into the genome-scale transcriptional changes to phosphate deprivation in Arabidopsis have elucidated a broad range of genes involved in phosphate metabolism [17, 18]. Our microarray data suggested that many genes repressed by As (V) stress have been reported by others [17, 18] to be induced in response to Pi deprivation in Arabidopsis thaliana. Because As (V) behaves as a phosphate analog, it is likely that this observation can be explained by a saturation effect of the phosphate analog, As (V), thereby misleading metabolic and regulatory perception of the toxic metalloid as an abundant supply of Pi. However, arsenate likely disrupts critical biological processes that involve reversible phosphorylation, as well as pathways for phosphate signaling, but even under arsenate stress, Arabidopsis accumulates much higher concentrations of As in the root than is translocated to the shoot. In another study, when wild-type (Columbia ecotype) Arabidopsis plants were grown on 100 μM sodium arsenate for 3 weeks, low concentrations of arsenic were accumulated in the shoot, whereas high concentrations of arsenic were observed in roots . However, when the arsenate reductase homolog (ACR2) was silenced, arsenate was translocated to the shoot at concentrations that classified as hyperaccumulation . Nevertheless, the signaling mechanisms by which plants distinguish between As (V) and phosphate are unknown and other mechanisms of As detoxification and storage besides the well documented phytochelatin response [9–12] may exist.
In order to confirm the observation that As (V) stress represses genes involved in phosphate starvation/acquisition, we performed qRT-PCR on some of the more interesting candidates (Table 3; Figure 3). We are particularly interested in elucidating pathways involved in As (V) signaling in plants. The P-type cyclin (at5g61650) that was affected by As (V) (Table 3; Figure 3) shares significant homology to the PHO80 gene from yeast. Cyclins bind and activate cyclin-dependent kinases, which play key roles in cell division via phosphorylation of critical substrates, such as the retinoblastoma protein, transcription factors, nuclear laminar proteins, and histones . Interestingly, it was demonstrated that expression of this cyclin from Arabidopsis restored the phosphate signaling pathway in a PHO80-deficient yeast mutant, suggesting a putative key Pi signaling role .
Protein kinases play crucial roles in signal transduction pathways in all eukaryotes . At3g08720 (ATPK19) is one of two nearly identical kinase genes in Arabidopsis that encode for proteins that share high sequence homology with the mammalian 40S ribosomal protein kinases S6K1 and S6K2 . ATPK19 was demonstrated to be the functional plant homolog of mammalian p70s6k when ectopic expression of this gene specifically phosphorylated ribosomal protein S6 derived from either plant or animal . ATPK19 has recently been implicated as a crucial nodal point in a network evolved for integrating stress signals with plant growth regulation . Lower expression levels observed for ATPK19 in As (V)-treated plants, which was most severe at day 3 (Table 3; Figure 3), lends us to conclude that As (V) stress may suppress plant growth through the downregulation of this growth-regulating kinase, possibly as a result of the chemical similarity between As (V) and phosphate. Alternatively, the downregulation of ATPK19 may result from the more general stress responses imposed by the toxic metalloid (e.g. oxidative stress, sulfhydryl group binding, etc.).
Our results are in agreement with the recently proposed ideas of Catarecha et al.  who studied an Arabidopsis mutant that displayed enhanced arsenic accumulation. These authors identified a Pi transporter (PHT1;1) mutant with a decreased rate of As (V) uptake and increased As (V) accumulation. By comparing gene expression of the mutant with wild-type plants, it was shown that in Arabidopsis, As (V) rapidly repressed genes involved in the Pi starvation response and induced the expression of other As (V)-responsive genes . Interestingly, the repression of Pi starvation genes was shown to be specific for As (V), whereas the As (V)-induced genes were also induced by As (III). A model resulted that suggests arsenic acts via two separate signaling pathways . Because of the chemical similarity of As (V) and Pi, As (V) fools the Pi sensor, thus initiating the repression of the Pi starvation response. Although our microarray experiments did not detect differential expression of any high-affinity Pi transporter, which may be due to differences in experimental approach, Catarecha et al.  illustrated the high sensitivity of the Pi transporter, PHT1;1, to As (V) and suggested that plants have evolved an As (V) sensing system whereby As (V) and Pi signaling pathways oppose each other to protect the plant from arsenic toxicity. Based on our results, it is conceivable that the P-type cyclin (at5g61650) and ATPK19 (at3g08720) may be involved in As (V) sensing, but further study is required to confirm this finding.
Our comparison of As (V)-repressed genes that have also been shown to be induced by Pi deprivation elucidate some promising candidates for future studies. For example, we are particularly interested in genes with unknown function that are strongly induced in both roots and leaves by Pi starvation (i.e. at1g73010; at1g17710; at2g04460; at5g20790; , supplemental data; ). Both at1g73010 and at1g17710 are described as phosphoric monoester hydrolases (see Availability and requirements section for URL), but to our knowledge, these have not been studied in this regard. Most recently, a study described gene networks for the Arabidopsis transcriptome based on the graphical Gaussian model of global-scale transcriptional studies . In a constructed subnetwork of genes involved in phosphate starvation, SRG3, at1g73010, at3g17790 (ACP5), at2g11810, and at5g20790 were all closely linked, suggesting their critical roles in phosphate metabolism in Arabidopsis . Based on their strong induction in response to Pi starvation [17, 18], it is reasonable to conceive that at1g73010 and at1g17710 have evolved as Pi scavengers for increasing Pi availability. We have confirmed the downregulation of these genes in response to As (V) at both 3 and 10 day time points (Table 3; Figure 3). In this study, at2g04460 transcript levels were strongly repressed at 3 and 10 day time points, whereas at5g20790 was repressed at day 3 and day 10 (Table 3; Figure 3). Interestingly, at2g04460 encodes for a putative retroelement pol polyprotein that has been reported as highly expressed in salt overly sensitive (sos) Arabidopsis mutants . Because the function of these two Pi starvation-induced genes is unknown, these putative gene candidates may provide opportunities for gaining insight into As (V)/Pi dynamics in Arabidopsis thaliana.
The data presented here have led to the development of new hypotheses for future research. The potential antagonistic effects of various arsenate and Pi concentrations on the expression of the aforementioned genes in Arabidopsis are poorly understood. Additionally, the efficiency of arsenate reduction and subsequent detoxification via phytochelatins or glutathione is poorly understood. Under conditions of arsenate stress (i.e., 100 μM), perhaps the cellular concentrations of arsenate surpass those that may be efficiently reduced by glutathione or arsenate reductase, thus allowing free arsenate to interfere with biological reactions that involve phosphate. Additionally, the selected arsenate concentration to employ in this study could have resulted in free arsenite after reduction in vivo that would likely have deleterious consequences. Therefore, it is reasonable to conceive that the observed transcriptional responses, as well as the impaired phenotype seen in this study, may be reflective of either arsenate, arsenite, or both.
Our data show that in Arabidopsis, Cu/Zn SODs are strongly induced in response to As (V) stress, while Fe SOD expression is repressed. We also demonstrate that As (V) stress results in the repression of genes involved in phosphate acquisition, redistribution, and phosphorylation, which supports a recent study  that suggests As (V) and Pi signaling pathways act in opposition to protect plant health. Although this study identifies some interesting targets for exploring As (V) metabolism, further studies using Arabidopsis mutants with altered expression of these genes are necessary to elucidate their biological significance, as well as to clarify new pathways involved in arsenic signaling in plants.
Plants and growth conditions
Seeds of Arabidopsis thaliana ecotype Columbia plants were surface sterilized and plated on agar-solidified MS culture medium supplemented with B5 vitamins, 10% sucrose, 2% Gelrite®, pH 5.8. Phosphate is supplied as 1.25 mM KH2PO4 in the culture medium. Arsenic-treated plates were supplemented with 100 μM potassium arsenate (Sigma) according to a previously determined sub-lethal growth response curve. Plates were cold stratified at 4°C for 24 hrs and then placed in a growth chamber at 25°C under a 16 hr photoperiod. At each time point (3 d, 10 d), 2 g of whole plant material (shoots + roots) was harvested from each plate, frozen in liquid nitrogen, and subjected to RNA isolation using Trizol® reagent (Invitrogen, Carlsbad, CA) according to manufacturer's protocol. A total of three biological replicates were assayed (3 control, 3 treated) where each pooled 2 g sample represented a single biological replicate.
Microarray experiments and aRNA labeling
Total RNA from six biological replicates were purified using RNeasy MiniElute columns (Qiagen, Valencia, CA). A total of 1.25 μg of purified total RNA was subjected to Aminoallyl Message Amp II kit (Ambion, Austin, TX) first strand cDNA synthesis, second strand synthesis, and in vitro transcription for amplified RNA (aRNA) synthesis. aRNA was purified according to manufacturers protocol (Ambion, Austin, TX) and quantified using a Nanodrop spectrophotometer. Two 4 μg samples of aRNA were labeled with Cy3 and Cy5 monoreactive dyes (Amersham Pharmacia, Pittsburgh, PA) in order to conduct a dye swap technical replicate for each biological replicate. Each aRNA sample was brought to dryness in a Speedvac and dissolved in 5 μL of 0.2 M NaHCO3 buffer. Five microliters of Cy3 or Cy5 (in DMSO) was added to each sample and incubated for 2 hrs in the dark at RT. Labeled aRNA was purified according to kit instructions (Ambion, Austin, TX) and quantified using the Nanodrop spectrophotometer. One-hundred pmol Cy3- and Cy5-labeled aRNA targets were denatured by incubating at 65°C for 5 min and added to a hybridization mix containing 9 μl 20× SSC, 5.4 μl Liquid Block (Amersham Pharmacia, Pittsburgh, PA), and 3.6 μl 2% SDS for a 90 μl total volume.
Hybridization and data analysis
Microarrays comprised of 70-mer oligonucleotides obtained from the University of Arizona (see Availability and requirements section for URL) were immobilized by rehydrating the slide over a 50°C waterbath for 10 s and snap drying on a 65°C heating block for 5 s for a total of four times. Slides were UV-crosslinked at 180 mJ in a UV cross-linker (Stratagene, La Jolla, CA). The slides were then washed in 1% SDS, dipped in 100% EtOH five times followed by 3 min shaking. Slides were spun dry at 1000 rpm for 2 minutes and immediately placed in a light-proof box. The 90 μl hybridization mix was pipetted onto a microarray slide underneath a lifterslip (Lifterslip, Portsmouth, NH) and placed in a hybridization chamber (Corning, Corning, NY) overnight at 55°C. After hybridization, slides were washed in 2× SSC, 0.5% SDS for 5 minutes at 55°C, 0.5× SSC for 5 minutes at room temperature, and 0.05× SSC for 5 minutes at room temperature. Slides were then spun dry at 1000 rpm in a Sorvall centrifuge and scanned with a GenePix 4000B scanner (Axon Instruments, Inc., Union City, CA). The intensity variation was removed by fitting a loess regression using SAS 9.1 (SAS, Cary, NC). Data were log-2 transformed and statistically analyzed using rank product statistics as described by  to identify differentially expressed genes. Bioconductor Rank Prod package was used to perform the rank product analysis [44, 45]. Significantly different genes reported in this study exhibited P < 0.001, as designated by the rank product analysis. The false discovery rate (FDR)  value obtained was based on 10,000 random permutations. Since 10,000 random permutations was very computer intensive, 1000 random permutations were performed 10 different times each time starting with a different random seed number and the average FDR value calculated was used for further analysis. The genes that had FDR values less than or equal to 0.01 were considered as differentially expressed. Data for all microarray experiments were submitted to the NCBI GEO microarray database and can be viewed under the accession GSE10425.
Microarray Data Quality Control
Global gene expression profiling comparing arsenate-treated Arabidopsis plants with control was carried out to better understand the mechanisms of plant response to arsenate stress and to identify genes involved in arsenic metabolism. For microarray data quality control, we examined both dye dependent effects and distribution of the ratio after normalization. We have included an additional file that illustrates the quality of microarray experiments, as well as the overall gene expression pattern [see Additional file 2]. Additional file 2a shows the normalized M vs. A plot, which was generated as a scatter plot of log intensity ratios M = log2 (R/G) versus average log intensities A = log2(R*G)/2, where R and G represent the fluorescence intensities in the Cy3 and Cy5 channels, respectively . As shown by the figure, Loess normalization effectively removed dye dependent effects in the microarray and rendered evenly distributed ratios across all signal intensities. The histogram suggests a normal distribution of the logarithm 2-based transformed ratio [see Additional file 2b]. Overall, the microarray experiments generated high quality data without significant dye-dependent effects and skewness of ratio distribution.
Gene ontology analysis
Gene ontology annotations were translated from microarray data using the GO annotations bioinformatics tool available at The Arabidopsis Information Resource Web site http://www.arabidopsis.org/tools/ where results were based on molecular function.
Total RNA was extracted from Arabidopsis thaliana ecotype Columbia grown for ten days as described for the microarray experiment. Five micrograms of total RNA was reverse-transcribed with oligo(dT)20 primers using the Superscript III first-strand cDNA synthesis kit (Invitrogen, Carlsbad, CA). RT PCR was performed using the ABI 7000 Sequence Detection System (Applied Biosystems, Foster City, CA). PCR was performed in a 15 μl reaction volume containing Power Sybr® PCR mix (Applied Biosystems, Foster City, CA) and gene-specific primers were designed with PrimerExpress software. Actin was used as the reference gene, and the primer sequences for Arabidopsis actin gene were AGTGGTCGTACAACCGGTATTGT (F) and GAGGAAGAGCATTCCCCTCGTA (R). After the RT PCR experiment, Ct number was extracted for both reference gene and target gene with auto baseline and manual threshold.
The cluster analysis was conducted with MultiExperiment viewer Version 4.0 (TIGR, Rockville, MD) with logarithm 2 transformed ratio of treated vs. control samples from real-time PCR. The complete linkage hierarchical cluster was used to cluster the genes only. The color scheme is as shown in the figure, with repressed genes shown as green and red color indicating induced genes.
SOD activity assay
Total soluble protein was extracted from whole Arabidopsis plants (root + shoot) grown on plates as described above that were harvested at each respective time point. Total soluble protein was quantified by the method of Bradford  using BSA as a standard and 50 μg samples were loaded. Bovine SOD (Sigma) was used in each gel to serve as a positive control for SOD activity. Following electrophoretic separation on a 10% non-denaturing polyacrylamide gel, SOD activity was determined as described by Beauchamp and Fridovich (1971) and modified by Azevedo et al. . The gels were rinsed with DDI water and incubated in the dark for 30 min at room temperature in a reaction mixture containing 50 mM potassium phosphate buffer (pH 7.8), 1 mM EDTA, 0.05 mM riboflavin, 0.1 mM nitroblue tetrazolium and 0.3% (v/v) TEMED. Following incubation, gels were rinsed with DDI water and illuminated in water until SOD bands were visible. The gels were then immersed in a 6% (v/v) acetic acid solution to stop the reaction. To confirm specificity of Cu/Zn-SOD activity, H202 and KCN were used as inhibitors as described by Azevedo et al.  and modified by Vitoria et al. . Mn-SOD is resistant to both inhibitors, Fe-SOD is resistant to KCN and inhibited by H202, and Cu/Zn-SOD is inhibited by both inhibitors, thus allowing classification of SOD activity. Prior to SOD staining, gels containing lanes in triplicate were cut into three parts; one gel was treated as described above, the second and third parts were incubated for 20 min in 100 mM potassium phosphate buffer (pH 7.8) containing either 2 mM KCN or 5 mM H2O2, respectively. Following incubation, gels were rinsed with DDI water and then stained for SOD activity.
Availability and requirements
US Environmental Protection Agency: http://www.atsdr.cdc.gov/cercla/05list.html
University of Arizona: http://ag.arizona.edu/microarray/
The Arabidopsis Information Resource: http://www.arabidopsis.org/tools/
We appreciate our collaborators at Edenspace Systems Corporation for their valuable cooperation, especially, Mark Elless, David Lee, and Bruce Ferguson. We thank Laura Abercrombie and Reggie Millwood for technical assistance. Funding was provided by NIH and NSF grants as well as the Tennessee Agriculture Experiment Station and the Ivan Racheff Endowment. We would also like to thank the BMC Plant Biology editors and 4 anonymous reviewers for their thorough reviews and constructive criticism of this manuscript.
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