Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Daytime soybean transcriptome fluctuations during water deficit stress

ABSTRACT: By sequencing 36 cDNA libraries with Illumina technology, we identified genes differentially expressed in soybean plants in response to water deficit and genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes (Glyma v1.1), 35.52% exhibited expression oscillations in a 24 h period. This number increased to 39.23% when plants were submitted to water deficit. Major differences in gene expression were observed in the control plants from late day (ZT16) until predawn (ZT20) periods, indicating that gene expression oscillates during the course of 24 h in normal development. Under water deficit, dissimilarity increased in all time-periods, indicating that the applied stress influenced gene expression. Results suggest that time of day, as well as light and temperature oscillations that occur considerably affect the regulation of water deficit stress response in soybean plants. Gene expression analysis of soybean leaves under water deficit in 6 periods of day by sequencing 36 libraries, in triplicate, in Illumina platform.

ORGANISM(S): Glycine max

SUBMITTER: Alexandre Nepomuceno

PROVIDER: E-GEOD-69469 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Daytime soybean transcriptome fluctuations during water deficit stress.

Rodrigues Fabiana Aparecida FA Fuganti-Pagliarini Renata R Marcolino-Gomes Juliana J Nakayama Thiago Jonas TJ Molinari Hugo Bruno Correa HB Lobo Francisco Pereira FP Harmon Frank G FG Nepomuceno Alexandre Lima AL

BMC genomics 20150707

<h4>Background</h4>Since drought can seriously affect plant growth and development and little is known about how the oscillations of gene expression during the drought stress-acclimation response in soybean is affected, we applied Illumina technology to sequence 36 cDNA libraries synthesized from control and drought-stressed soybean plants to verify the dynamic changes in gene expression during a 24-h time course. Cycling variables were measured from the expression data to determine the putative ...[more]

PMID: 26149272

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Project description:Purpose: to screen the candidate genes involved in the peanut drought stress response, we conducted global transcriptome analysis of peanut plants challenged with water deficit and ABA, using the Illumina HiSeq2000 sequencing platform. Methods: a sequences library of Yueyou7 were constructed at first. Then the profile of diffentialy expressed genes (DEGs) under three different treatments (control, water deficit without ABA, and water deficit with ABA) were conducted based on above sequence library. For sequencing library construction, plants were grown under normal conditions, as described previously , Seeds were planted in soil and kep in the greenhouse at temperature of 25-30M-bM-^DM-^C and water well. Three tissues (leaves, roots, and stems) were collected at three development stages (four-leaf, flowering and podding stages), respectively. Then all of these tissues were mixed to extract the total RNA for sequence library construction. For DEGs study, two-week-old plants were divided into three groups with three independent replication: (1). Water deficit without ABA groups. Plants directly steeped in water containing 30% PEG600 for 30 min in this groups. (2) Water deficit with ABA groups. Plant was subjected to 100 M-BM-5mol/L ABA for 30 min and then steeped in water containing 30% PEG6000 for 30 min in this groups, (3) Control. Plants steeped in H2O. All treatments were conducted in parallel. After treatments, Total RNA was extracted from 100 mg of plant material, and RNA integrity was checked by gel electrophoresis. Also RNA quality was checked and RNA was quantified using the Agilent 2100 Bioanalyzer (Agilent technologies, Santa Clara, CA) and Nanodrop ND-1000 (Thermo Scientific, Waltham, USA). Results: we generated 4.96M-CM-^W107 raw sequence reads and assembled the high quality reads into 92,390 unique genes. Compared with the control, we found that 621 genes (M-bM-^IM-%1.5 fold change) responded rapidly to water deficit and 2665 genes (M-bM-^IM-%1.5 fold change) responded rapidly to ABA. We found 279 genes that overlapped between water deficit and ABA responses, 264 genes that showed the same trend in expression while 15 genes expression that showed opposite trend. Among the identified genes, 257 showed high induction by ABA (>5 fold), and 19 showed high induction by drought (>5 fold). In addition, we identified 100 transcription factor genes among the ABA-inducible genes but only 22 transcription factor genes among the water deficit-inducible genes. Conclusions: we identified genes differentially expressed in the early response to water deficit or ABA. These genes were annotated with GO functional categories for water deficit (33 categories) or ABA (31 categories). We found that only 19 genes were highly induced by water deficit, but 257 genes were highly induced by ABA. Our previous work has examined many of these genes and our future work will reveal their functions and relationships. These data will facilitate functional genomic studies and have established a biotechnological platform for examination of the early drought- and ABA-responsive transcriptome regulatory network in peanut. Two-week-old plants were divided into three groups with three independent replication: (1). Water deficit without ABA groups. Plants directly steeped in water containing 30% PEG600 for 30 min in this groups. (2) Water deficit with ABA groups. Plant was subjected to 100 M-BM-5mol/L ABA for 30 min and then steeped in water containing 30% PEG6000 for 30 min in this groups, (3) Control. Plants steeped in H2O. All treatments were conducted in parallel.

Project description:Whole-genome duplication, or polyploidy, is common in many plant species and often leads to better adaptation to adverse environmental condition. However, little is known about the physiological and molecular determinants underlying adaptation. We examined the drought tolerance in diploid (2x) and autotetraploid (4x) clones of Rangpur lime (Citrus limonia) rootstocks grafted with 2x Valencia Delta sweet orange (Citrus sinensis) scions, named V/2xRL and V/4xRL, respectively. Physiological experiments to study root-shoot communication associated with gene expression studies in roots and leaves were performed. V/4xRL was much more tolerant to water deficit than V/2xRL. Gene expression analysis in leaves and roots showed that more genes related to the response to water stress were differentially expressed in V/2xRL than in V/4xRL. Prior to the stress, when comparing V/4xRL to V/2xRL, V/4xRL leaves had lower stomatal conductance and greater abscisic acid (ABA) content. In roots, ABA content was higher in V/4xRL and was associated to a greater expression of drought responsive genes, including CsNCED1, a pivotal regulatory gene of ABA biosynthesis. We conclude that tetraploidy modifies the expression of genes in citrus roots to regulate long-distance ABA signaling and adaptation to stress. Transcriptional profiling of sweet orange (Citrus sinensis) scion leaves comparing control untreated with water deficit conditions. We examined the drought tolerance in diploid (2x) and autotetraploid (4x) clones of Rangpur lime (Citrus limonia) rootstocks grafted with 2x Valencia Delta sweet orange (Citrus sinensis) scions, named V/2xRL and V/4xRL, respectively. Physiological studies showed that V/4xRL was much more tolerant to water deficit than V/2xRL. Global gene expression changes induced by water deficit were monitored in the leaves of V/2xRL and V/4xRL by microarray hybridization. The Citrus genome-wide cDNA microarray was used, which includes 21,081 putative unigenes described in Martinez-Godoy et al. (2008). Two independent microarray hybridization experiments with leaves of the 2x Valencia Delta orange alternatively grafted onto 2x or 4x RL rootstocks were respectively performed. For each experiment, the Cy-labelled cDNA of control leaves was hybridized with labelled cDNA from water-stressed samples. To avoid Cy3 and CY5 dye-related artefacts, control and water-stressed cDNA samples were dye-swapped and used to hybridize four slides corresponding to different combinations of the four biological replicates obtained from every treatment. The microarray hybridizations were performed according to Allario et al. (2011). A GenePix 4000B microarray scanner (Axon Instruments, Inc.) and the GenePix Pro 4.1 acquisition software were used to scan the chips at 5-10 M-BM-5m resolution. Photomultiplier gains for the two channels were adjusted so that the ratio of total intensities was approximately 1 and the percentage of saturated spots was about 1%. High-resolution tiff images were generated and used for quantification of gene expression data. Spot positions were identified on the colour images and quality flags were assigned to individual spots both automatic and manually. Only spots with background-subtracted foreground intensity greater than two in at least one channel were used, and only microarrays with optimal hybridization data were pre-processed and normalized for further analyses. Raw data were imported into the R computing environment for pre-processing, visualization, and statistical analysis. To identify probes showing significant differential gene expression between samples, the Linear Models in Microarrays (LIMMA; Smyth, 2005) software package was used. Pre-processing and normalization of two-color microarray data including signal intensity, background correction, uniformity of the expression ratio over the chip surface (within-array normalization), and normality of M-value distributions were evaluated according to Smyth and Speed (2003). M-value was defined as the logarithm in base-2 of water-deficit versus control expression ratio. Reproducibility between replicates that were assessed indicated that the experimental system provided consistent signals in spots corresponding to the same gene and acceptable low variability between biological replicates (not shown). P-values associated to the statistical analysis of differential expression obtained from Limma analysis are corrected for multiple comparisons using the Benjamini-Hochberg false discovery rate (FDR) procedure (Benjamini & Hochberg, 1995). Differences in gene expression were considered to be significant when the M-value was higher than 0.7 (absolute value) and the FDR-adjusted P-value was smaller than 0.05.

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Daytime soybean transcriptome fluctuations during water deficit stress

Publications

Daytime soybean transcriptome fluctuations during water deficit stress.

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