Dataset Information

Genome-wide expression profiling of soybean two-component system genes in soybean root and shoot tissues under dehydration stress.

ABSTRACT: Two-component systems (TCSs) play vital functions in the adaptation of plants to environmental stresses. To identify soybean TCS genes involved in the regulation of drought stress response, we performed tissue-specific expression profiling of all 83 putative TCS genes in plants subjected to dehydration. Under well-watered conditions, the majority of soybean TCS genes were expressed higher in the root tissues. Additionally, a high variability in transcript abundance was observed for the TCS genes in both roots and shoots. Under dehydration, TCS genes were more responsive in shoots than in roots. Further analysis indicated that 50% more TCS genes were repressed by dehydration than induced. Specifically, 18 genes were induced by 2-fold or more, whereas 33 genes were down-regulated at least 2-fold by dehydration. TCS genes putatively involved in cytokinin and ethylene signallings strongly responded to dehydration, suggesting that crosstalk exists between different hormonal and stress pathways. Our study provides the first glance into the complex regulatory roles of soybean TCSs underlying their functions in response to dehydration. Additionally, these systematic expression analyses identified excellent dehydration-responsive candidate genes to further clarify soybean TCS functions in drought response and to enable the development of improved drought tolerance in transgenic soybeans.

SUBMITTER: Le DT

PROVIDER: S-EPMC3041507 | biostudies-literature | 2011 Feb

REPOSITORIES: biostudies-literature

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Genome-wide expression profiling of soybean two-component system genes in soybean root and shoot tissues under dehydration stress.

Le Dung Tien DT Nishiyama Rie R Watanabe Yasuko Y Mochida Keiichi K Yamaguchi-Shinozaki Kazuko K Shinozaki Kazuo K Tran Lam-Son Phan LS

DNA research : an international journal for rapid publication of reports on genes and genomes 20110104 1

Two-component systems (TCSs) play vital functions in the adaptation of plants to environmental stresses. To identify soybean TCS genes involved in the regulation of drought stress response, we performed tissue-specific expression profiling of all 83 putative TCS genes in plants subjected to dehydration. Under well-watered conditions, the majority of soybean TCS genes were expressed higher in the root tissues. Additionally, a high variability in transcript abundance was observed for the TCS genes ...[more]

PMID: 21208938

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Project description:BackgroundSoybean is an important crop that provides valuable proteins and oils for human use. Because soybean growth and development is extremely sensitive to water deficit, quality and crop yields are severely impacted by drought stress. In the face of limited water resources, drought-responsive genes are therefore of interest. Identification and analysis of dehydration- and rehydration-inducible differentially expressed genes (DEGs) would not only aid elucidation of molecular mechanisms of stress response, but also enable improvement of crop stress tolerance via gene transfer. Using Digital Gene Expression Tag profiling (DGE), a new technique based on Illumina sequencing, we analyzed expression profiles between two soybean genotypes to identify drought-responsive genes.ResultsTwo soybean genotypes - drought-tolerant Jindou21 and drought-sensitive Zhongdou33 - were subjected to dehydration and rehydration conditions. For analysis of DEGs under dehydration conditions, 20 cDNA libraries were generated from roots and leaves at two different time points under well-watered and dehydration conditions. We also generated eight libraries for analysis under rehydration conditions. Sequencing of the 28 libraries produced 25,000-33,000 unambiguous tags, which were mapped to reference sequences for annotation of expressed genes. Many genes exhibited significant expression differences among the libraries. DEGs in the drought-tolerant genotype were identified by comparison of DEGs among treatments and genotypes. In Jindou21, 518 and 614 genes were differentially expressed under dehydration in leaves and roots, respectively, with 24 identified both in leaves and roots. The main functional categories enriched in these DEGs were metabolic process, response to stresses, plant hormone signal transduction, protein processing, and plant-pathogen interaction pathway; the associated genes primarily encoded transcription factors, protein kinases, and other regulatory proteins. The seven most significantly expressed (|log2 ratio| ≥ 8) genes - Glyma15g03920, Glyma05g02470, Glyma15g15010, Glyma05g09070, Glyma06g35630, Glyma08g12590, and Glyma11g16000 - are more likely to determine drought stress tolerance. The expression patterns of eight randomly-selected genes were confirmed by quantitative RT-PCR; the results of QRT-PCR analysis agreed with transcriptional profile data for 96 out of 128 (75%) data points.ConclusionsMany soybean genes were differentially expressed between drought-tolerant and drought-sensitive genotypes. Based on GO functional annotation and pathway enrichment analysis, some of these genes encoded transcription factors, protein kinases, and other regulatory proteins. The seven most significant DEGs are candidates for improving soybean drought tolerance. These findings will be helpful for analysis and elucidation of molecular mechanisms of drought tolerance; they also provide a basis for cultivating new varieties of drought-tolerant soybean.

Project description:Drought is a significant constraint to yield increase in soybean. The early perception of water deprivation is critical for recruitment of genes that promote plant tolerance. DeepSuperSAGE libraries, including one control and a bulk of six stress times imposed (from 25 to 150 min of root dehydration) for drought-tolerant and sensitive soybean accessions, allowed to identify new molecular targets for drought tolerance. The survey uncovered 120,770 unique transcripts expressed by the contrasting accessions. Of these, 57,610 aligned with known cDNA sequences, allowing the annotation of 32,373 unitags. A total of 1,127 unitags were up-regulated only in the tolerant accession, whereas 1,557 were up-regulated in both as compared to their controls. An expression profile concerning the most representative Gene Ontology (GO) categories for the tolerant accession revealed the expression "protein binding" as the most represented for "Molecular Function", whereas CDPK and CBL were the most up-regulated protein families in this category. Furthermore, particular genes expressed different isoforms according to the accession, showing the potential to operate in the distinction of physiological behaviors. Besides, heat maps comprising GO categories related to abiotic stress response and the unitags regulation observed in the expression contrasts covering tolerant and sensitive accessions, revealed the unitags potential for plant breeding. Candidate genes related to "hormone response" (LOX, ERF1b, XET), "water response" (PUB, BMY), "salt stress response" (WRKY, MYB) and "oxidative stress response" (PER) figured among the most promising molecular targets. Additionally, nine transcripts (HMGR, XET, WRKY20, RAP2-4, EREBP, NAC3, PER, GPX5 and BMY) validated by RT-qPCR (four different time points) confirmed their differential expression and pointed that already after 25 minutes a transcriptional reorganization started in response to the new condition, with important differences between both accessions.

Project description:Soybean is a major crop that provides an important source of protein and oil to humans and animals, but its production can be dramatically decreased by the occurrence of drought stress. Soybeans can survive drought stress if there is a robust and deep root system at the early vegetative growth stage. However, little is known about the genome-wide molecular mechanisms contributing to soybean root system architecture. This study was performed to gain knowledge on transcriptome changes and related molecular mechanisms contributing to soybean root development under water limited conditions.The soybean Williams 82 genotype was subjected to very mild stress (VMS), mild stress (MS) and severe stress (SS) conditions, as well as recovery from the severe stress after re-watering (SR). In total, 6,609 genes in the roots showed differential expression patterns in response to different water-deficit stress levels. Genes involved in hormone (Auxin/Ethylene), carbohydrate, and cell wall-related metabolism (XTH/lipid/flavonoids/lignin) pathways were differentially regulated in the soybean root system. Several transcription factors (TFs) regulating root growth and responses under varying water-deficit conditions were identified and the expression patterns of six TFs were found to be common across the stress levels. Further analysis on the whole plant level led to the finding of tissue-specific or water-deficit levels specific regulation of transcription factors. Analysis of the over-represented motif of different gene groups revealed several new cis-elements associated with different levels of water deficit. The expression patterns of 18 genes were confirmed byquantitative reverse transcription polymerase chain reaction method and demonstrated the accuracy and effectiveness of RNA-Seq.The primary root specific transcriptome in soybean can enable a better understanding of the root response to water deficit conditions. The genes detected in root tissues that were associated with key hormones, carbohydrates, and cell wall-related metabolism could play a vital role in achieving drought tolerance and could be promising candidates for future functional characterization. TFs involved in the soybean root and at the whole plant level could be used for future network analysis between TFs and cis-elements. All of these findings will be helpful in elucidating the molecular mechanisms associated with water stress responses in soybean roots.

Dataset Information

Genome-wide expression profiling of soybean two-component system genes in soybean root and shoot tissues under dehydration stress.

Publications

Genome-wide expression profiling of soybean two-component system genes in soybean root and shoot tissues under dehydration stress.

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