ArticleBMC genomics2015
Daytime soybean transcriptome fluctuations during water deficit stress.
Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 88 citations in OpenAlex.
- Using landscape genomics to infer genomic regions involved in environmental adaptation of soybean genebank accessions.BMC plant biology · 2025Article
- The impact of Bisphenol A on the endophytic bacterial community and transcriptome of soybean seedlings.iScience · 2025Article
- Application of electronic nose and machine learning used to detect soybean gases under water stress and variability throughout the daytime.Frontiers in plant science · 2024Article
- Identification of the global diurnal rhythmic transcripts, transcription factors and time-of-day specific cis elements in Chenopodium quinoa.BMC plant biology · 2023Article
- The Hidden Potential of High-Throughput RNA-Seq Re-Analysis, a Case Study for DHDPS, Key Enzyme of the Aspartate-Derived Lysine Biosynthesis Pathway and Its Role in Abiotic and Biotic Stress Responses in Soybean.Plants (Basel, Switzerland) · 2022Article
- Identification of QTN-by-environment interactions and their candidate genes for soybean seed oil-related traits using 3VmrMLM.Frontiers in plant science · 2022Article
- TinkeringInternational journal of molecular sciences · 2020Article
- Differential gene expression in response to water deficit in leaf and root tissues of soybean genotypes with contrasting tolerance profiles.Genetics and molecular biology · 2020Article
- Overexpression of AtNCED3 gene improved drought tolerance in soybean in greenhouse and field conditions.Genetics and molecular biology · 2020Article
- Comprehensive mapping of abiotic stress inputs into the soybean circadian clock.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Accelerating Soybean Breeding in a CO2-Supplemented Growth Chamber.Plant & cell physiology · 2019Article
- A Dehydration-Induced Eukaryotic Translation Initiation Factor iso4G Identified in a Slow Wilting Soybean Cultivar Enhances Abiotic Stress Tolerance inFrontiers in plant science · 2018Article
- Temporal network analysis identifies early physiological and transcriptomic indicators of mild drought ineLife · 2017Article
- Metabolomic Profiling of Soybeans (Glycine max L.) Reveals the Importance of Sugar and Nitrogen Metabolism under Drought and Heat Stress.Plants (Basel, Switzerland) · 2017Article
- Article
- Functional Characterization of a PutativeFrontiers in plant science · 2017Article
- Transcriptome-Wide Identification of Reference Genes for Expression Analysis of Soybean Responses to Drought Stress along the Day.PloS one · 2015Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundSince 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 circadian rhythm regulation of gene expression.
resultsWe identified 4866 genes differentially expressed in soybean plants in response to water deficit. Of these genes, 3715 were differentially expressed during the light period, from which approximately 9.55% were observed in both light and darkness. We found 887 genes that were either up- or down-regulated in different periods of the day. Of 54,175 predicted soybean genes, 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. Such differences in plants under stress were primarily observed in ZT0 (early morning) to ZT8 (late day) and also from ZT4 to ZT12. Stress-related pathways were triggered in response to water deficit primarily during midday, when more genes were up-regulated compared to early morning. Additionally, genes known to be involved in secondary metabolism and hormone signaling were also expressed in the dark period.
conclusionsGene expression networks can be dynamically shaped to acclimate plant metabolism under environmental stressful conditions. We have identified putative cycling genes that are expressed in soybean leaves under normal developmental conditions and genes whose expression oscillates under conditions of water deficit. These 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.
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