ArticleGenomics data2015
Transcriptomics analyses of soybean leaf and root samples during water-deficit.
Article in Genomics data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Drought Stress Induced Different Response Mechanisms in Three Dendrobium Species under Different Photosynthetic Pathways.International journal of molecular sciences · 2024Article
- Phenotypic and transcriptomic responses of cultivated sunflower seedlings (Helianthus annuus L.) to four abiotic stresses.PloS one · 2022Article
- Genome-wide characterization and expression analysis of TOPP-type protein phosphatases in soybean (Glycine max L.) reveal the role of GmTOPP13 in drought tolerance.Genes & genomics · 2021Article
- 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
- Comparative Metabolome Profile between Tobacco and Soybean Grown under Water-Stressed Conditions.BioMed research international · 2017Article
- Genome-wide Identification and Structural, Functional and Evolutionary Analysis of WRKY Components of Mulberry.Scientific reports · 2016Article
- A toolbox of genes, proteins, metabolites and promoters for improving drought tolerance in soybean includes the metabolite coumestrol and stomatal development genes.BMC genomics · 2016Article
- Understanding Water-Stress Responses in Soybean Using Hydroponics System-A Systems Biology Perspective.Frontiers in plant science · 2015Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drought being a major challenge for crop productivity and yield affects multigenic and quantitative traits. It is also well documented that water stress shows a cross talk with other abiotic stresses such as high temperature and high light intensities (Tripathi et al., 2013) [1]. In this report, we documented the details of the methods and quality controls used and considered in our time course-based transcriptome profile of soybean plants under water deficit conditions using microarray technology. The findings of this study are recently published by the Rushton lab in BMC Genomics for a comparative study of tobacco and Soybean (Rabara et al., 2015) [2]. The raw microarray data set is deposited in GEO database with accession number GSE49537.
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