ArticlePlant signaling & behavior2010
Identification and prediction of abiotic stress responsive transcription factors involved in abiotic stress signaling in soybean.
Article in Plant signaling & behavior, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 57 citations in OpenAlex.
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- Towards Exploitation of Adaptive Traits for Climate-Resilient Smart Pulses.International journal of molecular sciences · 2019Review
- Transcriptional alterations during proliferation and lignification in Phyllostachys nigra cells.Scientific reports · 2018Article
- Transcriptome analysis of two contrasting rice cultivars during alkaline stress.Scientific reports · 2018Article
- Drought stress impact on leaf proteome variations of faba bean (3 Biotech · 2018Article
- Bioinformatics Approach in Plant Genomic Research.Current genomics · 2016Article
- Leaf Proteome Analysis Reveals Prospective Drought and Heat Stress Response Mechanisms in Soybean.BioMed research international · 2016Article
- Global analysis of WRKY transcription factor superfamily in Setaria identifies potential candidates involved in abiotic stress signaling.Frontiers in plant science · 2015Article
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- Virus-induced gene silencing is a versatile tool for unraveling the functional relevance of multiple abiotic-stress-responsive genes in crop plants.Frontiers in plant science · 2014Review
- TreeTFDB: an integrative database of the transcription factors from six economically important tree crops for functional predictions and comparative and functional genomics.DNA research : an international journal for rapid publication of reports on genes and genomes · 2013Article
- STIFDB2: an updated version of plant stress-responsive transcription factor database with additional stress signals, stress-responsive transcription factor binding sites and stress-responsive genes in Arabidopsis and rice.Plant & cell physiology · 2013Article
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Abiotic stresses such as extreme temperature, drought, high salinity, cold and waterlogging often result in significant losses to the yields of economically important crops such as soybean (Glycine max L.). Transcription factors (TFs) which bind to DNA through specific cis-regulatory sequences either activate or repress gene transcription have been reported to act as control switches in stress signaling. Recent completion of the soybean genomic sequence has open wide opportunities for large-scale identification and annotations of regulatory TFs in soybean for functional studies. Within the soybean genome, we identified 5,035 TF models which grouped into 61 families. Detailed annotations of soybean TF genes can be accessed at SoybeanTFDB (soybeantfdb.psc.riken.jp). Moreover, we have reported a new idea of high throughput prediction and selection of abiotic stress responsive TFs based on the existence of known stress responsive cis-element(s) located in the promoter regions of respective TFs and GO annotations. We, therefore, have provided a basic platform for the genome-wide analysis of regulatory mechanisms underlying abiotic stress responses and a reliable tool for prediction and selection of stress responsive TFs for further functional studies and genetic engineering.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.