ArticlePloS one2012
Identification of rice transcription factors associated with drought tolerance using the Ecotilling method.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 67 citations in OpenAlex.
- Transcriptomic and co-expression network analyses on diverse wheat landraces identifies candidate master regulators of the response to early drought.Frontiers in plant science · 2023Article
- Molecular Events of Rice AP2/ERF Transcription Factors.International journal of molecular sciences · 2022Review
- Genome-Wide Identification and Expression Analysis of the Zinc Finger Protein Gene Subfamilies under Drought Stress inPlants (Basel, Switzerland) · 2022Article
- Unraveling novel and rare mutations for alpha-amylase and key transcription factors in EMS-induced wheat mutants for amylose by TILLING.Molecular biology reports · 2022Article
- Reverse genetic approaches for breeding nutrient-rich and climate-resilient cereal and food legume crops.Heredity · 2022Article
- Accurate, Efficient and User-Friendly Mutation Calling and Sample Identification for TILLING Experiments.Frontiers in genetics · 2021Article
- Using Network-Based Machine Learning to Predict Transcription Factors Involved in Drought Resistance.Frontiers in genetics · 2021Article
- PANOMICS meets germplasm.Plant biotechnology journal · 2020Review
- A novel rice grain size gene OsSNB was identified by genome-wide association study in natural population.PLoS genetics · 2019Article
- Physiological and Metabolic Responses of Rice to Reduced Soil Moisture: Relationship of Water Stress Tolerance and Grain Production.International journal of molecular sciences · 2019Article
- Article
- Plant-associated bacteria mitigate drought stress in soybean.Environmental science and pollution research international · 2018Article
- Milestones achieved in response to drought stress through reverse genetic approaches.F1000Research · 2018Review
- Comparative Analysis of Expression Profiles of Panicle Development among Tolerant and Sensitive Rice in Response to Drought Stress.Frontiers in plant science · 2017Article
- EcoTILLING revealed SNPs in GhSus genes that are associated with fiber- and seed-related traits in upland cotton.Scientific reports · 2016Article
- EcoTILLING-Based Association Mapping Efficiently Delineates Functionally Relevant Natural Allelic Variants of Candidate Genes Governing Agronomic Traits in Chickpea.Frontiers in plant science · 2016Article
- Tomato Fruits Show Wide Phenomic Diversity but Fruit Developmental Genes Show Low Genomic Diversity.PloS one · 2016Article
- Network Candidate Genes in Breeding for Drought Tolerant Crops.International journal of molecular sciences · 2015Review
- Physiological, anatomical and transcriptional alterations in a rice mutant leading to enhanced water stress tolerance.AoB PLANTS · 2015Article
- The potential of transcription factor-based genetic engineering in improving crop tolerance to drought.Omics : a journal of integrative biology · 2014Review
Corrections and comments
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The drought tolerance (DT) of plants is a complex quantitative trait. Under natural and artificial selection, drought tolerance represents the crop survival ability and production capacity under drought conditions (Luo, 2010). To understand the regulation mechanism of varied drought tolerance among rice genotypes, 95 diverse rice landraces or varieties were evaluated within a field screen facility based on the 'line-source soil moisture gradient', and their resistance varied from extremely resistant to sensitive. The method of Ecotype Targeting Induced Local Lesions in Genomes (Ecotilling) was used to analyze the diversity in the promoters of 24 transcription factor families. The bands separated by electrophoresis using Ecotilling were converted into molecular markers. STRUCTURE analysis revealed a value of K = 2, namely, the population with two subgroups (i.e., indica and japonica), which coincided very well with the UPGMA clusters (NTSYS-pc software) using distance-based analysis and InDel markers. Then the association analysis between the promoter diversity of these transcription factors and the DT index/level of each variety was performed. The results showed that three genes were associated with the DT index and that five genes were associated with the DT level. The sequences of these associated genes are complex and variable, especially at approximately 1000 bp upstream of the transcription initiation sites. The study illuminated that association analysis aimed at Ecotilling diversity of natural groups could facilitate the isolation of rice genes related to complex quantitative traits.
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