ArticleThe Plant cell2015
Exploiting Differential Gene Expression and Epistasis to Discover Candidate Genes for Drought-Associated QTLs in Arabidopsis thaliana.
Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 49 citations in OpenAlex.
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- The role of mitotype variation and positive epistasis in trait differences between Saccharomyces species.Genetics · 2026Article
- Newly identified sex chromosomes in the Sphagnum (peat moss) genome alter carbon sequestration and ecosystem dynamics.Nature plants · 2023Article
- Breeding crops for drought-affected environments and improved climate resilience.The Plant cell · 2023Review
- Salt tolerance QTLs of an endemic rice landrace, Horkuch at seedling and reproductive stages.Scientific reports · 2022Article
- SPARSE MATRIX LINEAR MODELS FOR STRUCTURED HIGH-THROUGHPUT DATA.The annals of applied statistics · 2022Article
- A2TEA: Identifying trait-specific evolutionary adaptations.F1000Research · 2022Article
- Combined Stress Conditions in Melon Induce Non-additive Effects in the Core miRNA Regulatory Network.Frontiers in plant science · 2021Article
- Article
- Evolutionary Metabolomics Identifies Substantial Metabolic Divergence between Maize and Its Wild Ancestor, Teosinte.The Plant cell · 2019Article
- Arabidopsis species deploy distinct strategies to cope with drought stress.Annals of botany · 2019Article
- Accelerated flowering time reduces lifetime water use without penalizing reproductive performance in Arabidopsis.Plant, cell & environment · 2019Article
- Natural Variation in 9-Cis-Epoxycartenoid Dioxygenase 3 and ABA Accumulation.Plant physiology · 2019Article
- The Genetic Architecture of Shoot and Root Trait Divergence Between Mesic and Xeric Ecotypes of a Perennial Grass.Frontiers in plant science · 2019Article
- Genetic diversity of submergence stress response in cytoplasms of the Triticum-Aegilops complex.Scientific reports · 2018Article
- Antisense transcription repressesEMBO reports · 2017Article
- Natural variation identifies genes affecting drought-induced abscisic acid accumulation inProceedings of the National Academy of Sciences of the United States of America · 2017Article
- Stress-Related Gene Expression Reflects Morphophysiological Responses to Water Deficit.Plant physiology · 2017Article
- Genetic dissection of seed oil and protein content and identification of networks associated with oil content in Brassica napus.Scientific reports · 2017Article
- Promises and Challenges of Eco-Physiological Genomics in the Field: Tests of Drought Responses in Switchgrass.Plant physiology · 2016Article
Corrections and comments
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Authors and funding
9 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Soil water availability represents one of the most important selective agents for plants in nature and the single greatest abiotic determinant of agricultural productivity, yet the genetic bases of drought acclimation responses remain poorly understood. Here, we developed a systems-genetic approach to characterize quantitative trait loci (QTLs), physiological traits and genes that affect responses to soil moisture deficit in the TSUxKAS mapping population of Arabidopsis thaliana. To determine the effects of candidate genes underlying QTLs, we analyzed gene expression as a covariate within the QTL model in an effort to mechanistically link markers, RNA expression, and the phenotype. This strategy produced ranked lists of candidate genes for several drought-associated traits, including water use efficiency, growth, abscisic acid concentration (ABA), and proline concentration. As a proof of concept, we recovered known causal loci for several QTLs. For other traits, including ABA, we identified novel loci not previously associated with drought. Furthermore, we documented natural variation at two key steps in proline metabolism and demonstrated that the mitochondrial genome differentially affects genomic QTLs to influence proline accumulation. These findings demonstrate that linking genome, transcriptome, and phenotype data holds great promise to extend the utility of genetic mapping, even when QTL effects are modest or complex.
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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.