| Content Provider |
World Health Organization (WHO)-Global Index Medicus |
| Author |
Lovell, John T. Mullen, Jack L. Lowry, David B. Awole, Kedija Richards, James H. Sen, Saunak Verslues, Paul E. Juenger, Thomas E. McKay, John K. |
| Description |
Author Affiliation: Lovell JT ( Department of Integrative Biology, University of Texas, Austin, Texas 78712 Department of BioAgricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado 80523 johntlovell@gmail.com.); Mullen JL ( Department of BioAgricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado 80523.); Lowry DB ( Department of Plant Biology, Michigan State University, East Lansing, Michigan 48824.); Awole K ( Department of BioAgricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado 80523.); Richards JH ( Department of Land, Air, and Water Resources, University of California, Davis, California 95616.); Sen S ( Department of Epidemiology and Biostatistics, University of California, San Francisco, California 94143.); Verslues PE ( Institute of Plant and Microbial Biology, Academia Sinica, Taipei 115, Taiwan.); Juenger TE ( Department of Integrative Biology, University of Texas, Austin, Texas 78712 Institute of Cellular and Molecular Biology, University of Texas, Austin, Texas 78712.); McKay JK ( Department of BioAgricultural Sciences and Pest Management, Colorado State University, Fort Collins, Colorado 80523.) |
| 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. |
| File Format |
HTM / HTML |
| ISSN |
10404651 |
| e-ISSN |
1531298X |
| DOI |
10.1105/tpc.15.00122 |
| Journal |
THE PLANT CELL ONLINE |
| Issue Number |
4 |
| Volume Number |
27 |
| Language |
English |
| Publisher |
American Society of Plant Biologists |
| Publisher Date |
2015-04-01 |
| Publisher Place |
United States |
| Access Restriction |
Open |
| Subject Keyword |
Discipline Botany Arabidopsis Proteins Genetics Arabidopsis Droughts Epistasis, Genetic Gene Expression Regulation, Plant Quantitative Trait Loci Abscisic Acid Metabolism Research Support, Non-u.s. Gov't Research Support, U.s. Gov't, Non-p.h.s. |
| Content Type |
Text |
| Resource Type |
Article |
| Subject |
Cell Biology Plant Science |
