Natural variation identifies genes affecting droughtinduced abscisic acid accumulation in Arabidopsis thaliana

Rajesh Kalladan, Jesse R. Lasky, Trent Z. Chang, Sandeep Sharma, Thomas E. Juenger, Paul E. Verslues

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Accumulation of the stress hormone abscisic acid (ABA) in response to drought and low water-potential controls many downstream acclimation mechanisms. However, mechanisms controlling ABA accumulation itself are less known. There was a 10-fold range of variation in ABA levels among nearly 300 Arabidopsis thaliana accessions exposed to the same low water-potential severity. Genomewide association analysis (GWAS) identified genomic regions containing clusters of ABA-associated SNPs. Candidate genes within these regions included few genes with known stress or ABArelated function. The GWAS data were used to guide reverse genetic analysis, which found effectors of ABA accumulation. These included plasma-membrane-localized signaling proteins such as receptor-like kinases, aspartic protease, a putative lipid-binding START domain protein, and other membrane proteins of unknown function as well as a RING U-box protein and possible effect of tonoplast transport on ABA accumulation. Putative loss-of-function polymorphisms within the START domain protein were associated with climate factors at accession sites of origin, indicating its potential involvement in drought adaptation. Overall, using ABA accumulation as a basis for a combined GWAS-reverse genetic strategy revealed the broad natural variation in low-water-potential-induced ABA accumulation and was successful in identifying genes that affect ABA levels and may act in upstream drought-related sensing and signaling mechanisms. ABA effector loci were identified even when each one was of incremental effect, consistent with control of ABA accumulation being distributed among the many branches of ABA metabolism or mediated by genes with partially redundant function.

Original languageEnglish (US)
Pages (from-to)11536-11541
Number of pages6
JournalProceedings of the National Academy of Sciences of the United States of America
Volume114
Issue number43
DOIs
StatePublished - Oct 24 2017

All Science Journal Classification (ASJC) codes

  • General

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