Institute of Plant and Microbial Biology, Academia Sinica, Taipei 115, Taiwan.
Department of Biology, Pennsylvania State University, University Park, PA 16802.
Proc Natl Acad Sci U S A. 2017 Oct 24;114(43):11536-11541. doi: 10.1073/pnas.1705884114. Epub 2017 Oct 10.
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 accessions exposed to the same low water-potential severity. Genome-wide association analysis (GWAS) identified genomic regions containing clusters of ABA-associated SNPs. Candidate genes within these regions included few genes with known stress or ABA-related 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.
积累的应激激素脱落酸(ABA)对干旱和低水势的响应控制了许多下游适应机制。然而,控制 ABA 积累本身的机制还知之甚少。在近 300 个品种中,ABA 水平的变化幅度在 10 倍左右,这些品种都暴露在相同的低水势严重程度下。全基因组关联分析(GWAS)鉴定出含有 ABA 相关 SNP 簇的基因组区域。这些区域内的候选基因包括少数具有已知应激或 ABA 相关功能的基因。将 GWAS 数据用于指导反向遗传分析,发现了 ABA 积累的效应物。这些包括质膜定位的信号蛋白,如受体样激酶、天冬氨酸蛋白酶、一个假定的脂质结合 START 结构域蛋白和其他具有未知功能的膜蛋白,以及一个 RING U-box 蛋白和液泡转运对 ABA 积累的可能影响。在 START 结构域蛋白内的假定功能丧失多态性与原始品种起源地的气候因素有关,表明其可能参与了干旱适应。总的来说,使用 ABA 积累作为 GWAS-反向遗传策略的基础,揭示了低水势诱导的 ABA 积累的广泛自然变异,并成功地鉴定了影响 ABA 水平的基因,这些基因可能作用于上游与干旱相关的感应和信号机制。即使每个 ABA 效应基因的作用都是递增的,ABA 效应基因座也被鉴定出来,这与 ABA 积累的控制分布在 ABA 代谢的许多分支之间或由具有部分冗余功能的基因介导是一致的。