Chandran Anil Kumar Nalini, Sandhu Jaspreet, Irvin Larissa, Paul Puneet, Dhatt Balpreet K, Hussain Waseem, Gao Tian, Staswick Paul, Yu Hongfeng, Morota Gota, Walia Harkamal
Department of Agronomy and Horticulture, University of Nebraska-Lincoln, Lincoln, NE, United States.
Rice Breeding Innovation Platform, International Rice Research Institute (IRRI), Los Banos, Philippines.
Front Plant Sci. 2022 Oct 11;13:1026472. doi: 10.3389/fpls.2022.1026472. eCollection 2022.
Heat stress occurring during rice () grain development reduces grain quality, which often manifests as increased grain chalkiness. Although the impact of heat stress on grain yield is well-studied, the genetic basis of rice grain quality under heat stress is less explored as quantifying grain quality is less tractable than grain yield. To address this, we used an image-based colorimetric assay (Red, R; and Green, G) for genome-wide association analysis to identify genetic loci underlying the phenotypic variation in rice grains exposed to heat stress. We found the R to G pixel ratio (RG) derived from mature grain images to be effective in distinguishing chalky grains from translucent grains derived from control (28/24°C) and heat stressed (36/32°C) plants. Our analysis yielded a novel gene, rice () that regulates natural variation for grain chalkiness under heat stress. encodes a grain-specific, expressed protein of unknown function. Accessions with lower transcript abundance of exhibit higher chalkiness, which correlates with higher RG values under stress. These findings are supported by increased chalkiness of knock-out (KO) mutants relative to wildtype (WT) under heat stress. Grains from plants overexpressing are less chalky than KOs but comparable to WT under heat stress. Compared to WT and OE, KO mutants exhibit greater heat sensitivity for grain size and weight relative to controls. Collectively, these results show that the natural variation at may contribute towards rice grain quality under heat stress.
水稻籽粒发育过程中发生的热应激会降低籽粒品质,这通常表现为籽粒垩白度增加。尽管热应激对籽粒产量的影响已得到充分研究,但由于量化籽粒品质比籽粒产量更难处理,因此热应激下水稻籽粒品质的遗传基础研究较少。为了解决这个问题,我们使用基于图像的比色法(红色,R;绿色,G)进行全基因组关联分析,以确定热应激下水稻籽粒表型变异背后的遗传位点。我们发现,从成熟籽粒图像得出的R与G像素比(RG)能够有效地区分对照(28/24°C)和热应激(36/32°C)植株产生的垩白籽粒和半透明籽粒。我们的分析产生了一个新基因,水稻(),它调控热应激下籽粒垩白度的自然变异。编码一种籽粒特异性的、功能未知的表达蛋白。转录本丰度较低的种质表现出更高的垩白度,这与胁迫下更高的RG值相关。这些发现得到了热应激下敲除(KO)突变体相对于野生型(WT)垩白度增加的支持。过表达的植株产生的籽粒在热应激下比KO突变体的垩白度更低,但与WT相当。与WT和OE相比,KO突变体相对于对照在籽粒大小和重量方面表现出更大的热敏感性。总的来说,这些结果表明,处的自然变异可能有助于热应激下的水稻籽粒品质。