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全基因组关联研究揭示燕麦种子活力的遗传结构。

Genome-Wide Association Study Reveals the Genetic Architecture of Seed Vigor in Oats.

机构信息

Department of Agronomy, National Taiwan University, Taipei, 10617, Taiwan.

Small Grains and Potato Germplasm Research, USDA, ARS, Aberdeen, ID 83210.

出版信息

G3 (Bethesda). 2020 Dec 3;10(12):4489-4503. doi: 10.1534/g3.120.401602.

Abstract

Seed vigor is crucial for crop early establishment in the field and is particularly important for forage crop production. Oat ( L.) is a nutritious food crop and also a valuable forage crop. However, little is known about the genetics of seed vigor in oats. To investigate seed vigor-related traits and their genetic architecture in oats, we developed an easy-to-implement image-based phenotyping pipeline and applied it to 650 elite oat lines from the Collaborative Oat Research Enterprise (CORE). Root number, root surface area, and shoot length were measured in two replicates. Variables such as growth rate were derived. Using a genome-wide association (GWA) approach, we identified 34 and 16 unique loci associated with root traits and shoot traits, respectively, which corresponded to 41 and 16 unique SNPs at a false discovery rate < 0.1. Nine root-associated loci were organized into four sets of homeologous regions, while nine shoot-associated loci were organized into three sets of homeologous regions. The context sequences of five trait-associated markers matched to the sequences of rice, and maize (E-value < 10), including three markers matched to known gene models with potential involvement in seed vigor. These were a glucuronosyltransferase, a mitochondrial carrier protein domain containing protein, and an iron-sulfur cluster protein. This study presents the first GWA study on oat seed vigor and data of this study can provide guidelines and foundation for further investigations.

摘要

种子活力对于作物在田间的早期建立至关重要,对于饲料作物的生产尤其重要。燕麦(L.)是一种营养丰富的粮食作物,也是一种有价值的饲料作物。然而,人们对燕麦种子活力的遗传知之甚少。为了研究燕麦种子活力相关性状及其遗传结构,我们开发了一种易于实施的基于图像的表型分析管道,并将其应用于来自合作燕麦研究企业(CORE)的 650 个燕麦精英系。在两个重复中测量了根数量、根表面积和茎长。衍生出诸如生长率等变量。使用全基因组关联(GWA)方法,我们分别鉴定出与根性状和茎性状相关的 34 个和 16 个独特的位点,这些位点对应于假发现率<0.1 的 41 个和 16 个独特的 SNP。9 个与根相关的位点被组织成四个同源区域集,而 9 个与茎相关的位点被组织成三个同源区域集。五个性状相关标记的上下文序列与水稻和玉米(E 值<10)的序列匹配,包括三个标记与具有潜在参与种子活力的已知基因模型匹配。这些是一个葡糖醛酸基转移酶、一个含有线粒体载体蛋白结构域的蛋白和一个铁硫簇蛋白。本研究首次对燕麦种子活力进行了全基因组关联研究,本研究的数据可为进一步研究提供指导和基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/df15/7718755/4ce6248f807d/4489f1.jpg

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