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通过全基因组重测序和 QTL 作图对荠籽油类性状的自然变异进行遗传剖析。

Genetic dissection of natural variation in oilseed traits of camelina by whole-genome resequencing and QTL mapping.

机构信息

Department of Plant Sciences and Plant Pathology, Montana State University, Bozeman, MT, 59717, USA.

School of Computing, Montana State University, Bozeman, MT, 59717, USA.

出版信息

Plant Genome. 2021 Jul;14(2):e20110. doi: 10.1002/tpg2.20110. Epub 2021 Jun 9.

DOI:10.1002/tpg2.20110
PMID:34106529
Abstract

Camelina [Camelina sativa (L.) Crantz] is an oilseed crop in the Brassicaceae family that is currently being developed as a source of bioenergy and healthy fatty acids. To facilitate modern breeding efforts through marker-assisted selection and biotechnology, we evaluated genetic variation among a worldwide collection of 222 camelina accessions. We performed whole-genome resequencing to obtain single nucleotide polymorphism (SNP) markers and to analyze genomic diversity. We also conducted phenotypic field evaluations in two consecutive seasons for variations in key agronomic traits related to oilseed production such as seed size, oil content (OC), fatty acid composition, and flowering time. We determined the population structure of the camelina accessions using 161,301 SNPs. Further, we identified quantitative trait loci (QTL) and candidate genes controlling the above field-evaluated traits by genome-wide association studies (GWAS) complemented with linkage mapping using a recombinant inbred line (RIL) population. Characterization of the natural variation at the genome and phenotypic levels provides valuable resources to camelina genetic studies and crop improvement. The QTL and candidate genes should assist in breeding of advanced camelina varieties that can be integrated into the cropping systems for the production of high yield of oils of desired fatty acid composition.

摘要

荠蓝(荠蓝属)是十字花科的一种油料作物,目前正被开发为生物能源和健康脂肪酸的来源。为了通过标记辅助选择和生物技术促进现代育种工作,我们评估了全球 222 份荠蓝种质资源的遗传变异。我们进行了全基因组重测序,以获得单核苷酸多态性(SNP)标记,并分析基因组多样性。我们还在两个连续的季节进行了田间表型评估,以评估与油籽生产相关的关键农艺性状的变化,如种子大小、油含量(OC)、脂肪酸组成和开花时间。我们使用 161301 个 SNP 确定了荠蓝种质的种群结构。此外,我们通过全基因组关联研究(GWAS)结合使用重组自交系(RIL)群体的连锁作图,鉴定了控制上述田间评估性状的数量性状位点(QTL)和候选基因。在基因组和表型水平上对自然变异的描述为荠蓝遗传研究和作物改良提供了有价值的资源。这些 QTL 和候选基因应有助于培育能够整合到作物系统中的先进荠蓝品种,以生产出所需脂肪酸组成的高油产量。

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