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Association Mapping Analysis of Fatty Acid Content in Different Ecotypic Rapeseed Using mrMLM

机译:应用mrMLM分析不同生态型油菜籽中脂肪酸含量的关联图分析

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摘要

Brassica napus L. is a widely cultivated oil crop and provides important resources of edible vegetable oil, and its quality is determined by fatty acid composition and content. To explain the genetic basis and identify more minor loci for fatty acid content, the multi-locus random-SNP-effect mixed linear model (mrMLM) was used to identify genomic regions associated with fatty acid content in a genetically diverse population of 435 rapeseed accessions, including 77 winter-type, 55 spring-type, and 303 semi-winter-type accessions grown in different environments. A total of 149 quantitative trait nucleotides (QTNs) were found to be associated with fatty acid content and composition, including 34 QTNs that overlapped with the previously reported loci, and 115 novel QTNs. Of these, 35 novel QTNs, located on chromosome A01, A02, A03, A05, A06, A09, A10, and C02, respectively, were repeatedly detected across different environments. Subsequently, we annotated 95 putative candidate genes by BlastP analysis using sequences from Arabidopsis thaliana homologs of the identified regions. The candidate genes included 34 environmentally-insensitive genes (e.g., CER4, DGK2, KCS17, KCS18, MYB4, and TT16) and 61 environment-sensitive genes (e.g., FAB1, FAD6, FAD7, KCR1, KCS9, KCS12, and TT1) as well as genes invloved in the fatty acid biosynthesis. Among these, BnaA08g08280D and BnaC03g60080D differed in genomic sequence between the high- and low-oleic acid lines, and might thus be the novel alleles regulating oleic acid content. Furthermore, RT-qPCR analysis of these genes showed differential expression levels during seed development. Our results highlight the practical and scientific value of mrMLM or QTN detection and the accuracy of linking specific QTNs to fatty acid content, and suggest a useful strategy to improve the fatty acid content of B. napus seeds by molecular marker-assisted breeding.
机译:甘蓝型油菜是一种广泛种植的油料作物,提供了食用植物油的重要资源,其品质取决于脂肪酸的组成和含量。为了解释遗传基础并确定更多的脂肪酸含量次位点,使用多基因座随机SNP效应混合线性模型(mrMLM)鉴定了435个油菜籽遗传多样性人群中与脂肪酸含量相关的基因组区域,包括在不同环境中生长的77种冬季型,55种春季型和303种半冬型种质。共发现149个定量性状核苷酸(QTN)与脂肪酸含量和组成相关,包括34个与先前报道的基因座重叠的QTN和115个新的QTN。其中,在不同环境中反复检测到35个新颖的QTN,分别位于A01,A02,A03,A05,A06,A09,A10和CO2染色体上。随后,我们使用来自所鉴定区域的拟南芥同源物的序列通过BlastP分析对95个假定的候选基因进行了注释。候选基因包括34个对环境不敏感的基因(例如CER4,DGK2,KCS17,KCS18,MYB4和TT16)和61个对环境不敏感的基因(例如FAB1,FAD6,FAD7,KCR1,KCS9,KCS12和TT1)。以及参与脂肪酸生物合成的基因。其中,BnaA08g08280D和BnaC03g60080D在高油酸和低油酸品系之间的基因组序列不同,因此可能是调节油酸含量的新等位基因。此外,这些基因的RT-qPCR分析显示了种子发育过程中的差异表达水平。我们的结果突出了mrMLM或QTN检测的实用和科学价值,以及将特定QTN连接到脂肪酸含量的准确性,并提出了通过分子标记辅助育种提高甘蓝型油菜种子脂肪酸含量的有用策略。

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