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利用小麦高密度遗传图谱进行品质性状的 QTL 定位。

QTL mapping for quality traits using a high-density genetic map of wheat.

机构信息

State Key Laboratory of Crop Biology / Shandong Key Laboratory of Crop Biology, Shandong Agricultural University, Tai'an, Shandong, China.

Cotton research center, Shandong Academy of Agricultural Sciences, Jinan, Shandong, China.

出版信息

PLoS One. 2020 Mar 24;15(3):e0230601. doi: 10.1371/journal.pone.0230601. eCollection 2020.

Abstract

Protein- and starch-related quality traits, which are quantitatively inherited and significantly influenced by the environment, are critical determinants of the end-use quality of wheat. We constructed a high-density genetic map containing 10,739 loci (5,399 unique loci) using a set of 184 recombinant inbred lines (RILs) derived from a cross of 'Tainong 18 × Linmai 6' (TL-RILs). In this study, a quantitative trait loci (QTLs) analysis was used to examine the genetic control of grain protein content, sedimentation value, farinograph parameters, falling number and the performance of the starch pasting properties using TL-RILs grown in a field for three years. A total of 106 QTLs for 13 quality traits were detected, distributed on the 21 chromosomes. Of these, 38 and 68 QTLs for protein- and starch-related traits, respectively, were detected in three environments and their average values (AV). Twenty-six relatively high-frequency QTLs (RHF-QTLs) that were detected in more than two environments. Twelve stable QTL clusters containing at least one RHF-QTL were detected and classified into three types: detected only for protein-related traits (type I), detected only for starch-related traits (type II), and detected for both protein- and starch-related traits (type III). A total of 339 markers flanked with 11 QTL clusters (all except C6), were found to be highly homologous with 282 high confidence (HC) and 57 low confidence (LC) candidate genes based on IWGSC RefSeq v 1.0. These stable QTLs and RHF-QTLs, especially those grouped into clusters, are credible and should be given priority for QTL fine-mapping and identification of candidate genes with which to explain the molecular mechanisms of quality development and inform marker-assisted breeding in the future.

摘要

蛋白质和淀粉相关的质量性状是数量遗传的,受环境影响显著,是小麦食用品质的关键决定因素。我们利用‘台农 18×林麦 6’衍生的 184 个重组自交系(RILs)构建了一个高密度遗传图谱,该图谱包含 10739 个位点(5399 个独特位点)。在这项研究中,我们使用 TL-RILs 在田间生长三年的数据,通过数量性状位点(QTL)分析来研究籽粒蛋白质含量、沉淀值、粉质仪参数、降落值和淀粉糊化特性的遗传控制。共检测到 13 个品质性状的 106 个 QTL,分布在 21 条染色体上。其中,在三个环境及其平均值(AV)中分别检测到与蛋白质和淀粉相关性状相关的 38 个和 68 个 QTL。检测到 26 个相对高频 QTL(RHF-QTL),这些 QTL 在两个以上环境中被检测到。共检测到 12 个稳定的 QTL 簇,每个簇至少含有一个 RHF-QTL,这些 QTL 簇被分为三种类型:仅与蛋白质相关的性状(I 型)、仅与淀粉相关的性状(II 型)和与蛋白质和淀粉相关的性状(III 型)。共发现 339 个标记与 11 个 QTL 簇(除 C6 外均为)紧密连锁,这些标记基于 IWGSC RefSeq v1.0 与 282 个高置信(HC)和 57 个低置信(LC)候选基因高度同源。这些稳定的 QTL 和 RHF-QTL,尤其是那些聚类的 QTL,是可信的,应该优先进行 QTL 精细定位和候选基因鉴定,以解释未来品质发育的分子机制,并为标记辅助育种提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2727/7092975/527bad2ac9a1/pone.0230601.g002.jpg

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