Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.

Meta-QTL analysis explores the key genes, especially hormone related genes, involved in the regulation of grain water content and grain dehydration rate in maize.
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DOI:
10.1186/s12870-022-03738-y
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发表时间:
2022-07-16
期刊:
影响因子:
5.3
通讯作者:
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中科院分区:
生物学2区
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玉米收获期籽粒含水量低(GWC)对于机械收割、运输和储存至关重要。谷物干燥速率(GDR)是决定谷物含水率的关键因素。目前已报道了许多与GDR和GWC相关的数量性状基因座(QTL),但这些QTL的置信区间(CI)太大,很少有QTL被精细定位或克隆。元QTL(Meta-QTL)分析是整合独立群体中QTL信息的有效方法,有助于了解数量性状的遗传结构。本研究利用来自25个GDR和GWC相关试验的282个QTL进行了QTL分析。共检测到11个与GDR和GWC相关的MQTLs,34个与GWC相关的MQTLs。GDR和GWC MQTL的平均置信区间分别为24.44和22.13 cM,与初始GDR和GWC QTL的平均QTL间距相比,分别减小了57%和65%。最终在QTL区间内分别鉴定出1494个和5011个与GDR和GWC相关的候选基因。在这些基因中,有48个基因与激素代谢有关。本研究结合传统QTL分析、全基因组关联分析和RNA-seq技术,对玉米GWC的主效基因进行了分析。在线版本包含补充材料,可通过10.1186/s12870-022-03738-y获得。
Low grain water content (GWC) at harvest of maize (Zea mays L.) is essential for mechanical harvesting, transportation and storage. Grain drying rate (GDR) is a key determinant of GWC. Many quantitative trait locus (QTLs) related to GDR and GWC have been reported, however, the confidence interval (CI) of these QTLs are too large and few QTLs has been fine-mapped or even been cloned. Meta-QTL (MQTL) analysis is an effective method to integrate QTLs information in independent populations, which helps to understand the genetic structure of quantitative traits. In this study, MQTL analysis was performed using 282 QTLs from 25 experiments related GDR and GWC. Totally, 11 and 34 MQTLs were found to be associated with GDR and GWC, respectively. The average CI of GDR and GWC MQTLs was 24.44 and 22.13 cM which reduced the 57 and 65% compared to the average QTL interval for initial GDR and GWC QTL, respectively. Finally, 1494 and 5011 candidate genes related to GDR and GWC were identified in MQTL intervals, respectively. Among these genes, there are 48 genes related to hormone metabolism. Our studies combined traditional QTL analyses, genome-wide association study and RNA-seq to analysis major locus for regulating GWC in maize. The online version contains supplementary material available at 10.1186/s12870-022-03738-y.
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