QTLs for seed vigor-related traits identified in maize seeds germinated under artificial aging conditions.

QTLs for seed vigor-related traits identified in maize seeds germinated under artificial aging conditions.
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DOI:
10.1371/journal.pone.0092535
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发表时间:
2014
期刊:
影响因子:
3.7
通讯作者:
Chen Y
Chen Y
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Han Z;Ku L;Zhang Z;Zhang J;Guo S;Liu H;Zhao R;Ren Z;Zhang L;Su H;Dong L;Chen Y

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高种子活力对于农业生产非常重要,因为它具有增加生长和生产力的潜力。然而,由于种子活力的遗传基础仍然未知,因此需要更好地了解潜在的分子机制。我们使用单核苷酸多态性(SNP)标记来绘制两个相连的重组自交系(RIL)玉米群体在种子萌发过程中四种处理条件下的四种种子活力性状的数量性状位点(QTL)。鉴定了分布在两个群体之间的 65 个 QTL,并使用荟萃分析来整合遗传图谱。 61 个最初鉴定的 QTL 被整合为 18 个元 QTL (mQTL)。对表型变异值贡献 R2>10% 的初始 QTL 被整合到 mQTL 中。与种子活力性状相关的 23 个候选基因与 13 个 mQTL 一致。候选基因在糖酵解途径和蛋白质代谢中具有功能。在 mQTL2、mQTL3-2 和 mQTL3-4 的至少一种处理条件下鉴定出具有主要效应 (R2>10%) 的 QTL。候选基因包括参与信号转导的钙依赖性蛋白激酶基因(302810918),映射到与发芽能(GE)和发芽率(GP)相关的mQTL3-2区间,以及映射到与GE和GP相关的mQTL3-4区间的hsp20/α晶状体蛋白家族蛋白基因(At5g51440)。对于 mQTL5-2,鉴定出在至少两种处理条件下具有主要作用的两个初始 QTL。黄瓜素样 Ser 蛋白酶基因 (At5g67360) 定位于与 GP 相关的 mQTL5-2 区间。 mQTL2、mQTL3-2、mQTL3-4和mQTL5-2的染色体区域可能是与种子活力性状相关的QTL的热点。本研究中鉴定的 mQTL 和候选基因为鉴定其他数量性状基因提供了有价值的信息。
High seed vigor is important for agricultural production due to the associated potential for increased growth and productivity. However, a better understanding of the underlying molecular mechanisms is required because the genetic basis for seed vigor remains unknown. We used single-nucleotide polymorphism (SNP) markers to map quantitative trait loci (QTLs) for four seed vigor traits in two connected recombinant inbred line (RIL) maize populations under four treatment conditions during seed germination. Sixty-five QTLs distributed between the two populations were identified and a meta-analysis was used to integrate genetic maps. Sixty-one initially identified QTLs were integrated into 18 meta-QTLs (mQTLs). Initial QTLs with contribution to phenotypic variation values of R2>10% were integrated into mQTLs. Twenty-three candidate genes for association with seed vigor traits coincided with 13 mQTLs. The candidate genes had functions in the glycolytic pathway and in protein metabolism. QTLs with major effects (R2>10%) were identified under at least one treatment condition for mQTL2, mQTL3-2, and mQTL3-4. Candidate genes included a calcium-dependent protein kinase gene (302810918) involved in signal transduction that mapped in the mQTL3-2 interval associated with germination energy (GE) and germination percentage (GP), and an hsp20/alpha crystallin family protein gene (At5g51440) that mapped in the mQTL3-4 interval associated with GE and GP. Two initial QTLs with a major effect under at least two treatment conditions were identified for mQTL5-2. A cucumisin-like Ser protease gene (At5g67360) mapped in the mQTL5-2 interval associated with GP. The chromosome regions for mQTL2, mQTL3-2, mQTL3-4, and mQTL5-2 may be hot spots for QTLs related to seed vigor traits. The mQTLs and candidate genes identified in this study provide valuable information for the identification of additional quantitative trait genes.
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