Genome-wide association study for temperature response and photo-thermal interaction of flowering time in soybean using a panel of cultivars with diverse maturity groups

文献类型： 外文期刊

第一作者： Wu, Tingting

作者： Wu, Tingting;Wen, Huiwen;Zhang, Xinyue;Jia, Hongchang;Xu, Cailong;Song, Wenwen;Jiang, Bingjun;Yuan, Shan;Sun, Shi;Wu, Cunxiang;Han, Tianfu;Jia, Hongchang

作者机构：

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：5.4； 五年影响因子：5.7 ）

ISSN： 0040-5752

年卷期： 2023 年 136 卷 12 期

页码：

收录情况： SCI

摘要： The flowering transition is a crucial component of soybean (Glycine max L. Merr.) development. The transition process is regulated by photoperiod, temperature, and their interaction. To examine the genetic architecture associated with temperature- and photo-thermal-mediated regulation of soybean flowering, we here performed a genome-wide association study using a panel of 201 soybean cultivars with maturity groups ranging from MG 000 to VIII. Each cultivar was grown in artificially controlled photoperiod and different seasons in 2017 and 2018 to assess the thermal response (TR) and the interactive photo-thermal response (IPT) of soybean flowering time. The panel contained 96,299 SNPs with minor allele frequencies > 5%; 33, 19, and 49 of these SNPs were significantly associated with only TR, only IPT, and both TR and IPT, respectively. Twenty-one SNPs were located in or near previously reported quantitative trait loci for first-flowering; 16 SNPs were located within 200 kb of the main-effect flowering genes GmFT2a, GmFT2b, GmFT3a, GmFT3b, GmFT5a, GmFT5b, GmCOL2b, GmPIF4b, and GmPIF4c, or near homologs of the known Arabidopsis thaliana flowering genes BBX19, VRN1, TFL1, FUL, AGL19, SPA1, HY5, PFT1, and EDF1. Natural non-synonymous allelic variations were identified in the candidate genes Glyma.08G302500 (GmHY5), Glyma.08G303900 (GmPIF4c), and Glyma.16G046700 (GmVRN1). Cultivars with different haplotypes showed significant variations in TR, IPT, and flowering time in multiple environments. The favorable alleles, candidate genes, and diagnostic SNP markers identified here provide valuable information for future improvement of soybean photo-thermal adaptability, enabling expansion of soybean production regions and improving plant resilience to global climate change.

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