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Integrating RTM-GWAS and meta-QTL data revealed genomic regions and candidate genes associated with the first fruit branch node and its height in upland cotton

文献类型： 外文期刊

作者： Su, Junji 1 ; Li, Dandan 1 ; Yuan, Wenmin 1 ; Li, Ying 2 ; Ju, Jisheng 1 ; Wang, Ning 3 ; Ling, Pingjie 1 ; Feng, Keyun 3 ; Wang, Caixiang 1 ;

作者机构： 1.Gansu Agr Univ, Coll Life Sci & Technol, State Key Lab Aridland Crop Sci, Lanzhou 730070, Gansu, Peoples R China

2.Chinese Acad Agr Sci CAAS, Western Res Inst, Changji 831100, Peoples R China

3.Gansu Acad Agr Sci, Crop Res Inst, Lanzhou 730070, Gansu, Peoples R China

期刊名称：THEORETICAL AND APPLIED GENETICS （ 影响因子：4.4； 五年影响因子：5.0 ）

ISSN： 0040-5752

年卷期： 2024 年 137 卷 9 期

页码：

收录情况： SCI

摘要： Key message Two genomic regions associated with FFBN and HFFBN and a potential regulatory gene (GhE6) of HFFBN were identified through the integration of RTM-GWAS and meta-QTL analyses. Abstract The first fruit branch node (FFBN) and the height of the first fruit branch node (HFFBN) are two important traits that are related to plant architecture and early maturation in upland cotton. Several studies have been conducted to elucidate the genetic basis of these traits in cotton using biparental and natural populations. In this study, by using 9,244 SNP linkage disequilibrium block (SNPLDB) loci from 315 upland cotton accessions, we carried out restricted two-stage multilocus and multiallele genome-wide association studies (RTM-GWASs) and identified promising haplotypes/alleles of the four stable and true major SNPLDB loci that were significantly associated with FFBN and HFFBN. Additionally, a meta-quantitative trait locus (MQTL) analysis was conducted on 274 original QTLs that were reported in 27 studies, and 40 MQTLs associated with FFBN and HFFBN were identified. Through the integration of the RTM-GWAS and meta-QTL analyses, two stable and true major SNPLDBs (LDB_5_15144433 and LDB_16_37952328) that were distributed in the two MQTLs were identified. Ultimately, 142 genes in the two genomic regions were annotated, and three candidate genes associated with FFBN and HFFBN were identified in the genomic region (A05:14.64-15.64 Mb) via RNA-Seq and qRT-PCR. The results of virus-induced gene silencing (VIGS) experiments indicated that GhE6 was a key gene related to HFFBN and that GhDRM1 and GhGES were important genes associated with early flowering in upland cotton. These findings will aid in the future identification of molecular markers and genetic resources for developing elite early-maturing cultivars with ideal plant characteristics.

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