棉花产量相关性状QTL定位及候选基因筛选

doi:10.7668/hbnxb.20192084

摘要/Abstract

摘要： 为了深入分析棉花产量相关性状的分子遗传机制，挖掘有效的分子标记和基因，以高产稳产品种冀丰914为母本、优质自交系冀丰817为父本，构建F₂、F₃群体，结合高密度SNP遗传图谱，对单铃质量（BW）、衣分（LP）、子指（SI）和果枝数（FBN）4个性状进行QTL定位及候选基因筛选。结果发现，冀丰914的4个性状均大于冀丰817，子代的4个性状呈正态分布。子指与单铃质量呈极显著正相关，与衣分呈极显著负相关。共定位到50个产量相关的QTL位点，分布于22条染色体，包括8个BW相关QTL、20个LP相关QTL、15个SI相关QTL和7个FBN相关QTL，单个位点最大贡献率（PVE）为12.96%，qBW-A11-1和qLP-A6-1能够在2个世代中重复定位到（稳定QTL）。在主效（PVE≥10%）或稳定QTL位点内注释到41个基因，主要参与植物细胞壁形成、纤维素生物合成过程等途径；根据转录组信息，编码肉桂酰辅酶A还原酶2类蛋白的Ghir_D03G005440.1基因在TM-1中的表达量高于Hai 7124，该基因位于主效QTL qSI-D3-1内，可能参与棉花子指性状的调控。为进一步探索棉花高稳产性状的分子遗传机制提供更多基础。

关键词: 棉花, 冀丰914, 产量, QTL定位, 基因注释

Abstract: In order to deeply analyze the molecular genetic mechanism of cotton yield related traits and explore effective molecular markers and genes, a high yield cotton cultivar Jifeng 914 was crossed with a super fiber quality inbred line Jifeng 817. Four traits including boll weight (BW), lint percentage (LP), seed index (SI) and fruiting branch number (FBN) were investigated in F₂ and F₃ populations, and QTL mapping was conducted. The results showed that the four traits of Jifeng 914 were larger than that of Jifeng 817, and normal distribution were observed in the offspring populations. Significant positive correlation was observed between SI and BW, and significant negative correlation existed between SI and LP. A total of 50 QTL were mapped on 22 chromosomes, including 8 QTL for BW, 20 QTL for LP, 15 QTL for SI and 7 QTL for FBN. The largest phenotypic variation explanation rate (PVE) reached 12.96%. Two QTL, qBW-A11-1 and qLP-A6-1 could be repeatedly detected in F₂ and F₃ populations, which were named as stable QTL. In addition, 41 genes were annotated in major effect (PVE ≥ 10%) or stable QTL regions, mainly participating in plant cell wall synthesis or cellulose biosynthesis. Based on the transcriptome information, Ghir_D03G005440.1 enconding Cinnamoyl-CoA reductase 2-like protein expressed higher level in TM-1 than that in Hai 7124. This gene located in the major QTL qSI-D3-1, indicating that it may be involved in the regulation of SI. This study provides more genetic basis for the detection of high cotton yield traits.

Key words: Cotton, Jifeng 914, Yield, QTL mapping, Gene annotation

中图分类号:

Q78
S562.03

贾晓昀, 朱继杰, 赵红霞, 王士杰, 李妙, 王国印. 棉花产量相关性状QTL定位及候选基因筛选[J]. 华北农学报, 2021, 36(2): 54-61. doi: 10.7668/hbnxb.20192084.

JIA Xiaoyun, ZHU Jijie, ZHAO Hongxia, WANG Shijie, LI Miao, WANG Guoyin. QTL Analysis and Candidate Gene Annotation for Cotton Yield Related Traits[J]. ACTA AGRICULTURAE BOREALI-SINICA, 2021, 36(2): 54-61. doi: 10.7668/hbnxb.20192084.

http://www.hbnxb.net/CN/Y2021/V36/I2/54

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