BSA-seq and quantitative trait locus mapping reveals a major effective QTL for carpel number in watermelon (Citrullus lanatus)
文献类型： 外文期刊
作者： Qiu, Boyan 1 ; Zhang, Taifeng 1 ; Zhang, Shuqing 2 ; Qu, Qianrui 2 ; Zhu, Zicheng 1 ; Liu, Shusen 4 ; Song, Zhengfeng 4 ; Xia, Lianqin 4 ; Yang, Zhongzhou 5 ; Zhang, Qian 6 ; Luan, Feishi 1 ; Gao, Peng 1 ; Liu, Shi 1 ;
作者机构： 1.Northeast Agr Univ, Key Lab Biol & Genet Improvement Hort Crops North, Minist Agr & Rural Affairs, Harbin 150030, Peoples R China
2.Northeast Agr Univ, Hort & Landscape Architecture Coll, Harbin, Peoples R China
3.Jilin Acad Vegetable & Flower Sci, Changchun, Peoples R China
4.Shouguang Sanmu Seedling Co Ltd, Shouguang, Peoples R China
5.Anhui Jianghuai Hort Technol Co Ltd, Hefei, Peoples R China
6.Anhui Acad Agr Sci, Hort Inst, Hefei, Peoples R China
关键词： BSA-seq; CAPS; carpel number; mapping; watermelon
期刊名称：PLANT BREEDING （ 影响因子：2.536； 五年影响因子：2.306 ）
ISSN： 0179-9541
年卷期： 2022 年 141 卷 3 期
页码：
收录情况： SCI
摘要： The carpel number (CN) is related to fruit shape variation in watermelon and represents one of the most important agronomic traits. In this study, ZXG01553 (5-CN type) and W1-17 (3-CN type) lines were used as parental material to construct F-1, F-2 and backcross populations for genetic inheritance analysis and QTL (quantitative trait locus) mapping. The F-1 generation displayed the 3-CN type and the frequency distribution of F-2 individuals showed partial separation suggesting that the 3-CN was dominant to 5-CN trait and controlled by a major gene. Bulked-segregant analysis (BSA-seq) identified a chromosome segment related to the CN trait spanning 2.44 Mb on chromosome 7. Genetic linkage analysis using QTL mapping software narrowed this region to 244 Kb, and a major effective QTL was detected between markers Chr07-30681552 and Chr07-30923898. Twenty-four genes were identified in the QTL region, in which Cla97C07G143260 annotated as Receptor-like protein kinase 2 was the most likely candidate gene for the CN trait in watermelon. Our research provides new insights into the forward genetics of CN variation in cucurbit crops.
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