Whole-Genome Mapping Reveals Novel QTL Clusters Associated with Main Agronomic Traits of Cabbage (Brassica oleracea var. capitata L.)
文献类型: 外文期刊
作者: Lv, Honghao 1 ; Wang, Qingbiao; Liu, Xing 1 ; Han, Fengqing 1 ; Fang, Zhiyuan 1 ; Yang, Limei 1 ; Zhuang, Mu 1 ; Liu, 1 ;
作者机构: 1.Chinese Acad Agr Sci, Inst Vegetables & Flowers, Minist Agr, Key Lab Biol & Genet Improvement Hort Crops, Beijing, Peoples R China
2.Chinese Acad Agr Sci, Inst Vegetables & Flowers, Minist Agr, Key Lab Biol & Genet Improvement Hort C
关键词: Brassica oleracea var. capitata L.;agronomic traits;linkage map;QTL clusters;marker-assisted selection
期刊名称:FRONTIERS IN PLANT SCIENCE ( 影响因子:5.753; 五年影响因子:6.612 )
ISSN: 1664-462X
年卷期: 2016 年 7 卷
页码:
收录情况: SCI
摘要: We describe a comprehensive quantitative trait locus (QTL) analysis for 24 main agronomic traits of cabbage. Field experiments were performed using a 196-line double haploid population in three seasons in 2011 and 2012 to evaluate important agronomic traits related to plant type, leaf, and head traits. In total, 144 QTLs with LOD threshold >3.0 were detected for the 24 agronomic traits: 25 for four plant-type-related traits, 64 for 10 leaf-related traits, and 55 for 10 head-related traits; each QTL explained 6.0-55.7% of phenotype variation. Of the QTLs, 95 had contribution rates higher than 10%, and 51 could be detected in more than one season. Major QTLs included Ph 3.1 (max R-2 = 55.7, max LOD = 28.2) for plant height, LI 3.2 (max R-2 = 31.7, max LOD = 13.95) for leaf length, and Htd 3.2 (max R-2 = 28.5, max LOD = 9.49) for head transverse diameter; these could all be detected in more than one season. Twelve QTL clusters were detected on eight chromosomes, and the most significant four included Inde1481-scaffold18376 (3.20 Mb), with five QTLs for five traits; Inde164-scaffold35418 (2.22 Mb), six QTLs for six traits; scaffold39782-Inde184 (1.78 Mb), 11 QTLs for 11 traits; and Inde1353-Inde1245 (9.89 Mb), seven QTLs for six traits. Besides, most traits clustered within the same region were significantly correlated with each other. The candidate genes at these regions were also discussed. Robust QTLs and their clusters obtained in this study should prove useful for marker-assisted selection (MAS) in cabbage breeding and in furthering our understanding of the genetic control of these traits.
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