文献类型：期刊文献

英文题名：The Construction of a High-Density Genetic Map for the Interspecific Cross of Castanea mollissima x C. henryi and the Identification of QTLs for Leaf Traits

作者：Jiang, Xibing[1,2] Wang, Yanpeng[1] Lai, Junsheng[3] Wu, Jian[3] Wu, Conglian[3] Hu, Weiyun[3] Wu, Xiaolong[3] Gong, Bangchu[1]

第一作者：江锡兵

通信作者：Wang, YP[1];Gong, BC[1]

机构：[1]Chinese Acad Forestry, Res Inst Subtrop Forestry, Hangzhou 311400, Peoples R China;[2]Chinese Acad Forestry, State Key Lab Tree Genet & Breeding, Beijing 100091, Peoples R China;[3]Qingyuan Bur Nat Resources & Planning, Lishui 323800, Peoples R China

年份：2023

卷号：14

期号：8

外文期刊名：FORESTS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:001056830500001)】；

基金：This research was supported by the Zhejiang Science and Technology Major Program on Agriculture New Variety Breeding (2021C02070-4).

语种：英文

外文关键词：Castanea spp.; interspecific hybridization; genetic map; marker-assisted breeding; QTL; leaf traits

摘要：Chinese chestnut is an economically and ecologically valuable tree species that is extensively cultivated in China. Leaf traits play a vital role in the photosynthetic capacity, chestnut yield, and quality, making them important breeding objectives. However, there has been limited research on constructing high-density linkage maps of Chinese chestnut and conducting quantitative trait loci (QTL) analyses for these leaf traits. This knowledge gap has hindered the progress of selection in Chinese chestnut breeding. In this study, we selected a well-established interspecific F-1 population, consisting of Castanea mollissima 'Kuili' x C. henryi 'YLZ1', to construct comprehensive genetic maps for chestnut. Through the use of a genotyping-by-sequencing (GBS) technique, we successfully created a high-density linkage map based on single-nucleotide polymorphisms (SNPs) from the F-1 cross. The results showed that 4578 SNP markers were identified in the genetic linkage map, and the total length was 1812.46 cM, which was distributed throughout 12 linkage groups (LGs) with an average marker distance of 0.4 cM. Furthermore, we identified a total of 71 QTLs associated with nine chestnut leaf traits: chlorophyll b content (chlb), stomatal conductance (Gs), leaf area (LA), leaf dry weight (LDW), leaf fresh weight (LFW), leaf length (LL), leaf width (LW), petiole length (PL), and specific leaf weight (SLW). These QTLs were identified based on phenotypic data collected from 2017 to 2018. Notably, among the 71 QTLs, 29 major QTLs were found to control leaf area (LA), leaf dry weight (LDW), and leaf width (LW). The high-density genetic mapping and QTL identification related to leaf traits in this study will greatly facilitate marker-assisted selection (MAS) in chestnut breeding programs.