Construction of a highly saturated genetic map and identification of quantitative trait loci for leaf traits in jujube

被引:4
|
作者
Yan, Fenfen [1 ,2 ]
Luo, Yujia [1 ]
Bao, Jingkai [1 ]
Pan, Yiling [1 ]
Wang, Jiurui [3 ]
Wu, Cuiyun [1 ,2 ]
Liu, Mengjun [1 ,4 ]
机构
[1] Tarim Univ, Coll Hort & Forestry, Natl & Local Joint Engn Lab High Efficiency & Supe, Alar, Peoples R China
[2] Tarim Univ, Xinjiang Prod & Construct Crops Key Lab Protect &, Alar, Peoples R China
[3] Hebei Agr Univ, Coll Forestry, Baoding, Peoples R China
[4] Hebei Agr Univ, Coll Hort, Baoding, Peoples R China
来源
基金
美国国家科学基金会;
关键词
Genetic map; Ziziphus jujuba mill; Whole-genome resequencing (WGR); Leaf traits; qtl; LINKAGE MAP; SIZE; QTL; MALUS;
D O I
10.3389/fpls.2022.1001850
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Chinese jujube (Ziziphus jujuba Mill.), a member of the genus Ziziphus, which comes under the family Rhamnaceae, is the most important species in terms of its economic, ecological, and social benefits. To dissect the loci associated with important phenotypical traits and analyze their genetic and genomic information in jujube, a whole-genome resequencing (WGR) based highly saturated genetic map was constructed using an F1 hybrid population of 140 progeny individuals derived from the cross of 'JMS2' x 'Jiaocheng 5'. The average sequencing depth of the parents was 14.09x and that of the progeny was 2.62x, and the average comparison efficiency between the sample and the reference genome was 97.09%. Three sets of genetic maps were constructed for a female parent, a male parent, and integrated. A total of 8,684 markers, including 8,158 SNP and 526 InDel markers, were evenly distributed across all 12 linkage groups (LGs) in the integrated map, spanning 1,713.22 cM with an average marker interval of 0.2 cM. In terms of marker number and density, this is the most saturated genetic map of jujube to date, nearly doubling that of the best ones previously reported. Based on this genetic map and phenotype data from 2019 to 2021, 31 leaf trait QTLs were identified in the linkage groups (LG1, 15; LG3, 1; LG5, 8; LG7, 4; LG8, 1, and LG11, 2), including 17 major QTLs. There were 4, 8, 14, and 5 QTLs that contributed to leaf length, leaf width, leaf shape index, and leaf area, respectively. Six QTLs clusters were detected on LG1 (8.05 cM-9.52 cM; 13.12 cM-13.99 cM; 123.84 cM-126.09 cM), LG5 (50.58 cM-50.86 cM; 80.10 cM-81.76 cM) and LG11 (35.98 cM-48.62 cM). Eight candidate genes were identified within the QTLs cluster regions. Annotation information showed that 4 genes (LOC107418196, LOC107418241, LOC107417968, and LOC112492570) in these QTLs are related to cell division and cell wall integrity. This research will provide a valuable tool for further QTL analysis, candidate gene identification, map-based gene cloning, comparative mapping, and marker-assisted selection (MAS) in jujube.
引用
收藏
页数:16
相关论文
共 50 条
  • [21] Identification of Quantitative Trait Loci for Grain Traits in Japonica Rice
    Li Mao-mao
    Xu Lei
    Ren Jun-fang
    Cao Gui-lan
    Yu Li-qin
    He Hao-hua
    Han Long-zhi
    Koh Hee-jong
    AGRICULTURAL SCIENCES IN CHINA, 2010, 9 (07): : 929 - 936
  • [22] Identification of quantitative trait loci for sorghum leaf blight resistance
    Lipps, Sarah
    Rooney, William L.
    Mideros, Santiago X.
    Jamann, Tiffany M.
    CROP SCIENCE, 2022, 62 (04) : 1550 - 1558
  • [23] The First Genetic Map of American Cranberry and Identification of Quantitative Trait Loci for Fruit Rot Resistance
    Georgi, Laura
    Johnson-Cicalese, Jennifer
    Honig, Josh
    Das, Sushma Parankush
    Rajah, Veeran D.
    Bhattacharya, Debashish
    Bassil, Nahla
    Rowland, Jeannie
    Polashock, James
    Vorsa, Nicholi
    HORTSCIENCE, 2012, 47 (09) : S361 - S361
  • [24] Construction of a dense genetic linkage map and mapping quantitative trait loci for economic traits of a doubled haploid population of Pyropia haitanensis (Bangiales, Rhodophyta)
    Xu, Yan
    Huang, Long
    Ji, Dehua
    Chen, Changsheng
    Zheng, Hongkun
    Xie, Chaotian
    BMC PLANT BIOLOGY, 2015, 15
  • [25] Construction of the First High-Density Genetic Linkage Map and Analysis of Quantitative Trait Loci for Growth-Related Traits in Sinonovacula constricta
    Niu, Donghong
    Du, Yunchao
    Wang, Ze
    Xie, Shumei
    Nguyen, Haideng
    Dong, Zhiguo
    Shen, Heding
    Li, Jiale
    MARINE BIOTECHNOLOGY, 2017, 19 (05) : 488 - 496
  • [26] Construction of a high-density genetic map sequencing and quantitative trait loci analysis for tillering related traits in Psathyrostachys juncea perennial grass
    Ma, Yingmei
    Chang, Yudong
    Li, Zhen
    Gao, Zhiqi
    Han, Feng
    Wang, Yong
    Yun, Lan
    PEERJ, 2024, 12
  • [27] Construction of a dense genetic linkage map and mapping quantitative trait loci for economic traits of a doubled haploid population of Pyropia haitanensis (Bangiales, Rhodophyta)
    Yan Xu
    Long Huang
    Dehua Ji
    Changsheng Chen
    Hongkun Zheng
    Chaotian Xie
    BMC Plant Biology, 15
  • [28] Construction of the First High-Density Genetic Linkage Map and Analysis of Quantitative Trait Loci for Growth-Related Traits in Sinonovacula constricta
    Donghong Niu
    Yunchao Du
    Ze Wang
    Shumei Xie
    Haideng Nguyen
    Zhiguo Dong
    Heding Shen
    Jiale Li
    Marine Biotechnology, 2017, 19 : 488 - 496
  • [29] Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci Linked to Fruit Quality Traits in Apricots Using Specific-Locus Amplified Fragment Sequencing
    Zhang, Qiuping
    Liu, Jiacheng
    Liu, Weisheng
    Liu, Ning
    Zhang, Yuping
    Xu, Ming
    Liu, Shuo
    Ma, Xiaoxue
    Zhang, Yujun
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [30] Construction of a High-Density Genetic Map and Identification of Quantitative Trait Loci for Nitrite Tolerance in the Pacific White Shrimp (Litopenaeus vannamei)
    Peng, Min
    Zeng, Digang
    Zhu, Weilin
    Chen, Xiuli
    Yang, Chunling
    Liu, Qingyun
    Li, Qiangyong
    Wang, Huanling
    Liu, Hong
    Liang, Jingzhen
    Lin, Yong
    Chen, Xiaohan
    Zhao, Yongzhen
    FRONTIERS IN GENETICS, 2020, 11