Construction of a high-density genetic linkage map and identification of flowering-related QTL in erect milkvetch (Astragalus adsurgens)

被引:1
|
作者
Gong, Wenlong [1 ,2 ]
Ma, Lin [3 ]
Gao, Qiu [4 ]
Wei, Bao [3 ]
Zhang, Jiangui [1 ]
Liu, Xiqiang [2 ]
Gong, Pan [3 ]
Wang, Zan [2 ,3 ]
Zhao, Guiqin [1 ]
机构
[1] Gansu Agr Univ, Coll Pratacultural Sci, Lanzhou 730070, Gansu, Peoples R China
[2] China Agr Univ, Coll Grassland Sci & Technol, Beijing 100193, Peoples R China
[3] Chinese Acad Agr Sci, Inst Anim Sci, Beijing 100193, Peoples R China
[4] Natl Anim Husb Serv, Beijing 100125, Peoples R China
来源
CROP JOURNAL | 2022年 / 10卷 / 04期
关键词
Erect milkvetch; Genetic map; Flowering-related traits; QTL mapping; SLAF-seq; GENOME; L; BIOSYNTHESIS; ARCHITECTURE; TOLERANCE; HOMOLOG; REVEALS; PATTERN; TRAITS; RICE;
D O I
10.1016/j.cj.2022.01.008
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Erect milkvetch (Astragalus adsurgens) is a perennial legume forage crop with economic and ecological value in livestock grazing and soil-erosion control in arid and semiarid areas worldwide. Genomic infor-mation and molecular tools to support breeding and research in the species are limited. The objectives of this investigation were to map its genome using DNA markers and to identify quantitative trait loci (QTL) in the species. An F1 mapping population of 250 plants was developed from a cross between two parents with differing flowering-related traits. A high-density genetic linkage map containing 4821 markers on eight linkage groups (LGs) with a total genetic length of 1395 cM and a mean interval of 0.29 cM between adjacent markers was constructed with SLAF-seq technology. Comparative genomic analyses revealed the highest genome sequence similarity (8.71%) between erect milkvetch and Medicago truncatula, fol-lowed by Glycine max (7.65%), Cicer arietinum (7.53%), and Lupinus angustifolius (5.21%). A total of 64 sig-nificant QTL for flowering-related traits on six LGs were detected, accounting for 9.38 to 19.1% of the associated phenotype variation. Five and 48 key candidate genes for floret number and inflorescence length were identified based on the Glycyrrhiza uralensis genome. These candidate genes were involved in ubiquitination/degradation, pollen development, cell division, cytokinin biosynthetic process, and plant flowering. These findings shed light on the regulation of flowering traits in erect milkvetch and pro-vide genomic resources for future molecular breeding of the crop.(C) 2022 Crop Science Society of China and Institute of Crop Science, CAAS. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd.
引用
收藏
页码:1141 / 1150
页数:10
相关论文
共 50 条
  • [1] Construction of a high-density linkage map and fine mapping of QTL for growth in Asian seabass
    Wang, Le
    Wan, Zi Yi
    Bai, Bin
    Huang, Shu Qing
    Chua, Elaine
    Lee, May
    Pang, Hong Yan
    Wen, Yan Fei
    Liu, Peng
    Liu, Feng
    Sun, Fei
    Lin, Grace
    Ye, Bao Qing
    Yue, Gen Hua
    SCIENTIFIC REPORTS, 2015, 5
  • [2] High-Density Linkage Map Construction and QTL Identification in a Diploid Blueberry Mapping Population
    Qi, Xinpeng
    Ogden, Elizabeth L.
    Bostan, Hamed
    Sargent, Daniel J.
    Ward, Judson
    Gilbert, Jessica
    Iorizzo, Massimo
    Rowland, Lisa J.
    FRONTIERS IN PLANT SCIENCE, 2021, 12
  • [3] Construction of a High-Density Genetic Linkage Map and QTL Mapping for Growth-Related Traits in Takifugu bimaculatus
    Shi, Yue
    Zhou, Zhixiong
    Liu, Bo
    Kong, Shengnan
    Chen, Baohua
    Bai, Huaqiang
    Li, Leibin
    Pu, Fei
    Xu, Peng
    MARINE BIOTECHNOLOGY, 2020, 22 (01) : 130 - 144
  • [4] Construction of the First High-Density Genetic Linkage Map and QTL Mapping of Shikimic Acid Content in Liquidambar
    Fan, Yingming
    Li, Hongxuan
    Li, Ying
    Bao, Fen
    Zhan, Dingju
    Pang, Zhenwu
    Zhao, Jian
    Zhang, Jinfeng
    FORESTS, 2024, 15 (09):
  • [5] A high-density genetic linkage map and QTL mapping for sex in Clarias fuscus
    Lin, Xinghua
    Tan, Jiru
    Shen, Yijun
    Yang, Binlan
    Zhang, Yulei
    Liao, Yu
    Wang, Beibei
    Zhou, Dayan
    Li, Guangli
    Tian, Changxu
    AQUACULTURE, 2022, 561
  • [6] Construction of a high-density genetic linkage map and QTL mapping for growth traits in Pseudobagrus ussuriensis
    Zhu, Chuankun
    Liu, Haiyang
    Pan, Zhengjun
    Chang, Guoliang
    Wang, Hui
    Wu, Nan
    Ding, Huaiyu
    Yu, Xiangsheng
    AQUACULTURE, 2019, 511
  • [7] Construction of a High-Density Genetic Map and Its Application to QTL Identification for Fiber Strength in Upland Cotton
    Zhang, Zhen
    Ge, Qun
    Liu, Aiying
    Li, Junwen
    Gong, Juwu
    Shang, Haihong
    Shi, Yuzhen
    Chen, Tingting
    Wang, Yanling
    Palanga, Koffi Kibalou
    Muhammad, Jamshed
    Lu, Quanwei
    Deng, Xiaoying
    Tan, Yunna
    Liu, Ruixian
    Zou, Xianyan
    Rashid, Harun
    Iqbal, Muhammad Sajid
    Gong, Wankui
    Yuan, Youlu
    CROP SCIENCE, 2017, 57 (02) : 774 - 788
  • [8] Construction of High-Density Genetic Map and QTL Mapping for Grain Shape in the Rice RIL Population
    Wei, Minyi
    Luo, Tongping
    Huang, Dahui
    Ma, Zengfeng
    Liu, Chi
    Qin, Yuanyuan
    Wu, Zishuai
    Zhou, Xiaolong
    Lu, Yingping
    Yan, Liuhui
    Qin, Gang
    Zhang, Yuexiong
    PLANTS-BASEL, 2023, 12 (16):
  • [9] High-density genetic linkage-map construction of hawthorn and QTL mapping for important fruit traits
    Zhao, Yuhui
    Zhao, Yidi
    Guo, Yinshan
    Su, Kai
    Shi, Xiaochang
    Liu, Di
    Zhang, Jijun
    PLOS ONE, 2020, 15 (02):
  • [10] Construction of a High-Density Genetic Map Based on SLAF Markers and QTL Analysis of Leaf Size in Rice
    Wen, Yi
    Fang, Yunxia
    Hu, Peng
    Tan, Yiqing
    Wang, Yueying
    Hou, Linlin
    Deng, Xuemei
    Wu, Hao
    Zhu, Lixin
    Zhu, Li
    Chen, Guang
    Zeng, Dali
    Guo, Longbiao
    Zhang, Guangheng
    Gao, Zhenyu
    Dong, Guojun
    Ren, Deyong
    Shen, Lan
    Zhang, Qiang
    Xue, Dawei
    Qian, Qian
    Hu, Jiang
    FRONTIERS IN PLANT SCIENCE, 2020, 11