QTL Mapping Using a High-Density Genetic Map to Identify Candidate Genes Associated With Metribuzin Tolerance in Hexaploid Wheat (Triticum aestivumL.)

被引:10
|
作者
Xu, Ling [1 ,2 ,3 ]
Liu, Hui [2 ,3 ]
Kilian, Andrzej [4 ]
Bhoite, Roopali [2 ,3 ]
Liu, Guannan [2 ,3 ]
Si, Ping [2 ,3 ]
Wang, Jian [2 ,3 ,5 ,6 ]
Zhou, Weijun [5 ,6 ]
Yan, Guijun [2 ,3 ]
机构
[1] Zhejiang Sci Tech Univ, Coll Life Sci & Med, Zhejiang Prov Key Lab Plant Secondary Metab & Reg, Hangzhou, Peoples R China
[2] Univ Western Australia, Fac Sci, UWA Sch Agr & Environm, Crawley, WA, Australia
[3] Univ Western Australia, UWA Inst Agr, Crawley, WA, Australia
[4] Univ Canberra, Fac Sci & Technol, Divers Arrays Technol Pty Ltd, Bruce, ACT, Australia
[5] Zhejiang Univ, Inst Crop Sci, Hangzhou, Peoples R China
[6] Zhejiang Univ, Zhejiang Key Lab Crop Germplasm, Hangzhou, Peoples R China
来源
FRONTIERS IN PLANT SCIENCE | 2020年 / 11卷
关键词
wheat; metribuzin tolerance; quantitative trait loci; marker validation; candidate genes; F-BOX PROTEIN; EXOGENOUS JASMONIC ACID; HAIRY ROOT CULTURES; 3-KETOACYL-COA SYNTHASE; SALVIA-MILTIORRHIZA; BIOSYNTHESIS; METABOLISM; EXPRESSION; ELONGASE; L;
D O I
10.3389/fpls.2020.573439
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Tolerance to metribuzin, a broad-spectrum herbicide, is an important trait for weed control in wheat breeding. However, the genetics of metribuzin tolerance in relation to the underlying quantitative trait loci (QTL) and genes is limited. This study developed F(8)recombinant inbred lines (RILs) from a cross between a highly resistant genotype (Chuan Mai 25) and highly susceptible genotype (Ritchie), which were used for QTL mapping of metribuzin tolerance. Genotyping was done using a diversity arrays technology sequencing (DArTseq) platform, and phenotyping was done in controlled environments. Herbicide tolerance was measured using three traits, visual score (VS), reduction of chlorophyll content (RCC), and mean value of chlorophyll content for metribuzin-treated plants (MCC). A high-density genetic linkage map was constructed using 2,129 DArTseq markers. Inclusive composite interval mapping (ICIM) identified seven QTL, one each on chromosomes 2A, 2D, 3A, 3B, 4A, 5A, and 6A. Three major QTL-Qrcc.uwa.2AS,Qrcc.uwa.5AL, andQrcc.uwa.6AL-explained 11.39%, 11.06%, and 11.45% of the phenotypic variation, respectively. The 5A QTL was further validated using kompetitive allele-specific PCR (KASP) assays in an F(3)validation population developed from Chuan Mai 25 x Dagger. Blasting the single-nucleotide polymorphisms (SNPs) flanking the QTL in the wheat reference genome RefV1.0 revealed SNP markers within or very close to annotated genes which could be candidate genes responsible for metribuzin tolerance. Most of the candidate genes were related to metabolic detoxification, especially those of P450 pathway and xenobiotic transmembrane transporter activity, which are reportedly key molecules responsible for herbicide tolerance. This study is the first to use specially developed populations to conduct QTL mapping on the metribuzin tolerance trait. The three major QTL and candidate genes identified in this study could facilitate marker-assisted metribuzin breeding in wheat. The QTL could be fine-mapped to locate the genes responsible for metribuzin tolerance, which could be introgressed into elite wheat cultivars.
引用
收藏
页数:11
相关论文
共 50 条
  • [1] Mapping QTL for the traits associated with heat tolerance in wheat (Triticum aestivumL.)
    Shyamal Krishna Talukder
    Md Ali Babar
    Kolluru Vijayalakshmi
    Jesse Poland
    Pagadala Venkata Vara Prasad
    Robert Bowden
    Allan Fritz
    BMC Genetics, 15
  • [2] Identification and validation of QTL and their associated genes for pre-emergent metribuzin tolerance in hexaploid wheat (Triticum aestivum L.)
    Bhoite, Roopali
    Onyemaobi, Ifeyinwa
    Si, Ping
    Siddique, Kadambot H. M.
    Yan, Guijun
    BMC GENETICS, 2018, 19
  • [3] Identification and validation of QTL and their associated genes for pre-emergent metribuzin tolerance in hexaploid wheat (Triticum aestivum L.)
    Roopali Bhoite
    Ifeyinwa Onyemaobi
    Ping Si
    Kadambot H. M. Siddique
    Guijun Yan
    BMC Genetics, 19
  • [4] Fine-mapping QTLs and the validation of candidate genes for Aluminum tolerance using a high-density genetic map
    Cai, Zhandong
    Cheng, Yanbo
    Xian, Peiqi
    Lin, Rongbin
    Xia, Qiuju
    He, Xueke
    Liang, Qiwen
    Lian, Tengxiang
    Ma, Qibin
    Nian, Hai
    PLANT AND SOIL, 2019, 444 (1-2) : 119 - 137
  • [5] Identification of a major QTL for flag leaf glaucousness using a high-density SNP marker genetic map in hexaploid wheat
    Li Chun-lian
    Li Ting-ting
    Liu Tian-xiang
    Sun Zhong-pei
    Bai Gui-hua
    Jin Feng
    Wang Yong
    Wang Zhong-hua
    JOURNAL OF INTEGRATIVE AGRICULTURE, 2017, 16 (02) : 445 - 453
  • [6] Identification of a major QTL for flag leaf glaucousness using a high-density SNP marker genetic map in hexaploid wheat
    LI Chun-lian
    LI Ting-ting
    LIU Tian-xiang
    SUN Zhong-pei
    BAI Gui-hua
    JIN Feng
    WANG Yong
    WANG Zhong-hua
    Journal of Integrative Agriculture, 2017, 16 (02) : 445 - 453
  • [7] Mapping of a major QTL for salinity tolerance at the bud burst stage in rice (Oryza sativa L) using a high-density genetic map
    Lei, Lei
    Han, Zhenghong
    Cui, Bowen
    Yang, Luomiao
    Liu, Hualong
    Wang, Jingguo
    Zhao, Hongwei
    Xin, Wei
    Li, Xianwei
    Li, Jiaming
    Cui, Jingnan
    Xu, Shanbin
    Zou, Detang
    Zheng, Hongliang
    EUPHYTICA, 2021, 217 (08)
  • [8] Mapping of a major QTL for salinity tolerance at the bud burst stage in rice (Oryza sativa L) using a high-density genetic map
    Lei Lei
    Zhenghong Han
    Bowen Cui
    Luomiao Yang
    Hualong Liu
    Jingguo Wang
    Hongwei Zhao
    Wei Xin
    Xianwei Li
    Jiaming Li
    Jingnan Cui
    Shanbin Xu
    Detang Zou
    Hongliang Zheng
    Euphytica, 2021, 217
  • [9] QTL mapping of flag leaf traits in common wheat using an integrated high-density SSR and SNP genetic linkage map
    Qiuhong Wu
    Yongxing Chen
    Lin Fu
    Shenghui Zhou
    Jiaojiao Chen
    Xiaojie Zhao
    Dong Zhang
    Shuhong Ouyang
    Zhenzhong Wang
    Dan Li
    Guoxin Wang
    Deyun Zhang
    Chengguo Yuan
    Lixin Wang
    Mingshan You
    Jun Han
    Zhiyong Liu
    Euphytica, 2016, 208 : 337 - 351
  • [10] QTL mapping of melon fruit quality traits using a high-density GBS-based genetic map
    Pereira, L.
    Ruggieri, V.
    Perez, S.
    Alexiou, K. G.
    Fernandez, M.
    Jahrmann, T.
    Pujol, M.
    Garcia-Mas, J.
    BMC PLANT BIOLOGY, 2018, 18