Detection of QTLs for Cold Tolerance at the Booting Stage in Near-isogenic Lines Derived from Rice Landrace Lijiangxintuanheigu

被引:1
作者
Yang, Shu Ming [1 ]
Zhang, Su Hua [1 ,2 ]
Yang, Tao [1 ]
Wang, Li [3 ]
机构
[1] Yunnan Acad Agr Sci, Biotechnol & Genet Resources Inst, Kunming, Yunnan, Peoples R China
[2] Agr Biotechnol Key Lab Yunnan Prov, Kunming, Yunnan, Peoples R China
[3] Yunnan Agr Univ, Coll Agron & Biotechnol, Kunming, Yunnan, Peoples R China
基金
中国国家自然科学基金;
关键词
Oryza sativa; quantitative trait loci; near-isogenic lines; cold tolerance at the booting stage; CULTIVAR; GENE; REGION;
D O I
10.17221/98/2017-CJGPB
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Chilling damage significantly reduces grain yield in rice, while the utilisation of major quantitative trait loci (QTLs) can potentially improve rice yielding. Mapping of QTLs for 5 cold tolerance-related traits at the booting stage was conducted with SSR markers, including composite interval mapping (ICIM). 105 near-isogenic lines, derived from a backcross between Lijiangxintuanheigu (LTH, cold-tolerant landrace) and Towada (cold-sensitive cultivar) were analysed. Phenotype values were investigated under five cold-stress environments and analysed by the best linear unbiased prediction (BLUP). Twenty-one QTLs were identified on chromosomes 1, 2, 3, 4, 6, 7, 10 and 11, and the amount of variation (R-2) explained by each QTL ranged from 7.71 to 29.66%, with five co-located QTL regions. Eight novel major loci (qSF-2, qSF-6a, qSF-7, qGW-6, qDGWP-4, qDSWPP-4, qDWPP-1 and qDWPP-4b) were detected in several environments and by using BLUP. Their alleles were derived from the cultivar LTH with R-2 variance from 12.24 to 29.66%. These favourable QTLs would help to elucidate the genetic mechanism of cold tolerance and provide strategies for breeding of high-yielding rice.
引用
收藏
页码:93 / 100
页数:8
相关论文
共 24 条
  • [1] Cas R. A. F., 1987, Volcanic successions: Modern and ancient, DOI [DOI 10.1007/978-94-009-0951-9_6, 10.1007/978-94-009-3167-1, DOI 10.1007/978-94-009-3167-1]
  • [2] Genetic structure and isolation by altitude in rice landraces of Yunnan, China revealed by nucleotide and microsatellite marker polymorphisms
    Cui, Di
    Tang, Cuifeng
    Li, Jinmei
    A, Xinxiang
    Yu, Tengqiong
    Ma, Xiaoding
    Zhang, Enlai
    Wang, Yanjie
    Cao, Guilan
    Xu, Furong
    Dai, Luyuan
    Han, Longzhi
    Koh, Hee-Jong
    [J]. PLOS ONE, 2017, 12 (04):
  • [3] Avoiding damage and achieving cold tolerance in rice plants
    da Cruz, Renata
    Sperotto, Raul
    Cargnelutti, Denise
    Adamski, Janete
    de FreitasTerra, Tatiana
    Fett, Janette
    [J]. FOOD AND ENERGY SECURITY, 2013, 2 (02): : 96 - 119
  • [4] Detection of QTLs for cold tolerance of rice cultivar 'Kuchum' and effect of QTL pyramiding
    Endo, Takashi
    Chiba, Bunya
    Wagatsuma, Kensuke
    Saeki, Kenichi
    Ando, Tsuyu
    Shomura, Ayahiko
    Mizubayashi, Tatsumi
    Ueda, Tadamasa
    Yamamoto, Toshio
    Nishio, Takeshi
    [J]. THEORETICAL AND APPLIED GENETICS, 2016, 129 (03) : 631 - 640
  • [5] Effects of the number of pollen grains on cold tolerance at the booting stage in rice lines with QTLs for cold tolerance
    Fukushima, Akira
    Hayashi, Takami
    Ohta, Hisatoshi
    Kaji, Ryota
    Yokogami, Narifumi
    Tsuda, Naoto
    [J]. PLANT PRODUCTION SCIENCE, 2017, 20 (01) : 149 - 155
  • [6] Quantitative trait loci for cold tolerance of rice recombinant inbred lines in low temperature environments
    Jiang, Wenzhu
    Jin, Yong-Mei
    Lee, Joohyun
    Lee, Kang-Ie
    Piao, Rihua
    Han, Longzhi
    Shin, Jin-Chul
    Jin, Rong-De
    Cao, Tiehua
    Pan, Hong-Yu
    Du, Xinglin
    Koh, Hee-Jong
    [J]. MOLECULES AND CELLS, 2011, 32 (06) : 579 - 587
  • [7] A quantitative trait locus for cold tolerance at the booting stage on rice chromosome 8
    Kuroki, Makoto
    Saito, Koji
    Matsuba, Shuichi
    Yokogami, Narifumi
    Shimizu, Hiroyuki
    Ando, Ikuo
    Sato, Yutaka
    [J]. THEORETICAL AND APPLIED GENETICS, 2007, 115 (05) : 593 - 600
  • [8] Molecular characterization and functional analysis of the OsPsbR gene family in rice
    Li, Lihua
    Ye, Taozhi
    Gao, Xiaoling
    Chen, Rongjun
    Xu, Jinghong
    Xie, Chen
    Zhu, Jianqing
    Deng, Xiaojian
    Wang, Pingrong
    Xu, Zhengjun
    [J]. MOLECULAR GENETICS AND GENOMICS, 2017, 292 (02) : 271 - 281
  • [9] Best linear unbiased prediction for linear combinations in general mixed linear models
    Liu, Xu-Qing
    Rong, Jian-Ying
    Liu, Xiu-Ying
    [J]. JOURNAL OF MULTIVARIATE ANALYSIS, 2008, 99 (08) : 1503 - 1517
  • [10] Gene Nomenclature System for Rice
    McCouch, Susan R.
    [J]. RICE, 2008, 1 (01) : 72 - 84