Loci and alleles for submergence responses revealed by GWAS and transcriptional analysis in rice

被引:0
|
作者
Hongsheng Gao
Chao Zhang
Huiying He
Tianjiao Liu
Bin Zhang
Hai Lin
Xiaoxia Li
Zhaoran Wei
Qiaoling Yuan
Quan Wang
Chunyan Yu
Lianguang Shang
机构
[1] Ludong University,College of Agriculture
[2] Chinese Academy of Agricultural Sciences,Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen
来源
Molecular Breeding | 2020年 / 40卷
关键词
GWAS; Transcriptomic analysis; Submergence; Rice coleoptile; Direct seeding;
D O I
暂无
中图分类号
学科分类号
摘要
The low seedling rate of rice caused by submergence in the process of rice direct seeding has always been an important factor limiting the popularization of rice direct seeding technology. Improving the tolerance of rice to submergence stress will benefit the production of rice and the promotion of direct seeding technology. In this study, we determined the submergence coleoptile length (SCL), submergence shoot length (SSL), and submergence tolerance index (STI) of 166 different cultivated rice seedlings as the phenotypes. Through the genome-wide association analysis (GWAS) of SCL, SSL, and STI, we found multiple quantitative trait locus (QTL) locations, including nine reported QTL locations. To narrow down the candidate gene numbers, we combined data from GWAS, transcriptomic analysis, gene function annotation, and reported QTL locations, and 50 candidate genes for submergence stress were obtained. Some reported genes had been firstly found to play certain roles in submergence-mediated growth response. Combining with reported RNA-seq data and expression profile data, we focused on four adjacent genes (LOC_Os11g47550, LOC_Os11g47570, LOC_Os11g47590, and LOC_Os11g47610) located in qAG11. RNA-seq and expression profile suggested the expression of these genes in sensitive and tolerant types differs hundreds of times (146~510 fold). Based on the diverse germplasms, we determined the natural haplotype of these genes. The haplotype analysis of these four genes showed a large genetic difference between indica and japonica. These results help us to better understand the molecular mechanism of natural variations in submergence tolerance among diverse germplasms and provide materials and new genes for further selection of new submergence tolerance varieties.
引用
收藏
相关论文
共 50 条
  • [41] Genome-Wide Responses to Selection and Genetic Networks Underlying Submergence Tolerance in Rice
    Wang, Wensheng
    Fu, Binying
    Ali, Jauhar
    Xu, Jianlong
    Gao, Yongming
    Zheng, Tianqing
    Zhang, Fan
    Li, Zhikang
    PLANT GENOME, 2015, 8 (02):
  • [42] Assessment of submergence stress responses and mining allelic variations of submergence tolerance gene Sub1A in Sri Lankan rice germplasm
    Kariyawasam, T.
    Nanayakkara, D.
    Sumanarathna, A.
    Weerasinghe, D.
    Suriyagoda, L.
    Jayatilake, D.
    JOURNAL OF THE NATIONAL SCIENCE FOUNDATION OF SRI LANKA, 2023, 51 (01): : 81 - 91
  • [43] Combination of twelve alleles at six quantitative trait loci determines grain weight in rice
    Zeng, Yuxiang
    Shi, Junsheng
    Ji, Zhijuan
    Wen, Zhihua
    Liang, Yan
    Yang, Changdeng
    PLOS ONE, 2017, 12 (07):
  • [44] Association analysis of GWAS and candidate gene loci in a Pakistani population with psoriasis
    Munir, Saeeda
    Rahman, Simeen Ber
    Rehman, Sadia
    Saba, Nusrat
    Ahmad, Wasim
    Nilsson, Staffan
    Mazhar, Kehkashan
    Naluai, Asa Torinsson
    MOLECULAR IMMUNOLOGY, 2015, 64 (01) : 190 - 194
  • [45] Connecting SNPs in diabetes: a spatial analysis of meta-GWAS loci
    Schierding, William
    O'Sullivan, Justin M.
    FRONTIERS IN ENDOCRINOLOGY, 2015, 6
  • [46] Developing rice lines possessing neutral alleles at sterility loci to improve the width of compatibility
    Lu, CG
    Zou, JS
    Ikehashi, H
    PLANT BREEDING, 2004, 123 (01) : 98 - 100
  • [47] Combination of Eight Alleles at Four Quantitative Trait Loci Determines Grain Length in Rice
    Zeng, Yuxiang
    Ji, Zhijuan
    Wen, Zhihua
    Liang, Yan
    Yang, Changdeng
    PLOS ONE, 2016, 11 (03):
  • [48] Differential responses of sorghum genotypes to drought stress revealed by physio-chemical and transcriptional analysis
    Rajarajan, K.
    Ganesamurthy, K.
    Raveendran, M.
    Jeyakumar, P.
    Yuvaraja, A.
    Sampath, P.
    Prathima, P. T.
    Senthilraja, C.
    MOLECULAR BIOLOGY REPORTS, 2021, 48 (03) : 2453 - 2462
  • [49] IDENTIFICATION OF NEW CANDIDATE LOCI IN PROGRESSION OF HEPATOBLASTOMA USING GWAS ANALYSIS
    Kamimatsuse, Arata
    Hiyama, Eiso
    Ogura, Kaoru
    Kamei, Naomi
    Ueda, Yuka
    Sueda, Taijiro
    PEDIATRIC BLOOD & CANCER, 2011, 57 (05) : 728 - 728
  • [50] SUB1A-1 anchors a regulatory cascade for epigenetic and transcriptional controls of submergence tolerance in rice
    Lin, Chih-Cheng
    Lee, Wan-Jia
    Zeng, Cyong-Yu
    Chou, Mei-Yi
    Lin, Ting-Jhen
    Lin, Choun-Sea
    Ho, Meng-Chiao
    Shih, Ming-Che
    PNAS NEXUS, 2023, 2 (07):