Deciphering genetic mechanisms of Al toxicity tolerance through meta-QTL analysis in rice ( Oryza sativa L.)

被引:0
|
作者
Jaiswal, Sandeep [1 ]
Kumari, Anita [2 ]
Kumar, Kuldeep [3 ]
Laxmi, Vijaya [2 ]
Kaur, Simardeep [1 ]
Kumar, Amit [1 ]
Verma, Harendra [4 ]
Shimray, Philanim [1 ]
Touthang, Letngam [1 ]
Talukdar, Manjeet [1 ]
Mishra, Vinay Kumar [1 ]
Singh, Binay K. [1 ]
机构
[1] ICAR Res Complex NEH Reg, Umiam 793103, Meghalaya, India
[2] Univ Delhi, Dept Bot, New Delhi 110007, India
[3] ICAR Res Complex, Indian Inst Pulse Res, Kanpur 208024, Uttar Pradesh, India
[4] Nagaland Ctr, ICAR Res Complex NEH Reg, Medziphema 797106, Nagaland, India
关键词
Rice; Aluminium toxicity tolerance; Meta-QTL analysis; Gene mapping; Crop breeding; QUANTITATIVE-TRAIT LOCI; ALUMINUM TOLERANCE; INTERNAL DETOXIFICATION; ACID-PHOSPHATASE; OXIDATIVE STRESS; ABC TRANSPORTER; IDENTIFICATION; PROTEIN; GROWTH; BIOMERCATOR;
D O I
10.1016/j.envexpbot.2024.106030
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Rice is known for its tolerance to high aluminum (Al) concentrations in soil. However, the precise genetic and physiological mechanisms are yet to be fully understood. Recent research has identified several candidate genes (CGs) and quantitative trait loci (QTLs) associated with Al toxicity tolerance in rice. Nevertheless, many more QTLs/genes are yet to be precisely mapped. We employed meta-QTL (M-QTL) analysis, integrating 12 independent mapping studies and 5 Genome-Wide Association Studies (GWAS). The meta-analysis identified 53 MQTLs from 157 projected QTLs, which were further narrowed down to 28 M-QTLs based on the number of overlapping QTLs on a consensus map. Gene identification through batch retrieval from the RAP database yielded 2765 non-redundant genes within the 28 M-QTL regions. Comparison of M-QTL CGs with six expression datasets associated with Al toxicity tolerance in rice resulted in the identification of 219 CGs with significant differential expression. Notably, 34 CGs were identified to be common across at least 2 studies. Further downstream analyses of CGs revealed the presence of cis-regulatory elements, transcription factors, and transporter proteins related to the Al toxicity tolerance response. Additionally, we analyzed the expression patterns of the four CGs, namely NRT2.3, ALMT4, MT1, and MTP11, which showed significant upregulation in the Al toxicitytolerant rice genotype, Anjali. Conversely, in the sensitive genotype Swarna, only NRT2.3 exhibited upregulation, while ALMT4, MT1, and MTP11 were downregulated. Our study highlights significant meta-regions that hold the potential for improving rice genotypes for enhanced tolerance to Al toxicity in acidic soils.
引用
收藏
页数:15
相关论文
共 50 条
  • [41] Arsenic toxicity to rice (Oryza sativa L.) in Bangladesh
    Panaullah, Golam M.
    Alam, Tariqul
    Hossain, M. Baktear
    Loeppert, Richard H.
    Lauren, Julie G.
    Meisner, Craig A.
    Ahmed, Zia U.
    Duxbury, John M.
    PLANT AND SOIL, 2009, 317 (1-2) : 31 - 39
  • [42] Arsenic toxicity to rice (Oryza sativa L.) in Bangladesh
    Golam M. Panaullah
    Tariqul Alam
    M. Baktear Hossain
    Richard H. Loeppert
    Julie G. Lauren
    Craig A. Meisner
    Zia U. Ahmed
    John M. Duxbury
    Plant and Soil, 2009, 317 : 31 - 39
  • [43] Meta-Analysis of Quantitative Traits Loci (QTL) Identified in Drought Response in Rice (Oryza sativa L.)
    Selamat, Nurhanis
    Nadarajah, Kalaivani K.
    PLANTS-BASEL, 2021, 10 (04):
  • [44] GENETIC-ANALYSIS OF SALINITY TOLERANCE IN RICE (ORYZA-SATIVA L)
    GREGORIO, GB
    SENADHIRA, D
    THEORETICAL AND APPLIED GENETICS, 1993, 86 (2-3) : 333 - 338
  • [45] Genetic diversity and genetic analysis for pigmented pericarps in rice (Oryza sativa L.)
    Van Quang T.
    Van Loc N.
    Trung N.Q.
    Huyen T.T.
    Van Huy L.
    Tuoi N.T.H.
    Vegetos, 2024, 37 (6): : 2413 - 2422
  • [46] The Effect of Genetic Background on QTL Mapping of Cooking Quality Traits in Rice (Oryza sativa L.)
    Fotokian, M. H.
    Angaji, H.
    Mohammadinejad, G.
    Ahamadi, J.
    PROCEEDINGS OF 2010 INTERNATIONAL CONFERENCE ON CHEMICAL ENGINEERING AND APPLICATIONS, 2010, : 401 - 405
  • [47] QTL ANALYSIS FOR YIELD COMPONENTS IN RICE (ORYZA SATIVA L.) UNDER DIFFERENT ENVIRONMENTS
    Benmoussa, Mebrouk
    Achouch, Abderrahmane
    Zhu, Jun
    JOURNAL OF CENTRAL EUROPEAN AGRICULTURE, 2005, 6 (03): : 317 - 322
  • [48] QTL Analysis for Traits Associated with Feeding Value of Straw in Rice (Oryza sativa L.)
    Dong, Chen-fei
    Cai, Qing-sheng
    Wang, Cai-lin
    Harada, Jiro
    Nemoto, Keisuke
    Shen, Yi-xin
    RICE SCIENCE, 2008, 15 (03) : 195 - 200
  • [49] QTL Analysis for Traits Associated with Feeding Value of Straw in Rice (Oryza sativa L.)
    Jiro HARADA
    Keisuke NEMOTO
    Rice Science, 2008, (03) : 195 - 200
  • [50] QTL analysis for yield components in rice (Oryza sativa L.) under different environments
    Benmoussa, Mebrouk
    Achouch, Abderrahmane
    Zhu, Jun
    Bulletin of the University of Agricultural Science and Veterinary Medicine, Vol 61, 2005: AGRICULTURE, 2005, 61 : 70 - 75