Meta-analysis reveals consensus genomic regions associated with multiple disease resistance in wheat (Triticum aestivum L.)

被引:0
|
作者
Dinesh Kumar Saini
Amneek Chahal
Neeraj Pal
Puja Srivastava
Pushpendra Kumar Gupta
机构
[1] Punjab Agricultural University,Department of Plant Breeding and Genetics
[2] Punjab Agricultural University,College of Agriculture
[3] University of Agriculture and Technology,Department of Molecular Biology and Genetic Engineering, G. B. Pant
[4] Ch. Charan Singh University,Department of Genetics and Plant Breeding
来源
Molecular Breeding | 2022年 / 42卷
关键词
Meta-analysis; Wheat; Multiple disease resistance; Genome-wide association studies; Candidate genes;
D O I
暂无
中图分类号
学科分类号
摘要
In wheat, meta-QTLs (MQTLs) and candidate genes (CGs) were identified for multiple disease resistance (MDR). For this purpose, information was collected from 58 studies for mapping QTLs for resistance to one or more of the five diseases. As many as 493 QTLs were available from these studies, which were distributed in five diseases as follows: septoria tritici blotch (STB) 126 QTLs; septoria nodorum blotch (SNB), 103 QTLs; fusarium head blight (FHB), 184 QTLs; karnal bunt (KB), 66 QTLs; and loose smut (LS), 14 QTLs. Of these 493 QTLs, only 291 QTLs could be projected onto a consensus genetic map, giving 63 MQTLs. The CI of the MQTLs ranged from 0.04 to 15.31 cM with an average of 3.09 cM per MQTL. This is a ~ 4.39 fold reduction from the CI of QTLs, which ranged from 0 to 197.6 cM, with a mean of 13.57 cM. Of 63 MQTLs, 60 were anchored to the reference physical map of wheat (the physical interval of these MQTLs ranged from 0.30 to 726.01 Mb with an average of 74.09 Mb). Thirty-eight (38) of these MQTLs were verified using marker–trait associations (MTAs) derived from genome-wide association studies. As many as 874 CGs were also identified which were further investigated for differential expression using data from five transcriptome studies, resulting in 194 differentially expressed candidate genes (DECGs). Among the DECGs, 85 genes had functions previously reported to be associated with disease resistance. These results should prove useful for fine mapping and cloning of MDR genes and marker-assisted breeding.
引用
收藏
相关论文
共 50 条
  • [41] Molecular basis of powdery mildew resistance in wheat (Triticum aestivum L.)
    Niu, Jishan
    He, Dexian
    AFRICAN JOURNAL OF BIOTECHNOLOGY, 2009, 8 (19): : 4708 - 4716
  • [42] Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)
    Jian-fang Bai
    Yu-kun Wang
    Li-ping Guo
    Xiao-ming Guo
    Hao-yu Guo
    Shao-hua Yuan
    Wen-jing Duan
    Zihan Liu
    Chang-ping Zhao
    Feng-ting Zhang
    Li-ping Zhang
    BMC Genomics, 20
  • [43] QUANTITATIVE TRAIT LOCI IN BREAD WHEAT (TRITICUM AESTIVUM L.) ASSOCIATED WITH RESISTANCE TO STRIPE RUST
    Badakhshan, H.
    Mohammadi, S. A.
    Zad, S. Ahari
    Moghaddam, M.
    Kamali, M. R. Jalal
    Khodarahmi, M.
    BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT, 2008, 22 (04) : 901 - 906
  • [44] Genes Associated with Foliar Resistance to Septoria Nodorum Blotch of Hexaploid Wheat (Triticum aestivum L.)
    Li, Dora
    Walker, Esther
    Francki, Michael
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2021, 22 (11)
  • [45] Genomic identification and characterization of MYC family genes in wheat (Triticum aestivum L.)
    Bai, Jian-fang
    Wang, Yu-kun
    Guo, Li-ping
    Guo, Xiao-ming
    Guo, Hao-yu
    Yuan, Shao-hua
    Duan, Wen-jing
    Liu, Zihan
    Zhao, Chang-ping
    Zhang, Feng-ting
    Zhang, Li-ping
    BMC GENOMICS, 2019, 20 (01)
  • [46] Integrated meta-QTL and in silico transcriptome assessment pinpoint major genomic regions responsible for spike length in wheat (Triticum aestivum L.)
    Yang, Changgang
    Zhang, Xueting
    Wang, Shihong
    Liu, Na
    PLANT GENOME, 2024, 17 (03):
  • [47] Transcriptome analysis during vernalization in wheat (Triticum aestivum L.)
    Wang, Jiao
    Sun, Lei
    Zhang, Hongwei
    Jiao, Bo
    Wang, Haibo
    Zhou, Shuo
    BMC GENOMIC DATA, 2023, 24 (01):
  • [48] Genetic analysis of salinity tolerance in wheat (Triticum aestivum L.)
    Omrani, Saeed
    Arzani, Ahmad
    Moghaddam, Mohsen Esmaeilzadeh
    Mahlooji, Mehrdad
    PLOS ONE, 2022, 17 (03):
  • [49] GENETIC ANALYSIS OF SPIKE TRAITS IN WHEAT (Triticum aestivum L.)
    Shamsabadi, Ensieh Es'haghi
    Sabouri, Hossein
    Soughi, Habibollah
    Sajadi, Seyed Javad
    GENETIKA-BELGRADE, 2020, 52 (02): : 559 - 569
  • [50] Transcriptome analysis during vernalization in wheat (Triticum aestivum L.)
    Jiao Wang
    Lei Sun
    Hongwei Zhang
    Bo Jiao
    Haibo Wang
    Shuo Zhou
    BMC Genomic Data, 24