Mapping resistance to WBNV through CIM, JICIM and QTL-meta analysis approaches in watermelon

被引:2
作者
Maragal, Siddharood [1 ]
Rao, Eguru Sreenivasa [1 ]
Reddy, D. C. Lakshmana [2 ]
Samuel, D. K. [3 ]
机构
[1] ICAR Indian Inst Hort Res, Div Vegetable Crops, Bengaluru, India
[2] ICAR Indian Inst Hort Res, Div Plant Biotechnol, Bengaluru, India
[3] ICAR Indian Inst Hort Res, Div Plant Pathol, Bengaluru, India
关键词
Citrullus amarus; Orthotospovirus; Resistance; Linkage analysis; Meta analysis; SPOTTED-WILT-VIRUS; QUANTITATIVE TRAIT LOCI; BUD NECROSIS ORTHOTOSPOVIRUS; TOSPOVIRUSES BUNYAVIRIDAE; NATURAL INFECTION; CITRULLUS-LANATUS; PLANT-RESISTANCE; VEGETABLE CROPS; MAP; METAANALYSIS;
D O I
10.1016/j.scienta.2021.110475
中图分类号
S6 [园艺];
学科分类号
0902 ;
摘要
Since past three decades, tospoviruses have been impacting severe economic losses causing heavy yield reduction in many crops. Watermelon bud necrosis disease caused by watermelon bud necrosis orthotospovirus (WBNV) is one such tospovirus that has emerged as a devastating disease of watermelon in India. Efforts are underway to develop resistant varieties at ICAR-IIHR and in the current study, efforts have been made to integrate WBNV resistance QTLs from wide range of populations and screening experiments for a comprehensive analysis through QTL-meta-analysis and joint inclusive composite interval mapping (JICIM). Comprehensive analyses for QTLs suggested MQTL_WBNV_2.1 on Chromosome 2, MQTL_WBNV_3.2 on Chromosome 3 and MQTL_WBNV_7.2 on Chromosome 7 as potential candidate QTL regions for WBNV resistance. The genes identified in these QTLs viz., Cla020173 encoding PR-1, Cla001733 encoding pathogenesis-related transcriptional factor and ethylene-responsive transcription (ERF), Cla001590 and Cla001591 genes encoding acid phosphatase, Cla019476 encoding TIR-NBS and Cla011771 belonging to TIR-NBS-LRR gene family may be investigated as putative candidates for WBNV resistance in watermelon. The results obtained in present study may provide way for functional validation of putative candidates and development of suitable markers for marker assisted selection (MAS) of WBNV resistance in watermelon.
引用
收藏
页数:14
相关论文
共 50 条
  • [1] Understanding complex genetic architecture of rice grain weight through QTL-meta analysis and candidate gene identification
    Anilkumar, C.
    Sah, Rameswar Prasad
    Azharudheen, T. P. Muhammed
    Behera, Sasmita
    Singh, Namita
    Prakash, Nitish Ranjan
    Sunitha, N. C.
    Devanna, B. N.
    Marndi, B. C.
    Patra, B. C.
    Nair, Sunil Kumar
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [2] Soybean oil content QTL mapping and integrating with meta-analysis method for mining genes
    Qi, Zhao-ming
    Wu, Qiong
    Han, Xue
    Sun, Ya-nan
    Du, Xiang-yu
    Liu, Chun-yan
    Jiang, Hong-wei
    Hu, Guo-hua
    Chen, Qing-shan
    EUPHYTICA, 2011, 179 (03) : 499 - 514
  • [3] QTL Mapping for Gummy Stem Blight Resistance in Watermelon (Citrullus spp.)
    Lee, Eun Su
    Kim, Do-Sun
    Kim, Sang Gyu
    Huh, Yun-Chan
    Back, Chang-Gi
    Lee, Ye-Rin
    Siddique, Muhammad Irfan
    Han, Koeun
    Lee, Hye-Eun
    Lee, Jundae
    PLANTS-BASEL, 2021, 10 (03): : 1 - 17
  • [4] QTL mapping of soybean node numbers on the main stem and meta-analysis for mining candidate genes
    Yin, Zhengong
    Qi, Huidong
    Mao, Xinrui
    Wang, Jingxin
    Hu, Zhenbang
    Wu, Xiaoxia
    Liu, Chunyan
    Xin, Dawei
    Zuo, Xin
    Chen, Qingshan
    Qi, Zhaoming
    BIOTECHNOLOGY & BIOTECHNOLOGICAL EQUIPMENT, 2018, 32 (04) : 915 - 922
  • [5] A META-ANALYSIS OF QTL ASSOCIATED WITH EAR ROT RESISTANCE IN MAIZE
    Xiang, K.
    Zhang, Z. M.
    Reid, L. M.
    Zhu, X. Y.
    Yuan, G. S.
    Pan, G. T.
    MAYDICA, 2010, 55 (3-4): : 281 - 290
  • [6] Major Genomic Regions for Wheat Grain Weight as Revealed by QTL Linkage Mapping and Meta-Analysis
    Miao, Yongping
    Jing, Fanli
    Ma, Jingfu
    Liu, Yuan
    Zhang, Peipei
    Chen, Tao
    Che, Zhuo
    Yang, Delong
    FRONTIERS IN PLANT SCIENCE, 2022, 13
  • [7] A meta–QTL analysis of disease resistance traits of Theobroma cacao L.
    C. Lanaud
    O. Fouet
    D. Clément
    M. Boccara
    A. M. Risterucci
    S. Surujdeo-Maharaj
    T. Legavre
    X. Argout
    Molecular Breeding, 2009, 24 : 361 - 374
  • [8] Soybean plant height QTL mapping and meta-analysis for mining candidate genes
    Yin, Zhengong
    Qi, Huidong
    Chen, Qingshan
    Zhang, Zhanguo
    Jiang, Hongwei
    Zhu, Rongsheng
    Hu, Zhenbang
    Wu, Xiaoxia
    Li, Candong
    Zhang, Yong
    Liu, Chunyan
    Hu, Guohua
    Xin, Dawei
    Qi, Zhaoming
    PLANT BREEDING, 2017, 136 (05) : 688 - 698
  • [9] Unraveling genomic regions and candidate genes for multiple disease resistance in upland cotton using meta-QTL analysis
    Huo, Wen-Qi
    Zhang, Zhi-Qiang
    Ren, Zhong-Ying
    Zhao, Jun-Jie
    Song, Cheng-Xiang
    Wang, Xing-Xing
    Pei, Xiao-Yu
    Liu, Yan-Gai
    He, Kun-Lun
    Zhang, Fei
    Li, Xin-Yang
    Li, Wei
    Yang, Dai-Gang
    Ma, Xiong-Feng
    HELIYON, 2023, 9 (08)
  • [10] QTL for maize grain yield identified by QTL mapping in six environments and consensus loci for grain weight detected by meta-analysis
    Pan, Limei
    Yin, Zengqi
    Huang, Yaqun
    Chen, Jingtang
    Zhu, Liying
    Zhao, Yongfeng
    Guo, Jinjie
    PLANT BREEDING, 2017, 136 (06) : 820 - 833