Population Genomics Provide Insights into the Evolution and Adaptation of the Asia Corn Borer

被引:12
作者
Peng, Yan [1 ,2 ]
Jin, Minghui [2 ]
Li, Zhimin [1 ,2 ]
Li, Hongran [2 ]
Zhang, Lei [2 ]
Yu, Songmiao [2 ]
Zhang, Zhuting [2 ]
Fan, Ruyi [1 ,3 ]
Liu, Jimin [1 ,3 ]
Xu, Qi [2 ]
Wilson, Kenneth [2 ,4 ]
Xiao, Yutao [2 ]
机构
[1] Huazhong Agr Univ, Coll Plant Sci & Technol, Wuhan, Peoples R China
[2] Chinese Acad Agr Sci, Agr Genom Inst Shenzhen, Minist Agr & Rural Affairs, Shenzhen Branch,Guangdong Lab Lingnan Modern Agr,K, Shenzhen, Peoples R China
[3] Guangxi Acad Agr Sci, Plant Protect Res Inst, Guangxi Key Lab Biol Crop Dis & Insect Pests, Key Lab Green Prevent & Control Fruits & Vegetable, Nanning, Peoples R China
[4] Univ Lancaster, Lancaster Environm Ctr, Lancaster, England
关键词
Ostrinia furnacalis; climatic adaptation; the risk of adaptation; population genomics; OSTRINIA-FURNACALIS; DROSOPHILA-MELANOGASTER; COLD-HARDINESS; SEQUENCE; ASSOCIATION; DIAPAUSE; LENGTH; TOOL; ANNOTATION; PREDICTION;
D O I
10.1093/molbev/msad112
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Understanding the genetic basis of pest adaptive evolution and the risk of adaptation in response to climate change is essential for the development of sustainable agricultural practices. However, the genetic basis of climatic adaptation for the Asian corn borer (ACB), Ostrinia furnacalis, the main pest of corn in Asia and Oceania, is poorly understood. Here, we revealed the genomic loci underlying the climatic adaptation and evolution in ACB by integrating population genomic and environmental factors. We assembled a 471-Mb chromosome-scale reference genome of ACB and resequenced 423 individuals covering 27 representative geographic areas. We inferred that the ACB effective population size changes tracked with the global temperature and followed by a recent decline. Based on an integrated analysis of whole-genome selection scans and genome-wide genotype-environment association studies, we revealed the genetic basis of ACB adaption to diverse climates. For diapause traits, we identified a major effect association locus containing a circadian clock gene (period) by analyzing a diapause-segregating population. Moreover, our predictions indicated that the northern populations were more ecologically resilient to climate change than the southern populations. Together, our results revealed the genomic basis for ACB environmental adaptation and provided potential candidate genes for future evolutionary studies and genetic adaptation to climate change, intending to maintain the efficacy and sustainability of novel control techniques.
引用
收藏
页数:18
相关论文
共 119 条
  • [1] Asian corn borer (ACB) and non-ACB pests in GM corn (Zea mays L.) inthe Philippines
    Afidchao, Miladis M.
    Musters, C. J. M.
    de Snoo, Geert R.
    [J]. PEST MANAGEMENT SCIENCE, 2013, 69 (07) : 792 - 801
  • [2] Fast model-based estimation of ancestry in unrelated individuals
    Alexander, David H.
    Novembre, John
    Lange, Kenneth
    [J]. GENOME RESEARCH, 2009, 19 (09) : 1655 - 1664
  • [3] SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data
    Barbato, Mario
    Orozco-terWengel, Pablo
    Tapio, Miika
    Bruford, Michael W.
    [J]. FRONTIERS IN GENETICS, 2015, 6
  • [4] Genomic signals of selection predict climate-driven population declines in a migratory bird
    Bay, Rachael A.
    Harrigan, Ryan J.
    Le Underwood, Vinh
    Gibbs, H. Lisle
    Smith, Thomas B.
    Ruegg, Kristen
    [J]. SCIENCE, 2018, 359 (6371) : 83 - +
  • [5] Predicting Responses to Contemporary Environmental Change Using Evolutionary Response Architectures
    Bay, Rachael A.
    Rose, Noah
    Barrett, Rowan
    Bernatchez, Louis
    Ghalambor, Cameron K.
    Lasky, Jesse R.
    Brem, Rachel B.
    Palumbi, Stephen R.
    Ralph, Peter
    [J]. AMERICAN NATURALIST, 2017, 189 (05) : 463 - 473
  • [6] GeneWise and genomewise
    Birney, E
    Clamp, M
    Durbin, R
    [J]. GENOME RESEARCH, 2004, 14 (05) : 988 - 995
  • [7] A One-Penny Imputed Genome from Next-Generation Reference Panels
    Browning, Brian L.
    Zhou, Ying
    Browning, Sharon R.
    [J]. AMERICAN JOURNAL OF HUMAN GENETICS, 2018, 103 (03) : 338 - 348
  • [8] Bruna T., 2020, NAR Genom Bioinform, V2
  • [9] Population genomic data in spider mites point to a role for local adaptation in shaping range shifts
    Chen, Lei
    Sun, Jing-Tao
    Jin, Peng-Yu
    Hoffmann, Ary A.
    Bing, Xiao-Li
    Zhao, Dian-Shu
    Xue, Xiao-Feng
    Hong, Xiao-Yue
    [J]. EVOLUTIONARY APPLICATIONS, 2020, 13 (10): : 2821 - 2835
  • [10] Chen Nansheng, 2004, Curr Protoc Bioinformatics, VChapter 4, DOI 10.1002/0471250953.bi0410s05