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    Population genomic and evolutionary modelling analyses reveal a single major QTL for ivermectin drug resistance in the pathogenic nematode, Haemonchus contortus

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    Type
    Dataset
    Authors
    Doyle, Stephen R.
    Illingworth, Christopher J. R.
    Laing, Roz
    Bartley, David J.
    Redman, Elizabeth
    Martinelli, Axel
    Holroyd, Nancy
    Morrison, Alison A.
    Rezansoff, Andrew
    Tracey, Alan
    Devaney, Eileen
    Berriman, Matthew
    Sargison, Neil
    Cotton, James A.
    Gilleard, John S.
    KAUST Department
    Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.
    Date
    2019
    Permanent link to this record
    http://hdl.handle.net/10754/664503
    
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    Abstract
    Abstract Background Infections with helminths cause an enormous disease burden in billions of animals and plants worldwide. Large scale use of anthelmintics has driven the evolution of resistance in a number of species that infect livestock and companion animals, and there are growing concerns regarding the reduced efficacy in some human-infective helminths. Understanding the mechanisms by which resistance evolves is the focus of increasing interest; robust genetic analysis of helminths is challenging, and although many candidate genes have been proposed, the genetic basis of resistance remains poorly resolved. Results Here, we present a genome-wide analysis of two genetic crosses between ivermectin resistant and sensitive isolates of the parasitic nematode Haemonchus contortus, an economically important gastrointestinal parasite of small ruminants and a model for anthelmintic research. Whole genome sequencing of parental populations, and key stages throughout the crosses, identified extensive genomic diversity that differentiates populations, but after backcrossing and selection, a single genomic quantitative trait locus (QTL) localised on chromosome V was revealed to be associated with ivermectin resistance. This QTL was common between the two geographically and genetically divergent resistant populations and did not include any leading candidate genes, suggestive of a previously uncharacterised mechanism and/or driver of resistance. Despite limited resolution due to low recombination in this region, population genetic analyses and novel evolutionary models supported strong selection at this QTL, driven by at least partial dominance of the resistant allele, and that large resistance-associated haplotype blocks were enriched in response to selection. Conclusions We have described the genetic architecture and mode of ivermectin selection, revealing a major genomic locus associated with ivermectin resistance, the most conclusive evidence to date in any parasitic nematode. This study highlights a novel genome-wide approach to the analysis of a genetic cross in non-model organisms with extreme genetic diversity, and the importance of a high-quality reference genome in interpreting the signals of selection so identified.
    Citation
    Doyle, S., Illingworth, C., Roz Laing, Bartley, D., Redman, E., Martinelli, A., Holroyd, N., Morrison, A., Rezansoff, A., Tracey, A., Devaney, E., Berriman, M., Sargison, N., Cotton, J., & Gilleard, J. (2019). Population genomic and evolutionary modelling analyses reveal a single major QTL for ivermectin drug resistance in the pathogenic nematode, Haemonchus contortus. Figshare. https://doi.org/10.6084/M9.FIGSHARE.C.4436576.V1
    Publisher
    figshare
    DOI
    10.6084/m9.figshare.c.4436576.v1
    Relations
    Is Supplement To:
    • [Article]
      Doyle SR, Illingworth CJR, Laing R, Bartley DJ, Redman E, et al. (2019) Population genomic and evolutionary modelling analyses reveal a single major QTL for ivermectin drug resistance in the pathogenic nematode, Haemonchus contortus. BMC Genomics 20. Available: http://dx.doi.org/10.1186/s12864-019-5592-6.. DOI: 10.1186/s12864-019-5592-6 HANDLE: 10754/631748
    ae974a485f413a2113503eed53cd6c53
    10.6084/m9.figshare.c.4436576.v1
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