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


Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
15 Mar 2019
Historique:
received: 01 11 2018
accepted: 11 03 2019
entrez: 17 3 2019
pubmed: 17 3 2019
medline: 23 8 2019
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 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.

Identifiants

pubmed: 30876405
doi: 10.1186/s12864-019-5592-6
pii: 10.1186/s12864-019-5592-6
pmc: PMC6420744
doi:

Substances chimiques

DNA, Helminth 0
Insecticides 0
Ivermectin 70288-86-7

Types de publication

Journal Article

Langues

eng

Pagination

218

Subventions

Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/M003949
Pays : United Kingdom

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Auteurs

Stephen R Doyle (SR)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK. sd21@sanger.ac.uk.

Christopher J R Illingworth (CJR)

Department of Genetics, University of Cambridge, Downing Street, Cambridge, CB2 3EH, UK.
Department of Applied Maths and Theoretical Physics, Wilberforce Road, Cambridge, CB3 0WA, UK.

Roz Laing (R)

Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Garscube Campus, Glasgow, G61 1QH, UK.

David J Bartley (DJ)

Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, EH26 0PZ, UK.

Elizabeth Redman (E)

Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

Axel Martinelli (A)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.
Present Address: Global Station for Zoonosis Control, Global Institution for Collaborative Research and Education (GI-CoRE), Hokkaido University, Sapporo, Japan.
Present Address: Biological and Environmental Sciences and Engineering (BESE) Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia.

Nancy Holroyd (N)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.

Alison A Morrison (AA)

Moredun Research Institute, Pentlands Science Park, Bush Loan, Penicuik, EH26 0PZ, UK.

Andrew Rezansoff (A)

Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada.

Alan Tracey (A)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.

Eileen Devaney (E)

Institute of Biodiversity Animal Health and Comparative Medicine, College of Medical, Veterinary and Life Sciences, University of Glasgow, Garscube Campus, Glasgow, G61 1QH, UK.

Matthew Berriman (M)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK.

Neil Sargison (N)

University of Edinburgh, Royal (Dick) School of Veterinary Studies, Edinburgh, EH25 9RG, UK.

James A Cotton (JA)

Wellcome Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK. jc17@sanger.ac.uk.

John S Gilleard (JS)

Department of Comparative Biology and Experimental Medicine, Faculty of Veterinary Medicine, University of Calgary, Calgary, Alberta, Canada. jsgillea@ucalgary.ca.

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Classifications MeSH