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Sheppard, Eleanor C., Martin, Claudia A. 
ORCID: https://orcid.org/0000-0003-2645-0790, Armstrong, Claire, González-Quevedo, Catalina, Illera, Juan Carlos, Suh, Alexander ORCID: https://orcid.org/0000-0002-8979-9992, Spurgin, Lewis G. and Richardson, David S. ORCID: https://orcid.org/0000-0001-7226-9074
(2024)
Genotype–environment associations reveal genes potentially linked to avian malaria infection in populations of an endemic island bird.
Molecular Ecology, 33 (8).
ISSN 0962-1083
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Abstract
Patterns of pathogen prevalence are, at least partially, the result of coevolutionary host–pathogen interactions. Thus, exploring the distribution of host genetic variation in relation to infection by a pathogen within and across populations can provide important insights into mechanisms of host defence and adaptation. Here, we use a landscape genomics approach (Bayenv) in conjunction with genome-wide data (ddRADseq) to test for associations between avian malaria (Plasmodium) prevalence and host genetic variation across 13 populations of the island endemic Berthelot's pipit (Anthus berthelotii). Considerable and consistent spatial heterogeneity in malaria prevalence was observed among populations over a period of 15 years. The prevalence of malaria infection was also strongly positively correlated with pox (Avipoxvirus) prevalence. Multiple host loci showed significant associations with malaria prevalence after controlling for genome-wide neutral genetic structure. These sites were located near to or within genes linked to metabolism, stress response, transcriptional regulation, complement activity and the inflammatory response, many previously implicated in vertebrate responses to malarial infection. Our findings identify diverse genes – not just limited to the immune system – that may be involved in host protection against malaria and suggest that spatially variable pathogen pressure may be an important evolutionary driver of genetic divergence among wild animal populations, such as Berthelot's pipit. Furthermore, our data indicate that spatio-temporal variation in multiple different pathogens (e.g. malaria and pox in this case) may have to be studied together to develop a more holistic understanding of host pathogen-mediated evolution.
| Item Type: | Article |
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| Additional Information: | Data availability statement: All data and the code used to perform the analysis within this manuscript are openly available on the Dryad Digital Repository: https://doi.org/10.5061/dryad.k6djh9w9j. Funding Information: This work was supported by Natural Environment Research Council (NERC) studentships awarded to ECS through the ARIES DTP (NE/S007334/1), and to CAM and CA through the EnvEAST DTP (NE/L002582/1), the former of which is a CASE award with the Institute of Natural Products and Agrobiology (IPNA\u2010CSIC). JCI was funded by a research grant from the Spanish Ministry of Science, Innovation and Universities and the European Regional Development Fund (PGC2018\u2010097575\u2010B\u2010I00) and by a Regional Government of Asturias grant from the Regional Government of Asturias (AYUD/2021/51261). |
| Uncontrolled Keywords: | adaptation,avian malaria,birds,genotype–environment association,immune defence,pathogen-mediated selection,ecology, evolution, behavior and systematics,genetics,sdg 3 - good health and well-being ,/dk/atira/pure/subjectarea/asjc/1100/1105 |
| Faculty \ School: | Faculty of Science > School of Biological Sciences |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 05 Nov 2024 12:30 |
| Last Modified: | 12 Nov 2024 13:31 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/97508 |
| DOI: | 10.1111/mec.17329 |
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