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Adaptive landscape genetics and malaria across divergent island bird populations

Environmental conditions play a major role in shaping the spatial distributions of pathogens, which in turn can drive local adaptation and divergence in host genetic diversity. Haemosporidians, such as Plasmodium (malaria), are a strong selective force, impacting survival and fitness of hosts, with...

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Autores principales: Armstrong, Claire, Davies, Richard G., González‐Quevedo, Catalina, Dunne, Molly, Spurgin, Lewis G., Richardson, David S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875583/
https://www.ncbi.nlm.nih.gov/pubmed/31788192
http://dx.doi.org/10.1002/ece3.5700
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author Armstrong, Claire
Davies, Richard G.
González‐Quevedo, Catalina
Dunne, Molly
Spurgin, Lewis G.
Richardson, David S.
author_facet Armstrong, Claire
Davies, Richard G.
González‐Quevedo, Catalina
Dunne, Molly
Spurgin, Lewis G.
Richardson, David S.
author_sort Armstrong, Claire
collection PubMed
description Environmental conditions play a major role in shaping the spatial distributions of pathogens, which in turn can drive local adaptation and divergence in host genetic diversity. Haemosporidians, such as Plasmodium (malaria), are a strong selective force, impacting survival and fitness of hosts, with geographic distributions largely determined by habitat suitability for their insect vectors. Here, we have tested whether patterns of fine‐scale local adaptation to malaria are replicated across discrete, ecologically differing island populations of Berthelot's pipits Anthus berthelotii. We sequenced TLR4, an innate immunity gene that is potentially under positive selection in Berthelot's pipits, and two SNPs previously identified as being associated with malaria infection in a genome‐wide association study (GWAS) in Berthelot's pipits in the Canary Islands. We determined the environmental predictors of malaria infection, using these to estimate variation in malaria risk on Porto Santo, and found some congruence with previously identified environmental risk factors on Tenerife. We also found a negative association between malaria infection and a TLR4 variant in Tenerife. In contrast, one of the GWAS SNPs showed an association with malaria risk in Porto Santo, but in the opposite direction to that found in the Canary Islands GWAS. Together, these findings suggest that disease‐driven local adaptation may be an important factor in shaping variation among island populations.
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spelling pubmed-68755832019-11-29 Adaptive landscape genetics and malaria across divergent island bird populations Armstrong, Claire Davies, Richard G. González‐Quevedo, Catalina Dunne, Molly Spurgin, Lewis G. Richardson, David S. Ecol Evol Original Research Environmental conditions play a major role in shaping the spatial distributions of pathogens, which in turn can drive local adaptation and divergence in host genetic diversity. Haemosporidians, such as Plasmodium (malaria), are a strong selective force, impacting survival and fitness of hosts, with geographic distributions largely determined by habitat suitability for their insect vectors. Here, we have tested whether patterns of fine‐scale local adaptation to malaria are replicated across discrete, ecologically differing island populations of Berthelot's pipits Anthus berthelotii. We sequenced TLR4, an innate immunity gene that is potentially under positive selection in Berthelot's pipits, and two SNPs previously identified as being associated with malaria infection in a genome‐wide association study (GWAS) in Berthelot's pipits in the Canary Islands. We determined the environmental predictors of malaria infection, using these to estimate variation in malaria risk on Porto Santo, and found some congruence with previously identified environmental risk factors on Tenerife. We also found a negative association between malaria infection and a TLR4 variant in Tenerife. In contrast, one of the GWAS SNPs showed an association with malaria risk in Porto Santo, but in the opposite direction to that found in the Canary Islands GWAS. Together, these findings suggest that disease‐driven local adaptation may be an important factor in shaping variation among island populations. John Wiley and Sons Inc. 2019-10-02 /pmc/articles/PMC6875583/ /pubmed/31788192 http://dx.doi.org/10.1002/ece3.5700 Text en © 2019 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research
Armstrong, Claire
Davies, Richard G.
González‐Quevedo, Catalina
Dunne, Molly
Spurgin, Lewis G.
Richardson, David S.
Adaptive landscape genetics and malaria across divergent island bird populations
title Adaptive landscape genetics and malaria across divergent island bird populations
title_full Adaptive landscape genetics and malaria across divergent island bird populations
title_fullStr Adaptive landscape genetics and malaria across divergent island bird populations
title_full_unstemmed Adaptive landscape genetics and malaria across divergent island bird populations
title_short Adaptive landscape genetics and malaria across divergent island bird populations
title_sort adaptive landscape genetics and malaria across divergent island bird populations
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6875583/
https://www.ncbi.nlm.nih.gov/pubmed/31788192
http://dx.doi.org/10.1002/ece3.5700
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