Abstract

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.

Highlights

  • Spatial variation in the environment is a key force driving local adap‐ tation and population divergence (Hereford, 2009)

  • We (a) test for associations between Plasmodium infection status in this species (Spurgin et al, 2012), and variation at TLR4 and two single nucleotide polymorphisms (SNPs) previously identified in a genome‐wide association study (GWAS) of malaria infection across Berthelot's pipit populations (Armstrong et al, 2018); (b) deter‐ mine the environmental predictors of malaria risk on Porto Santo; (c) compare genetic associations with malaria risk in Porto Santo and Tenerife, utilizing the above measures of malaria risk for Porto Santo, and those previously calculated for Tenerife (González‐ Quevedo et al, 2016, 2014)

  • We used previously identified candidate SNPs linked to malaria infection across populations and TLR4 SNPs (González‐ Quevedo et al, 2015) to investigate the relationship between poten‐ tially adaptive genetic variation and avian malaria within two island populations of Berthelot's pipits

Read more

Summary

| INTRODUCTION

Spatial variation in the environment is a key force driving local adap‐ tation and population divergence (Hereford, 2009). We test for associations between fine‐scale patterns of genetic variation and malaria in Berthelot's pipits across two divergent populations (Tenerife and Porto Santo) to investigate the spatial scale of local adaptation in the presence of gene flow within a population. We (a) test for associations between Plasmodium infection status (the only Haemosporidian genus commonly detected; >1% prevalence) in this species (Spurgin et al, 2012), and variation at TLR4 and two SNPs previously identified in a GWAS of malaria infection across Berthelot's pipit populations (Armstrong et al, 2018); (b) deter‐ mine the environmental predictors of malaria risk on Porto Santo; (c) compare genetic associations with malaria risk in Porto Santo and Tenerife, utilizing the above measures of malaria risk for Porto Santo, and those previously calculated for Tenerife (González‐ Quevedo et al, 2016, 2014)

| MATERIALS AND METHODS
| Molecular methods
Findings
| DISCUSSION
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call