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Publication details
Signals of positive selection in genomes of palearctic <i>Myotis</i>-bats coexisting with a fungal pathogen
Authors | |
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Year of publication | 2024 |
Type | Article in Periodical |
Magazine / Source | BMC Genomics |
MU Faculty or unit | |
Citation | |
Web | https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-024-10722-3#article-info |
Doi | http://dx.doi.org/10.1186/s12864-024-10722-3 |
Keywords | Positive selection; Disease; Fungal pathogen; Bats; Adaptation; Tolerance |
Description | Disease can act as a driving force in shaping genetic makeup across populations, even species, if the impacts influence a particularly sensitive part of their life cycles. White-nose disease is caused by a fungal pathogen infecting bats during hibernation. The mycosis has caused massive population declines of susceptible species in North America, particularly in the genus Myotis. However, Myotis bats appear to tolerate infection in Eurasia, where the fungal pathogen has co-evolved with its bat hosts for an extended period of time. Therefore, with susceptible and tolerant populations, the fungal disease provides a unique opportunity to tease apart factors contributing to tolerance at a genomic level to and gain an understanding of the evolution of non-harmful in host-parasite interactions. To investigate if the fungal disease has caused adaptation on a genomic level in Eurasian bat species, we adopted both whole-genome sequencing approaches and a literature search to compile a set of 300 genes from which to investigate signals of positive selection in genomes of 11 Eurasian bats at the codon-level. Our results indicate significant positive selection in 38 genes, many of which have a marked role in responses to infection. Our findings suggest that white-nose syndrome may have applied a significant selective pressure on Eurasian Myotis-bats in the past, which can contribute their survival in co-existence with the pathogen. Our findings provide an insight on the selective pressure pathogens afflict on their hosts using methodology that can be adapted to other host-pathogen study systems. |