Cargando…
Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions
Understanding the forces that drive genotypic and phenotypic change in wild populations is a central goal of evolutionary biology. We examined exome variation in populations of deer mice from two of the California Channel Islands: Peromyscus maniculatus elusus from Santa Barbara Island and P. m. san...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668806/ https://www.ncbi.nlm.nih.gov/pubmed/34938502 http://dx.doi.org/10.1002/ece3.8357 |
_version_ | 1784614655461687296 |
---|---|
author | Orrock, John L. Abueg, Linelle Gammie, Stephen Munshi‐South, Jason |
author_facet | Orrock, John L. Abueg, Linelle Gammie, Stephen Munshi‐South, Jason |
author_sort | Orrock, John L. |
collection | PubMed |
description | Understanding the forces that drive genotypic and phenotypic change in wild populations is a central goal of evolutionary biology. We examined exome variation in populations of deer mice from two of the California Channel Islands: Peromyscus maniculatus elusus from Santa Barbara Island and P. m. santacruzae from Santa Cruz Island exhibit significant differences in olfactory predator recognition, activity timing, aggressive behavior, morphology, prevalence of Sin Nombre virus, and population densities. We characterized variation in protein‐coding regions using exome capture and sequencing of 25 mice from Santa Barbara Island and 22 mice from Santa Cruz Island. We identified and examined 386,256 SNPs using three complementary methods (BayeScan, pcadapt, and LFMM). We found strong differences in molecular variation between the two populations and 710 outlier SNPs in protein‐coding genes that were detected by all three methods. We identified 35 candidate genes from this outlier set that were related to differences in phenotypes between island populations. Enrichment analyses demonstrated that patterns of molecular variation were associated with biological processes related to response to chemical stimuli and regulation of immune processes. Candidate genes associated with olfaction (Gfy, Tlr2, Vmn13r2, numerous olfactory receptor genes), circadian activity (Cry1), anxiety (Brca1), immunity (Cd28, Eif2ak4, Il12a, Syne1), aggression (Cyp19a, Lama2), and body size (Bc16, Syne1) exhibited non‐synonymous mutations predicted to have moderate to large effects. Variation in olfaction‐related genes, including a stop codon in the Santa Barbara Island population, suggests loss of predator‐recognition traits at the molecular level, consistent with a lack of behavioral aversion to fox feces. These findings also suggest that divergent pathogen prevalence and population density may have influenced adaptive immunity and behavioral phenotypes, such as reduced aggression. Overall, our study indicates that ecological differences between islands are associated with signatures of selection in protein‐coding genes underlying phenotypes that promote success in those environments. |
format | Online Article Text |
id | pubmed-8668806 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-86688062021-12-21 Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions Orrock, John L. Abueg, Linelle Gammie, Stephen Munshi‐South, Jason Ecol Evol Research Articles Understanding the forces that drive genotypic and phenotypic change in wild populations is a central goal of evolutionary biology. We examined exome variation in populations of deer mice from two of the California Channel Islands: Peromyscus maniculatus elusus from Santa Barbara Island and P. m. santacruzae from Santa Cruz Island exhibit significant differences in olfactory predator recognition, activity timing, aggressive behavior, morphology, prevalence of Sin Nombre virus, and population densities. We characterized variation in protein‐coding regions using exome capture and sequencing of 25 mice from Santa Barbara Island and 22 mice from Santa Cruz Island. We identified and examined 386,256 SNPs using three complementary methods (BayeScan, pcadapt, and LFMM). We found strong differences in molecular variation between the two populations and 710 outlier SNPs in protein‐coding genes that were detected by all three methods. We identified 35 candidate genes from this outlier set that were related to differences in phenotypes between island populations. Enrichment analyses demonstrated that patterns of molecular variation were associated with biological processes related to response to chemical stimuli and regulation of immune processes. Candidate genes associated with olfaction (Gfy, Tlr2, Vmn13r2, numerous olfactory receptor genes), circadian activity (Cry1), anxiety (Brca1), immunity (Cd28, Eif2ak4, Il12a, Syne1), aggression (Cyp19a, Lama2), and body size (Bc16, Syne1) exhibited non‐synonymous mutations predicted to have moderate to large effects. Variation in olfaction‐related genes, including a stop codon in the Santa Barbara Island population, suggests loss of predator‐recognition traits at the molecular level, consistent with a lack of behavioral aversion to fox feces. These findings also suggest that divergent pathogen prevalence and population density may have influenced adaptive immunity and behavioral phenotypes, such as reduced aggression. Overall, our study indicates that ecological differences between islands are associated with signatures of selection in protein‐coding genes underlying phenotypes that promote success in those environments. John Wiley and Sons Inc. 2021-11-17 /pmc/articles/PMC8668806/ /pubmed/34938502 http://dx.doi.org/10.1002/ece3.8357 Text en © 2021 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Orrock, John L. Abueg, Linelle Gammie, Stephen Munshi‐South, Jason Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title | Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title_full | Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title_fullStr | Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title_full_unstemmed | Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title_short | Exome sequencing of deer mice on two California Channel Islands identifies potential adaptation to strongly contrasting ecological conditions |
title_sort | exome sequencing of deer mice on two california channel islands identifies potential adaptation to strongly contrasting ecological conditions |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8668806/ https://www.ncbi.nlm.nih.gov/pubmed/34938502 http://dx.doi.org/10.1002/ece3.8357 |
work_keys_str_mv | AT orrockjohnl exomesequencingofdeermiceontwocaliforniachannelislandsidentifiespotentialadaptationtostronglycontrastingecologicalconditions AT abueglinelle exomesequencingofdeermiceontwocaliforniachannelislandsidentifiespotentialadaptationtostronglycontrastingecologicalconditions AT gammiestephen exomesequencingofdeermiceontwocaliforniachannelislandsidentifiespotentialadaptationtostronglycontrastingecologicalconditions AT munshisouthjason exomesequencingofdeermiceontwocaliforniachannelislandsidentifiespotentialadaptationtostronglycontrastingecologicalconditions |