Cargando…
Signatures of selection in natural populations adapted to chronic pollution
BACKGROUND: Populations of the teleost fish Fundulus heteroclitus appear to flourish in heavily polluted and geographically separated Superfund sites. Populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) have independently evolved adaptive resistan...
Autores principales: | , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570689/ https://www.ncbi.nlm.nih.gov/pubmed/18847479 http://dx.doi.org/10.1186/1471-2148-8-282 |
_version_ | 1782160168562196480 |
---|---|
author | Williams, Larissa M Oleksiak, Marjorie F |
author_facet | Williams, Larissa M Oleksiak, Marjorie F |
author_sort | Williams, Larissa M |
collection | PubMed |
description | BACKGROUND: Populations of the teleost fish Fundulus heteroclitus appear to flourish in heavily polluted and geographically separated Superfund sites. Populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) have independently evolved adaptive resistance to chemical pollutants. In these polluted populations, natural selection likely has altered allele frequencies of loci that affect fitness or that are linked to these loci. The aim of this study was to identify loci that exhibit non-neutral behavior in the F. heteroclitus genome in polluted populations versus clean reference populations. RESULTS: To detect signatures of natural selection and thus identify genetic bases for adaptation to anthropogenic stressors, we examined allele frequencies for many hundreds of amplified fragment length polymorphism markers among populations of F. heteroclitus. Specifically, we contrasted populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) to clean reference populations flanking the polluted sites. When empirical F(ST )values were compared to a simulated distribution of F(ST )values, 24 distinct outlier loci were identified among pairwise comparisons of pollutant impacted F. heteroclitus populations and both surrounding reference populations. Upon removal of all outlier loci, there was a strong correlation (R(2 )= 0.79, p < 0.0001) between genetic and geographical distance. This apparently neutral evolutionary pattern was not evident when outlier loci were included (R(2 )= 0.092, p = 0.0721). Two outlier loci were shared between New Bedford Harbor and Elizabeth River populations, and two different loci were shared between Newark Bay and Elizabeth River populations. CONCLUSION: In total, 1% to 6% of loci are implicated as being under selection or linked to areas of the genome under selection in three F. heteroclitus populations that reside in polluted estuaries. Shared loci among polluted sites indicate that selection may be acting on multiple loci involved in adaptation, and loci shared between polluted sites potentially are involved in a generalized adaptive response. |
format | Text |
id | pubmed-2570689 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-25706892008-10-22 Signatures of selection in natural populations adapted to chronic pollution Williams, Larissa M Oleksiak, Marjorie F BMC Evol Biol Research Article BACKGROUND: Populations of the teleost fish Fundulus heteroclitus appear to flourish in heavily polluted and geographically separated Superfund sites. Populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) have independently evolved adaptive resistance to chemical pollutants. In these polluted populations, natural selection likely has altered allele frequencies of loci that affect fitness or that are linked to these loci. The aim of this study was to identify loci that exhibit non-neutral behavior in the F. heteroclitus genome in polluted populations versus clean reference populations. RESULTS: To detect signatures of natural selection and thus identify genetic bases for adaptation to anthropogenic stressors, we examined allele frequencies for many hundreds of amplified fragment length polymorphism markers among populations of F. heteroclitus. Specifically, we contrasted populations from three Superfund sites (New Bedford Harbor, MA, Newark Bay, NJ, and Elizabeth River, VA) to clean reference populations flanking the polluted sites. When empirical F(ST )values were compared to a simulated distribution of F(ST )values, 24 distinct outlier loci were identified among pairwise comparisons of pollutant impacted F. heteroclitus populations and both surrounding reference populations. Upon removal of all outlier loci, there was a strong correlation (R(2 )= 0.79, p < 0.0001) between genetic and geographical distance. This apparently neutral evolutionary pattern was not evident when outlier loci were included (R(2 )= 0.092, p = 0.0721). Two outlier loci were shared between New Bedford Harbor and Elizabeth River populations, and two different loci were shared between Newark Bay and Elizabeth River populations. CONCLUSION: In total, 1% to 6% of loci are implicated as being under selection or linked to areas of the genome under selection in three F. heteroclitus populations that reside in polluted estuaries. Shared loci among polluted sites indicate that selection may be acting on multiple loci involved in adaptation, and loci shared between polluted sites potentially are involved in a generalized adaptive response. BioMed Central 2008-10-10 /pmc/articles/PMC2570689/ /pubmed/18847479 http://dx.doi.org/10.1186/1471-2148-8-282 Text en Copyright ©2008 Williams and Oleksiak; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Williams, Larissa M Oleksiak, Marjorie F Signatures of selection in natural populations adapted to chronic pollution |
title | Signatures of selection in natural populations adapted to chronic pollution |
title_full | Signatures of selection in natural populations adapted to chronic pollution |
title_fullStr | Signatures of selection in natural populations adapted to chronic pollution |
title_full_unstemmed | Signatures of selection in natural populations adapted to chronic pollution |
title_short | Signatures of selection in natural populations adapted to chronic pollution |
title_sort | signatures of selection in natural populations adapted to chronic pollution |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2570689/ https://www.ncbi.nlm.nih.gov/pubmed/18847479 http://dx.doi.org/10.1186/1471-2148-8-282 |
work_keys_str_mv | AT williamslarissam signaturesofselectioninnaturalpopulationsadaptedtochronicpollution AT oleksiakmarjorief signaturesofselectioninnaturalpopulationsadaptedtochronicpollution |