Cargando…

Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe

Spatial genetics is a relatively new field in wildlife and conservation biology that is becoming an essential tool for unravelling the complexities of animal population processes, and for designing effective strategies for conservation and management. Conceptual and methodological developments in th...

Descripción completa

Detalles Bibliográficos
Autores principales: Hindrikson, Maris, Remm, Jaanus, Männil, Peep, Ozolins, Janis, Tammeleht, Egle, Saarma, Urmas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777892/
https://www.ncbi.nlm.nih.gov/pubmed/24069446
http://dx.doi.org/10.1371/journal.pone.0075765
_version_ 1782285026869641216
author Hindrikson, Maris
Remm, Jaanus
Männil, Peep
Ozolins, Janis
Tammeleht, Egle
Saarma, Urmas
author_facet Hindrikson, Maris
Remm, Jaanus
Männil, Peep
Ozolins, Janis
Tammeleht, Egle
Saarma, Urmas
author_sort Hindrikson, Maris
collection PubMed
description Spatial genetics is a relatively new field in wildlife and conservation biology that is becoming an essential tool for unravelling the complexities of animal population processes, and for designing effective strategies for conservation and management. Conceptual and methodological developments in this field are therefore critical. Here we present two novel methodological approaches that further the analytical possibilities of STRUCTURE and DResD. Using these approaches we analyse structure and migrations in a grey wolf ( Canis lupus ) population in north-eastern Europe. We genotyped 16 microsatellite loci in 166 individuals sampled from the wolf population in Estonia and Latvia that has been under strong and continuous hunting pressure for decades. Our analysis demonstrated that this relatively small wolf population is represented by four genetic groups. We also used a novel methodological approach that uses linear interpolation to statistically test the spatial separation of genetic groups. The new method, which is capable of using program STRUCTURE output, can be applied widely in population genetics to reveal both core areas and areas of low significance for genetic groups. We also used a recently developed spatially explicit individual-based method DResD, and applied it for the first time to microsatellite data, revealing a migration corridor and barriers, and several contact zones.
format Online
Article
Text
id pubmed-3777892
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-37778922013-09-25 Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe Hindrikson, Maris Remm, Jaanus Männil, Peep Ozolins, Janis Tammeleht, Egle Saarma, Urmas PLoS One Research Article Spatial genetics is a relatively new field in wildlife and conservation biology that is becoming an essential tool for unravelling the complexities of animal population processes, and for designing effective strategies for conservation and management. Conceptual and methodological developments in this field are therefore critical. Here we present two novel methodological approaches that further the analytical possibilities of STRUCTURE and DResD. Using these approaches we analyse structure and migrations in a grey wolf ( Canis lupus ) population in north-eastern Europe. We genotyped 16 microsatellite loci in 166 individuals sampled from the wolf population in Estonia and Latvia that has been under strong and continuous hunting pressure for decades. Our analysis demonstrated that this relatively small wolf population is represented by four genetic groups. We also used a novel methodological approach that uses linear interpolation to statistically test the spatial separation of genetic groups. The new method, which is capable of using program STRUCTURE output, can be applied widely in population genetics to reveal both core areas and areas of low significance for genetic groups. We also used a recently developed spatially explicit individual-based method DResD, and applied it for the first time to microsatellite data, revealing a migration corridor and barriers, and several contact zones. Public Library of Science 2013-09-19 /pmc/articles/PMC3777892/ /pubmed/24069446 http://dx.doi.org/10.1371/journal.pone.0075765 Text en © 2013 Hindrikson et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Hindrikson, Maris
Remm, Jaanus
Männil, Peep
Ozolins, Janis
Tammeleht, Egle
Saarma, Urmas
Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title_full Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title_fullStr Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title_full_unstemmed Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title_short Spatial Genetic Analyses Reveal Cryptic Population Structure and Migration Patterns in a Continuously Harvested Grey Wolf (Canis lupus) Population in North-Eastern Europe
title_sort spatial genetic analyses reveal cryptic population structure and migration patterns in a continuously harvested grey wolf (canis lupus) population in north-eastern europe
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3777892/
https://www.ncbi.nlm.nih.gov/pubmed/24069446
http://dx.doi.org/10.1371/journal.pone.0075765
work_keys_str_mv AT hindriksonmaris spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope
AT remmjaanus spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope
AT mannilpeep spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope
AT ozolinsjanis spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope
AT tammelehtegle spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope
AT saarmaurmas spatialgeneticanalysesrevealcrypticpopulationstructureandmigrationpatternsinacontinuouslyharvestedgreywolfcanislupuspopulationinnortheasterneurope