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Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species

Numerous studies have applied genetic tools to the identification of source populations and transport pathways for invasive species. However, there are many gaps in the knowledge obtained from such studies because comprehensive and meaningful spatial sampling to meet these goals is difficult to achi...

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Autores principales: Goldstien, Sharyn J., Inglis, Graeme J., Schiel, David R., Gemmell, Neil J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3670837/
https://www.ncbi.nlm.nih.gov/pubmed/23755264
http://dx.doi.org/10.1371/journal.pone.0065656
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author Goldstien, Sharyn J.
Inglis, Graeme J.
Schiel, David R.
Gemmell, Neil J.
author_facet Goldstien, Sharyn J.
Inglis, Graeme J.
Schiel, David R.
Gemmell, Neil J.
author_sort Goldstien, Sharyn J.
collection PubMed
description Numerous studies have applied genetic tools to the identification of source populations and transport pathways for invasive species. However, there are many gaps in the knowledge obtained from such studies because comprehensive and meaningful spatial sampling to meet these goals is difficult to achieve. Sampling populations as they arrive at the border should fill the gaps in source population identification, but such an advance has not yet been achieved with genetic data. Here we use previously acquired genetic data to assign new incursions as they invade populations within New Zealand ports and marinas. We also investigated allelelic frequency change in these recently established populations over a two-year period, and assessed the effect of temporal genetic sampling on our ability to assign new incursions to their population of source. We observed shifts in the allele frequencies among populations, as well as the complete loss of some alleles and the addition of alleles novel to New Zealand, within these recently established populations. There was no significant level of genetic differentiation observed in our samples between years, and the use of these temporal data did alter the assignment probability of new incursions. Our study further suggests that new incursions can add genetic variation to the population in a single introduction event as the founders themselves are often more genetically diverse than theory initially predicted.
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spelling pubmed-36708372013-06-10 Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species Goldstien, Sharyn J. Inglis, Graeme J. Schiel, David R. Gemmell, Neil J. PLoS One Research Article Numerous studies have applied genetic tools to the identification of source populations and transport pathways for invasive species. However, there are many gaps in the knowledge obtained from such studies because comprehensive and meaningful spatial sampling to meet these goals is difficult to achieve. Sampling populations as they arrive at the border should fill the gaps in source population identification, but such an advance has not yet been achieved with genetic data. Here we use previously acquired genetic data to assign new incursions as they invade populations within New Zealand ports and marinas. We also investigated allelelic frequency change in these recently established populations over a two-year period, and assessed the effect of temporal genetic sampling on our ability to assign new incursions to their population of source. We observed shifts in the allele frequencies among populations, as well as the complete loss of some alleles and the addition of alleles novel to New Zealand, within these recently established populations. There was no significant level of genetic differentiation observed in our samples between years, and the use of these temporal data did alter the assignment probability of new incursions. Our study further suggests that new incursions can add genetic variation to the population in a single introduction event as the founders themselves are often more genetically diverse than theory initially predicted. Public Library of Science 2013-06-03 /pmc/articles/PMC3670837/ /pubmed/23755264 http://dx.doi.org/10.1371/journal.pone.0065656 Text en © 2013 Goldstien 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
Goldstien, Sharyn J.
Inglis, Graeme J.
Schiel, David R.
Gemmell, Neil J.
Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title_full Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title_fullStr Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title_full_unstemmed Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title_short Using Temporal Sampling to Improve Attribution of Source Populations for Invasive Species
title_sort using temporal sampling to improve attribution of source populations for invasive species
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3670837/
https://www.ncbi.nlm.nih.gov/pubmed/23755264
http://dx.doi.org/10.1371/journal.pone.0065656
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