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Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations

We provide a novel method to improve the use of natural tagging approaches for subpopulation discrimination and source-origin identification in aquatic and terrestrial animals with a passive dispersive phase. Our method integrates observed site-referenced biological information on individuals in mix...

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Autores principales: Fraker, Michael E., Anderson, Eric J., Brodnik, Reed M., Carreon-Martinez, Lucia, DeVanna, Kristen M., Fryer, Brian J., Heath, Daniel D., Reichert, Julie M., Ludsin, Stuart A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370746/
https://www.ncbi.nlm.nih.gov/pubmed/25799555
http://dx.doi.org/10.1371/journal.pone.0120752
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author Fraker, Michael E.
Anderson, Eric J.
Brodnik, Reed M.
Carreon-Martinez, Lucia
DeVanna, Kristen M.
Fryer, Brian J.
Heath, Daniel D.
Reichert, Julie M.
Ludsin, Stuart A.
author_facet Fraker, Michael E.
Anderson, Eric J.
Brodnik, Reed M.
Carreon-Martinez, Lucia
DeVanna, Kristen M.
Fryer, Brian J.
Heath, Daniel D.
Reichert, Julie M.
Ludsin, Stuart A.
author_sort Fraker, Michael E.
collection PubMed
description We provide a novel method to improve the use of natural tagging approaches for subpopulation discrimination and source-origin identification in aquatic and terrestrial animals with a passive dispersive phase. Our method integrates observed site-referenced biological information on individuals in mixed populations with a particle-tracking model to retrace likely dispersal histories prior to capture (i.e., particle backtracking). To illustrate and test our approach, we focus on western Lake Erie’s yellow perch (Perca flavescens) population during 2006–2007, using microsatellite DNA and otolith microchemistry from larvae and juveniles as natural tags. Particle backtracking showed that not all larvae collected near a presumed hatching location may have originated there, owing to passive drift during the larval stage that was influenced by strong river- and wind-driven water circulation. Re-assigning larvae to their most probable hatching site (based on probabilistic dispersal trajectories from the particle backtracking model) improved the use of genetics and otolith microchemistry to discriminate among local breeding subpopulations. This enhancement, in turn, altered (and likely improved) the estimated contributions of each breeding subpopulation to the mixed population of juvenile recruits. Our findings indicate that particle backtracking can complement existing tools used to identify the origin of individuals in mixed populations, especially in flow-dominated systems.
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spelling pubmed-43707462015-04-04 Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations Fraker, Michael E. Anderson, Eric J. Brodnik, Reed M. Carreon-Martinez, Lucia DeVanna, Kristen M. Fryer, Brian J. Heath, Daniel D. Reichert, Julie M. Ludsin, Stuart A. PLoS One Research Article We provide a novel method to improve the use of natural tagging approaches for subpopulation discrimination and source-origin identification in aquatic and terrestrial animals with a passive dispersive phase. Our method integrates observed site-referenced biological information on individuals in mixed populations with a particle-tracking model to retrace likely dispersal histories prior to capture (i.e., particle backtracking). To illustrate and test our approach, we focus on western Lake Erie’s yellow perch (Perca flavescens) population during 2006–2007, using microsatellite DNA and otolith microchemistry from larvae and juveniles as natural tags. Particle backtracking showed that not all larvae collected near a presumed hatching location may have originated there, owing to passive drift during the larval stage that was influenced by strong river- and wind-driven water circulation. Re-assigning larvae to their most probable hatching site (based on probabilistic dispersal trajectories from the particle backtracking model) improved the use of genetics and otolith microchemistry to discriminate among local breeding subpopulations. This enhancement, in turn, altered (and likely improved) the estimated contributions of each breeding subpopulation to the mixed population of juvenile recruits. Our findings indicate that particle backtracking can complement existing tools used to identify the origin of individuals in mixed populations, especially in flow-dominated systems. Public Library of Science 2015-03-23 /pmc/articles/PMC4370746/ /pubmed/25799555 http://dx.doi.org/10.1371/journal.pone.0120752 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open-access article distributed under the terms of the Creative Commons Public Domain declaration, which stipulates that, once placed in the public domain, this work may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose.
spellingShingle Research Article
Fraker, Michael E.
Anderson, Eric J.
Brodnik, Reed M.
Carreon-Martinez, Lucia
DeVanna, Kristen M.
Fryer, Brian J.
Heath, Daniel D.
Reichert, Julie M.
Ludsin, Stuart A.
Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title_full Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title_fullStr Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title_full_unstemmed Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title_short Particle Backtracking Improves Breeding Subpopulation Discrimination and Natal-Source Identification in Mixed Populations
title_sort particle backtracking improves breeding subpopulation discrimination and natal-source identification in mixed populations
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4370746/
https://www.ncbi.nlm.nih.gov/pubmed/25799555
http://dx.doi.org/10.1371/journal.pone.0120752
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