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Temporal Changes in Population Structure of a Marine Planktonic Diatom

A prevailing question in phytoplankton research addresses changes of genetic diversity in the face of huge population sizes and apparently unlimited dispersal capabilities. We investigated population genetic structure of the pennate planktonic marine diatom Pseudo-nitzschia multistriata at the LTER...

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Autores principales: Tesson, Sylvie V. M., Montresor, Marina, Procaccini, Gabriele, Kooistra, Wiebe H. C. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266644/
https://www.ncbi.nlm.nih.gov/pubmed/25506926
http://dx.doi.org/10.1371/journal.pone.0114984
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author Tesson, Sylvie V. M.
Montresor, Marina
Procaccini, Gabriele
Kooistra, Wiebe H. C. F.
author_facet Tesson, Sylvie V. M.
Montresor, Marina
Procaccini, Gabriele
Kooistra, Wiebe H. C. F.
author_sort Tesson, Sylvie V. M.
collection PubMed
description A prevailing question in phytoplankton research addresses changes of genetic diversity in the face of huge population sizes and apparently unlimited dispersal capabilities. We investigated population genetic structure of the pennate planktonic marine diatom Pseudo-nitzschia multistriata at the LTER station MareChiara in the Gulf of Naples (Italy) over four consecutive years and explored possible changes over seasons and from year to year. A total of 525 strains were genotyped using seven microsatellite markers, for a genotypic diversity of 75.05%, comparable to that found in other Pseudo-nitzschia species. Evidence from Bayesian clustering analysis (BA) identified two genetically distinct clusters, here interpreted as populations, and several strains that could not be assigned with ≥90% probability to either population, here interpreted as putative hybrids. Principal Component Analysis (PCA) recovered these two clusters in distinct clouds with most of the putative hybrids located in-between. Relative proportions of the two populations and the putative hybrids remained similar within years, but changed radically between 2008 and 2009 and between 2010 and 2011, when the 2008-population apparently became the dominant one again. Strains from the two populations are inter-fertile, and so is their offspring. Inclusion of genotypes of parental strains and their offspring shows that the majority of the latter could not be assigned to any of the two parental populations. Therefore, field strains classified by BA as the putative hybrids could be biological hybrids. We hypothesize that P. multistriata population dynamics in the Gulf of Naples follows a meta-population-like model, including establishment of populations by cell inocula at the beginning of each growth season and remixing and dispersal governed by moving and mildly turbulent water masses.
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spelling pubmed-42666442014-12-26 Temporal Changes in Population Structure of a Marine Planktonic Diatom Tesson, Sylvie V. M. Montresor, Marina Procaccini, Gabriele Kooistra, Wiebe H. C. F. PLoS One Research Article A prevailing question in phytoplankton research addresses changes of genetic diversity in the face of huge population sizes and apparently unlimited dispersal capabilities. We investigated population genetic structure of the pennate planktonic marine diatom Pseudo-nitzschia multistriata at the LTER station MareChiara in the Gulf of Naples (Italy) over four consecutive years and explored possible changes over seasons and from year to year. A total of 525 strains were genotyped using seven microsatellite markers, for a genotypic diversity of 75.05%, comparable to that found in other Pseudo-nitzschia species. Evidence from Bayesian clustering analysis (BA) identified two genetically distinct clusters, here interpreted as populations, and several strains that could not be assigned with ≥90% probability to either population, here interpreted as putative hybrids. Principal Component Analysis (PCA) recovered these two clusters in distinct clouds with most of the putative hybrids located in-between. Relative proportions of the two populations and the putative hybrids remained similar within years, but changed radically between 2008 and 2009 and between 2010 and 2011, when the 2008-population apparently became the dominant one again. Strains from the two populations are inter-fertile, and so is their offspring. Inclusion of genotypes of parental strains and their offspring shows that the majority of the latter could not be assigned to any of the two parental populations. Therefore, field strains classified by BA as the putative hybrids could be biological hybrids. We hypothesize that P. multistriata population dynamics in the Gulf of Naples follows a meta-population-like model, including establishment of populations by cell inocula at the beginning of each growth season and remixing and dispersal governed by moving and mildly turbulent water masses. Public Library of Science 2014-12-15 /pmc/articles/PMC4266644/ /pubmed/25506926 http://dx.doi.org/10.1371/journal.pone.0114984 Text en © 2014 Tesson 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
Tesson, Sylvie V. M.
Montresor, Marina
Procaccini, Gabriele
Kooistra, Wiebe H. C. F.
Temporal Changes in Population Structure of a Marine Planktonic Diatom
title Temporal Changes in Population Structure of a Marine Planktonic Diatom
title_full Temporal Changes in Population Structure of a Marine Planktonic Diatom
title_fullStr Temporal Changes in Population Structure of a Marine Planktonic Diatom
title_full_unstemmed Temporal Changes in Population Structure of a Marine Planktonic Diatom
title_short Temporal Changes in Population Structure of a Marine Planktonic Diatom
title_sort temporal changes in population structure of a marine planktonic diatom
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266644/
https://www.ncbi.nlm.nih.gov/pubmed/25506926
http://dx.doi.org/10.1371/journal.pone.0114984
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