Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.

In ecology and evolution, the primary challenge in understanding the processes that shape biodiversity is to assess the relationship between the phenotypic traits of organisms and the environment. Here we tested for selection on physio-morphological traits measured by scanning flow-cytometry at the...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Francesco Pomati, Nathan J B Kraft, Thomas Posch, Bettina Eugster, Jukka Jokela, Bas W Ibelings
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2013
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/86f9fd7c844b4a57b59f239e518b23b7
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:86f9fd7c844b4a57b59f239e518b23b7
record_format	dspace
spelling	oai:doaj.org-article:86f9fd7c844b4a57b59f239e518b23b72021-11-18T09:00:07ZIndividual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.1932-620310.1371/journal.pone.0071677https://doaj.org/article/86f9fd7c844b4a57b59f239e518b23b72013-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/23951218/pdf/?tool=EBIhttps://doaj.org/toc/1932-6203In ecology and evolution, the primary challenge in understanding the processes that shape biodiversity is to assess the relationship between the phenotypic traits of organisms and the environment. Here we tested for selection on physio-morphological traits measured by scanning flow-cytometry at the individual level in phytoplankton communities under a temporally changing biotic and abiotic environment. Our aim was to study how high-frequency temporal changes in the environment influence biodiversity dynamics in a natural community. We focused on a spring bloom in Lake Zurich (Switzerland), characterized by rapid changes in phytoplankton, water conditions, nutrients and grazing (mainly mediated by herbivore ciliates). We described bloom dynamics in terms of taxonomic and trait-based diversity and found that diversity dynamics of trait-based groups were more pronounced than those of identified phytoplankton taxa. We characterized the linkage between measured phytoplankton traits, abiotic environmental factors and abundance of the main grazers and observed weak but significant correlations between changing abiotic and biotic conditions and measured size-related and fluorescence-related traits. We tested for deviations in observed community-wide distributions of focal traits from random patterns and found evidence for both clustering and even spacing of traits, occurring sporadically over the time series. Patterns were consistent with environmental filtering and phenotypic divergence under herbivore pressure, respectively. Size-related traits showed significant even spacing during the peak of herbivore abundance, suggesting that morphology-related traits were under selection from grazing. Pigment distribution within cells and colonies appeared instead to be associated with acclimation to temperature and water chemistry. We found support for trade-offs among grazing resistance and environmental tolerance traits, as well as for substantial periods of dynamics in which our measured traits were not under selection.Francesco PomatiNathan J B KraftThomas PoschBettina EugsterJukka JokelaBas W IbelingsPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 8, Iss 8, p e71677 (2013)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Francesco Pomati Nathan J B Kraft Thomas Posch Bettina Eugster Jukka Jokela Bas W Ibelings Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
description	In ecology and evolution, the primary challenge in understanding the processes that shape biodiversity is to assess the relationship between the phenotypic traits of organisms and the environment. Here we tested for selection on physio-morphological traits measured by scanning flow-cytometry at the individual level in phytoplankton communities under a temporally changing biotic and abiotic environment. Our aim was to study how high-frequency temporal changes in the environment influence biodiversity dynamics in a natural community. We focused on a spring bloom in Lake Zurich (Switzerland), characterized by rapid changes in phytoplankton, water conditions, nutrients and grazing (mainly mediated by herbivore ciliates). We described bloom dynamics in terms of taxonomic and trait-based diversity and found that diversity dynamics of trait-based groups were more pronounced than those of identified phytoplankton taxa. We characterized the linkage between measured phytoplankton traits, abiotic environmental factors and abundance of the main grazers and observed weak but significant correlations between changing abiotic and biotic conditions and measured size-related and fluorescence-related traits. We tested for deviations in observed community-wide distributions of focal traits from random patterns and found evidence for both clustering and even spacing of traits, occurring sporadically over the time series. Patterns were consistent with environmental filtering and phenotypic divergence under herbivore pressure, respectively. Size-related traits showed significant even spacing during the peak of herbivore abundance, suggesting that morphology-related traits were under selection from grazing. Pigment distribution within cells and colonies appeared instead to be associated with acclimation to temperature and water chemistry. We found support for trade-offs among grazing resistance and environmental tolerance traits, as well as for substantial periods of dynamics in which our measured traits were not under selection.
format	article
author	Francesco Pomati Nathan J B Kraft Thomas Posch Bettina Eugster Jukka Jokela Bas W Ibelings
author_facet	Francesco Pomati Nathan J B Kraft Thomas Posch Bettina Eugster Jukka Jokela Bas W Ibelings
author_sort	Francesco Pomati
title	Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
title_short	Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
title_full	Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
title_fullStr	Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
title_full_unstemmed	Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
title_sort	individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.
publisher	Public Library of Science (PLoS)
publishDate	2013
url	https://doaj.org/article/86f9fd7c844b4a57b59f239e518b23b7
work_keys_str_mv	AT francescopomati individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom AT nathanjbkraft individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom AT thomasposch individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom AT bettinaeugster individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom AT jukkajokela individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom AT baswibelings individualcellbasedtraitsobtainedbyscanningflowcytometryshowselectionbybioticandabioticenvironmentalfactorsduringaphytoplanktonspringbloom
_version_	1718421033075081216

Individual cell based traits obtained by scanning flow-cytometry show selection by biotic and abiotic environmental factors during a phytoplankton spring bloom.

Ejemplares similares