Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring

Picocyanobacteria (Pcy) are important yet understudied components of lake foodwebs. While phylogenetic studies of isolated strains reveal a high diversity of freshwater genotypes, little is known about abiotic drivers associated with Pcy in different lakes. Due to methodological limitations, most pr...

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Autores principales:	Lena A. Schallenberg, John K. Pearman, Carolyn W. Burns, Susanna A. Wood
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	picocyanobacteria Cyanobium Synechococcus 16S rRNA community structure metabarcoding Microbiology QR1-502
Acceso en línea:	https://doaj.org/article/a93f0446fcbc4536bb52e9114b839294
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id	oai:doaj.org-article:a93f0446fcbc4536bb52e9114b839294
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spelling	oai:doaj.org-article:a93f0446fcbc4536bb52e9114b8392942021-11-12T05:57:23ZMetabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring1664-302X10.3389/fmicb.2021.757929https://doaj.org/article/a93f0446fcbc4536bb52e9114b8392942021-11-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fmicb.2021.757929/fullhttps://doaj.org/toc/1664-302XPicocyanobacteria (Pcy) are important yet understudied components of lake foodwebs. While phylogenetic studies of isolated strains reveal a high diversity of freshwater genotypes, little is known about abiotic drivers associated with Pcy in different lakes. Due to methodological limitations, most previous studies assess potential drivers using total cell abundances as a response, with often conflicting and inconsistent results. In the present study, we explored how picocyanobacterial communities respond to environmental change using a combination of epifluorescence microscopy and community data determined using 16S rRNA gene metabarcoding. Temporal shifts in picocyanobacterial abundance, diversity and community dynamics were assessed in relation to potential environmental drivers in five contrasting lakes over 1year. Cell abundances alone were not consistently related to environmental variables across lakes. However, the addition of metabarcoding data revealed diverse picocyanobacterial communities that differed significantly between lakes, driven by environmental variables related to trophic state. Within each lake, communities were temporally dynamic and certain amplicon sequence variants (ASVs) were strongly associated with specific environmental drivers. Rapid shifts in community structure and composition were often related to environmental changes, indicating that lacustrine Pcy can persist at high abundances through collective community adaptation. These results demonstrate that a combination of microscopy and metabarcoding enables an in-depth characterisation of picocyanobacterial communities and reveals strain-specific drivers. We recommend that future studies cease referring to picocyanobacterial as one functional group and take strain specific variability into consideration.Lena A. SchallenbergJohn K. PearmanCarolyn W. BurnsSusanna A. WoodFrontiers Media S.A.articlepicocyanobacteriaCyanobiumSynechococcus16S rRNAcommunity structuremetabarcodingMicrobiologyQR1-502ENFrontiers in Microbiology, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	picocyanobacteria Cyanobium Synechococcus 16S rRNA community structure metabarcoding Microbiology QR1-502
spellingShingle	picocyanobacteria Cyanobium Synechococcus 16S rRNA community structure metabarcoding Microbiology QR1-502 Lena A. Schallenberg John K. Pearman Carolyn W. Burns Susanna A. Wood Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
description	Picocyanobacteria (Pcy) are important yet understudied components of lake foodwebs. While phylogenetic studies of isolated strains reveal a high diversity of freshwater genotypes, little is known about abiotic drivers associated with Pcy in different lakes. Due to methodological limitations, most previous studies assess potential drivers using total cell abundances as a response, with often conflicting and inconsistent results. In the present study, we explored how picocyanobacterial communities respond to environmental change using a combination of epifluorescence microscopy and community data determined using 16S rRNA gene metabarcoding. Temporal shifts in picocyanobacterial abundance, diversity and community dynamics were assessed in relation to potential environmental drivers in five contrasting lakes over 1year. Cell abundances alone were not consistently related to environmental variables across lakes. However, the addition of metabarcoding data revealed diverse picocyanobacterial communities that differed significantly between lakes, driven by environmental variables related to trophic state. Within each lake, communities were temporally dynamic and certain amplicon sequence variants (ASVs) were strongly associated with specific environmental drivers. Rapid shifts in community structure and composition were often related to environmental changes, indicating that lacustrine Pcy can persist at high abundances through collective community adaptation. These results demonstrate that a combination of microscopy and metabarcoding enables an in-depth characterisation of picocyanobacterial communities and reveals strain-specific drivers. We recommend that future studies cease referring to picocyanobacterial as one functional group and take strain specific variability into consideration.
format	article
author	Lena A. Schallenberg John K. Pearman Carolyn W. Burns Susanna A. Wood
author_facet	Lena A. Schallenberg John K. Pearman Carolyn W. Burns Susanna A. Wood
author_sort	Lena A. Schallenberg
title	Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
title_short	Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
title_full	Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
title_fullStr	Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
title_full_unstemmed	Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring
title_sort	metabarcoding reveals lacustrine picocyanobacteria respond to environmental change through adaptive community structuring
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/a93f0446fcbc4536bb52e9114b839294
work_keys_str_mv	AT lenaaschallenberg metabarcodingrevealslacustrinepicocyanobacteriarespondtoenvironmentalchangethroughadaptivecommunitystructuring AT johnkpearman metabarcodingrevealslacustrinepicocyanobacteriarespondtoenvironmentalchangethroughadaptivecommunitystructuring AT carolynwburns metabarcodingrevealslacustrinepicocyanobacteriarespondtoenvironmentalchangethroughadaptivecommunitystructuring AT susannaawood metabarcodingrevealslacustrinepicocyanobacteriarespondtoenvironmentalchangethroughadaptivecommunitystructuring
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Metabarcoding Reveals Lacustrine Picocyanobacteria Respond to Environmental Change Through Adaptive Community Structuring

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