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Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities

The composition of phytoplankton community is the basis for environmental monitoring and assessment of the ecological status of aquatic ecosystems. Community composition studies of phytoplankton have been based on time-consuming and expertise-demanding light microscopy analyses. Molecular methods ha...

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Autores principales: Vuorio, Kristiina, Mäki, Anita, Salmi, Pauliina, Aalto, Sanni L., Tiirola, Marja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016081/
https://www.ncbi.nlm.nih.gov/pubmed/32117126
http://dx.doi.org/10.3389/fmicb.2020.00096
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author Vuorio, Kristiina
Mäki, Anita
Salmi, Pauliina
Aalto, Sanni L.
Tiirola, Marja
author_facet Vuorio, Kristiina
Mäki, Anita
Salmi, Pauliina
Aalto, Sanni L.
Tiirola, Marja
author_sort Vuorio, Kristiina
collection PubMed
description The composition of phytoplankton community is the basis for environmental monitoring and assessment of the ecological status of aquatic ecosystems. Community composition studies of phytoplankton have been based on time-consuming and expertise-demanding light microscopy analyses. Molecular methods have the potential to replace microscopy, but the high copy number variation of ribosomal genes and the lack of universal primers for simultaneous amplification of prokaryotic and eukaryotic genes complicate data interpretation. In this study, we used our previously developed directional primer-independent high-throughput sequencing (HTS) approach to analyze 16S and 18S rRNA community structures. Comparison of 83 boreal lake samples showed that the relative abundances of eukaryotic phytoplankton at class level and prokaryotic cyanobacteria at order level were consistent between HTS and microscopy results. At the genus level, the results had low correspondence, mainly due to lack of sequences in the reference library. HTS was superior to identify genera that are extensively represented in the reference databases but lack specific morphological characteristics. Targeted metatranscriptomics proved to be a feasible method to complement the microscopy analysis. The metatranscriptomics can also be applied without linking the sequences to taxonomy. However, direct indexing of the sequences to their environmental indicator values needs collections of more comprehensive sample sets, as long as the coverage of molecular barcodes of eukaryotic species remains insufficient.
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spelling pubmed-70160812020-02-28 Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities Vuorio, Kristiina Mäki, Anita Salmi, Pauliina Aalto, Sanni L. Tiirola, Marja Front Microbiol Microbiology The composition of phytoplankton community is the basis for environmental monitoring and assessment of the ecological status of aquatic ecosystems. Community composition studies of phytoplankton have been based on time-consuming and expertise-demanding light microscopy analyses. Molecular methods have the potential to replace microscopy, but the high copy number variation of ribosomal genes and the lack of universal primers for simultaneous amplification of prokaryotic and eukaryotic genes complicate data interpretation. In this study, we used our previously developed directional primer-independent high-throughput sequencing (HTS) approach to analyze 16S and 18S rRNA community structures. Comparison of 83 boreal lake samples showed that the relative abundances of eukaryotic phytoplankton at class level and prokaryotic cyanobacteria at order level were consistent between HTS and microscopy results. At the genus level, the results had low correspondence, mainly due to lack of sequences in the reference library. HTS was superior to identify genera that are extensively represented in the reference databases but lack specific morphological characteristics. Targeted metatranscriptomics proved to be a feasible method to complement the microscopy analysis. The metatranscriptomics can also be applied without linking the sequences to taxonomy. However, direct indexing of the sequences to their environmental indicator values needs collections of more comprehensive sample sets, as long as the coverage of molecular barcodes of eukaryotic species remains insufficient. Frontiers Media S.A. 2020-02-06 /pmc/articles/PMC7016081/ /pubmed/32117126 http://dx.doi.org/10.3389/fmicb.2020.00096 Text en Copyright © 2020 Vuorio, Mäki, Salmi, Aalto and Tiirola. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Vuorio, Kristiina
Mäki, Anita
Salmi, Pauliina
Aalto, Sanni L.
Tiirola, Marja
Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title_full Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title_fullStr Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title_full_unstemmed Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title_short Consistency of Targeted Metatranscriptomics and Morphological Characterization of Phytoplankton Communities
title_sort consistency of targeted metatranscriptomics and morphological characterization of phytoplankton communities
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7016081/
https://www.ncbi.nlm.nih.gov/pubmed/32117126
http://dx.doi.org/10.3389/fmicb.2020.00096
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