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Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method

Intertidal mudflats are land–sea interaction areas and play important roles in global nutrient cycles. However, a comprehensive understanding of microbial communities in these mudflats remains elusive. In this study, mudflat sediment samples from the Dongtan wetland of Chongming Island, the largest...

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Autores principales: Yan, Yong-Wei, Jiang, Qiu-Yue, Wang, Jian-Gong, Zhu, Ting, Zou, Bin, Qiu, Qiong-Fen, Quan, Zhe-Xue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797801/
https://www.ncbi.nlm.nih.gov/pubmed/29445367
http://dx.doi.org/10.3389/fmicb.2018.00093
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author Yan, Yong-Wei
Jiang, Qiu-Yue
Wang, Jian-Gong
Zhu, Ting
Zou, Bin
Qiu, Qiong-Fen
Quan, Zhe-Xue
author_facet Yan, Yong-Wei
Jiang, Qiu-Yue
Wang, Jian-Gong
Zhu, Ting
Zou, Bin
Qiu, Qiong-Fen
Quan, Zhe-Xue
author_sort Yan, Yong-Wei
collection PubMed
description Intertidal mudflats are land–sea interaction areas and play important roles in global nutrient cycles. However, a comprehensive understanding of microbial communities in these mudflats remains elusive. In this study, mudflat sediment samples from the Dongtan wetland of Chongming Island, the largest alluvial island in the world, were collected. Using a modified metatranscriptomic method, the depth-wise distributions of potentially active microbial communities were investigated based on small subunit ribosomal RNA (SSU rRNA) sequences. Multiple environmental factors were also measured and analyzed in conjunction with the prokaryotic composition profiles. A prokaryotic diversity analysis based on the metatranscriptome datasets revealed two or threefold higher diversity indices (associated with potentially active microbes participating in biogeochemical processes in Dongtan) compared with the diversity indices based on 16S rRNA gene amplicons. Bacteria were numerically dominant relative to archaea, and the potentially active prokaryotic taxa were mostly assigned to the bacterial phyla Chloroflexi, Acidobacteria, and Bacteroidetes and the classes Delta- and Gamma-proteobacteria, along with the archaeal lineages phylum Bathyarchaeota and the order Thermoplasmatales. The total nitrogen and carbon content of the sediment samples were environmental factors that significantly affected the depth-wise distributions of both bacterial and archaeal communities. Furthermore, the activity of potentially active taxa (including the prevalent order Desulfobacterales and family Anaerolineaceae) appeared to be significantly underestimated by PCR-based methods, notably at the DNA level, and indicates that using normal PCR amplification of DNA limits the study of potential microbial activity. This is the first study of potentially active microbial communities in depth-wise sediments from Dongtan. The improved knowledge of microbial communities in Dongtan provides a foundation for exploring biogeochemical cycling and microbial functions.
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spelling pubmed-57978012018-02-14 Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method Yan, Yong-Wei Jiang, Qiu-Yue Wang, Jian-Gong Zhu, Ting Zou, Bin Qiu, Qiong-Fen Quan, Zhe-Xue Front Microbiol Microbiology Intertidal mudflats are land–sea interaction areas and play important roles in global nutrient cycles. However, a comprehensive understanding of microbial communities in these mudflats remains elusive. In this study, mudflat sediment samples from the Dongtan wetland of Chongming Island, the largest alluvial island in the world, were collected. Using a modified metatranscriptomic method, the depth-wise distributions of potentially active microbial communities were investigated based on small subunit ribosomal RNA (SSU rRNA) sequences. Multiple environmental factors were also measured and analyzed in conjunction with the prokaryotic composition profiles. A prokaryotic diversity analysis based on the metatranscriptome datasets revealed two or threefold higher diversity indices (associated with potentially active microbes participating in biogeochemical processes in Dongtan) compared with the diversity indices based on 16S rRNA gene amplicons. Bacteria were numerically dominant relative to archaea, and the potentially active prokaryotic taxa were mostly assigned to the bacterial phyla Chloroflexi, Acidobacteria, and Bacteroidetes and the classes Delta- and Gamma-proteobacteria, along with the archaeal lineages phylum Bathyarchaeota and the order Thermoplasmatales. The total nitrogen and carbon content of the sediment samples were environmental factors that significantly affected the depth-wise distributions of both bacterial and archaeal communities. Furthermore, the activity of potentially active taxa (including the prevalent order Desulfobacterales and family Anaerolineaceae) appeared to be significantly underestimated by PCR-based methods, notably at the DNA level, and indicates that using normal PCR amplification of DNA limits the study of potential microbial activity. This is the first study of potentially active microbial communities in depth-wise sediments from Dongtan. The improved knowledge of microbial communities in Dongtan provides a foundation for exploring biogeochemical cycling and microbial functions. Frontiers Media S.A. 2018-01-31 /pmc/articles/PMC5797801/ /pubmed/29445367 http://dx.doi.org/10.3389/fmicb.2018.00093 Text en Copyright © 2018 Yan, Jiang, Wang, Zhu, Zou, Qiu and Quan. 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 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
Yan, Yong-Wei
Jiang, Qiu-Yue
Wang, Jian-Gong
Zhu, Ting
Zou, Bin
Qiu, Qiong-Fen
Quan, Zhe-Xue
Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title_full Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title_fullStr Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title_full_unstemmed Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title_short Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method
title_sort microbial communities and diversities in mudflat sediments analyzed using a modified metatranscriptomic method
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5797801/
https://www.ncbi.nlm.nih.gov/pubmed/29445367
http://dx.doi.org/10.3389/fmicb.2018.00093
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