Literature DB >> 25195805

Microbial community composition and in silico predicted metabolic potential reflect biogeochemical gradients between distinct peatland types.

Zuzana Urbanová1, Jiří Bárta.   

Abstract

It is not well understood how the ecological status and microbial community composition of spruce swamp forests (SSF) relate to those found in bogs and fens. To clarify this, we investigated biogeochemical parameters and microbial community composition in a bog, a fen and two SSF using high throughput barcoded sequencing of the small ribosomal subunit (SSU) variable region V4. The results demonstrated that the microbial community of SSF is positioned between those of bogs and fens, and this was confirmed by in silico predicted metabolic potentials. This corresponds well with the position of SSF on the trophic gradient and reflects distinct responses of microbial communities to environmental variables. Species richness and microbial diversity increased significantly from bog to fen, with SSF in between, reflecting the variation in pH, nutrient availability and peat decomposability. The archaeal community, dominated by hydrogenotrophic methanogens, was more similar in SSF and the bog compared with the fen. The composition of the bacterial community of SSF was intermediate between those of bog and fen. However, the production of CO2 (an indicator of peat decomposability) did not differ between SSF and bog, suggesting the limiting effect of low pH and poor litter quality on the functioning of the bacterial community in SSF. These results help to clarify the transitional position of SSF between bogs and fens and showed the strong effect of environmental conditions on microbial community composition and functioning.
© 2014 Federation of European Microbiological Societies. Published by John Wiley & Sons Ltd. All rights reserved.

Entities:  

Keywords:  Archaea; bacteria; bog; fen; microbial diversity; spruce swamp forest

Mesh:

Substances:

Year:  2014        PMID: 25195805     DOI: 10.1111/1574-6941.12422

Source DB:  PubMed          Journal:  FEMS Microbiol Ecol        ISSN: 0168-6496            Impact factor:   4.194


  6 in total

1.  Spatial heterogeneity of belowground microbial communities linked to peatland microhabitats with different plant dominants.

Authors:  Alica Chroňáková; Jiří Bárta; Eva Kaštovská; Zuzana Urbanová; Tomáš Picek
Journal:  FEMS Microbiol Ecol       Date:  2019-09-01       Impact factor: 4.194

2.  Structure, dynamics and predicted functional role of the gut microbiota of the blue (Haliotis fulgens) and yellow (H. corrugata) abalone from Baja California Sur, Mexico.

Authors:  Francesco Cicala; José Alejandro Cisterna-Céliz; James D Moore; Axayácatl Rocha-Olivares
Journal:  PeerJ       Date:  2018-11-02       Impact factor: 2.984

3.  Comparison of bacterial community structure and potential functions in hypoxic and non-hypoxic zones of the Changjiang Estuary.

Authors:  Dong-Mei Wu; Qiu-Ping Dai; Xue-Zhu Liu; Ying-Ping Fan; Jian-Xin Wang
Journal:  PLoS One       Date:  2019-06-06       Impact factor: 3.240

4.  Structural Variations of Bacterial Community Driven by Sphagnum Microhabitat Differentiation in a Subalpine Peatland.

Authors:  Wen Tian; Hongmei Wang; Xing Xiang; Ruicheng Wang; Ying Xu
Journal:  Front Microbiol       Date:  2019-07-24       Impact factor: 5.640

5.  Peatland Acidobacteria with a dissimilatory sulfur metabolism.

Authors:  Bela Hausmann; Claus Pelikan; Craig W Herbold; Stephan Köstlbacher; Mads Albertsen; Stephanie A Eichorst; Tijana Glavina Del Rio; Martin Huemer; Per H Nielsen; Thomas Rattei; Ulrich Stingl; Susannah G Tringe; Daniela Trojan; Cecilia Wentrup; Dagmar Woebken; Michael Pester; Alexander Loy
Journal:  ISME J       Date:  2018-02-23       Impact factor: 10.302

6.  Distinct Microbial Assemblage Structure and Archaeal Diversity in Sediments of Arctic Thermokarst Lakes Differing in Methane Sources.

Authors:  Paula B Matheus Carnevali; Craig W Herbold; Kevin P Hand; John C Priscu; Alison E Murray
Journal:  Front Microbiol       Date:  2018-06-07       Impact factor: 5.640

  6 in total

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