Literature DB >> 32979812

Belowground changes to community structure alter methane-cycling dynamics in Amazonia.

Kyle M Meyer1, Andrew H Morris2, Kevin Webster3, Ann M Klein4, Marie E Kroeger5, Laura K Meredith6, Andreas Brændholt7, Fernanda Nakamura8, Andressa Venturini8, Leandro Fonseca de Souza8, Katherine L Shek2, Rachel Danielson9, Joost van Haren10, Plinio Barbosa de Camargo8, Siu Mui Tsai8, Fernando Dini-Andreote11, José M S de Mauro12, Jos Barlow13, Erika Berenguer14, Klaus Nüsslein5, Scott Saleska7, Jorge L M Rodrigues9, Brendan J M Bohannan2.   

Abstract

Amazonian rainforest is undergoing increasing rates of deforestation, driven primarily by cattle pasture expansion. Forest-to-pasture conversion has been associated with increases in soil methane (CH4) emission. To better understand the drivers of this change, we measured soil CH4 flux, environmental conditions, and belowground microbial community structure across primary forests, cattle pastures, and secondary forests in two Amazonian regions. We show that pasture soils emit high levels of CH4 (mean: 3454.6 ± 9482.3 μg CH4 m-2 d-1), consistent with previous reports, while forest soils on average emit CH4 at modest rates (mean: 9.8 ± 120.5 μg CH4 m-2 d-1), but often act as CH4 sinks. We report that secondary forest soils tend to consume CH4 (mean: -10.2 ± 35.7 μg CH4 m-2 d-1), demonstrating that pasture CH4 emissions can be reversed. We apply a novel computational approach to identify microbial community attributes associated with flux independent of soil chemistry. While this revealed taxa known to produce or consume CH4 directly (i.e. methanogens and methanotrophs, respectively), the vast majority of identified taxa are not known to cycle CH4. Each land use type had a unique subset of taxa associated with CH4 flux, suggesting that land use change alters CH4 cycling through shifts in microbial community composition. Taken together, we show that microbial composition is crucial for understanding the observed CH4 dynamics and that microorganisms provide explanatory power that cannot be captured by environmental variables.
Copyright © 2020 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Amazon basin; Biodiversity-ecosystem function; Land use change; Methane; Methanogen; Methanotroph; Microbial ecology

Year:  2020        PMID: 32979812     DOI: 10.1016/j.envint.2020.106131

Source DB:  PubMed          Journal:  Environ Int        ISSN: 0160-4120            Impact factor:   9.621


  2 in total

1.  Correlation of Key Physiological Properties of Methanosarcina Isolates with Environment of Origin.

Authors:  Jinjie Zhou; Dawn E Holmes; Hai-Yan Tang; Derek R Lovley
Journal:  Appl Environ Microbiol       Date:  2021-06-11       Impact factor: 4.792

2.  Genome-resolved metagenomics reveals novel archaeal and bacterial genomes from Amazonian forest and pasture soils.

Authors:  Andressa M Venturini; Júlia B Gontijo; Jéssica A Mandro; Fabiana S Paula; Caio A Yoshiura; Aline G da França; Siu M Tsai
Journal:  Microb Genom       Date:  2022-07
  2 in total

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