scholarly journals Differential Response of Acidobacteria Subgroups to Forest-to-Pasture Conversion and Their Biogeographic Patterns in the Western Brazilian Amazon

2015 ◽  
Vol 6 ◽  
Author(s):  
Acacio A. Navarrete ◽  
Andressa M. Venturini ◽  
Kyle M. Meyer ◽  
Ann M. Klein ◽  
James M. Tiedje ◽  
...  
1996 ◽  
Vol 101 (D13) ◽  
pp. 18547-18554 ◽  
Author(s):  
Paul A. Steudler ◽  
Jerry M. Melillo ◽  
Brigitte J. Feigl ◽  
Christopher Neill ◽  
Marisa C. Piccolo ◽  
...  

2020 ◽  
Author(s):  
Marie E. Kroeger ◽  
Laura K. Meredith ◽  
Kyle M. Meyer ◽  
Kevin D. Webster ◽  
Plinio Barbosa de Camargo ◽  
...  

ABSTRACTThe Amazon rainforest is a biodiversity hotspot and large terrestrial carbon sink that is threatened by agricultural conversion. Rainforest-to-pasture conversion leads to the release of a potent greenhouse gas by converting soil from a methane sink into a source. The biotic methane cycle is driven by microorganisms; therefore, this study focused on active methane-cycling microorganisms and their functions across land-use types. We collected intact soil cores from three land use types (primary rainforest, pasture, and secondary rainforest) of two geographically distinct areas of the Brazilian Amazon (Santarém, Pará and Ariquemes, Rondônia) and performed DNA stable-isotope probing coupled with metagenomics to identify the active methanotrophs and methanogens. At both locations, we observed a significant change in the composition of the isotope-labeled methane-cycling microbial community across land use types, specifically an increase in the abundance and diversity of active methanogens in pastures. We conclude that a significant increase in the abundance and activity of methanogens in pasture soils could explain the greater methane flux. Furthermore, we found that secondary rainforests recovered as methane sinks, indicating the potential for reforestation to offset greenhouse gas emissions in the tropics. These findings are critical for informing land management practices and global tropical rainforest conservation.


2004 ◽  
Vol 10 (5) ◽  
pp. 815-832 ◽  
Author(s):  
Carlos Eduardo P. Cerri ◽  
Keith Paustian ◽  
Martial Bernoux ◽  
Reynaldo L. Victoria ◽  
Jerry M. Melillo ◽  
...  

2018 ◽  
Vol 95 (3) ◽  
Author(s):  
Alexandre Pedrinho ◽  
Lucas William Mendes ◽  
Luis Fernando Merloti ◽  
Mariley de Cassia da Fonseca ◽  
Fabiana de Souza Cannavan ◽  
...  

2020 ◽  
Author(s):  
Md Abdul Wadud Khan ◽  
Brendan J. M. Bohannan ◽  
Kyle M. Meyer ◽  
Ann M. Klein ◽  
Klaus Nüsslein ◽  
...  

ABSTRACTDespite the global importance in ecological processes, the Amazon rainforest has been subjected to high rates of deforestation, mostly for pasturelands, over the last few decades. In this study, we used a combination of deep shotgun metagenomics and a machine learning approach to compare physiological strategies of microbial communities between contrasting forest and pasture soils. We showed that microbial communities (bacteria, archaea and viruses), and the composition of protein-coding genes are distinct in each ecosystem. The diversities of these metagenomic datasets are strongly correlated, indicating that the protein-coding genes found in any given sample of these soil types are predictable from their taxonomic lineages. Shifts in metagenome profiles reflected potential physiological differences caused by forest-to-pasture conversion with alterations in gene abundances related to carbohydrate and energy metabolisms. These variations in these gene contents are associated with several soil factors including C/N, temperature and H++Al3+ (exchangeable acidity). These data underscore that microbial community taxa and protein-coding genes co-vary. Differences in gene abundances for carbohydrate utilization, energy, amino acid, and xenobiotic metabolisms indicate alterations of physiological strategy with forest-to-pasture conversion, with potential consequences to C and N cycles. Our analysis also indicated that soil virome was altered and shifts in the viral community provide insights into increased health risks to human and animal populations.


2020 ◽  
Author(s):  
Marie E. Kroeger ◽  
Laura K. Meredith ◽  
Kyle M. Meyer ◽  
Kevin D. Webster ◽  
Plinio Barbosa de Camargo ◽  
...  

Abstract The Amazon rainforest is a biodiversity hotspot and large terrestrial carbon sink threatened by agricultural conversion. Rainforest-to-pasture conversion stimulates the release of methane, a potent greenhouse gas. The biotic methane cycle is driven by microorganisms; therefore, this study focused on active methane-cycling microorganisms and their functions across land-use types. We collected intact soil cores from three land use types (primary rainforest, pasture, and secondary rainforest) of two geographically distinct areas of the Brazilian Amazon (Santarém, Pará and Ariquemes, Rondônia) and performed DNA stable-isotope probing coupled with metagenomics to identify the active methanotrophs and methanogens. At both locations, we observed a significant change in the composition of the isotope-labeled methane-cycling microbial community across land use types, specifically an increase in the abundance and diversity of active methanogens in pastures. We conclude that a significant increase in the abundance and activity of methanogens in pasture soils could drive increased soil methane emissions. Furthermore, we found that secondary rainforests had decreased methanogenic activity similar to primary rainforests, and thus a potential to recover as methane sinks, making it conceivable for forest restoration to offset greenhouse gas emissions in the tropics. These findings are critical for informing land management practices and global tropical rainforest conservation.


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