Influence of agricultural activities in the structure and metabolic functionality of paramo soil samples in Colombia studied using a metagenomics analysis in dynamic state

Astrid Catalina Alvarez-Yela, María Camila Alvarez-Silva, Silvia Restrepo, Johana Husserl, María Mercedes Zambrano, Giovanna Danies, Jorge M. Gómez and Andrés Fernando González Barrios

Ecological Modelling, 2017, vol. 351, issue C, 63-76

Abstract: Soil is one of the most variable and complex habitats on earth where microbial communities and their metabolic capabilities are greatly affected by agricultural activities. Nevertheless, the impact of these activities has been poorly studied and more detailed analyses are required in order to understand soil ecosystems at both a structural and metabolic level. Here, we conducted a detailed metagenomics analysis to establish the effect of anthropogenic interventions on microbial communities and on the biogeochemical cycle dynamics in soil. Our results suggest that the agricultural activities lead to shifts in the structure of microbial communities characterized by an increase in ammonia-oxidizing archaea, bacteria with copiotrophic features, and ascomycete fungi. The most important biogeochemical processes were related to the carbon and nitrogen cycles. These shifts in the composition of microbial communities led to a loss in the metabolic functional diversity, which was reflected by the lower metabolic activity found. On the other hand, in the non-intervened soil, an increased metabolic activity was observed. The biogeochemical cycles behaved in an interdependent and synergistic way. We were able to elucidate how soil ecosystems dynamics is influenced by agricultural activities in a paramo ecosystem in Colombia.

Keywords: Metagenomics; Metabolic networks; Dynamic flux balance analysis (DFBA); Biogeochemical cycles; Metagenomic modelling (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ecomod:v:351:y:2017:i:c:p:63-76

DOI: 10.1016/j.ecolmodel.2017.02.010

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