期刊
MOLECULAR ECOLOGY
卷 23, 期 12, 页码 2988-2999出版社
WILEY
DOI: 10.1111/mec.12786
关键词
association index; functional gene arrays; GeoChip; soil microbes; tropical forest
资金
- Agriculture and Food Research Initiative Competitive Grant from the US Department of Agriculture National Institute of Food and Agriculture [2009-35319-05186]
- CAPES Foundation, Ministry of Education of Brazil [0246-10-7]
- United States Department of Agriculture through NSF-USDA Microbial Observatories Program [2007-35319-18305]
- ENIGMA (Ecosystems and Networks Integrated with Genes and Molecular Assemblies) through the Office of Science, Office of Biological and Environmental Research, the U.S. Department of Energy [DE-AC02-05CH11231]
- OBER Biological Systems Research on the Role of Microbial Communities in Carbon Cycling Program [DE-SC0004601]
- U.S. National Science Foundation MacroSystems Biology Program [NSF EF-1065844]
- NIFA [582532, 2009-35319-05186] Funding Source: Federal RePORTER
- Emerging Frontiers
- Direct For Biological Sciences [1065844] Funding Source: National Science Foundation
Land use change in the Amazon rainforest alters the taxonomic structure of soil microbial communities, but whether it alters their functional gene composition is unknown. We used the highly parallel microarray technology GeoChip 4.0, which contains 83992 probes specific for genes linked nutrient cycling and other processes, to evaluate how the diversity, abundance and similarity of the targeted genes responded to forest-to-pasture conversion. We also evaluated whether these parameters were reestablished with secondary forest growth. A spatially nested scheme was employed to sample a primary forest, two pastures (6 and 38years old) and a secondary forest. Both pastures had significantly lower microbial functional genes richness and diversity when compared to the primary forest. Gene composition and turnover were also significantly modified with land use change. Edaphic traits associated with soil acidity, iron availability, soil texture and organic matter concentration were correlated with these gene changes. Although primary and secondary forests showed similar functional gene richness and diversity, there were differences in gene composition and turnover, suggesting that community recovery was not complete in the secondary forest. Gene association analysis revealed that response to ecosystem conversion varied significantly across functional gene groups, with genes linked to carbon and nitrogen cycling mostly altered. This study indicates that diversity and abundance of numerous environmentally important genes respond to forest-to-pasture conversion and hence have the potential to affect the related processes at an ecosystem scale.
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