Soil microbial community dynamics and assembly under long-term land use change
| Autor: | Goss-Souza, Dennis, Mendes, Lucas William, Borges, Clovis Daniel, Baretta, Dilmar, Tsai, Siu Mui, Rodrigues, Jorge LM |
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| Jazyk: | angličtina |
| Rok vydání: | 2017 |
| Předmět: |
land use change
Conservation of Natural Resources Bacteria Life on Land food and beverages Biodiversity Forests Biological Sciences Archaea Grassland Microbiology Medical and Health Sciences complex mixtures metagenome neutral and niche model specialization deforestation natural sciences Soil Microbiology community ecology Environmental Sciences |
| Zdroj: | Goss-Souza, D; Mendes, LW; Borges, CD; Baretta, D; Tsai, SM; & Rodrigues, JLM. (2017). Soil microbial community dynamics and assembly under long-term land use change. FEMS Microbiology Ecology, 93(10). doi: 10.1093/femsec/fix109. UC Davis: Retrieved from: http://www.escholarship.org/uc/item/6bj4p9c9 FEMS microbiology ecology, vol 93, iss 10 |
| Popis: | © FEMS 2017. We evaluated the bacterial and archaeal community dynamics and assembly in soils under forest, grassland and no-till cropping, using a high-throughput shotgun metagenomics approach. No significant alterations in alpha diversity were observed among different land uses, but beta diversity in grassland was lower than that observed in forest and no-till soils. Grassland communities showed assembly that predominantly followed the neutral model, i.e. high homogenizing selection with moderate dispersion, leading to biotic homogenization. Both no-till and forest soil communities were found to have assembly that predominantly followed a niche model, i.e. low rates of dispersal and weak homogenizing selection, resulting in maintenance of higher beta diversity relative to grasslands, indicating niche specialization or variable selection. Taken together, our results indicate that the patterns of assembly and their governing processes are dependent on the land use employed after deforestation, with consequences for taxa turnover and microbial functional potential. |
| Databáze: | OpenAIRE |
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