@article {1417, title = {Land use change alters functional gene diversity, composition and abundance in Amazon forest soil microbial communities.}, journal = {Mol Ecol}, volume = {23}, year = {2014}, month = {2014 Jun}, pages = {2988-99}, abstract = {

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 83,992 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 38 years 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.

}, keywords = {Agriculture, Carbon Cycle, Ecosystem, Genes, Bacterial, Genes, Fungal, Genetic Variation, Metagenome, Multigene Family, Nitrogen Cycle, Oligonucleotide Array Sequence Analysis, Soil Microbiology, Trees, Tropical Climate}, issn = {1365-294X}, doi = {10.1111/mec.12786}, author = {Paula, Fabiana S and Rodrigues, Jorge L M and Zhou, Jizhong and Wu, Liyou and Mueller, Rebecca C and Mirza, Babur S and Bohannan, Brendan J M and N{\"u}sslein, Klaus and Deng, Ye and Tiedje, James M and Pellizari, Vivian H} } @article {1420, title = {Response of free-living nitrogen-fixing microorganisms to land use change in the Amazon rainforest.}, journal = {Appl Environ Microbiol}, volume = {80}, year = {2014}, month = {2014 Jan}, pages = {281-8}, abstract = {

The Amazon rainforest, the largest equatorial forest in the world, is being cleared for pasture and agricultural use at alarming rates. Tropical deforestation is known to cause alterations in microbial communities at taxonomic and phylogenetic levels, but it is unclear whether microbial functional groups are altered. We asked whether free-living nitrogen-fixing microorganisms (diazotrophs) respond to deforestation in the Amazon rainforest, using analysis of the marker gene nifH. Clone libraries were generated from soil samples collected from a primary forest, a 5-year-old pasture originally converted from primary forest, and a secondary forest established after pasture abandonment. Although diazotroph richness did not significantly change among the three plots, diazotroph community composition was altered with forest-to-pasture conversion, and phylogenetic similarity was higher among pasture communities than among those in forests. There was also 10-fold increase in nifH gene abundance following conversion from primary forest to pasture. Three environmental factors were associated with the observed changes: soil acidity, total N concentration, and C/N ratio. Our results suggest a partial restoration to initial levels of abundance and community structure of diazotrophs following pasture abandonment, with primary and secondary forests sharing similar communities. We postulate that the response of diazotrophs to land use change is a direct consequence of changes in plant communities, particularly the higher N demand of pasture plant communities for supporting aboveground plant growth.

}, keywords = {Agriculture, Bacteria, Biota, Carbon, Cluster Analysis, Conservation of Natural Resources, Human Activities, Hydrogen-Ion Concentration, Molecular Sequence Data, Nitrogen, Nitrogen Fixation, Oxidoreductases, Phylogeny, Sequence Analysis, DNA, Soil, Soil Microbiology, South America, Trees}, issn = {1098-5336}, doi = {10.1128/AEM.02362-13}, author = {Mirza, Babur S and Potisap, Chotima and N{\"u}sslein, Klaus and Bohannan, Brendan J M and Rodrigues, Jorge L M} } @article {1423, title = {Conversion of the Amazon rainforest to agriculture results in biotic homogenization of soil bacterial communities.}, journal = {Proc Natl Acad Sci U S A}, volume = {110}, year = {2013}, month = {2013 Jan 15}, pages = {988-93}, abstract = {

The Amazon rainforest is the Earth\&$\#$39;s largest reservoir of plant and animal diversity, and it has been subjected to especially high rates of land use change, primarily to cattle pasture. This conversion has had a strongly negative effect on biological diversity, reducing the number of plant and animal species and homogenizing communities. We report here that microbial biodiversity also responds strongly to conversion of the Amazon rainforest, but in a manner different from plants and animals. Local taxonomic and phylogenetic diversity of soil bacteria increases after conversion, but communities become more similar across space. This homogenization is driven by the loss of forest soil bacteria with restricted ranges (endemics) and results in a net loss of diversity. This study shows homogenization of microbial communities in response to human activities. Given that soil microbes represent the majority of biodiversity in terrestrial ecosystems and are intimately involved in ecosystem functions, we argue that microbial biodiversity loss should be taken into account when assessing the impact of land use change in tropical forests.

}, keywords = {Agriculture, Animals, Bacteria, Biodiversity, Brazil, Cattle, Ecosystem, Humans, Phylogeny, Rain, Soil Microbiology, Trees, Tropical Climate}, issn = {1091-6490}, doi = {10.1073/pnas.1220608110}, author = {Rodrigues, Jorge L M and Pellizari, Vivian H and Mueller, Rebecca and Baek, Kyunghwa and Jesus, Ederson da C and Paula, Fabiana S and Mirza, Babur and Hamaoui, George S and Tsai, Siu Mui and Feigl, Brigitte and Tiedje, James M and Bohannan, Brendan J M and N{\"u}sslein, Klaus} } @article {753, title = {Soil bacterial community shift correlated with change from forest to pasture vegetation in a tropical soil.}, journal = {Appl Environ Microbiol}, volume = {65}, year = {1999}, month = {1999 Aug}, pages = {3622-6}, abstract = {The change in vegetative cover of a Hawaiian soil from forest to pasture led to significant changes in the composition of the soil bacterial community. DNAs were extracted from both soil habitats and compared for the abundance of guanine-plus-cytosine (G+C) content, by analysis of abundance of phylotypes of small-subunit ribosomal DNA (SSU rDNA) amplified from fractions with 63 and 35\% G+C contents, and by phylogenetic analysis of the dominant rDNA clones in the 63\% G+C content fraction. All three methods showed differences between the forest and pasture habitats, providing evidence that vegetation had a strong influence on microbial community composition at three levels of taxon resolution. The forest soil DNA had a peak in G+C content of 61\%, while the DNA of the pasture soil had a peak in G+C content of 67\%. None of the dominant phylotypes found in the forest soil were detected in the pasture soil. For the 63\% G+C fraction SSU rDNA sequence analysis of the three most dominant members revealed that their phyla changed from Fibrobacter and Syntrophomonas assemblages in the forest soil to Burkholderia and Rhizobium-Agrobacterium assemblages in the pasture soil.}, keywords = {Agriculture, Bacteria, Base Composition, DNA, Bacterial, Ecosystem, Molecular Sequence Data, Soil Microbiology, Trees, Tropical Climate}, issn = {0099-2240}, author = {N{\"u}sslein, K and Tiedje, J M} }