@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 {413, title = {Microbial functional gene diversity with a shift of subsurface redox conditions during In Situ uranium reduction.}, journal = {Appl Environ Microbiol}, volume = {78}, year = {2012}, month = {2012 Apr}, pages = {2966-72}, abstract = {To better understand the microbial functional diversity changes with subsurface redox conditions during in situ uranium bioremediation, key functional genes were studied with GeoChip, a comprehensive functional gene microarray, in field experiments at a uranium mill tailings remedial action (UMTRA) site (Rifle, CO). The results indicated that functional microbial communities altered with a shift in the dominant metabolic process, as documented by hierarchical cluster and ordination analyses of all detected functional genes. The abundance of dsrAB genes (dissimilatory sulfite reductase genes) and methane generation-related mcr genes (methyl coenzyme M reductase coding genes) increased when redox conditions shifted from Fe-reducing to sulfate-reducing conditions. The cytochrome genes detected were primarily from Geobacter sp. and decreased with lower subsurface redox conditions. Statistical analysis of environmental parameters and functional genes indicated that acetate, U(VI), and redox potential (E(h)) were the most significant geochemical variables linked to microbial functional gene structures, and changes in microbial functional diversity were strongly related to the dominant terminal electron-accepting process following acetate addition. The study indicates that the microbial functional genes clearly reflect the in situ redox conditions and the dominant microbial processes, which in turn influence uranium bioreduction. Microbial functional genes thus could be very useful for tracking microbial community structure and dynamics during bioremediation.}, keywords = {Biodegradation, Environmental, Biota, Environmental Microbiology, Environmental Pollutants, Genetic Variation, Microarray Analysis, Oxidation-Reduction, Uranium}, issn = {1098-5336}, doi = {10.1128/AEM.06528-11}, author = {Liang, Yuting and Van Nostrand, Joy D and N{\textquoteright}guessan, Lucie A and Peacock, Aaron D and Deng, Ye and Long, Philip E and Resch, C Tom and Wu, Liyou and He, Zhili and Li, Guanghe and Hazen, Terry C and Lovley, Derek R and Zhou, Jizhong} }