PMID- 25129578 OWN - NLM STAT- MEDLINE DCOM- 20150623 LR - 20171116 IS - 1572-9699 (Electronic) IS - 0003-6072 (Linking) VI - 106 IP - 5 DP - 2014 Nov TI - Bacterial diversity assessment in soil of an active Brazilian copper mine using high-throughput sequencing of 16S rDNA amplicons. PG - 879-90 LID - 10.1007/s10482-014-0257-6 [doi] AB - Mining activities pose severe environmental risks worldwide, generating extreme pH conditions and high concentrations of heavy metals, which can have major impacts on the survival of organisms. In this work, pyrosequencing of the V3 region of the 16S rDNA was used to analyze the bacterial communities in soil samples from a Brazilian copper mine. For the analysis, soil samples were collected from the slopes (geotechnical structures) and the surrounding drainage of the Sossego mine (comprising the Sossego and Sequeirinho deposits). The results revealed complex bacterial diversity, and there was no influence of deposit geographic location on the composition of the communities. However, the environment type played an important role in bacterial community divergence; the composition and frequency of OTUs in the slope samples were different from those of the surrounding drainage samples, and Acidobacteria, Chloroflexi, Firmicutes, and Gammaproteobacteria were responsible for the observed difference. Chemical analysis indicated that both types of sample presented a high metal content, while the amounts of organic matter and water were higher in the surrounding drainage samples. Non-metric multidimensional scaling (N-MDS) analysis identified organic matter and water as important distinguishing factors between the bacterial communities from the two types of mine environment. Although habitat-specific OTUs were found in both environments, they were more abundant in the surrounding drainage samples (around 50 %), and contributed to the higher bacterial diversity found in this habitat. The slope samples were dominated by a smaller number of phyla, especially Firmicutes. The bacterial communities from the slope and surrounding drainage samples were different in structure and composition, and the organic matter and water present in these environments contributed to the observed differences. FAU - Rodrigues, Viviane D AU - Rodrigues VD AD - Center for Molecular Biology and Genetic Engineering (CBMEG), State University of Campinas-UNICAMP, POB 6010, Campinas, SP, 13083-875, Brazil, vivibiotec@gmail.com. FAU - Torres, Tatiana T AU - Torres TT FAU - Ottoboni, Laura M M AU - Ottoboni LM LA - eng PT - Journal Article PT - Research Support, Non-U.S. Gov't DEP - 20140817 PL - Netherlands TA - Antonie Van Leeuwenhoek JT - Antonie van Leeuwenhoek JID - 0372625 RN - 0 (DNA, Bacterial) RN - 0 (DNA, Ribosomal) RN - 0 (Metals) RN - 0 (Organic Chemicals) RN - 0 (RNA, Ribosomal, 16S) RN - 0 (Soil) RN - 059QF0KO0R (Water) RN - 789U1901C5 (Copper) SB - IM MH - Bacteria/*classification/*genetics MH - *Biota MH - Brazil MH - Cluster Analysis MH - Copper MH - DNA, Bacterial/chemistry/genetics MH - DNA, Ribosomal/chemistry/genetics MH - Metals/analysis MH - Organic Chemicals/analysis MH - RNA, Ribosomal, 16S/genetics MH - Sequence Analysis, DNA MH - Soil/chemistry MH - *Soil Microbiology MH - Water/analysis EDAT- 2014/08/19 06:00 MHDA- 2015/06/24 06:00 CRDT- 2014/08/18 06:00 PHST- 2014/02/07 00:00 [received] PHST- 2014/08/08 00:00 [accepted] PHST- 2014/08/18 06:00 [entrez] PHST- 2014/08/19 06:00 [pubmed] PHST- 2015/06/24 06:00 [medline] AID - 10.1007/s10482-014-0257-6 [doi] PST - ppublish SO - Antonie Van Leeuwenhoek. 2014 Nov;106(5):879-90. doi: 10.1007/s10482-014-0257-6. Epub 2014 Aug 17.