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Metagenomic exploration of microbial community in mine tailings of Malanjkhand copper project, India.

ABSTRACT: Mine tailings from copper mines are considered as one of the sources of highly hazardous acid mine drainage (AMD) due to bio-oxidation of its sulfidic constituents. This study was designed to understand microbial community composition and potential for acid generation using samples from mine tailings of Malanjkhand copper project (MCP), India through 16S rRNA gene based amplicon sequencing approach (targeting V4 region). Three tailings samples (T1, T2 and T3) with varied physiochemical properties selected for the study revealed distinct microbial assemblages. Sample (T3) with most extreme nature (pH < 2.0) harbored Proteobacteria, Actinobacteria, Chloroflexi while the samples (T1 and T3) with slightly moderate nature (pH < 4.0 and > 3.0) exhibited abundance of Proteobacteria, Fimicutes, Actinobacteria and/or Nitrospirae. Metagenomic sequences are available under the BioProject ID PRJNA361456.

SUBMITTER: Gupta A

PROVIDER: S-EPMC5315440 | biostudies-literature | 2017 Jun

REPOSITORIES: biostudies-literature

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Metagenomic exploration of microbial community in mine tailings of Malanjkhand copper project, India.

Gupta Abhishek A Dutta Avishek A Sarkar Jayeeta J Paul Dhiraj D Panigrahi Mruganka Kumar MK Sar Pinaki P

Genomics data 20170204

Mine tailings from copper mines are considered as one of the sources of highly hazardous acid mine drainage (AMD) due to bio-oxidation of its sulfidic constituents. This study was designed to understand microbial community composition and potential for acid generation using samples from mine tailings of Malanjkhand copper project (MCP), India through 16S rRNA gene based amplicon sequencing approach (targeting V4 region). Three tailings samples (T1, T2 and T3) with varied physiochemical propertie ...[more]

PMID: 28239550

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Project description:Copper mining, the central axis of Chile's economic development, produces a large number of tailings, which become a potential environmental risk. This study aims to evaluate the mechanical properties resulting from the making of Portland cement mixtures with tailings as aggregates so that they can be eventually used in paving stones for building inactive tailings dams. Tailings coming from two dams at a concentration plant located in Taltal (Chile) were used. Currently, Dam 1 is inactive, while Dam 2 is active. The tailings samples obtained from both dams were granulometrically characterized by sieving. In addition, pH, humidity, Eh, and mineralogical assays (sulfides, oxides, sulfates, carbonates, phosphates, and silicates) were measured. The fines content of the tailings from Dams 1 and 2 with a sieve size of N°200 ASTM were 76.2% and 29.6%, respectively. Therefore, owing to their high percentage of fines, they cannot be as used as concrete aggregates. Aggregates must contain a maximum percentage of fines so that mortars and concrete can meet Chilean standards. In this paper, to comply with a 7% and 15% fines content lower than 0.075 mm, tailings materials were mixed with conventional aggregates containing very little fines. In addition, a reference mixture was made with only tailings aggregates with and without a superplasticizer additive. To measure the mixtures of cement, aggregates, and tailings, bending and compression strength assays were made of the specimens after a 28-day curing, according to the Chilean standard. The results of the study show that the addition of only part of the tailings to the mixture increases bending strength by 26% and compression strength by 180% compared with the reference mortar, with a fines content lower than 0.075 mm in the 7% mixture, thus allowing paving stone manufacture with tailings materials. In addition, it was possible to increase the workability of the reference mixture by using superplasticizers as additives.

Dataset Information

Metagenomic exploration of microbial community in mine tailings of Malanjkhand copper project, India.

Publications

Metagenomic exploration of microbial community in mine tailings of Malanjkhand copper project, India.

Similar Datasets

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