ArticleBMC genetics2016
Metagenome-scale analysis yields insights into the structure and function of microbial communities in a copper bioleaching heap.
Article in BMC genetics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
25 citing papers in PubMed.
- Quorum sensing in biofilm-mediated heavy metal resistance and transformation: environmental perspectives and bioremediation.Frontiers in microbiology · 2025Review
- Mechanisms of bioleaching: iron and sulfur oxidation by acidophilic microorganisms.Essays in biochemistry · 2023Review
- Eurypsychrophilic acidophiles: From (meta)genomes to low-temperature biotechnologies.Frontiers in microbiology · 2023Review
- Functional Diversity of Microbial Communities in the Soybean (International journal of molecular sciences · 2022Article
- Recent progress in the application of omics technologies in the study of bio-mining microorganisms from extreme environments.Microbial cell factories · 2021Review
- Diversity of microbial community and its metabolic potential for nitrogen and sulfur cycling in sediments of Phu Quoc island, Gulf of Thailand.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021Article
- Metagenome-assembled genomes infer potential microbial metabolism in alkaline sulphidic tailings.Environmental microbiome · 2021Article
- Article
- Acid Mine Drainage as Habitats for Distinct Microbiomes: Current Knowledge in the Era of Molecular and Omic Technologies.Current microbiology · 2020Review
- Rhizosphere Metagenomics ofMicroorganisms · 2019Article
- Shotgun metagenomic sequencing from Manao-Pee cave, Thailand, reveals insight into the microbial community structure and its metabolic potential.BMC microbiology · 2019Article
- Comparative Genomic Analysis Reveals the Distribution, Organization, and Evolution of Metal Resistance Genes in the GenusApplied and environmental microbiology · 2019Article
- Effect of COFrontiers in microbiology · 2019Article
- Concentration-dependent responses of soil bacterial, fungal and nitrifying communities to silver nano and micron particles.Environmental science and pollution research international · 2018Article
- Codon usage bias reveals genomic adaptations to environmental conditions in an acidophilic consortium.PloS one · 2018Article
- Article
- Biomarker panels for characterizing microbial community biofilm formation as composite molecular process.PloS one · 2018Article
- Pan-Genome Analysis Links the Hereditary Variation ofFrontiers in microbiology · 2018Article
- Impact of metal stress on the production of secondary metabolites in Pteris vittata L. and associated rhizosphere bacterial communities.Environmental science and pollution research international · 2017Article
- Adaptive Evolution of Extreme Acidophile Sulfobacillus thermosulfidooxidans Potentially Driven by Horizontal Gene Transfer and Gene Loss.Applied and environmental microbiology · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundMetagenomics allows us to acquire the potential resources from both cultivatable and uncultivable microorganisms in the environment. Here, shotgun metagenome sequencing was used to investigate microbial communities from the surface layer of low grade copper tailings that were industrially bioleached at the Dexing Copper Mine, China. A bioinformatics analysis was further performed to elucidate structural and functional properties of the microbial communities in a copper bioleaching heap.
resultsTaxonomic analysis revealed unexpectedly high microbial biodiversity of this extremely acidic environment, as most sequences were phylogenetically assigned to Proteobacteria, while Euryarchaeota-related sequences occupied little proportion in this system, assuming that Archaea probably played little role in the bioleaching systems. At the genus level, the microbial community in mineral surface-layer was dominated by the sulfur- and iron-oxidizing acidophiles such as Acidithiobacillus-like populations, most of which were A. ferrivorans-like and A. ferrooxidans-like groups. In addition, Caudovirales were the dominant viral type observed in this extremely environment. Functional analysis illustrated that the principal participants related to the key metabolic pathways (carbon fixation, nitrogen metabolism, Fe(II) oxidation and sulfur metabolism) were mainly identified to be Acidithiobacillus-like, Thiobacillus-like and Leptospirillum-like microorganisms, indicating their vital roles. Also, microbial community harbored certain adaptive mechanisms (heavy metal resistance, low pH adaption, organic solvents tolerance and detoxification of hydroxyl radicals) as they performed their functions in the bioleaching system.
conclusionOur study provides several valuable datasets for understanding the microbial community composition and function in the surface-layer of copper bioleaching heap.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.