ArticleFrontiers in microbiology2016
Physiological and Metagenomic Analyses of Microbial Mats Involved in Self-Purification of Mine Waters Contaminated with Heavy Metals.
Article in Frontiers in microbiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 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
22 citing papers in PubMed, 66 citations in OpenAlex.
- The Role of Phytoplankton and Sediment Microbial Community on Sr, U, Pu, and Am Behavior in Freshwater Lake Dryazlo.Biology · 2026Article
- Removal of hexavalent chromium by a microbial mat from a mining site under anaerobic conditions.Frontiers in bioengineering and biotechnology · 2025Article
- Quorum sensing in biofilm-mediated heavy metal resistance and transformation: environmental perspectives and bioremediation.Frontiers in microbiology · 2025Review
- Article
- Anode Modification with FeInternational journal of environmental research and public health · 2023Article
- Gradients and consequences of heterogeneity in biofilms.Nature reviews. Microbiology · 2022Review
- Invasive Grass Dominance over Native Forbs Is Linked to Shifts in the Bacterial Rhizosphere Microbiome.Microbial ecology · 2022Article
- Two New Species of Filamentous Sulfur Bacteria of the GenusMicroorganisms · 2022Article
- Toxic trace element resistance genes and systems identified using the shotgun metagenomics approach in an Iranian mine soil.Environmental science and pollution research international · 2021Article
- Arsenic pollution in Quaternary sediments and water near a former gold mine.Scientific reports · 2020Article
- Identification, Characterization, and Genomic Analysis of NovelInternational journal of molecular sciences · 2020Article
- Insights Into the Resistome of Bovine Clinical Mastitis Microbiome, a Key Factor in Disease Complication.Frontiers in microbiology · 2020Article
- Streptophyta and Acetic Acid Bacteria Succession Promoted by Brass in Slow Sand Filter System Schmutzdeckes.Scientific reports · 2019Article
- Genomic Analysis ofInternational journal of molecular sciences · 2019Article
- Comparative analysis of deep sequenced methanogenic communities: identification of microorganisms responsible for methane production.Microbial cell factories · 2018Article
- The Bacterial Population of Neutral Mine Drainage Water of Elizabeth's Shaft (Slovinky, Slovakia).Current microbiology · 2018Article
- Article
- PlasFlow: predicting plasmid sequences in metagenomic data using genome signatures.Nucleic acids research · 2018Article
- Microbial Community Shifts in Response to Acid Mine Drainage Pollution Within a Natural Wetland Ecosystem.Frontiers in microbiology · 2018Article
- Comparison of two bioinformatics tools used to characterize the microbial diversity and predictive functional attributes of microbial mats from Lake Obersee, Antarctica.Journal of microbiological methods · 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
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Two microbial mats found inside two old (gold and uranium) mines in Zloty Stok and Kowary located in SW Poland seem to form a natural barrier that traps heavy metals leaking from dewatering systems. We performed complex physiological and metagenomic analyses to determine which microorganisms are the main driving agents responsible for self-purification of the mine waters and identify metabolic processes responsible for the observed features. SEM and energy dispersive X-ray microanalysis showed accumulation of heavy metals on the mat surface, whereas, sorption experiments showed that neither microbial mats were completely saturated with heavy metals present in the mine waters, indicating that they have a large potential to absorb significant quantities of metal. The metagenomic analysis revealed that Methylococcaceae and Methylophilaceae families were the most abundant in both communities, moreover, it strongly suggest that backbones of both mats were formed by filamentous bacteria, such as Leptothrix, Thiothrix, and Beggiatoa. The Kowary bacterial community was enriched with the Helicobacteraceae family, whereas the Zloty Stok community consist mainly of Sphingomonadaceae, Rhodobacteraceae, and Caulobacteraceae families. Functional (culture-based) and metagenome (sequence-based) analyses showed that bacteria involved in immobilization of heavy metals, rather than those engaged in mobilization, were the main driving force within the analyzed communities. In turn, a comparison of functional genes revealed that the biofilm formation and heavy metal resistance (HMR) functions are more desirable in microorganisms engaged in water purification than the ability to utilize heavy metals in the respiratory process (oxidation-reduction). These findings provide insight on the activity of bacteria leading, from biofilm formation to self-purification, of mine waters contaminated with heavy metals.
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.