Evidence map›Paper›PMID 30854582›Full record

ArticleMicrobial ecology2019

Comparative Analyses of the Microbial Communities Inhabiting Coal Mining Waste Dump and an Adjacent Acid Mine Drainage Creek.

Weimin Sun, Enzong Xiao, Valdis Krumins, Yiran Dong, Baoqin Li, Jie Deng, Qi Wang, Tangfu Xiao, Jie Liu

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Microbial ecology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Weimin SunGuangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, 808 Tianyuan Road, Guangzhou, 510650, China. wmsun@soil.gd.cn.ORCID http://orcid.org/0000-0002-3456-8177
Enzong XiaoKey Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.
Valdis KruminsDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, 08901, USA.
Yiran DongInstitute for Genomic Biology, University of Illinois, Urbana-Champaign, Urbana, IL, 61801, USA.
Baoqin LiGuangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, 808 Tianyuan Road, Guangzhou, 510650, China.
Jie DengShanghai Key Lab for Urban Ecological Processes and Eco-Restorations, School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Qi WangGuangdong Key Laboratory of Integrated Agro-environmental Pollution Control and Management, Guangdong Institute of Eco-environmental Science & Technology, 808 Tianyuan Road, Guangzhou, 510650, China.
Tangfu XiaoKey Laboratory for Water Quality and Conservation of the Pearl River Delta, Ministry of Education, School of Environmental Science and Engineering, Guangzhou University, Guangzhou, 510006, China.
Jie LiuDepartment of Environmental Sciences, Rutgers University, New Brunswick, NJ, 08901, USA.

Funding

National Natural Science Foundation of China 41420104007National Natural Science Foundation of China 41771301
6 · The paper itself

Abstract

Microbial communities inhabiting the acid mine drainage (AMD) have been extensively studied, but the microbial communities in the coal mining waste dump that may generate the AMD are still relatively under-explored. In this study, we characterized the microbial communities within these under-explored extreme habitats and compared with those in the downstream AMD creek. In addition, the interplay between the microbiota and the environmental parameters was statistically investigated. A Random Forest ensemble model indicated that pH was the most important environmental parameter influencing microbial community and diversity. Parameters associated with nitrogen cycling were also critical factors, with positive effects on microbial diversity, while S-related parameters had negative effects. The microbial community analysis also indicated that the microbial assemblage was driven by pH. Various taxa were enriched in different pH ranges: Sulfobacillus was the indicator genus in samples with pH < 3 while Acidobacteriaceae-affiliated bacteria prevailed in samples with 3 < pH < 3.5. The detection of some lineages that are seldom reported in mining areas suggested the coal mining dumps may be a reservoir of phylogenetic novelty. For example, potential nitrogen fixers, autotrophs, and heterotrophs may form diverse communities that actively self-perpetuate pyrite dissolution and acidic waste generation, suggesting unique ecological strategies adopted by these innate microorganisms. In addition, co-occurrence network analyses suggest that members of Acidimicrobiales play important roles in interactions with other taxa, especially Fe- and S-oxidizing bacteria such as Sulfobacillus spp.

Indexed as

MicrobiotaAcidsBacteriaCoal MiningGeologic SedimentsHydrogen-Ion ConcentrationIronNitrogenPhylogenySulfidesWaste Disposal FacilitiesWastewaterAcidsIronNitrogenpyriteSulfidesWastewaterAcidimicrobialesAcid mine drainageEcological strategiesIndicator species analysisRandom Forest

Identifiers

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Registered trials

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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.