Evidence map›Paper›PMID 32517753›Full record

ArticleMicrobiome2020

Depth-related variability in viral communities in highly stratified sulfidic mine tailings.

Shao-Ming Gao, Axel Schippers, Nan Chen, Yang Yuan, Miao-Miao Zhang, Qi Li, Bin Liao, Wen-Sheng Shu, Li-Nan Huang

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.9field-weighted citation impact, top 2% of its field
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

25 citing papers in PubMed, 65 citations in OpenAlex.

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  18. Integrative Assessments on Molecular Taxonomy ofFrontiers in microbiology · 2022
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  19. Review
  20. Genomic Insights into the Ecological Role and Evolution of a NovelApplied and environmental microbiology · 2021
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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 at 3 institutions in 2 countries.

Shao-Ming GaoSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Axel SchippersResource Geochemistry, Federal Institute for Geosciences and Natural Resources (BGR), Stilleweg 2, 30655, Hannover, Germany.
Nan ChenSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Yang YuanSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Miao-Miao ZhangSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Qi LiSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Bin LiaoSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China.
Wen-Sheng ShuSchool of Life Sciences, South China Normal University, Guangzhou, 510631, People's Republic of China.
Li-Nan HuangSchool of Life Sciences, Sun Yat-sen University, Guangzhou, 510275, People's Republic of China. eseshln@mail.sysu.edu.cn.ORCID 0000-0002-4881-7920
Sun Yat-sen University · CNFederal Institute for Geosciences and Natural Resources · DESouth China Normal University · CN

Funding

National Natural Science Foundation of China 31570500National Natural Science Foundation of China 31870111National Natural Science Foundation of China 40930212
6 · The paper itself

Abstract

backgroundRecent studies have significantly expanded our knowledge of viral diversity and functions in the environment. Exploring the ecological relationships between viruses, hosts, and the environment is a crucial first step towards a deeper understanding of the complex and dynamic interplays among them.

resultsHere, we obtained extensive 16S rRNA gene amplicon, metagenomics sequencing, and geochemical datasets from different depths of two highly stratified sulfidic mine tailings cores with steep geochemical gradients especially pH, and explored how variations in viral community composition and functions were coupled to the co-existing prokaryotic assemblages and the varying environmental conditions. Our data showed that many viruses in the mine tailings represented novel genera, based on gene-sharing networks. Siphoviridae, Podoviridae, and Myoviridae dominated the classified viruses in the surface tailings and deeper layers. Both viral richness and normalized coverage increased with depth in the tailings cores and were significantly correlated with geochemical properties, for example, pH. Viral richness was also coupled to prokaryotic richness (Pearson's r = 0.65, P = 0.032). The enrichment of prophages in the surface mine tailings suggested a preference of lysogenic viral lifestyle in more acidic conditions. Community-wide comparative analyses clearly showed that viruses in the surface tailings encoded genes mostly with unknown functions while viruses in the deeper layers contained genes mainly annotated as conventional functions related to metabolism and structure. Notably, significantly abundant assimilatory sulfate reduction genes were identified from the deeper tailings layers and they were widespread in viruses predicted to infect diverse bacterial phyla.

conclusionsOverall, our results revealed a depth-related distribution of viral populations in the extreme and heterogeneous tailings system. The viruses may interact with diverse hosts and dynamic environmental conditions and likely play a role in the functioning of microbial community and modulate sulfur cycles in situ. Video Abstract.

Indexed as

AcidsMetagenomicsMiningBacteriaHydrogen-Ion ConcentrationRNA, Ribosomal, 16SSulfidesVirusesAcidsRNA, Ribosomal, 16SSulfidesAuxiliary metabolic genesDiversityFunctionsStratified mine tailingsViruses

Identifiers

PMID32517753
PMCPMC7285708
OpenAlexW3033328488

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.