Evidence map›Paper›PMID 26286020›Full record

ArticleScientific reports2015

Assessing the genetic diversity of Cu resistance in mine tailings through high-throughput recovery of full-length copA genes.

Xiaofang Li, Yong-Guan Zhu, Babak Shaban, Timothy J C Bruxner, Philip L Bond, Longbin Huang

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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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

13 citing papers in PubMed.

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  11. Nonferrous metal (loid) s mediate bacterial diversity in an abandoned mine tailing impoundment.Environmental science and pollution research international · 2019
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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

6 authors.

Xiaofang LiCentre for Mined Land Rehabilitation, Sustainable Minerals Institute, The University of Queensland, QLD 4072, Australia.
Yong-Guan ZhuInstitute of Urban Environment, Chinese Academy of Sciences, Xiamen, 10081, China.
Babak ShabanAustralian Genomics Research Facility, Parkville, Melbourne 3000, Australia.
Timothy J C BruxnerInstitute for Molecular Bioscience, The University of Queensland, QLD 4072, Australia.
Philip L BondAdvanced Water Management Centre, The University of Queensland, QLD 4072, Australia.
Longbin HuangCentre for Mined Land Rehabilitation, Sustainable Minerals Institute, The University of Queensland, QLD 4072, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Characterizing the genetic diversity of microbial copper (Cu) resistance at the community level remains challenging, mainly due to the polymorphism of the core functional gene copA. In this study, a local BLASTN method using a copA database built in this study was developed to recover full-length putative copA sequences from an assembled tailings metagenome; these sequences were then screened for potentially functioning CopA using conserved metal-binding motifs, inferred by evolutionary trace analysis of CopA sequences from known Cu resistant microorganisms. In total, 99 putative copA sequences were recovered from the tailings metagenome, out of which 70 were found with high potential to be functioning in Cu resistance. Phylogenetic analysis of selected copA sequences detected in the tailings metagenome showed that topology of the copA phylogeny is largely congruent with that of the 16S-based phylogeny of the tailings microbial community obtained in our previous study, indicating that the development of copA diversity in the tailings might be mainly through vertical descent with few lateral gene transfer events. The method established here can be used to explore copA (and potentially other metal resistance genes) diversity in any metagenome and has the potential to exhaust the full-length gene sequences for downstream analyses.

Indexed as

Genes, BacterialGenetic VariationIndustrial WasteMiningAdenosine TriphosphatasesBiological EvolutionCation Transport ProteinsCopperCopper-Transporting ATPasesMetagenomePhylogenyAdenosine TriphosphatasesCation Transport ProteinsCopperCopper-Transporting ATPasesIndustrial Waste

Identifiers

PMID26286020
PMCPMC4541151

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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.