Evidence map›Paper›PMID 27698381›Full record

ArticleScientific reports2016

The shift of microbial communities and their roles in sulfur and iron cycling in a copper ore bioleaching system.

Jiaojiao Niu, Jie Deng, Yunhua Xiao, Zhili He, Xian Zhang, J D Van Nostrand, Yili Liang, Ye Deng, Xueduan Liu, Huaqun Yin

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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

10 authors.

Jiaojiao NiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Jie DengInstitute for Environmental Genomics and Department of Botany and Microbiology, University of Oklahoma, Norman 73019, USA.
Yunhua XiaoSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Zhili HeInstitute for Environmental Genomics and Department of Botany and Microbiology, University of Oklahoma, Norman 73019, USA.
Xian ZhangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
J D Van NostrandInstitute for Environmental Genomics and Department of Botany and Microbiology, University of Oklahoma, Norman 73019, USA.
Yili LiangSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Ye DengResearch Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100081, China.
Xueduan LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.
Huaqun YinSchool of Minerals Processing and Bioengineering, Central South University, Changsha 410083, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioleaching has been employed commercially to recover metals from low grade ores, but the production efficiency remains to be improved due to limited understanding of the system. This study examined the shift of microbial communities and S&Fe cycling in three subsystems within a copper ore bioleaching system: leaching heap (LH), leaching solution (LS) and sediment under LS. Results showed that both LH and LS had higher relative abundance of S and Fe oxidizing bacteria, while S and Fe reducing bacteria were more abundant in the Sediment. GeoChip analysis showed a stronger functional potential for S

Indexed as

BacteriaBiodiversityCopperHumansIronMicrobial ConsortiaMiningOxidation-ReductionPhylogenyRNA, Ribosomal, 16SSulfurCopperIronRNA, Ribosomal, 16SSulfur

Identifiers

PMID27698381
PMCPMC5048113

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.