Evidence map›Paper›PMID 26781463›Full record

ArticleBMC genetics2016

Metagenome-scale analysis yields insights into the structure and function of microbial communities in a copper bioleaching heap.

Xian Zhang, Jiaojiao Niu, Yili Liang, Xueduan Liu, Huaqun Yin

Abstract read
In one paragraph

Article in BMC genetics, 2016. 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
–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

25 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Functional Diversity of Microbial Communities in the Soybean (International journal of molecular sciences · 2022
    Article
  5. Review
  6. Diversity of microbial community and its metabolic potential for nitrogen and sulfur cycling in sediments of Phu Quoc island, Gulf of Thailand.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2021
    Article
  7. Article
  8. Article
  9. Review
  10. Rhizosphere Metagenomics ofMicroorganisms · 2019
    Article
  11. Article
  12. Article
  13. Effect of COFrontiers in microbiology · 2019
    Article
  14. Article
  15. Article
  16. Frontiers in microbiology · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. 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

5 authors.

Xian ZhangSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. zixuange2010@126.com.
Jiaojiao NiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. 135611006@csu.edu.cn.
Yili LiangSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. liangyili@hotmail.com.
Xueduan LiuSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. xueduanliu@yahoo.com.
Huaqun YinSchool of Minerals Processing and Bioengineering, Central South University, Changsha, China. yinhuaqun@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetagenomics allows us to acquire the potential resources from both cultivatable and uncultivable microorganisms in the environment. Here, shotgun metagenome sequencing was used to investigate microbial communities from the surface layer of low grade copper tailings that were industrially bioleached at the Dexing Copper Mine, China. A bioinformatics analysis was further performed to elucidate structural and functional properties of the microbial communities in a copper bioleaching heap.

resultsTaxonomic analysis revealed unexpectedly high microbial biodiversity of this extremely acidic environment, as most sequences were phylogenetically assigned to Proteobacteria, while Euryarchaeota-related sequences occupied little proportion in this system, assuming that Archaea probably played little role in the bioleaching systems. At the genus level, the microbial community in mineral surface-layer was dominated by the sulfur- and iron-oxidizing acidophiles such as Acidithiobacillus-like populations, most of which were A. ferrivorans-like and A. ferrooxidans-like groups. In addition, Caudovirales were the dominant viral type observed in this extremely environment. Functional analysis illustrated that the principal participants related to the key metabolic pathways (carbon fixation, nitrogen metabolism, Fe(II) oxidation and sulfur metabolism) were mainly identified to be Acidithiobacillus-like, Thiobacillus-like and Leptospirillum-like microorganisms, indicating their vital roles. Also, microbial community harbored certain adaptive mechanisms (heavy metal resistance, low pH adaption, organic solvents tolerance and detoxification of hydroxyl radicals) as they performed their functions in the bioleaching system.

conclusionOur study provides several valuable datasets for understanding the microbial community composition and function in the surface-layer of copper bioleaching heap.

Indexed as

CopperMetagenomeMicrobiotaMiningBacteriaBiodiversityCarbon CycleChinaEnvironmental MicrobiologyFerrous CompoundsHydrogen-Ion ConcentrationHydroxyl RadicalIndustrial MicrobiologyNitrogenSolventsSulfurCopperFerrous CompoundsHydroxyl RadicalNitrogenSolventsSulfur

Identifiers

PMID26781463
PMCPMC4717592

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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.