Evidence map›Paper›PMID 34496835›Full record

ReviewMicrobial cell factories2021

Recent progress in the application of omics technologies in the study of bio-mining microorganisms from extreme environments.

Min Li, Jianping Wen

Abstract readReview
In one paragraph

Review in Microbial cell factories, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
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  11. Molecular Identification and Acid Stress Response of anInternational journal of molecular sciences · 2023
    Article
  12. Review
  13. Article
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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

2 authors.

Min LiKey Laboratory of Systems Bioengineering, Tianjin University, Tianjin, China.
Jianping WenKey Laboratory of Systems Bioengineering, Tianjin University, Tianjin, China. jpwen@tju.edu.cn.ORCID http://orcid.org/0000-0001-5388-5680

Funding

national key r&d program of china 2018YFA0902200
6 · The paper itself

Abstract

Bio-mining microorganisms are a key factor affecting the metal recovery rate of bio-leaching, which inevitably produces an extremely acidic environment. As a powerful tool for exploring the adaptive mechanisms of microorganisms in extreme environments, omics technologies can greatly aid our understanding of bio-mining microorganisms and their communities on the gene, mRNA, and protein levels. These omics technologies have their own advantages in exploring microbial diversity, adaptive evolution, changes in metabolic characteristics, and resistance mechanisms of single strains or their communities to extreme environments. These technologies can also be used to discover potential new genes, enzymes, metabolites, metabolic pathways, and species. In addition, integrated multi-omics analysis can link information at different biomolecular levels, thereby obtaining more accurate and complete global adaptation mechanisms of bio-mining microorganisms. This review introduces the current status and future trends in the application of omics technologies in the study of bio-mining microorganisms and their communities in extreme environments.

Indexed as

BacteriaExtreme EnvironmentsMetabolomicsProteomicsBio-mining microorganismsGenomicsMetabolomicsMetagenomicsMetaproteomicsMetatranscriptomicsOmics technologiesProteomicsTranscriptomics

Identifiers

PMID34496835
PMCPMC8425152

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.