Evidence map›Paper›PMID 32149573›Full record

ArticleBioengineered2020

Metagenomics for taxonomy profiling: tools and approaches.

Mukesh Kumar Awasthi, B Ravindran, Surendra Sarsaiya, Hongyu Chen, Steven Wainaina, Ekta Singh, Tao Liu, Sunil Kumar, Ashok Pandey, Lal Singh and 1 more

RetractedAbstract readRetracted Publication
In one paragraph

Article in Bioengineered, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
–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

30 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Regulatory Small RNAs for a Sustained Eco-Agriculture.International journal of molecular sciences · 2023
    Review
  8. Effect of endophytic diazotrophFrontiers in microbiology · 2023
    Article
  9. Review
  10. Article
  11. Article
  12. Exploring the taxonomic and functional diversity of marineSaudi journal of biological sciences · 2022
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Review
  20. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Mukesh Kumar AwasthiCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province, China.ORCID 0000-0003-0879-184X
B RavindranDepartment of Environmental Energy and Engineering, Kyonggi University Youngtong-Gu, Suwon, South Korea.
Surendra SarsaiyaKey Laboratory of Basic Pharmacology of Ministry of Education, Zunyi Medical University, Zunyi, Guizhou, China.
Hongyu ChenInstitute of Biology, Freie Universität Berlin Altensteinstr, Berlin, Germany.
Steven WainainaSwedish Centre for Resource Recovery, University of Borås, Borås, Sweden.ORCID 0000-0003-4709-5126
Ekta SinghCSIR-National Environmental Engineering Research Institute, Nagpur, India.
Tao LiuCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province, China.
Sunil KumarCSIR-National Environmental Engineering Research Institute, Nagpur, India.
Ashok PandeyCentre for Innovation and Translational Research CSIR-Indian Institute of Toxicology Research, Lucknow, India.
Lal SinghCSIR-National Environmental Engineering Research Institute, Nagpur, India.
Zengqiang ZhangCollege of Natural Resources and Environment, Northwest A&F University, Yangling, Shaanxi Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of metagenomics is an emerging field that identifies the total genetic materials in an organism along with the set of all genetic materials like deoxyribonucleic acid and ribose nucleic acid, which play a key role with the maintenance of cellular functions. The best part of this technology is that it gives more flexibility to environmental microbiologists to instantly pioneer the immense genetic variability of microbial communities. However, it is intensively complex to identify the suitable sequencing measures of any specific gene that can exclusively indicate the involvement of microbial metagenomes and be able to advance valuable results about these communities. This review provides an overview of the metagenomic advancement that has been advantageous for aggregation of more knowledge about specific genes, microbial communities and its metabolic pathways. More specific drawbacks of metagenomes technology mainly depend on sequence-based analysis. Therefore, this 'targeted based metagenomics' approach will give comprehensive knowledge about the ecological, evolutionary and functional sequence of significantly important genes that naturally exist in living beings either human, animal and microorganisms from distinctive ecosystems.

Indexed as

DNAHumansMetagenomicsNucleic AcidsDNANucleic Acidsdeoxyribonucleic acidgenomicsmetagenomicsmicrobial metagenomesribose nucleic acid

Identifiers

PMID32149573
PMCPMC7161568

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.