Evidence map›Paper›PMID 36422370›Full record

ArticleMicroorganisms2022

Distribution Patterns of Antibiotic Resistance Genes and Their Bacterial Hosts in a Manure Lagoon of a Large-Scale Swine Finishing Facility.

Shahjahon Begmatov, Alexey V Beletsky, Eugeny V Gruzdev, Andrey V Mardanov, Lubov B Glukhova, Olga V Karnachuk, Nikolai V Ravin

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 28% of its field
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

4 citing papers in PubMed, 20 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Shahjahon BegmatovInstitute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0002-3967-9247
Alexey V BeletskyInstitute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia.
Eugeny V GruzdevInstitute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia.
Andrey V MardanovInstitute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0002-8245-8757
Lubov B GlukhovaLaboratory of Biochemistry and Molecular Biology, Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0001-8933-1145
Olga V KarnachukLaboratory of Biochemistry and Molecular Biology, Tomsk State University, 634050 Tomsk, Russia.ORCID 0000-0002-1318-2224
Nikolai V RavinInstitute of Bioengineering, Research Center of Biotechnology of the Russian Academy of Sciences, 119071 Moscow, Russia.ORCID 0000-0002-1456-1832
Russian Academy of Sciences · RUNational Research Tomsk State University · RU

Funding

Ministry of Science and Higher Education of the Russian Federation 075-15-2021-1401
6 · The paper itself

Abstract

The spread of antibiotic resistance genes (ARGs) that are present in livestock manures, which are discharged into the environment, is a severe threat to human and animal health. Here, we used 16S rRNA gene profiling and metagenomic analysis to characterize microbial community composition and antibiotic resistance in a manure storage lagoon from a large-scale swine finishing facility. Manure samples were collected at intervals of two years. Both the prokaryotic community and the resistome were dominated by the

Indexed as

Alcaligenaceaeantibiotic resistance genesEscherichia flexnerimetagenomemicrobiomeswine manure

Identifiers

PMID36422370
PMCPMC9692488
OpenAlexW4309737933

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.