Evidence map›Paper›PMID 34508122›Full record

ArticleScientific reports2021

Dynamics of the fecal microbiome and antimicrobial resistome in commercial piglets during the weaning period.

Prapat Suriyaphol, Jimmy Ka Ho Chiu, Nathamon Yimpring, Paiboon Tunsagool, Wuttichai Mhuantong, Rungtip Chuanchuen, Irina Bessarab, Rohan B H Williams, Rick Twee-Hee Ong, Gunnaporn Suriyaphol

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

9 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
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  3. Microorganisms · 2026
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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

10 authors at 7 institutions in 2 countries.

Prapat Suriyaphol *Office for Research and Development, Faculty of Medicine, Siriraj Hospital, Mahidol University, Bangkok, 10700, Thailand.
Jimmy Ka Ho Chiu *Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore.
Nathamon YimpringBiochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, 39, Henri Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand.
Paiboon TunsagoolDepartment of Biotechnology, Faculty of Agro-Industry, Kasetsart University, Bangkok, 10900, Thailand.
Wuttichai MhuantongBiorefinery and Bioproduct Technology Research Group, National Center for Genetic Engineering and Biotechnology, National Science and Technology Development Agency, Pathum Thani, 12120, Thailand.
Rungtip ChuanchuenResearch Unit in Microbial Food Safety and Antimicrobial Resistance, Department of Veterinary Public Health, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, 10330, Thailand.
Irina BessarabSingapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore, 639798, Singapore.
Rohan B H WilliamsSingapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore, 639798, Singapore.
Rick Twee-Hee OngSaw Swee Hock School of Public Health, National University of Singapore and National University Health System, Tahir Foundation Building National University of Singapore, 12 Science Drive 2, #10-01, Singapore, 117549, Singapore. ephoth@nus.edu.sg.
Gunnaporn SuriyapholBiochemistry Unit, Department of Physiology, Faculty of Veterinary Science, Chulalongkorn University, 39, Henri Dunant Road, Wangmai, Pathumwan, Bangkok, 10330, Thailand. Gunnaporn.V@chula.ac.th.
Chulalongkorn University · THNational University Health System · SGKasetsart University · THMahidol University · THNanyang Technological University · SGNational Science and Technology Development Agency · THSingapore Centre for Environmental Life Sciences Engineering · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to characterize the alteration of the fecal microbiome and antimicrobial resistance (AMR) determinants in 24 piglets at day 3 pre-weaning (D. - 3), weaning day (D.0), days 3 (D.3) and 8 post-weaning (D.8), using whole-genome shotgun sequencing. Distinct clusters of microbiomes and AMR determinants were observed at D.8 when Prevotella (20.9%) was the major genus, whereas at D. - 3-D.3, Alistipes (6.9-12.7%) and Bacteroides (5.2-8.5%) were the major genera. Lactobacillus and Escherichia were notably observed at D. - 3 (1.2%) and D. - 3-D.3 (0.2-0.4%), respectively. For AMR, a distinct cluster of AMR determinants was observed at D.8, mainly conferring resistance to macrolide-lincosamide-streptogramin (mefA), β-lactam (cfxA6 and aci1) and phenicol (rlmN). In contrast, at D. - 3-D.3, a high abundance of determinants with aminoglycoside (AMG) (sat, aac(6')-aph(2''), aadA and acrF), β-lactam (fus-1, cepA and mrdA), multidrug resistance (MDR) (gadW, mdtE, emrA, evgS, tolC and mdtB), phenicol (catB4 and cmlA4), and sulfonamide patterns (sul3) was observed. Canonical correlation analysis (CCA) plot associated Escherichia coli with aac(6')-aph(2''), emrA, mdtB, catB4 and cmlA4 at D. - 3, D.0 and/or D.3 whereas at D.8 associations between Prevotella and mefA, cfxA6 and aci1 were identified. The weaning age and diet factor played an important role in the microbial community composition.

Indexed as

WeaningAge FactorsAnimalsAnti-Bacterial AgentsBiodiversityFecesMetagenomeMetagenomicsMicrobiotaSwineAnti-Bacterial Agents

Identifiers

PMID34508122
PMCPMC8433359
OpenAlexW3197354883

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.