Evidence map›Paper›PMID 35922873›Full record

ArticleMicrobiome2022

The impacts of viral infection and subsequent antimicrobials on the microbiome-resistome of growing pigs.

Tara N Gaire, Carissa Odland, Bingzhou Zhang, Tui Ray, Enrique Doster, Joel Nerem, Scott Dee, Peter Davies, Noelle Noyes

Open access · goldAbstract readVideo-Audio Media
In one paragraph

Article in Microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

12 citing papers in PubMed, 36 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

9 authors at 3 institutions in 2 countries.

Tara N GaireDepartment of Veterinary Population Medicine (VPM), College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA.
Carissa OdlandPipestone Veterinary Services, Pipestone, Minnesota, USA.
Bingzhou ZhangState Key Laboratory of Agricultural Microbiology, College of Animal Sciences and Veterinary Medicine, Huazhong Agricultural University, Wuhan, 430070, China.
Tui RayDepartment of Veterinary Population Medicine (VPM), College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA.
Enrique DosterDepartment of Veterinary Population Medicine (VPM), College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA.
Joel NeremPipestone Applied Research, Pipestone, Minnesota, USA.
Scott DeePipestone Applied Research, Pipestone, Minnesota, USA.
Peter DaviesDepartment of Veterinary Population Medicine (VPM), College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA.
Noelle NoyesDepartment of Veterinary Population Medicine (VPM), College of Veterinary Medicine, University of Minnesota, Saint Paul, Minnesota, USA. nnoyes@umn.edu.
University of Minnesota · USPipestone (United States) · USHuazhong Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobials are used in food-producing animals for purposes of preventing, controlling, and/or treating infections. In swine, a major driver of antimicrobial use is porcine reproductive and respiratory syndrome (PRRS), which is caused by a virus that predisposes infected animals to secondary bacterial infections. Numerous antimicrobial protocols are used to treat PRRS, but we have little insight into how these treatment schemes impact antimicrobial resistance (AMR) dynamics within the fecal microbiome of commercial swine. The aim of this study was to determine whether different PRRS-relevant antimicrobial treatment protocols were associated with differences in the fecal microbiome and resistome of growing pigs. To accomplish this, we used a metagenomics approach to characterize and compare the longitudinal wean-to-market resistome and microbiome of pigs challenged with PRRS virus and then exposed to different antimicrobial treatments, and a group of control pigs not challenged with PRRS virus and having minimal antimicrobial exposure. Genomic DNA was extracted from pen-level composite fecal samples from each treatment group and subjected to metagenomic sequencing and microbiome-resistome bioinformatic and statistical analysis. Microbiome-resistome profiles were compared over time and between treatment groups.

resultsFecal microbiome and resistome compositions both changed significantly over time, with a dramatic and stereotypic shift between weaning and 9 days post-weaning (dpw). Antimicrobial resistance gene (ARG) richness and diversity were significantly higher at earlier time points, while microbiome richness and diversity were significantly lower. The post-weaning shift was characterized by transition from a Bacteroides-dominated enterotype to Lactobacillus- and Streptococcus-dominated enterotypes. Both the microbiome and resistome stabilized by 44 dpw, at which point the trajectory of microbiome-resistome maturation began to diverge slightly between the treatment groups, potentially due to physical clustering of the pigs. Challenge with PRRS virus seemed to correspond to the re-appearance of many very rare and low-abundance ARGs within the feces of challenged pigs. Despite very different antimicrobial exposures after challenge with PRRS virus, resistome composition remained largely similar between the treatment groups. Differences in ARG abundance between the groups were mostly driven by temporal changes in abundance that occurred prior to antimicrobial exposures, with the exception of ermG, which increased in the feces of treated pigs, and was significantly more abundant in the feces of these pigs compared to the pigs that did not receive post-PRRS antimicrobials.

conclusionsThe fecal microbiome-resistome of growing pigs exhibited a stereotypic trajectory driven largely by weaning and physiologic aging of the pigs. Events such as viral illness, antimicrobial exposures, and physical grouping of the pigs exerted significant yet relatively minor influence over this trajectory. Therefore, the AMR profile of market-age pigs is the culmination of the life history of the individual pigs and the populations to which they belong. Disease status alone may be a significant driver of AMR in market-age pigs, and understanding the interaction between disease processes and antimicrobial exposures on the swine microbiome-resistome is crucial to developing effective, robust, and reproducible interventions to control AMR. Video Abstract.

Indexed as

Anti-Infective AgentsCoinfectionMicrobiotaPorcine Reproductive and Respiratory SyndromePorcine respiratory and reproductive syndrome virusAnimalsAnti-Bacterial AgentsMetagenomicsSwineAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial resistanceMetagenomicsMicrobiomePorcine reproductiveRespiratory syndromeSwine

Identifiers

PMID35922873
PMCPMC9351240
OpenAlexW4289710875

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.