Evidence map›Paper›PMID 39624158›Full record

ArticleOne health (Amsterdam, Netherlands)2024

The gut microbiome and resistome of yellow perch (

Omar Jimenez-Lopez, Tui Ray, Christopher Dean, Ilya Slizovskiy, Jessica Deere, Tiffany Wolf, Seth Moore, Alexander Primus, Jennifer Høy-Petersen, Silje Finstad and 3 more

Abstract read
In one paragraph

Article in One health (Amsterdam, Netherlands), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

13 authors.

Omar Jimenez-LopezDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.
Tui RayShriners Children's Genomics Institute, FL, USA.
Christopher DeanDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.
Ilya SlizovskiyDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, Purdue University, West Lafayette, IN, USA.
Jessica DeereDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.
Tiffany WolfDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.
Seth MooreGrand Portage Band of Lake Superior Chippewa, MN, USA.
Alexander PrimusDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.
Jennifer Høy-PetersenDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Silje FinstadDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Jakob MoDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Henning SørumDepartment of Paraclinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.
Noelle NoyesDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anthropogenic activities can significantly impact wildlife in natural water bodies, affecting not only the host's physiology but also its microbiome. This study aimed to analyze the gut microbiome and antimicrobial resistance gene profile (i.e., the resistome) of yellow perch living in lakes subjected to different levels of anthropogenic pressure: wastewater effluent-impacted lakes and undeveloped lakes. Total DNA and RNA from gut content samples were extracted and sequenced for analysis. Results indicate that the gut resistome and microbiome of yellow perch differ between lakes, perhaps due to varying anthropogenic pressure. The resistome was predominated by macrolide resistance genes, particularly the MLS23S group, making up 53 % of resistome sequences from effluent-impacted lakes and 73 % from undeveloped lakes. The colistin resistance gene group (

Indexed as

Anthropogenic pressureAntimicrobial resistanceMetagenomicsTranscriptomicsYellow perch

Identifiers

PMID39624158
PMCPMC11609670

What OpenQuestion holds

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LicenceCC BY-NC
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.