Evidence map›Paper›PMID 36455460›Full record

ArticleWater research2023

Longitudinal metatranscriptomic sequencing of Southern California wastewater representing 16 million people from August 2020-21 reveals widespread transcription of antibiotic resistance genes.

Jason A Rothman, Andrew Saghir, Seung-Ah Chung, Nicholas Boyajian, Thao Dinh, Jinwoo Kim, Jordan Oval, Vivek Sharavanan, Courtney York, Amity G Zimmer-Faust and 4 more

Abstract read
PubMed Publisher
In one paragraph

Article in Water research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.6field-weighted citation impact, top 9% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 2 institutions in 1 country.

Jason A RothmanDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America. Electronic address: rothmanj@uci.edu.
Andrew SaghirDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Seung-Ah ChungGenomics High-Throughput Facility, Department of Biological Chemistry, University of California, Irvine, Irvine, CA, United States of America.
Nicholas BoyajianDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Thao DinhDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Jinwoo KimDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Jordan OvalDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Vivek SharavananDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Courtney YorkDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America.
Amity G Zimmer-FaustSouthern California Coastal Water Research Project, Costa Mesa, CA, United States of America.
Kylie LangloisSouthern California Coastal Water Research Project, Costa Mesa, CA, United States of America.
Joshua A SteeleSouthern California Coastal Water Research Project, Costa Mesa, CA, United States of America.
John F GriffithSouthern California Coastal Water Research Project, Costa Mesa, CA, United States of America.
Katrine L WhitesonDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA, United States of America. Electronic address: katrine@uci.edu.
University of California, Irvine · USSouthern California Coastal Water Research Project · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Municipal wastewater provides a representative sample of human fecal waste across a catchment area and contains a wide diversity of microbes. Sequencing wastewater samples provides information about human-associated and medically important microbial populations, and may be useful to assay disease prevalence and antimicrobial resistance (AMR). Here, we present a study in which we used untargeted metatranscriptomic sequencing on RNA extracted from 275 sewage influent samples obtained from eight wastewater treatment plants (WTPs) representing approximately 16 million people in Southern California between August 2020 - August 2021. We characterized bacterial and viral transcripts, assessed metabolic pathway activity, and identified over 2,000 AMR genes/variants across all samples. Because we did not deplete ribosomal RNA, we have a unique window into AMR carried as ribosomal mutants. We show that AMR diversity varied between WTPs (as measured through PERMANOVA, P < 0.001) and that the relative abundance of many individual AMR genes/variants increased over time (as measured with MaAsLin2, P

Indexed as

Anti-Bacterial AgentsWastewaterBacteriaDrug Resistance, MicrobialGenes, BacterialHumansRNASewageAnti-Bacterial AgentsRNASewageWastewaterAntimicrobial resistanceEnvironmental microbiologyMetatranscriptomicsMicrobial ecologyWastewater

Identifiers

PMID36455460
OpenAlexW4309899887

What OpenQuestion holds

Textmetadata
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.