Evidence map›Paper›PMID 38043772›Full record

ArticleEnvironmental pollution (Barking, Essex : 1987)2024

Metagenomic analysis of microbial communities and antibiotic resistant genes in the Tijuana river, and potential sources.

Shayla Shahar, Karilyn E Sant, Nicholas Allsing, Scott T Kelley

Abstract read
In one paragraph

Article in Environmental pollution (Barking, Essex : 1987), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Shayla ShaharDepartment of Biology, San Diego State University, San Diego, CA 92182, USA.
Karilyn E SantSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.
Nicholas AllsingDepartment of Biology, San Diego State University, San Diego, CA 92182, USA.
Scott T KelleyDepartment of Biology, San Diego State University, San Diego, CA 92182, USA. Electronic address: skelley@sdsu.edu.

Funding

The Research Infrastructure Core of SDSU HealthLINK Center for Transdisciplinary Health Disparities ResearchU54MD012397 · NIMHD · SAN DIEGO STATE UNIVERSITY · PI GUADALUPE X AYALA, Kristen Jennifer Wells · 2018 to 2026
$39.0M
Building Capacity and Infrastructure for Population Health and Health Disparities Research at San Diego State UniversityS21MD010690 · NIMHD · SAN DIEGO STATE UNIVERSITY · PI AYALA, GUADALUPE X, CASTILLO, JOSE E · 2016 to 2020
$10.0M
Elucidating the role of PPAR signaling in pancreatic organogenesis and juvenile metabolic syndromeK01ES031640 · NIEHS · SAN DIEGO STATE UNIVERSITY · PI SANT, KARILYN ELIZABETH · 2020 to 2022
$502k
NIEHS NIH HHS K01 ES031640NIMHD NIH HHS S21 MD010690NIMHD NIH HHS U54 MD012397
6 · The paper itself

Abstract

The Tijuana River is a transborder river that flows northwest across the border from Baja California in Mexico into Southern California before discharging into the Pacific Ocean. The river is frequently contaminated with raw sewage due to inadequate sanitary infrastructure in Tijuana. To assess the type and degree of microbial contamination, water samples were collected monthly from a near-border and an estuarine site from August 2020 until May 2021. A portion of each sample was used for epifluorescent microscopy and DNA was extracted directly from the rest for shotgun metagenomic sequencing. After sequence quality checking and processing, we used the rapid taxonomic identifier tool Kaiju to characterize the microbial diversity of the metagenomes and matched the sequences against the Comprehensive Antibiotic Resistance Database (CARD) to examine antimicrobial resistance genes (ARGs). Bacterial and viral-like particle (VLP) abundance was consistently higher in the near-border samples than in the estuarine samples, while alpha diversity (within sample biodiversity) was higher in estuarine samples. Beta-diversity analysis found clear compositional separation between samples from the two sites, and the near-border samples were more dissimilar to one another than were the estuarine sites. Near-border samples were dominated by fecal-associated bacteria and bacteria associated with sewage sludge, while estuarine sites were dominated by marine bacteria. ARGs were more abundant at the near-border site, but were also readily detectable in the estuarine samples, and the most abundant ARGs had multi-resistance to beta-lactam antibiotics. SourceTracker analysis identified human feces and sewage sludge to be the largest contributors to the near-border samples, while marine waters dominated estuarine samples except for two sewage overflow dates with high fecal contamination. Overall, our research determined human sewage microbes to be common in the Tijuana River, and the prevalence of ARGs confirms the importance of planned infrastructure treatment upgrades for environmental health.

Indexed as

MicrobiotaRiversAnti-Bacterial AgentsBacteriaGenes, BacterialHumansMetagenomeMetagenomicsMexicoSewageAnti-Bacterial AgentsSewageMetagenomicsSourceTrackerSurface waterTijuana river

Identifiers

PMID38043772
PMCPMC11160352

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Registered trials

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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.