Evidence map›Paper›PMID 36612923›Full record

ArticleInternational journal of environmental research and public health2022

Metagenomic Analysis of Microbial Contamination in the U.S. Portion of the Tijuana River Watershed.

Nicholas Allsing, Scott T Kelley, Alexandra N Fox, Karilyn E Sant

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
–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

7 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

4 authors.

Nicholas AllsingDepartment of Biology, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0002-1145-1646
Scott T KelleyDepartment of Biology, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0001-9547-4169
Alexandra N FoxSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.
Karilyn E SantSchool of Public Health, San Diego State University, San Diego, CA 92182, USA.ORCID 0000-0001-8565-2072

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 watershed is binational, flowing from Tijuana, Mexico into San Diego and Imperial Beach, USA. Aging sewage and stormwater infrastructure in Tijuana has not kept pace with population growth, causing overflows into this watershed during major rainfall or equipment failures. The public health consequences of this impaired watershed on the surrounding communities remain unknown. Here, we performed untargeted metagenomic sequencing to better characterize the sewage contamination in the Tijuana River, identifying potential pathogens and molecular indicators of antibiotic resistance in surface waters. In 2019-2020, water samples were collected within 48 h of major rainfall events at five transborder flow sites and at the mouth of the river in the US portion of the Tijuana River and estuary. After filtration, DNA was extracted and sequenced, and sequences were run through the Kaiju taxonomic classification program. A pathogen profile of the most abundant disease-causing microbes and viruses present in each of the samples was constructed, and specific markers of fecal contamination were identified and linked to each site. Results from diversity analysis between the sites showed clear distinction as well as similarities between sites and dates, and antibiotic-resistant genes were found at each site. This serves as a baseline characterization of microbial exposures to these local communities.

Indexed as

Environmental MonitoringRiversAnti-Bacterial AgentsBase SequenceFecesSewageWater MicrobiologyAnti-Bacterial AgentsSewageimpaired water bodiesstormwater flowsTijuana River and Estuarytransborder wateruntargeted metagenomicswater, sanitation and hygiene (WaSH)

Identifiers

PMID36612923
PMCPMC9819409

What OpenQuestion holds

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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.