Evidence map›Paper›PMID 38792738›Full record

ArticleMicroorganisms2024

Metagenomic and Culturomics Analysis of Microbial Communities within Surface Sediments and the Prevalence of Antibiotic Resistance Genes in a Pristine River: The Zaqu River in the Lancang River Source Region, China.

Yi Yan, Jialiang Xu, Wenmin Huang, Yufeng Fan, Zhenpeng Li, Mingkai Tian, Jinsheng Ma, Xin Lu, Jian Liang

Abstract read
In one paragraph

Article in Microorganisms, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. The Invisible Threat of Antibiotic Resistance in Food.Antibiotics (Basel, Switzerland) · 2025
    Review
  3. Article
  4. 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

9 authors.

Yi YanSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.ORCID 0000-0002-5200-8800
Jialiang XuSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.
Wenmin HuangSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.ORCID 0009-0007-8402-047X
Yufeng FanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Zhenpeng LiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Mingkai TianSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.
Jinsheng MaSchool of Light Industry Science and Engineering, Beijing Technology and Business University, Beijing 100048, China.
Xin LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Jian LiangState Key Laboratory of Plateau Ecology and Agriculture, Qinghai University, Xining 810016, China.ORCID 0000-0001-7500-1719

Funding

Jian Liang, Yi Yan the Open Project of the State Key Laboratory of Plateau Ecology and Agriculture (2022-KF-08)Xin Lu the major projects of the National Natural Science Foundation of China (22193064)Xin Lu the National Key Research and Development Program of China (2022YFC2303900, 2020YFE02015700)
6 · The paper itself

Abstract

Microbial communities inhabiting sedimentary environments in river source regions serve as pivotal indicators of pristine river ecosystems. While the correlation between antibiotic resistome and pathogenicity with core gut bacteria in humans is well established, there exists a significant knowledge gap concerning the interaction of antibiotic resistance genes (ARGs) and human pathogenic bacteria (HPB) with specific microbes in river source basins, often referred to as "terrestrial gut". Understanding the microbial composition, including bacteria and resident genetic elements such as ARGs, HPB, Mobile Genetic Elements (MGEs), and Virulence Factors (VFs), within natural habitats against the backdrop of global change, is imperative. To address this gap, an enrichment-based culturomics complementary along with metagenomics was conducted in this study to characterize the microbial biobank and provide preliminary ecological insights into profiling the dissemination of ARGs in the Lancang River Source Basin. Based on our findings, in the main stream of the Lancang River Source Basin, 674 strains of bacteria, comprising 540 strains under anaerobic conditions and 124 under aerobic conditions, were successfully isolated. Among these, 98 species were identified as known species, while 4 were potential novel species. Of these 98 species, 30 were HPB relevant to human health. Additionally,

Indexed as

antibiotic resistance genesARGsenrichment-based culturomicsLancang Rivermetagenomicsriver source basin

Identifiers

PMID38792738
PMCPMC11124135

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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.