Evidence map›Paper›PMID 39852519›Full record

ArticleMarine drugs2024

Deep-Sea Ecosystems as an Unexpected Source of Antibiotic Resistance Genes.

Wei Zhang, Yingdong Li, Yunmeng Chu, Hao Liu, Hongmei Jing, Qianfeng Xia

Abstract read
In one paragraph

Article in Marine drugs, 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. Review
  2. Review
  3. Review
  4. Review
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

6 authors.

Wei ZhangNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou 571199, China.
Yingdong LiInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China.
Yunmeng ChuInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China.
Hao LiuInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China.
Hongmei JingInstitute of Deep-Sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China.
Qianfeng XiaNHC Key Laboratory of Tropical Disease Control, School of Tropical Medicine, Hainan Medical University, Haikou 571199, China.

Funding

the innovational Found for the scientific and technological personnel of Hainan Province KJRC2023C37the International Partnership Program of Chinese Academy of Sciences for Big Science 183446KYSB20210002the National Key R&D Program of China 2022YFC2805400the National Key R&D Program of China 2022YFC2805505
6 · The paper itself

Abstract

The deep-sea ecosystem, a less-contaminated reservoir of antibiotic resistance genes (ARGs), has evolved antibiotic resistance for microbes to survive and utilize scarce resources. Research on the diversity and distribution of these genes in deep-sea environments is limited. Our metagenomics study employed short-read-based (SRB) and assembled-contig-based (ACB) methods to identify ARGs in deep-sea waters and sediments and assess their potential pathogenicity. SRB prediction was found to be more effective for studying the abundance and diversity of these genes, while combining both methods better illustrated the relationship of ARGs with the hosts. Deep-sea waters (DSW) and trenches had the highest diversity of ARGs, including β-lactams, multidrug resistance genes, and rifamycins. Mobile genetic elements, such as IncQ and RP4 plasmids, were also identified. The ratio of nonsynonymous to synonymous substitutions (pN/pS) values of these genes suggest different evolutionary strategies in response to deep-sea conditions and possible human impacts. These resistome profiles provide valuable insights into their natural origins as well as the ecological and evolutionary implications of antibiotic resistance in deep-sea ecosystems. The exploration of the global distribution of ARGs in diverse deep-sea environments is a novel approach that will assist in understanding their potential reservoirs and evolutionary mechanisms. Therefore, employing a comprehensive approach to studying ARGs is particularly necessary. Unique microbial life in deep-sea ecosystems, especially in deep-sea cold seeps sediments (DSCSS), deep-sea waters (DSW), and trench waters (TW), could be a valuable source of new antibiotics and resistance discovery.

Indexed as

BacteriaDrug Resistance, BacterialDrug Resistance, MicrobialEcosystemGenes, BacterialSeawaterAnti-Bacterial AgentsGeologic SedimentsMetagenomicsOceans and SeasWater MicrobiologyAnti-Bacterial Agentsantibiotic resistance genesassembled contig sequencingdeep-sea ecosystemsevolutionary strategiesshort-read sequencing

Identifiers

PMID39852519
PMCPMC11766751

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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.