Evidence map›Paper›PMID 42891330›Full record

ArticleiMetaOmics2026

Resistome flow in global landfill systems.

Wenqing Hong, Rui Zhang, Xiaoxing Lin, Yangqing Wang, Shu Yang, Farees Ud Din Mufti, Yuping Yao, Guowei Zhou, Chuanwu Xi, Weixi Shu and 3 more

Abstract read
In one paragraph

Article in iMetaOmics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

13 authors.

Wenqing HongSchool of Resources and Environmental Engineering Anhui University Hefei China.ORCID https://orcid.org/0009-0005-5692-9526
Rui ZhangSchool of Resources and Environmental Engineering Anhui University Hefei China.
Xiaoxing LinSchool of Engineering Westlake University Hangzhou China.
Yangqing WangChongqing Institute of Green and Intelligent Technology Chinese Academy of Science Chongqing China.
Shu YangInstitute of Public Health Sciences, Division of Life Science and Medicine University of Science and Technology of China Hefei China.
Farees Ud Din MuftiSchool of Resources and Environmental Engineering Anhui University Hefei China.
Yuping YaoSchool of Resources and Environmental Engineering Anhui University Hefei China.
Guowei ZhouSchool of Resources and Environmental Engineering Anhui University Hefei China.
Chuanwu XiDepartment of Environmental Health Sciences University of Michigan Ann Arbor Michigan USA.
Weixi ShuDepartment of Engineering Dalhousie University Halifax Nova Scotia Canada.ORCID https://orcid.org/0000-0001-7615-4944
Gordon PriceDepartment of Engineering Dalhousie University Halifax Nova Scotia Canada.
Youcai ZhaoThe State Key Laboratory of Pollution Control and Resource Reuse, School of Environmental Science and Engineering Tongji University Shanghai China.
Liyan SongSchool of Resources and Environmental Engineering Anhui University Hefei China.ORCID https://orcid.org/0000-0002-6037-5838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance genes (ARGs) represent a critical global public health threat. Effective resistome management within the One Health framework requires a comprehensive understanding of the sources and movement of ARGs across environmental media. This study provides a detailed analysis of resistome characteristics and dynamics in global landfill systems. Landfill systems were found to harbor diverse and highly mobile ARGs, with multidrug-resistant genes (MDRGs) comprising 32.63% of total ARGs, and comparable or even higher levels of associated ARG subtypes than in other environmental media, such as acidic mine wastewater. The ARG density on plasmids was 3.5 times higher than that on chromosomal sequences, with five times more abundant ARG-carrying plasmid-associated contigs in landfill systems than that in wastewater. At the metagenome-assembled genome level, members of the phylum Pseudomonadota were identified as the most abundant hosts (29.72%), harboring 47.74% and 56.47% of the total ARGs and MDRGs, respectively. Genomic analysis of 35

Indexed as

landfill systemsmultidrug resistant genesOne Healthpathogensresistomeresistome flow

Identifiers

PMID42891330
PMCPMC13674416

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.