Evidence map›Paper›PMID 42443210›Full record

ArticleNature communications2026

Divergent mechanisms of active antibiotic resistance gene enrichment in soil driven by pesticide diversity.

Yi-Fei Wang, Jia-Yang Xu, Yanjie Liu, Bang Ni, Tian-Lun Zhang, Hui-Ling Cui, Feng-Yuan Qi, Min Qiao, Hong-Zhe Li, Michael R Gillings and 2 more

Abstract read
In one paragraph

Article in Nature communications, 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

12 authors.

Yi-Fei Wang *State Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Jia-Yang Xu *State Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Yanjie LiuKey Laboratory of Wetland Ecology and Environment, State Key Laboratory of Black Soils Conservation and Utilization, Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun, China.ORCID http://orcid.org/0000-0003-3948-1246
Bang NiState Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Tian-Lun ZhangState Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.
Hui-Ling CuiState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.
Feng-Yuan QiUniversity of Chinese Academy of Sciences, Beijing, China.
Min QiaoState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-4176-4248
Hong-Zhe LiState Key Laboratory of Regional and Urban Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, China. hzli@rcees.ac.cn.
Michael R GillingsDepartment of Biological Sciences, Macquarie University, Sydney, NSW, Australia.ORCID http://orcid.org/0000-0002-4043-4351
Yong-Guan ZhuState Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China.ORCID http://orcid.org/0000-0003-3861-8482
Dong ZhuState Key Laboratory of Regional and Urban Ecology, Ningbo Observation and Research Station, Institute of Urban Environment, Chinese Academy of Sciences, Xiamen, China. dzhu@iue.ac.cn.ORCID http://orcid.org/0000-0002-0826-6423

Funding

National Natural Science Foundation of China (National Science Foundation of China) 22193062
6 · The paper itself

Abstract

Antimicrobial resistance is an escalating global threat, with soils serving as reservoirs and conduits for the dissemination of antibiotic resistance genes (ARGs). Pesticide use in agriculture contributes to ARG proliferation, and ~60% of agricultural soils contain multiple pesticide residues. However, how pesticide diversity influences ARG dynamics in active microbial populations (active ARGs) remains unclear. Here, we evaluate the effects of pesticide diversity on active soil ARGs through a long-term field experiment integrating bioorthogonal non-canonical amino acid tagging (BONCAT), fluorescence-activated cell sorting (FACS), and metagenomics. We show that both low and high pesticide diversity significantly increase active ARG abundance relative to untreated control, whereas total ARG levels remain largely unchanged. The underlying mechanisms differ with pesticide diversity. At low diversity, active ARG co-selection via efflux pumps in Acinetobacter baumannii is a prominent mechanism. At high diversity, elevated reactive oxygen species and SOS responses promote horizontal gene transfer of active ARGs, as validated by culture experiments. These findings demonstrate that increasing pesticide diversity accelerates the emergence and dissemination of active ARGs, highlighting the need for integrated pesticide management strategies that consider both application intensity and diversity to mitigate resistance risks under the One Health framework.

Indexed as

Drug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialPesticidesSoilSoil MicrobiologyAcinetobacter baumanniiAnti-Bacterial AgentsBacteriaGene Transfer, HorizontalMetagenomicsReactive Oxygen SpeciesAnti-Bacterial AgentsPesticidesReactive Oxygen SpeciesSoil

Identifiers

PMID42443210
PMCPMC13486785

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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.