Evidence map›Paper›PMID 42294728›Full record

ArticleMicrobiology spectrum2026

Biofilm-forming traits enrich the plasmid diversity and functional potential in particle-attached bacteria in coastal ecosystems.

Zhendu Mao, Mengying Jiang, Zifan Zhao, Shumin Xu, Heng Wang, Kelin Chen, Jianglang Duan, Zhuo Chen, Dan He, Peng Xing and 1 more

Abstract read
In one paragraph

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

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Zhendu MaoCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0002-7427-9636
Mengying JiangCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Zifan ZhaoCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Shumin XuCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Heng WangCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Kelin ChenCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Jianglang DuanCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Zhuo ChenCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Dan HeCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.
Peng XingKey Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, China.ORCID 0000-0002-4917-5181
Qinglong L WuCenter for Evolution and Conservation Biology, Southern Marine Sciences and Engineering Guangdong Laboratory (Guangzhou), Guangzhou, China.ORCID 0000-0003-1636-4928

Funding

Project of National Key Basic Research and Development 2023YFF1304501Project of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) GML20220017
6 · The paper itself

Abstract

Planktonic microorganisms play a central role in aquatic biogeochemical processes and are commonly divided into particle-attached (PA) and free-living (FL) fractions. Although these two lifestyles differ in ecological strategy, the contribution of plasmids to their niche differentiation remains poorly resolved. Here, we conducted a plasmid-centric metagenomic analysis of two anthropogenically impacted coastal ecosystems in South China, the Pearl River Estuary (PRE), and Daya Bay (DYB), to determine the environmental and biological drivers of plasmid diversity, and their functional potenitial. We found that plasmid diversity was jointly shaped by different fractions and environmental stressors. The PA fraction contained significantly higher plasmid abundance and richness than the FL fraction, and was enriched in multifunctional and conjugative plasmids. These plasmids were associated with genes adapting to the PA lifestyle or microenvironments, suggesting linkage between particle attachment and plasmid maintenance. Structural equation modeling indicated that different fractions shaped plasmid diversity primarily through biofilm-forming genes. Along an anthropogenic gradient from DYB to PRE, increasing pollution levels were accompanied by higher plasmid diversity and greater abundances of antibiotic and metal resistance genes. Plasmid diversity was strongly correlated with resistance gene abundance. The enrichment of transferable plasmids in the PA fraction, where cell densities are high and intercellular distances are close, suggested that particle-associated habitats favor genetic exchange and the persistence of resistance traits. Together, these results demonstrate that particle-associated microbial communities represent key reservoirs of plasmid diversity and resistance potential in coastal ecosystems and highlight the combined influence of lifestyles and anthropogenic stress on plasmid-mediated microbial adaptation. IMPORTANCE: Plasmids play an important role in microbial adaptation by mediating horizontal gene transfer, yet the ecological contexts that favor their persistence and diversification in natural environments remain poorly understood. This study showed that particle-attached microbial communities in coastal waters harbored substantially higher plasmid diversity and resistance potential than free-living communities, and that this enrichment is strongly linked to biofilm-associated traits. By demonstrating how particulate habitats and pollution gradients jointly shape plasmid diversity and resistance gene abundance, our findings identify particle-associated microenvironments as critical reservoirs for plasmid-mediated functions in coastal ecosystems. These results advance understanding of how microbial lifestyle and human activities influence microbial evolution and the environmental dissemination of resistance traits.

Indexed as

BacteriaBiofilmsPlasmidsSeawaterChinaEcosystembiofilm-forming traitscoastal ecosystemsfree-livingparticle-attachedplasmidomeresistome

Identifiers

PMID42294728
PMCPMC13340213

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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.