ArticleApplied and environmental microbiology2026
Hijacking competitor-derived signals: RcsB/C drives
Fang Nan, Huihui Song, Min Sun, Lei Cui, Zeran Bian, Jie Yin, Zipeng Lin, Yan Wang
Abstract read
In one paragraphArticle in Applied and environmental microbiology, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
8 authors.
Fang Nan *Marine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Huihui Song *Marine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.ORCID 0000-0002-1509-966X Min SunMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Lei CuiMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Zeran BianMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Jie YinMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Zipeng LinMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Yan WangMarine Microbial Resource Center, MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.ORCID 0000-0003-4632-5786 Funding
Fundamental Research Funds for the Central Universities 202442001Fundamental Research Funds for the Central Universities 202561037National Key Research and Development Program of China 2024YFC2816000National Natural Science Foundation of China 32370030National Natural Science Foundation of China 42176108Natural Science Foundation of Shandong Province ZR2024JQ035Science & Technology Innovation Project of Laoshan Laboratory LSKJ202203205Young Taishan Scholars Program of Shandong Province tsqn202103029
6 · The paper itselfAbstract
Microbial antagonism is a fundamental ecological process that shapes community composition and maintains ecosystem balance. However, the molecular signals, such as cross-kingdom interactions between bacteria and fungi in natural environments, remain largely unexplored.
Indexed as
AntibiosisAntifungal AgentsBacterial ProteinsCandidaFarnesolLysobacterMicrobial InteractionsQuorum SensingSignal TransductionAntifungal AgentsBacterial ProteinsFarnesolbacterial-fungal interactioncross-kingdom communicationfarnesolHSAFLysobacter enzymogenestwo-component system
Identifiers
PMID41930960
PMCPMC13101495
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