Article in Applied and environmental microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
0numbers the graph read from it
0cells of the map it votes in
1citing 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.
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
10 authors.
Meixue Zhu *MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Yuying Li *MOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Fang NanMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Jia WangMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Benfeng GaoMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Huihui SongMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Zeran BianMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Xuejie WangMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.
Yuxiang ZhuMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.ORCID 0000-0003-3938-4235
Yan WangMOE Key Laboratory of Evolution and Marine Biodiversity, College of Marine Life Sciences, Ocean University of China, Qingdao, China.ORCID 0000-0003-4632-5786
Funding
China Postdoctoral Science Foundation 2024M763099Fundamental Research Funds for the Central Universities 202442001Fundamental Research Funds for the Central Universities 202461033National Key Research and Development Program of China 2024YFC2816000National Natural Science Foundation of China 324B2002National Natural Science Foundation of China 42176108, 32370030Natural Science Foundation of Shandong Province ZR2024JQ035Science & Technology Innovation Project of Laoshan Laboratory LSKJ202203205Young Taishan Scholars Program of Shandong Province tsqn202103029
6 · The paper itself
Abstract
Bacterial-fungal interactions (BFI) are critical drivers of ecosystem functions, and their molecular mechanisms remain incompletely understood. Chemical signals are crucial mediators of microbial communication, but the signaling mechanisms of terpene compounds secreted by fungi are not fully elucidated. In this study, the environmental bacterium IMPORTANCE: The complex interactions between bacteria and fungi play a crucial role in maintaining ecosystem balance and biodiversity. This study elucidates the molecular mechanism by which α-terpinene, as a fungal-derived signaling molecule, regulates biofilm formation and antifungal activity in
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.