Evidence map›Paper›PMID 41914849›Full record

ArticleApplied and environmental microbiology2026

Functional determinism amid taxonomic stochasticity: insights into rules governing the assembly of algal-microbial symbioses.

Tian Deng, Huan Wang, Shu-Feng Zhang, Xin-Yao Wu, Ze-Sheng Yang, Da-Zhi Wang, Yue Zheng

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2026. 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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

7 authors.

Tian DengState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Huan WangState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Shu-Feng ZhangState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Xin-Yao WuState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Ze-Sheng YangState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.
Da-Zhi WangState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.ORCID 0000-0003-3474-0595
Yue ZhengState Key Laboratory of Marine Environmental Science, College of the Environment and Ecology, Xiamen University, Xiamen, China.ORCID 0000-0001-5281-3773

Funding

Headmaster' Faculty Fund/The Fundamental Research Funds for the Central Universities 20720240092National Key Research and Development Program of China 2023YFC3108600National Natural Science Foundation of China 423B2603National Natural Science Foundation of China 42522607Natural Science Foundation of Fujian Province 2024J010010
6 · The paper itself

Abstract

Marine algal-microbial symbioses constitute essential functional units that drive ocean biogeochemical cycles and trigger harmful algal blooms. Yet, a long-standing controversy persists regarding the mechanisms of algal-microbial symbiose assembly, specifically whether phycosphere microbiota are predominantly shaped by deterministic algal-driven selection or by stochastic environmental processes, with no definitive resolution to date. Here, we examined phycosphere communities associated with a series of

Indexed as

DiatomsMicrobiotaSymbiosisSeawaterStochastic Processesalgal-microbial symbiosisdeterministic and stochastic assemblyfunctional redundancyphycosphere microbiotaSkeletonema

Identifiers

PMID41914849
PMCPMC13101525

What OpenQuestion holds

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Registered trials

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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.