Evidence map›Paper›PMID 40572153›Full record

ArticleMicroorganisms2025

The Community Structure of Aerobic Anoxygenic Photosynthetic Bacteria in Biocrusts on Tropical Coral Islands and Their Application in Ecological Restoration, South China Sea.

Jing Wen, Zhimao Mai, Jie Li, Lin Wang, Si Zhang

Abstract read
In one paragraph

Article in Microorganisms, 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.

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

5 authors.

Jing WenCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China.
Zhimao MaiCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China.
Jie LiCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China.
Lin WangCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China.
Si ZhangCAS Key Laboratory of Tropical Marine Bio-Resources and Ecology, South China Sea Institute of Oceanology Chinese Academy of Sciences, Guangzhou 510301, China.

Funding

National Key R&D Program of China Key Special Project for Marine Environmental Security and Sustainable Development of Coral Reefs 2022-103National Natural Science Foundation of China 42494884, 42206155Natural Science Foundation of Guangdong Province, China 2024A1515011389, 2025A1515010846
6 · The paper itself

Abstract

Biological soil crusts (referred to as biocrusts) constitute prominent components within the ecosystem of tropical coral islands in the South China Sea, covering approximately 6.25% of the island's terrestrial surface. Biocrusts are the key to the restoration of the island ecosystem. It is widely acknowledged that phototrophic microorganisms profoundly contribute to biocrust formation and development. They provide fixed carbon and nitrogen and produce exopolysaccharides for the BSC ecosystems. Although aerobic anoxygenic phototrophic bacteria (AAPB) are an important functional group of phototrophic microorganisms, the community characteristics of AAPB in coral island biocrusts and their role in the formation of biocrusts have rarely been reported. In this study, we employed amplifications of the

Indexed as

aerobic anoxygenic phototrophic bacteriabiocrustdiversityecological restorationenvironmental driver factorstropical coral island

Identifiers

PMID40572153
PMCPMC12195347

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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.