Evidence map›Paper›PMID 42513955›Full record

ArticleMicroorganisms2026

Study on the Community Characteristics of the Endogenous Microbiome in Earthworm Cocoons in Composting Systems with Different Base Materials.

Jinjun Wang, Xinru Gao, Tianyi Jia, Duoduo Chen, Haitao Zhao, Yang Zhang, Jian Hu

Abstract read
In one paragraph

Article in Microorganisms, 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jinjun WangCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0001-5723-1799
Xinru GaoCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Tianyi JiaCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Duoduo ChenCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Haitao ZhaoCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.ORCID 0000-0002-3115-055X
Yang ZhangCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.
Jian HuCollege of Environmental Science and Engineering, Yangzhou University, Yangzhou 225127, China.

Funding

National Natural Science Foundation of China 41977053
6 · The paper itself

Abstract

This study investigates earthworm cocoons as key vectors for the vertical transmission of symbiotic bacteria, a process that profoundly shapes the gut microbiota of offspring and influences their environmental adaptability. However, systematic knowledge of the internal microbiome communities within earthworm cocoons remains limited. Here, we characterized the composition and functional potential of bacterial communities within cocoons of earthworms collected from three composting systems (fermented coffee grounds, cow manure, and residual sludge) using high-throughput sequencing, together with diversity analyses, dominant taxa identification, and FAPROTAX-based functional prediction. Our results indicated that the composting system significantly affects bacterial diversity and community structure. The fermented coffee grounds system supported the highest species richness, whereas the cow manure system exhibited the greatest diversity and evenness. At the phylum level, Pseudomonadota, Actinomycetota, and Bacteroidota predominated across all systems, with Pseudomonadota being particularly abundant (62.01-81.41%). At the genus level,

Indexed as

bacterial communitiescomposting systemsearthworm cocoonssymbiotic bacteria

Identifiers

PMID42513955
PMCPMC13414446

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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.