Evidence map›Paper›PMID 39619689›Full record

ArticleFrontiers in microbiology2024

Microbial communities during the composting process of

Chunxia Wang, Dongxia Wang, Chao Li, Zhaopeng Ge, Liubin Hao, Gadah Albasher, Fan Feng, Yue Sun, Yanfen Lyu, Suyue Zheng

Abstract read
In one paragraph

Article in Frontiers in microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

10 authors.

Chunxia WangCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.
Dongxia WangChina United Network Communications Co., Ltd. Zhejiang Company, Hangzhou, China.
Chao LiChengde Academy of Agricultural and Forestry Sciences, Chengde, China.
Zhaopeng GeCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.
Liubin HaoCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.
Gadah AlbasherDepartment of Zoology, College of Science, King Saud University, Riyadh, Saudi Arabia.
Fan FengCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.
Yue SunCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.
Yanfen LyuDepartment of Mathematics and PhysicsScience and Engineering, Hebei University of Engineering, Handan, China.
Suyue ZhengCollege of Landscape and Ecological Engineering, Hebei University of Engineering, Handan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tunnel composting technology for preparing Methods: In the present study, the changes in the microbiome and microbial metabolic functions were surveyed using metagenomic analysis. The physicochemical parameters, agronomic properties and nutritional qualities were also evaluated. Results and discussion: Results showed that the contents of cellulose, hemicellulose and lignin dropped to 10.18, 11.58, 27.53%, respectively at the end of composting. The tunnel composting technology led to significant increases in crude protein content (32.56%) and crude fiber content (13.68%). Variations of physicochemical characteristics led to different successions of microbial communities. Bacteria manifested significantly higher abundance than fungi. Firmicutes, Actinobacteriota, Chloroffexi and Deinococcota were the predominant bacterial phyla. Ascomycota and Basidiomycota were the dominant fungal phyla in the thermophilic phase.

Indexed as

Agaricus subrufescenscompostinghigh-throughput sequencingmetabolic functionmicrobial communities

Identifiers

PMID39619689
PMCPMC11604460

What OpenQuestion holds

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Registered trials

None linked

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.