ArticleBioMed research international2021
Study on Microbial Community Succession and Functional Analysis during Biodegradation of Mushroom Residue.
Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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.
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Who cites it
3 citing papers in PubMed.
- Metagenomic Insights into Microbial Community Succession and its Functional Changes during Natural Fermentation of Food Waste.Applied biochemistry and biotechnology · 2026Article
- Exploration of Multi-Source Lignocellulose-Degrading Microbial Resources and Bioaugmentation Strategies: Implications for Rumen Efficiency.Animals : an open access journal from MDPI · 2025Review
- Persistence of E. coli O157:H7 in urban recreational waters from Spring and Autumn: a comparison analysis.Environmental science and pollution research international · 2022Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, 16S rRNA high-throughput sequencing technology was used to analyze the composition and diversity of bacterial and fungal communities in mushroom residue samples at different composting stages. During the composting process, the maximum temperature in the center of the pile can reach 52.4°C, and the temperature above 50°C has been maintained for about 8 days. The results showed that
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Registered trials
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.