Evidence map›Paper›PMID 42761067›Full record

ArticleFrontiers in microbiology2026

Mineral-specific effects on humification and bacterial community succession in industrial-scale spent mushroom substrate composting.

Yuan Chang, Nannan Miao, Yuhan Zhang, Yuquan Wei, Yanbin Guo, Yizhi Sheng, Jing Xie, Licheng Zhang, Ji Li

Abstract read
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Article in Frontiers in microbiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yuan Chang *College of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Nannan Miao *College of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Yuhan ZhangCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Yuquan WeiCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Yanbin GuoCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Yizhi ShengCenter for Geomicrobiology and Biogeochemistry Research, State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, Beijing, China.
Jing XieCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.
Licheng ZhangGenliduo Bio-Tech Corporation Ltd., Xingtai, China.
Ji LiCollege of Resources and Environmental Sciences, China Agricultural University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spent mushroom substrate (SMS) is a lignocellulose-rich agricultural by-product whose slow humification can limit the quality and agronomic value of the resulting compost. This study compared four low-cost mineral amendments: shale powder (S), mullite-based soil conditioner (SC), flue-gas desulfurization gypsum (DG), and rare-earth silico-titanate ore powder (TO). Each mineral was added at 10% of SMS dry mass during 40-day industrial-scale composting. Mineral structure, physicochemical properties, humic fractions, dissolved organic matter (DOM) fluorescence components, and bacterial succession were evaluated. Results showed that mineral amendments accelerated pile heating, prolonged the thermophilic phase, and promoted compost humification. Relative to CK, final humic acid (HA) content increased by 20.6, 28.1, 10.7, and 7.9% in S, SC, DG, and TO, respectively, while the humification index (HI) increased by 25.9, 41.5, 14.9, and 16.0%, respectively, highlighting SC as the strongest overall humification response. EEM-PARAFAC analysis revealed mineral-specific DOM transformation patterns: the relative abundance of the highly humified C3 component increased by 9.1 and 17.3% in S and SC, respectively, whereas DG preferentially increased C2 by 18.8%, and TO caused a slight 2.3% decrease in C3 relative to CK. SC increased the relative proportion of the highly humified C3 component by 17.3%, whereas DG increased that of C2 by 18.8% relative to CK. Mineral amendments also reshaped bacterial succession in a stage-dependent manner. SC favored heat-adapted core genera associated with organic matter transformation and humification during the thermophilic and cooling phases, whereas DG and TO exerted stronger selection for maturation-associated Actinomycetota, particularly

Indexed as

compost humificationcore bacterial generadissolved organic mattermineral amendmentspent mushroom substrate

Identifiers

PMID42761067
PMCPMC13585754

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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.