Evidence map›Paper›PMID 42655171›Full record

ArticleMicroorganisms2026

PGPR-Treated Spent Mushroom Substrate Enhances Lignocellulose Degradation, Enzyme Activities, and Microbial Restructuring to Sustain Blueberry Rhizosphere Fertility.

Mengjiao Wang, Ningqiang Li, Yinku Liang, Zhimin Xu, Haicui Wu

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

5 authors.

Mengjiao WangSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, China.ORCID 0000-0002-1385-0480
Ningqiang LiSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, China.ORCID 0009-0006-0145-4743
Yinku LiangSchool of Biological Science and Engineering, Shaanxi University of Technology, Hanzhong 723001, China.ORCID 0000-0001-6910-6020
Zhimin XuSchool of Nutrition and Food Sciences, Louisiana State University, Baton Rouge, LA 70802, USA.
Haicui WuDepartment of Food Science and Nutrition, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong, China.

Funding

Yulin Municipal Bureau of Science and Technology 2025-CXY-071
6 · The paper itself

Abstract

Spent mushroom substrate (SMS) is a major agricultural byproduct whose complex lignocellulosic matrix hinders direct reuse and poses environmental risks when stockpiled. This study evaluated whether pretreatment with plant growth-promoting rhizobacteria (PGPR) could enhance SMS as a soil amendment for blueberry cultivation. Two PGPR-treated SMS formulations, along with raw SMS and a blank control, were applied to blueberry seedlings in a 10-month greenhouse experiment. Plant height, rhizosphere soil nutrients, enzyme activities, lignocellulose fractions, and the microbial communities were monitored over three growth phases and four sampling points. PGPR-treated SMS significantly increased blueberry height gain during the fast-growing phase (June-September) and sustained elevated levels of organic carbon, nitrogen, phosphorus, and potassium throughout the experiment. Activities of cellulase, xylanase, laccase, peroxidase, protease, and lipase were markedly enhanced, accompanied by reduced lignin and cellulose contents and persistently high glucose availability. The amendments reshaped bacterial and fungal communities, enriching

Indexed as

blueberrylignocellulose degradationplant growth-promoting rhizobacteriarhizosphere microbiomesoil enzymesspent mushroom substrate

Identifiers

PMID42655171
PMCPMC13515782

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.