Evidence map›Paper›PMID 41852681›Full record

ArticleFrontiers in nutrition2026

Effects of light qualities on the growth phenotype and internal components of

Mengyan Zhao, Jinheng Zhang, Xiaoyi Bai, Yunshuang Wang, Xianjin Jin, Shisong Zhang, Sheng Yang, Bing Zhou

Abstract read
In one paragraph

Article in Frontiers in nutrition, 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

8 authors.

Mengyan Zhao *College of Big Data, Yunnan Agricultural University, Kunming, China.
Jinheng Zhang *College of Science, Yunnan Agricultural University, Kunming, China.
Xiaoyi BaiCollege of Science, Yunnan Agricultural University, Kunming, China.
Yunshuang WangCollege of Big Data, Yunnan Agricultural University, Kunming, China.
Xianjin JinCollege of Big Data, Yunnan Agricultural University, Kunming, China.
Shisong ZhangCollege of Big Data, Yunnan Agricultural University, Kunming, China.
Sheng YangCollege of Big Data, Yunnan Agricultural University, Kunming, China.
Bing ZhouCollege of Science, Yunnan Agricultural University, Kunming, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Light quality is one of the key environmental factors affecting the growth, development, and internal composition of edible fungi. However, its specific effects on Methods: Results: Light quality significantly modulated specific developmental traits. Red light (R) most effectively accelerated early fruiting body formation, while natural light (N) optimized late-stage morphological expansion. Green light (G) uniquely increased the number of leaf-like structures. For quality attributes, natural and blue light enhanced color saturation and visual appeal. Natural and red light improved the flavor profile by increasing the proportion of umami and sweet amino acids. Pink light (P) was identified as optimal for simultaneously boosting the content of polysaccharides, proteins, and cellulose. In contrast, yellow light (Y) and continuous darkness severely suppressed most growth and quality metrics. Discussion: This study systematically demonstrates the differential regulatory effects of light quality on the phenotype, sensory quality, and nutritional/functional components of

Indexed as

functional componentsgrowth phenotypelight qualitiesnutritional componentsSchizophyllum commune

Identifiers

PMID41852681
PMCPMC12992238

What OpenQuestion holds

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LicenceCC BY
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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.