Evidence map›Paper›PMID 30736734›Full record

ArticleBMC genomics2019

Comparative transcriptome analysis identified candidate genes involved in mycelium browning in Lentinula edodes.

Seung-Il Yoo, Hwa-Yong Lee, Kesavan Markkandan, Suyun Moon, Yong Ju Ahn, Sumin Ji, Junsu Ko, Seong-Jin Kim, Hojin Ryu, Chang Pyo Hong

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
7.0field-weighted citation impact, top 3% of its field
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

38 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. First genome report ofFrontiers in fungal biology · 2026
    Article
  5. Review
  6. Cultivation methods and biology of Lentinula edodes.Applied microbiology and biotechnology · 2025
    Review
  7. High-Yield-Related Genes Participate in Mushroom Production.Journal of fungi (Basel, Switzerland) · 2024
    Review
  8. Article
  9. Article
  10. Phenotypic characteristics of the mycelium ofFrontiers in bioengineering and biotechnology · 2024
    Article
  11. Article
  12. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors at 2 institutions in 1 country.

Seung-Il YooTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Hwa-Yong LeeDepartment of Biology, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Kesavan MarkkandanTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Suyun MoonDepartment of Biology, Chungbuk National University, Cheongju, 28644, Republic of Korea.
Yong Ju AhnTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Sumin JiTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Junsu KoTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Seong-Jin KimTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea.
Hojin RyuDepartment of Biology, Chungbuk National University, Cheongju, 28644, Republic of Korea. hjryu96@chungbuk.ac.kr.
Chang Pyo HongTheragen Etex Bio Institute, Suwon, 16229, Republic of Korea. changpyo.hong@theragenetex.com.
Theragen · KRChungbuk National University · KR

Funding

Golden Seed Project (KOR) 213007-05-1-SBH20Strategic Initiative for Microbiomes in Agriculture and Food (KOR) 914008-04
6 · The paper itself

Abstract

backgroundLentinula edodes is one of the most popular edible mushroom species in the world and contains useful medicinal components, such as lentinan. The light-induced formation of brown film on the vegetative mycelial tissues of L. edodes is an important process for ensuring the quantity and quality of this edible mushroom. To understand the molecular mechanisms underlying this critical developmental process in L. edodes, we characterized the morphological phenotypic changes in a strain, Chamaram, associated with abnormal brown film formation and compared its genome-wide transcriptional features.

resultsIn the present study, we performed genome-wide transcriptome analyses of different vegetative mycelium growth phenotypes, namely, early white, normal brown, and defective dark yellow partial brown films phenotypes which were exposed to different light conditions. The analysis revealed the identification of clusters of genes specific to the light-induced brown film phenotypes. These genes were significantly associated with light sensing via photoreceptors such as FMN- and FAD-bindings, signal transduction by kinases and GPCRs, melanogenesis via activation of tyrosinases, and cell wall degradation by glucanases, chitinases, and laccases, which suggests these processes are involved in the formation of mycelial browning in L. edodes. Interestingly, hydrophobin genes such as SC1 and SC3 exhibited divergent expression levels in the normal and abnormal brown mycelial films, indicating the ability of these genes to act in fruiting body initiation and formation of dikaryotic mycelia. Furthermore, we identified the up-regulation of glycoside hydrolase domain-containing genes in the normal brown film but not in the abnormal film phenotype, suggesting that cell wall degradation in the normal brown film phenotype is crucial in the developmental processes related to the initiation and formation of fruiting bodies.

conclusionsThis study systematically analysed the expression patterns of light-induced browning-related genes in L. edodes. Our findings provide information for further investigations of browning formation mechanisms in L. edodes and a foundation for future L. edodes breeding.

Indexed as

Gene Expression ProfilingGenes, FungalLentinulaLightMyceliumPhenotypePigmentationBrown filmCell wall degradationFruit bodyLentinula edodesLight sensingMyceliumTranscriptome

Identifiers

PMID30736734
PMCPMC6368761
OpenAlexW2919586321

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.