Evidence map›Paper›PMID 38879855›Full record

ArticleCurrent microbiology2024

Transcriptomics Reveals the Mechanism of Purpureocillium lilacinum GZAC18-2JMP in Degrading Keratin Material.

Shumei Han, Yingxia Lu, Lan Peng, Xuan Dong, Liping Zhu, Yanfeng Han

Abstract read
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Article in Current microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Shumei HanInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Yingxia LuInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Lan PengInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Xuan DongInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Liping ZhuInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China.
Yanfeng HanInstitute of Fungus Resource, College of Life Science, Guizhou University, Guiyang, 550025, Guizhou, China. swallow1128@126.com.ORCID http://orcid.org/0000-0002-8646-3975

Funding

"Hundred" Talent Projects of Guizhou Province Qian Ke He [2020] 6005National Natural Science Foundation of China 32060011National Natural Science Foundation of China 32160007National Natural Science Foundation of China 32260003
6 · The paper itself

Abstract

Microbial degradation of keratin is characterized by its inherent safety, remarkable efficiency, and the production of copious degradation products. All these attributes contribute to the effective management of waste materials at high value-added and in a sustainable manner. Microbial degradation of keratin materials remains unclear, however, with variations observed in the degradation genes and pathways among different microorganisms. In this study, we sequenced the transcriptome of Purpureocillium lilacinum GZAC18-2JMP mycelia on control medium and the medium containing 1% feather powder, analyzed the differentially expressed genes, and revealed the degradation mechanism of chicken feathers by P. lilacinum GZAC18-2JMP. The results showed that the chicken feather degradation rate of P. lilacinum GZAC18-2JMP reached 64% after 216 h of incubation in the fermentation medium, reaching a peak value of 148.9 μg·mL

Indexed as

FeathersHypocrealesKeratinsTranscriptomeAnimalsBiodegradation, EnvironmentalChickensFermentationFungal ProteinsGene Expression ProfilingMyceliumPeptide HydrolasesFungal ProteinskeratinaseKeratinsPeptide Hydrolases

Identifiers

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.