Evidence map›Paper›PMID 35984613›Full record

ArticleJournal of microbiology (Seoul, Korea)2022

Enzyme activity of Aspergillus section Nigri strains isolated from the Korean fermentation starter, nuruk.

Eunji Jeong, Jeong-Ah Seo

Abstract read
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In one paragraph

Article in Journal of microbiology (Seoul, Korea), 2022. 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
0.3field-weighted citation impact, top 40% 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

0 citing papers in PubMed, 2 citations in OpenAlex.

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

2 authors at 1 institution in 1 country.

Eunji JeongSchool of Systems Biomedical Science, Soongsil University, Seoul, 06979, Korea.
Jeong-Ah SeoSchool of Systems Biomedical Science, Soongsil University, Seoul, 06979, Korea. sja815@ssu.ac.kr.
Soongsil University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aspergillus section Nigri is a fungus used industrially because of its ability to produce enzymes such as cellulolytic, amylolytic and proteolytic enzymes. In this study, we obtained twenty-eight strains of Aspergillus section Nigri from the traditional Korean fermentation starter, nuruk, which is known as a mixed culture of enzymatic filamentous fungi and yeasts. All strains were identified as Aspergillus section Nigri through combined phylogenetic analysis using partial β-tubulin and calmodulin gene sequences. The cellulase, amylase and protease activities of Korean strains were measured and compared with ten reference strains of Aspergillus niger. Most Korean strains showed higher cellulolytic activity than reference strains, and Aspergillus neoniger KCN5 showed the highest β-glucosidase activity. Two-thirds of the Korean strains showed similar levels of α- and glucoamylase activity as the reference strains. The protease activity of Aspergillus section Nigri strains was the highest at pH 3.0, and A. niger KSJ2 showed the highest acidic protease activity. By comparing ten reference strains and twenty-eight Korean strains, our results suggested useful Aspergillus section Nigri strains from nuruk with high enzyme activity, such as KCN5 and KSJ2, and their potential for industrial applications as enzyme producers.

Indexed as

CellulasesGlucan 1,4-alpha-GlucosidaseAmylasesAspergillus nigerCalmodulinFermentationPeptide HydrolasesPhylogenyRepublic of KoreaTubulinAmylasesCalmodulinCellulasesGlucan 1,4-alpha-GlucosidasePeptide HydrolasesTubulinamylase activityAspergillus nigerAspergillus section Nigriphylogenetic analysisprotease activityβ-glucosidase activity

Identifiers

PMID35984613
OpenAlexW4297457122

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.