Evidence map›Paper›PMID 35349103›Full record

ArticleFolia microbiologica2022

Excavation, expression, and functional analysis of a novel zearalenone-degrading enzyme.

Huihui Gao, Dan Lu, Mingyan Xing, Qing Xu, Feng Xue

Abstract read
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
5.0field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

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  10. Bioenzymatic detoxification of mycotoxins.Frontiers in microbiology · 2024
    Review
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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 at 2 institutions in 1 country.

Huihui GaoSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Dan LuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Mingyan XingSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China.
Qing XuSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China. xu_qing@njnu.edu.cn.ORCID http://orcid.org/0000-0001-9724-2978
Feng XueSchool of Food Science and Pharmaceutical Engineering, Nanjing Normal University, Nanjing, China. xuef2020@njnu.edu.cn.
Nanjing Tech University · CNNanjing Normal University · CN

Funding

National Key Research and Development Program of China 2020YFC1606800
6 · The paper itself

Abstract

Zearalenone (ZEN) is a toxic secondary metabolite of Fusarium sp. commonly found in wheat, corn, and other crops. In addition to economic losses, ZEN can seriously endanger the health of both humans and livestock, thus presenting an urgent need for ZEN-detoxifying enzymes that function in the extreme heat or pH conditions of industrial fermenters. Here, we identify and characterize the activity of the ZEN-degrading enzyme from Exophiala spinifera, ZHD_LD, which shares 60.15% amino acid identity and a conserved catalytic triad with the well-characterized ZEN-detoxifying protein ZHD101 from Clonostachys rosea. Biochemical activity and stability assays indicated that purified recombinant ZHD_LD exhibited high activity against ZEN with optimal reaction conditions of 50 ℃ and pH 7.0-10.0. Structural modeling of the ZHD_LD active site and comparison with ZHD101 revealed its likely mechanism of ZEN degradation. This research provides an industrially valuable candidate enzyme for ZEN detoxification in food and livestock feed.

Indexed as

FusariumZearalenoneHumansHydrolasesTriticumHydrolasesZearalenoneEnzymatic characterizationProtein structureZearalenoneZEN-degrading enzyme

Identifiers

PMID35349103
OpenAlexW4221039486

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.