Evidence map›Paper›PMID 41888331›Full record

ReviewCurrent microbiology2026

Comparative Review of Microbial Chitosanases: Properties, Structures, Hydrolytic Modes and Applications.

Fengyun Wang, Peng Zhou, Yue Hu, Mengyuan Li, Yan Zhang, Jingjing Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current microbiology, 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

6 authors.

Fengyun Wang *School of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China.
Peng Zhou *School of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China.
Yue Hu *School of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China.
Mengyuan LiSchool of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China.
Yan ZhangSchool of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China.
Jingjing WangSchool of Life Sciences, Hefei Normal University, Lianhua Road 1688, Hefei, 230061, Anhui, China. wjj_0203@126.com.ORCID http://orcid.org/0000-0002-0127-6098

Funding

National Natural Science Foundation of China Grant No.31800049
6 · The paper itself

Abstract

Chitosanases (EC 3.2.1.132) are glycoside hydrolases that specifically cleave β-1,4-glycosidic bonds within polysaccharides. In nature, they are predominantly produced by bacteria and fungi. These enzymes break down chitosan into low-molecular-weight chitooligosaccharides with enhanced bioavailability, acting as pivotal catalysts in the microbial carbon cycle. Variations in their hydrolytic mechanisms across microbial origins are crucial for tailoring bioactive chitooligosaccharides with defined structures and functions. This review, from the perspective of microbial diversity, synthesizes current knowledge on chitosanases, covering their enzymatic properties, structural features, substrate specificities, and hydrolytic modes, with particular emphasis on both shared features and origin-specific distinctions.Such insights will accelerate the discovery and in-depth characterization of microbial chitosanase resources and guide the rational engineering of enzymes for the precise and efficient synthesis of high-value chitooligosaccharides.

Indexed as

BacteriaFungiGlycoside HydrolasesChitosanHydrolysisOligosaccharidesSubstrate SpecificityChitosanchitosanaseGlycoside HydrolasesOligosaccharides

Identifiers

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.