Evidence map›Paper›PMID 42799835›Full record

ReviewWorld journal of microbiology & biotechnology2026

Granaticin biosynthesis and engineering: mechanistic understanding, production bottlenecks, and computational opportunities.

Chang Chen, Bingyu Zhao, Qiaolei Zhu, Xiaodi Wang, Nairu Ji, Yunping Zhu

Abstract readReview
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In one paragraph

Review in World journal of microbiology & biotechnology, 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.

Chang ChenKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Bingyu ZhaoKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Qiaolei ZhuKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Xiaodi WangKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Nairu JiKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China.
Yunping ZhuKey Laboratory of Green Manufacturing and Biosynthesis of Food Bioactive Substances, China General Chamber of Commerce, School of Food and Health, Beijing Technology and Business University, Beijing, 100048, China. zhuyp@th.btbu.edu.cn.

Funding

Post-graduate Training and Education Quality Improvement Project of Beijing Technology and Business University No.11000101011the National Natural Science Foundation of China No.32272253
6 · The paper itself

Abstract

Granaticin, as a member of the benzoisochromanequinone (BIQ) family, exhibits a range of biological activities, including antibacterial, antitumor, and antibiofilm effects. Notably, this compound displays a bright blue color under alkaline conditions, highlighting its potential application as a functional pigment.Although its biosynthetic gene cluster has been identified and partially characterized, efficient production of granaticin remains significantly constrained by an incomplete understanding of pathway regulation, enzymatic specificity, and metabolic flux distribution. Despite these advances, strategies for improving granaticin yield still rely largely on empirical approaches and lack predictive capability within complex biosynthetic systems. With the advancement of computational approaches-such as protein structure prediction, metabolic flux analysis, and data-driven optimization of fermentation processes-granaticin research is shifting from empirical optimization toward system-level and predictive engineering.This review systematically summarizes recent progress in granaticin research, with particular emphasis on biosynthetic mechanisms, pathway regulation, metabolic engineering strategies, tailoring enzyme functions, heterologous expression systems, and emerging computational approaches. In addition, the limitations of current engineering strategies and the major challenges associated with achieving scalable and controllable production are critically discussed.

Indexed as

Metabolic EngineeringBiosynthetic PathwaysComputational BiologyFermentationMultigene FamilyArtificial IntelligenceBenzoisochromanequinoneBiosynthesisGranaticinPathway engineering

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.