Complete genome analysis of the cellulose producing strain Komagataeibacter sucrofermentans SMEG01

Abstract Bacterial cellulose (BC) has been extensively utilized across various industries due to its unique properties, however, the high production cost remains a significant limiting factor for broader application. Understanding the genetic background of BC-producing strains through genome sequenc...

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Bibliographic Details
Main Authors: Shuaijun Deng, Lei Wang, Guoqiang Chen, Qilong Qin, Sheng Dong, Haibo Zhang
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
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Online Access:https://doi.org/10.1038/s41598-025-07045-y
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Summary:Abstract Bacterial cellulose (BC) has been extensively utilized across various industries due to its unique properties, however, the high production cost remains a significant limiting factor for broader application. Understanding the genetic background of BC-producing strains through genome sequencing is an effective strategy for optimizing BC synthesis and reducing production costs. Komagataeibacter sucrofermentans SMEG01, a high-yield bacterial cellulose producer, has a total genome length of 3.44 Mbp with 3,276 annotated genes. The strain possesses fully functional pentose phosphate pathway, Entner-Doudoroff pathway, pyruvate metabolism, and tricarboxylic acid cycle, but lacks the gene encoding phosphofructokinase, resulting in an incomplete glycolytic pathway. This strain demonstrates the ability to utilize various carbon sources for BC production and exhibits notable acid tolerance, making it a promising candidate for industrial applications. The genome sequence reveals the presence of four bcs operons on the chromosome, placing it among the strains with the highest number of such operons, contributing to its high cellulose production potential. Comparative genomic analysis elucidates the genetic relationships, unique features, and environmental adaptation mechanisms of K. sucrofermentans SMEG01 in relation to other Komagataeibacter species, providing valuable targets for future genetic engineering applications.
ISSN:2045-2322