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Comparative genomics of the Komagataeibacter strains—Efficient bionanocellulose producers

Authors: Małgorzata Ryngajłło; Katarzyna Kubiak; Marzena Jędrzejczak‐Krzepkowska; Paulina Jacek; Stanisław Bielecki;

Comparative genomics of the Komagataeibacter strains—Efficient bionanocellulose producers

Abstract

AbstractKomagataeibacter species are well‐recognized bionanocellulose (BNC) producers. This bacterial genus, formerly assigned to Gluconacetobacter, is known for its phenotypic diversity manifested by strain‐dependent carbon source preference, BNC production rate, pellicle structure, and strain stability. Here, we performed a comparative study of nineteen Komagataeibacter genomes, three of which were newly contributed in this work. We defined the core genome of the genus, clarified phylogenetic relationships among strains, and provided genetic evidence for the distinction between the two major clades, the K. xylinus and the K. hansenii. We found genomic traits, which likely contribute to the phenotypic diversity between the Komagataeibacter strains. These features include genome flexibility, carbohydrate uptake and regulation of its metabolism, exopolysaccharides synthesis, and the c‐di‐GMP signaling network. In addition, this work provides a comprehensive functional annotation of carbohydrate metabolism pathways, such as those related to glucose, glycerol, acetan, levan, and cellulose. Findings of this multi‐genomic study expand understanding of the genetic variation within the Komagataeibacter genus and facilitate exploiting of its full potential for bionanocellulose production at the industrial scale.

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Keywords

bacterial cellulose, exopolysaccharides, Genetic Variation, comparative genomics, Original Articles, Genomics, Komagataeibacter, Microbiology, Synteny, QR1-502, c‐di‐GMP network, Genes, Bacterial, Acetobacteraceae, Nanoparticles, genome flexibility, Cellulose, Genome, Bacterial, Phylogeny

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    74
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 1%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
74
Top 1%
Top 10%
Top 10%
Green
gold