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A model industrial workhorse: Bacillus subtilis strain 168 and its genome after a quarter of a century

Lookup NU author(s): Professor Colin Harwood

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The vast majority of genomic sequences are automatically annotated using various software programs. The accuracy of these annotations depends heavily on the very few manual annotation efforts that combine verified ex- perimental data with genomic sequences from model organisms. Here, we summarize the updated functional annotation of Bacillus subtilis strain 168, a quarter century after its genome sequence was first made public. Since the last such effort 5 years ago, 1168 genetic functions have been updated, allow- ing the construction of a new metabolic model of this organism of environmen- tal and industrial interest. The emphasis in this review is on new metabolic insights, the role of metals in metabolism and macromolecule biosynthesis, functions involved in biofilm formation, features controlling cell growth, and finally, protein agents that allow class discrimination, thus allowing mainte- nance management, and accuracy of all cell processes. New ‘genomic ob- jects’ and an extensive updated literature review have been included for the sequence, now available at the International Nucleotide Sequence Database Collaboration (INSDC: AccNum AL009126.4).


Publication metadata

Author(s): Bremer E, Calteau A, Danchin A, Harwood C, Helmann JD, Médigue C, Palsson BO, Sekowska A, Vallenet D, Zuniga A, Zuniga C

Publication type: Article

Publication status: Published

Journal: Microbial Biotechnology

Year: 2023

Volume: 16

Issue: 6

Pages: 1203-1231

Print publication date: 01/06/2023

Online publication date: 01/04/2023

Acceptance date: 20/03/2023

Date deposited: 12/04/2023

ISSN (electronic): 1751-7915

Publisher: Wiley-Blackwell Publishing Ltd.

URL: https://doi.org/10.1111/1751-7915.14257

DOI: 10.1111/1751-7915.14257

ePrints DOI: 10.57711/n4xe-1130

PubMed id: 37002859


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Funding

Funder referenceFunder name
ANR-11-INBS-0013
ANR-21-ESRE-0048
France Investissements d'Avenir Agence Nationale pour la Recherche
NIH
R35GM122461

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