Literature DB >> 28189581

Construction and Analysis of Two Genome-Scale Deletion Libraries for Bacillus subtilis.

Byoung-Mo Koo1, George Kritikos2, Jeremiah D Farelli3, Horia Todor1, Kenneth Tong1, Harvey Kimsey4, Ilan Wapinski5, Marco Galardini6, Angelo Cabal1, Jason M Peters1, Anna-Barbara Hachmann4, David Z Rudner4, Karen N Allen3, Athanasios Typas7, Carol A Gross8.   

Abstract

A systems-level understanding of Gram-positive bacteria is important from both an environmental and health perspective and is most easily obtained when high-quality, validated genomic resources are available. To this end, we constructed two ordered, barcoded, erythromycin-resistance- and kanamycin-resistance-marked single-gene deletion libraries of the Gram-positive model organism, Bacillus subtilis. The libraries comprise 3,968 and 3,970 genes, respectively, and overlap in all but four genes. Using these libraries, we update the set of essential genes known for this organism, provide a comprehensive compendium of B. subtilis auxotrophic genes, and identify genes required for utilizing specific carbon and nitrogen sources, as well as those required for growth at low temperature. We report the identification of enzymes catalyzing several missing steps in amino acid biosynthesis. Finally, we describe a suite of high-throughput phenotyping methodologies and apply them to provide a genome-wide analysis of competence and sporulation. Altogether, we provide versatile resources for studying gene function and pathway and network architecture in Gram-positive bacteria.
Copyright © 2017 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Bacillus subtilis; Genome-wide screening; auxotrophic gene; competence; essential gene; growth; high-throughput methods for transformation and double-mutant analysis; ordered gene deletion mutant library; sporulation; ysaA

Mesh:

Substances:

Year:  2017        PMID: 28189581      PMCID: PMC5400513          DOI: 10.1016/j.cels.2016.12.013

Source DB:  PubMed          Journal:  Cell Syst        ISSN: 2405-4712            Impact factor:   10.304


  76 in total

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  159 in total

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