AI Article Synopsis

  • The text outlines the use of pyPGCF, a Python software for analyzing bacterial genomes in a Linux environment, focusing on various analyses like phylogenomics and species demarcation.
  • Key features include identifying core and species-specific proteins, functional annotation using eggNOG, and detecting gene clusters with antiSMASH.
  • The software is efficient, capable of analyzing numerous genomes quickly, making it suitable for studying important bacterial species related to plants.

Article Abstract

This computational protocol describes how to use pyPGCF, a python software package that runs in the linux environment, in order to analyze bacterial genomes and perform: (i) phylogenomic analysis, (ii) species demarcation, (iii) identification of the core proteins of a bacterial genus and its individual species, (iv) identification of species-specific fingerprint proteins that are found in all strains of a species and, at the same time, are absent from all other species of the genus, (v) functional annotation of the core and fingerprint proteins with eggNOG, and (vi) identification of secondary metabolite biosynthetic gene clusters (smBGCs) with antiSMASH. This software has already been implemented to analyze bacterial genera and species that are important for plants (e.g., Pseudomonas, Bacillus, Streptomyces). In addition, we provide a test dataset and example commands showing how to analyze 165 genomes from 55 species of the genus Bacillus. The main advantages of pyPGCF are that: (i) it uses adjustable orthology cut-offs, (ii) it identifies species-specific fingerprints, and (iii) its computational cost scales linearly with the number of genomes being analyzed. Therefore, pyPGCF is able to deal with a very large number of bacterial genomes, in reasonable timescales, using widely available levels of computing power.

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http://dx.doi.org/10.1007/978-1-0716-3782-1_8DOI Listing

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