The microbial pan-genome

TL;DR: This paper presents seven quick tips for efficient and correct computational pangenomic analysis, focusing on bacterial pangenomics, to help beginners avoid common mistakes and produce reliable results in the emerging field of computational pangenomics.

TL;DR: This study investigates genetic differences in Lactiplantibacillus plantarum growth under aerobic vs. anaerobic conditions, revealing distinct evolutionary pathways and gene acquisitions/losses, particularly in group A1, which lacks the narGHIJ operon necessary for energy production under limited oxygen.

TL;DR: The Roary ILP Bacterial core Annotation Pipeline (RIBAP) uses an integer linear programming approach to refine gene clusters predicted by Roary for identifying core genes, outperforming other established and recent pangenome tools for identifying all-encompassing core genes at the genus level.

TL;DR: Over 1.2 million previously unknown genes represented in these samples, including more than 782 new rhodopsin-like photoreceptors are identified, suggesting substantial oceanic microbial diversity.

TL;DR: The genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans, was generated and Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactic pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.

TL;DR: Mobile elements within genomes have driven genome evolution in diverse ways and are becoming useful tools for learning more about genome evolution and gene function.

TL;DR: The current review presents the available genomics and biological data on prophages from bacterial pathogens in an evolutionary framework to demonstrate that the chromosomes from bacteria and their viruses (bacteriophages) are coevolving.