Journal Article10.1016/J.GDE.2005.09.006
The microbial pan-genome
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TL;DR: A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed and the pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome", might be orders of magnitude larger than any single genome.
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About: This article is published in Current Opinion in Genetics & Development. The article was published on 01 Dec 2005. The article focuses on the topics: Minimal genome & Bacterial genome size.
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Citations
Phylogenetic Analysis of the Bifidobacterium Genus Using Glycolysis Enzyme Sequences.
TL;DR: It is shown that glycolysis genes occur broadly in these genomes, to encode the machinery necessary for the biochemical spine of the cell, and provide a robust phylogenetic marker.
Pan-Genome of Brucella Species
Jagadesan Sankarasubramanian,Udayakumar S. Vishnu,Jayavel Sridhar,Paramasamy Gunasekaran,Jeyaprakash Rajendhran +4 more
TL;DR: The virulence genes such as flagella, type III secretion system, hemolysins, outer membrane proteins, acvB, MViN and genes involved in eryrthritol metabolism were found in the accessory genome, which may guide the host specificity.
Unique core genomes of the bacterial family vibrionaceae: insights into niche adaptation and speciation
TL;DR: The presented work indicates that genes specific for any taxon inside the bacterial family Vibrionaceae exist and suggests that unique core genes can be used to aid classification of bacteria and contribute to a bacterial species definition on a genomic level.
Chromosome-specific sequencing reveals an extensive dispensable genome component in wheat
TL;DR: By sequencing flow-sorted 3B chromosome from a hexaploid wheat genotype CRNIL1A and comparing the obtained sequences with those available for CS, it is detected that a large number of sequences in the former were missing in the latter.
From genomics to metagenomics
Narayan Desai,Dion Antonopoulos,Jack A. Gilbert,Jack A. Gilbert,Elizabeth M. Glass,Folker Meyer +5 more
TL;DR: The current trend in metagenomics analysis is toward reducing computational costs through improved algorithms and through analysis strategies, and data sharing and interoperability between tools are critical, since computation for metagenomic datasets is very high.
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