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Current Genomics

Editor-in-Chief

ISSN (Print): 1389-2029
ISSN (Online): 1875-5488

Inside the Pan-genome - Methods and Software Overview

Author(s): Luis Carlos Guimaraes, Leandro Benevides de Jesus, Marcus Vinicius Canario Viana, Artur Silva, Rommel Thiago Juca Ramos, Siomar de Castro Soares and Vasco Azevedo

Volume 16, Issue 4, 2015

Page: [245 - 252] Pages: 8

DOI: 10.2174/1389202916666150423002311

Price: $65

Abstract

The number of genomes that have been deposited in databases has increased exponentially after the advent of Next-Generation Sequencing (NGS), which produces high-throughput sequence data; this circumstance has demanded the development of new bioinformatics software and the creation of new areas, such as comparative genomics. In comparative genomics, the genetic content of an organism is compared against other organisms, which helps in the prediction of gene function and coding region sequences, identification of evolutionary events and determination of phylogenetic relationships. However, expanding comparative genomics to a large number of related bacteria, we can infer their lifestyles, gene repertoires and minimal genome size. In this context, a powerful approach called Pan-genome has been initiated and developed. This approach involves the genomic comparison of different strains of the same species, or even genus. Its main goal is to establish the total number of non-redundant genes that are present in a determined dataset. Pan-genome consists of three parts: core genome; accessory or dispensable genome; and species-specific or strain-specific genes. Furthermore, pan-genome is considered to be “open” as long as new genes are added significantly to the total repertoire for each new additional genome and “closed” when the newly added genomes cannot be inferred to significantly increase the total repertoire of the genes. To perform all of the required calculations, a substantial amount of software has been developed, based on orthologous and paralogous gene identification.

Keywords: Pan-genome, Core genome, Accessory genome, Species-specific genome, Comparative genome.

Graphical Abstract


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