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Inside the Pan-genome - Methods and Software Overview

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, suc...

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Autores principales: Guimarães, Luis Carlos, Florczak-Wyspianska, Jolanta, de Jesus, Leandro Benevides, Viana, Marcus Vinícius Canário, Silva, Artur, Ramos, Rommel Thiago Jucá, Soares, Siomar de Castro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Bentham Science Publishers 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765519/
https://www.ncbi.nlm.nih.gov/pubmed/27006628
http://dx.doi.org/10.2174/1389202916666150423002311
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author Guimarães, Luis Carlos
Florczak-Wyspianska, Jolanta
de Jesus, Leandro Benevides
Viana, Marcus Vinícius Canário
Silva, Artur
Ramos, Rommel Thiago Jucá
Soares, Siomar de Castro
Soares, Siomar de Castro
author_facet Guimarães, Luis Carlos
Florczak-Wyspianska, Jolanta
de Jesus, Leandro Benevides
Viana, Marcus Vinícius Canário
Silva, Artur
Ramos, Rommel Thiago Jucá
Soares, Siomar de Castro
Soares, Siomar de Castro
author_sort Guimarães, Luis Carlos
collection PubMed
description 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.
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spelling pubmed-47655192016-03-22 Inside the Pan-genome - Methods and Software Overview Guimarães, Luis Carlos Florczak-Wyspianska, Jolanta de Jesus, Leandro Benevides Viana, Marcus Vinícius Canário Silva, Artur Ramos, Rommel Thiago Jucá Soares, Siomar de Castro Soares, Siomar de Castro Curr Genomics Article 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. Bentham Science Publishers 2015-08 2015-08 /pmc/articles/PMC4765519/ /pubmed/27006628 http://dx.doi.org/10.2174/1389202916666150423002311 Text en ©2015 Bentham Science Publishers https://creativecommons.org/licenses/by-nc/4.0/legalcode This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
spellingShingle Article
Guimarães, Luis Carlos
Florczak-Wyspianska, Jolanta
de Jesus, Leandro Benevides
Viana, Marcus Vinícius Canário
Silva, Artur
Ramos, Rommel Thiago Jucá
Soares, Siomar de Castro
Soares, Siomar de Castro
Inside the Pan-genome - Methods and Software Overview
title Inside the Pan-genome - Methods and Software Overview
title_full Inside the Pan-genome - Methods and Software Overview
title_fullStr Inside the Pan-genome - Methods and Software Overview
title_full_unstemmed Inside the Pan-genome - Methods and Software Overview
title_short Inside the Pan-genome - Methods and Software Overview
title_sort inside the pan-genome - methods and software overview
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4765519/
https://www.ncbi.nlm.nih.gov/pubmed/27006628
http://dx.doi.org/10.2174/1389202916666150423002311
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