Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii

Members of the Cryptococcus complex, includes Cryptococcus neoformans (most common fungal infection of the brain) and Cryptococcus gattii (high-impact emerging pathogen worldwide). Currently, the fungal multilocus sequence typing database (Fungal MLST Database) constitutes a valuable data repository...

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Tipo de recurso:
Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/20347
Acceso en línea:
https://repository.urosario.edu.co/handle/10336/20347
Palabra clave:
Cross Linking
Cryptococcus Gattii
Housekeeping Gene
Human
Infectious Agent
Introgression
Major Clinical Study
Multilocus Sequence Typing
Nonhuman
Phylogeny
Population Genetic Structure
Reticulación
Cryptococcus gattii
La limpieza de genes
Enfermedades
C. neoformans
Article
C. gattii
Multilocus sequence typing (MLST)
Allelic diversit
Population structure
Evolutionary history
Criptococosis
Meningitis criptococoica
Meningitis fúngica
Rights
License
Abierto (Texto Completo)
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spelling Grupo de Investigaciones Microbiológicas - UR (GIMUR)Muñoz, MarinaCamargo, MilenaRamírez, Juan DavidMuñoz, MarinaCamargo, MilenaRamírez, Juan D.453006a5-2ec3-4faf-8e32-a9d7075d519d600c67d367e-96c2-4566-8a39-374ead1a65f660010117161186002019-09-26T19:53:13Z2019-09-26T19:53:13Z20182018Members of the Cryptococcus complex, includes Cryptococcus neoformans (most common fungal infection of the brain) and Cryptococcus gattii (high-impact emerging pathogen worldwide). Currently, the fungal multilocus sequence typing database (Fungal MLST Database) constitutes a valuable data repository of the genes used for molecular typing of these pathogens. We analyzed the data available in the Fungal MLST Database for seven housekeeping genes, with the aim to evaluate its contribution in the description of intra-taxa diversity, population genetic structure, and evolutionary patterns. Although the Fungal MLST Database has a greater number of reports for C. neoformans (n = 487) than for C. gattii (n = 344), similar results were obtained for both species in terms of allelic diversity. Phylogenetic reconstructions revealed grouping by molecular type in both species and allowed us to propose differences in evolutionary patterns (gradualism in the case of C. neoformans and punctuated evolution in the case of C. gattii). In addition, C. neoformans showed a population genetic structure consisting of 37 clonal complexes (CCs; CC1 being predominant), high crosslinking [without sequence type (ST) grouping by molecular type], marked divergence events in phylogenetic analysis, and few introgression events (mainly between VNI and VNIV). By contrast, C. gattii showed 50 CCs (with greater homogeneity in ST number by CC) and clustering by molecular type with marked crosslinking events in phylogenetic networks being less evident. Understanding relationships at the molecular level for species of the Cryptococcus complex, based on the sequences of the housekeeping genes, provides information for describing the evolutionary history of these emerging pathogens. © 2018 Muñoz, Camargo and Ramírez.application/pdf10.3389/fgene.2018.001481664-8021https://repository.urosario.edu.co/handle/10336/20347engFrontiers in GeneticsVol. 9Frontiers in Genetics, ISSN:1664-8021, Vol. 9 (2018)https://www.frontiersin.org/articles/10.3389/fgene.2018.00148/fullAbierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Abassi, M., Boulware, D.R., Rhein, J., Cryptococcal meningitis: diagnosis and management update (2015) Curr. Trop. Med. Rep, 2, pp. 90-99instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURCross LinkingCryptococcus GattiiHousekeeping GeneHumanInfectious AgentIntrogressionMajor Clinical StudyMultilocus Sequence TypingNonhumanPhylogenyPopulation Genetic StructureReticulaciónCryptococcus gattiiLa limpieza de genesEnfermedades616600C. neoformansArticleC. gattiiMultilocus sequence typing (MLST)Allelic diversitPopulation structureEvolutionary historyCriptococosisMeningitis criptococoicaMeningitis fúngicaEstimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattiiarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501ORIGINAL66.pdfapplication/pdf3078261https://repository.urosario.edu.co/bitstreams/8e36ca36-a128-4d89-896f-e8961a3157ee/download271fe7c7f32aec1e4812fdd26dce5c7dMD51TEXT66.pdf.txt66.pdf.txtExtracted texttext/plain73326https://repository.urosario.edu.co/bitstreams/72a75ed1-905c-48f7-9a36-5e7faa2c2427/downloadae4b5f334d8474087b996ce31fded723MD52THUMBNAIL66.pdf.jpg66.pdf.jpgGenerated Thumbnailimage/jpeg4316https://repository.urosario.edu.co/bitstreams/06af8f0b-cc47-486d-930f-8391bdade8bb/download8ec5f3f9a256d904b823ffff8e34318bMD5310336/20347oai:repository.urosario.edu.co:10336/203472020-02-12 16:21:01.061https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co
dc.title.spa.fl_str_mv Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
title Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
spellingShingle Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
Cross Linking
Cryptococcus Gattii
Housekeeping Gene
Human
Infectious Agent
Introgression
Major Clinical Study
Multilocus Sequence Typing
Nonhuman
Phylogeny
Population Genetic Structure
Reticulación
Cryptococcus gattii
La limpieza de genes
Enfermedades
C. neoformans
Article
C. gattii
Multilocus sequence typing (MLST)
Allelic diversit
Population structure
Evolutionary history
Criptococosis
Meningitis criptococoica
Meningitis fúngica
title_short Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
title_full Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
title_fullStr Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
title_full_unstemmed Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
title_sort Estimating the intra-taxa diversity, population genetic structure, and evolutionary pathways of Cryptococcus neoformans and Cryptococcus gattii
dc.contributor.gruplac.spa.fl_str_mv Grupo de Investigaciones Microbiológicas - UR (GIMUR)
dc.subject.spa.fl_str_mv Cross Linking
Cryptococcus Gattii
Housekeeping Gene
Human
Infectious Agent
Introgression
Major Clinical Study
Multilocus Sequence Typing
Nonhuman
Phylogeny
Population Genetic Structure
Reticulación
Cryptococcus gattii
La limpieza de genes
topic Cross Linking
Cryptococcus Gattii
Housekeeping Gene
Human
Infectious Agent
Introgression
Major Clinical Study
Multilocus Sequence Typing
Nonhuman
Phylogeny
Population Genetic Structure
Reticulación
Cryptococcus gattii
La limpieza de genes
Enfermedades
C. neoformans
Article
C. gattii
Multilocus sequence typing (MLST)
Allelic diversit
Population structure
Evolutionary history
Criptococosis
Meningitis criptococoica
Meningitis fúngica
dc.subject.ddc.spa.fl_str_mv Enfermedades
dc.subject.keyword.spa.fl_str_mv C. neoformans
Article
C. gattii
Multilocus sequence typing (MLST)
Allelic diversit
Population structure
Evolutionary history
dc.subject.lemb.spa.fl_str_mv Criptococosis
Meningitis criptococoica
Meningitis fúngica
description Members of the Cryptococcus complex, includes Cryptococcus neoformans (most common fungal infection of the brain) and Cryptococcus gattii (high-impact emerging pathogen worldwide). Currently, the fungal multilocus sequence typing database (Fungal MLST Database) constitutes a valuable data repository of the genes used for molecular typing of these pathogens. We analyzed the data available in the Fungal MLST Database for seven housekeeping genes, with the aim to evaluate its contribution in the description of intra-taxa diversity, population genetic structure, and evolutionary patterns. Although the Fungal MLST Database has a greater number of reports for C. neoformans (n = 487) than for C. gattii (n = 344), similar results were obtained for both species in terms of allelic diversity. Phylogenetic reconstructions revealed grouping by molecular type in both species and allowed us to propose differences in evolutionary patterns (gradualism in the case of C. neoformans and punctuated evolution in the case of C. gattii). In addition, C. neoformans showed a population genetic structure consisting of 37 clonal complexes (CCs; CC1 being predominant), high crosslinking [without sequence type (ST) grouping by molecular type], marked divergence events in phylogenetic analysis, and few introgression events (mainly between VNI and VNIV). By contrast, C. gattii showed 50 CCs (with greater homogeneity in ST number by CC) and clustering by molecular type with marked crosslinking events in phylogenetic networks being less evident. Understanding relationships at the molecular level for species of the Cryptococcus complex, based on the sequences of the housekeeping genes, provides information for describing the evolutionary history of these emerging pathogens. © 2018 Muñoz, Camargo and Ramírez.
publishDate 2018
dc.date.created.none.fl_str_mv 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-09-26T19:53:13Z
dc.date.available.none.fl_str_mv 2019-09-26T19:53:13Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv 10.3389/fgene.2018.00148
dc.identifier.issn.none.fl_str_mv 1664-8021
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/20347
identifier_str_mv 10.3389/fgene.2018.00148
1664-8021
url https://repository.urosario.edu.co/handle/10336/20347
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv Frontiers in Genetics
dc.relation.citationVolume.none.fl_str_mv Vol. 9
dc.relation.ispartof.spa.fl_str_mv Frontiers in Genetics, ISSN:1664-8021, Vol. 9 (2018)
dc.relation.uri.spa.fl_str_mv https://www.frontiersin.org/articles/10.3389/fgene.2018.00148/full
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
http://purl.org/coar/access_right/c_abf2
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institution Universidad del Rosario
dc.source.bibliographicCitation.spa.fl_str_mv Abassi, M., Boulware, D.R., Rhein, J., Cryptococcal meningitis: diagnosis and management update (2015) Curr. Trop. Med. Rep, 2, pp. 90-99
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
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