Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]

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Genetic diversity is an important component of biodiversity, and it is crucial for current efforts to protect and sustainably manage several organisms and habitats. As far as we know, there is only one work describing Peruvian genetic information stored in public databases. We aimed to update this p...

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Detalles Bibliográficos
Autores: Romero P.E., Castillo-Vilcahuaman C.
Formato: artículo
Fecha de Publicación:2021
Institución:Consejo Nacional de Ciencia Tecnología e Innovación
Repositorio:CONCYTEC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorio.concytec.gob.pe:20.500.12390/2399
Enlace del recurso:https://hdl.handle.net/20.500.12390/2399
https://doi.org/10.15381/RPB.V28I1.17867
Nivel de acceso:acceso abierto
Materia:Public databases
Biodiversity
Data mining
Genetic diversity
Peru
http://purl.org/pe-repo/ocde/ford#3.04.03
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network_name_str CONCYTEC-Institucional
repository_id_str 4689
dc.title.none.fl_str_mv Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
title Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
spellingShingle Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
Romero P.E.
Public databases
Biodiversity
Data mining
Genetic diversity
Peru
http://purl.org/pe-repo/ocde/ford#3.04.03
title_short Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
title_full Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
title_fullStr Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
title_full_unstemmed Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
title_sort Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]
author Romero P.E.
author_facet Romero P.E.
Castillo-Vilcahuaman C.
author_role author
author2 Castillo-Vilcahuaman C.
author2_role author
dc.contributor.author.fl_str_mv Romero P.E.
Castillo-Vilcahuaman C.
dc.subject.none.fl_str_mv Public databases
topic Public databases
Biodiversity
Data mining
Genetic diversity
Peru
http://purl.org/pe-repo/ocde/ford#3.04.03
dc.subject.es_PE.fl_str_mv Biodiversity
Data mining
Genetic diversity
Peru
dc.subject.ocde.none.fl_str_mv http://purl.org/pe-repo/ocde/ford#3.04.03
description Genetic diversity is an important component of biodiversity, and it is crucial for current efforts to protect and sustainably manage several organisms and habitats. As far as we know, there is only one work describing Peruvian genetic information stored in public databases. We aimed to update this previous work searching in four public databases that stored digital sequence information: Nucleotide, BioProject, PATRIC, BOLD. With this information, we comment on the contribution of Peruvian institutions during recent years. In Nucleotide, the largest database, Bacteria are the most sequenced organisms by Peruvian institutions (70.60%), pathogenic bacteria such as Pasteurella multocida, Neisseria meningitidis, and Vibrio parahaemolyticus were the most abundant. We found no sequence records from the Archaea domain. In BioProject, the most common sequence belongs to Salmonella enterica subsp. enterica serovar Infantis. In PATRIC, a database of pathogenic agents, Mycobacterium tuberculosis and Yersinia pestis had the highest number of entries. Finally, in BOLD, an exclusively Eukaryotic database, Chordata (Aves and Actinopterygii), Angiospermae, and Arthropoda (Insecta, and Arachnida) were the most frequent records. Our results would indicate research preferences of Peruvian institutions, focusing on infectious diseases and some Eukaryotic phyla. Although there has been a significant increase of DNA information submitted by Peruvian institutions since the last report, the genetic diversity reflected in these databases remains inconsistent with the diversity in the country. More efforts must be made to obtain genetic information from more underestimated taxonomic groups and to promote more genetic research in regional Peruvian institutions. © Los autores.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.available.none.fl_str_mv 2024-05-30T23:13:38Z
dc.date.issued.fl_str_mv 2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12390/2399
dc.identifier.doi.none.fl_str_mv https://doi.org/10.15381/RPB.V28I1.17867
dc.identifier.scopus.none.fl_str_mv 2-s2.0-85103044937
url https://hdl.handle.net/20.500.12390/2399
https://doi.org/10.15381/RPB.V28I1.17867
identifier_str_mv 2-s2.0-85103044937
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Revista Peruana de Biologia
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.publisher.none.fl_str_mv Facultad de Ciencias Biologicas, Universidad Nacional Mayor de San Marcos
publisher.none.fl_str_mv Facultad de Ciencias Biologicas, Universidad Nacional Mayor de San Marcos
dc.source.none.fl_str_mv reponame:CONCYTEC-Institucional
instname:Consejo Nacional de Ciencia Tecnología e Innovación
instacron:CONCYTEC
instname_str Consejo Nacional de Ciencia Tecnología e Innovación
instacron_str CONCYTEC
institution CONCYTEC
reponame_str CONCYTEC-Institucional
collection CONCYTEC-Institucional
repository.name.fl_str_mv Repositorio Institucional CONCYTEC
repository.mail.fl_str_mv repositorio@concytec.gob.pe
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spelling Publicationrp01708600rp05681600Romero P.E.Castillo-Vilcahuaman C.2024-05-30T23:13:38Z2024-05-30T23:13:38Z2021https://hdl.handle.net/20.500.12390/2399https://doi.org/10.15381/RPB.V28I1.178672-s2.0-85103044937Genetic diversity is an important component of biodiversity, and it is crucial for current efforts to protect and sustainably manage several organisms and habitats. As far as we know, there is only one work describing Peruvian genetic information stored in public databases. We aimed to update this previous work searching in four public databases that stored digital sequence information: Nucleotide, BioProject, PATRIC, BOLD. With this information, we comment on the contribution of Peruvian institutions during recent years. In Nucleotide, the largest database, Bacteria are the most sequenced organisms by Peruvian institutions (70.60%), pathogenic bacteria such as Pasteurella multocida, Neisseria meningitidis, and Vibrio parahaemolyticus were the most abundant. We found no sequence records from the Archaea domain. In BioProject, the most common sequence belongs to Salmonella enterica subsp. enterica serovar Infantis. In PATRIC, a database of pathogenic agents, Mycobacterium tuberculosis and Yersinia pestis had the highest number of entries. Finally, in BOLD, an exclusively Eukaryotic database, Chordata (Aves and Actinopterygii), Angiospermae, and Arthropoda (Insecta, and Arachnida) were the most frequent records. Our results would indicate research preferences of Peruvian institutions, focusing on infectious diseases and some Eukaryotic phyla. Although there has been a significant increase of DNA information submitted by Peruvian institutions since the last report, the genetic diversity reflected in these databases remains inconsistent with the diversity in the country. More efforts must be made to obtain genetic information from more underestimated taxonomic groups and to promote more genetic research in regional Peruvian institutions. © Los autores.Consejo Nacional de Ciencia, Tecnología e Innovación Tecnológica - ConcytecengFacultad de Ciencias Biologicas, Universidad Nacional Mayor de San MarcosRevista Peruana de Biologiainfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-nd/4.0/Public databasesBiodiversity-1Data mining-1Genetic diversity-1Peru-1http://purl.org/pe-repo/ocde/ford#3.04.03-1Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]info:eu-repo/semantics/articlereponame:CONCYTEC-Institucionalinstname:Consejo Nacional de Ciencia Tecnología e Innovacióninstacron:CONCYTEC20.500.12390/2399oai:repositorio.concytec.gob.pe:20.500.12390/23992024-05-30 16:07:54.517https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_14cbinfo:eu-repo/semantics/closedAccessmetadata only accesshttps://repositorio.concytec.gob.peRepositorio Institucional CONCYTECrepositorio@concytec.gob.pe#PLACEHOLDER_PARENT_METADATA_VALUE##PLACEHOLDER_PARENT_METADATA_VALUE#<Publication xmlns="https://www.openaire.eu/cerif-profile/1.1/" id="ed4e4271-08be-4ae5-ba60-daf951fd4c59"> <Type xmlns="https://www.openaire.eu/cerif-profile/vocab/COAR_Publication_Types">http://purl.org/coar/resource_type/c_1843</Type> <Language>eng</Language> <Title>Data mining of DNA sequences submitted by Peruvian institutions to public genetic databases [Minería de datos de secuencias de DNA enviadas a bases de datos genéticas públicas por instituciones peruanas]</Title> <PublishedIn> <Publication> <Title>Revista Peruana de Biologia</Title> </Publication> </PublishedIn> <PublicationDate>2021</PublicationDate> <DOI>https://doi.org/10.15381/RPB.V28I1.17867</DOI> <SCP-Number>2-s2.0-85103044937</SCP-Number> <Authors> <Author> <DisplayName>Romero P.E.</DisplayName> <Person id="rp01708" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> <Author> <DisplayName>Castillo-Vilcahuaman C.</DisplayName> <Person id="rp05681" /> <Affiliation> <OrgUnit> </OrgUnit> </Affiliation> </Author> </Authors> <Editors> </Editors> <Publishers> <Publisher> <DisplayName>Facultad de Ciencias Biologicas, Universidad Nacional Mayor de San Marcos</DisplayName> <OrgUnit /> </Publisher> </Publishers> <License>https://creativecommons.org/licenses/by-nc-nd/4.0/</License> <Keyword>Public databases</Keyword> <Keyword>Biodiversity</Keyword> <Keyword>Data mining</Keyword> <Keyword>Genetic diversity</Keyword> <Keyword>Peru</Keyword> <Abstract>Genetic diversity is an important component of biodiversity, and it is crucial for current efforts to protect and sustainably manage several organisms and habitats. As far as we know, there is only one work describing Peruvian genetic information stored in public databases. We aimed to update this previous work searching in four public databases that stored digital sequence information: Nucleotide, BioProject, PATRIC, BOLD. With this information, we comment on the contribution of Peruvian institutions during recent years. In Nucleotide, the largest database, Bacteria are the most sequenced organisms by Peruvian institutions (70.60%), pathogenic bacteria such as Pasteurella multocida, Neisseria meningitidis, and Vibrio parahaemolyticus were the most abundant. We found no sequence records from the Archaea domain. In BioProject, the most common sequence belongs to Salmonella enterica subsp. enterica serovar Infantis. In PATRIC, a database of pathogenic agents, Mycobacterium tuberculosis and Yersinia pestis had the highest number of entries. Finally, in BOLD, an exclusively Eukaryotic database, Chordata (Aves and Actinopterygii), Angiospermae, and Arthropoda (Insecta, and Arachnida) were the most frequent records. Our results would indicate research preferences of Peruvian institutions, focusing on infectious diseases and some Eukaryotic phyla. Although there has been a significant increase of DNA information submitted by Peruvian institutions since the last report, the genetic diversity reflected in these databases remains inconsistent with the diversity in the country. More efforts must be made to obtain genetic information from more underestimated taxonomic groups and to promote more genetic research in regional Peruvian institutions. © Los autores.</Abstract> <Access xmlns="http://purl.org/coar/access_right" > </Access> </Publication> -1
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