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]
Descripción del Articulo
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...
Autores: | , |
---|---|
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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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 |
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CONCYTEC-Institucional |
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Repositorio Institucional CONCYTEC |
repository.mail.fl_str_mv |
repositorio@concytec.gob.pe |
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1839175809424687104 |
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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13.448642 |
Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).