Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker

Detalhes bibliográficos
Autor(a) principal: Silva, G. F.
Data de Publicação: 2014
Outros Autores: Paixão, R. D.V., Queiroz, Casley B., Santana, Mateus Ferreira, Souza, A. S., Sousa, Nelcimar Reis, Hanada, Rogério Eiji, Gasparotto, Luadir
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/14988
Resumo: The Enterobacterial repetitive intergenic consensus (ERIC) marker was used to analyze the genetic variability of Mycosphaerella fijiensis, the causative agent of Black Sigatoka disease in banana plants. A total of 123 isolates were used, which were divided into populations based on their original hosts and collection sites in Brazil. A total of 9 loci were amplified, 77.8% of which were found to be polymorphic. The genetic diversity found in the population was 0.20. Analysis of molecular variance (AMOVA) demonstrated that the highest level of genetic variation is within populations. Cluster analysis revealed three main groups in Brazil, with no correlation between geographic and genetic distance. © FUNPEC-RP
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spelling Silva, G. F.Paixão, R. D.V.Queiroz, Casley B.Santana, Mateus FerreiraSouza, A. S.Sousa, Nelcimar ReisHanada, Rogério EijiGasparotto, Luadir2020-05-07T14:00:21Z2020-05-07T14:00:21Z2014https://repositorio.inpa.gov.br/handle/1/1498810.4238/2014.September.26.7The Enterobacterial repetitive intergenic consensus (ERIC) marker was used to analyze the genetic variability of Mycosphaerella fijiensis, the causative agent of Black Sigatoka disease in banana plants. A total of 123 isolates were used, which were divided into populations based on their original hosts and collection sites in Brazil. A total of 9 loci were amplified, 77.8% of which were found to be polymorphic. The genetic diversity found in the population was 0.20. Analysis of molecular variance (AMOVA) demonstrated that the highest level of genetic variation is within populations. Cluster analysis revealed three main groups in Brazil, with no correlation between geographic and genetic distance. © FUNPEC-RPVolume 13, Número 3, Pags. 7698-7707Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBrasilCluster AnalysisCorrelation AnalysisDna ExtractionEnterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction MarkerFungus IsolationGene LocusGenetic AnalysisGenetic MarkerPolymorphism, GeneticGenetic VariabilityHaplotypeMicrosatellite MarkerMycosphaerellaMycosphaerella FijiensisPhotosynthesisPolymorphism, Restriction Fragment LengthPolymorphism, Single NucleotideTransposonAscomycetesClassificationGeneticsNucleotide SequencePolymerase Chain ReactionProceduresSpecies DifferenceMusaMycosphaerella FijiensisPseudocercosporaGenetic MarkerPrimer DnaAscomycotaBase SequenceBrasilDna PrimersGenetic MarkersPolymerase Chain ReactionSpecies SpecificityGenetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR markerinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGenetics and Molecular Researchengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfapplication/pdf358403https://repositorio.inpa.gov.br/bitstream/1/14988/1/artigo-inpa.pdfd9122a405df2e3d494c31ef023a82b8aMD51CC-LICENSElicense_rdfapplication/octet-stream914https://repositorio.inpa.gov.br/bitstream/1/14988/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD521/149882020-07-14 10:30:32.509oai:repositorio:1/14988Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T14:30:32Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
title Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
spellingShingle Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
Silva, G. F.
Brasil
Cluster Analysis
Correlation Analysis
Dna Extraction
Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction Marker
Fungus Isolation
Gene Locus
Genetic Analysis
Genetic Marker
Polymorphism, Genetic
Genetic Variability
Haplotype
Microsatellite Marker
Mycosphaerella
Mycosphaerella Fijiensis
Photosynthesis
Polymorphism, Restriction Fragment Length
Polymorphism, Single Nucleotide
Transposon
Ascomycetes
Classification
Genetics
Nucleotide Sequence
Polymerase Chain Reaction
Procedures
Species Difference
Musa
Mycosphaerella Fijiensis
Pseudocercospora
Genetic Marker
Primer Dna
Ascomycota
Base Sequence
Brasil
Dna Primers
Genetic Markers
Polymerase Chain Reaction
Species Specificity
title_short Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
title_full Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
title_fullStr Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
title_full_unstemmed Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
title_sort Genetic diversity of mycosphaerella fijiensis in brazil analyzed using an ERIC-PCR marker
author Silva, G. F.
author_facet Silva, G. F.
Paixão, R. D.V.
Queiroz, Casley B.
Santana, Mateus Ferreira
Souza, A. S.
Sousa, Nelcimar Reis
Hanada, Rogério Eiji
Gasparotto, Luadir
author_role author
author2 Paixão, R. D.V.
Queiroz, Casley B.
Santana, Mateus Ferreira
Souza, A. S.
Sousa, Nelcimar Reis
Hanada, Rogério Eiji
Gasparotto, Luadir
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Silva, G. F.
Paixão, R. D.V.
Queiroz, Casley B.
Santana, Mateus Ferreira
Souza, A. S.
Sousa, Nelcimar Reis
Hanada, Rogério Eiji
Gasparotto, Luadir
dc.subject.eng.fl_str_mv Brasil
Cluster Analysis
Correlation Analysis
Dna Extraction
Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction Marker
Fungus Isolation
Gene Locus
Genetic Analysis
Genetic Marker
Polymorphism, Genetic
Genetic Variability
Haplotype
Microsatellite Marker
Mycosphaerella
Mycosphaerella Fijiensis
Photosynthesis
Polymorphism, Restriction Fragment Length
Polymorphism, Single Nucleotide
Transposon
Ascomycetes
Classification
Genetics
Nucleotide Sequence
Polymerase Chain Reaction
Procedures
Species Difference
Musa
Mycosphaerella Fijiensis
Pseudocercospora
Genetic Marker
Primer Dna
Ascomycota
Base Sequence
Brasil
Dna Primers
Genetic Markers
Polymerase Chain Reaction
Species Specificity
topic Brasil
Cluster Analysis
Correlation Analysis
Dna Extraction
Enterobacterial Repetitive Intergenic Consensus Polymerase Chain Reaction Marker
Fungus Isolation
Gene Locus
Genetic Analysis
Genetic Marker
Polymorphism, Genetic
Genetic Variability
Haplotype
Microsatellite Marker
Mycosphaerella
Mycosphaerella Fijiensis
Photosynthesis
Polymorphism, Restriction Fragment Length
Polymorphism, Single Nucleotide
Transposon
Ascomycetes
Classification
Genetics
Nucleotide Sequence
Polymerase Chain Reaction
Procedures
Species Difference
Musa
Mycosphaerella Fijiensis
Pseudocercospora
Genetic Marker
Primer Dna
Ascomycota
Base Sequence
Brasil
Dna Primers
Genetic Markers
Polymerase Chain Reaction
Species Specificity
description The Enterobacterial repetitive intergenic consensus (ERIC) marker was used to analyze the genetic variability of Mycosphaerella fijiensis, the causative agent of Black Sigatoka disease in banana plants. A total of 123 isolates were used, which were divided into populations based on their original hosts and collection sites in Brazil. A total of 9 loci were amplified, 77.8% of which were found to be polymorphic. The genetic diversity found in the population was 0.20. Analysis of molecular variance (AMOVA) demonstrated that the highest level of genetic variation is within populations. Cluster analysis revealed three main groups in Brazil, with no correlation between geographic and genetic distance. © FUNPEC-RP
publishDate 2014
dc.date.issued.fl_str_mv 2014
dc.date.accessioned.fl_str_mv 2020-05-07T14:00:21Z
dc.date.available.fl_str_mv 2020-05-07T14:00:21Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/14988
dc.identifier.doi.none.fl_str_mv 10.4238/2014.September.26.7
url https://repositorio.inpa.gov.br/handle/1/14988
identifier_str_mv 10.4238/2014.September.26.7
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 13, Número 3, Pags. 7698-7707
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Genetics and Molecular Research
publisher.none.fl_str_mv Genetics and Molecular Research
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/14988/1/artigo-inpa.pdf
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