Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1125253
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dc.contributor.authorSANTANA, M. F.
dc.contributor.authorZAMBOLIM, E. M.
dc.contributor.authorCAIXETA, E. T.
dc.contributor.authorZAMBOLIM, L.
dc.date.accessioned2020-10-08T09:13:15Z-
dc.date.available2020-10-08T09:13:15Z-
dc.date.created2020-10-02
dc.date.issued2018
dc.identifier.citationTropical Plant Pathology, v. 43, n. 5 , p. 473-476, 2018.
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1125253-
dc.descriptionThe biotrophic fungus Hemileia vastatrix Berk & Broome is the most destructive coffee pathogen in Brazil. Better understanding of the population genetics of H. vastatrix would provide important insights into its biology, epidemiology, and evolutionary potential. The aim of the present study was to assess the genetic diversity and population structure of H. vastatrix in Minas Gerais (Brazil) using ribosomal DNA (rDNA) sequences. The analyzes were performed by sequencing the internal transcribed spacers ITS1 and ITS2, and the 5.8S gene from 15 H. vastatrix populations. Of the 82 sequences obtained, 68 ribotypes were found, as defined by 108 nucleotide substitutions and five indels. Of the 68 ribotypes, 64 were exclusively found in one population. Analysis of molecular variance (AMOVA) and FST fixation index indicated moderate genetic differentiation among field populations, which were divided according to geographic origin. In conclusion, analysis of the nuclear ITS1?5.8S-ITS2 rDNA sequence diversity in the H. vastatrix population of Minas Gerais revealed that most ribotypes are restricted to a single population and that there exists greater genetic diversity within than among field populations.
dc.language.isoeng
dc.rightsopenAccesseng
dc.subjectCoffee rust
dc.subjectITS polymorphism
dc.titlePopulation genetic structure of the coffee pathogen Hemileia vastatrix in Minas Gerais, Brazil.
dc.typeArtigo de periódico
dc.subject.thesagroCoffea Arábica
dc.subject.nalthesaurusPopulation structure
riaa.ainfo.id1125253
riaa.ainfo.lastupdate2020-10-07
dc.identifier.doihttps://doi.org/10.1007/s40858-018-0246-9
dc.contributor.institutionMateus F. Santana, Universidade Federal de Viçosa; Eunize M. Zambolim, Universidade Federal de Viçosa; EVELINE TEIXEIRA CAIXETA MOURA, CNPCa; Laércio Zambolim, Universidade Federal de Viçosa.
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