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Genetic diversity of Mycosphaerella fijiensis in Brazil analyzed using an ERIC-PCR marker.
Silva, G F; Paixão, R D V; Queiroz, C B; Santana, M F; Souza, A; Sousa, N R; Hanada, R E; Gasparotto, L.
Affiliation
  • Silva GF; Laboratório de Biologia Molecular, Embrapa Amazônia Ocidental, Manaus, AM, Brasil gilvan.silva@embrapa.br.
  • Paixão RD; Laboratório de Biologia Molecular, Embrapa Amazônia Ocidental, Manaus, AM, Brasil.
  • Queiroz CB; Laboratório de Genética Molecular, Universidade Federal de Viçosa, Viçosa, MG, Brasi.
  • Santana MF; Laboratório de Genética Molecular, Universidade Federal de Viçosa, Viçosa, MG, Brasi.
  • Souza A; Laboratório de Biologia Molecular, Embrapa Amazônia Ocidental, Manaus, AM, Brasil.
  • Sousa NR; Laboratório de Biologia Molecular, Embrapa Amazônia Ocidental, Manaus, AM, Brasil.
  • Hanada RE; Laboratório de Fitopatologia, Instituto Nacional de Pesquisas da Amazônia, Manaus, AM, Brasil.
  • Gasparotto L; Laboratório de Fitopatologia, Embrapa Amazônia Ocidental, Manaus, AM, Brasil.
Genet Mol Res ; 13(3): 7698-707, 2014 Sep 26.
Article in En | MEDLINE | ID: mdl-25299083
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.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ascomycota / Genetic Markers / Polymerase Chain Reaction Country/Region as subject: America do sul / Brasil Language: En Journal: Genet Mol Res Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2014 Document type: Article Affiliation country: Brazil Country of publication: Brazil
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Ascomycota / Genetic Markers / Polymerase Chain Reaction Country/Region as subject: America do sul / Brasil Language: En Journal: Genet Mol Res Journal subject: BIOLOGIA MOLECULAR / GENETICA Year: 2014 Document type: Article Affiliation country: Brazil Country of publication: Brazil