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^: *https://onlinelibrary.wiley.com/loi/14390434 (https://onlinelibrary.wiley.com/loi/14390434)
^: Lopes da Silva L.; Dorea Braganca C.A.; Fortes Ferreira C.; Diamantino M.S.A.S.; Santos de Oliveira S.A.
^: Differentiation of lineages within "Colletotrichum gloeosporioides s.l." associated with cassava anthracnose disease by BOX- and ERIC-PCRs [ "Colletotrichum gloeosporioides s.l.", , BOX- ERIC-PCR. ()]
^: Journal of Phytopathology, 2019; Vol.167,N 4. - P. 218-229
^: 2019
^: Bibliogr.:p.228-229
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^: Several molecular techniques have been used to differentiate species or genetic lineages of microorganisms prior to sequencing. Among them, BOX- and ERIC-PCRs may provide specific banding patterns for different species, allowing its differentiation. Therefore, the objective of this study was to evaluate these techniques as a tool for differentiation of phylogenetic lineages belonging to the Colletotrichum gloeosporioides species complex associated with cassava anthracnose disease. Sets of BOX- and ERIC-PCR primers were used to assess the differentiation of lineages belonging to the complex with 81 C. gloeosporioides sensu lato (s.l.) isolates from different cassava producing regions. Some were identified by sequencing, such as Colletotrichum fructicola, Colletotrichum tropicale, C. gloeosporioides s.s, Colletotrichum theobromicola, Colletotrichum siamense, Colletotrichum brevisporum and Colletotrichum sichuanensis. The primers were able to amplify DNA fragments from all isolates. The ERIC-PCR presented a wider range of banding patterns in comparison to BOX-PCR, providing better differentiation of the individuals, as well as a higher correlation with the phylogenetic data was obtained by ERIC-PCR and the combined data set for "BOX-/ERIC-PCRs," inferred by Mantel test. However, the use of concatenated data (BOX-/ERIC-PCRs) reduced the discriminatory capacity presented by ERIC-PCR alone, probably due to the lowest resolution of BOX-PCR. Therefore, ERIC-PCR technique enabled efficient differentiation of isolates belonging to the C. gloeosporioides complex and can be used to analyse multiple isolates in a collection and also being an important tool as a guide in the decision-making process prior to sequencing. Based on this methodology, it was possible to identify two new species associated with cassava anthracnose disease, C. brevisporum and C. sichuanensis, being the first report of these two species associated with cassava anthracnose disease in Brazil. aref1

^TRN: 1912561
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