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Identification of duplicates in cassava germplasm banks based on single-nucleotide polymorphisms (SNPs)

Albuquerque, Hilçana Ylka Gonçalves de; Oliveira, Eder Jorge de; Brito, Ana Carla; Andrade, Luciano Rogério Braatz de; Carmo, Cátia Dias do; Morgante, Carolina Vianna; Vieira, Eduardo Alano; Moura, Elisa Ferreira; Faleiro, Fábio Gelape.
Sci. agric.; 76(4): 328-336, July-Aug. 2019. tab, graf
Artigo em Inglês | VETINDEXEXPRESS | ID: vti-740887
Genetic redundancy in cassava (Manihot esculenta Crantz) presents a challenge to efficient management of genetic resources. This study aimed to identify and define the genetic structure of duplicates in cassava germplasm from various Embrapa research units, using single-nucleotide polymorphism (SNP) markers. We evaluated 2,371 accessions with 20,712 SNPs. The identification of duplicates was performed based on multilocus genotypes (MLG), adopting a maximum genetic distance threshold of 0.05. The population structure was defined based on discriminant analysis of principal components (DAPC). A total of 1,757 unique and 614 duplicate accessions were identified. The redundancy of the collections ranged from 17 % (Belém, PA Brazil) to 39 % (Petrolina, PE Brazil), with an average of 21 %. This redundancy between different research units is probably due to the historical sharing of accessions, as well as collections carried out in the same region, or even to the intense germplasm exchange between farmers with different genotype names. In terms of genetic structure, the 250 principal components explained 88 % of the genetic variation of the SNP markers and defined the hierarchical structure of the duplicate cassava germplasm in 12 groups. Since heterotic groups have not yet been identified for cassava, crosses between accessions of the 12 DAPC groups may be promising. All MLGs were allocated within the same DAPC group, corroborating duplicate analyses yet still revealing high variability between groups that were quite distinct based on the first two discriminant functions. Our results contribute to optimizing the conservation of genetic resources, together with understanding diversity and its use in crop improvement.(AU)
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