Optimal use of SSR markers for varietal identification of upland cotton

Abstract: The objective of this work was to identify polymorphic simple sequence repeat (SSR) markers for varietal identification of cotton and evaluation of the genetic distance among the varieties. Initially, 92 SSR markers were genotyped in 20 Brazilian cotton cultivars. Of this total, 38 loci we...

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Main Authors: Guilherme da Silva Pereira, Ana Luíza Ramos Cazé, Michelle Garcia da Silva, Vanessa Cavalcante Almeida, Fernanda Oliveira da Cunha Magalhães, João Luís da Silva Filho, Paulo Augusto Vianna Barroso, Lúcia Vieira Hoffmann
Format: Article
Language:English
Published: Embrapa Informação Tecnológica 2015-07-01
Series:Pesquisa Agropecuária Brasileira
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-204X2015000700571&lng=en&tlng=en
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Summary:Abstract: The objective of this work was to identify polymorphic simple sequence repeat (SSR) markers for varietal identification of cotton and evaluation of the genetic distance among the varieties. Initially, 92 SSR markers were genotyped in 20 Brazilian cotton cultivars. Of this total, 38 loci were polymorphic, two of which were amplified by one primer pair; the mean number of alleles per locus was 2.2. The values of polymorphic information content (PIC) and discrimination power (DP) were, on average, 0.374 and 0.433, respectively. The mean genetic distance was 0.397 (minimum of 0.092 and maximum of 0.641). A panel of 96 varieties originating from different regions of the world was assessed by 21 polymorphic loci derived from 17 selected primer pairs. Among these varieties, the mean genetic distance was 0.387 (minimum of 0 and maximum of 0.786). The dendrograms generated by the unweighted pair group method with arithmetic average (UPGMA) did not reflect the regions of Brazil (20 genotypes) or around the world (96 genotypes), where the varieties or lines were selected. Bootstrap resampling shows that genotype identification is viable with 19 loci. The polymorphic markers evaluated are useful to perform varietal identification in a large panel of cotton varieties and may be applied in studies of the species diversity.
ISSN:1678-3921