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Genetic diversity and linkage disequilibrium in the Argentine public maize inbred line collection

Published online by Cambridge University Press:  10 June 2016

Sofía E. Olmos*
Affiliation:
Instituto Nacional de Tecnología Agropecuaria EEA Pergamino, Ruta 32 Km.4,5 CP 2700. Pergamino Buenos Aires, Argentina
Verónica V. Lia
Affiliation:
Instituto de Biotecnología, CICVyA, INTA, Castelar, Los Reseros y Las Cabañas s/n, B1686ICG Hurlingham, Buenos Aires, Argentina
Guillermo H. Eyhérabide
Affiliation:
Instituto Nacional de Tecnología Agropecuaria EEA Pergamino, Ruta 32 Km.4,5 CP 2700. Pergamino Buenos Aires, Argentina
*
*Corresponding author. E-mail: [email protected]

Abstract

Knowledge of linkage disequilibrium (LD) patterns is considered a prerequisite for effective association mapping studies. However, no LD analysis in the Argentine public temperate maize collection has been reported to date. In this study, a panel of 111 temperate maize inbreds genotyped at 74 single sequence repeats (SSRs) loci was used to assess LD, genetic diversity and population structure to evaluate the suitability of the panel for association mapping. Mini-core sets were also designed for in-depth phenotyping and allele mining purposes. The panel consisted of: (1) locally developed orange flint germplasm; (2) temperate inbred lines with Iowa Stiff Stalk Synthetic background; and (3) eight historic flint lines, some of them from the Cuarentín race. As a result, four subpopulations were defined. Joint analysis of population structure and combining ability allowed identifying two main heterotic patterns. High molecular diversity, a low extent of LD and a high ratio of linked to unlinked SSR loci pairs in significant LD were detected indicating the suitability of the entire collection for association mapping. The fact that the LD extent in the mini-core sets was similar to that observed in the entire collection and that only a small percentage of allelic richness was reduced suggests that these mini-core sets are suitable to capture diversity, exploit phenotypic variance and discover useful variants representative of the entire collection.

Type
Research Article
Copyright
Copyright © NIAB 2016 

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