Mapping quantitative trait loci for kernel composition in almond

BMC Genetics

Research Article

Rafel Socias i Company¹  Àngel Fernández i Martí²  Carolina Font i Forcada³ 

[1] Unidad de Fruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain;Unidad de Fruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain;Laboratorio de Mejora Genética y Biología Molecular, Parque Científico Tecnológico de Aula Dei (PCTAD), Av. Montañana 930, 50059, Zaragoza, Spain;Unidad de Fruticultura, Centro de Investigación y Tecnología Agroalimentaria de Aragón (CITA), Av. Montañana 930, 50059, Zaragoza, Spain;Unidad de Pomología, Estación Experimental de Aula Dei (EEAD-CSIC), PO Box 13034, 50080, Zaragoza, Spain;

关键词: Almond;    Prunus amygdalus;    Kernel composition;    Quality;    SSRs;    QTL;    Genetic map;    Breeding;   

DOI  :  10.1186/1471-2156-13-47

 received in 2012-02-15, accepted in 2012-06-04,  发布年份 2012

来源: Springer

【 摘 要 】

BackgroundAlmond breeding is increasingly taking into account kernel quality as a breeding objective. Information on the parameters to be considered in evaluating almond quality, such as protein and oil content, as well as oleic acid and tocopherol concentration, has been recently compiled. The genetic control of these traits has not yet been studied in almond, although this information would improve the efficiency of almond breeding programs.ResultsA map with 56 simple sequence repeat or microsatellite (SSR) markers was constructed for an almond population showing a wide range of variability for the chemical components of the almond kernel. A total of 12 putative quantitative trait loci (QTL) controlling these chemical traits have been detected in this analysis, corresponding to seven genomic regions of the eight almond linkage groups (LG). Some QTL were clustered in the same region or shared the same molecular markers, according to the correlations already found between the chemical traits. The logarithm of the odds (LOD) values for any given trait ranged from 2.12 to 4.87, explaining from 11.0 to 33.1 % of the phenotypic variance of the trait.ConclusionsThe results produced in the study offer the opportunity to include the new genetic information in almond breeding programs. Increases in the positive traits of kernel quality may be looked for simultaneously whenever they are genetically independent, even if they are negatively correlated. We have provided the first genetic framework for the chemical components of the almond kernel, with twelve QTL in agreement with the large number of genes controlling their metabolism.

【 授权许可】

Unknown   
© Font i Forcada et al.; licensee BioMed Central Ltd. 2012. This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.