An EST-derived SNP and SSR genetic linkage map of cassava (Manihot esculenta Crantz).

Autor: Rabbi IY; International Institute of Tropical Agriculture, PMB 5320 Oyo Road, Ibadan, Nigeria. I.Rabbi@cgiar.org, Kulembeka HP, Masumba E, Marri PR, Ferguson M
Jazyk: angličtina
Zdroj: TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik [Theor Appl Genet] 2012 Jul; Vol. 125 (2), pp. 329-42. Date of Electronic Publication: 2012 Mar 15.
DOI: 10.1007/s00122-012-1836-4
Abstrakt: Cassava (Manihot esculenta Crantz) is one of the most important food security crops in the tropics and increasingly being adopted for agro-industrial processing. Genetic improvement of cassava can be enhanced through marker-assisted breeding. For this, appropriate genomic tools are required to dissect the genetic architecture of economically important traits. Here, a genome-wide SNP-based genetic map of cassava anchored in SSRs is presented. An outbreeder full-sib (F1) family was genotyped on two independent SNP assay platforms: an array of 1,536 SNPs on Illumina's GoldenGate platform was used to genotype a first batch of 60 F1. Of the 1,358 successfully converted SNPs, 600 which were polymorphic in at least one of the parents and was subsequently converted to KBiosciences' KASPar assay platform for genotyping 70 additional F1. High-precision genotyping of 163 informative SSRs using capillary electrophoresis was also carried out. Linkage analysis resulted in a final linkage map of 1,837 centi-Morgans (cM) containing 568 markers (434 SNPs and 134 SSRs) distributed across 19 linkage groups. The average distance between adjacent markers was 3.4 cM. About 94.2% of the mapped SNPs and SSRs have also been localized on scaffolds of version 4.1 assembly of the cassava draft genome sequence. This more saturated genetic linkage map of cassava that combines SSR and SNP markers should find several applications in the improvement of cassava including aligning scaffolds of the cassava genome sequence, genetic analyses of important agro-morphological traits, studying the linkage disequilibrium landscape and comparative genomics.
Databáze: MEDLINE