ISHS Contact


ISHS Acta Horticulturae 1111: XXIX International Horticultural Congress on Horticulture: Sustaining Lives, Livelihoods and Landscapes (IHC2014): IV International Symposium on Papaya, VIII International Pineapple Symposium, and International Symposium on Mango

The application of DArTseq technology to pineapple

Authors:   A. Kilian, G. Sanewski, L. Ko
Keywords:   Ananas comosus (L.) Merr., polymorphism, whole-genome profiling, complexity reduction, next generation sequencing, SNP markers, DArT
DOI:   10.17660/ActaHortic.2016.1111.27
DArTseq technology is potentially the most appropriate system to discover hundreds of polymorphic genomic loci, scoring thousands of unique genomic-wide DNA fragments in one single experiment, without requiring existing DNA sequence information. The DArT complexity reduction approach in combination with Illumina short read sequencing (Hiseq2000) was applied. To test the application of DArTseq technology in pineapple, a reference population of 13 Ananas genotypes from primitive wild accessions to modern cultivars was used. In a comparison of 3 systems, the combination of restriction enzymes PstI and MseI performed the best producing 18,900 DArT markers and close to 20,000 SNPs. Based on these markers genetic relationships between the samples were identified and a dendrogram was generated. The topography of the tree corresponds with our understanding of the genetic relationships between the genotypes. Importantly, the replicated samples of all genotypes have a dissimilarity of close to 0.0 and occupy the same positions on the tree, confirming high reproducibility of the markers detected. Eventually it is planned that molecular markers will be identified that are associated with resistance to Phytophthora cinnamomi (Pc), the most economically important pathogen of pineapple in Australia, as genetic resistance is known to exist within the Ananas. Marker assisted selection can then be utilized in a pineapple breeding program to develop cultivars resistant to Pc.

Download Adobe Acrobat Reader (free software to read PDF files)

1111_26     1111     1111_28

URL      Hosted by KU Leuven      © ISHS