Diversity Arrays Technology effectively reveals DNA polymorphism in a large and complex genome of sugarcane

Heller-Uszynska Katarzyna, Uszynski Grzegorz, Huttner Eric, Evers Margaret, Carlig Jason, Caig Vanessa, Aitken Karen S., Jackson Phil A., Piperidis George, Cox Mike, Gilmour Ross, D'Hont Angélique, Butterfield Mike, Glaszmann Jean-Christophe, Kilian Andrzej. 2011. Diversity Arrays Technology effectively reveals DNA polymorphism in a large and complex genome of sugarcane. Molecular Breeding, 8 (1) : 37-55.

https://doi.org/10.1007/s11032-010-9460-y

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Quartile : Q1, Sujet : HORTICULTURE / Quartile : Q1, Sujet : AGRONOMY / Quartile : Q1, Sujet : PLANT SCIENCES / Quartile : Q2, Sujet : GENETICS & HEREDITY

Résumé : Diversity Arrays Technology (DArT) provides whole genome profiling for hundreds to thousands of polymorphic markers in a single assay using a high-throughput microarray platform. The presented work aimed to establish DArT genotyping for the genetically challenging genome of sugarcane. Due to the genome complexity of this sugar-producing crop of high economic importance, an application of DArT genotyping to this species required extensive testing and optimization. As the method of genome complexity reduction determines the efficiency of polymorphism identification in DArT, various approaches and several methods were tested, in order to establish the most optimal. The sugarcane DArT markers generated with these established methods identified high genetic differentiation of sugarcane ancestral species from modern cultivars, in agreement with the data available for other types of molecular markers for this crop. The majority of sugarcane DArT markers segregated in a Mendelian fashion and were readily incorporated into the framework genetic map. As the DArT markers are sequence-ready genomic clones, we sequenced 384 clones and found that one-third of sequenced markers came from the transcribed portion of the sugarcane genome. The presented results further validate the potential of DArT technology in providing cost-effective genetic profiles for plants, irrespective of their genome complexity, for effective applications in molecularassisted breeding, diversity analysis or genetic identity testing.

Mots-clés Agrovoc : Saccharum officinarum

Mots-clés géographiques Agrovoc : Australie

Classification Agris : F30 - Génétique et amélioration des plantes

Champ stratégique Cirad : Axe 1 (2005-2013) - Intensification écologique

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