BIO Web of Conferences
Volume 7, 201639th World Congress of Vine and Wine
|Number of page(s)||6|
|Published online||26 October 2016|
Genomics technologies to study structural variations in the grapevine genome
1 Consiglio per la ricerca in agricoltura e l'analisi dell'economia agraria (CREA), Center for viticulture and enology, 70010 Turi (BA), Italy
2 Università degli Studi di Bari “Aldo Moro”, Dipartimento di Biologia, 70126 Bari, Italy
3 Bilkent University, Department of Computer Engineering, TR-06800, Bilkent, Ankara, Turkey
Grapevine is one of the most important crop plants in the world. Recently there was great expansion of genomics resources about grapevine genome, thus providing increasing efforts for molecular breeding. Current cultivars display a great level of inter-specific differentiation that needs to be investigated to reach a comprehensive understanding of the genetic basis of phenotypic differences, and to find responsible genes selected by cross breeding programs. While there have been significant advances in resolving the pattern and nature of single nucleotide polymorphisms (SNPs) on plant genomes, few data are available on copy number variation (CNV). Furthermore association between structural variations and phenotypes has been described in only a few cases. We combined high throughput biotechnologies and bioinformatics tools, to reveal the first inter-varietal atlas of structural variation (SV) for the grapevine genome. We sequenced and compared four table grape cultivars with the Pinot noir inbred line PN40024 genome as the reference. We detected roughly 8% of the grapevine genome affected by genomic variations. Taken into account phenotypic differences existing among the studied varieties we performed comparison of SVs among them and the reference and next we performed an in-depth analysis of gene content of polymorphic regions. This allowed us to identify genes showing differences in copy number as putative functional candidates for important traits in grapevine cultivation.
© The Authors, published by EDP Sciences 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/).
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