Progress towards a reference genome for sunflower

Author:

Kane N.C.1,Gill N.1,King M.G.1,Bowers J.E.2,Berges H.3,Gouzy J.4,Bachlava E.5,Langlade N.B.4,Lai Z.6,Stewart M.1,Burke J.M.2,Vincourt P.4,Knapp S.J.5,Rieseberg L.H.7

Affiliation:

1. Department of Botany, The University of British Columbia, 3529-6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada.

2. Department of Plant Biology, University of Georgia, 2502 Miller Plant Sciences, Athens, GA 30602, USA.

3. Institut national de la recherche agronomique  – Centre national de ressources génomique végétales, chemin de Borde Rouge, B.P. 52627, 31326 Castanet Tolosan, France.

4. Institut national de la recherche agronomique – Centre national de la recherche scientifique, Laboratoire des interactions plantes micro-organismes, chemin de Borde Rouge, B.P. 52627, 31326 Castanet Tolosan, France.

5. Monsanto Vegetable Seeds, 37437 State Highway 16, Woodland, CA 95695, USA.

6. Center for Genomics and Bioinformatics, Indiana University, 915 East Third Street, Bloomington, IN 47405, USA.

7. Department of Botany, The University of British Columbia, 3529-6270 University Boulevard, Vancouver, BC V6T 1Z4, Canada, and Department of Biology, Indiana University, 1001 East Third Street, Bloomington, IN 47405, USA.

Abstract

The Compositae is one of the largest and most economically important families of flowering plants and includes a diverse array of food crops, horticultural crops, medicinals, and noxious weeds. Despite its size and economic importance, there is no reference genome sequence for the Compositae, which impedes research and improvement efforts. We report on progress toward sequencing the 3.5 Gb genome of cultivated sunflower ( Helianthus annuus ), the most important crop in the family. Our sequencing strategy combines whole-genome shotgun sequencing using the Solexa and 454 platforms with the generation of high-density genetic and physical maps that serve as scaffolds for the linear assembly of whole-genome shotgun sequences. The performance of this approach is enhanced by the construction of a sequence-based physical map, which provides unique sequence-based tags every 5–6 kb across the genome. Thus far, our physical map covers ∼85% of the sunflower genome, and we have generated ∼80× genome coverage with Solexa reads and 15.5× with 454 reads. Preliminary analyses indicated that ∼78% of the sunflower genome consists of repetitive sequences. Nonetheless, ∼76% of contigs >5 kb in size can be assigned to either the physical or genetic map or to both, suggesting that our approach is likely to deliver a highly accurate and contiguous reference genome for sunflower.

Publisher

Canadian Science Publishing

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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