Diploid Genome Assembly of the Wine Grape Carménère

G3: Genes, Genomes, Genetics

Andrea Minio^1¹  Mélanie Massonnet^1² 

[1] Department of Viticulture and Enology, University of California Davis, Davis, CA 95618^1;University of California-Davis Chile Life Sciences Innovation Center, Providencia, Chile^2

关键词: genome assembly;    heterozygosity;    haplotype phasing;    structural variation;    Vitis vinifera;   

DOI  :  10.1534/g3.119.400030

学科分类：生物科学（综合）

来源: Genetics Society of America

【 摘 要 】

In this genome report, we describe the sequencing and annotation of the genome of the wine grape Carménère (clone 02, VCR-702). Long considered extinct, this old French wine grape variety is now cultivated mostly in Chile where it was imported in the 1850s just before the European phylloxera epidemic. Genomic DNA was sequenced using Single Molecule Real Time technology and assembled with FALCON-Unzip, a diploid-aware assembly pipeline. To optimize the contiguity and completeness of the assembly, we tested about a thousand combinations of assembly parameters, sequencing coverage, error correction and repeat masking methods. The final scaffolds provide a complete and phased representation of the diploid genome of this wine grape. Comparison of the two haplotypes revealed numerous heterozygous variants, including loss-of-function ones, some of which in genes associated with polyphenol biosynthesis. Comparisons with other publicly available grape genomes and transcriptomes showed the impact of structural variation on gene content differences between Carménère and other wine grape cultivars. Among the putative cultivar-specific genes, we identified genes potentially involved in aroma production and stress responses. The genome assembly of Carménère expands the representation of the genomic variability in grapes and will enable studies that aim to understand its distinctive organoleptic and agronomical features and assess its still elusive extant genetic variability. A genome browser for Carménère, its annotation, and an associated blast tool are available at http://cantulab.github.io/data .

【 授权许可】

CC BY