Dataset Information

De novo phased assembly of the Vitis riparia grape genome.

ABSTRACT: Grapevine is one of the most important fruit species in the world. In order to better understand genetic basis of traits variation and facilitate the breeding of new genotypes, we sequenced, assembled, and annotated the genome of the American native Vitis riparia, one of the main species used worldwide for rootstock and scion breeding. A total of 164?Gb raw DNA reads were obtained from Vitis riparia resulting in a 225X depth of coverage. We generated a genome assembly of the V. riparia grape de novo using the PacBio long-reads that was phased with the 10x Genomics Chromium linked-reads. At the chromosome level, a 500?Mb genome was generated with a scaffold N50 size of 1?Mb. More than 34% of the whole genome were identified as repeat sequences, and 37,207 protein-coding genes were predicted. This genome assembly sets the stage for comparative genomic analysis of the diversification and adaptation of grapevine and will provide a solid resource for further genetic analysis and breeding of this economically important species.

SUBMITTER: Girollet N

PROVIDER: S-EPMC6642119 | biostudies-literature | 2019 Jul

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

De novo phased assembly of the Vitis riparia grape genome.

Girollet Nabil N Rubio Bernadette B Lopez-Roques Céline C Valière Sophie S Ollat Nathalie N Bert Pierre-François PF

Scientific data 20190719 1

Grapevine is one of the most important fruit species in the world. In order to better understand genetic basis of traits variation and facilitate the breeding of new genotypes, we sequenced, assembled, and annotated the genome of the American native Vitis riparia, one of the main species used worldwide for rootstock and scion breeding. A total of 164 Gb raw DNA reads were obtained from Vitis riparia resulting in a 225X depth of coverage. We generated a genome assembly of the V. riparia grape de ...[more]

PMID: 31324816

Similar Datasets

Project description:MotivationThere are very few methods for de novo genome assembly based on the overlap graph approach. It is considered as giving more exact results than the so-called de Bruijn graph approach but in much greater time and of much higher memory usage. It is not uncommon that assembly methods involving the overlap graph model are not able to successfully compute greater data sets, mainly due to memory limitation of a computer. This was the reason for developing in last decades mainly de Bruijn-based assembly methods, fast and fairly accurate. However, the latter methods can fail for longer or more repetitive genomes, as they decompose reads to shorter fragments and lose a part of information. An efficient assembler for processing big data sets and using the overlap graph model is still looked out.ResultsWe propose a new genome-scale de novo assembler based on the overlap graph approach, designed for short-read sequencing data. The method, ALGA, incorporates several new ideas resulting in more exact contigs produced in short time. Among these ideas we have creation of a sparse but quite informative graph, reduction of the graph including a procedure referring to the problem of minimum spanning tree of a local subgraph, and graph traversal connected with simultaneous analysis of contigs stored so far. What is rare in genome assembly, the algorithm is almost parameter-free, with only one optional parameter to be set by a user. ALGA was compared with nine state-of-the-art assemblers in tests on genome-scale sequencing data obtained from real experiments on six organisms, differing in size, coverage, GC content, and repetition rate. ALGA produced best results in the sense of overall quality of genome reconstruction, understood as a good balance between genome coverage, accuracy, and length of resulting sequences. The algorithm is one of tools involved in processing data in currently realized national project Genomic Map of Poland.AvailabilityALGA is available at http://alga.put.poznan.pl.Supplementary informationSupplementary material is available at Bioinformatics online.

Dataset Information

De novo phased assembly of the Vitis riparia grape genome.

Publications

De novo phased assembly of the Vitis riparia grape genome.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets