Nanopore sequencing of the genome of an apple blossom isolate of Metschnikowia pulcherrima

Nanopore sequencing is a novel technology which allows sequencing of entire genomes using a relatively cheap, handheld device – Oxford Nanopore’s MinION – powered by a state of the art personal computer. The technology generates long reads allowing for high quality genome assemblies while offering unmatched portability and simplicity of use. Here we aimed for sequencing the whole genome of an apple blossom isolate of Metschnikowia pulcherrima, with proven in vitro efficacy in controlling post-harvest fungal pathogens. Using five flow cells, 338MB of high quality sequence data was obtained allowing a de novo assembly of the 16MB genome of Metschnikowia pulcherrima to 21x coverage. The de novo assembly generated consists of 20 contigs of a N50 contig length of 1.23MB and shows a 98.17% consensus identity to the reference genome. Furthermore a polishing of the raw nanopore assembly using short and accurate Illumina reads resulted in an increase of this consensus identity to 99.45%. The data presented here shows that Nanopore sequencing allows for efficient and accurate sequencing of fungal genomes when combined with Illumina sequence data. While a de novo assembly shows promising results, the accuracy is not yet high enough. Nonetheless, we estimate that further improvements to the sequencing technology and better bioinformatic tools will allow such de novo sequencing of fungal genomes using only Nanopore sequencing data in the near future.

Documents

Nanopore sequencing of the genome of an apple ()
Poster presentation
Activity type
Final project conference participation with presentation (poster)
Activity work package
Fruit quality; improvement of fruit handling/storage
Activity number
Agroscope-WP4-A9
Activity contact
Andreas Bühlmann, e-mail: [email protected],
Tel.: +41 58 460 64 24, Fax: +41 58 460 63 41
Activity partner
Agroscope
Activity country
Switzerland
Last edit
15-06-2017
The EUFRUIT thematic network has received funding from the
European Union's Horizon 2020 research and innovation programme
under grant agreement No 696337.