|Analysis Name||Prunus kansuensis Whole Genome v1.0 Assembly & Annotation |
|Method||ALLPATHS-LG (na) |
|Source||Prunus kansuensis Illumina Reads |
|Date performed||2020-08-03 |
Pan-genome analyses of peach and its wild relatives provide insights into the genetics of disease resistance and species adaptation (to be submitted by Cao Ke at Zhengzhou fruit research institute, CAAS, China)
Peach (Prunus persica) is the third most produced fruit crop, and is widely cultivated in temperate and subtropical regions. Due to its small genome size, peach has been used as a model plant for comparative and functional genomic researches of the Rosaceae family. In 2013, a high-quality reference genome sequence of peach constructed with the Sanger whole-genome shotgun approach was released by International Peach Genome Initiative. It is well known that wild germplasm contributes a significant proportion of the genetic resources of major crop species, and significant phenotypic differences in fruit size, flavor, and stress tolerance were found among P. persica and its wild relatives, P. mira, P. davidiana, P. kansuensis, and P. ferganensis. It is necessary to study genetic variations of peach and its wild relatives from a broader perspective, such as pan-genome analyses. P. kansuensis is an attractive model for studying resistance mechanism for nematode.
Genome facts and statistics
The genome of P. kansuensis was assembled using variety “Honggengansutao 1#” through Illumina platforms. Illumina reads from the wild species of P. persica were assembled using ALLPATHS-LG, and gaps in the assemblies were filled using GapCloser V1.12. Mate-paired reads were then used to generate scaffolds using SSPACE.
Draft genome of the wild peach specie, P. kansuensis, was generated using only Illumina sequencing reads. We ultimately obtained 206.2 Mb assemblies, covering about 86.6% of the estimated genome sizes and having the scaffold N50 lengths of 0.34 Mb. The quality of the assemblies was demonstrated using the BUSCO analysis and RNA-Seq read mapping rates.
Gene prediction was performed using a combination of homology, ab initio and transcriptome based approaches. Finally, gene prediction and annotation were performed resulting in 26,527 protein-coding genes in P. kansuensis.
All assembly and annotation files are available for download by selecting the desired data type in the left-hand side bar. Each data type page will provide a description of the available files and links to download.
The Prunus kansuensis Genome v1.0 assembly file is available in FASTA format.
|Chromosomes (FASTA file)
The Prunus kansuensis v1.0 genome gene prediction files are available in FASTA and GFF3 formats.
Functional annotation for the Prunus kansuensis genome v1.0 are available for download below. The Prunus kansuensis genome v1.0 proteins were analyzed using InterProScan in order to assign InterPro domains and Gene Ontology (GO) terms. Pathways analysis was performed using the KEGG Automatic Annotation Server (KAAS).
Transcript alignments were performed by the GDR Team of Main Bioinformatics Lab at WSU. The alignment tool 'BLAT' was used to map transcripts to the Prunus kansuensis genome assembly. Alignments with an alignment length of 97% and 97% identify were preserved. The available files are in GFF3 format.