Haplotype-resolved assembly of a tetraploid potato genome using long reads and low-depth offspring data

被引:0
作者
Rebecca Serra Mari
Sven Schrinner
Richard Finkers
Freya Maria Rosemarie Ziegler
Paul Arens
Maximilian H.-W. Schmidt
Björn Usadel
Gunnar W. Klau
Tobias Marschall
机构
[1] Heinrich Heine University Düsseldorf,Institute for Medical Biometry and Bioinformatics, Medical Faculty and University Hospital Düsseldorf
[2] Heinrich Heine University Düsseldorf,Center for Digital Medicine
[3] Heinrich Heine University Düsseldorf,Algorithmic Bioinformatics, Faculty of Mathematics and Natural Sciences
[4] Gennovation B.V.,Plant Breeding
[5] Wageningen University & Research,Cluster of Excellence on Plant Sciences (CEPLAS)
[6] Heinrich Heine University Düsseldorf,Forschungszentrum Jülich
[7] Institute of Bio and Geosciences,Bioeconomy Science Center
[8] Bioinformatics (IBG-4),Biological Data Science, Faculty of Mathematics and Natural Sciences
[9] c/o Forschungszentrum Jülich,undefined
[10] Heinrich Heine University Düsseldorf,undefined
来源
Genome Biology | / 25卷
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摘要
Potato is one of the world’s major staple crops, and like many important crop plants, it has a polyploid genome. Polyploid haplotype assembly poses a major computational challenge. We introduce a novel strategy for the assembly of polyploid genomes and present an assembly of the autotetraploid potato cultivar Altus. Our method uses low-depth sequencing data from an offspring population to achieve chromosomal clustering and haplotype phasing on the assembly graph. Our approach generates high-quality assemblies of individual chromosomes with haplotype-specific sequence resolution of whole chromosome arms and can be applied in common breeding scenarios where collections of offspring are available.
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