bioRxivGenomicsPreprint
Chromosome-level genome construction of a Japanese stickleback species using ultra-dense linkage analysis using single-cell sequencing of sperms
Kazutoshi YoshitakeiD, Asano IshikawaiD, Ryo YonezawaiD, Shigeharu KinoshitaiD, Jun KitanoiD, Shuichi AsakawaiD
Abstract
The presence of high quality genomes at the chromosome level is very useful in the search for the causal genes of mutants and in genetic breeding. The advent of next-generation sequencers has made it easier to decode genomes, but it is still difficult to construct the genomes of higher organisms. In order to construct the genome of a higher organism, the genome sequence of the organism is extended to the length of the chromosome by linkage analysis after assembly and scaffolding. However, in the past linkage analysis, it was difficult to make a high-density linkage map, and it was not possible to analyze organisms without an established breeding system. As an innovative alternative to conventional linkage analysis, we devised a method for genotyping sperm using 10x single-cell genome (CNV) sequencing libraries to generate a linkage map without interbreeding individuals. The genome was constructed using sperm from Gasterosteus nipponicus, and single-cell genotyping yielded 1,864,430 very dense hetero-SNPs. The average coverage per sperm cell is 0.13x. The number of sperm used is 1,738, which is an order of magnitude higher than the number of sperm used for conventional linkage analysis. We have improved the linkage analysis tool SELDLA (Scaffold Extender with Low Depth Linkage Analysis) so that we can analyze the data in accordance with the characteristics of single-cell genotyping data. Finally, we were able to determine the location and orientation on the chromosome for 85.6% of the contigs in the 456 Mbase genome of Gasterosteus nipponicus sequenced in nanopores. A total of 95.6% of the contigs in which a cross-reaction was detected within the contigs.
- assay: long-read sequencing
- assay: whole-genome sequencing
- research focus: genome assembly
- research focus: variant calling
- research focus: benchmarking
- approach: statistical model
- approach: experimental assay
- Citations
- 0
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