Evidence map›Paper›PMID 38570611›Full record

ArticleScientific reports2024

Haplotype-resolved assembly of auto-polyploid genomes via combining Hi-C and gametic data.

Xiaohui Zhang, Dongxi Li, Weihua Pan

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Xiaohui ZhangCollege of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China.
Dongxi Li *College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, Shanxi, China. dxli0426@126.com.
Weihua Pan *Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture and Rural Affairs, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, 518120, China. panweihua@caas.cn.

Funding

National Natural Science Foundation of China, Shenzhen Science and Technology Program Grant No. 32100501National Natural Science Foundation of China, Shenzhen Science and Technology Program Grant No. RCBS20210609103819020
6 · The paper itself

Abstract

Haplotype-resolved genome assembly plays a crucial role in understanding allele-specific functions. However, obtaining haplotype-resolved assembly for auto-polyploid genomes remains challenging. Existing methods can be classified into reference-based phasing, assembly-based phasing, and gamete binning. Nevertheless, there is a lack of cost-effective and efficient methods for haplotyping auto-polyploid genomes. In this study, we propose a novel phasing algorithm called PolyGH, which combines Hi-C and gametic data. We conducted experiments on tetraploid potato cultivars and divided the method into three steps. Firstly, gametic data was utilized to bin non-collapsed contigs, followed by merging adjacent fragments of the same type within the same contig. Secondly, accurate Hi-C signals related to differential genomic regions were acquired using unique k-mers. Finally, collapsed fragments were assigned to haplotigs based on combined Hi-C and gametic signals. Comparing PolyGH with Hi-C-based and gametic data-based methods, we found that PolyGH exhibited superior performance in haplotyping auto-polyploid genomes when integrating both data types. This approach has the potential to enhance haplotype-resolved assembly for auto-polyploid genomes.

Indexed as

Germ CellsPolyploidyAllelesHaplotypesHumansSequence Analysis, DNAAuto-polyploidGametic dataHaplotype-resolved assemblyHi-CPacBio HiFi

Identifiers

PMID38570611
PMCPMC10991297

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