Toward a Kinh Vietnamese Reference Genome: Constructing a De Novo Genome Assembly Using Long-Read Sequencing and Optical Mapping

<b>Background:</b> Population-specific reference genomes are essential for improving the accuracy and reliability of genomic analyses across diverse human populations. Although Vietnam ranks as the 16th most populous country in the world, with more than 86% of its population identifying as Kinh, studies specifically focusing on the Kinh Vietnamese reference genome remain scarce. Therefore, constructing a Kinh Vietnamese reference genome is valuable in the genetic research of Vietnamese. <b>Methods:</b> In this study, we combined PacBio long-read sequencing and Bionano optical mapping data to generate a de novo assembly of a Kinh Vietnamese genome (VHG), which was subsequently polished using multiple Kinh Vietnamese short-read whole-genome sequences (WGSs). <b>Results:</b> The final assembly, named VHG1.2, comprised 3.22 gigabase pairs of high-quality sequence data, demonstrating high accuracy (QV: 48), completeness (BUSCO: 92%), and continuity (295 super scaffolds, super scaffold N50: 50 Kbp). Using multiple bioinformatic tools for variant calling, we observed significant variants when the population-specific reference VHG1.2 was used compared to the standard reference genome hg38. <b>Conclusions:</b> Overall, our genome assembly demonstrates the advantages of a long-read hybrid sequencing approach for de novo assembly and highlights the benefit of using population-specific reference genomes in population genomic analysis.

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Publication Details

Journal
Genes
Published
2025-04-29
DOI
https://doi.org/10.3390/genes16050536
Primary Topic
Genomics and Phylogenetic Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Toward a Kinh Vietnamese Reference Genome: Constructing a De Novo Genome Assembly Using Long-Read Sequencing and Optical Mapping

Linh Huyen Tran, Nguyễn Hoài Nam, Ngoc Giang Le, Nguyễn Quốc Huy et al.
Genes
Genomics and Phylogenetic Studies
article

Toward a Kinh Vietnamese Reference Genome: Constructing a De Novo Genome Assembly Using Long-Read Sequencing and Optical Mapping

Linh Huyen Tran, Nguyễn Hoài Nam, Ngoc Giang Le, Nguyễn Quốc Huy, Lam Tung Le, Trang Hong Nguyen, Thi Nhung Doan, Ha Hoang, Nguyễn Thị Vân Anh, Trương Nam Hải, Le Dung
article en

Abstract

<b>Background:</b> Population-specific reference genomes are essential for improving the accuracy and reliability of genomic analyses across diverse human populations. Although Vietnam ranks as the 16th most populous country in the world, with more than 86% of its population identifying as Kinh, studies specifically focusing on the Kinh Vietnamese reference genome remain scarce. Therefore, constructing a Kinh Vietnamese reference genome is valuable in the genetic research of Vietnamese. <b>Methods:</b> In this study, we combined PacBio long-read sequencing and Bionano optical mapping data to generate a de novo assembly of a Kinh Vietnamese genome (VHG), which was subsequently polished using multiple Kinh Vietnamese short-read whole-genome sequences (WGSs). <b>Results:</b> The final assembly, named VHG1.2, comprised 3.22 gigabase pairs of high-quality sequence data, demonstrating high accuracy (QV: 48), completeness (BUSCO: 92%), and continuity (295 super scaffolds, super scaffold N50: 50 Kbp). Using multiple bioinformatic tools for variant calling, we observed significant variants when the population-specific reference VHG1.2 was used compared to the standard reference genome hg38. <b>Conclusions:</b> Overall, our genome assembly demonstrates the advantages of a long-read hybrid sequencing approach for de novo assembly and highlights the benefit of using population-specific reference genomes in population genomic analysis.

GenesVol. 16(5)
Biomedical Primate Research Centre (NL), Terry Fox Research Institute (CA), Vietnam Academy of Science and Technology (VN), Hanoi University of Science and Technology (VN)
Vietnam Academy of Science and Technology, Kementerian Sumber Asli dan Alam Sekitar
Openalex Percentile: Top 92%
Genomics and Phylogenetic Studies
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