A Customized Human Mitochondrial DNA Database (hMITO DB v1.0) for Rapid Sequence Analysis, Haplotyping and Geo-Mapping.

bioinformatics hypervariable region mitochondrial DNA mitochondrial genomics mitochondrial haplogroup molecular anthropology next generation sequencing oncogenetics phylogeography

Journal

International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791

Informations de publication

Date de publication:
31 Aug 2023
Historique:
received: 25 07 2023
revised: 22 08 2023
accepted: 29 08 2023
medline: 11 9 2023
pubmed: 9 9 2023
entrez: 9 9 2023
Statut: epublish

Résumé

The field of mitochondrial genomics has advanced rapidly and has revolutionized disciplines such as molecular anthropology, population genetics, and medical genetics/oncogenetics. However, mtDNA next-generation sequencing (NGS) analysis for matrilineal haplotyping and phylogeographic inference remains hindered by the lack of a consolidated mitogenome database and an efficient bioinformatics pipeline. To address this, we developed a customized human mitogenome database (hMITO DB) embedded in a CLC Genomics workflow for read mapping, variant analysis, haplotyping, and geo-mapping. The database was constructed from 4286 mitogenomes. The macro-haplogroup (A to Z) distribution and representative phylogenetic tree were found to be consistent with published literature. The hMITO DB automated workflow was tested using mtDNA-NGS sequences derived from Pap smears and cervical cancer cell lines. The auto-generated read mapping, variants track, and table of haplotypes and geo-origins were completed in 15 min for 47 samples. The mtDNA workflow proved to be a rapid, efficient, and accurate means of sequence analysis for translational mitogenomics.

Identifiants

pubmed: 37686313
pii: ijms241713505
doi: 10.3390/ijms241713505
pmc: PMC10488239
pii:
doi:

Substances chimiques

DNA, Mitochondrial 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Brooke Army Medical Center
ID : Defense Health Agency Intramural Funding

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Auteurs

Jane Shen-Gunther (J)

Gynecologic Oncology & Clinical Investigation, Department of Clinical Investigation, Brooke Army Medical Center, Fort Sam Houston, San Antonio, TX 78234, USA.

Rutger S Gunther (RS)

Nuclear Medicine & Molecular Imaging, Department of Radiology, Brooke Army Medical Center, Fort Sam Houston, San Antonio, TX 78234, USA.

Hong Cai (H)

Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX 78249, USA.
South Texas Center for Emerging Infectious Diseases, University of Texas at San Antonio, San Antonio, TX 78249, USA.

Yufeng Wang (Y)

Department of Molecular Microbiology and Immunology, University of Texas at San Antonio, San Antonio, TX 78249, USA.
South Texas Center for Emerging Infectious Diseases, University of Texas at San Antonio, San Antonio, TX 78249, USA.

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Classifications MeSH