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Y chromosome sequence and epigenomic reconstruction across human populations

Recent advances in long-read sequencing technologies have allowed the generation and curation of more complete genome assemblies, enabling the analysis of traditionally neglected chromosomes, such as the human Y chromosome (chrY). Native DNA was sequenced on a MinION Oxford Nanopore Technologies seq...

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Detalles Bibliográficos
Autores principales: Esteller-Cucala, Paula, Palmada-Flores, Marc, Kuderna, Lukas F. K., Fontsere, Claudia, Serres-Armero, Aitor, Dabad, Marc, Torralvo, María, Faella, Armida, Ferrández-Peral, Luis, Llovera, Laia, Fornas, Oscar, Julià, Eva, Ramírez, Erika, González, Irene, Hecht, Jochen, Lizano, Esther, Juan, David, Marquès-Bonet, Tomàs
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10256797/
https://www.ncbi.nlm.nih.gov/pubmed/37296226
http://dx.doi.org/10.1038/s42003-023-05004-9
Descripción
Sumario:Recent advances in long-read sequencing technologies have allowed the generation and curation of more complete genome assemblies, enabling the analysis of traditionally neglected chromosomes, such as the human Y chromosome (chrY). Native DNA was sequenced on a MinION Oxford Nanopore Technologies sequencing device to generate genome assemblies for seven major chrY human haplogroups. We analyzed and compared the chrY enrichment of sequencing data obtained using two different selective sequencing approaches: adaptive sampling and flow cytometry chromosome sorting. We show that adaptive sampling can produce data to create assemblies comparable to chromosome sorting while being a less expensive and time-consuming technique. We also assessed haplogroup-specific structural variants, which would be otherwise difficult to study using short-read sequencing data only. Finally, we took advantage of this technology to detect and profile epigenetic modifications among the considered haplogroups. Altogether, we provide a framework to study complex genomic regions with a simple, fast, and affordable methodology that could be applied to larger population genomics datasets.