Robust and scalable barcoding for massively parallel long‑read sequencing

Nucleic-acid barcoding is an enabling technique for many applications, but its use remains limited in emerging long-read sequencing technologies with intrinsically low raw accuracy. Here, we apply so-called NS-watermark barcodes, whose error correction capability was previously validated in silic...

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Autores principales: Ezpeleta, Joaquín, Labari, Ignacio Garcia, Villanova, Gabriela Vanina, Bulacio, Pilar, Lavista Llanos, Sofía, Posner, Victoria María, Krsticevic, Flavia, Arranz, Silvia Eda, Tapia, Elizabeth
Formato: article artículo publishedVersion
Lenguaje:Inglés
Publicado: Nature Research 2022
Materias:
Acceso en línea:http://hdl.handle.net/2133/25067
http://hdl.handle.net/2133/25067
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id I15-R121-2133-25067
record_format dspace
institution Universidad Nacional de Rosario
institution_str I-15
repository_str R-121
collection Repositorio Hipermedial de la Universidad Nacional de Rosario (UNR)
language Inglés
topic DNA barcoding
High-throughput nucleotide sequencing
Sequence Analysis
spellingShingle DNA barcoding
High-throughput nucleotide sequencing
Sequence Analysis
Ezpeleta, Joaquín
Labari, Ignacio Garcia
Villanova, Gabriela Vanina
Bulacio, Pilar
Lavista Llanos, Sofía
Posner, Victoria María
Krsticevic, Flavia
Arranz, Silvia Eda
Tapia, Elizabeth
Robust and scalable barcoding for massively parallel long‑read sequencing
topic_facet DNA barcoding
High-throughput nucleotide sequencing
Sequence Analysis
description Nucleic-acid barcoding is an enabling technique for many applications, but its use remains limited in emerging long-read sequencing technologies with intrinsically low raw accuracy. Here, we apply so-called NS-watermark barcodes, whose error correction capability was previously validated in silico, in a proof of concept where we synthesize 3840 NS-watermark barcodes and use them to asymmetrically tag and simultaneously sequence amplicons from two evolutionarily distant species (namely Bordetella pertussis and Drosophila mojavensis) on the ONT MinION platform. To our knowledge, this is the largest number of distinct, non-random tags ever sequenced in parallel and the frst report of microarray-based synthesis as a source for large oligonucleotide pools for barcoding. We recovered the identity of more than 86% of the barcodes, with a crosstalk rate of 0.17% (i.e., one misassignment every 584 reads). This falls in the range of the index hopping rate of established, highaccuracy Illumina sequencing, despite the increased number of tags and the relatively low accuracy of both microarray-based synthesis and long-read sequencing. The robustness of NS-watermark barcodes, together with their scalable design and compatibility with low-cost massive synthesis, makes them promising for present and future sequencing applications requiring massive labeling, such as long-read single-cell RNA-Seq.
format article
artículo
publishedVersion
author Ezpeleta, Joaquín
Labari, Ignacio Garcia
Villanova, Gabriela Vanina
Bulacio, Pilar
Lavista Llanos, Sofía
Posner, Victoria María
Krsticevic, Flavia
Arranz, Silvia Eda
Tapia, Elizabeth
author_facet Ezpeleta, Joaquín
Labari, Ignacio Garcia
Villanova, Gabriela Vanina
Bulacio, Pilar
Lavista Llanos, Sofía
Posner, Victoria María
Krsticevic, Flavia
Arranz, Silvia Eda
Tapia, Elizabeth
author_sort Ezpeleta, Joaquín
title Robust and scalable barcoding for massively parallel long‑read sequencing
title_short Robust and scalable barcoding for massively parallel long‑read sequencing
title_full Robust and scalable barcoding for massively parallel long‑read sequencing
title_fullStr Robust and scalable barcoding for massively parallel long‑read sequencing
title_full_unstemmed Robust and scalable barcoding for massively parallel long‑read sequencing
title_sort robust and scalable barcoding for massively parallel long‑read sequencing
publisher Nature Research
publishDate 2022
url http://hdl.handle.net/2133/25067
http://hdl.handle.net/2133/25067
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