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Graph construction method impacts variation representation and analyses in a bovine super-pangenome

BACKGROUND: Several models and algorithms have been proposed to build pangenomes from multiple input assemblies, but their impact on variant representation, and consequently downstream analyses, is largely unknown. RESULTS: We create multi-species super-pangenomes using pggb, cactus, and minigraph w...

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Autores principales: Leonard, Alexander S., Crysnanto, Danang, Mapel, Xena M., Bhati, Meenu, Pausch, Hubert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204317/
https://www.ncbi.nlm.nih.gov/pubmed/37217946
http://dx.doi.org/10.1186/s13059-023-02969-y
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author Leonard, Alexander S.
Crysnanto, Danang
Mapel, Xena M.
Bhati, Meenu
Pausch, Hubert
author_facet Leonard, Alexander S.
Crysnanto, Danang
Mapel, Xena M.
Bhati, Meenu
Pausch, Hubert
author_sort Leonard, Alexander S.
collection PubMed
description BACKGROUND: Several models and algorithms have been proposed to build pangenomes from multiple input assemblies, but their impact on variant representation, and consequently downstream analyses, is largely unknown. RESULTS: We create multi-species super-pangenomes using pggb, cactus, and minigraph with the Bos taurus taurus reference sequence and eleven haplotype-resolved assemblies from taurine and indicine cattle, bison, yak, and gaur. We recover 221 k nonredundant structural variations (SVs) from the pangenomes, of which 135 k (61%) are common to all three. SVs derived from assembly-based calling show high agreement with the consensus calls from the pangenomes (96%), but validate only a small proportion of variations private to each graph. Pggb and cactus, which also incorporate base-level variation, have approximately 95% exact matches with assembly-derived small variant calls, which significantly improves the edit rate when realigning assemblies compared to minigraph. We use the three pangenomes to investigate 9566 variable number tandem repeats (VNTRs), finding 63% have identical predicted repeat counts in the three graphs, while minigraph can over or underestimate the count given its approximate coordinate system. We examine a highly variable VNTR locus and show that repeat unit copy number impacts the expression of proximal genes and non-coding RNA. CONCLUSIONS: Our findings indicate good consensus between the three pangenome methods but also show their individual strengths and weaknesses that need to be considered when analysing different types of variants from multiple input assemblies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02969-y.
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spelling pubmed-102043172023-05-24 Graph construction method impacts variation representation and analyses in a bovine super-pangenome Leonard, Alexander S. Crysnanto, Danang Mapel, Xena M. Bhati, Meenu Pausch, Hubert Genome Biol Research BACKGROUND: Several models and algorithms have been proposed to build pangenomes from multiple input assemblies, but their impact on variant representation, and consequently downstream analyses, is largely unknown. RESULTS: We create multi-species super-pangenomes using pggb, cactus, and minigraph with the Bos taurus taurus reference sequence and eleven haplotype-resolved assemblies from taurine and indicine cattle, bison, yak, and gaur. We recover 221 k nonredundant structural variations (SVs) from the pangenomes, of which 135 k (61%) are common to all three. SVs derived from assembly-based calling show high agreement with the consensus calls from the pangenomes (96%), but validate only a small proportion of variations private to each graph. Pggb and cactus, which also incorporate base-level variation, have approximately 95% exact matches with assembly-derived small variant calls, which significantly improves the edit rate when realigning assemblies compared to minigraph. We use the three pangenomes to investigate 9566 variable number tandem repeats (VNTRs), finding 63% have identical predicted repeat counts in the three graphs, while minigraph can over or underestimate the count given its approximate coordinate system. We examine a highly variable VNTR locus and show that repeat unit copy number impacts the expression of proximal genes and non-coding RNA. CONCLUSIONS: Our findings indicate good consensus between the three pangenome methods but also show their individual strengths and weaknesses that need to be considered when analysing different types of variants from multiple input assemblies. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-023-02969-y. BioMed Central 2023-05-22 /pmc/articles/PMC10204317/ /pubmed/37217946 http://dx.doi.org/10.1186/s13059-023-02969-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Leonard, Alexander S.
Crysnanto, Danang
Mapel, Xena M.
Bhati, Meenu
Pausch, Hubert
Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title_full Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title_fullStr Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title_full_unstemmed Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title_short Graph construction method impacts variation representation and analyses in a bovine super-pangenome
title_sort graph construction method impacts variation representation and analyses in a bovine super-pangenome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10204317/
https://www.ncbi.nlm.nih.gov/pubmed/37217946
http://dx.doi.org/10.1186/s13059-023-02969-y
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