AlloSHP: deconvoluting single homeologous polymorphism for phylogenetic analysis of allopolyploids

AlloSHP combines the strategies of simultaneous mapping against multiple reference genomes and syntenic alignment of these genomes to call SHPs, using as input data a single VCF file and the reference genomes of the known or closest extant diploid progenitor species. This novel approach provides a valuable tool for the evolutionary study of allopolyploid species, both at the interspecific and intraspecific levels, allowing the simultaneous analysis of a large number of accessions and avoiding the complex process of assembling polyploid genomes.

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Publication Details

Journal
Plant Methods
Published
2025-10-24
DOI
https://doi.org/10.1186/s13007-025-01458-6
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
0.00

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article

AlloSHP: deconvoluting single homeologous polymorphism for phylogenetic analysis of allopolyploids

Pilar Catalán, Rubén Sancho, John P. Vogel, Bruno Contreras‐Moreira
Plant Methods
Chromosomal and Genetic Variations
article

AlloSHP: deconvoluting single homeologous polymorphism for phylogenetic analysis of allopolyploids

Pilar Catalán, Rubén Sancho, John P. Vogel, Bruno Contreras‐Moreira
article en

Abstract

AlloSHP combines the strategies of simultaneous mapping against multiple reference genomes and syntenic alignment of these genomes to call SHPs, using as input data a single VCF file and the reference genomes of the known or closest extant diploid progenitor species. This novel approach provides a valuable tool for the evolutionary study of allopolyploid species, both at the interspecific and intraspecific levels, allowing the simultaneous analysis of a large number of accessions and avoiding the complex process of assembling polyploid genomes.

Plant MethodsVol. 21(1)
Consejo Superior de Investigaciones Científicas (ES), Lawrence Berkeley National Laboratory (US), Joint Genome Institute (US), Universidad de Zaragoza (ES), Fundación Biofísica Bizkaia (ES), Estación Experimental de Aula Dei (ES)
U.S. Department of Energy, Joint Genome Institute, Ministerio de Ciencia e Innovación, Universidad de Zaragoza, Fundación Agencia Aragonesa para la Investigación y el Desarrollo, Office of Science, Consejo Superior de Investigaciones Científicas
Openalex Percentile: Top 78%
Chromosomal and Genetic Variations
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