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GET_PANGENES: calling pangenes from plant genome alignments confirms presence-absence variation.
Contreras-Moreira, Bruno; Saraf, Shradha; Naamati, Guy; Casas, Ana M; Amberkar, Sandeep S; Flicek, Paul; Jones, Andrew R; Dyer, Sarah.
Afiliação
  • Contreras-Moreira B; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK. bcontreras@eead.csic.es.
  • Saraf S; Estación Experimental Aula Dei-CSIC, 50059, Zaragoza, Spain. bcontreras@eead.csic.es.
  • Naamati G; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Casas AM; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Amberkar SS; Estación Experimental Aula Dei-CSIC, 50059, Zaragoza, Spain.
  • Flicek P; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
  • Jones AR; European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK.
  • Dyer S; Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, UK.
Genome Biol ; 24(1): 223, 2023 10 05.
Article em En | MEDLINE | ID: mdl-37798615
ABSTRACT
Crop pangenomes made from individual cultivar assemblies promise easy access to conserved genes, but genome content variability and inconsistent identifiers hamper their exploration. To address this, we define pangenes, which summarize a species coding potential and link back to original annotations. The protocol get_pangenes performs whole genome alignments (WGA) to call syntenic gene models based on coordinate overlaps. A benchmark with small and large plant genomes shows that pangenes recapitulate phylogeny-based orthologies and produce complete soft-core gene sets. Moreover, WGAs support lift-over and help confirm gene presence-absence variation. Source code and documentation https//github.com/Ensembl/plant-scripts .
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genoma de Planta Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Genoma de Planta Idioma: En Ano de publicação: 2023 Tipo de documento: Article