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De novo sequencing, assembly and functional annotation of Armillaria borealis genome.

Vasilina S AkulovaVadim V SharovAnastasiya I AksyonovaYuliya A PutintsevaNatalya V OreshkovaSergey I FeranchukDmitry A KuzminIgor N PavlovYulia A LitovkaKonstantin V Krutovsky
Published in: BMC genomics (2020)
Pathogenic fungi such as Armillaria are currently one of the main problems in forest conservation. A comprehensive study of these species and their pathogenicity is of great importance and needs good genomic resources. The assembled genome of A. borealis presented in this study is of sufficiently good quality for further detailed comparative study on the composition of enzymes in other Armillaria species. There is also a fundamental problem with the identification and classification of species of the Armillaria genus, where the study of repetitive sequences in the genomes of basidiomycetes and their comparative analysis will help us identify more accurately taxonomy of these species and reveal their evolutionary relationships.
Keyphrases
  • genome wide
  • machine learning
  • mental health
  • single cell
  • genetic diversity
  • deep learning
  • high frequency
  • pseudomonas aeruginosa
  • cystic fibrosis
  • rna seq
  • copy number