Comparative Genomic Analysis of Colletotrichum lini Strains with Different Virulence on Flax.
Ekaterina M DvorianinovaElizaveta A SigovaTimur D MollaevTatiana A RozhminaLudmila P KudryavtsevaRoman O NovakovskiyAnastasia A TurbaDaiana A ZhernovaElena V BorkhertElena N PushkovaNataliya V MelnikovaAlexey A DmitrievPublished in: Journal of fungi (Basel, Switzerland) (2023)
Colletotrichum lini is a flax fungal pathogen. The genus comprises differently virulent strains, leading to significant yield losses. However, there were no attempts to investigate the molecular mechanisms of C. lini pathogenicity from high-quality genome assemblies until this study. In this work, we sequenced the genomes of three C. lini strains of high (#390-1), medium (#757), and low (#771) virulence. We obtained more than 100× genome coverage with Oxford Nanopore Technologies reads (N50 = 12.1, 6.1, 5.0 kb) and more than 50× genome coverage with Illumina data (150 + 150 bp). Several assembly strategies were tested. The final assemblies were obtained using the Canu-Racon ×2-Medaka-Polca scheme. The assembled genomes had a size of 54.0-55.3 Mb, 26-32 contigs, N50 values > 5 Mb, and BUSCO completeness > 96%. A comparative genomic analysis showed high similarity among mitochondrial and nuclear genomes. However, a rearrangement event and the loss of a 0.7 Mb contig were revealed. After genome annotation with Funannotate, secreting proteins were selected using SignalP, and candidate effectors were predicted among them using EffectorP. The analysis of the InterPro annotations of predicted effectors revealed unique protein categories in each strain. The assembled genomes and the conducted comparative analysis extend the knowledge of the genetic diversity of C. lini and form the basis for establishing the molecular mechanisms of its pathogenicity.
Keyphrases
- escherichia coli
- biofilm formation
- genetic diversity
- genome wide
- pseudomonas aeruginosa
- staphylococcus aureus
- healthcare
- single cell
- antimicrobial resistance
- oxidative stress
- affordable care act
- dna methylation
- gene expression
- electronic health record
- type iii
- small molecule
- machine learning
- amino acid
- protein protein