Distinguishing Puccinia striiformis f. sp. tritici isolates using genomic sequencing: A case study

Citation

Michele Frick, Eric Amundsen, André Laroche. 2022. Distinguishing Puccinia striiformis f. sp. tritici isolates using genomic sequencing: A case study. Methods in Molecular Biology (In Press)

Résumé en langage clair

We describe an approach using DNA sequencing with different bioinformatic tools to distinguish different isolates of the wheat pathogenic fungus causing stripe rust. We show that different sequences can be utilized to distinguish different isolates and phylogenic trees were used to illustrate the differences among the isolates.

This work will be useful for graduate students, technicians and scientists for identification of stripe rust isolates around the world where wheat is grown.

Résumé

We are reporting on the utilization of high throughput sequencing and different sequencing analysis tools to delineate identification of different isolates of the stripe rust fungal pathogen Puccinia striiformis f. sp. tritici (Pst). Different approaches are shown: utilization of rDNA sequences and random sequences that may be very useful to make sure that isolates belong to Pst and to distinguished closely related isolates. Identification of unique/lost sequences could lead to the identification of effectors associated with specific isolates.

Date de publication

2022-12-01

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