Poster
Simeon Lim Rossmann, PhD (he/him/his)
Tenure Track Postdoc
Norwegian University of Life Sciences (NMBU)
Ã…s, Akershus, Norway
Erik Lysøe
Researcher
NIBIO - Norwegian Institute for Bioeconomy Research
Ã…s, Akershus, Norway
Monica Skogen
Senior Engineer
NIBIO - Norwegian Institute for Bioeconomy Research
Ã…s, Akershus, Norway
HÃ¥vard Eikemo
Researcher
NIBIO - Norwegian Institute for Bioeconomy Research
Ã…s, Akershus, Norway
Marta Janiszewska
PhD candidate
Plant Breeding and Acclimatization Institute – National Research Institute, Platanowa
Młochów, Mazowieckie, Poland
Mirella Ludwiczewska
PhD student
Plant Breeding and Acclimatization Institute – National Research Institute, Platanowa
Młochów, Mazowieckie, Poland
Sylwester Sobkowiak
Senior Engineer
Plant Breeding and Acclimatization Institute – National Research Institute, Platanowa
Młochów, Mazowieckie, Poland
Jadwiga Åšliwka
Professor
Plant Breeding and Acclimatization Institute – National Research Institute, Platanowa
Młochów, Mazowieckie, Poland
May Bente Brurberg
NIBIO - Norwegian Institute of Bioeconomy Research
Ã…s, Akershus, Norway
Phytophthora infestans delivers effector proteins into the host’s apoplast and cells to manipulate defense responses and facilitate infection. Variations in effector sequences and differences in their repertoire influence virulence and aggressiveness.
Isolates of P. infestans are routinely genotyped using neutral short sequence repeat (SSR) markers without assessment of effectors. We aimed to develop a complementary approach, Effector Amplicon Sequencing (EASe) to investigate whether this can add information on P. infestans populations and their virulence potential. This is particularly relevant for populations that are dominated by sexual reproduction. We derived effector sets comprising coding sequences for approximately 70 genes from 394 isolates from long read sequencing. We built an open-source, free, modular analysis pipeline for the EASe data and created a cohesive database of the distribution of variants for the investigated genes.
We found the expected strong conservation of effector sets within clonal lineages, with set differences ranging from 10 to 20 % within a genotype and averaging 35 % between random isolates. However, we also identified effector set types that were conserved between clonal lineages and likely sexually produced isolates, and types unique to groups of the latter.
EASe has the potential to improve the development of resistant potato cultivars and prediction of disease outcomes by matching effector gene variants and resistance genes.