Page 195 - Plant Canada 2024 Proceeding
P. 195

PLANT CANADA 2024


               genetic diversity of individual resting spores from a single clubbed canola root of a collection from
               Normandin, Quebec, pathotype 5X, was assessed. The ‘x’ designation indicates that the pathotype can
               overcome first generation clubroot resistance in canola. An enzymatic method was developed to remove
               cell walls from resting spores to produce protoplasts. The ~4,000 individual protoplasts were barcoded
               and DNA of each cell was sequenced. Elbow plot analysis indicated the presence of at least two clonal
               groups. Complementing this, silhouette clustering, which evaluates the proximity of points within clusters
               to those in neighboring clusters, confirmed the presence of at least two clones. Hierarchical clustering
               identified five distinct clones, consisting of 829 cells (Clade 1), 1120 cells (Clade 2), 1140 cells (Clade 3),
               183 cells (Clade 4), and 445 cells (Clade 5). Principal component analysis supported the presence of five
               clones. Heat maps were generated to visualize the genetic diversity across these clones and to compare
               the single-cell data with bulk sequences from five field collections, including the original Normandin 5X.
               Clade 3, which had the highest number of cells, showed a high similarity to the original field collection.
               The identification of 2 to 5 clades among 4,000 resting spores demonstrates that the P. brassicae
               population in a single club is genetically diverse. Large differences among the clones supported our
               hypothesis from a previous study that entire genotypes are retained over time in the population of
               P. brassicae. The genetic diversity this represents has important implications for breeding for resistance,
               as no single-gene source of resistance is likely to be durable. Furthermore, the dissimilarity among
               genotypes suggests they are not siblings from sexual reproduction, indicating that pathogen increase
               within an infected host plant is predominantly or exclusively clonal.

               [O180] METAGENOMICS-BASED MICROBIAL COMMUNITY PROFILING IN THE QUEST FOR
                                                                                        1
                                                                           1,2
               POTATO WART BIOLOGICAL CONTROL AGENTS. Ishraq Akbar , Yichao Shi , Bart. T. L. H. van de
               Vossenberg , Theo A. J. van der Lee , Sean Li , Linda Jewell , Hai D.T. Nguyen , and Wen Chen .
                                                                                      1
                                                                                                     1,2
                                                                      5
                          3
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                                                         4
               1 Ottawa Research and Development Centre, Agriculture and Agri-Food Canada, 960 Carling ave.,
               Ottawa, ON K1A 0C6 Canada;  Department of Biology, University of Ottawa, Ottawa, 60 Marie Curie Prv.,
                                           2
               Ottawa, ON K1N 6N5, Canada;  Wageningen University & Research, Droevendaalsesteeg 1, Plant
                                            3
               Science Group, 6708PB, Wageningen, The Netherlands;  CFIA, Canadian Food Inspection Agency,
                                                                  4
               Charlottetown Laboratory, 93 Mount Edward Road, Charlottetown, Charlottetown, Prince Edward Island
               C1A5T1Canada; and  St. John’s Research and Development Centre, Agriculture and Agri-Food Canada,
                                   5
               308 Brookfield Road, St. John's, NL A1E 6J5 Canada
               Correspondence to wen.chen@agr.gc.ca

               Potato wart is a soil-borne disease characterized by cauliflower-like growths on potatoes, caused by the
               obligate biotrophic chytrid fungus Synchytrium endobioticum. Recent outbreaks of this quarantine
               pathogen in Prince Edward Island severely impacted local agricultural economy. The current containment
               strategy involves strict phytosanitary measures combined with the use of potato varieties resistant to
               specific pathotypes, of which there are 40 in total. However, these measures require taking land out of
               production, and the resistant varieties are not universally effective. To aid in developing an alternative and
               sustainable, long-term solution for managing this disease, our research investigates soil fungistasis,
               leveraging native soil and endophytic microbial communities. We hypothesize that introducing S.
               endobioticum inocula disrupts the ecological equilibrium of the phytomicrobiome, prompting potato plants'
               defense systems to recruit and enrich specific beneficial microorganisms from the soil and rhizosphere to
               combat the pathogen. To test this hypothesis, we employed Nanopore sequencing to profile and compare
               the bacterial communities in healthy and diseased soil and/or potato tuber samples from three locations
               endemic with potato wart disease. We used whole genome amplification (WGA) to increase DNA
               quantities for sequencing—a technique regularly employed for S. endobioticum inoculum detection.
               Microbiomes were recovered by metabarcoding the full length of the bacterial 16S rRNA gene region and
               performing shotgun metagenomic sequencing. The preliminary results confirmed the effectiveness of our
               Nanopore sequencing protocols by reliably identifying nearly all species in mock communities. High
               sequencing depth provided comprehensive representation of community diversity. Nevertheless,
               significant shifts were observed in the community compositional structure between original and WGA-
               treated samples. Comparative network analysis further indicated that WGA led to reduced connectivity,
               modularity, and feed-forward loop motifs, emphasizing the necessity for careful interpretation of microbial
               interplay patterns in the search for S. endobioticum antagonists. Insights into the microbial dynamics in
               soils used for potato production, particularly those affected by potato wart infestation, will enable us to
               identify and isolate potential biocontrol agents for this pathogen and develop strategies to manage and
               mitigate the impact of the disease.

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