Proteome-Wide Computational Approaches To Identify Novel Genes Involved in Soybean resistance to SCN


3- Nour Nissan, Elroy Cober, Ashkan Golshani, Bahram Samanfar: Proteome-wide computational approaches to identify novel genes involved in soybean resistance to SCN. 18th Annual OCIB, Ottawa Carleton Institute of Biology Symposium, 2021 Canada.


Cultivated soybean (Glycine max) is an economically important crop in Canada. Soybean cyst nematode, Heterodera glycines Ichinohe, (SCN) is a plant parasite. Compromised soybean result in significant loss in yield. Once SCN is present, it’s almost impossible to eradicate. As of today, only two resistant genes have been identified. We have used a functional genomics approach PIPE (Protein-protein Interaction Prediction Engine) integrated with previous studies, and short-listed (~200) potential candidate genes for further investigations (bioinformatics and molecular biology related practices).

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