An intensive multilocation temporal dataset of fungal communities in the root and rhizosphere of .
Navid Bazghaleh, Steven D Mamet, Jennifer K Bell, Zayda Morales Moreira, Zelalem M Taye, Shanay Williams, Melissa Arcand, Eric G Lamb, Steve Shirtliffe, Sally Vail, Steven D Siciliano, Bobbi Helgason
Author Information
Navid Bazghaleh: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Steven D Mamet: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Jennifer K Bell: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Zayda Morales Moreira: University of Saskatchewan, Department of Food and Bioproduct Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Zelalem M Taye: University of Saskatchewan, Department of Plant Sciences, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Shanay Williams: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Melissa Arcand: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Eric G Lamb: University of Saskatchewan, Department of Plant Sciences, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Steve Shirtliffe: University of Saskatchewan, Department of Plant Sciences, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Sally Vail: Agriculture and Agri-food Canada, 107 Science Pl, Saskatoon, SK S7N 5E2, Canada.
Steven D Siciliano: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
Bobbi Helgason: University of Saskatchewan, Department of Soil Science, 51 Campus Drive, Saskatoon, SK S7N 5A8, Canada.
The plant microbiome has been recently recognized as a plant phenotype to help in the food security of the future population. However, global plant microbiome datasets are insufficient to be used effectively for breeding this new generation of crop plants. We surveyed the diversity and temporal composition of fungal communities in the root and rhizosphere of , the world's second largest oilseed crop, weekly in eight diverse lines at one site and every three weeks in sixteen lines, at three sites in 2016 and 2017 in the Canadian Prairies. 14,944 unique amplicon sequence variants (ASV) were detected based on the internal transcribed spacer region, with an average of 43 ASVs per root and 105 ASVs per rhizosphere sample. Temporal, site-to-site, and line-driven variability were key determinants of fungal community structure. This dataset is a valuable resource to systematically extract information on the belowground microbiome of diverse lines in different environments, at different times in the growing season, in order to adapt effective varieties for sustainable crop production systems.
