10.6084/m9.figshare.9565904.v1 Guru Radhakrishnan Guru Radhakrishnan Nicola Cook Nicola Cook Vanessa Bueno-Sancho Vanessa Bueno-Sancho Clare Lewis Clare Lewis Antoine Persoons Antoine Persoons Abel Mitiku Abel Mitiku Matthew Heaton Matthew Heaton Phoebe Davey Phoebe Davey Bekele Abeyo Bekele Abeyo Yoseph Alemayehu Yoseph Alemayehu Ayele Badebo Ayele Badebo Marla Barnett Marla Barnett Ruth Bryant Ruth Bryant Jeron Chatelain Jeron Chatelain Xianming Chen Xianming Chen Suomeng Dong Suomeng Dong Tina Henriksson Tina Henriksson Sarah Holdgate Sarah Holdgate Annemarie Justesen Annemarie Justesen Jay Kalous Jay Kalous Zhensheng Kang Zhensheng Kang Szymon Laczny Szymon Laczny Jean-Paul Legoff Jean-Paul Legoff Driecus Lesch Driecus Lesch Tracy Richards Tracy Richards Harpinder Randhawa Harpinder Randhawa Tine Thach Tine Thach Meinan Wang Meinan Wang Mogens Hovmøller Mogens Hovmøller David Hodson David Hodson Diane Saunders Diane Saunders Additional file 4 of MARPLE, a point-of-care, strain-level disease diagnostics and surveillance tool for complex fungal pathogens Springer Nature 2019 Pathogen surveillance Genomics Point of care Disease diagnostics Wheat rust Nanopore sequencing 2019-08-13 04:00:32 Figure https://springernature.figshare.com/articles/figure/Additional_file_4_of_MARPLE_a_point-of-care_strain-level_disease_diagnostics_and_surveillance_tool_for_complex_fungal_pathogens/9565904 Multivariate discriminant analysis of principal components (DAPC) performed on the 301 global Pst isolates. (a) The Bayesian information criterion (BIC) was calculated for combined DAPC analysis of all 301 global Pst isolates, which indicated an optimal clustering solution of K = 5. (b-f) Further DAPC analysis was carried on each of the initial five population clusters, and assessment of the BIC was used to determine the optimal clustering solution (red circle). The Y-axis corresponds to the BIC, a goodness-of-fit measurement calculated for each K value. (EPS 994 kb)