Diagnostics of Verticillium wilt Photo credit: Johnson, D.
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1 Photo credit: Schwartz, H. Photo credit: Schwartz, H. Photo credit: USDA Diagnostics of Verticillium wilt Photo credit: Johnson, D. Photo credit: OMAFRA Photo credit: Johnson, D. David Linnard Wheeler, Jeness Scott, Jeremiah Dung, Dennis Johnson Washington State University & Oregon State University WMC: 12/4/2018 Photo credit: Atallah, Z. Photo credit: Dara, S. Photo credit: Brantner et al. 2008
2 Photo credit: Schwartz, H. Photo credit: Schwartz, H. Photo credit: USDA Verticillium wilts Photo credit: Johnson, D. Photo credit: OMAFRA Photo credit: Johnson, D. Photo credit: Atallah, Z. Photo credit: Dara, S. Photo credit: Brantner et al. 2008
3 Verticillium wilt of mint
4 Verticillium wilt of mint
5 Verticillium wilt of mint
6 Verticillium wilt of mint
7 Verticillium wilt of mint
8 Verticillium wilt of mint
9 Verticillium wilt of mint
10 Verticillium wilt of mint
11 Verticillium dahliae diversity
12 Microbial diversity
13 D.A Johnson
14 Latitude Sample collection Longitude
15 Latitude Sample processing nematode quantification bioassay Verticillium dahliae quantification Longitude
16 Latitude Wilt assessment Wilt foci were counted along transects for each field quarter Longitude
17 Log(V. dahliae DNA (fg)) Log(foci/quarter) Inoculum and wilt in fields Fields
18 Log(foci/quarter) Inoculum is related to wilt in fields Log(V. dahliae DNA (fg))
19 Log(foci/quarter) V. dahliae, Pratylenchus spp., cultivar, and crop age are related to wilt Log(V. dahliae DNA (fg)) Log(Pratylenchus spp./250 g of soil) Cultivars Years in mint
20 Predictors Importance of predictors MLR GAM 2 2 R adj = 0.46 R adj = 0.40 RF 2 R adj = 0.43 R adj ANN 2 = 0.46 Importance
21 Impact of predictors on wilt
22 Age of mint crop (years) log(pratylenchus spp./ 250 g of soil) Impact of predictors on wilt log(verticillium dahliae/g of soil) Cultivars
23 V. dahliae inside and outside of foci V. dahliae was quantified from inside and outside of wilt foci in 5 foci/field from three fields in WA Ct Values
24 Location relative to focus True positive rate Scale matters! False positive rate Ct Values Accuracy = 0.7 Sensitivity (true positive rate) = 0.7 Specificity (true negative rate) = 0.7
25 Nematodes predict a fungal disease of plants Looks can be deceiving Wilt of mint can be predicted from: Pratylenchus spp., cultivar, crop age, & V. dahliae Scale matters Foundation for predictive tools Some variation has yet to be explained
26 Identify genotype differences 2 genotypes Image credits: V.Brewster & J.Ewing
27 Identify genotype differences 2 genotypes Sample Image credits: V.Brewster & J.Ewing
28 Identify genotype differences 2 genotypes Sample Sequence and quantify expressed genes Proteins RNA DNA Image credits: V.Brewster & J.Ewing
29 Identify genotype differences 2 genotypes Sample Sequence and quantify expressed genes Compare gene expression between genotypes & across plants Proteins RNA DNA Image credits: V.Brewster & J.Ewing
30 Identify genotype differences 2 genotypes Sample Sequence and quantify expressed genes Compare gene expression between genotypes & across plants Proteins Validation RNA DNA Image credits: V.Brewster & J.Ewing
31 WA & OR Mint Growers Acknowledgements
32 Photo credit: Schwartz, H. Photo credit: Photo Schwartz, credit: USDA H. Questions? Photo credit: Johnson, D. Photo credit: OMAFRA Photo credit: Johnson, D. Photo credit: Atallah, Z. Photo credit: Dara, S. Photo credit: Brantner et al. 2008
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