Supplementary material: Metagenomic nanopore sequencing versus conventional diagnosis for identification of the dieback pathogens of mango trees.docx
Supplemental Material
Figure S1. Features of Dieback Disease observed in mango trees, A: the shape of the leaf in the early stage of infection, B: the shape of the leaf in an advanced stage of infection, C, D: symptoms in the fruit itself
Figure S2. A: Longitudinal section of stem showing vascular tissues in a healthy tree, B: Longitudinal section of stem showing brown vascular tissues of dieback diseased tree, C: a picture of dieback disease in an infected tree.
Figure S3. Mycelial fungal growth on PDA of the recovered fungi from root soil. A; Fungal isolate-1; B, Fungal isolate-2.
Figure S4. Nanopore metagenomic sequence analysis wheel showing the percentage of Ceratocystis huliohia and Colletotrichum gloeosporioides present in the sample, but were underrepresented
Figure S5. Nanopore metagenomic sequence analysis wheel showing the 30% of reads classified as bacteria with different types such as E. coli, Sinorhizobium, Bradyrhizobium and Rhodoplanes
Figure S6. Nanopore metagenomic sequence analysis wheel showing different species from Pseudomonas such as Pseudomonas stutzeri, Pseudomonas syringae, and Pseudomonas qingdaonensis
Figure S7. Nanopore metagenomic sequence analysis wheel showing 37 species from actinomycetes group including, Micrococcales, Micromonosporaceae, Streptomycetaceae, Pseudonocardiaceae and Propionibacteriales
Figure S8. Nanopore metagenomic sequence analysis wheel of the control root-soil sample the percentage of bacteria (55%), Archaea (0.3%), Fungi (0.1%)
Figure S9. Nanopore metagenomic sequence analysis wheel of a control soil sample, 100% were of the Dikarya subkingdom including, Ascomycota (87%), and Basidomycota (13%).
Figure S10. Nanopore metagenomic sequence analysis bacteria wheel of a control soil sample showing Proteobacteria (50%), Terrabacteria (33%), PVC bacterial group (3%) and others.
Table S1. The parameters used for the statistical Data analysis of NMS of the detected microbiota of the collected soil samples from the diseased trees.
Table S2. The parameters used for the statistical Data analysis of NMS of the detected potential pathogens of the dieback disease of the collected soil samples from the diseased trees.
