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5. References
3. Sequence Analysis & Diagnosis (Example Using Coriander)
Next Generation Sequencing offers a high throughput and un-
biased technology to detect and diagnose plants symptomatic
with unknown diseases. These sequenced plants can also
generate complete genomes and characterise new viruses. We
have proved its potential and now we are researching on methods
to improve diagnostics and deliver these results worldwide,
making an impact rapidly for response to diseases.
2. Methods & Materials
RNA Extraction
• Lyse Samples Using Liquid Nitrogen
• RNA extracted using RNeasy kits®
• Calculate RNA yields using Spectrophotometer
Library
Prep
• cDNA Synthesis from RNA
• Ligation of adapters onto synthesised cDNA
• Loading into MiSeq Cartridge Sequencing Kit
Sequence
& Analysis
• MiSeq run – Quality > 30
• Alignment of reads using Trinity1
• Further analysis utilising BLAST and MEGAN2
1. Introduction
Plant pathology begins by analysing symptoms, often
these methods can take time and potentially bias results
due to the focus on symptomatic plants. Next Generation
Sequencing (NGS) offers an alternative method to
diagnose plants without bias by directly sequencing
symptomatic and asymptomatic plants. We are utilising
the MiSeq to sequence and analyse the RNA present in
samples to determine rapidly the cause of disease
symptoms which are mainly plant viruses.
Sample Species Sequencing & Diagnosis Results Future Directions
Pepper (UK) Genome of Pepper mild mottle virus PMMov Forward onto Plant Virology
Phlox (UK) Detected Spiranthes Mosaic Virus 3 SpiMV3 New disease in the UK reported
Parsley (UK) Novel Rhobidoviridae detected Koch's postulates testing
Coriander (UK) Possible novel Potyvirus Genome Annotation
Maize (Kenya) Maize Lethal Necrosis viruses Reported back to Kenyan partners
Lily (UK) No Conclusive Viruses Detected Virology now reanalysing symptoms
Carrot (UK) Novel combinations of mottle viruses Forward into disease management
Tomato (Sweden) Novel Tomato virus detected Reported to Virology for analysis
Table 1. Highlights the diversity of samples that NGS can be utilised for, the international sources and the
findings of diagnostics. Importantly there is always a direction for the future utilising these results.
MSc Bioscience Technology Department of Biology SURAJ RAI
DR. IAN ADAMS
NEXT GENERATION SEQUENCING AS A PLANT DISEASE DIAGNOSTIC TOOL
Figure 2. Methods to Sequence.
→ Preserving the RNA and trying to
gain a good yield of RNA using
ng/µl, 260/280 ratios and
absorbance peaks are crucial.
→ Ligating synthesised cDNA with
adapters to be able to pool samples
and sequence allows us to multiplex
entire batches of different samples.
→ Sequencing and monitoring to
maintain quality above >30,
alignment of the sequences and
BLAST and MEGAN to determine
disease source.
Figure 1. The MiSeq Bench top Sequencer
The analysis of the Coriander (UK) sample diagnosed with a possible novel
Potyvirus utilised a complementary poly protein sequence generated from
the sequenced bases, alongside further research into the Potyviridae
species and known cleavage sites to annotate the genome3. Overall this
allowed us to create a genome organization map for the unknown Potyvirus
Figure 4. This organization map allows us to then BLAST the individual
mature proteins to then classify our new Potyvirus and generate a tree.
Figure 3. Coriander sample with symptoms Figure 4. The Genome Organization Map of Novel Potyvirus.
Shows the ten mature proteins produced by the Novel Portyvirus. This map is further used to separate and BLAST individual proteins for classification. Information on each protein can be found in Adams et al3.
4. Conclusions Within our example for Coriander (UK) we concluded that the cause of yellowing was caused by the VDMV and are now writing a genome annotation paper to share the sequence. Overall this poster highlights the potential of NGS as a plant disease diagnostic tool, how extra resources are required and how important bioinformatics to confirm any data. Next Generation Sequencing is now becoming an accepted diagnostic tool for plant pathology5. Crucial aspects in its use are generating a good library and the correct use of bioinformatics on the sequenced data. Particular care must be given in analysis by utilising extra information to confirm any results.
Figure 5. Novel Potyvirus Coat Protein Tree. The key criteria for species demarcation within the Potyviridae family is a sequence identity of less than 76% in the Coat protein4. The novel Potyvirus matches significantly with the coat protein of the Vanilla Distortion Mosaic Virus (VDMV). Following the taxonomic guidelines and as due to no sequence available for the VDMV we suggest that our Potyvirus is either a new strain of or simply VDMV.
1- Grabherr MG, Haas BJ, Yassour M, Levin JZ, Thompson DA, Amit I, Adiconis X, Fan L, Raychowdhury R, Zeng Q, Chen Z, Mauceli E, Hacohen N, Gnirke A, Rhind N, di Palma F, Birren BW, Nusbaum C, Lindblad-Toh K, Friedman N, Regev A. Full-
length transcriptome assembly from RNA-seq data without a reference genome. Nat Biotechnol. 2011 May 15;29(7):644-52
2-Huson, DH, Mitra, S, Weber, N, Ruscheweyh, H, and Schuster, SC (2011). Integrative analysis of environmental sequences using MEGAN4. Genome Research, 21:1552-1560
3-MICHAEL J. ADAMS, JOHN F. ANTONIW AND FREDERIC BEAUDOIN. MOLECULAR PLANT PATHOLOGY (2005), 6, ( 4 ) , 471–487 Overview and analysis of the polyprotein cleavage sites in the family Potyviridae.
5- Virus Taxonomy, Classification and Nomenclature of Viruses, Ninth Report of the International Committee on Taxonomy of Viruses Editors Andrew M.Q. King, Michael J. Adams, Eric B. Carstens, and Elliot J. Lefkowitz
6- K. Prabha, V. K. Baranwal, R. K. Jain. Indian Journal of Virology May 2013 Applications of Next Generation High Throughput Sequencing Technologies in Characterization, Discovery and Molecular Interaction of Plant Viruses