Source: NUPHY, INC. submitted to
IMPROVED VIRUS SCREENING OF HORTICULTURAL CROPS USING A DOUBLE-STRANDED RNA SEQUENCING-BASED APPROACH
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
1025819
Grant No.
2021-33530-34509
Cumulative Award Amt.
$99,991.00
Proposal No.
2021-01573
Multistate No.
(N/A)
Project Start Date
Jul 1, 2021
Project End Date
Feb 28, 2022
Grant Year
2021
Program Code
[8.2]- Plant Production and Protection-Biology
Recipient Organization
NUPHY, INC.
1615 NE EASTGATE BLVD STE 3
PULLMAN,WA 991635300
Performing Department
(N/A)
Non Technical Summary
Global economic impact of pathogenic plant viruses is valued at $60 billion. In the US, for apple and cherry alone, these losses total up to $678 million annually. Detection of viruses is a critical priority to mitigate spread of diseases that threaten horticultural crop health, fruit yield, and quality. The current methods for virus diagnostics are low-throughput and limited to detection of individual viruses with established sequence information. In contrast, double-stranded RNA sequencing (dsRNAseq) is capable of screening large numbers of samples for all viruses in a single workflow.This project will evaluate the feasibility of using a dsRNAseq-based platform for broad-spectrum, high-throughput virus screening in horticultural crops.During Phase I, we aim to develop an accurate, rapid, cost-effective dsRNAseq-based system of broad-spectrum tree fruit virus detection. To do this, we will firstestablish virus detection limits (sensitivity) of dsRNAseq in infected cherry tissues and determine the optimal tissue type for sequencing-based analysis using Little Cherry Virus as a case study. We will then optimize the high-throughput dsRNAseq workflow and establish a customized data analysis pipleline through testing of infected and healthy tissues from cherry, apple, and pear trees. Finally, we will establish a strategy for seamless results reporting that will be both informative and user-friendly for our targetclient base.The ultimate goal that NuPhY aims to achieve through this work is the successfulinnovation andoptimization of a virus diagnostic platform for horticultural cropsthat can quickly be deployed as a service to US tree fruit growers and nursery managers.Ultimately, our technological solution has the potential to pre-emptively mitigate economic losses associated with viral pathogens, while enhancing efficiency and sustainability within US horticulture industries.
Animal Health Component
30%
Research Effort Categories
Basic
10%
Applied
30%
Developmental
60%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
2121119110150%
2011119104050%
Goals / Objectives
The goal of this Phase I SBIR project is to demonstrate the feasibility of developing a new double-stranded RNA sequencing (dsRNAseq)-based virus screening platformthat will serve growers and nurseries of the U.S. horticulture industry. This goal will be supported by the following objectives:Objective 1:Determine virus detection limits of dsRNAseq;Compare the detection limit of RT-PCR and dsRNAseq for Little Cherry Virus 2 (LChV-2).To establish successful high-throughput sequencingassays, it will be important to determine the virus detection limits of dsRNAseq, and how these limits compare to those of standard, RT-PCR methods. We aim to give our clients the option to either run their samples as individual sequencing library preparations, or to run them as pools of multiple samples in a single library preparation. The latter is a desirable strategy for detecting the presence virus in a large orchard block or group of plants without having to screen each individual initially. Establishing detection limits will inform the maximum number of samples that can be pooled for screening at once. We aim to move toward screening large pools of samples whilst guaranteeing that a single infected sample in a pool of multiple samples could be detected. Detection limits of each diagnostic tool will be determined through comparing assays of pooled infected and healthy materials in a series of ratios (1:0, 1:10, 1:20, 1:50, and 0:1).Wewill also conduct comparative assays to determine what tissue types(e.g., leaf, bark, budwood, orin vitrotissue)are best suited for viral RNA extraction and detection.Objective 2:Optimize dsRNAseq workflow and data analysis; test infected and healthy materials from cherry, apple, and pear.Following establishment of detection limits, we will need to verify that that these limits are the same in multiple crops and determine optimal protocols to be used throughout the diagnostic pipeline, from sequencing to data analysis.We will optimize our workflow for dsRNAseq and downstream data analysis to establish a pipeline that can be rapidly utilized for analysis of different horticultural crops.Additionally, we will determine a downstream bioinformatics pipeline that will be used for sequence read processing, viral genome assembly, and taxonomic classification.Completion of Objective 2 will allow us to confidently sequence multiple barcoded samples containing dsRNA representing an array of known viruses in a single run and to successfully detect anyviruses present in all samples sequenced.
Project Methods
Efforts and EvaluationObjective 1: Determine virus detection limits of dsRNAseq; Compare the detection limit of RT-PCR and dsRNAseq for Little Cherry Virus 2 (LChV-2).Material Acquisition: We will obtain a variety of cherry tissues (e.g., leaf, bark, andin vitrocultures, and budwood) that are known to be infected with LChV-2 from Dr. Scott Harper, Director ofCPCNW.The CPCNW (the Washington-based NCPN center) offers such tissues for diagnostic labs to validate their virus detection methods prior to deployment of screening services. Tissues will be flash frozen in liquid nitrogen immediately following harvest and maintained in -80ºC storage. Following dry ice shipment of samples to the NuPhY Pullman Facility, samples will be maintained once again at -80ºC. Clean cherry plant materials, verified to be virus-free by CPCNW and NuPhY and maintained in the same storage conditions as the positive controls, will serve as the clean material used in dilutions.RNA Extraction, Pooling, and dsRNA Enrichment:For each tissue type (leaf, bark, budwood,in vitrocultures), samples will be pulverized under liquid nitrogen to ensure complete cellular disruption to release viral and viroid nucleic acids using the Geno/Grinder (ThermoFisher). RNA will be extracted from 10 verified clean samples and from 10 LChV2-infected samples using RNeasy Plant RNA Extraction Kits (Qiagen Inc., USA). NuPhY has developed proprietary modifications to this method, and additional modifications recommended by the NCPN will be incorporated into the protocol. These modifications alleviate co-purification of inhibitors along with the RNA, and additions such as anti-foaming agents ease purification.Extracted RNAs will be adjusted to the same final concentrations and combined to form a single 'Healthy' sample pool and a single 'Infected' sample pool. Samples to be analyzed by RNAseq will undergo dsRNA enrichment prior to preparation of replicate dilutions in series. The MBL Plant Viral dsRNA RNA Enrichment Kit (MBL International Corporation, Woburn, MA) will be used to enrich the 'Healthy' and 'Infected' sample pools according to the manufacturer's instructions.Preparation of Sample Dilution Series:Dilutions will be prepared using the 'Infected' and 'Healthy' sample pools in the following ratios: 1:0 (undiluted infected), 1:10, 1:20, 1:50, 0:1 (uninfected). Pooling will be done based on concentration. Following comparative assessment of the two analytical methods, it may be necessary to conduct additional dilutions to produce concentration that fall between, or below, those produced by the five original dilution ratios. Final quantification prior to sequencing will be conducted using a Qubit 2.0 Fluorometer. Samples will be eluted in nuclease-free water, per WSU Genomics Core sequencing center recommendations (with which we have a facility use agreement), and quantified to ensure that at least 10 ng, the minimum amount of RNA required for sequencing, are present for each.RT-PCR assays:RT-PCR assays will be conducted using a modified version of the CPCNW-prescribed method, which is the same protocol that NuPhY has used over the past nine years. Briefly, normalized RNA is added to a reaction mixture consisting of qScript XLT 1-Step RT-PCR kit (Quanta Bio) and multiplexed primer sets, and assays arerun on aC1000 Touch PCR System (Bio-Rad). Our proprietary methods can detect up to 5 viruses and an internal positive control in one reaction. Amplicons are detected using a QIAxcel Advanced System (Qiagen), available at NuPhY, equipped with a DNA High Resolution detection kit, which allows discrimination in band size of up to 3-5 base pairs.Double-stranded RNA Sequencing, Mapping, and Analysis:Double-stranded RNA sequencing will be conducted according to recently published protocols for woody perennial species. Briefly, samples enriched for dsRNA will undergo library preparation and sequencing at the WSU Genomics Core facility (Spokane, WA). RNA will be subjected to shearing, size selection, and adapter ligation using the TruSeq Total RNA library.The Illumina HiSeq 2500 platform will be used to generate approximately 200 million, 100 base pair paired-end reads in a single sequencing lane. We will sequence a total of three lanes: one lane per tissue type. Each lane will include 15 total RNA libraries, representing the three, individually barcoded, dsRNA-enriched technical replicates from each of the five aforementioned dilution pools. Virus detection will be achieved by mapping the reads to the LChV-2 genome (GenBank: MG881767.1) using the Geneious Prime Pro software (Version 2020.2). The results of the dilution series comparison will inform our decision for the maximum level of dilution that can be employed for this dsRNAseq workflow.ComparativeEvaluationof Diagnostic Approaches:Once sequencing results are received and RT-PCR assays performed we will conduct a comparative analysis of detection limits for both processes.For dsRNA-seq-based assays, the limit will be determined based on set minimum depth of coverage requirements.For RT-PCR-based assays, detection limit will be determined based on presence/absence of a target amplicon. The entire process will be repeated for the following tissues: leaf, bark, budwood andin vitrosample.Objective 2: Optimize dsRNAseq workflow and data analysis; test infected and healthy materials from cherry, apple, and pear.Acquisition of Material:We will obtain a diverse selection ofinfected and healthy cherry, apple, and pear materials from different parts of Washington State with the assistance of Bernardita Sallato of WSU IAREC. The virus-infected apple samples will include a selection of tissues previously verified by the CPCNW to harbor one or more of the following viruses: ACLSV, ApMV, ASGV, ASPV, AFCVd, and ASSVd.Similarly, diseased cherry samples will include tissues infected with: CGRMV, CLrV, CMLV, CNRMV, CRLV, and CTLaV. Finally, diseased pear tissues will include those infected with: PBCV, ACLSV, ASGV, ASPV.RNA Extraction and dsRNA Enrichment:Will be conducted as described for Objective 1.Post-extraction Sample Pooling:Extractions from the 10 infected and 10 healthy samples from each species will be pooled, and a total of six, individually-barcoded dsRNA libraries (1 infected and 1 healthy library per species) produced.Double-stranded RNA Sequencing:Sequencing will be conducted as per Objective 1. The sequencing run will include six, dsRNA-enriched, RNA libraries, representing one healthy and one infected sample pool from each of the three tree fruit species (apple, cherry, and pear). Read Mapping and Establishment of Bioinformatics Pipeline:Mapping will be conducted using the CLC Genomics Workbench (version 8.0). Briefly, paired end reads for each library will be imported, quality checked, trimmed, and merged (if possible) based on a previously established pipeline. Next, reads will be mapped to a custom viral database, created from all known horticultural crop viruses with genomic information available on NCBI, to separate viral reads from all other transcripts. Additionally, we can map reads to the entire database of viral genomes for potential identification of novel viruses.To establish an optimized analysis pipeline that balances efficient viral genomic analysis with usability, we will conduct a comparativeevaluationof three open-source software programs (Virus Detect, VSD Toolkit, and Virfind) that have been established for plant virus detection and one subscription-based software program (OmicsBox) that we have previously employed for genomic analysis. Ultimately, we will adapt the selected analytical platform(s) to rapidly detect and report on the presence/absence and identity of viruses in each sample tissue.Evaluationof Service:Dr. Scott Harper of CPCNW, will assess the data analysis workflow, and provide validation of the diagnostic platform.

Progress 07/01/21 to 02/28/22

Outputs
Target Audience:Target Audience: The target audience includes members ofthe US horticulture industry. For Phase I, we are addressing the growers and nurseries of thefruit tree sector of theindustry. Indisseminating preliminary results of our viral diagnostic platform development as well asfuture goals for this work at a regional horticulture conference, we have also garnered interest from other sectors, including the hops, grapevine, and hazelnut industry, to name a few. Efforts: Thus far, efforts have included developing andassessing feasibility of a viral enrichment-based sequencing platform for pathogen diagnostics; documenting the resulting outcomes and next steps; coordinating with the subaward institution regarding sequencing data analysis;training a Graduate Research Intern; and extension and out reach at an annual horticulture meeting and via interviews with Washington State magazine and a university newspaper. Changes/Problems:While we hypothesizedthat dsRNA enrichment would be the best method for optimizing sequencing-based virus detection, we have established that our back-up strategy of using ribosomal depletion to enrich for viral material is actually more feasible and efficient. Thus, we needed to modify our strategy for viral enrichment while retaining the essence of our objectives.We intend to include a detailed summary of our efforts using the dsRNA method, as well as the reasoning behind why ribosomal depletion-based enrichment will be the best pre-sequencing method moving forward,in our Phase II proposal. Ultimately, the outcome of successful viral enrichment (regardless of the strategy used to acheive it) is expected to facilitate more efficient and early detection of viral infections in crops. Another challenge we have encountered is that, due to the pandemic, turnaround time for RNA sequencingat theWSU Genomics Corehas been longer than expected. This has meant that most of our sequencing work is being completed towards the end of the project. For the future, we are assessing other alternatives, including purchasing our own sequencing unit or using another sequencing center,to be able to acheve the goal of providing timely horticultural crop diagnostics at a competitive price. Ultimately, we would like to do all of our library preparation and sequencing in-house. What opportunities for training and professional development has the project provided?The PI and Co-PI have had the opportunity to advance their expetise insequencing and PCR-detection levels of plant pathogens, specifically for horticultural crops.The knowledge they have gained, and the applications of this knowledge, set them upto advance the technology further and to be competitive as molecular biologists and genomic data analysts in the horticulture industry. The PI has also honed her skillset in genomic data analysis; through collaboration with the subaward institution, she has advanced her knowledge of how to utilize genomics software programs like CLC genomics workbench, which will be critical for the future of this project. In addition to the training and professional development opportunities this project has afforded the project leads, the Co-PI had the opportunity to train a Graduate Research Intern in the processes of plant RNA isolation, PCR-based diagnostics, communication with consulting groups (like the genomics core). The Co-PI also had the opportunity to network with industry members and share preliminary results of our sequencing-based diagnostic platform at the Washington State Tree Fruit Association's annual meeting.? How have the results been disseminated to communities of interest?The co-PI attended the Washington State Tree Fruit Association's annualmeeting where she networked with industry members and shared the status of the RNAseq-based viral detection methods that are in NuPhY's pipeline. The present work has been well received and has generated a great deal of interest from the industry, which has led to follow-up conversations and project planning. Additionally, the PI and NuPhY's CSO engaged in two interviews, one with the Washington State Magazine and the other with the Daily Evergreen (WSU Newspaper) to share the goals for the high-throughput sequencing-based pathogen diagnostics in the horticulture industry and to disseminate results of the work thus far. The Washington State Magazine interview was published in the Winter 2021 issue, and the Daily Evergreen interview is currently in press. What do you plan to do during the next reporting period to accomplish the goals?We will complete data analysis and results summary from the initial round of sequencing. In the coming weeks, we have some additional samples to send to sequencingwhich will facilitate more precise determination ofthe point at which RT-qPCR and RNAseq (ribosomal depleted and standard) differ in detection limits. We are in the process of isolating RNA for this last round of sequencing and expect to have the data ready to analyze by the third week of February. By the time of the next report,will have completed a comprehensive summary of the outcomes and next steps for our Phase II application.

Impacts
What was accomplished under these goals? Objective 1: We found that our back-up strategy ofribosomal depletion-based enrichment (rather than dsRNA enrichment)is the best strategy for viral enrichment for sequencing moving forward. We are currently in the process of establishing detection limits of ribosomal RNA depletion-based sequencing compared to standard RNA sequencing and PCR in different tissue types (leaf, bark, midrib), using Little Cherry Virus 2 as a case study. To do this, we produced dilution series with the highest dilution factor being 1:500 (infected-clean), based on the limits we established for PCR-based detection. One half of the diluted material was subjected to ribosomal depletion prior to sequencing and the other half was not. We have just received the sequencing results back from the WSU genomics core and are now in the process of analyzing them in conjunction with the subaward institution. Objective 2: As planned, we have sequenced infected materials (containing multiple, known viruses) from cherry, apple, and pear. We have just received the sequencing results back from the WSU genomics core and are now in the process of analyzing them in conjunction with the subaward institution. We will have results to report on this objectiveby the end of the month.

Publications


    Progress 07/01/21 to 02/28/22

    Outputs
    Target Audience:Target Audience: The current target audience includes members of the US horticulture industry, although ultimately we can expand our technology to serve any crop production industry. For Phase I, we addressed the growers and nurseries of the fruit tree sector of the horticulture industry. In disseminating preliminary results of our viral diagnostic platform development as well as future goals for this work at a regional horticulture conference, we have also garnered interest from other sectors, including hops, hemp, grapevine, and hazelnut industries, to name a few. Efforts: We developed, and established feasibility of, a viral enrichment-based sequencing platform for pathogen diagnostics; documentedthe resulting outcomes and next steps; coordinatedwith the subaward institution regarding sequencing data analysis; traineda Graduate Research Intern; and particpated in extension and outreach at an annual horticulture meeting, as well as via interviews with Washington State magazine and a university newspaper. We summarized the Phase I efforts in detail in our Phase II application. Changes/Problems:As indicated by the title of our Phase I proposal and in the original Phase I objectives, our Plan A was to conduct the pre-sequencing viral enrichment step by selectively increasing the concentration of double-stranded RNA (dsRNA) in the samples--the logic being that dsRNA is the form that actively replicating viral genomic material takes. We found that the dsRNA extraction kit that we had proposed to use was no longer in production. Moreover, an alternative kit was available, which we tested. However, we found that this kit was sub-optimal for several reasons. First, it required a PCR amplification step post dsRNA extraction, which further extended the time and labor to process the samples. Second, and most importantly, it yielded extremely low quantities of genetic material that were not conducive to sequencing library preparation; while we were able to sequence dsRNA libraries, achieving library preparations of sufficient quality to sequence was a major challenge. Because of these limitations, we concluded that dsRNA enrichment was not the ideal strategy, and we proceeded with our alternative. Our Plan B strategy (which we had also specified in the Phase I proposal) of viral enrichment via depletion of plant ribosomal RNA prior to HTS proved to facilitate far greater sensitivity of detection than dsRNA enrichment, and thus, we adjusted our methodology accordingly for the remainder of our Phase I work (also see section on goal accomplishments). What opportunities for training and professional development has the project provided?The PI and Co-PI have had the opportunity to advance their expertise in sequencing and PCR-detection levels of plant pathogens, specifically for horticultural crops. The knowledge they have gained, and the applications of this knowledge, set them up to advance the technology further and to be competitive as molecular biologists and genomic data analysts in the horticulture industry. The PI has also honed her skillset in genomic data analysis; through collaboration with the subaward institution, she has advanced her knowledge of how to utilize genomics software programs like CLC genomics workbench, which will be critical for the future of this project. In addition to the training and professional development opportunities this project has afforded the project leads, the Co-PI had the opportunity to train a Graduate Research Intern in the processes of plant RNA isolation, PCR-based diagnostics, communication with consulting groups (like the genomics core). The Co-PI also had the opportunity to network with industry members and share preliminary results of our sequencing-based diagnostic platform at the Washington State Tree Fruit Association's annual meeting. Another major opportunity for training and professional development that this project provided was the TABA services provided by the Larta Institute. We worked with our principal advisor to develop a compelling commercialization plan, and are in ongoing communication with a Marketing and Branding Specialist and a Customer Discovery Framework Specialist. These services have been instrumental in our understanding of how best to advance our service platform beyond the R&D stage. How have the results been disseminated to communities of interest?The co-PI attended the Washington State Tree Fruit Association's annual meeting where she networked with industry members and shared the status of the RNAseq-based viral detection methods that are in NuPhY's pipeline. The present work has been well received and has generated a great deal of interest from the industry, which has led to follow-up conversations and project planning. Additionally, the PI and NuPhY's CSO engaged in two interviews, one with the Washington State Magazine and the other with the Daily Evergreen (WSU Newspaper) to share the goals for the high-throughput sequencing-based pathogen diagnostics in the horticulture industry and to disseminate results of the work thus far. What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

    Impacts
    What was accomplished under these goals? Results from Technical Objective 1: 1.) Rather than dsRNAseq based enrichment, ribosomal depletion-based enrichment proved a more effective strategyin the context of our platform. Prior to beginning our Phase I R&D, we expected that viral double-stranded (ds)RNA enrichment would be the best strategy for maximizing viral genetic material present in RNA samples prior to sequencing, as it would entail removal of the most non-viral genomic material prior to sequencing library preparation. This was not the case, with our dsRNA enrichment methods proving suboptimal (see challenges section). However,our secondary, ribosomal depletion strategy was successful. Ribosomal RNA represents a majority of plant genetic material in the samples; by removing this material, we effectively reduced the amount of sequenced material by approximately 90%, thereby facilitating a larger data allocation to any viral materials present. Unlike the dsRNA approach, this strategy can be done in conjunction with the library preparation step and, thus, it is more efficient with regards to time, labor, and cost. 2.) Using Little Cherry Virus 2 (LChV-2) as a case study, we identified the viral detection limits of ribosomal depletion-aided RNAseq versus RT-qPCR, determining that our viral enrichment and sequencing-based strategy is extremely sensitive. We also compared the detection limits of the dsRNAseq, as well as to those of standard RNAseq (without the precursor ribosomal depletion step).To establish detection limits, we generated a dilution series to identify the point at which each method was no longer able to detect a small amount of viral genetic material in the midst of a large amount of uninfected plant RNA. In order to reduce detection capacity enough to compare each screening method, we found that an extremely high dilution factor was required (up to 1,000 million x). While RT-qPCR detected virus in infected samples diluted up to 1 million times the starting concentration with clean RNA, RNAseq with the preceding ribosomal depletion step facilitated detection in infected samples diluted up to 100 million times with clean RNA. At a dilution of 1000x, both standard RNAseq (no viral enrichment step prior) and dsRNAseq were no longer able to detect the viral infection. Our alternate approach improved detection limit by two orders of magnitude over that of RT-qPCR. Overall, these results show that the capacity to detect viral material, even in highly diluted samples, is far superior in the samples subjected to viral enrichment via ribosomal RNA depletion prior to RNAseq. With this information, we can now confidently provide our clients with the option to either run their samples as individual sequencing library preparations, or to run them as pools of multiple samples in a single library preparation. 3.) In assessing viral detection capacity and the robustness of our platform for LChV-2 in different tissues, we determined that leaf tissue is the optimal tissue type for diagnostic analysis, but infections can be successfully detected in other tissue types. Consistent with our results above, the viral infection was easily detected via our enrichment aided HTS platform in all tissues; however, the leaf sample displayed the highest number of mapped sequencing reads, followed by midrib, and then by bark. Even though the leaf proved to be the best tissue in which to sensitively detect virus, we now know that we can still detect viruses at low titer in other structures at times of the year when leaves are not present; we will just need to be cognizant of the fact that detection limits are reached sooner in bark, and reducing the number of samples sequenced together in a run can facilitate greater data distribution to this low-titer viral genomic material. Results from Phase I Technical Objective 2: 1.) In sequencing infected materials containing multiple, known viruses from cherry, apple, and pear tissues, we successfully established that the detection capacity for RNAseq identified in Technical Objective 1 are comparable across different crops infected with a variety of different viruses.To establish that our screening platform is crop agnostic, infected cherry, apple, and pear leaf tissues were obtained from Dr. Scott Harper at the Clean Plant Center Northwest. The collected samples were previously confirmed by CPCNW to be infected with severalviruses. During the collection of these infected samples, Dr. Harper indicated that additional viruses/viroids were thought to be present beyond those that had been confirmed; thus, we expected sequencing to reveal these additional pathogens.For each crop, sequencing successfully detected all viruses that the CPCNW had documented to be present in the infected samples, as well as several previously unknown viruses. Many of the viruses detected by sequencing that were not known to be present prior to our high-throughput screening are not viral pathogens that are commonly associated with apple, cherry, or pear (e.g., hop and citrus viruses/viroids were detected). There are a couple of important takeaways from this finding. The first is that this outcome is a testament to the ease by which viruses spread--when samples were collected from CPCNW, many infected plants from multiple crop species in addition to apple and pear were quarantined together in the same room, providing ample opportunity for viral transmission between plants, (via insect vectors, human vectors, air circulation, or direct plant-to-plant contact). The second takeaway is that if standard methods for detection are used, and only viruses of primary interest targeted, there is the potential to misdiagnose a virus infected plant as clean, simply because the viruses of interest were not detected by a targeted RT-qPCR assay. Thus, these findings are an important demonstration of why comprehensive sequencing-based detection is necessary to provide an appropriate diagnosis of horticultural crop infection status. 2.) As part of Technical Objective 2, our collaborators at WSU aided the establishment of a downstream bioinformatics pipeline that we will use moving forward for sequence read processing and analysis in our viral diagnostic work.In assessing a number of software programs for detection of viral sequences as well as for general sequencing data analysis, both open-source and subscription-based, they determined that the Qiagen CLC Genomics Workbench suite provided excellent tools for sequence read mapping and analysis that are both user-friendly and widely applicable to many applications beyond just virus detection. Thus, this will be a critical tool for viral diagnostics and any other sequencing-based work moving forward, including whole genome-assembly based work that may be necessary if any novel viruses are discovered in the process of diagnosing infections in our clients' crops.

    Publications