Source: UNIV OF HAWAII submitted to
DETECTION AND TRACKING SYSTEM FOR BACTERIAL THREATS TO POTATO AND VEGETABLE INDUSTRIES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
NEW
Funding Source
Reporting Frequency
Annual
Accession No.
1030040
Grant No.
2023-67013-39301
Project No.
HAW09706-G
Proposal No.
2022-11234
Multistate No.
(N/A)
Program Code
A1181
Project Start Date
Mar 15, 2023
Project End Date
Mar 14, 2025
Grant Year
2023
Project Director
Arif, M.
Recipient Organization
UNIV OF HAWAII
3190 MAILE WAY
HONOLULU,HI 96822
Performing Department
(N/A)
Non Technical Summary
Pectobacterium and Dickeya, two key genera, have been cited among the top ten bacterial plant pathogens limiting crop yields and threatening global food security.Species in both genera are globally distributedand cause considerable damage globally.Detection of both common and emerging species in propagative materials is essential to plant biosecurity.This proposal addresses the critical need to enhance our national crop biosecurity capacity by developing methods that can accurately detect, differentiate, and track origins of distinct species/strains of PectobacteriumandDickeya that threaten the potato and vegetable industries. The method includes bacterial genome sequencing, developing genome databaseand analyses that can accurately detect and differentiate the PectobacteriumandDickeyaspecies. The database and NextStrain pipeline can be used for global transmission ofPectobacteriumandDickeyaspecies. The ultimate goal of this project is todevelop a robust and highly accurate genome database and pipeline for plant pathogens to support farmers, seed producers, stakeholders, and government agencies.This project willstrengthen national crop biosecurity.
Animal Health Component
0%
Research Effort Categories
Basic
30%
Applied
70%
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
21213101100100%
Knowledge Area
212 - Pathogens and Nematodes Affecting Plants;

Subject Of Investigation
1310 - Potato;

Field Of Science
1100 - Bacteriology;
Goals / Objectives
The goal of this project is to construct a genome database, including all type and reference strains from different geographical locations, and establish a pipeline that can use this database to accurately detect and identify the SRP in a sample.The specific objectives of this proposal are: 1) develop a genome database for SRPs to enhance capabilities for rapid detection and strain tracking; and 2) validation of "BacPath" pipeline for robust detection and differentiation of SRPs.The long-term goal of this research project is to develop a robust and highly accurate genome database and pipeline for plant pathogens to support farmers, seed producers, stakeholders, and government agencies.
Project Methods
OBJECTIVE 1: To develop a genome database for SRPs to enhance capabilities for rapid detection and strain tracking in global pathways.Genome sequencing and data validation: A total of 600 genomes of Dickeya and Pectobacterium genera are available in the GenBank but only 142 (Pectobacterium = 87; Dickeya = 55) are complete genomes. All complete genomes and some draft genomes (after validating for quality and metadata accuracy) will be included in the new database. Additionally, about 150 complete genomes (2-5 genomes for each species) representing different species and genomes of all type strains that are currently unavailable in the NCBI database, will be sequenced using Nanopore MinION and Illumina NovaSeq and hybrid assembliesusing TryCycler, which derives a consensus assembly after running multiple assemblers, will be prepared. Nanopore Medaka will be used to polish consensus assemblies first with the long reads and then with the Illumina reads. High-quality DNA will be isolated using Qiagen Genomic-tip 100/G following the manufacturer's instructions (Qiagen). The genomes will be annotated NCBI Prokaryotic Genome Annotation Pipelines and Rapid Prokaryotic Genome Annotation Tool (Prokka).NextStrain is a recent advancement for exploring the emergence, spread, evolution and transmission of pathogens. In our lab, we have established the NextStrain pipeline for bacterial pathogens that enables evaluation of newly emerged and high consequence strains. The procedure includes the generation of input VCF (variant calling format) data of core genomes using Snippy (https://github.com/tseemann/snippy). It integrates two major points: a phylodynamic analysis performed by Augur followed by an interactive visualization using Auspice platform. In this objective, we will perform NextStrain analyses for three species.OBJECTIVE 2: Validation of the "BacPath" pipeline for robust detection and differentiation of SRPs.The pipeline will be used for both short- and long-reads. Validation will be performed with DNA from all soft rot bacterial species and HTS data will be used to confirm specific detection. In depth validation, including in planta infection (potato plant and slices). The pipeline and detection methods will be validated by confirming LoD (10-fold dilutions of target DNA will be added in host DNA), specificity (with members of inclusivity and exclusivity panels; detection from infected samples),multi-instrument (Illumina and Oxford Nanopore), multi-operator ANDreproducibility. Mock data will also be created using MetaSim and used for validation.Data generated from the previous objective will be used in this objective. This pipeline will be compared with other pipelines for specificity (inclusivity and exclusivity data will be analyzed), time (running time), ease (methodology and procedure), cost (per sample $$), labor (cost and requirement). Both types of input data, short- and long-reads will be used. Minimum data required for reliable detection, using multiple platforms, with a different concentration of a pathogenwill be calculated.

Progress 03/15/23 to 03/14/24

Outputs
Target Audience:The target audience for this reporting period includes graduate and undergraduate students, extension agents, farmers, participants in the 2023 APS (Denver, Co) and ICPP (Lyon, France) meetings interested in diagnostics, Leeward Community College students, and USDA APHIS. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Graduate students learned about metagenome diagnostics and validation. Undergraduate students were exposed to nanopore sequencing and data analysis for detection. Undergraduates were introduced to database development. A Junior Researcher (postdoc) received training in metagenome detection. How have the results been disseminated to communities of interest?The results were disseminated through presentations at scientific meetings and workshops. Classroom teaching was also used to share the outcomes. What do you plan to do during the next reporting period to accomplish the goals?Year 2 Plan: Genome Sequencing and Database Expansion: We will sequence approximately 100 more genomes using both Nanopore and Illumina technologies, and these will be added to the database. Additionally, more genomes from NCBI will be screened for accurate metadata and genome quality and will also be added to the database. BacPath Pipeline Validation: The pipeline validation is still underway and will be completed by next year. We obtained sequencing data from infected plant tissue (artificially and naturally infected), but not all data has been analyzed yet. Most of the data will be analyzed and compared in the next few months. NextStrain/tracking Analyses: The NextStrain pipeline is running smoothly, but we will analyze the genomes once all bacterial strain sequencing is completed. We expect to start working on tracking in the next few months. Publications: One review article on metagenome-based detection is under preparation and should be completed in the next few months. Another article on pipeline validation and database development will be prepared and submitted in Year 2. Presentations: The outcomes of the results will also be disseminated through presentations at scientific meetings and workshops.

Impacts
What was accomplished under these goals? Strains of all Pectobacterium and Dickeya species: Representative strains from our collection were selected based on accurate metadata information. Strains of other Pectobacterium and Dickeya species were obtained from international culture collections. So far, we have obtained representative strains of almost each species of Pectobacterium and Dickeya. Approximately 100 strains were acquired to develop resources for diagnostic protocol validation and genome sequencing. Genome Sequencing and Database Development: High-quality DNA was isolated from purified bacterial strains, and only genomes with accurate metadata were selected for sequencing. More than 100 complete genomes have been sequenced using Nanopore and Illumina technologies, assembled (hybrid), and added to our customized database. All sequenced genomes will later be submitted to the NCBI GenBank database. So far, the database contains about 400 complete genomes with accurate metadata. The database includes not only genomes of Pectobacterium and Dickeya species but also genomes from other bacterial species infecting plants and other environmental pathogens. ?BacPath Pipeline Validation: The pipeline has been developed and is now undergoing rigorous validation. The in-silico validation for specificity and sensitivity is completed. We mixed 12 chromosomes of the host (potato) with different concentrations and reads of pathogens P. carotovorum and D. dianthicola. Mock metagenomes were created using MetaSim and CAMISim. Initially, we mixed the complete genome of the pathogen with the complete genome of the host in concentrations of 10, 100, and 1,000. Next, we mixed the complete host genome with different concentrations. For specificity, P. carotovorum was mixed with D. dianthicola, and P. versatile with D. solani. The read length was 250 bp. All tests were repeated three times to ensure reproducibility. The pipeline accurately detected the pathogens at a concentration of 10, with no false matches detected. In in-vitro validation, pipeline validation with infected plant tissues is underway. For specificity, plants were inoculated with known strains individually or with multiple bacterial species. DNA was isolated directly from infected tissues and sequenced using Nanopore Flongle and, in some cases, both Nanopore and Illumina sequencers. All tests were repeated three times. When the sequence data was processed through BacPath, all outcomes were accurate with no false matches. In sensitivity assays, 12 ng of host DNA was mixed with different concentrations (1 fg to 1 ng) of P. parmentieri and D. dianthicola. The samples were sequenced using both Nanopore (long reads) and Illumina (short reads) sequencers. So far, no false results have been obtained. The data is still under analyses, and we expect to have all final results available in the next few months. Experiments with naturally infected samples and their comparative analyses are underway.

Publications

  • Type: Conference Papers and Presentations Status: Other Year Published: 2023 Citation: Montesinos S, D, Dobhal S, Arif M (2023). BacPath: Diagnostics pipeline for highly reliable detection of bacterial plant pathogens. Presented at APS Annual Meeting - Plant Health 2023, Denver, Co.
  • Type: Conference Papers and Presentations Status: Other Year Published: 2023 Citation: Arif M, Stack JP (2023). Advancement in plant pathogen diagnostics in high-throughput sequencing era. Presented in ICPP 2023, Lyon, France.
  • Type: Conference Papers and Presentations Status: Other Year Published: 2023 Citation: Arif M (2023). Opportunities in Biosecurity, at Plant Biosecurity in Theory and Practice workshop, Biosecurity Research Institute, Kansas State University, Manhattan, KS, USA
  • Type: Conference Papers and Presentations Status: Other Year Published: 2023 Citation: Arif M (2023). Plant Diagnostics in Genomic Era, at Plant Biosecurity in Theory and Practice workshop, Biosecurity Research Institute, Kansas State University, Manhattan, KS, USA
  • Type: Conference Papers and Presentations Status: Other Year Published: 2023 Citation: Arif M (2023). Biosecurity alert: Coffee leaf rust in Hawaii, at Plant Biosecurity in Theory and Practice workshop, Biosecurity Research Institute, Kansas State University, Manhattan, KS, USA