Source: UNIVERSITY OF FLORIDA submitted to
BE-EDNA: ADVANCING MONITORING PROGRAMS FOR HONEY BEE PESTS AND PATHOGENS USING NOVEL EDNA APPROACHES
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1030174
Grant No.
2023-67013-39912
Cumulative Award Amt.
$701,747.00
Proposal No.
2022-08496
Multistate No.
(N/A)
Project Start Date
May 1, 2023
Project End Date
Apr 30, 2027
Grant Year
2023
Program Code
[A1113]- Pollinator Health: Research and Application
Project Director
Ellis, J.
Recipient Organization
UNIVERSITY OF FLORIDA
G022 MCCARTY HALL
GAINESVILLE,FL 32611
Performing Department
(N/A)
Non Technical Summary
The western honey bee is an essential pollinator for a variety of U.S. crops but its managed population is threatened by current and emerging pests and pathogens. Early detection of biotic threats to colonies is essential to maintain the pollination services provided by honey bees. Our goal is to improve the health of honey bees by reducing colony losses to pests and pathogens via the creation of a novel monitoring tool that is simple to use, does not rely on direct sampling of adult bees and brood, provides accurate identification of pests and pathogens, and can detect pests and pathogens at low levels of infestation/infection. The collection of environmental DNA/RNA (eDNA/eRNA) satisfies these criteria because it can be paired with high throughput sequencing to offer an indirect and non-targeted method to identify pest and pathogen communities. We propose to advance monitoring programs for honey bee pests and pathogens using a novel eDNA/eRNA approach. Specifically, we aim to build upon our existing experience with eDNA to: (1) determine if eRNA can be used to detect honey bee viruses in and around colonies; (2) determine if eDNA/eRNA can be used to detect emergent threats to U.S. honey bees by testing the methods in locations where potentially invasive species exist and (3) establish an eDNA/eRNA survey method that could be adopted for U.S. honey bee health monitoring programs. The resulting diagnostic tool would help reduce pollinator declines, improve colony health, and limit the impacts of invasive organisms on the U.S. honey bee industry.
Animal Health Component
70%
Research Effort Categories
Basic
10%
Applied
70%
Developmental
20%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
3123010113050%
3113010116050%
Goals / Objectives
Our overall goal is to improve the health of honey bees by reducing colony losses to pests and pathogens via improved detection/monitoring techniques. Our specific aim is to develop eDNA and eRNA metagenomics as diagnostic technologies to improve honey bee monitoring and early detection of invasive organisms, and evaluate the feasibility of including this tool in future national monitoring programs (e.g., USDA APHIS National Honey Bee Pests and Diseases Survey).We will address this overall goal through the following objectives.(1) Objective 1. Determine if eRNA can be used to detect honey bee viruses in colonies and the surrounding landscape(2) Objective 2. Determine if eDNA and eRNA can be used to detect emergent threats to U.S. honey bees by testing the methods in locations where potentially invasive species exist:2a. Vespa mandarinia (northern giant hornet) detection in Washington State, U.S.2b. Apis species, V. mandarinia, and Tropilaelaps spp. detection in Thailand2c. Apis mellifera capensis detection in South Africa(3) Objective 3. Establish an eDNA/eRNA survey method that can be adopted for honey bee pest/pathogen monitoring programs in the U.S.
Project Methods
Objective 1 consists of screening different surfaces within and outside hives from our test apiary to determine where informative eRNA can be found. We will focus on surfaces that were ranked as easy to sample in our previous work as we want this technique to be adopted for large-scale monitoring, and not require too much additional time from beekeepers. Where surfaces allow, we will test two different collection techniques: moistened forensic swabs with viscose tips wiped across surfaces vs. spray/wash collection. Collected samples will be processed based on methods recently developed in our laboratory for RNA extraction and shotgun sequencing of RNA and DNA from royal jelly. The resulting data will be bioinformatically processed through standard pipelines: filtering, quality control, trimming, annotation, and taxonomic assignment. The results will be used to inform sampling protocols for screening for viruses in Objectives 2b and 3.For objective 2, we aim to test our established eDNA (prior work) and eRNA (Objective 1) protocols in locations of the native ranges of some of the greatest biotic threats to honey bees. While the focus for Objective 2 is on eDNA detection of arthropods, we also will process eDNA samples for microbes and collect eRNA for future screening for honey bee viruses. These samples will be stored in a -80°C.The incursion of the northern giant hornet in Washington, U.S. presents a good opportunity to test the ability of our established methods to detect this new arthropod pest affecting U.S. honey bees (Objective 2a). Our proposed work will complement the targeted protocol being developed and allow us to address the question: If the hornet is present in the area, would the eDNA technique be sensitive enough to detect it without someone otherwise visualizing it. We will test our established non-targeted metabarcoding method using two universal arthropod primer sets (targeting COI and 16S mitochondrial genes) to see they can detect the northern giant hornet. The research team will travel to Washington to complete the sampling regimen for this objective in collaboration with colleagues on site. We will target areas that northern giant hornets have been found before to give us the greatest chance of detection success. Samples will be taken from hive entrance reducers, hive detritus from trays, plant litter at the base of the hives, and water sources that honey bees are seen visiting. If no hornets are present, we can use DNA from nest materials, or dead insects, to test ours assays by placing small droplets of DNA in and around hives. A second researcher who does not know where DNA has been placed would collect the eDNA. Samples will be returned to the UF HBREL for processing.Thailand is home to five species of Apis, three of which are known to be invasive in other parts of the world. Furthermore, Thailand is within the native range of Tropilaelaps spp. and the northern giant hornet. Thus, Thailand represents an important site where we can test eDNA ability to detect the arthropod species that are organisms of concern in the U.S. (Objective 2b). The research team will travel to Thailand to collect and process eDNA samples as proposed in Objectives 1 and 2a.For Objective 2c, the research team will travel to the Cape Town region of South Africa and collect eDNA samples following the same protocols and targeting surfaces outlined in Objective 2a. As A.m. capensis can be found ranging freely in parts of South Africa outside of managed colonies, nesting cavities occupied/previously occupied by honey bees will also be tested as a source of eDNA. The DNA will be extracted and processed as outlined for the other objectives.In Objective 3, we will lead a national ring test in which we invite colleagues from around the U.S. to collect eDNA and eRNA samples using our methods and ship the samples to us for DNA/RNA extraction, sequencing, and bioinformatics pipelining. We will develop sampling kits to ship to our ring test collaborators and provide them with detailed methods regarding how to collect the samples and return them to the UF HBREL. This will allow us to test the feasibility of scaling up the method for national monitoring for new and emerging issues, and detect any additional research needed before this diagnostic tool can be implemented. The ability to use eDNA and/or eRNA for monitoring would limit the need to collect and ship live bees, require less time from beekeepers, and could increase the reach and scope of national monitoring programs. A standard bee health survey will also be completed (based on the current Bee Informed Partnership survey), and e-mailed to co-PD. This information will not be made available to researchers in the PD's laboratory to allow us to ground truth any of our findings without biasing data processing in any way.

Progress 05/01/23 to 04/30/24

Outputs
Target Audience:U.S. beekeepers represent the primary target audience of our research. In 2023, nearly 50% of honey bee colonies in the United States were lost, representing unsustainable losses to the industry and threatening the delivery of agricultural pollination services. Pests and pathogens are key drivers of honey bee colony losses. Beekeepers and diagnosticians screen for these biotic stressors visually, mechanically, or using molecular approaches, but these techniques are often time consuming, highly variable, and can be unreliable. Beekeepers urgently need better screening tools to mitigate the impact of established pests and pathogens and limit the introduction of new threats. Our research into developing novel eDNA and eRNA methodologies will give beekeepers the tools needed to detect emerging threats to their colonies rapidly and accurately. Entomologists and laboratory diagnosticians represent key additional target audiences for our project. Entomologists and other scientists can use the techniques we develop to study biotic communities associated with any environment. Diagnosticians can use the techniques to screen for pests and pathogens of apiculture importance, but the methods will be relevant in other fields as well. Changes/Problems:An important change in our grant objectives involved the unexpected introduction of the yellow-legged hornet (Vespa velutina), a honey bee predator of serious economic concern, in Savannah, Georgia. Given the proximity of this introduction to the University of Florida, we were uniquely situated to shift Objective 2a to focus primarily on validating eDNA methodologies through monitoring spread of the yellow-legged hornet in Georgia, rather than the giant northern hornet (Vespa mandarinia) in Washington. This decision was further strengthened by the giant hornet's likely eradication from the United States, given it has not been seen in Washington in over two years. While we still intend to swab nest materials from unoccupied giant hornet nests in Washington from the initial invasion in 2020, the active threat of the yellow-legged hornet represented a timely opportunity to verify the use of eDNA as a screening tool for emergent honey bee pests during the first wave of invasion.Additionally, we had intended to have eRNA (Obj 1) sequencing completed by Q4 of Y1. However, our postdoctoral scholarwas only able to join the project in Q3 (January 2024), pushing the anticipated completion of this objective to Year 2. Nevertheless, we do not anticipate this will limit our ability to complete the objective successfully. What opportunities for training and professional development has the project provided?We hired Dr. Kaitlin Deutsch to manage the day-to-day project components. She has only been a member of the project team since January 2024, but has already learned eDNA/eRNA sampling techniques, networked with other scientists in the field, and gained experience with a new invasive species threat to honey bee colony health. Drs. Ellis and Boardman will work closely with Dr. Deutsch to ensure her continued professional growth and development. For example, Dr. Ellis will work with Dr. Deutsch to create a formal professional development plan. This plan will include experience with project planning/execution, collaborator networking, grant writing and administration, manuscript development and submission, student mentorship, and project oversight. How have the results been disseminated to communities of interest?We have not begun formal results dissemination for this project. We are in the data collection and analysis stages of the project. Dissemination will start once results are available and vetted for release. What do you plan to do during the next reporting period to accomplish the goals? In the next reporting period, we will continue to accomplish goals outlined in Objectives 1 and 2. Specifically, for Objective 1, we will use next-generation sequencing techniques to characterize full viral communities from eRNA samples collected from hive environs. This reporting period, we demonstrated that eRNA can be collected and used to screen for honey bee viruses non-invasively using conventional primer-based screening methods. While our goal was to have total RNA sequencing data for Objective 1 by the end of Year 1, we took additional time to 1) optimize our RNA collection & extraction methodologies from environmental samples with low yield and 2) ensure our pilot data was free of contamination. In the next reporting period, we will sequence eRNA samples and perform bioinformatic analyses to characterize the full viral community, including pathogens that are not commonly screened for in routine diagnostic testing. For Objective 2a, we will continue to work with the Florida and Georgia State Departments of Agriculture to monitor the spread of the invasive yellow-legged hornet using eDNA from swab and soil samples collected from apiaries within the invaded range of the hornet. For Objective 2b and 2c, we will travel to Thailand and South Africa to test our eDNA and eRNA methods in locations where potentially invasive species exist. Specifically, in summer 2024, we will travel to Burapha University in Chon Buri, Thailand to collect soil and swab samples from honey bee colonies within the native ranges of multiple organisms of concern (Vespa spp., Tropilaelaps spp., other Apis species, etc.) that are likely to cause significant damage to honey bee colonies in the U.S. should they be introduced or establish. Subsequently, we will perform next-generation sequencing on these samples to ensure we are able to detect all emergent threats via an eDNA monitoring approach. In spring 2025 (our current target date), we will travel to the Cape Town region of South Africa to sample from wild and managed Apis mellifera capensis colonies. As before, we will collect soil and swab samples from the hive environment and extract DNA from these samples. The samples will be collected in the second reporting period but processed in the third reporting period (Year 3). After collection, we will use a targeted eDNA approach to determine if diagnostic assays to detect A. m. capensis can be conducted on DNA collected from the environment and not the honey bees themselves.

Impacts
What was accomplished under these goals? The goal of our work is to provide beekeepers with a more effective method to monitor emergent pests and pathogens, prevent the establishment of new threats, and mitigate the impact of known pests and pathogens. For Objective 1, we validated and optimized methodologies to detect honey bee viruses using environmental RNA from the hive environs. We collected samples from five hive substrates using two different types of swabs. We reliably detected a suite of the most important honey bee RNA viruses from swabs of (a) hive tools, (b) honey cells, and (c) in-hive sugar feeders, regardless of the type of swab used. Viruses could also be detected from swabs of the hive entrance, but this seemed dependent on the type of swab used. Surprisingly, we did not detect any virus RNA from swabs of the bottom board no matter the type of swab used. Our next steps involve next-generation sequencing of these RNA samples to characterize the full viral community within hives, including those pathogens not commonly screened for in routine diagnostic testing. These findings confirm that, despite concerns over rapid RNA degradation, eRNA can be collected and used to screen non-invasively for honey bee viruses. Thus, the development of an eRNA monitoring tool will allow beekeepers and honey bee diagnosticians to identify a suite of viral pathogens rapidly and less invasively. For Objective 2, we successfully utilized eDNA approaches to monitor the recent invasion of the yellow-legged hornet (Vespa velutina), in Savannah, Georgia. A honey bee predator, the yellow-legged hornetwas first detected in apiaries in Savannah in August 2023. At apiaries where the invasive hornets were confirmed present, we swabbed hive substrates and collected samples of soil beneath the colonies. We were able to detect yellow-legged hornet DNA on hive tools and in soil samples reliably, validating our eDNA methodology as an effective way to monitor the continued invasion of the hornet.Having an eDNA monitoring tool for the hornet will allow State Departments of Agriculture to identify areas where the hornet has established and efficiently allocate resources toward nest discovery and destruction, thereby minimizing the impact of the predatory hornet on local beekeepers' colonies. Not only can eDNA monitoring be employed to mitigate the effect of the yellow-legged hornet, but it also confirms that eDNA/eRNA can be used to detect emergent honey bee pests and predators via non-invasive sampling. Additionally, the postdoctoral scholar leading this project gained invaluable laboratory skills while collecting, processing, and analyzing these environmental samples and developed significant expertise in honey bee pest and pathogen diagnostics. We will use the results from these first two objectives in following years for Objective 3 to sample standardized hive substrates that consistently yield a high diversity of eDNA and eRNA and continue to develop this method as a scalable tool to monitor for emergent pests and pathogens.

Publications