Source: TEXAS TECH UNIVERSITY submitted to NRP
UNVEILING NOVEL MECHANISMS OF IMMUNE DYSFUNCTION IN BOVINE LEUKEMIA VIRUS-INFECTED DAIRY COWS
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
ACTIVE
Funding Source
Reporting Frequency
Annual
Accession No.
1032207
Grant No.
2024-67016-42408
Cumulative Award Amt.
$300,000.00
Proposal No.
2023-07927
Multistate No.
(N/A)
Project Start Date
Jul 1, 2024
Project End Date
Jun 30, 2026
Grant Year
2024
Program Code
[A1221]- Animal Health and Production and Animal Products: Animal Health and Disease
Recipient Organization
TEXAS TECH UNIVERSITY
(N/A)
LUBBOCK,TX 79409
Performing Department
(N/A)
Non Technical Summary
Bovine leukemia virus (BLV) presents a significant challenge for the U.S. dairy industry, infecting approximately 84% of dairy herds and causing economic losses estimated at up to$2.7 billion annuallydue to reduced milk production. Beyond the direct impact on agriculture, this issue resonates through the economy as it affects rural employment and dairy product prices, influencing community welfare and the environment. Most infected cattle do not exhibit symptoms but can spread the virus, complicating efforts to control the disease and posing a persistent threat to herd health. Moreover, about 5% of these infections lead to fatal diseases in cows, exacerbating the economic and emotional burden on farmers.Our research is not just another study on BLV. We are delving into how this infection affects cow immune systems by examining changes in the blood cells at a molecular level. To do this, we are employing cutting-edge techniques like single-cell RNA sequencing. This advanced method allows us to look at individual cells and understand the diverse impacts of the virus, providing a detailed picture that typical studies do not. By focusing on B-cells, which are crucial for a healthy immune response, we aim to uncover how the virus alters immune cell function. The insights gained from this innovative approach will pinpoint specific weaknesses in the immune system caused by BLV, guiding the development of targeted treatments and management strategies to mitigate these effects.The ultimate goal of this project is to enhance the health and productivity of dairy cows, thereby improving the economic stability of dairy farms and reducing the prices of dairy products. Based on our findings, successful management and potential reduction of BLV prevalence could lead to healthier herds, decreased use of antibiotics, and a lower environmental impact from farming operations. This research aims to bolster the agricultural economy and safeguard public health by controlling a virus that could impact other animals and ecosystems. The project promises substantial societal benefits by achieving these outcomes, including enhanced food security and economic resilience in rural communities.
Animal Health Component
30%
Research Effort Categories
Basic
70%
Applied
30%
Developmental
0%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
31134101090100%
Knowledge Area
311 - Animal Diseases;

Subject Of Investigation
3410 - Dairy cattle, live animal;

Field Of Science
1090 - Immunology;
Goals / Objectives
Our proposal goal is to define how BLV infection and its progression change PBMC transcriptional heterogeneity and define mechanisms of B-cell dysfunction in infected dairy cows.
Project Methods
Thisproject will employ a structured approach to study bovine leukemia virus (BLV) infection in dairy cows, specifically examining transcriptional differences in peripheral blood mononuclear cells (PBMCs) and B-cell dysfunction.Overall design:Animals and study design: First, clinically healthy, mid-lactation (~150 DIM) Holstein dairy cows in their 3rd or 4th lactations from a single dairy farm in West Texas will be screened for blood BLV antibodies, PVL, and lymphocyte count (LC). Control, non-infected cattle (BLV-) will have no BLV antibodies/PVL detected in blood. BLV-infected cows (BLV+) will have detectable BLV antibodies and PVL in blood. Second, BLV+ cows will be grouped based on PVL categories, as previously reported: Low PVL (<16,000 copies of provirus), moderate PVL (>16,000 to < 50,000 copies), and high PVL (>50,000 copies). The initial number of cows to be sampled for BLV screening will be based on these estimates.BLV, PVL, and LC screening: Whole blood (EDTA) and serum samples will be collected by coccygeal venipuncture using Vacutainer needles and tubes and will be tested for BLV antibodies by ELISA (Antel Biosystems). Lymphocytes will be quantified during a whole blood differential white blood cell count using Qscout (Advanced Animal Diagnostics). PVL quantification will be performed using blood DNA (DNeasy Blood/ Tissue Kit -Qiagen) through a SS1 qPCR assay in a QuantStudio 6 Pro Fast Real-Time PCR (Life Tech.).PBMC isolation: PBMCs will be isolated from 8mL of blood collected by coccygeal venipuncture in ACD-containing tubes (Becton Dickinson) using Ficoll-Paque Plus Density Gradient Media.Aim 1: Identify how BLV infection affects the transcriptional heterogeneity of PBMCs in dairy cows.Single-cell library preparation and RNA sequencing: PBMCs will be prepared and sequenced using 10X Genomics and Illumina NovaSeq 6000 technologies at Texas Tech University to target 10,000 cells per sample, aiming for a depth of 30,000 read pairs per cell. The resultant data will be processed using Bcl2fastq2 and CellRanger software to produce de-multiplexed Fastq files and aligned count matrices. Data analysis will be conducted in R Studio using Seurat, focusing on filtering, PCA, and UMAP clustering to explore gene expression variations and cellular differences between BLV- and BLV+ cows. These analyses will include pathway assessments via clusterProfiler to understand impacts on biological pathways using rigorous statistical corrections.Aim 2: Delineate mechanisms of B-cell dysfunction in BLV-infected dairy cows.Experiment #1: How does BLV infection affect B-cell-specific transcriptome?Sample size: Sample size calculation was performed using the PROC POWER procedure in SAS 9.4 based on a two-sample t-test for mean difference.We used B-cell frequency (means ± SD) obtained from PBMCs by flow cytometry from BLV-infected cows.Assuming a 2-sided confidence interval of 95%, 80% power, calculations resulted in a n of 10 cows per group (BLV+ vs. BLV-) for each experiment.Sorting strategy for B- and T-cells: Isolated PBMCs will be resuspended in FACS buffer (0.1% BSA PBS) and labeled with anti-bovine fluorescent antibodies. B-cells will be CD19+SIgM+MHCII+, and T-cells will be CD4+CD8-. Sorting gates will be set by FMO, and unstained controls will be installed in a BD FACS Aria II sorter equipped with five lasers for multicolor cell sorting.Isolation of BLV-infected B-cells for transcriptomics: We will use BLV gp51, a BLV surface glycoprotein, for isolating BLV-infected B-cells by FACS. Briefly, PBMCs at 5x106cells/ml will be fixed and permeabilized with 4% PFA and 0.1% saponin in molecular grade PBS supplemented with 1:100 RNase Inhibitor (Promega, N2615) for 30 min at 4C.Next, PBMCs will be stained with primary antibodies for BLV Anti-gp51 (VMRD), CD19, SIgM, and MHCII in PBS with 1% BSA, 0.1% saponin and 1:25 RNase inhibitor. The same procedure will be used for secondary antibodies. Sorted infected B-cells will be CD19+SIgM+MHCII+gp51+, and non-infected B-cells will be CD19+SIgM+MHCII+gp51-.B-cell RNA extraction and sequencing: B-cell RNA will be extracted (RNeasy Micro Kit-Qiagen) and integrity assessed in Bioanalyzer 2100 (Agilent Tech.) After cDNA synthesis, PCR products from BLV-infected and non-infected B-cell samples will be purified (AMPure XP system) and library quality assessed. Library preparations will be sequenced on an Illumina Novaseq 6000 S4 platform to generate 30 million paired-end reads (2 x 150 nt) per sample. Data analysis will be performed as described in preliminary data, with differentially expressed gene (DEG) identification and enrichment analysis (GO and KEGG) being the primary strategies.Experiment # 2 How does BLV infection affect B- and T-cell crosstalk?B- and T-cells Co-culture: We will conduct co-culture experiments using PBMC-isolated B-cells and CD4+ T-cells to study the impact of BLV infection on T-cell activation. CD4+ T-cells from BLV-negative cows will be co-cultured with B-cells from either BLV-negative or BLV-positive cows with high proviral load and persistent lymphocytosis. Controls will include T-cells activated with concanavalin A, inhibited with anti-CD3/CD28 antibodies, and B-cells cultured with or without immune stimulants IL-21 and CpG-ODN. After isolation via FACS and preparation in RPMI-1640 medium, the cells will be cultured in 24-well plates and incubated. Cell mixtures and supernatants will be collected at 0, 24, 48, and 72 hours for analysis.Data analysis: All in vitro conditions will be assessed in duplicates and standardized by cell number. Statistical analysis will be performed in SAS (v.9.4, SAS Institute Inc., Cary, NC). Data will be tested for normality and homoscedasticity and adjusted accordingly. Linear mixed models will determine the effect of BLV, time course (Exp.2), and their interaction on assay outcomes. Cow will be included as a random factor in the model. Correlation and regression analyses will assess associations between the frequency of BLV-infected B-cells and cytokine and antibody profiles, B-cell proliferation, and anergy markers. Post-hoc pairwise comparisons will be performed using Bonferroni's correction for multiple testing.Efforts:This project will create numerous educational opportunities for undergraduate and graduate students in animal and human health sciences fields by incorporating laboratory instruction and practical experiences. Specific classroom content willbe developedfor courses in internal medicine, molecular biology, and large animal clinics, all aimed at deepening understanding of bovine leukemia virus (BLV) infection mechanisms. Furthermore, a significant mid-term goal of this research is to identify BLV-specific cellular targets for potential therapeutic interventions, which could lead to innovative nutritional and medical strategies to manage this infection in dairy herds.Evaluation:The outcomes of this BLV-focused project willbe assessedthrough the following milestones:Successful identification of distinct transcriptional profiles within peripheral blood mononuclear cells (PBMCs) of BLV-infected dairy cows.Determination of how BLV infection influences specific cell subpopulations, evidenced by changes in their transcriptomes and functions.Compilation and publication of open-access datasets on the single-cell transcriptomes of PBMCs from BLV-infected cows.Novel isolation and detailed in vitro characterization ofkeyimmune cell subpopulations implicated in BLV pathology.Completingat least one master's thesis in Animal Science, focusing on BLV research.The findings will be disseminated through presentations at at least two scientific conferences and the publication of at least two peer-reviewed research articles.

Progress 07/01/24 to 06/30/25

Outputs
Target Audience:During the current reporting period, the project primarily targeted graduate-level students in animal and human health sciences fields by providing them with practical experiences in laboratory instruction, molecular biology, and immunological research methods. One graduate student (Tanner Scull) participated in hypothesis-driven research activities aimed at understanding immune dysfunction in bovine leukemia virus (BLV)-infected dairy cows. His involvement included PBMC isolation, flow cytometry, transcriptomic analysis, and engagement in data interpretation and experimental design. These experiences are essential for developing the next generation of scientists equipped to address infectious diseases affecting livestock health and productivity. This audience was specifically targeted to align with the project's mid-term goal of supporting scientific training and workforce development in veterinary immunology, large animal research, and bioinformatics. By embedding student researchers into active investigative roles, this project fosters technical proficiency, critical thinking, and data literacy, which are directly applicable to careers in veterinary and agricultural sciences. In addition to graduate student training, institutional academic and administrative personnel were engaged during this reporting period through routine project coordination, research compliance, and data management. These include efforts related to IACUC protocol submissions, sample logistics, and fiscal management, which support the research infrastructure required to meet the project's objectives. Although no direct engagement with producers, veterinarians, or extension agents took place during this phase, the foundational data generated this year will inform future outreach efforts to dairy health professionals and livestock producers. These groups remain key long-term audiences for the project as it progresses toward generating applied knowledge and management strategies for controlling BLV-related immune dysfunction. Changes/Problems:During this reporting period, no significant changes were made to the overall goals, objectives, or scope of the project. However, we encountered a few minor but noteworthy adjustments in scheduling and methodology, described below. Single-Cell Data Timeline Adjustment The original timeline proposed acquiring and analyzing single-cell RNA-sequencing (scRNA-seq) data within the first project year. While we successfully screened approximately 400 animals for BLV proviral load and submitted samples for sequencing, the data delivery from the core facility was delayed and is now expected by the end of August 2025. This delay does not affect the scope of work, and we have used the interim time to optimize downstream protocols for data analysis and validation. Optimization of B and T Cell Sorting Protocols The original proposal anticipated B-cell sorting to begin earlier. However, method refinement took longer than expected due to variability in marker expression and optimization of staining conditions in bovine samples. Despite this, we have now established a reliable flow cytometry panel and successfully performed preliminary sorting. These delays were necessary to ensure reproducibility and quality for downstream transcriptomic and functional assays. In Vitro Co-Culture System Development The development of functional co-culture systems (Objective 3) was initially planned for later in the project timeline. However, we began pilot experiments earlier than anticipated to take advantage of protocol optimization downtime. This resulted in an internal timeline adjustment, but no change to scope or milestones. No Changes to Data Management Plan There were no modifications to the approved Data Management Plan. Data produced during this period (e.g., flow cytometry, qPCR results) are being securely stored and organized for future public sharing alongside scRNA-seq datasets once processing is complete. No Issues with Animal Protocols or Biohazards All animal handling and sampling procedures were conducted by approved IACUC protocols. No changes or problems involving animal welfare, biosafety, or compliance were encountered. Summary Although minor scheduling adjustments were made, particularly with single-cell sequencing and immune cell sorting workflows, these changes were managed without impacting the core goals or budget. The project remains on track for full completion, and adjustments made during this reporting period are expected to improve data quality and experimental reproducibility. What opportunities for training and professional development has the project provided?During this reporting period, the project provided intensive one-on-one mentoring and training for one graduate student (Tanner Scull). The student received hands-on instruction in multiple advanced laboratory techniques, including: - Peripheral blood mononuclear cell (PBMC) isolation from bovine whole blood; - Flow cytometry and fluorescence-activated cell sorting (FACS) for immune profiling; - RNA extraction and quantitative PCR for BLV detection; - Development of antibody panels specific for B and T cell markers; - Protocol optimization for downstream single-cell transcriptomics; - Early-stage co-culture modeling of immune cell interactions. Additionally, Tanner participated in project design discussions, contributed to protocol troubleshooting, and was involved in scientific writing and data preparation for presentations. These experiences strengthened his technical and critical thinking skills, positioning him for a future career in animal health and immunological research. The project also supported professional development through: - Participation in internal lab meetings; - Informal seminars and graduate-level discussions on host-pathogen interactions; - Networking opportunities with faculty from multiple departments at Texas Tech University. How have the results been disseminated to communities of interest?During the reporting period, preliminary results and methodological developments were shared through the following avenues: - Departmental presentations: The graduate student presented findings and methods at a departmental seminar in the Department of Veterinary Sciences at Texas Tech University. - Informal instruction: Findings and protocols were discussed during small-group sessions in graduate-level coursework, including classes focused on veterinary immunology and large animal internal medicine. - Research discussions: Key insights and workflow improvements were shared with collaborators at the Center for Biotechnology & Genomics, fostering awareness and potential cross-project integration. While broader outreach to stakeholders such as producers and veterinarians will be prioritized in future phases, this year's focus on technical development and training laid the groundwork for future knowledge transfer and stakeholder engagement. What do you plan to do during the next reporting period to accomplish the goals?In the upcoming reporting period, we plan to focus on the following key activities for each objective: - Objective 1: - Analyze the single-cell RNA sequencing data from selected BLV+ and BLV- animals. - Identify transcriptional profiles associated with disease status and immune cell subsets. - Generate preliminary figures and analyses to support upcoming conference abstracts and manuscripts. - Objective 2: - Perform B and T cell sorting on fresh samples using optimized panels. - Begin transcriptional profiling of sorted B cells using bulk RNA-seq or targeted qPCR. - Explore correlations between surface markers and BLV load or transcriptional state. - Objective 3: - Finalize protocols for immune cell co-culture and stimulation assays. - Run pilot experiments testing immune responsiveness in sorted B cells. - Collect phenotypic data (e.g., proliferation, cytokine expression) to determine functional differences between BLV+ and BLV- cells. Additionally, we plan to expand outreach activities, submit at least one abstract for a national conference, and begin manuscript preparation based on data from Objectives 1 and 2.

Impacts
What was accomplished under these goals? Bovine leukemia virus (BLV) is a widespread retroviral infection affecting over 40% of U.S. dairy cows. It silently impairs the animal's immune system, especially B cells, which are crucial for fighting infections. Despite its prevalence, we still lack a clear understanding of how the virus changes the immune system over time. This project aims to fill that gap by using cutting-edge techniques, including single-cell RNA sequencing and functional immune assays, to uncover the cellular and molecular effects of BLV. This research benefits dairy farmers, veterinarians, scientists, and animal health professionals. A better understanding of how BLV affects cattle can lead to better management strategies, earlier detection, and targeted treatments. These outcomes will help improve animal welfare, productivity, and the economic sustainability of dairy farms. Objective 1: Define PBMC transcriptional changes associated with BLV proviral load - Major activities: We screened approximately 400 cows for BLV proviral load using quantitative PCR and ELISA. From these, using statistical analyses of data including days in milk, lactation number, age, and disease status to control for confounding variables, we selected cows representing both low and high proviral load groups for advanced analysis. - Data collected: We processed and submitted blood samples from selected cows for single-cell RNA sequencing (scRNA-seq). This work completes all experimental preparation for Aim 1. - Outcome: We created a well-curated sample biobank and completed the complex process of preparing immune cells for scRNA-seq. Sequencing data will arrive in August 2025. This achievement is a foundational milestone enabling future discovery of cell-level changes caused by BLV. Objective 2: Define B cell-specific transcriptional phenotypes in BLV+ and BLV- cows - Major activities: We optimized and validated antibody panels for identifying B and T cells in cow peripheral blood using flow cytometry. - Data collected: Preliminary sorting protocols were implemented, and viable B cell populations were isolated. - Outcome: We established reproducible, in-house protocols for immune cell sorting in dairy cattle. These tools will allow high-resolution study of B cell dysfunction and are transferable to other ruminant immunology applications. Objective 3: Determine the functional consequences of B cell dysfunction using co-culture systems - Major activities: Initiated development of in vitro co-culture systems to simulate immune cell interactions under BLV-infected conditions. - Data collected: Pilot experiments are underway, focusing on optimizing culture conditions and immune cell viability. - Outcome: Early results are shaping protocols that will allow us to study functional defects in immune response. This is a critical step toward understanding how BLV weakens immunity in infected animals. Key Measurable Outcomes - New research capacity: We established protocols for PBMC isolation, cell sorting, and scRNA-seq preparation in dairy cattle--a technical advancement for the field. - High-throughput animal screening: Successfully tested 400 cows for BLV, allowing precise selection for future in-depth analysis. - Student development: A graduate student was trained in molecular and immunological techniques, supporting future workforce development. - Institutional collaboration: Strengthened ties between the Department of Veterinary Sciences and the Center for Biotechnology & Genomics at Texas Tech University, promoting cross-disciplinary innovation. Impact Summary: This year, we took major steps to understand how a common virus affects the immune system in dairy cows. We tested hundreds of animals and sent samples for high-tech analysis that will tell us how the virus changes individual immune cells. We also developed lab methods to study these cells and how they interact. This work helps farmers and veterinarians by laying the groundwork for better ways to manage disease and improve herd health. Our efforts are already producing new tools, training future animal scientists, and building partnerships that will benefit livestock health and productivity.

Publications

  • Type: Peer Reviewed Journal Articles Status: Accepted Year Published: 2024 Citation: Scull, T. F., Strieder-Barboza, C., & Benitez, O. J. (2024). Peripheral Blood Mononuclear Cell Transcriptome of Dairy Cows Naturally Infected with Bovine Leukemia Virus. *Pathogens*, 13(10), 885. https://doi.org/10.3390/pathogens13100885