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Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR

In the transmission control of chronic and untreatable livestock diseases such as bovine leukemia virus (BLV) infection, the removal of viral superspreaders is a fundamental approach. On the other hand, selective breeding of cattle with BLV-resistant capacity is also critical for reducing the viral...

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Autores principales: Notsu, Kosuke, El Daous, Hala, Mitoma, Shuya, Wu, Xinyue, Norimine, Junzo, Sekiguchi, Satoshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942588/
https://www.ncbi.nlm.nih.gov/pubmed/36625728
http://dx.doi.org/10.1128/msphere.00493-22
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author Notsu, Kosuke
El Daous, Hala
Mitoma, Shuya
Wu, Xinyue
Norimine, Junzo
Sekiguchi, Satoshi
author_facet Notsu, Kosuke
El Daous, Hala
Mitoma, Shuya
Wu, Xinyue
Norimine, Junzo
Sekiguchi, Satoshi
author_sort Notsu, Kosuke
collection PubMed
description In the transmission control of chronic and untreatable livestock diseases such as bovine leukemia virus (BLV) infection, the removal of viral superspreaders is a fundamental approach. On the other hand, selective breeding of cattle with BLV-resistant capacity is also critical for reducing the viral damage to productivity by keeping infected cattle. To provide a way of measuring BLV proviral load (PVL) and identifying susceptible/resistant cattle simply and rapidly, we developed a fourplex droplet digital PCR method targeting the BLV pol gene, BLV-susceptible bovine major histocompatibility complex (BoLA)-DRB3*016:01 allele, resistant DRB3*009:02 allele, and housekeeping RPP30 gene (IPATS-BLV). IPATS-BLV successfully measured the percentage of BLV-infected cells and determined allele types precisely. Furthermore, it discriminated homozygous from heterozygous carriers. Using this method to determine the impact of carrying these alleles on the BLV PVL, we found DRB3*009:02-carrying cattle could suppress the PVL to a low or undetectable level, even with the presence of a susceptible heterozygous allele. Although the population of DRB3*016:01-carrying cattle showed significantly higher PVLs compared with cattle carrying other alleles, their individual PVLs were highly variable. Because of the simplicity and speed of this single-well assay, our method has the potential of being a suitable platform for the combined diagnosis of pathogen level and host biomarkers in other infectious diseases satisfying the two following characteristics of disease outcomes: (i) pathogen level acts as a critical maker of disease progression; and (ii) impactful disease-related host genetic biomarkers are already identified. IMPORTANCE While pathogen-level quantification is an important diagnostic of disease severity and transmissibility, disease-related host biomarkers are also useful in predicting outcomes in infectious diseases. In this study, we demonstrate that combined proviral load (PVL) and host biomarker diagnostics can be used to detect bovine leukemia virus (BLV) infection, which has a negative economic impact on the cattle industry. We developed a fourplex droplet digital PCR assay for PVL of BLV and susceptible and resistant host genes named IPATS-BLV. IPATS-BLV has inherent merits in measuring PVL and identifying susceptible and resistant cattle with superior simplicity and speed because of a single-well assay. Our new laboratory technique contributes to strengthening risk-based herd management used to control within-herd BLV transmission. Furthermore, this assay design potentially improves the diagnostics of other infectious diseases by combining the pathogen level and disease-related host genetic biomarker to predict disease outcomes.
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spelling pubmed-99425882023-02-22 Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR Notsu, Kosuke El Daous, Hala Mitoma, Shuya Wu, Xinyue Norimine, Junzo Sekiguchi, Satoshi mSphere Research Article In the transmission control of chronic and untreatable livestock diseases such as bovine leukemia virus (BLV) infection, the removal of viral superspreaders is a fundamental approach. On the other hand, selective breeding of cattle with BLV-resistant capacity is also critical for reducing the viral damage to productivity by keeping infected cattle. To provide a way of measuring BLV proviral load (PVL) and identifying susceptible/resistant cattle simply and rapidly, we developed a fourplex droplet digital PCR method targeting the BLV pol gene, BLV-susceptible bovine major histocompatibility complex (BoLA)-DRB3*016:01 allele, resistant DRB3*009:02 allele, and housekeeping RPP30 gene (IPATS-BLV). IPATS-BLV successfully measured the percentage of BLV-infected cells and determined allele types precisely. Furthermore, it discriminated homozygous from heterozygous carriers. Using this method to determine the impact of carrying these alleles on the BLV PVL, we found DRB3*009:02-carrying cattle could suppress the PVL to a low or undetectable level, even with the presence of a susceptible heterozygous allele. Although the population of DRB3*016:01-carrying cattle showed significantly higher PVLs compared with cattle carrying other alleles, their individual PVLs were highly variable. Because of the simplicity and speed of this single-well assay, our method has the potential of being a suitable platform for the combined diagnosis of pathogen level and host biomarkers in other infectious diseases satisfying the two following characteristics of disease outcomes: (i) pathogen level acts as a critical maker of disease progression; and (ii) impactful disease-related host genetic biomarkers are already identified. IMPORTANCE While pathogen-level quantification is an important diagnostic of disease severity and transmissibility, disease-related host biomarkers are also useful in predicting outcomes in infectious diseases. In this study, we demonstrate that combined proviral load (PVL) and host biomarker diagnostics can be used to detect bovine leukemia virus (BLV) infection, which has a negative economic impact on the cattle industry. We developed a fourplex droplet digital PCR assay for PVL of BLV and susceptible and resistant host genes named IPATS-BLV. IPATS-BLV has inherent merits in measuring PVL and identifying susceptible and resistant cattle with superior simplicity and speed because of a single-well assay. Our new laboratory technique contributes to strengthening risk-based herd management used to control within-herd BLV transmission. Furthermore, this assay design potentially improves the diagnostics of other infectious diseases by combining the pathogen level and disease-related host genetic biomarker to predict disease outcomes. American Society for Microbiology 2023-01-10 /pmc/articles/PMC9942588/ /pubmed/36625728 http://dx.doi.org/10.1128/msphere.00493-22 Text en Copyright © 2023 Notsu et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Notsu, Kosuke
El Daous, Hala
Mitoma, Shuya
Wu, Xinyue
Norimine, Junzo
Sekiguchi, Satoshi
Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title_full Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title_fullStr Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title_full_unstemmed Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title_short Identifying Pathogen and Allele Type Simultaneously in a Single Well Using Droplet Digital PCR
title_sort identifying pathogen and allele type simultaneously in a single well using droplet digital pcr
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9942588/
https://www.ncbi.nlm.nih.gov/pubmed/36625728
http://dx.doi.org/10.1128/msphere.00493-22
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