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Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics

The acceleration of climate change has been associated with an alarming increase in the prevalence and geographic range of tick-borne diseases (TBD), many of which have severe and long-lasting effects—particularly when treatment is delayed principally due to inadequate diagnostics and lack of physic...

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Autores principales: Socarras, Kayla M., Haslund-Gourley, Benjamin S., Cramer, Nicholas A., Comunale, Mary Ann, Marconi, Richard T., Ehrlich, Garth D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498496/
https://www.ncbi.nlm.nih.gov/pubmed/36140772
http://dx.doi.org/10.3390/genes13091604
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author Socarras, Kayla M.
Haslund-Gourley, Benjamin S.
Cramer, Nicholas A.
Comunale, Mary Ann
Marconi, Richard T.
Ehrlich, Garth D.
author_facet Socarras, Kayla M.
Haslund-Gourley, Benjamin S.
Cramer, Nicholas A.
Comunale, Mary Ann
Marconi, Richard T.
Ehrlich, Garth D.
author_sort Socarras, Kayla M.
collection PubMed
description The acceleration of climate change has been associated with an alarming increase in the prevalence and geographic range of tick-borne diseases (TBD), many of which have severe and long-lasting effects—particularly when treatment is delayed principally due to inadequate diagnostics and lack of physician suspicion. Moreover, there is a paucity of treatment options for many TBDs that are complicated by diagnostic limitations for correctly identifying the offending pathogens. This review will focus on the biology, disease pathology, and detection methodologies used for the Borreliaceae family which includes the Lyme disease agent Borreliella burgdorferi. Previous work revealed that Borreliaceae genomes differ from most bacteria in that they are composed of large numbers of replicons, both linear and circular, with the main chromosome being the linear with telomeric-like termini. While these findings are novel, additional gene-specific analyses of each class of these multiple replicons are needed to better understand their respective roles in metabolism and pathogenesis of these enigmatic spirochetes. Historically, such studies were challenging due to a dearth of both analytic tools and a sufficient number of high-fidelity genomes among the various taxa within this family as a whole to provide for discriminative and functional genomic studies. Recent advances in long-read whole-genome sequencing, comparative genomics, and machine-learning have provided the tools to better understand the fundamental biology and phylogeny of these genomically-complex pathogens while also providing the data for the development of improved diagnostics and therapeutics.
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spelling pubmed-94984962022-09-23 Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics Socarras, Kayla M. Haslund-Gourley, Benjamin S. Cramer, Nicholas A. Comunale, Mary Ann Marconi, Richard T. Ehrlich, Garth D. Genes (Basel) Review The acceleration of climate change has been associated with an alarming increase in the prevalence and geographic range of tick-borne diseases (TBD), many of which have severe and long-lasting effects—particularly when treatment is delayed principally due to inadequate diagnostics and lack of physician suspicion. Moreover, there is a paucity of treatment options for many TBDs that are complicated by diagnostic limitations for correctly identifying the offending pathogens. This review will focus on the biology, disease pathology, and detection methodologies used for the Borreliaceae family which includes the Lyme disease agent Borreliella burgdorferi. Previous work revealed that Borreliaceae genomes differ from most bacteria in that they are composed of large numbers of replicons, both linear and circular, with the main chromosome being the linear with telomeric-like termini. While these findings are novel, additional gene-specific analyses of each class of these multiple replicons are needed to better understand their respective roles in metabolism and pathogenesis of these enigmatic spirochetes. Historically, such studies were challenging due to a dearth of both analytic tools and a sufficient number of high-fidelity genomes among the various taxa within this family as a whole to provide for discriminative and functional genomic studies. Recent advances in long-read whole-genome sequencing, comparative genomics, and machine-learning have provided the tools to better understand the fundamental biology and phylogeny of these genomically-complex pathogens while also providing the data for the development of improved diagnostics and therapeutics. MDPI 2022-09-08 /pmc/articles/PMC9498496/ /pubmed/36140772 http://dx.doi.org/10.3390/genes13091604 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Socarras, Kayla M.
Haslund-Gourley, Benjamin S.
Cramer, Nicholas A.
Comunale, Mary Ann
Marconi, Richard T.
Ehrlich, Garth D.
Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title_full Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title_fullStr Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title_full_unstemmed Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title_short Large-Scale Sequencing of Borreliaceae for the Construction of Pan-Genomic-Based Diagnostics
title_sort large-scale sequencing of borreliaceae for the construction of pan-genomic-based diagnostics
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9498496/
https://www.ncbi.nlm.nih.gov/pubmed/36140772
http://dx.doi.org/10.3390/genes13091604
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