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Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance

Disease has large negative impacts on poultry production. A more comprehensive understanding of host–pathogen interaction can lead to new and improved strategies to maintain health. In particular, host genetic factors can lead to a more effective response to pathogens, hereafter termed resistance. F...

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Autores principales: Deist, Melissa S., Gallardo, Rodrigo A., Dekkers, Jack C. M., Zhou, Huaijun, Lamont, Susan J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013128/
https://www.ncbi.nlm.nih.gov/pubmed/32117434
http://dx.doi.org/10.3389/fgene.2020.00011
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author Deist, Melissa S.
Gallardo, Rodrigo A.
Dekkers, Jack C. M.
Zhou, Huaijun
Lamont, Susan J.
author_facet Deist, Melissa S.
Gallardo, Rodrigo A.
Dekkers, Jack C. M.
Zhou, Huaijun
Lamont, Susan J.
author_sort Deist, Melissa S.
collection PubMed
description Disease has large negative impacts on poultry production. A more comprehensive understanding of host–pathogen interaction can lead to new and improved strategies to maintain health. In particular, host genetic factors can lead to a more effective response to pathogens, hereafter termed resistance. Fayoumi and Leghorn chicken lines have demonstrated relative resistance and susceptibility, respectively, to the Newcastle disease virus (NDV) vaccine strain and many other pathogens. This biological model was used to better understand the host response to a vaccine strain of NDV across three tissues and time points, using RNA-seq. Analyzing the Harderian gland, trachea, and lung tissues together using weighted gene co-expression network analysis (WGCNA) identified important genes that were co-expressed and associated with parameters including: genetic line, days post-infection (dpi), challenge status, sex, and tissue. Pathways and driver genes, such as EIF2AK2, MPEG1, and TNFSF13B, associated with challenge status, dpi, and genetic line were of particular interest as candidates for disease resistance. Overall, by jointly analyzing the three tissues, this study identified genes and gene networks that led to a more comprehensive understanding of the whole animal response to lentogenic NDV than that obtained by analyzing the tissues individually.
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spelling pubmed-70131282020-02-28 Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance Deist, Melissa S. Gallardo, Rodrigo A. Dekkers, Jack C. M. Zhou, Huaijun Lamont, Susan J. Front Genet Genetics Disease has large negative impacts on poultry production. A more comprehensive understanding of host–pathogen interaction can lead to new and improved strategies to maintain health. In particular, host genetic factors can lead to a more effective response to pathogens, hereafter termed resistance. Fayoumi and Leghorn chicken lines have demonstrated relative resistance and susceptibility, respectively, to the Newcastle disease virus (NDV) vaccine strain and many other pathogens. This biological model was used to better understand the host response to a vaccine strain of NDV across three tissues and time points, using RNA-seq. Analyzing the Harderian gland, trachea, and lung tissues together using weighted gene co-expression network analysis (WGCNA) identified important genes that were co-expressed and associated with parameters including: genetic line, days post-infection (dpi), challenge status, sex, and tissue. Pathways and driver genes, such as EIF2AK2, MPEG1, and TNFSF13B, associated with challenge status, dpi, and genetic line were of particular interest as candidates for disease resistance. Overall, by jointly analyzing the three tissues, this study identified genes and gene networks that led to a more comprehensive understanding of the whole animal response to lentogenic NDV than that obtained by analyzing the tissues individually. Frontiers Media S.A. 2020-02-04 /pmc/articles/PMC7013128/ /pubmed/32117434 http://dx.doi.org/10.3389/fgene.2020.00011 Text en Copyright © 2020 Deist, Gallardo, Dekkers, Zhou and Lamont http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Deist, Melissa S.
Gallardo, Rodrigo A.
Dekkers, Jack C. M.
Zhou, Huaijun
Lamont, Susan J.
Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title_full Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title_fullStr Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title_full_unstemmed Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title_short Novel Combined Tissue Transcriptome Analysis After Lentogenic Newcastle Disease Virus Challenge in Inbred Chicken Lines of Differential Resistance
title_sort novel combined tissue transcriptome analysis after lentogenic newcastle disease virus challenge in inbred chicken lines of differential resistance
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7013128/
https://www.ncbi.nlm.nih.gov/pubmed/32117434
http://dx.doi.org/10.3389/fgene.2020.00011
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