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Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella

Coccidiosis, caused by various Eimeria species, is a major parasitic disease in chickens. Our understanding of how chickens respond to coccidian infections is highly limited at both the molecular and cellular levels. In this study, coexpression modules were identified by weighted gene coexpression n...

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Autores principales: Liu, Baohong, Ma, Xueting, Cai, Jianping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299102/
https://www.ncbi.nlm.nih.gov/pubmed/34307529
http://dx.doi.org/10.3389/fvets.2021.688684
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author Liu, Baohong
Ma, Xueting
Cai, Jianping
author_facet Liu, Baohong
Ma, Xueting
Cai, Jianping
author_sort Liu, Baohong
collection PubMed
description Coccidiosis, caused by various Eimeria species, is a major parasitic disease in chickens. Our understanding of how chickens respond to coccidian infections is highly limited at both the molecular and cellular levels. In this study, coexpression modules were identified by weighted gene coexpression network analysis in chickens infected with Eimeria tenella. A total of 15 correlation modules were identified using 5,175 genes with 24 chicken samples, 12 with primary and 12 with secondary E. tenella infection. The analysis of the interactions between these modules showed a high degree of scale independence. Gene Ontology and Kyoto Encyclopedia of Gene and Genomes enrichment analyses revealed that genes in these functional modules were involved in a broad categories of functions, such as immune response, amino acid metabolism, cellular responses to lipids, sterol biosynthetic processes, and RNA transport. Two modules viz yellow and magenta were identified significantly associating with infection status. Preservation analysis showed that most of the modules identified in E. tenella infections were highly or moderately preserved in chickens infected with either Eimeria acervulina or Eimeria maxima. These analyses outline a biological responses landscape for chickens infected by E. tenella, and also indicates that infections with these three Eimeria species elicit similar biological responses in chickens at the system level. These findings provide new clues and ideas for investigating the relationship between parasites and host, and the control of parasitic diseases.
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spelling pubmed-82991022021-07-24 Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella Liu, Baohong Ma, Xueting Cai, Jianping Front Vet Sci Veterinary Science Coccidiosis, caused by various Eimeria species, is a major parasitic disease in chickens. Our understanding of how chickens respond to coccidian infections is highly limited at both the molecular and cellular levels. In this study, coexpression modules were identified by weighted gene coexpression network analysis in chickens infected with Eimeria tenella. A total of 15 correlation modules were identified using 5,175 genes with 24 chicken samples, 12 with primary and 12 with secondary E. tenella infection. The analysis of the interactions between these modules showed a high degree of scale independence. Gene Ontology and Kyoto Encyclopedia of Gene and Genomes enrichment analyses revealed that genes in these functional modules were involved in a broad categories of functions, such as immune response, amino acid metabolism, cellular responses to lipids, sterol biosynthetic processes, and RNA transport. Two modules viz yellow and magenta were identified significantly associating with infection status. Preservation analysis showed that most of the modules identified in E. tenella infections were highly or moderately preserved in chickens infected with either Eimeria acervulina or Eimeria maxima. These analyses outline a biological responses landscape for chickens infected by E. tenella, and also indicates that infections with these three Eimeria species elicit similar biological responses in chickens at the system level. These findings provide new clues and ideas for investigating the relationship between parasites and host, and the control of parasitic diseases. Frontiers Media S.A. 2021-07-09 /pmc/articles/PMC8299102/ /pubmed/34307529 http://dx.doi.org/10.3389/fvets.2021.688684 Text en Copyright © 2021 Liu, Ma and Cai. https://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 Veterinary Science
Liu, Baohong
Ma, Xueting
Cai, Jianping
Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title_full Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title_fullStr Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title_full_unstemmed Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title_short Construction and Analysis of Coexpression Network to Understand Biological Responses in Chickens Infected by Eimeria tenella
title_sort construction and analysis of coexpression network to understand biological responses in chickens infected by eimeria tenella
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8299102/
https://www.ncbi.nlm.nih.gov/pubmed/34307529
http://dx.doi.org/10.3389/fvets.2021.688684
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