Cargando…

RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo

Eimeria tenella (E. tenella) is one of the most frequent and pathogenic species of protozoan parasites of the genus Eimeria that exclusively occupies the cecum, exerting a high economic impact on the poultry industry. To investigate differentially expressed genes (DEGs) in the cecal tissue of Jingha...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xiaohui, Zou, Wenbin, Yu, Hailiang, Lin, Yuxin, Dai, Guojun, Zhang, Tao, Zhang, Genxi, Xie, Kaizhou, Wang, Jinyu, Shi, Huiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627390/
https://www.ncbi.nlm.nih.gov/pubmed/31159150
http://dx.doi.org/10.3390/genes10060420
_version_ 1783434727253868544
author Wang, Xiaohui
Zou, Wenbin
Yu, Hailiang
Lin, Yuxin
Dai, Guojun
Zhang, Tao
Zhang, Genxi
Xie, Kaizhou
Wang, Jinyu
Shi, Huiqiang
author_facet Wang, Xiaohui
Zou, Wenbin
Yu, Hailiang
Lin, Yuxin
Dai, Guojun
Zhang, Tao
Zhang, Genxi
Xie, Kaizhou
Wang, Jinyu
Shi, Huiqiang
author_sort Wang, Xiaohui
collection PubMed
description Eimeria tenella (E. tenella) is one of the most frequent and pathogenic species of protozoan parasites of the genus Eimeria that exclusively occupies the cecum, exerting a high economic impact on the poultry industry. To investigate differentially expressed genes (DEGs) in the cecal tissue of Jinghai yellow chickens infected with E. tenella, the molecular response process, and the immune response mechanism during coccidial infection, RNA-seq was used to analyze the cecal tissues of an E. tenella infection group (JS) and an uninfected group (JC) on the seventh day post-infection. The DEGs were screened by functional and pathway enrichment analyses. The results indicated that there were 5477 DEGs (p-value < 0.05) between the JS and the JC groups, of which 2942 were upregulated, and 2535 were downregulated. GO analysis indicated that the top 30 significantly enriched GO terms mainly involved signal transduction, angiogenesis, inflammatory response, and blood vessel development. KEGG analysis revealed that the top significantly enriched signaling pathways included focal adhesion, extracellular matrix–receptor interaction, and peroxisome proliferator-activated receptor. The key DEGs in these pathways included ANGPTL4, ACSL5, VEGFC, MAPK10, and CD44. These genes play an important role in the infection of E. tenella. This study further enhances our understanding of the molecular mechanism of E. tenella infection in chickens.
format Online
Article
Text
id pubmed-6627390
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-66273902019-07-23 RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo Wang, Xiaohui Zou, Wenbin Yu, Hailiang Lin, Yuxin Dai, Guojun Zhang, Tao Zhang, Genxi Xie, Kaizhou Wang, Jinyu Shi, Huiqiang Genes (Basel) Article Eimeria tenella (E. tenella) is one of the most frequent and pathogenic species of protozoan parasites of the genus Eimeria that exclusively occupies the cecum, exerting a high economic impact on the poultry industry. To investigate differentially expressed genes (DEGs) in the cecal tissue of Jinghai yellow chickens infected with E. tenella, the molecular response process, and the immune response mechanism during coccidial infection, RNA-seq was used to analyze the cecal tissues of an E. tenella infection group (JS) and an uninfected group (JC) on the seventh day post-infection. The DEGs were screened by functional and pathway enrichment analyses. The results indicated that there were 5477 DEGs (p-value < 0.05) between the JS and the JC groups, of which 2942 were upregulated, and 2535 were downregulated. GO analysis indicated that the top 30 significantly enriched GO terms mainly involved signal transduction, angiogenesis, inflammatory response, and blood vessel development. KEGG analysis revealed that the top significantly enriched signaling pathways included focal adhesion, extracellular matrix–receptor interaction, and peroxisome proliferator-activated receptor. The key DEGs in these pathways included ANGPTL4, ACSL5, VEGFC, MAPK10, and CD44. These genes play an important role in the infection of E. tenella. This study further enhances our understanding of the molecular mechanism of E. tenella infection in chickens. MDPI 2019-05-31 /pmc/articles/PMC6627390/ /pubmed/31159150 http://dx.doi.org/10.3390/genes10060420 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Wang, Xiaohui
Zou, Wenbin
Yu, Hailiang
Lin, Yuxin
Dai, Guojun
Zhang, Tao
Zhang, Genxi
Xie, Kaizhou
Wang, Jinyu
Shi, Huiqiang
RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title_full RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title_fullStr RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title_full_unstemmed RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title_short RNA Sequencing Analysis of Chicken Cecum Tissues Following Eimeria tenella Infection in Vivo
title_sort rna sequencing analysis of chicken cecum tissues following eimeria tenella infection in vivo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6627390/
https://www.ncbi.nlm.nih.gov/pubmed/31159150
http://dx.doi.org/10.3390/genes10060420
work_keys_str_mv AT wangxiaohui rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT zouwenbin rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT yuhailiang rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT linyuxin rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT daiguojun rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT zhangtao rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT zhanggenxi rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT xiekaizhou rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT wangjinyu rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo
AT shihuiqiang rnasequencinganalysisofchickencecumtissuesfollowingeimeriatenellainfectioninvivo