Cargando…

Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance

BACKGROUND: Marek’s disease virus (MDV) is an oncogenic herpesvirus that can cause T-cell lymphomas in chicken. Long noncoding RNA (lncRNA) is strongly associated with various cancers and many other diseases. In chickens, lncRNAs have not been comprehensively identified. Here, we profiled mRNA and l...

Descripción completa

Detalles Bibliográficos
Autores principales: You, Zhen, Zhang, Qinghe, Liu, Changjun, Song, Jiuzhou, Yang, Ning, Lian, Ling
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438004/
https://www.ncbi.nlm.nih.gov/pubmed/30922224
http://dx.doi.org/10.1186/s12864-019-5625-1
_version_ 1783407038821302272
author You, Zhen
Zhang, Qinghe
Liu, Changjun
Song, Jiuzhou
Yang, Ning
Lian, Ling
author_facet You, Zhen
Zhang, Qinghe
Liu, Changjun
Song, Jiuzhou
Yang, Ning
Lian, Ling
author_sort You, Zhen
collection PubMed
description BACKGROUND: Marek’s disease virus (MDV) is an oncogenic herpesvirus that can cause T-cell lymphomas in chicken. Long noncoding RNA (lncRNA) is strongly associated with various cancers and many other diseases. In chickens, lncRNAs have not been comprehensively identified. Here, we profiled mRNA and lncRNA repertoires in three groups of spleens from MDV-infected and non-infected chickens, including seven tumorous spleens (TS) from MDV-infected chickens, five spleens from the survivors (SS) without lesions after MDV infection, and five spleens from noninfected chickens (NS), to explore the underlying mechanism of host resistance in Marek’s disease (MD). RESULTS: By using a precise lncRNA identification pipeline, we identified 1315 putative lncRNAs and 1166 known lncRNAs in spleen tissue. Genomic features of putative lncRNAs were characterized. Differentially expressed (DE) mRNAs, putative lncRNAs, and known lncRNAs were profiled among three groups. We found that several specific intergroup differentially expressed genes were involved in important biological processes and pathways, including B cell activation and the Wnt signaling pathway; some of these genes were also found to be the hub genes in the co-expression network analyzed by WGCNA. Network analysis depicted both intergenic correlation and correlation between genes and MD traits. Five DE lncRNAs including MSTRG.360.1, MSTRG.6725.1, MSTRG.6754.1, MSTRG.15539.1, and MSTRG.7747.5 strongly correlated with MD-resistant candidate genes, such as IGF-I, CTLA4, HDAC9, SWAP70, CD72, JCHAIN, CXCL12, and CD8B, suggesting that lncRNAs may affect MD resistance and tumorigenesis in chicken spleens through their target genes. CONCLUSIONS: Our results provide both transcriptomic and epigenetic insights on MD resistance and its pathological mechanism. The comprehensive lncRNA and mRNA transcriptomes in MDV-infected chicken spleens were profiled. Co-expression analysis identified integrated lncRNA-mRNA and gene-gene interaction networks, implying that hub genes or lncRNAs exert critical influence on MD resistance and tumorigenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5625-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6438004
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-64380042019-04-08 Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance You, Zhen Zhang, Qinghe Liu, Changjun Song, Jiuzhou Yang, Ning Lian, Ling BMC Genomics Research Article BACKGROUND: Marek’s disease virus (MDV) is an oncogenic herpesvirus that can cause T-cell lymphomas in chicken. Long noncoding RNA (lncRNA) is strongly associated with various cancers and many other diseases. In chickens, lncRNAs have not been comprehensively identified. Here, we profiled mRNA and lncRNA repertoires in three groups of spleens from MDV-infected and non-infected chickens, including seven tumorous spleens (TS) from MDV-infected chickens, five spleens from the survivors (SS) without lesions after MDV infection, and five spleens from noninfected chickens (NS), to explore the underlying mechanism of host resistance in Marek’s disease (MD). RESULTS: By using a precise lncRNA identification pipeline, we identified 1315 putative lncRNAs and 1166 known lncRNAs in spleen tissue. Genomic features of putative lncRNAs were characterized. Differentially expressed (DE) mRNAs, putative lncRNAs, and known lncRNAs were profiled among three groups. We found that several specific intergroup differentially expressed genes were involved in important biological processes and pathways, including B cell activation and the Wnt signaling pathway; some of these genes were also found to be the hub genes in the co-expression network analyzed by WGCNA. Network analysis depicted both intergenic correlation and correlation between genes and MD traits. Five DE lncRNAs including MSTRG.360.1, MSTRG.6725.1, MSTRG.6754.1, MSTRG.15539.1, and MSTRG.7747.5 strongly correlated with MD-resistant candidate genes, such as IGF-I, CTLA4, HDAC9, SWAP70, CD72, JCHAIN, CXCL12, and CD8B, suggesting that lncRNAs may affect MD resistance and tumorigenesis in chicken spleens through their target genes. CONCLUSIONS: Our results provide both transcriptomic and epigenetic insights on MD resistance and its pathological mechanism. The comprehensive lncRNA and mRNA transcriptomes in MDV-infected chicken spleens were profiled. Co-expression analysis identified integrated lncRNA-mRNA and gene-gene interaction networks, implying that hub genes or lncRNAs exert critical influence on MD resistance and tumorigenesis. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-019-5625-1) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-28 /pmc/articles/PMC6438004/ /pubmed/30922224 http://dx.doi.org/10.1186/s12864-019-5625-1 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
You, Zhen
Zhang, Qinghe
Liu, Changjun
Song, Jiuzhou
Yang, Ning
Lian, Ling
Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title_full Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title_fullStr Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title_full_unstemmed Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title_short Integrated analysis of lncRNA and mRNA repertoires in Marek’s disease infected spleens identifies genes relevant to resistance
title_sort integrated analysis of lncrna and mrna repertoires in marek’s disease infected spleens identifies genes relevant to resistance
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6438004/
https://www.ncbi.nlm.nih.gov/pubmed/30922224
http://dx.doi.org/10.1186/s12864-019-5625-1
work_keys_str_mv AT youzhen integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance
AT zhangqinghe integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance
AT liuchangjun integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance
AT songjiuzhou integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance
AT yangning integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance
AT lianling integratedanalysisoflncrnaandmrnarepertoiresinmareksdiseaseinfectedspleensidentifiesgenesrelevanttoresistance