Dataset Information

Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos).

ABSTRACT: BACKGROUND:Long non-coding RNAs (lncRNAs) are important component of mammalian genomes, where their numbers are even larger than that of protein-coding genes. For example, human (Homo sapiens) (96,308 vs. 20,376) and mouse (Mus musculus) (87,774 vs. 22,630) have more lncRNA genes than protein-coding genes in the NONCODEv5 database. Recently, mammalian lncRNAs were reported to play critical roles in immune response to influenza A virus infections. Such observation inspired us to identify lncRNAs related to immune response to influenza A virus in duck, which is the most important natural host of influenza A viruses. RESULTS:We explored features of 62,447 lncRNAs from human, mouse, chicken, zebrafish and elegans, and developed a pipeline to identify lncRNAs using the identified features with transcriptomic data. We then collected 151,970 assembled transcripts from RNA-Seq data of 21 individuals from three tissues and annotated 4094 duck lncRNAs. Comparing to duck protein-coding transcripts, we found that 4094 lncRNAs had smaller number of exons (2.4 vs. 10.2) and longer length of transcripts (1903.0?bp vs. 1686.9?bp) on average. Among them, 3586 (87.6%) lncRNAs located in intergenic regions and 619 lncRNAs showed differential expression in ducks infected by H5N1 virus when compared to control individuals. 58 lncRNAs were involved into two co-expressional modules related to anti-influenza A virus immune response. Moreover, we confirmed that eight lncRNAs showed remarkably differential expression both in vivo (duck individuals) and in vitro (duck embryo fibroblast cells, DEF cells) after infected with H5N1 viruses, implying they might play important roles in response to influenza A virus infection. CONCLUSIONS:This study presented an example to annotate lncRNA in new species based on model species using transcriptome data. These data and analysis provide information for duck lncRNAs' function in immune response to influenza A virus.

SUBMITTER: Lu C

PROVIDER: S-EPMC6330444 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature

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Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos).

Lu Chang C Xing Yanling Y Cai Han H Shi Yirong Y Liu Jinhua J Huang Yinhua Y

BMC genomics 20190111 1

<h4>Background</h4>Long non-coding RNAs (lncRNAs) are important component of mammalian genomes, where their numbers are even larger than that of protein-coding genes. For example, human (Homo sapiens) (96,308 vs. 20,376) and mouse (Mus musculus) (87,774 vs. 22,630) have more lncRNA genes than protein-coding genes in the NONCODEv5 database. Recently, mammalian lncRNAs were reported to play critical roles in immune response to influenza A virus infections. Such observation inspired us to identify ...[more]

PMID: 30634898

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Project description:Background: Skeletal muscle growth and development is highly orchestrated in gene expressions. Understanding the location-specific and breed-specific genes and pathways are agriculturally important on meat products and meat quality. In the present study, RNA-Seq was performed to elucidate the difference of muscle deposition between locations and breeds for functional genomics studies. To achieve those goals, skeletal muscle samples were collected for pectoral muscle (PM) and leg muscle (LM) of two genetically different duck breeds, Heiwu duck (H) and Peking duck (P), at embryonic 15 days. Functional genomics studies were performed in two experiments: Experiment 1 directly compared location-specific genes between PM and LM, while Experiment 2 compared the two breeds (H and P) at the same development stage (embryonic 15 days). Results: Almost 13 million clean reads was generated using Illumina technology on each library, and more than 70% reads mapped to Anas platyrhynchos breed Peking duck genome. We identified 246, 258, 20 and 54 differentially expressed genes (DEGs) (log2.fold-change >0.5, and P-value <0.05) for H-PM vs H-LM, P-PM vs P-LM, H-LM vs P-LM and H-PM vs P-PM library, separately. A total of 168 genes were differentially expressed by over locations in experiment 1, while only 8 genes were differentially expressed by over breeds in experiment 2. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathways (KEGG) were used to functionally annotate DGEs. In experiment 1, DEGs mainly involved in Focal adhesion, PI3K-Akt signaling pathway and ECM-receptor interaction pathways (corrected P-value<0.05). In experiment 2, DEGs only associated with ribosome signal pathway (corrected P-value<0.05). In addition, quantitative real-time PCR was employed to confirm 15 differentially expressed genes detected by RNA-Seq. Conclusions: Comparative transcript analysis of leg muscle and pectoral muscle of two duck breeds not only improves our understanding of those location-specific and breed-specific genes and pathways, but also provides some candidate molecular targets for increase muscle products and meat quality by genetic control. Conclusions: Our study represents the first detailed analysis of duck breed muscle transcriptomes generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

Dataset Information

Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos).

Publications

Identification and analysis of long non-coding RNAs in response to H5N1 influenza viruses in duck (Anas platyrhynchos).

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