Literature DB >> 34147086

Functional prediction of de novo uni-genes from chicken transcriptomic data following infectious bursal disease virus at 3-days post-infection.

Sharanya Ravi1, Mohd Hair-Bejo1,2, Abdul Rahman Omar1,2, Aini Ideris1,3, Nurulfiza Mat Isa4,5, Bahiyah Azli1.   

Abstract

BACKGROUND: Infectious bursal disease (IBD) is an economically very important issue to the poultry industry and it is one of the major threats to the nation's food security. The pathogen, a highly pathogenic strain of a very virulent IBD virus causes high mortality and immunosuppression in chickens. The importance of understanding the underlying genes that could combat this disease is now of global interest in order to control future outbreaks. We had looked at identified novel genes that could elucidate the pathogenicity of the virus following infection and at possible disease resistance genes present in chickens.
RESULTS: A set of sequences retrieved from IBD virus-infected chickens that did not map to the chicken reference genome were de novo assembled, clustered and analysed. From six inbred chicken lines, we managed to assemble 10,828 uni-transcripts and screened 618 uni-transcripts which were the most significant sequences to known genes, as determined by BLASTX searches. Based on the differentially expressed genes (DEGs) analysis, 12 commonly upregulated and 18 downregulated uni-genes present in all six inbred lines were identified with false discovery rate of q-value < 0.05. Yet, only 9 upregulated and 13 downregulated uni-genes had BLAST hits against the Non-redundant and Swiss-Prot databases. The genome ontology enrichment keywords of these DEGs were associated with immune response, cell signalling and apoptosis. Consequently, the Weighted Gene Correlation Network Analysis R tool was used to predict the functional annotation of the remaining unknown uni-genes with no significant BLAST hits. Interestingly, the functions of the three upregulated uni-genes were predicted to be related to innate immune response, while the five downregulated uni-genes were predicted to be related to cell surface functions. These results further elucidated and supported the current molecular knowledge regarding the pathophysiology of chicken's bursal infected with IBDV.
CONCLUSION: Our data revealed the commonly up- and downregulated novel uni-genes identified to be immune- and extracellular binding-related, respectively. Besides, these novel findings are valuable contributions in improving the current existing integrative chicken transcriptomics annotation and may pave a path towards the control of viral particles especially towards the suppression of IBD and other infectious diseases in chickens.

Entities:  

Keywords:  Bursa; Chickens; De novo; Downregulated; Gallus gallus; Immune; Infectious bursal disease virus; RNA-sequencing; Transcriptomics; Upregulated

Year:  2021        PMID: 34147086     DOI: 10.1186/s12864-021-07690-3

Source DB:  PubMed          Journal:  BMC Genomics        ISSN: 1471-2164            Impact factor:   3.969


  37 in total

1.  Bursal immunopathology responses of specific-pathogen-free chickens and red jungle fowl infected with very virulent infectious bursal disease virus.

Authors:  Mohd Isa Farhanah; Abdul Rahaman Yasmin; Nguyen Phuc Khanh; Swee Keong Yeap; Mohd Hair-Bejo; Abdul Rahman Omar
Journal:  Arch Virol       Date:  2018-04-06       Impact factor: 2.574

Review 2.  Ex-FABP, extracellular fatty acid binding protein, is a stress lipocalin expressed during chicken embryo development.

Authors:  Fiorella Descalzi Cancedda; Beatrice Dozin; Barbara Zerega; Silvia Cermelli; Chiara Gentili; Ranieri Cancedda
Journal:  Mol Cell Biochem       Date:  2002-10       Impact factor: 3.396

3.  RNA Binding Protein RBM38 Regulates Expression of the 11-Kilodalton Protein of Parvovirus B19, Which Facilitates Viral DNA Replication.

Authors:  Safder S Ganaie; Aaron Yun Chen; Chun Huang; Peng Xu; Steve Kleiboeker; Aifang Du; Jianming Qiu
Journal:  J Virol       Date:  2018-03-28       Impact factor: 5.103

Review 4.  Novel targets for interleukin 18 binding protein.

Authors:  C A Dinarello
Journal:  Ann Rheum Dis       Date:  2001-11       Impact factor: 19.103

5.  Differences in genetic background influence the induction of innate and acquired immune responses in chickens depending on the virulence of the infecting infectious bursal disease virus (IBDV) strain.

Authors:  Merve Aricibasi; Arne Jung; E Dan Heller; Silke Rautenschlein
Journal:  Vet Immunol Immunopathol       Date:  2009-11-18       Impact factor: 2.046

6.  Genetic differences in susceptibility of chicken lines to infection with infectious bursal disease virus.

Authors:  N Bumstead; R L Reece; J K Cook
Journal:  Poult Sci       Date:  1993-03       Impact factor: 3.352

7.  Bursal transcriptome profiling of different inbred chicken lines reveals key differentially expressed genes at 3 days post-infection with very virulent infectious bursal disease virus.

Authors:  Mohd Isa Farhanah; Abd Rahaman Yasmin; Nurulfiza Mat Isa; Mohd Hair-Bejo; Aini Ideris; Claire Powers; Omobolanle Oladapo; Venugopal Nair; Jia-Shiun Khoo; Ahmad-Kamal Ghazali; Wai-Yan Yee; Abdul Rahman Omar
Journal:  J Gen Virol       Date:  2017-10-23       Impact factor: 3.891

8.  Blast2GO: a universal tool for annotation, visualization and analysis in functional genomics research.

Authors:  Ana Conesa; Stefan Götz; Juan Miguel García-Gómez; Javier Terol; Manuel Talón; Montserrat Robles
Journal:  Bioinformatics       Date:  2005-08-04       Impact factor: 6.937

9.  UpSetR: an R package for the visualization of intersecting sets and their properties.

Authors:  Jake R Conway; Alexander Lex; Nils Gehlenborg
Journal:  Bioinformatics       Date:  2017-09-15       Impact factor: 6.937

10.  Global transcriptome analysis of H5N1 influenza virus-infected human cells.

Authors:  Ying Cao; Kun Zhang; Lirong Liu; Wei Li; Bin Zhu; Shuang Zhang; Ping Xu; Wenjun Liu; Jing Li
Journal:  Hereditas       Date:  2019-02-06       Impact factor: 3.271

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