Analysis of chicken transcriptomes to predict functions of novel genes

IBDV infection has long been studied to have adverse effects of poultry industry. Discovery of vaccines against the disease has still not proven to completely control the same. With that as the primary goal this study aims to look at novel genes that could be potential targets against the disease or...

Full description

Saved in:
Bibliographic Details
Main Authors: Ravi, Sharanya, Mat Isa, Nurulfiza, Omar, Abdul Rahman, Bejo, Mohd Hair, Ideris, Aini
Format: Conference or Workshop Item
Language:English
Published: Faculty of Veterinary Medicine, Universiti Putra Malaysia 2015
Online Access:http://psasir.upm.edu.my/id/eprint/65044/1/PA-43.pdf
http://psasir.upm.edu.my/id/eprint/65044/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.upm.eprints.65044
record_format eprints
spelling my.upm.eprints.650442018-09-03T04:49:31Z http://psasir.upm.edu.my/id/eprint/65044/ Analysis of chicken transcriptomes to predict functions of novel genes Ravi, Sharanya Mat Isa, Nurulfiza Omar, Abdul Rahman Bejo, Mohd Hair Ideris, Aini IBDV infection has long been studied to have adverse effects of poultry industry. Discovery of vaccines against the disease has still not proven to completely control the same. With that as the primary goal this study aims to look at novel genes that could be potential targets against the disease or could give more information about the pathogenicity of the virus. In this study Transcriptomes from RNA-seq analysis was obtained for 6 different cell lines infected with IBDV. The set of sequences that did not map to the reference genome of Gallus gallus were analysed to search for novel gene that is differentially expressed due to IBDV infection. To understand the function of unknown sequences networks were generated using the R tool WGCNA (Weighted Gene Correlation Network Analysis) which primarily looks at the most correlated genes and clusters them into modules. Thus it becomes easy to identify the functions of those sequences that have not been annotated before. Out of ~10,800 sequences that did not map with the reference genome, most significant sequences (log2 fold change <-2 or >2) were filtered (~600). The predicted functions of the commonly up regulated and down-regulated sequences (12 up-regulated and 18 down-regulated) were found to be immune related and extracellular binding related respectively. These predictions enable us to further confirm the presence of these sequences in the chicken tissue and help focus on them as potential drug targets. Further work on these sequences would include analysis of the structure of the protein they translate and examine to see if they could be a drug target. Faculty of Veterinary Medicine, Universiti Putra Malaysia 2015 Conference or Workshop Item PeerReviewed text en http://psasir.upm.edu.my/id/eprint/65044/1/PA-43.pdf Ravi, Sharanya and Mat Isa, Nurulfiza and Omar, Abdul Rahman and Bejo, Mohd Hair and Ideris, Aini (2015) Analysis of chicken transcriptomes to predict functions of novel genes. In: World Veterinary Poultry Association (Malaysia Branch) and World's Poultry Science Association (Malaysia Branch) Scientific Conference 2015, 21-22 Sept. 2015, Kuala Lumpur Convention Centre, Kuala Lumpur, Malaysia. (pp. 203-204).
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description IBDV infection has long been studied to have adverse effects of poultry industry. Discovery of vaccines against the disease has still not proven to completely control the same. With that as the primary goal this study aims to look at novel genes that could be potential targets against the disease or could give more information about the pathogenicity of the virus. In this study Transcriptomes from RNA-seq analysis was obtained for 6 different cell lines infected with IBDV. The set of sequences that did not map to the reference genome of Gallus gallus were analysed to search for novel gene that is differentially expressed due to IBDV infection. To understand the function of unknown sequences networks were generated using the R tool WGCNA (Weighted Gene Correlation Network Analysis) which primarily looks at the most correlated genes and clusters them into modules. Thus it becomes easy to identify the functions of those sequences that have not been annotated before. Out of ~10,800 sequences that did not map with the reference genome, most significant sequences (log2 fold change <-2 or >2) were filtered (~600). The predicted functions of the commonly up regulated and down-regulated sequences (12 up-regulated and 18 down-regulated) were found to be immune related and extracellular binding related respectively. These predictions enable us to further confirm the presence of these sequences in the chicken tissue and help focus on them as potential drug targets. Further work on these sequences would include analysis of the structure of the protein they translate and examine to see if they could be a drug target.
format Conference or Workshop Item
author Ravi, Sharanya
Mat Isa, Nurulfiza
Omar, Abdul Rahman
Bejo, Mohd Hair
Ideris, Aini
spellingShingle Ravi, Sharanya
Mat Isa, Nurulfiza
Omar, Abdul Rahman
Bejo, Mohd Hair
Ideris, Aini
Analysis of chicken transcriptomes to predict functions of novel genes
author_facet Ravi, Sharanya
Mat Isa, Nurulfiza
Omar, Abdul Rahman
Bejo, Mohd Hair
Ideris, Aini
author_sort Ravi, Sharanya
title Analysis of chicken transcriptomes to predict functions of novel genes
title_short Analysis of chicken transcriptomes to predict functions of novel genes
title_full Analysis of chicken transcriptomes to predict functions of novel genes
title_fullStr Analysis of chicken transcriptomes to predict functions of novel genes
title_full_unstemmed Analysis of chicken transcriptomes to predict functions of novel genes
title_sort analysis of chicken transcriptomes to predict functions of novel genes
publisher Faculty of Veterinary Medicine, Universiti Putra Malaysia
publishDate 2015
url http://psasir.upm.edu.my/id/eprint/65044/1/PA-43.pdf
http://psasir.upm.edu.my/id/eprint/65044/
_version_ 1643838202794999808
score 13.1944895