Abstract

Differential abundance of allelic transcripts in a diploid organism, commonly referred to as allele specific expression (ASE), is a biologically significant phenomenon and can be examined using single nucleotide polymorphisms (SNPs) from RNA-seq. Quantifying ASE aids in our ability to identify and understand cis-regulatory mechanisms that influence gene expression, and thereby assist in identifying causal mutations. This study examines ASE in breast muscle, abdominal fat, and liver of commercial broiler chickens using variants called from a large sub-set of the samples (n = 68). ASE analysis was performed using a custom software called VCF ASE Detection Tool (VADT), which detects ASE of biallelic SNPs using a binomial test. On average ~ 174,000 SNPs in each tissue passed our filtering criteria and were considered informative, of which ~ 24,000 (~ 14%) showed ASE. Of all ASE SNPs, only 3.7% exhibited ASE in all three tissues, with ~ 83% showing ASE specific to a single tissue. When ASE genes (genes containing ASE SNPs) were compared between tissues, the overlap among all three tissues increased to 20.1%. Our results indicate that ASE genes show tissue-specific enrichment patterns, but all three tissues showed enrichment for pathways involved in translation.

Details

Title
Investigation of allele specific expression in various tissues of broiler chickens using the detection tool VADT
Author
Tomlinson M Joseph IV 1 ; Polson, Shawn W 2 ; Qiu Jing 3 ; Lake, Juniper A 1 ; Lee, William 4 ; Abasht Behnam 1 

 University of Delaware, Department of Animal and Food Sciences, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791); University of Delaware, Center for Bioinformatics and Computational Biology, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791) 
 University of Delaware, Department of Computer and Information Sciences, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791); University of Delaware, Department of Biological Sciences, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791); University of Delaware, Center for Bioinformatics and Computational Biology, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791) 
 University of Delaware, Department of Applied Economics and Statistics, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791); University of Delaware, Center for Bioinformatics and Computational Biology, Newark, USA (GRID:grid.33489.35) (ISNI:0000 0001 0454 4791) 
 Maple Leaf Farms, Inc., Leesburg, USA (GRID:grid.33489.35) 
Publication year
2021
Publication date
2021
Publisher
Nature Publishing Group
e-ISSN
20452322
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2490400467
Copyright
© The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.