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ARS Home » Northeast Area » Beltsville, Maryland (BARC) » Beltsville Agricultural Research Center » Animal Biosciences & Biotechnology Laboratory » Research » Publications at this Location » Publication #313978

Research Project: Functional Genomics Approaches for Controlling Diseases of Poultry

Location: Animal Biosciences & Biotechnology Laboratory

Title: Gene ontology of differentially expressed genes in the Necrotic enteritis induced chicken lines

Author
item TRUONG, ANH DUC - Chung-Ang University
item PARK, BOYEONG - Chung-Ang University
item BAN, JIHYAE - Chung-Ang University
item HONG, JEONG HO - Chung-Ang University
item Lillehoj, Hyun

Submitted to: Annual Asian Pacific Poultry Conference
Publication Type: Abstract Only
Publication Acceptance Date: 3/10/2015
Publication Date: N/A
Citation: N/A

Interpretive Summary:

Technical Abstract: Necrotic enteritis caused by Clostridium perfringens has become prevalent in the broiler industry due to the withdrawal of antibiotics in poultry feed. The expression level of intestinal mRNA from two chicken lines (line 6.3: MD-resistant and 7.2: MD-susceptible) was significantly different following co-infection with Eimeria maxima and Clostridium perfringens based on RNA-seq analysis. Among the genes mapped to the reference genome, we found about 54 differentially expressed genes (DEGs) in chicken line 6.3. Of these, 43 genes were upregulated and 11 genes were downregulated when compared to the uninfected control. Similarly, we found 53 DEGs in chicken line 7.2. Of these, 25 genes were upregulated and 28 genes were downregulated compared to the control. In addition, we examined the DEGs between chicken line 6.3 and 7.2. we found in total 91 DEGs in chicken line 6.3 compared to chicken line 7.2. Among those 91 DEGs, 40 genes were upregulated and 51 genes were downregulated. Then, we examined the Gene Ontology (GO), all the DEGs showed at least a two-fold difference (p<0.01) in the test samples using Blast2Go (bersion 2.7.1). The results of GO analysis showed 346 terms in biological process, 66 terms in cellular component, and 218 terms in molecular functions. In the GO of biological process, the sub-category ‘single-organism process’ received the most hits. In the GO of cellular component, the sub-category ‘cell activities’ received most hits. In the GO of molecular function, the sub-category ‘receptor cell binding’ received most hits. These results improved our current understanding of genetic responses of two chicken lines to pathogens.