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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 #313976

Research Project: Functional Genomics Approaches for Controlling Diseases of Poultry

Location: Animal Biosciences & Biotechnology Laboratory

Title: Modulation of microrna in two genetically disparate chicken lines showing different necrotic enteritis disease susceptibility

Author
item BAN, JI HYE - Chung-Ang University
item HONG, YEONG HO - Chung-Ang University
item DINH, HUE - Chung-Ang University
item TRUONG, ANH DUC - Chung-Ang University
item PARK, BO YEONG - Chung-Ang University
item Lillehoj, Hyun

Submitted to: Poultry Science
Publication Type: Abstract Only
Publication Acceptance Date: 2/8/2014
Publication Date: 6/20/2014
Citation: Ban, J., Hong, Y., Dinh, H., Truong, A., Park, B., Lillehoj, H.S. 2014. Modulation of microrna in two genetically disparate chicken lines showing different necrotic enteritis disease susceptibility. Poultry Science. 93(6):1383-1395.

Interpretive Summary:

Technical Abstract: Necrotic enteritis (NE) is a re-emerging disease as a result of an increased restriction on the use of antibiotics in poultry. However, the molecular mechanisms underlying the pathology of NE are unclear. Therefore, we carried out small RNA transcriptome analysis in an experimentally induced NE model to investigate whether microRNAs (miRNA) may control the expression of genes associated with pathogenic challenge. We also developed expression profiles of the small RNA transcriptome, including known or novel miRNAs, using Marek’s disease (MD) resistant and MD-susceptible chicken lines. Next Generation Sequencing yielded ~40 million reads from each library. The data indicated that unique miRNAs represented only 0.02-0.04% of the total number of sequences, and these mapped to 544 known chicken miRNAs. Several of miRNAs which are identified in this study associated with target genes responding to NE and these include SOCS3- miR30b/c, CALB1- miR130b and CXCL14- miR101. Although, those results should be confirmed by further experiments, it should be useful for understanding pathogen host interaction as well as providing insight into markers of disease resistance.