Identification of differential duodenal gene expression levels and microbiota abundance correlated with differences in energy utilisation in chickens
Barbara M. Konsak A B D G , Dragana Stanley A D F G , Volker R. Haring A , Mark S. Geier B C D , Robert J. Hughes B C D , Gordon S. Howarth B , Tamsyn M. Crowley A D E and Robert J. Moore A D HA Australian Animal Health Laboratory, CSIRO Animal, Food and Health Sciences, Geelong, Vic. 3220, Australia.
B School of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia.
C South Australian Research and Development Institute, Pig and Poultry Production Institute, Nutrition Research Laboratory, Roseworthy, SA 5371, Australia.
D Poultry Cooperative Research Centre, PO Box U242, University of New England, Armidale, NSW 2315, Australia.
E School of Medicine, Deakin University, Geelong, Vic. 3220, Australia.
F Central Queensland University, Higher Education Division, Bruce Highway, Rockhampton, Qld, 4702.
G Made equal contributions: co-first authorship.
H Corresponding author. Email: rob.moore@csiro.au
Animal Production Science 53(12) 1269-1275 https://doi.org/10.1071/AN12426
Submitted: 13 December 2012 Accepted: 2 August 2013 Published: 1 October 2013
Journal Compilation © CSIRO Publishing 2013 Open Access CC BY-NC-ND
Abstract
Among the terrestrial production animals, chickens are the most efficient users of energy. Apparent metabolisable energy (AME) is a measure of energy utilisation efficiency representing the difference between energy consumed and energy lost via the excreta. There are significant differences in the energy utilisation capability of individual birds that have a similar genetic background and are raised under identical conditions. It would be of benefit to poultry producers if the basis of these differences could be understood and the differences minimised. We analysed duodenal gene expression and microbiota differences in birds with different energy utilisation efficiencies. Using microarray analysis, significant differences were found in duodenal gene expression between high- and low-AME birds, indicating that level of cell turnover may distinguish different groups of birds. High-throughput sequencing of bacterial 16S rRNA genes indicated that duodenal microbiota was dominated by Lactobacillus species and two operational taxonomic units, identified as lactobacilli species, were found to be more abundant (P < 0.05) in low-AME birds. The present study has identified gene expression and microbiota properties that correlate with differences in AME; further studies will be required to investigate the causal relationships.
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