Title of article :
The effects of pathogen challenges on the performance of naı¨ve and immune animals: the problem of prediction
Author/Authors :
andberg، F. B نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2007
Abstract :
Predictive frameworks for performance under both physical and social stressors are available, but no general framework yet exists
for predicting the performance of animals exposed to pathogens. The aim of this paper was to identify the key problems that
would need to be solved to achieve this. Challenges of a range of hosts by a range of pathogens were reviewed to consider
reductions in growth beyond those associated with reductions in voluntary food intake (VFI). Pair-feeding and marginal response
studies identified the extent and mechanisms of how further reductions in growth occur beyond those caused by reduced VFI.
Further reductions in growth depended on the pathogen, the host and the dose and were time dependent. In some instances the
reduction in VFI fully explained the reduction in growth. Marginal response experiments showed increased maintenance
requirements during exposure to pathogens, but these were different for specific amino acids. There were no clear effects on
marginal efficiency. Innate immune functions, repair of damaged tissue and expression of acquired immunity caused significant
but variable increases in protein (amino acid) requirements. More resistant genotypes had greater requirements for mounting
immune responses. The partitioning of protein (amino acids) was found to be different during pathogen challenges. Prediction of
the requirements and partitioning of amino acids between growth and immune functions appears to be a crucial problem to solve
in order to predict performance during pathogen challenges of different kinds and doses. The problems of accounting for
reductions in performance during pathogen challenges that are described here provide a useful starting point for future modelling
and experimental solutions.
Keywords :
Protein , pathogens , Diseases , growth , Energy