期刊
ANIMAL GENETICS
卷 38, 期 4, 页码 319-331出版社
WILEY
DOI: 10.1111/j.1365-2052.2007.01615.x
关键词
dietary deficiency; immune response; intestine; phosphorus-responsive genes; trout
Nutrient-responsive genes can identify important metabolic pathways and evaluate optimal dietary levels. Using a 16K Salmo salar microarray, we identified in rainbow trout (Oncorhynchus mykiss) 21 potential phosphorus (P)-responsive genes, mainly involved in immune response, proteolysis or transport, whose expression levels changed in the intestine after 5 days of feeding a low-P (LP) diet. Diet-induced changes in the expression levels of several genes in each fish were tightly correlated with changes in serum P, and the changes persisted for an additional 15 days after dietary P deficiency. We then evaluated these and previously identified P-responsive genes under simulated farm conditions, and monitored the intestinal gene expression from 6 h to 7 days after the trout were switched from a sufficient-P (SP) diet to a LP diet (SP -> LP), and from a LP diet to a SP diet (LP -> SP). After 7 days, mean serum P decreased 0.14 mM/day for SP -> LP and increased 0.10 mmday for LP -> SP. The mRNA abundance of the metalloendopeptidase meprin 1 alpha (MEP1 alpha), the Na+-dependent phosphate co-transporter (NaPi2b,SLC34A2), the sulfotransferase SULT2 beta 1 and carbonic anhydrase XIII genes all increased after SP -> LP and decreased after LP -> SP, suggesting that adaptive expression is reversible and correlated with dietary P. The duration of change in gene expression in response to SP -> LP was generally shorter than that of LP -> SP, suggesting potentially different mechanisms of adaptation to deficiency as opposed to excess. Diet-induced changes in mRNA abundance of other genes were either transient or modest. We identified, by heterologous microarray hybridization, new genes sensitive to perturbations in dietary P, and then showed that these genes can reliably monitor P deficiency under field conditions. Simultaneous changes in the expression of these P biomarkers could predict either P deficiency (to prevent economic losses to the farmers) or P excess (to prevent inadvertent pollution of nearby waters).
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