Project description:Untargeted proteomics approaches were shown to be suitable for composition and authenticity analyses of highly processed mixed food and feed products. In this work, a normal-flow tandem mass spectrometry-based proteomics method was setup for analysis and authentication of insect meal from five different species. Novel data acquired on a Q Exactive Orbitrap (QE) was compared with previously published data obtained on QTOF. Data from both proteomics workflows were compared using compareMS2 and a Trans-Proteomics Pipeline (TPP). The results obtained for species differentiation, peptides, and protein markers detection were comparable across both approaches. The collected mass spectrometry data from both instruments also were used to build spectral libraries for insect species and matching was performed successfully. Lastly, both datasets were screened for known allergens and arginine kinase and tropomyosin were consistently detected confirming the presence of potential allergenic risks associated with the consumption of edible insects.
Project description:IMolting, a special period during which the old cuticle is shed and a new one is produced, is crucial to insect development. During their life cycles, insects that undergo complete metamorphosis may experience several larva-to-larva moltings to become larger, followed by larva-to-pupa and pupa-to-adult moltings to become adults. During the larva-to-larva molting stage, insect larvae stop consuming food and become restful. Whether any changes occur within the molting midgut before ecdysis remains known.
Project description:The research on alternative and sustainable feed ingredients is a challenge to reduce the feed-food competition between humans and monogastrics, in particular pigs. Former food products (FFPs) drop out from the industrial production of food such as pasta, bread, snacks and chips. They have a high nutritional and energetic value and represent an alternative and sustainable feed ingredient. The aim of this study was to apply label-free quantitative peptidomics to assess the impact of the inclusion of FFPs on serum peptidome.
Project description:Nutrition affects milk composition influencing its nutritional properties. Nutrition also modifies the expression of mammary genes, whose regulation is not completely known. MicroRNAs (miRNA) are small non-coding RNA that work as important post-transcriptional gene expression regulators by targeting messenger RNAs. Our goal was to characterize miRNA whose expression is regulated by nutrition in the lactating goat mammary gland, and which may give clues to decipher the regulations of milk components biosynthesis and secretion. Using high-throughput sequencing technology, miRNomes of the lactating mammary gland have been established from 4 goats fed ad libitum and 6 goats food deprived during 48h. Food deprivation affected the expression of 30 miRNA (padj<0.1), 16 were downregulated and 14 were upregulated. Prediction tools Diana-microT suggests a potential role of several nutriregulated miRNA in the lipid metabolism. Among putative targets 19 differently expressed genes (DEG) previously identified in the same sample, were found. Functions of these 19 DEG revealed their involvement in tissue remodeling. This study constitutes the first evidence of nutriregulated miRNA in the ruminant mammary gland. The characterization of these 30 miRNA could contribute to a better understanding of genes regulations in the mammary gland in response to nutrition. MicroRNA profiles of mammary glands from 10 Alpine goats at the peak of lactation (48 ± 2 days post-partum) generated by a HiSeq 2500 using Illumina Solexa technic.
