Suchergebnisse

The study of gut microbiota and its effects on hosts has emerged as an essential component of host homeostasisand global efficiency. Besides host's influence on gut microbiota, major quantitative and qualitative changes mayoccur in the composition of the intestinal microbiota due to the influence of diet and other environmental factors.In accordance with the TREASURE project global aim of enhancing sustainability of production systems for localpig breeds, the objective of our task was to conduct a pilot characterisation of intestinal microbiota in order to testits usefulness to characterize several local European pig populations and their production systems. This approachhas been applied to populations belonging to the following European traditional breeds: Gascon (France), Iberian(Spain), Krskopolje (Slovenia), Mangalitsa (Serbia), Moravka (Serbia) and Turopolje (Croatia). For each breed,faecal samples have been collected along different experiments performed in the TREASURE project targetingthe comprehension of a particular traditional production system (e.g. open-air farming), management practice,or the comparison of breeds. In all experiments, the metagenomics technique employed is the re-sequencing ofthe bacterial 16S in an Illumina MiSeq system. Overall, the results have shown that the gut microbiota analysis isa promising approach for the characterisation of these local breeds, by allowing a deeper understanding of theirproduction systems and potentially allowing the development of new certification approaches. Preliminary resultswill be summarized in this communication. Funded by European Union's H2020 RIA program (Grant agreementno. 634476).

The study of gut microbiota and its effects on hosts has emerged as an essential component of host homeostasisand global efficiency. Besides host's influence on gut microbiota, major quantitative and qualitative changes mayoccur in the composition of the intestinal microbiota due to the influence of diet and other environmental factors.In accordance with the TREASURE project global aim of enhancing sustainability of production systems for localpig breeds, the objective of our task was to conduct a pilot characterisation of intestinal microbiota in order to testits usefulness to characterize several local European pig populations and their production systems. This approachhas been applied to populations belonging to the following European traditional breeds: Gascon (France), Iberian(Spain), Krskopolje (Slovenia), Mangalitsa (Serbia), Moravka (Serbia) and Turopolje (Croatia). For each breed,faecal samples have been collected along different experiments performed in the TREASURE project targetingthe comprehension of a particular traditional production system (e.g. open-air farming), management practice,or the comparison of breeds. In all experiments, the metagenomics technique employed is the re-sequencing ofthe bacterial 16S in an Illumina MiSeq system. Overall, the results have shown that the gut microbiota analysis isa promising approach for the characterisation of these local breeds, by allowing a deeper understanding of theirproduction systems and potentially allowing the development of new certification approaches. Preliminary resultswill be summarized in this communication. Funded by European Union's H2020 RIA program (Grant agreementno. 634476).

The study of gut microbiota and its effects on hosts has emerged as an essential component of host homeostasisand global efficiency. Besides host's influence on gut microbiota, major quantitative and qualitative changes mayoccur in the composition of the intestinal microbiota due to the influence of diet and other environmental factors.In accordance with the TREASURE project global aim of enhancing sustainability of production systems for localpig breeds, the objective of our task was to conduct a pilot characterisation of intestinal microbiota in order to testits usefulness to characterize several local European pig populations and their production systems. This approachhas been applied to populations belonging to the following European traditional breeds: Gascon (France), Iberian(Spain), Krskopolje (Slovenia), Mangalitsa (Serbia), Moravka (Serbia) and Turopolje (Croatia). For each breed,faecal samples have been collected along different experiments performed in the TREASURE project targetingthe comprehension of a particular traditional production system (e.g. open-air farming), management practice,or the comparison of breeds. In all experiments, the metagenomics technique employed is the re-sequencing ofthe bacterial 16S in an Illumina MiSeq system. Overall, the results have shown that the gut microbiota analysis isa promising approach for the characterisation of these local breeds, by allowing a deeper understanding of theirproduction systems and potentially allowing the development of new certification approaches. Preliminary resultswill be summarized in this communication. Funded by European Union's H2020 RIA program (Grant agreementno. 634476).

The study of gut microbiota and its effects on hosts has emerged as an essential component of host homeostasisand global efficiency. Besides host's influence on gut microbiota, major quantitative and qualitative changes mayoccur in the composition of the intestinal microbiota due to the influence of diet and other environmental factors.In accordance with the TREASURE project global aim of enhancing sustainability of production systems for localpig breeds, the objective of our task was to conduct a pilot characterisation of intestinal microbiota in order to testits usefulness to characterize several local European pig populations and their production systems. This approachhas been applied to populations belonging to the following European traditional breeds: Gascon (France), Iberian(Spain), Krskopolje (Slovenia), Mangalitsa (Serbia), Moravka (Serbia) and Turopolje (Croatia). For each breed,faecal samples have been collected along different experiments performed in the TREASURE project targetingthe comprehension of a particular traditional production system (e.g. open-air farming), management practice,or the comparison of breeds. In all experiments, the metagenomics technique employed is the re-sequencing ofthe bacterial 16S in an Illumina MiSeq system. Overall, the results have shown that the gut microbiota analysis isa promising approach for the characterisation of these local breeds, by allowing a deeper understanding of theirproduction systems and potentially allowing the development of new certification approaches. Preliminary resultswill be summarized in this communication. Funded by European Union's H2020 RIA program (Grant agreementno. 634476).

The study of gut microbiota and its effects on hosts has emerged as an essential component of host homeostasis and global efficiency. Besides host's influence on gut microbiota, major quantitative and qualitative changes may occur in the composition of the intestinal microbiota due to the influence of diet and other environmental factors. In accordance with the TREASURE project global aim of enhancing sustainability of production systems for local pig breeds, the objective of our task was to conduct a pilot characterisation of intestinal microbiota in order to test its usefulness to characterize several local European pig populations and their production systems. This approach has been applied to populations belonging to the following European traditional breeds: Gascon (France), Iberian (Spain), Krskopolje (Slovenia), Mangalitsa (Serbia), Moravka (Serbia) and Turopolje (Croatia). For each breed, faecal samples have been collected along different experiments performed in the TREASURE project targeting the comprehension of a particular traditional production system (e.g. open-air farming), management practice, or the comparison of breeds. In all experiments, the metagenomics technique employed is the re-sequencing of the bacterial 16S in an Illumina MiSeq system. Overall, the results have shown that the gut microbiota analysis is a promising approach for the characterisation of these local breeds, by allowing a deeper understanding of their production systems and potentially allowing the development of new certification approaches. Preliminary results will be summarized in this communication. Funded by European Union's H2020 RIA program (Grant agreement no. 634476).

International audience ; The objective of the present study is to evaluate the potential use of FT-NIRS for predicting intramuscular fat (IMF) and fatty acid groups (MUFA; PUFA; PUFA n-3, PUFA n-6; SFA) on pig grounded muscles. The research considered 160 fresh samples of Longissimus collected from 12 European local pig breeds (TREASURE project). For every sample, lipids were extracted from IMF and fatty acid profile was determinate by gas chromatography. Two aliquots of each sample were scanned using FT-NIRS Antaris II model. Mathematical pre-treatments (multiplicative scatter correction, 1st and 2nd derivate) were applied and outliers' spectra were identified and removed when necessary. Partial least square regression was used on the average spectrum and the models validated using an external data set. Results are evaluated in terms of coefficient of regression and root mean square errors in calibration (R2-RMSE) and validation (Rp2-RMSEP). As expected, the best results were obtained for IMF with R2 higher than 0.99 and RMSE lower than 0.2. Unsaturated fatty acids, probably due to the absorption of the cis double bond in a specific region of near infrared spectra, obtain acceptable R2 (0.89 for MUFA and 0.75 for PUFA n-3 and PUFA n-6). SFA achieved a R2 of 0.81 that is lower than values reported in other studies probably because of the large variability of genotypes used. The validation models achieved both lower coefficients of determination and higher RMSEP than the calibration models; however, R2 differences between calibration and validation were smaller than 5%, except for SFA. Hence, the FT-NIRS seems promising to estimate the principal parameters of fatty acid groups on muscle samples from different European autochthonous pig breeds. Inclusion of other samples can improve the accuracy and the robustness of the models, especially considering the high variability of the samples. Funded by European Union's H2020 program (grant agreement no. 634476).

The objective of the present study is to evaluate the potential use of FT-NIRS for predicting intramuscular fat (IMF) and fatty acid groups (MUFA; PUFA; PUFA n-3, PUFA n-6; SFA) on pig grounded muscles. The research considered 160 fresh samples of Longissimus collected from 12 European local pig breeds (TREASURE project). For every sample, lipids were extracted from IMF and fatty acid profile was determinate by gas chromatography. Two aliquots of each sample were scanned using FT-NIRS Antaris II model. Mathematical pre-treatments (multiplicative scatter correction, 1st and 2nd derivate) were applied and outliers' spectra were identified and removed when necessary. Partial least square regression was used on the average spectrum and the models validated using an external data set. Results are evaluated in terms of coefficient of regression and root mean square errors in calibration (R2-RMSE) and validation (Rp2-RMSEP). As expected, the best results were obtained for IMF with R2 higher than 0.99 and RMSE lower than 0.2. Unsaturated fatty acids, probably due to the absorption of the cis double bond in a specific region of near infrared spectra, obtain acceptable R2 (0.89 for MUFA and 0.75 for PUFA n-3 and PUFA n-6). SFA achieved a R2 of 0.81 that is lower than values reported in other studies probably because of the large variability of genotypes used. The validation models achieved both lower coefficients of determination and higher RMSEP than the calibration models; however, R2 differences between calibration and validation were smaller than 5%, except for SFA. Hence, the FT-NIRS seems promising to estimate the principal parameters of fatty acid groups on muscle samples from different European autochthonous pig breeds. Inclusion of other samples can improve the accuracy and the robustness of the models, especially considering the high variability of the samples. Funded by European Union's H2020 program (grant agreement no. 634476).