QTL mapping for growth traits of pigs using random regression models

O objetivo deste trabalho foi avaliar eficiência de modelos de regressão aleatória (MRA) para detectar locus de características quantitativas (QTL) para características de crescimento, em suínos. Utilizou-se uma população divergente F2 Piau x Comercial. A eficiência da metodologia proposta na detecção de QTL foi comparada à da metodologia tradicional de regressão por intervalo de mapeamento. Para tanto, utilizaram-se MRA com efeitos aleatórios poligênicos, de ambiente permanente e de QTL, tendo-se utilizado o enfoque de matriz de covariância “identical‑by‑descent” associada aos efeitos de QTL. Testou-se a significância dos efeitos de QTL mediante a razão de verossimilhanças, tendo-se considerado o modelo como completo quando houve efeito de QTL, ou nulo, quando não. A comparação entre os modelos foi feita nas posições dos marcadores (seis marcadores microssatélites) e nas intermediárias, entre os marcadores. O MRA detectou QTL significativo na posição 65 cM do cromossomo 7 e, portanto, foi mais eficiente que a metodologia tradicional, que não detectou QTL significativo em nenhum dos fenótipos avaliados. A metodologia proposta possibilitou a detecção de QTL com efeito sobre toda a trajetória de crescimento, dentro da amplitude de idade considerada (do nascimento aos 150 dias).  The objective of this work was to evaluate the efficiency of random regression models (RRM) to detect quantitative trait loci (QTL) for growth traits in pigs. An outbreed F2 Piau x Commercial population was used. The efficiency of the proposed methodology for QTL detection was compared to the traditional methodology of regression interval mapping. In order to do that, RRM with random polygenic effects of permanent environment and of QTL were used with the approach of the covariance matrix identical‑by‑descent, associated to the QTL effects. The significance of QTL effects was tested by the likelihood ratio, considering the described model as being complete when there was significant QTL effect, and null, when there was not. Comparison between models was made at the positions of the markers (six microsatellite markers) and at the intermediate positions between them. The RRM allowed the detection of a significant QTL at the position 65 cM of chromosome 7 and, therefore, it was considered more efficient than traditional method, which did not identify any significant QTL in any of the evaluated phenotypes. The proposed methodology enabled the detection of QTL affecting all growth trajectory within the considered age range (from birth to 150 days)

Nutritional Composition and Environmental Impact of Meals Selected in Workplace Canteens before and after an Intervention Promoting the Adherence to the Mediterranean Diet

Enhancing healthy and sustainable food systems is one of the key goals of the current European Commission policy. In this light, the creation of a food environment where people are properly informed about the healthiness and sustainability of food choices is essential. This study aimed to evaluate the nutritional profile and the environmental impact of meals consumed in a workplace canteen in Italy in the presence of a nudge (i.e., the Double Pyramid logo) combined with a web-based application promoting the Mediterranean Diet. Energy and nutrient contents and the carbon, water, and ecological footprints of 29,776 meals were compared across three subsequent periods (from June to April) through one-way ANOVA. Although the choice of dishes labelled with the Double Pyramid logo was comparable across periods, the selection of fish- and plant-based dishes increased from +2% (fish, vegetables) up to +17% (whole-grain cereals), with a concurrent reduction of meat-based options (−2%). Although the consumption of healthy items increased (p < 0.001), they were not added as a replacement for alternative options, leading to a higher content in energy (p < 0.001) and nutrients (p < 0.001) and worse environmental footprints, contrarily to what was observed when data were adjusted for energy. The intervention significantly improved food choices; however, as the higher selection of desired dishes was not adequately compensated for, it was not fully effective

Effect of the Pasta Making Process on Slowly Digestible Starch Content

The rate at which starch is digested in the human intestine elicits different glycemic responses and reflects the glycemic index (GI) of foods. In vitro measurement of starch digestibility can reflect the GI of food. Differences in starch digestibility among four durum wheat pasta samples, couscous, and bread were evaluated to better describe the role of the pasta making process in affecting starch digestibility. Statistical differences in RDS (rapidly digestible starch), SDS (slowly digestible starch), and RS (resistant starch) of products were found (p < 0.05). As expected, pasta samples showed the highest value of SDS/av starch compared to couscous and bread. Fusilli and cavatelli samples presented the highest SDS/av starch ratio (55.80 +/- 3.06% and 53.91 +/- 3.50%, respectively), then came spaghetti 49.39 +/- 2.83% and penne 45.93 +/- 1.19%, while couscous presented the lowest value of SDS/av starch (2.64 +/- 0.50%), followed by bread (11.78 +/- 2.63%). Our study confirmed that the pasta making process efficiently mediates an increase in SDS/Av starch content, which has been specifically quantified above 40%, therefore strongly related to a lowered glycemic response in vivo. Our results strengthened the concept that pasta is a good source of SDS, which makes it useful for glycemic control

Mapeamento de QTL para características de crescimento de suínos por meio de modelos de regressão aleatória

O objetivo deste trabalho foi avaliar eficiência de modelos de regressão aleatória (MRA) para detectar locus de características quantitativas (QTL) para características de crescimento, em suínos. Utilizou-se uma população divergente F2 Piau x Comercial. A eficiência da metodologia proposta na detecção de QTL foi comparada à da metodologia tradicional de regressão por intervalo de mapeamento. Para tanto, utilizaram-se MRA com efeitos aleatórios poligênicos, de ambiente permanente e de QTL, tendo-se utilizado o enfoque de matriz de covariância "identical‑by‑descent" associada aos efeitos de QTL. Testou-se a significância dos efeitos de QTL mediante a razão de verossimilhanças, tendo-se considerado o modelo como completo quando houve efeito de QTL, ou nulo, quando não. A comparação entre os modelos foi feita nas posições dos marcadores (seis marcadores microssatélites) e nas intermediárias, entre os marcadores. O MRA detectou QTL significativo na posição 65 cM do cromossomo 7 e, portanto, foi mais eficiente que a metodologia tradicional, que não detectou QTL significativo em nenhum dos fenótipos avaliados. A metodologia proposta possibilitou a detecção de QTL com efeito sobre toda a trajetória de crescimento, dentro da amplitude de idade considerada (do nascimento aos 150 dias).The objective of this work was to evaluate the efficiency of random regression models (RRM) to detect quantitative trait loci (QTL) for growth traits in pigs. An outbreed F2 Piau x Commercial population was used. The efficiency of the proposed methodology for QTL detection was compared to the traditional methodology of regression interval mapping. In order to do that, RRM with random polygenic effects of permanent environment and of QTL were used with the approach of the covariance matrix identical‑by‑descent, associated to the QTL effects. The significance of QTL effects was tested by the likelihood ratio, considering the described model as being complete when there was significant QTL effect, and null, when there was not. Comparison between models was made at the positions of the markers (six microsatellite markers) and at the intermediate positions between them. The RRM allowed the detection of a significant QTL at the position 65 cM of chromosome 7 and, therefore, it was considered more efficient than traditional method, which did not identify any significant QTL in any of the evaluated phenotypes. The proposed methodology enabled the detection of QTL affecting all growth trajectory within the considered age range (from birth to 150 days)