Nutrigenomics and Beef Quality: A Review about Lipogenesis

The objective of the present review is to discuss the results of published studies that show how nutrition affects the expression of genes involved in lipid metabolism and how diet manipulation might change marbling and composition of fat in beef. Several key points in the synthesis of fat in cattle take place at the molecular level, and the association of nutritional factors with the modulation of this metabolism is one of the recent targets of nutrigenomic research. Within this context, special attention has been paid to the study of nuclear receptors associated with fatty acid metabolism. Among the transcription factors involved in lipid metabolism, the peroxisome proliferator-activated receptors (PPARs) and sterol regulatory element-binding proteins (SREBPs) stand out. The mRNA synthesis of these transcription factors is regulated by nutrients, and their metabolic action might be potentiated by diet components and change lipogenesis in muscle. Among the options for dietary manipulation with the objective to modulate lipogenesis, the use of different sources of polyunsaturated fatty acids, starch concentrations, forage ratios and vitamins stand out. Therefore, special care must be exercised in feedlot feed management, mainly when the goal is to produce high marbling beef

Achieving body weight adjustments for feeding status and pregnant or non-pregnant condition in beef cows

Beef cows herd accounts for 70% of the total energy used in the beef production system. However, there are still limited studies regarding improvement of production efficiency in this category, mainly in developing countries and in tropical areas. One of the limiting factors is the difficulty to obtain reliable estimates of weight variation in mature cows. This occurs due to the interaction of weight of maternal tissues with specific physiological stages such as pregnancy. Moreover, variation in gastrointestinal contents due to feeding status in ruminant animals is a major source of error in body weight measurements. Develop approaches to estimate the individual proportion of weight from maternal tissues and from gestation in pregnant cows, adjusting for feeding status and stage of gestation. Dataset of 49 multiparous non-lactating Nellore cows (32 pregnant and 17 non-pregnant) were used. To establish the relationships between the body weight, depending on the feeding status of pregnant and non-pregnant cows as a function of days of pregnancy, a set of general equations was tested, based on theoretical suppositions. We proposed the concept of pregnant compound (PREG), which represents the weight that is genuinely related to pregnancy. The PREG includes the gravid uterus minus the non-pregnant uterus plus the accretion in udder related to pregnancy. There was no accretion in udder weight up to 238 days of pregnancy. By subtracting the PREG from live weight of a pregnant cow, we obtained estimates of the weight of only maternal tissues in pregnant cows. Non-linear functions were adjusted to estimate the relationship between fasted, non-fasted and empty body weight, for pregnant and non-pregnant cows. Our results allow for estimating the actual live weight of pregnant cows and their body constituents, and subsequent comparison as a function of days of gestation and feeding status

Achieving Body Weight Adjustments for Feeding Status and Pregnant or Non-Pregnant Condition in Beef Cows

<div><p>Background</p><p>Beef cows herd accounts for 70% of the total energy used in the beef production system. However, there are still limited studies regarding improvement of production efficiency in this category, mainly in developing countries and in tropical areas. One of the limiting factors is the difficulty to obtain reliable estimates of weight variation in mature cows. This occurs due to the interaction of weight of maternal tissues with specific physiological stages such as pregnancy. Moreover, variation in gastrointestinal contents due to feeding status in ruminant animals is a major source of error in body weight measurements.</p><p>Objectives</p><p>Develop approaches to estimate the individual proportion of weight from maternal tissues and from gestation in pregnant cows, adjusting for feeding status and stage of gestation.</p><p>Methods and Findings</p><p>Dataset of 49 multiparous non-lactating Nellore cows (32 pregnant and 17 non-pregnant) were used. To establish the relationships between the body weight, depending on the feeding status of pregnant and non-pregnant cows as a function of days of pregnancy, a set of general equations was tested, based on theoretical suppositions. We proposed the concept of pregnant compound (PREG), which represents the weight that is genuinely related to pregnancy. The PREG includes the gravid uterus minus the non-pregnant uterus plus the accretion in udder related to pregnancy. There was no accretion in udder weight up to 238 days of pregnancy. By subtracting the PREG from live weight of a pregnant cow, we obtained estimates of the weight of only maternal tissues in pregnant cows. Non-linear functions were adjusted to estimate the relationship between fasted, non-fasted and empty body weight, for pregnant and non-pregnant cows.</p><p>Conclusions</p><p>Our results allow for estimating the actual live weight of pregnant cows and their body constituents, and subsequent comparison as a function of days of gestation and feeding status.</p></div

Summary of cross-validation statistics from the predictive models generated.

<p>¹SBW = shrunk body weight, GU = gravid uterus, UT_np = uterus of the cow in non-pregnant condition, UD_np = udder of the cow in non-pregnant condition, EBW = empty body weight.</p><p>²SD = standard error, RMSE = root mean square of error, MAE = mean of absolute error, and R = correlation between the estimated and observed values.</p><p>Summary of cross-validation statistics from the predictive models generated.</p

Set of general theoretical assumptions used to establish cows BW adjustments.

<p>Set of general theoretical assumptions used to establish cows BW adjustments.</p

Ingredients and chemical composition of the diet.

<p>¹Zinc sulfate (56.3%), manganese sulfate (26.2%), copper sulfate (16.8%), potassium iodate (0.37%), cobalt sulfate (0.23%) and sodium selenite (0.10%).</p><p>²NDF_ap = neutral detergent fiber corrected to ash and protein, iNDF = indigestible neutral detergent fiber and NFC = non fibrous carbohydrates.</p><p>Ingredients and chemical composition of the diet.</p

Relationship among non-pregnant shrunk body weight and non-pregnant empty body weight in Nellore cows.

<p>The continuous line represents the estimation of non-pregnant empty body weight from non-pregnant shrunk body weight using <<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0112111#pone.0112111.e019" target="_blank">Equation 16</a>>.</p

Relationship between days of pregnancy and weight of fresh udder in Nellore cows.

<p>The continuous line represents the estimation of the weight of fresh udder for a cow with the average shrunk body weight and body condition score (494 kg and 5.6, respectively) of the cows used in this study.</p

Transcriptome profile in the skeletal muscle of cattle progeny as a function of maternal protein supplementation during mid-gestation

This study aimed to evaluate the differentially expressed genes (DEG), their biological functions, and the main predictor genes in skeletal muscle of the offspring resulting from dams supplemented or not with protein during mid-gestation. From 100 to 200 days of gestation, 10 Tabapuã cows pregnant of males were assigned to one of two treatments: Control [(CON) - supply of basal diet achieving 5.5% of crude protein (CP); n = 6]; or Supplemented [(SUP) - basal diet plus a supplement with 40% of CP provided at the level of 3.5 g/kg of body weight; n = 4]. Muscle samples were collected from the progeny at 260d of postnatal age to RNA-seq, Gene Ontology (GO) enrichment, and Random Forest (RF) analyses. A total of 310 DEG (q-value < 0.05) were identified for the effect of diet, being 187 and 123 genes down-regulated and up-regulated in the SUP diet, respectively. Within the SUP up-regulated genes, were genes related to insulin receptor signaling pathway (LOC107131843) and apoptosis regulation (KRT18, KRT8 and KRT19). While the enriched GOs terms are implicated in mitochondrial metabolism through the overrepresentation of the GO terms microtubule polymerization or depolymerization (GO:0031109, GO:0046785) and positive regulation of cellular component biogenesis (GO:0044089). Moreover, RF analysis revealed predictor genes related to the skeletal muscle development, including genes that participates in the PI3K/Akt pathways (PITPNA), myoblast proliferation (ALKBH1) and differentiation (CDK5R1 and miR-206). In conclusion, maternal protein supplementation during mid-gestation positively affected the energy metabolism and favored the hypertrophic processes of the skeletal muscle of the offspring.Incluye referencias bibliográficas