30 research outputs found

    Liver transcriptomic networks reveal main biological processes associated with feed efficiency in beef cattle

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    Abstract\ud \ud Background\ud The selection of beef cattle for feed efficiency (FE) traits is very important not only for productive and economic efficiency but also for reduced environmental impact of livestock. Considering that FE is multifactorial and expensive to measure, the aim of this study was to identify biological functions and regulatory genes associated with this phenotype.\ud \ud \ud Results\ud Eight genes were differentially expressed between high and low feed efficient animals (HFE and LFE, respectively). Co-expression analyses identified 34 gene modules of which 4 were strongly associated with FE traits. They were mainly enriched for inflammatory response or inflammation-related terms. We also identified 463 differentially co-expressed genes which were functionally enriched for immune response and lipid metabolism. A total of 8 key regulators of gene expression profiles affecting FE were found. The LFE animals had higher feed intake and increased subcutaneous and visceral fat deposition. In addition, LFE animals showed higher levels of serum cholesterol and liver injury biomarker GGT. Histopathology of the liver showed higher percentage of periportal inflammation with mononuclear infiltrate.\ud \ud \ud Conclusion\ud Liver transcriptomic network analysis coupled with other results demonstrated that LFE animals present altered lipid metabolism and increased hepatic periportal lesions associated with an inflammatory response composed mainly by mononuclear cells. We are now focusing to identify the causes of increased liver lesions in LFE animals.The authors thank Fundação de Apoio a Pesquisa do Estado de São Paulo\ud (FAPESP) for financial support (process. numbers: 2014/02493-7; 2014/07566-\ud 2) and scholarship for PA Alexandre (2012/14792-3; 2014/00307-1). HN\ud Kadarmideen thanks EU-FP7 Marie Curie Actions – Career Integration Grant\ud (CIG-293511) for partially funding his time spent on this research. The authors\ud thank Dr. JF Medrano for the technical advice on RNAseq and experimental\ud design

    Differential gene expression associated with soybean oil level in the diet of pigs.

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    The aim of this study was to identify the differentially expressed genes (DEG) from the skeletal muscle and liver samples of animal models for metabolic diseases in humans. To perform the study, the fatty acid (FA) profile and RNA sequencing (RNA-Seq) data of 35 samples of liver tissue (SOY1.5, n = 17 and SOY3.0, n = 18) and 36 samples of skeletal muscle (SOY1.5, n = 18 and SOY3.0, n = 18) of Large White pigs were analyzed. The FA profile of the tissues was modified by the diet, mainly those related to monounsaturated (MUFA) and polyunsaturated (PUFA) FA. The skeletal muscle transcriptome analysis revealed 45 DEG (FDR 10%), and the functional enrichment analysis identified network maps related to inflammation, immune processes, and pathways associated with oxidative stress, type 2 diabetes, and metabolic dysfunction. For the liver tissue, the transcriptome profile analysis revealed 281 DEG, which participate in network maps related to neurodegenerative diseases. With this nutrigenomics study, we verified that different levels of soybean oil in the pig diet, an animal model for metabolic diseases in humans, affected the transcriptome profile of skeletal muscle and liver tissue. These findings may help to better understand the biological mechanisms that can be modulated by the diet

    A Cross-Lingual Joint Aspect/Sentiment Model for Sentiment Analysis

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    Molecular characterization of constitutive androstane receptor (CAR) and its association with feed efficiency of Nellore (Bos indicus) cattle.

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    The constitutive androstane receptor (CAR) was initially characterized as a key regulator of xenobiotic metabolism. CAR has also been implicated in various physiological pathways such as energy metabolism and homeostasis of lipids, triglycerides, cholesterol and other endogenous hydrophobic molecules. Here, our focus was to detect genetic polymorphisms (SNP) of CAR of Nellore beef cattle, predict their functional role and associate them to residual feed intake (RFI) and residual body weight gain (RIG), a recently proposed measure of feed efficiency.Edição dos trabalhos do: ADSA-PSA-AMPA-ASAS-CSAS-WSASAS JOINT ANNUAL MEETING, 2012, Phoenix-AR. Breeding and Genetics: Molecular Biology and Genomics. W68
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