Identification of genomic regions associated with feed efficiency in Nelore cattle

Abstract\ud \ud Background\ud Feed efficiency is jointly determined by productivity and feed requirements, both of which are economically relevant traits in beef cattle production systems. The objective of this study was to identify genes/QTLs associated with components of feed efficiency in Nelore cattle using Illumina BovineHD BeadChip (770 k SNP) genotypes from 593 Nelore steers. The traits analyzed included: average daily gain (ADG), dry matter intake (DMI), feed-conversion ratio (FCR), feed efficiency (FE), residual feed intake (RFI), maintenance efficiency (ME), efficiency of gain (EG), partial efficiency of growth (PEG) and relative growth rate (RGR). The Bayes B analysis was completed with Gensel software parameterized to fit fewer markers than animals. Genomic windows containing all the SNP loci in each 1 Mb that accounted for more than 1.0% of genetic variance were considered as QTL region. Candidate genes within windows that explained more than 1% of genetic variance were selected by putative function based on DAVID and Gene Ontology.\ud \ud \ud Results\ud Thirty-six QTL (1-Mb SNP window) were identified on chromosomes 1, 2, 3, 5, 6, 7, 8, 9, 10, 12, 14, 15, 16, 18, 19, 20, 21, 22, 24, 25 and 26 (UMD 3.1). The amount of genetic variance explained by individual QTL windows for feed efficiency traits ranged from 0.5% to 9.07%. Some of these QTL minimally overlapped with previously reported feed efficiency QTL for Bos taurus. The QTL regions described in this study harbor genes with biological functions related to metabolic processes, lipid and protein metabolism, generation of energy and growth. Among the positional candidate genes selected for feed efficiency are: HRH4, ALDH7A1, APOA2, LIN7C, CXADR, ADAM12 and MAP7.\ud \ud \ud \ud Conclusions\ud Some genomic regions and some positional candidate genes reported in this study have not been previously reported for feed efficiency traits in Bos indicus. Comparison with published results indicates that different QTLs and genes may be involved in the control of feed efficiency traits in this Nelore cattle population, as compared to Bos taurus cattle.CNPqCAPE

Does the sympathetic nervous system contribute to the pathophysiology of metabolic syndrome?

The metabolic syndrome (MS), formally known as syndrome X, is a clustering of several riskfactors such as obesity, hypertension, insulin resistance and dislypidemia which could lead to thedevelopment of diabetes and cardiovascular diseases (CVD). The frequent changes in the definitionand diagnostic criteria of MS are indications of the controversy and the challenges surrounding theunderstanding of this syndrome among researchers. Obesity and insulin resistance are leading riskfactors of MS. Moreover, obesity and hypertension are closely associated to the increase andaggravation of oxidative stress. The recommended treatment of MS frequently involves change oflifestyles to prevent weight gain. MS is not only an important screening tool for the identification ofindividuals at high risk of CVD and diabetes but also an indicator of suitable treatment. Assympathetic disturbances and oxidative stress are often associated with obesity and hypertension,the present review summarizes the role of sympathetic nervous system and oxidative stress in theMS