Integrating genome-wide association study and pathway analysis reveals physiological aspects affecting heifer early calving defined at different ages in Nelore cattle.

Heifer early calving (HC) plays a key role in beef cattle herds' economic sustainability and profitability by reducing production costs and generation intervals. However, the genetic basis of HC in Nelore heifers at different ages remains to be well understood. In this study, we aimed to perform a multi-trait weighted single-step genome-wide association (MT w-ssGWAS) to uncover the genetic mechanism involved in HC at 24 (HC24), 26 (HC26), 28 (HC28), and 30 (HC30) months of age in Nelore heifers. The MT w-ssGWAS pointed out four shared windows regions for HC24, HC26, HC28, and HC30 on BTA 5, 6, 14, and 16, explaining a larger proportion of genetic variation from 9.2% for HC30 to 10.6% for HC28. The shared regions harbored candidate genes related with the major gatekeeper for early puberty onset by controlling metabolic aspects related to homeostasis, reproductive, and growth (IGF1, PARPBP, PMCH, GNRHR, LYN, TMEM68, PLAG1, CHCHD7, KISS1, GOLT1A, and PPP1R15B). The MT w-ssGWAS and pathway analysis highlighted differences in physiological processes that support complex interactions between the gonadotropic axes, growth aspects, and sexual precocity in Nelore heifers, providing useful information for genetic improvement and management strategies.

Strategy to Predict High and Low Frequency Behaviors Using Triaxial Accelerometers in Grazing of Beef Cattle.

Knowledge of animal behavior can be indicative of the well-being, health, productivity, and reproduction of animals. The use of accelerometers to classify and predict animal behavior can be a tool for continuous animal monitoring. Therefore, the aim of this study was to provide strategies for predicting more and less frequent beef cattle grazing behaviors. The behavior activities observed were grazing, ruminating, idle, water consumption frequency (WCF), feeding (supplementation) and walking. Three Machine Learning algorithms: Random Forest (RF), Support Vector Machine (SVM) and Naïve Bayes Classifier (NBC) and two resample methods: under and over-sampling, were tested. Overall accuracy was higher for RF models trained with the over-sampled dataset. The greatest sensitivity (0.808) for the less frequent behavior (WCF) was observed in the RF algorithm trained with the under-sampled data. The SVM models only performed efficiently when classifying the most frequent behavior (idle). The greatest predictor in the NBC algorithm was for ruminating behavior, with the over-sampled training dataset. The results showed that the behaviors of the studied animals were classified with high accuracy and specificity when the RF algorithm trained with the resampling methods was used. Resampling training datasets is a strategy to be considered, especially when less frequent behaviors are of interest.

Contribution of astrocytes and macrophage migration inhibitory factor to immune-mediated canine encephalitis caused by the distemper virus.

Macrophage migration inhibitory factor (MIF) is a pleiotropic cytokine that is produced by many cell types in situations of homeostasis or disease. One of its functions is to act as a proinflammatory molecule. In humans, several studies have shown that MIF levels become elevated in the serum, urine, cerebrospinal fluid and tissues of patients with chronic inflammatory diseases (systemic lupus erythematosus, rheumatoid arthritis, multiple sclerosis, sepsis, atheromas, diabetes and cancer). In dogs, distemper is a viral infectious condition that may lead to demyelination and inflammation in the central nervous system (CNS). In addition to the action of the virus, the inflammatory process may give rise to lesions in the white matter. Therefore, the objectives of the present study were to evaluate the role of MIF in the encephalitis that the canine distemper virus causes and to compare this with immunodetection of major histocompatibility complex-II (MHC-II), CD3 T lymphocytes, MMP-9 and glial fibrillary acidic protein (GFAP; astrocytes) in demyelinated areas of the encephalon, in order to ascertain whether these findings might be related to the severity of the encephalic lesions. To this end, a retrospective study on archived paraffinized blocks was conducted, in which 21 encephala from dogs that had been naturally infected with the canine distemper virus (infected group) and five from dogs that had been free from systemic or CNS-affecting diseases (control group) were used. In the immunohistochemical analysis on the samples, the degree of marking by GFAP, MHC-II, MMP-9 and MIF was greater in the demyelinated areas and in the adjacent neuropil, and this was seen particularly in astrocytes. Detection of CD3 was limited to perivascular cuffs. In areas of liquefactive necrosis, Gitter cells were positive for MMP-9, MIF and MHC-II. Hence, it was concluded that activated astrocytes influenced the afflux of T lymphocytes to the encephalon (encephalitis). In the more advanced phases, activated phagocytes in the areas of liquefactive necrosis (Gitter cells) continued to produce inflammatory mediators even after the astrocytes in these localities had died, thereby worsening the encephalic lesions. Distemper virus-activated astrocytes and microglia produce MIF that results in proinflammatory stimulus on glial cells and brain-infiltrating leukocytes. Therefore, the effect of the inflammatory response is potentiated on the neuropil, resulting in neurological clinical signs.

Blood serum acute phase proteins and iron dynamics during acute phase response of Salmonella enterica serotype Dublin experimentally infected buffalo calves.

The study aimed to evaluate clinical signs, blood serum acute phase proteins (APP) and iron dynamics during the acute phase response (APR) of Salmonella Dublin experimentally infected Murrah buffalo calves. Six buffalo calves constituted the control group (CNT) and six were orally inoculate with 108 CFU of S. Dublin (INF). Clinical evaluation was performed, rectal swabs to detect S. Dublin strains were collected and venous blood was sampled before and throughout seven days after inoculation. The APP fractions ß-haptoglobin, α-haptoglobin, ceruloplasmin and transferrin were analyzed by 1-D and 2-D electrophoresis. Proteins were identified using LC/ESI-MS/MS and NCBI database. Plasma fibrinogen, serum iron and serum haptoglobin concentrations were measured. The inoculation of 108 CFU of S. Dublin was effective in inducing clinical signs of Salmonellosis, such as hyperthermia and diarrhea. 1-DE showed that ß and α-haptoglobin increased 204% (p = 0.008) and 184% (p = 0.022) 48 h after inoculation (HAI), respectively, with highest concentrations 120 HAI (498% increased, p = 0.012; 431% increased, p = 0.011) and 168 HAI (492% increased, p = 0.019; 523% increased, p = 0.028). 2-DE showed that the expression of two spots, identified as ß-haptoglobin, were increased 693% (p = 0.0006) and 580% (p = 0.0003) 168 HAI, respectively, while one spot, identified as α-haptoglobin, increased 714% (p = 0.040). Haptoglobin concentrations increased 1339% (p < 0.0001) 168 HAI. 1-DE showed that ceruloplasmin increased 42% (p = 0.034) 48 HAI, with highest concentration 120 HAI (133% increased, p = 0.022). 2-DE showed that the expression of two spots, identified as ceruloplasmin, were increased 218% (p = 0.0153) and 85% (p = 0.0143) 168 HAI, respectively. Fibrinogen increased 78% (p = 0.012) 96 HAI, with highest concentration 120 HAI (increased 114%, p = 0.002). Iron decreased 33% 24 HAI (p = 0.015) and 37% 72 HAI (p = 0.029), and began to be restored 96 HAI. 1-DE showed that transferrin decreased 23% 120 HAI (p = 0.047), and that values were restored 168 HAI. 2-DE showed that expression patterns of transferrin comparing 0 h and 168 HAI were similar, evidencing that values were restored 168 HAI. In conclusion, the inoculation of 108 CFU was effective in inducing hyperthermia and diahrrea. ß and α-haptoglobin, ceruloplasmin and fibrinogen worked as positive APP during the APR to S. Dublin infection and are potential biomarker candidates. Concentrations of iron and transferrin decreased during the infection, highlighting the fact that mechanisms for restricting iron availability are part of the APR triggered against S. Dublin infection in buffalo calves.

Blood gas and serum biochemical RIs for healthy newborn Murrah buffaloes (Bubalus bubalis).

BACKGROUND: There is a lack of published work on RIs for newborn buffaloes. Establishing blood gas and serum biochemical RIs for newborn buffaloes is important for monitoring health. OBJECTIVES: This study establishes blood gas and serum biochemical RIs of newborn buffaloes. METHODS: Twenty-eight newborn buffaloes, 10-30 days old, were selected. Thirty blood biochemical variables were analyzed. The Anderson-Darling test was used to assess the normality of the distribution. The Dixon test and the Tukey test were used to identify outliers. The RI and 90% CI were determined using standard and robust methods and the Box-Cox transformation. RESULTS: A total of 30 RIs for healthy buffalo calves have been reported in this study. RIs for blood gas variables were reported for pH, partial pressure of oxygen (pO2 ), partial pressure of carbon dioxide (pCO2 ), saturation of O2 (SO2 ), bicarbonate (cHCO3- ), base excess (BE), total carbon dioxide (ctCO2 ), and anion gap (AG). RIs for serum biochemical variables were reported for glucose (GLU), direct bilirubin (DB), total bilirubin (TB), AST, ALP, GGT, CK, LDH, creatinine (CREA), urea, cholesterol (CHOL), triglycerides (TG), Ca, P, Mg, Na, K, iCa, Cl, iron, total protein (TP), and albumin (ALB). CONCLUSIONS: This is the first reported study covering complete serum chemistry and blood gas RIs for healthy 1-month-old Murrah buffaloes.

Estimation of genetic parameters for longevity considering the cow's age at last calving.

The aim of this study was to estimate heritability and predict breeding values for longevity among cows in herds of Nellore breed, considering the trait cow's age at last calving (ALC), by means of survival analysis methodology. The records of 11,791 animals from 22 farms were used. The variable ALC has been used by a criterion that made it possible to include cows not only at their first calving but also at their ninth calving. The criterion used was the difference between the date of each cow's last calving and the date of the last calving on each farm. If this difference was greater than 36 months, the cow was considered to have failed and uncensored. If not, this cow was censored, thus indicating that future calving remained possible for this cow. The survival model used for the analyses was the proportional hazards model, and the base risk was given by a Weibull distribution. The heritability estimate obtained was equal to 0.25. It was found that the ALC variable had the capacity to respond to selection for the purpose of increasing the longevity of the cows in the herds.