The objective of the present study was to investigate the epidemiological and haematological parameters with simultaneous molecular detection of Theileria orientalis infection of crossbred jersey (CBJ) cattle. Haematological values like mean hemoglobin (Hb) (7.31 ± 2.3 g/dl), packed cell volume (PCV) (21.69 ± 6.11%), red blood cells count (RBCs) (4.40 ± 1.6 M/μl), white blood cells count (WBCs) (6.93 ± 3.06 103/µl) and mean corpuscular hemoglobin concentration (MCHC) (33.56 ± 3.51 g/dl) were decreased significantly (p < 0.05), whereas mean corpuscular volume (MCV) (51.06 ± 6.14fl) and eosinophil count (0.39 ± 0.44 103/µl) were significantly (p < 0.05) increased in cattle infected with T. orientalis. Analysis of major piroplasm surface protein (MPSP) of 110 blood samples randomly collected from cattle from seven districts by PCR indicated that an average of 70% of cattle was positive for T. orientalis infection. In particular, Puri and Khorda districts were identified as relatively high-risk areas for T. orientalis infection, with infection rates of 76.66% and 72.4%, respectively. The phylogenetic analysis of isolated T. orientalis MPSP gene (MN334767) classified it into type 5. Earlier Indian isolates were classified into three types viz.type 1, type 3 and type 7 and this is the first time to detect type 5 in Odisha, India.

The present study in the 5' upstream region of TLR4 gene revealed four Single Nucleotide Polymorphisms (SNPs) in Vrindavani and Tharparkar cattle. The polymorphic information content (PIC), heterozygosity and allelic diversity values were low to moderate for these SNPs. In Vrindavani cattle, one SNP was found to be in Hardy-Weinberg Equilibrium (HWE) and the remaining three were found to be in linkage disequilibrium (LD) as indicated statistically (P > 0.05). In Tharparkar cattle, two SNPs were found to be in HWE and were not in LD as indicated statistically (P > 0.05). These SNPs were used for construction of haplotypes. In-silico analysis of these SNPs predicted abolition of eight transcription factor binding sites and creation of eight new sites. The quantitative real time PCR analysis did not show any significant variation of gene expression among haplotypes. However, gene expression between breed was found to be significant (P < 0.05) which suggested that upstream region of bovine TLR4 gene has a crucial role in its expression. These findings in TLR4 gene offer essential evidence that can be useful in future research exploring its role in immunity. TLR4 can be used as a marker for selection for disease resistance in bovines.

The climate change-associated abnormal weather patterns negatively influences the productivity and performance of farm animals. Heat stress is the major detrimental factor hampering production, causing substantial economic loss to the livestock industry. Therefore, it is important to identify heat-tolerant breeds that can survive and produce optimally in any given environment. To achieve this goal, a clearer understanding of the genetic differences and the underlying molecular mechanisms associated with climate change impacts and heat tolerance are a prerequisite. Adopting next-generation biotechnological and statistical tools like whole transcriptome analysis, whole metagenome sequencing, bisulphite sequencing, genome-wide association studies (GWAS), and selection signatures provides an opportunity to achieve this goal. Through these techniques, it is possible to identify permanent genetic markers for heat tolerance, and by incorporating those markers in marker-assisted breeding selection, it is possible to achieve the target of breeding for heat tolerance in livestock. This review gives an overview of the recent advancements in assessing heat tolerance in livestock using such ‘omics’ approaches and statistical models. The salient findings from this research highlighted several candidate biomarkers that have the potential to be incorporated into future heat-tolerance studies. Such approaches could revolutionise livestock production in the changing climate scenario and support the food demands of the growing human population.

The foremost reaction of animals under thermal stress is increase in respiration rate, rectal temperature and heart rate which directly affects feed intake thereby, reduces growth rate, milk yield, reproductive performance, and even death in extreme cases. In the present study polymorphism in SOD3 gene was identified and their relation with physiological vital parameters like rectal temperature, skin temperature, heart rate, pulse rate and respiration rate alongwith biochemical parameters like serum levels of albumin, bilirubin, total proteins, creatinine, urea, total cholesterol, high density lipoprotein (HDL) cholesterol, triglycerides, asparate aminotransferase (AST) and ALT was estimated during heat stress. Temperature-humidity index (THI) was calculated for different regions and statistical analysis was performed to find out any association of THI with physiological vital parameters and biochemical parameters. The higher value of physiological vital parameters indicated that heat stress may be the most probable cause for such significant difference. The haplotypes were identified after PCR amplification and sequencing of the SOD3 gene. The CGC and CAA haplotypes showed lower values of physiological vital parameters making these haplotypes to be more heat tolerant than others. The study of biochemical parameters revealed the similar results establishing superior heat tolerance capacity in CGC and CAA haplotypes.