Publications by authors named "Jagan Mohanarao Gali"

Article Synopsis
  • - The study investigates how altering the fnr gene, which regulates anaerobic conditions, impacts the pathogenic features of Salmonella Typhimurium (STM).
  • - Mutants with a recoded fnr gene showed decreased competition with wild strains under nutrient-poor conditions, reduced motility, less biofilm formation, and decreased survival within macrophages.
  • - The recoded fnr strains also demonstrated significantly lower colonization in mice and reduced fecal shedding, indicating that changes in this regulatory gene can weaken the pathogenicity of STM.
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Porcine reproductive and respiratory syndrome (PRRS) is a serious swine disease causing great economic impact worldwide. The emergence of highly pathogenic strains in Asian countries is associated with large scale mortality in all age groups of pigs besides the classical presentation of severe respiratory distress, pneumonia, and a series of reproductive disorders in sows, like late-term abortion, premature farrowing, and an increased number of stillborn piglets. The present study was designed with the aim of isolation and characterization of the from outbreaks in Mizoram in primary porcine alveolar macrophage and subsequently characterized the GP5 gene sequence of the isolate in terms of phylogenetic analysis and deduce amino acid sequence comparison.

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Aim: The aim of this study was to understand the role of anaerobic regulator FNR (Fumarate Nitrate Reduction) in Salmonella Typhimurium through proteomic approach.

Methods And Results: We did label free quantitative proteomic analysis of Salmonella Typhimurium PM45 wild type and the fnr null mutant cultured under anaerobic conditions. The data revealed 153 significantly differentially expressed proteins (DEPs) in the mutant out of 1798 total proteins identified.

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In this study, the efficiency of one commercial (ProteoMiner™ -PM) and five simple and cost-effective laboratory chemicals (Acetone, TCA/acetone, DTT, ACN and DTT-ACN) based serum protein pre-fractionation strategies was compared in pig model by label-free quantitation based mass spectrometric approach to find out the most suitable strategy for reducing the complexity of serum proteome for subsequent proteomic studies. The highest serum protein depletion percentage and highest depletion of albumin, the most abundant serum protein, was observed in DTT-ACN method. The maximum number of serum proteins was identified in ACN followed by DTT-ACN method and importantly, detection of more number of low-abundant proteins (LAPs) could also be achieved by these two methods.

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In this study, the comparative serum proteome profile of Day 5, 12 and 16 of gestation, representing three early embryonic events, namely formation, elongation and implantation of blastocysts, and non-pregnant control were explored by a label-free quantitation-based mass spectrometric approach to identify early pregnancy biomarkers in pigs. A total of 131 proteins were identified with respect to different groups, out of which 105 were found to be differentially expressed proteins (DEPs). Among the DEPs, 54 and 66 proteins were found to be up and downregulated respectively in early pregnancy groups (fold change >2) and the maximum number of upregulated proteins was observed in the Day 12 pregnancy stage.

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To incorporate immune competence traits in swine breeding programs, association between immune responsiveness and susceptibility to specific infectious diseases must be established. In order to understand the differences in immune competence between indigenous (Zovawk) and exotic (Large White Yorkshire: LWY) pigs reared in India, we carried out a time course expression analysis of immune-regulating key cytokine genes (interleukin (IL)-2, interferon (IFN)-γ, IL-4 and IL-10) in the phytohemagglutinin-P stimulated peripheral blood mononuclear cells (PBMCs). The IL-2 transcript levels in PBMCs increased several thousand-fold when compared to unstimulated cells in both the breeds, albeit the response in that of Zovawk was remarkably higher.

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