Bovine milk is important for both veterinary medicine and human nutrition. Understanding the bovine milk proteome at different stages of lactation has therefore broad significance for integrative biology and clinical medicine as well. Indeed, different lactation stages have marked influence on the milk yield, milk constituents, and nourishment of the neonates. We performed a comparative proteome analysis of the bovine milk obtained at different stages of lactation from the Indian indigenous cattle Malnad Gidda (Bos indicus), a widely available breed. The milk differential proteome during the lactation stages in B. indicus has not been investigated to date. Using high-resolution mass spectrometry-based quantitative proteomics of the bovine whey proteins at early, mid, and late lactation stages, we identified a total of 564 proteins, out of which 403 proteins were found to be differentially abundant at different lactation stages. As is expected of any body fluid proteome, 51% of the proteins identified in the milk were found to have signal peptides. Gene ontology analyses were carried out to categorize proteins altered across different lactation stages based on biological process and molecular function, which enabled us to correlate their significance in each lactation stage. We also investigated the potential pathways enriched in different lactation stages using bioinformatics pathway analysis tools. To the best of our knowledge, this study represents the first and largest inventory of milk proteins identified to date for an Indian cattle breed. We believe that the current study broadly informs both veterinary omics research and the emerging field of nutriproteomics during lactation stages.
Malnad Gidda is a dwarf indigenous cattle breed of India, which is known for its uniqueness of calving every year under a low input grazing system of rearing. Bulls of Malnad Gidda are known to be highly fertile even in stress conditions. However, the proteomic profiling of semen of this breed has not been investigated so far, which might provide a platform for a better understanding of its semen quality and male fertility. Therefore, we made an effort to characterize and quantify the proteome of seminal plasma and spermatozoa components of Malnad Gidda semen using a high-resolution mass spectrometry platform. We identified 2814 proteins from spermatozoa and 1974 proteins from the seminal plasma of this breed. Furthermore, >90% of proteins from each fraction were quantified using the intensity-based absolute quantification. We observed signal peptides in 33% of seminal plasma proteins, indicating their secretory nature. Gene Ontology analysis revealed their involvement in cytoskeletal assembly associated with sperm head, sperm motility, acrosome reaction, seminal plasma binding, and spermatogenesis-associated protein. An in-depth proteome profiling of semen of a unique indigenous cattle breed of India was carried out. Our findings could provide a reference for further studies on sperm functions, semen quality, and reproductive health of Bos indicus cattle. Mass spectrometry data generated in this study is deposited and publicly made available through ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD014172.
ObjectivePresent investigation was aimed to study the Single Nucleotide Variants of the luteinizing hormone beta (LHβ) gene and to analyze their association with the semen quality (fresh and post-thawed frozen semen) and luteinizing hormone (LH) concentrations in Murrah buffalo bulls.MethodsPolymerase chain reaction–single stranded conformational polymorphism (PCR–SSCP) and Sanger sequencing method is used to study genetic variability in LHβ gene. LH assay was carried out using enzyme-linked immunosorbent assay method. A fixed general linear model was used to analyze association of single nucleotide polymorphism (SNP) of LHβ gene with semen quality in 109 and LH concentrations in 80 Murrah bulls.ResultsLHβ gene was found to be polymorphic. Total six SNPs were identified in LHβ gene g C356090A, g C356113T, g A356701G, g G355869A, g G356330C, and g G356606T. Single Stranded Conformational Polymorphism variants of pattern 2 of exon 1+pattern 2 of exon 2+pattern 1 of exon 3 had highly significant (p<0.01) effect on sperm concentration (million/mL), percent mass motility, acrosome integrity and membrane integrity in fresh and frozen semen whereas significant (p<0.05) effect was observed on percent live spermatozoa. SSCP variants of pattern 2 of exon 1+pattern 2 of exon 2+pattern 1 of exon 3 had highly significant (p<0.01) effect on luteinizing hormone concentrations too.ConclusionThe observed association between SSCP variants of LHβ gene with semen quality parameters and LH concentrations indicated the possibilities of using LHβ as a candidate gene for identification of markers for semen quality traits and LH concentrations in Murrah buffaloes.
Study was conducted to evaluate the performance of Soviet Chinchilla and Californian White rabbit breeds maintained in tropical environment at rabbit research station, Hyderabad, Telangana. Data generated on total of 1364 bunnies, 701 belongings to the Soviet Chinchilla born in 122 litters and 663 bunnies of Californian White born in 124 litters during the period from 2012 to 2015 were utilized to examine the various productive performance traits. The overall least-squares mean litter size and litter weight was 5.52 ± 0.16 and 264.75 ± 7.86 at birth and 3.56 ± 0.17 and 1439.67 ± 72.55 g at weaning, respectively. The overall least-squares mean pre weaning body weights were 48.39 ± 0.48, 113.65 ± 1.38, 161.50 ± 2.03, 226.15 ± 3.47, 417.89 ± 7.53g at birth, 1, 2, 3 and 4 weeks of age and the post weaning weights at 6, 8, 10, 12, 14 and 16 weeks of age were 628.75 ± 13.02, 844.11 ± 14.81, 1040.79 ± 16.42, 1225.96 ± 17.81, 1437.57 ± 20.54 and 1636.99 ± 28.87 g, respectively. Season of birth and litter size at birth showed significant (£0.01) effect on body weights while genetic group, parity of the doe and sex of the bunny had slight effects only. The low to high heritability estimates, genetic and phenotypic correlations of body weights are the indication for improvement of body weights by appropriate breeding plans.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.