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Not AvailableMale infertility is one of the prime concerns of dairy cattle production. The study was designed to find out differentially expressed proteins in categorized crossbred (Holstein Friesian × Sahiwal) bull semen to serve as potential biomarkers for male in- fertility. Frozen crossbred bull semen with satisfactory phenotypic records were de- fined as “good” and “poor” based on their fertility rates. A total of 1,547 proteins were detected in bull spermatozoa using liquid chromatography–mass spectrometer (LC- MS/MS) analysis. Results revealed that 558 (36.1%) and 653 (42.2%) proteins were expressed to good and poor quality bull spermatozoa, respectively. A total of 336 proteins (21.7%) were reported to be unique for both good and poor quality bull semen, and among the common proteins, 224 (66.7%) and 112 (33.3%) were up- and downregulated in good and poor quality categorized bull semen, respectively. Gene Ontology analysis of global proteomes identified different signalling pathways, and most of them were related to cellular motility, immune systems as well as cellular me- tabolisms. The distinctive presence of some of the proteins may provide an insight into the molecular mechanistic role played by these proteins in crossbred bull infertilitySERB ,GO

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Not AvailableMale infertility is one of the prime concerns of dairy cattle production. The study was designed to find out differentially expressed proteins in categorized crossbred (Holstein Friesian × Sahiwal) bull semen to serve as potential biomarkers for male infertility. Frozen crossbred bull semen with satisfactory phenotypic records were defined as "good" and "poor" based on their fertility rates. A total of 1,547 proteins were detected in bull spermatozoa using liquid chromatography-mass spectrometer (LC-MS/MS) analysis. Results revealed that 558 (36.1%) and 653 (42.2%) proteins were expressed to good and poor quality bull spermatozoa, respectively. A total of 336 proteins (21.7%) were reported to be unique for both good and poor quality bull semen, and among the common proteins, 224 (66.7%) and 112 (33.3%) were up- and downregulated in good and poor quality categorized bull semen, respectively. Gene Ontology analysis of global proteomes identified different signalling pathways, and most of them were related to cellular motility, immune systems as well as cellular metabolisms. The distinctive presence of some of the proteins may provide an insight into the molecular mechanistic role played by these proteins in crossbred bull infertility.Not Availabl

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Not AvailableThermotolerance depends mainly on the health and immune status of the animals. The variation in the immune status of the animals may alter the level of tolerance of animals exposed to heat or cold stress. The present study was conducted to investigate the expression profile of two important nucleotide binding and oligomerization domain receptors (NLRs) (NOD1 and NOD2) and their central signalling molecule RIP2 gene during in vitro thermal-stressed bovine peripheral blood mononuclear cells (PBMCs) of native (Sahiwal) and crossbred (Sahiwal X HF) cattle. We also examined the differential expression profile of certain acute inflammatory cytokines in in vitro thermal-stressed PBMC culture among native and its crossbred counterparts. Results revealed that the expression profile of NOD1/2 positively correlates with the thermal stress, signalling molecule and cytokines. Present findings also highlighted that the expression patterns during thermal stress were comparatively superior among indigenous compared to crossbred cattle which may add references regarding the better immune adaptability of Zebu cattleNot Availabl

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Not AvailableBull spermatozoa contain different functional genes and many of them plays important roles in different stages of spermatogenesis, spermatozoa kinetics, fertilization as well as embryonic development. RNA deep sequencing is one of the preferred tools for absolute quantification of messenger RNA. The intention of the current study was to investigate the abundance of spermatozoal transcripts in categorized Frieswal (Holstein-Friesian X Sahiwal) crossbred bull semen through RNA deep sequencing. A total 1546561 and 1019308 numbers of reads were identified among good and poor quality bull spermatozoa based on their conception rate. Post mapping with Bos taurus reference genome identified 1,321,236 and 842,022 number of transcripts among good and poor quality RNA libraries, respectively. However, a total number of 3510 and 6759 functional transcripts were identified among good and poor quality bull spermatozoa, respectively. Most of the identified transcripts were related to spermatozoa functions, embryonic development and other functional aspects of fertilization. Wet laboratory validation of the top five selected transcripts (AKAP4, PRM1, ATP2B4, TRIM71 and SLC9B2) illustrated the significant (p < 0.01) level of expression in the good quality crossbred bull semen than the poor quality counterparts. The present study with comprehensive profiling of spermatozoal transcripts provides a useful non-invasive tool to understand the causes of as well as an effective way to predict male infertility in crossbred bulls.Science and Engineering Research Board, Government of Indi

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Not AvailableBull spermatozoa contain different functional genes and many of them plays important roles in differentstages of spermatogenesis, spermatozoa kinetics, fertilization as well as embryonic development. RNAdeep sequencing is one of the preferred tools for absolute quantification of messenger RNA. The intentionof the current study was to investigate the abundance of spermatozoal transcripts in categorized Frieswal(Holstein-Friesian X Sahiwal) crossbred bull semen through RNA deep sequencing. A total 1546561 and1019308 numbers of reads were identified among good and poor quality bull spermatozoa based on theirconception rate. Post mapping withBos taurusreference genome identified 1,321,236 and 842,022number of transcripts among good and poor quality RNA libraries, respectively. However, a total numberof 3510 and 6759 functional transcripts were identified among good and poor quality bull spermatozoa,respectively. Most of the identified transcripts were related to spermatozoa functions, embryonicdevelopment and other functional aspects of fertilization. Wet laboratory validation of the topfiveselected transcripts (AKAP4, PRM1, ATP2B4, TRIM71 and SLC9B2) illustrated the significant (p<0.01)level of expression in the good quality crossbred bull semen than the poor quality counterparts. Thepresent study with comprehensive profiling of spermatozoal transcripts provides a useful non-invasivetool to understand the causes of as well as an effective way to predict male infertility in crossbred bullsScience and Engineering Research Boar