Elucidation of population stratifying markers and selective sweeps in crossbred Landlly pig population using genome-wide SNP data.

The present study was aimed at the identification of population stratifying markers from the commercial porcine SNP 60K array and elucidate the genome-wide selective sweeps in the crossbred Landlly pig population. Original genotyping data, generated on Landlly pigs, was merged in various combinations with global suid breeds that were grouped as exotic (global pig breeds excluding Indian and Chinese), Chinese (Chinese pig breeds only), and outgroup pig populations. Post quality control, the genome-wide SNPs were ranked for their stratifying power within each dataset in TRES (using three different criteria) and FIFS programs and top-ranked SNPs (0.5K, 1K, 2K, 3K, and 4K densities) were selected. PCA plots were used to assess the stratification power of low-density panels. Selective sweeps were elucidated in the Landlly population using intra- and inter-population haplotype statistics. Additionally, Tajima's D-statistics were calculated to determine the status of balancing selection in the Landlly population. PCA plots showed 0.5K marker density to effectively stratify Landlly from other pig populations. The A-score in DAPC program revealed the Delta statistic of marker selection to outperform other methods (informativeness and FST methods) and that 3000-marker density was suitable for stratification of Landlly animals from exotic pig populations. The results from selective sweep analysis revealed the Landlly population to be under selection for mammary (NAV2), reproductive efficiency (JMY, SERGEF, and MAP3K20), body conformation (FHIT, WNT2, ASRB, DMGDH, and BHMT), feed efficiency (CSRNP1 and ADRA1A), and immunity (U6, MYO3B, RBMS3, and FAM78B) traits. More than two methods suggested sweeps for immunity and feed efficiency traits, thus giving a strong indication for selection in this direction. The study is the first of its kind in Indian pig breeds with a comparison against global breeds. In conclusion, 500 markers were able to effectively stratify the breeds. Different traits under selective sweeps (natural or artificial selection) can be exploited for further improvement.

Genetic diversity, population structure analysis and codon substitutions of Indicine Badri cattle using ddRAD sequencing.

The present study was carried out on 96 animals representing three distinct colour variants of Badri cattle to investigate the genetic diversity, population structure and substitution mutations in the genetic codons due to single nucleotide variations. The DNA samples of 96 Badri cows were genotyped using a double digestion restriction associated DNA (ddRAD) sequencing approach. A standardized bioinformatics pipeline was employed to identify single nucleotide polymorphisms (SNPs), initially detecting 7,168,552 SNPs through alignment with the Bos indicus reference genome assembly. Subsequent stringent quality filtration yielded 65,483 high-confidence SNPs for downstream analysis. Genetic diversity analysis of the Badri cattle population resulted in average values of 0.145, 0.088, and 0.091 for Shannon's diversity Index (I), Simpson's Diversity (h), and Simpson's Unbiased Diversity (uh), respectively. Genetic similarities between the black and brown, black and grey, and brown and grey Badri variants were found to be 0.9972, 0.9980 and 0.9970, respectively. Tajima's D diversity value was observed to be significant and positive for 99.29% of high-confidence SNPs (65,483). STRUCTURE analysis showed admixture among the three Badri colour variants, suggesting a lack of genetic differentiation. Annotation of high-confidence SNPs regarding genetic codon changes indicated maximum substitutions in the GGC with GGT (22 occurrences), followed by AAC to AGC (20 occurrences), GAA to TAA (19 occurrences) and CAA to CAG (19 occurrences). The study concludes there are genetic similarities among colour variants, lack of rare alleles, balancing selection, sudden population contraction and genetic codon substitutions within the Badri cattle population. Insights derived from SNP data analysis hold potential significance for conservation initiatives and breed improvement programs for indicine cattle.

Genetic analysis of first lactation and lifetime performance traits in composite Vrindavani cattle: important considerations for higher milk production.

The present study was aimed to evaluate the influence of non-genetic factors on several first lactation and lifetime performance traits and elucidate their genetic parameters in an organized Vrindavani cattle population. Data on eight first-lactation and thirteen lifetime traits were collected on 2400 cows with pedigree records that were reared during 33-year period (1989-2021). The first-lactation traits included age at first calving (AFC), total milk yield (FTMY), standard milk yield (FSMY305), peak yield (FPY), lactation length (FLL), dry period (FDP), service period (FSP) and calving interval (FCI). Whereas, the lifetime traits mainly included total lifetime milk yield (TLMY), total standard milk yield (TSMY), number of lactations completed (NL), total lactation length (TLL), herd life (HL), productive life (PL), average milk yield per day of herd life (TLMY/HL), average milk yield per day of productive life (TLMY/PL), average milk yield per day of productive life (TLMY/TLL). Other lifetime production traits included average service period (ASP), average dry period (ADP), average calving interval (ACI) and unproductive days (UD). The heritability estimates of first-lactation traits ranged between 0.026 and 0.228 and were found to be low for AFC (0.180 ± 0.042), FCI (0.191 ± 0.125), FSMY305 (0.145 ± 0.061), FTMY (0.165 ± 0.048), FDP (0.052 ± 0.049) and FSP (0.026 ± 0.033); however, FLL (0.229 ± 0.044) and FPY (0.202 ± 0.046) showed moderate heritability. Positive phenotypic correlation (p < 0.001) was revealed among FTMY, TLMY, TLL, HL and PL. The AFC produced a significant effect (p < 0.05) on several traits i,e, TLL, TLMY/HL, FSMY305, FPY, TLMY, HL and TLMY/PL. Lower AFC was associated with higher TLMY, TLL and TLMY/HL; while FSMY305, FPY, HL and TLMY/PL were higher in heifers that calved late in their life. The results revealed that AFC may be optimized with first lactation and lifetime traits for this population.

Identification of genetic variants affecting reproduction traits in Vrindavani cattle.

Genome-wide association studies (GWAS) are one of the best ways to look into the connection between single-nucleotide polymorphisms (SNPs) and the phenotypic performance. This study aimed to identify the genetic variants that significantly affect the important reproduction traits in Vrindavani cattle using genome-wide SNP chip array data. In this study, 96 randomly chosen Vrindavani cows were genotyped using the Illumina Bovine50K BeadChip platform. A linear regression model of the genome-wide association study was fitted in the PLINK program between genome-wide SNP markers and reproduction traits, including age at first calving (AFC), inter-calving period (ICP), dry days (DD), and service period (SP) across the first three lactations. Information on different QTLs and genes, overlapping or adjacent to genomic coordinates of significant SNPs, was also mined from relevant databases in order to identify the biological pathways associated with reproductive traits in bovine. The Bonferroni correction resulted in total 39 SNP markers present on different chromosomes being identified that significantly affected the variation in AFC (6 SNPs), ICP (7 SNPs), DD (9 SNPs), and SP (17 SNPs). Novel potential candidate genes associated with reproductive traits that were identified using the GWAS methodology included UMPS, ITGB5, ADAM2, UPK1B, TEX55, bta-mir-708, TMPO, TDRD5, MAPRE2, PTER, AP3B1, DPP8, PLAT, TXN2, NDUFAF1, TGFA, DTNA, RSU1, KCNQ1, ADAM32, and CHST8. The significant SNPs and genes associated with the reproductive traits and the enriched genes may be exploited as candidate biomarkers in animal improvement programs, especially for improved reproduction performance in bovines.

Read-depth based approach on whole genome resequencing data reveals important insights into the copy number variation (CNV) map of major global buffalo breeds.

BACKGROUND: Elucidating genome-wide structural variants including copy number variations (CNVs) have gained increased significance in recent times owing to their contribution to genetic diversity and association with important pathophysiological states. The present study aimed to elucidate the high-resolution CNV map of six different global buffalo breeds using whole genome resequencing data at two coverages (10X and 30X). Post-quality control, the sequence reads were aligned to the latest draft release of the Bubaline genome. The genome-wide CNVs were elucidated using a read-depth approach in CNVnator with different bin sizes. Adjacent CNVs were concatenated into copy number variation regions (CNVRs) in different breeds and their genomic coverage was elucidated. RESULTS: Overall, the average size of CNVR was lower at 30X coverage, providing finer details. Most of the CNVRs were either deletion or duplication type while the occurrence of mixed events was lesser in number on a comparative basis in all breeds. The average CNVR size was lower at 30X coverage (0.201 Mb) as compared to 10X (0.013 Mb) with the finest variants in Banni buffaloes. The maximum number of CNVs was observed in Murrah (2627) and Pandharpuri (25,688) at 10X and 30X coverages, respectively. Whereas the minimum number of CNVs were scored in Surti at both coverages (2092 and 17,373). On the other hand, the highest and lowest number of CNVRs were scored in Jaffarabadi (833 and 10,179 events) and Surti (783 and 7553 events) at both coverages. Deletion events overnumbered duplications in all breeds at both coverages. Gene profiling of common overlapped genes and longest CNVRs provided important insights into the evolutionary history of these breeds and indicate the genomic regions under selection in respective breeds. CONCLUSION: The present study is the first of its kind to elucidate the high-resolution CNV map in major buffalo populations using a read-depth approach on whole genome resequencing data. The results revealed important insights into the divergence of major global buffalo breeds along the evolutionary timescale.

Haplotype-based association study of production and reproduction traits in multigenerational Vrindavani population.

Haplotype-based association analysis promises to reveal important information regarding the effect of genetic variants on economic traits of interest. The present study aimed to evaluate the haplotype structure of Vrindavani cattle and explore the association of haplotypes with (re)production traits of economic interest. Genotyping array data of medium density (Bovine50KSNP BeadChip) on 96 randomly selected Vrindavani cows was used in the present study. Genotypes were called in GenomeStudio program while quality control was undertaken in PLINK using standard thresholds. The phenotypic traits used in the present study included age at first calving, dry days, lactation length, peak yield, total lactation milk yield, inter-calving period and service period. The haplotype structure of Vrindavani population was assessed, using a sliding window of 20 SNP with a shift of 5 SNPs at a time, in terms of the size of haplotype blocks regarding their length (in Kb) and frequency in chromosome-wise fashion. Haplotype blocks were assessed for possible association with important production and reproduction traits across three lactation cycles in Vrindavani cattle population. The first ten principal components were included in the model for haplotype-based association analysis to correct for stratification effects of assessed individuals. Multiple haplotypes were found to be associated with age at first calving, total lactation milk yield, peak yield, dry days, inter-calving period and service period. Various candidate genes were found to overlap haplotypes that were significantly associated with age at first calving (CDH18, MARCHF11, MYO10, FBXL7), total lactation milk yield (TGF, PDE1A, and COL8A1), peak yield (PPARGC1A, RCAN1, KCNE1, SMIM34 and MRPS6), dry days (CPNE4, ACAD11 and MRAS), inter-calving period (ABCG5, ABCG8 and COX7A2L) and service period (FOXL2 and PIK3CB). The putative candidate genes overlapping the significantly associated haplotypes revealed important pathways affecting the production and reproduction performance of animals. The identified genes and pathways may serve as good candidate markers to select animals for improved production and reproduction performance in future generations.

Hematological and serum biochemical parameters and profiling of cytokine genes in lumpy skin disease in Vrindavani cattle.

Lumpy skin disease (LSD) is a notifiable re-emerging transboundary viral disease of bovines that inflicts heavy losses in affected livestock farms. Genetic variations contribute substantially to the inter-individual differences in the immune response against disease agents. The present study aimed to evaluate the genetic basis of differential immune response in Vrindavani cattle by comparing the hematological, biochemical and cytokine genes' expression profiles of LSD-affected and unaffected animals. After 21 days of the outbreak at the farm, the animals were grouped as affected (those who developed symptoms) and unaffected/healthy (those who did not). Standard hematological and biochemical parameters were evaluated in both the groups. Expression profiling of important Th1 (IL2, INFG and GMCSF) and Th2 (IL4, IL6 and IL10) cytokines was also performed via a relative quantification approach using real-time PCR. Erythrogram and leucogram analyses revealed significant differences in total leucocyte count (TLC: 14.18 ± 0.74 versus 11.38 ± 0.68 x103/µL), hemoglobin (Hb: 8.66 ± 0.42 versus 10.84 ± 0.17 g%) and percentage of neutrophils (46.40 ± 1.98 versus 35.40 ± 2.11%), lymphocytes (49.40 ± 1.99 versus 62.40 ± 1.86) and monocytes (4.20 ± 0.37 versus 2.40 ± 0.40) between the affected and healthy animals, respectively. The production of liver enzymes (SGOT and SGPT) was significantly higher in affected animals (74.18 ± 4.76 and 59.51 ± 2.75) when compared to the healthy counterparts (65.95 ± 9.18 and 39.21 ± 3.31). The expression profiling of Th1 and Th2 cytokines revealed significant differences between the two groups, except IL10. The expression of IL2, GMCSF and IL6 were upregulated in healthy animals while that of INFG, IL4 and IL10 were upregulated in LSD-affected animals. The highest abundance was observed for IL2 transcripts in healthy animals among all assessed cytokines with log2fold change of 1.61 as compared to affected counterparts. Overall, the immune response in healthy animals (after exposure to LSD virus) was predominated by the expression of Th1 cell proliferation and there was an increased production of pro-inflammatory cytokines as compared to the affected counterparts. The results revealed that the effective immune response to LSD in cattle consists of changes in hematological and biochemical parameters and altered expression profile of cytokines with enhanced phagocytosis and lymphocyte recruitment. Furthermore, optimal expression of Th1 cytokines is required for maintaining optimal health against infectious insult with LSD virus in cattle.

Genome wide copy number variations using Porcine 60K SNP Beadchip in Landlly pigs.

In the present study, Porcine 60K SNP genotype data from 69 Landlly pigs were used to explore Copy Number Variations (CNVs) across the autosomes. A total of 386 CNVs were identified using Hidden Markov Model (HMM) in PennCNV software, which were subsequently aggregated to 115 CNV regions (CNVRs). Among the total detected CNVRs, 58 gain, 49 were loss type while remaining 8 events were both gain and loss types. Identified CNVRs covered 12.5 Mb (0.55%) of Sus scrofa reference 11.1 genome. Comparison of our results with previous investigations on pigs revealed that approximately 75% CNVRs were novel, which may be due to differences in genetic background, environment and implementation of artificial selection in Landlly pigs. Functional annotation and pathway analysis showed the significant enrichment of 267 well-annotated Sus scrofa genes in CNVRs. These genes were involved in different biological functions like sensory perception, meat quality traits, back fat thickness and immunity. Additionally, KIT and FUT1 were two major genes detected on CNVR in our population. This investigation provided a comprehensive overview of CNV distribution in the Indian porcine genome for the first time, which may be useful for further investigating the association of important quantitative traits in Landlly pigs.Highlights115 CNVRs were identified in 69 Landlly pig population.Approximately 75% detected CNVRs were novel for Landlly population.Significant enrichment of 267 well-annotated Sus scrofa genes observed in these CNVRs.These genes were involved in different biological functions like sensory perception, meat quality traits, back fat thickness and immunity.Comprehensive CNV map in the Indian porcine genome developed for the first time.

Genome-wide transcriptome profiling of CSF virus challenged monocyte-derived macrophages provides distinct insights into immune response of Landrace and indigenous Ghurrah pigs.

The present study was undertaken to characterize the distinct immune response in indigenous Ghurrah and exotic Landrace pigs by challenging monocyte-derived macrophages (MDMs) with CSF virus under in-vitro conditions and assessing the variations in the transcriptome profile at 48 h post-infection (hpi). RNA-sequencing was carried out in infected and non-infected MDMs of Ghurrah (n = 3) and Landrace (n = 3) piglets prior- as well as post-stimulation. MDMs of Ghurrah showed greater immune regulation in response to CSF infection with 518 significantly differentially expressed genes (DEG) in infected versus non-infected MDMs, as compared to only 31 DEGs in Landrace MDMs. In Landrace, the principal regulators of inflammation (IL1α, IL1ß and TNF) were upregulated in infected cells while in Ghurrah, these were downregulated. Overall, macrophages from indigenous Ghurrah showed more immunological dysregulation in response to virulent CSF virus infection as compared to the exotic Landrace pigs.

Genome-wide elucidation of CNV regions and their association with production and reproduction traits in composite Vrindavani cattle.

The present study was aimed to analyze the genome-wide copy number variations (CNVs) in Vrindavani composite cattle and concatenate them into CNV regions (CNVRs), and finally test the association of CNVRs with different production and reproduction traits. Genotypic data, generated on BovineSNP50 Beadchip (v3) array for 96 Vrindavani animals, was used to elucidate the CNVs at the genome level. Intensity data covering over 53,218 SNP genotypes on bovine genome was used. Algorithm based on Hidden Markov Model was employed in PennCNV program to detect, normalize and filter CNVs across the genome. 252 putative CNVs, detected via PennCNV program, in different individuals were concatenated into 71 CNV regions (CNVRs) using CNVRuler program. Association of CNVRs with important (re)production traits in Vrindavani animals was assessed using linear regression. Five CNVRs were found to be significantly associated with ten important (re)production traits. The genes harbored in these regions provided useful insights into the association of CNVRs with genes and ultimately the variation at phenotype level. Important genes that overlapped with CNVRs included WASHC4, HS6ST3, MBNL2, TOLLIP, PIDD1 and TSPAN4. Furthermore, the CNVRs were found to overlap with important QTLs available in AnimalQTL database which affect milk yield and composition along with reproduction and immune function traits. The copy number states of three enes were validated using digital droplet PCR technique. The results from the present study significantly enhance the understanding about CNVs in Vrindavani cattle and should help establish its CNV map. The study will also enable further investigation on association of these variants with important traits of economic interest including disease incidence.

Bayesian analysis reveals the influence of maternal effect on pre-weaning body weights in Landlly piglets.

The present study was undertaken to estimate the (co)variance components and genetic parameters of body weights recorded in Landlly piglets from birth to weaning at weekly intervals (w0 to w6). The data pertained to body weights of 2462 piglets, born to 91 sires and 159 dams across different generations during a 7-year period from 2014 to 2020. Five animal models (I-V), differentiated by inclusion or exclusion of maternal effects with or without covariance between maternal and direct genetic effects, were fitted on the data using the Bayesian algorithm. The analyses were implemented by Gibbs sampling in the BLUPF90 program and Markov chain Monte Carlo (MCMC) methodology was used to draw samples of posterior distribution pertaining to (co)variance components. Based on deviance information criteria (DIC), model V with inclusion of direct additive genetic, direct maternal genetic and permanent environmental effect of dam as random factors along with covariance between direct additive and maternal effects best fitted the data on pre-weaning traits (w0 to w5). Whereas, model I incorporating only the direct additive genetic effect best fitted the weaning weight (w6) data in Landlly piglets. The posterior mean estimates of direct heritability under the best models for W0 to W6 were 0.13, 0.19, 0.29, 0.13, 0.26, 0.32 and 0.46, respectively. Inclusion of the maternal component helped in better partitioning of variance for different body weights in Landlly piglets. The maternal heritability ranged from 0.06 to 0.14, while the litter heritability ranged from 0.11 to 0.15 for pre-weaning weights (W0 to W5) under the best-fit models. The influence of maternal environment was greater than maternal genetic effect from birth to 4th week of age. The results implied that variations in body weight of Landlly pigs were genetically controlled to moderate levels (especially w2 and w4) with contributions from direct additive and maternal genotype that can be exploited by designing efficient breeding programmes.

Identification of important miRNAs in bubaline mammary gland at heifer stage - An in-silico approach.

The present study was undertaken to identify the microRNAs (miRNAs) expressed in the mammary tissue of a bubaline heifer. Small RNAs were isolated from the mammary gland tissue and enriched for miRNA fraction. The linker-ligated small RNAs were reverse transcribed to synthesize cDNA and amplified by PCR. The PCR products were ligated to the pGEM-T Easy vector; cloned into DH5 alpha cells and sequenced. Sequencing of 40 clones, randomly chosen from this library, produced 115 concatemerized short sequences. The short sequences were checked for their matches with the help of refseq_rna database, EST database (NCBI) and Ensembl. The analysis was performed for more than 90% identity with miRNAs across different species in miRBase. Alignment of putative small RNA sequences with the bovine genome was attempted in GenBank (NCBI) and Ensembl using BLAST. The small RNA sequences with a partial matches within the bovine genome and/or with flanking sequences (upstream or downstream) were analyzed for hairpin structures using the Mfold web server. Reverse complements were also assessed for the homology search. miRNA sequences showing only a partial match with already reported sequences were considered as a putative bubaline miRNAs. Six developmentally important putative miRNA precursors were identified from this study using cloning and sequencing followed by the Bioinformatics approach. This study will help in the elucidation of pathways involving miRNAs in bubaline species at the heifer stage.

A Multi-copy Nucleic Acid-Based Diagnostic Test for Bovine Tropical Theileriosis.

BACKGROUND: Bovine tropical theileriosis (BTT) is a haemoprotozoan tick-borne disease that implicates huge losses to livestock in terms of considerable mortality and morbidity in tropical and subtropical regions of the globe. Currently available diagnostic methods have less specificity and sensitivity towards the detection of Theileria species. Therefore, an attempt was made to diagnose Theileria annulata by targeting a multi-copy gene, viz. mitochondrially encoded cytochrome b (MT-CYB) gene via polymerase chain reaction (PCR) in different agro-zones of India. METHODS AND RESULTS: 129 cattle blood samples were collected from major livestock rearing regions of India and processed for both molecular and microscopic techniques. Screening of Giemsa-stained thin blood smears was able to detect 14 samples (10.85%) as positive for T. annulata. However, the MT-CYB gene-based PCR assay detected 107 samples (82.94%) positive for T. annulata out of 129 samples. Furthermore, the MT-CYB gene-based PCR assay was standardized in terms of its sensitivity and specificity. Specificity of PCR assay was evaluated against other common haemoprotozoan parasites of tropical countries viz. Babesia bigemina, Anaplasma marginale and Trypanosoma evansi. The multi-copy MT-CYB gene-based PCR assay provided an optimum level of sensitivity (up to the level of 10 femtogram) and high specificity. Haematological examination (Hb, PCV and TLC) of 113 samples revealed significantly (p < 0.05) decreased Hb and PCV levels in positive animals in comparison with the control group of healthy animals. However, the control group had significantly higher (p < 0.001) TLC levels than the positive group. CONCLUSION: The MT-CYB gene-based PCR assay was found to be highly sensitive that can accurately detect the occurrence of T. annulata infection in carrier animals which are potential infection sources to healthier populations in naive demographic locations through infected ticks.

Analysis of selection signatures reveals important insights into the adaptability of high-altitude Indian sheep breed Changthangi.

Changthangi is a high-altitude sheep breed of India that is adapted to cold and hypoxic climate of Himalayas. In the present study, we analysed population structure of Changthangi and contrasted it with selected Indian and European commercial sheep breeds to detect genomic regions under positive selection. The Illumina OvineSNP50v1 genotype data on 292 animals from seven different sheep breeds i.e., Changthangi (n = 29), Garole (n = 26), Deccani (n = 24), Tibetan (n = 37), Rambouillet (n = 102) and Australian Merino (n = 50) was used. European Mouflon (n = 24) was used as an out-group for studying the stratification and phylogenetic lineage. While the principal component analysis (PCA) revealed Changthangi to cluster with Tibetan sheep; TREEMIX and ADMIXTURE results also detected the introgression of lowland Indian sheep inheritance in Changthangi. Changthangi sheep were compared with other breed groups as reference i.e., commercial (Australian Merino and Rambouillet), Indian (Deccani, Garole and Tibetan) and breeds inhabiting plains (Australian Merino, Rambouillet, Deccani and Garole). Genomic comparisons of Changthangi using cross population extended haplotype homozygosity (XP-EHH) showed multiple functional regions present on Ovis aries (Oar) chromosomes 2, 3, 6 and 18 to be under selection in Changthangi sheep. These regions were related with adaptation to climatic and hypoxic stressors, fleece characteristics and functioning of immune and reproductive systems. UCP genes, associated with adaptation to cold and hypoxic conditions, were the main loci under positive selection in Changthangi sheep population. The selection signals in Indian and European commercial sheep breeds were mainly associated with body weight and carcass traits. Furthermore, selection signals found in different comparisons were found to be part of different quantitative trait loci (QTLs) associated with important traits in different breed classes. The genes present in these regions are suitable candidates for future studies on the genetic mechanisms underlying high-altitude adaptation.

Multivariate quantitative genetic analysis of body weight traits in Corriedale sheep.

In the present study, an attempt was made to elucidate the genetic parameters for body weight traits of lambs from Corriedale sheep population at different ages. Data were collected from 6874 lambs born over a span of 49 years from 1969 to 2017. The traits under study included body weight at birth (BW), weaning (WW), 6 months of age (6MW), 9 months of age (9MW) and yearling stage (YW). Data were statistically analyzed using restricted maximum likelihood (REML) algorithm in WOMBAT program. A multi-variate animal model was fitted to the data incorporating season and period of lambing, sex of lamb and litter size as fixed effects. Variance and covariance components were estimated using the animal model after incorporating direct additive genetic effect of animal as random factor. Genetic and phenotypic correlations with corresponding standard errors were also estimated. The heritability estimates for BW, WW, 6MW, 9MW and YW were 0.130 ± 0.023, 0.300 ± 0.029, 0.292 ± 0.030, 0.191 ± 0.025 and 0.169 ± 0.024, respectively. The genetic correlation between different traits under study was high, except between BW and 9MW for which the estimate was moderate. Phenotypic correlation ranged from low to high for different trait combinations. Among different traits under study, only two traits showed moderate heritability i.e. WW and 6MW while heritability of other traits was low. Both these traits showed high correlation with all subsequent traits. Selection programme for Corriedale sheep should be based on WW which is expressed early in life and shall lead to moderate genetic response to selection.

Estimation of (Co)Variance components and genetic parameters of fibre traits in Rambouillet sheep using multi-trait analysis.

The present study aimed to estimate the genetic parameters of different fibre traits, viz., greasy fleece weight, staple length, and fibre diameter in Rambouillet sheep population using a multi-trait animal model. Data, spanning over 10 years (1998-2007) and pertaining to fibre traits at first clip, were collected for a total of 4186 Rambouillet sheep maintained at an organized farm. (Co)Variance structure and genetic parameters were estimated using a multi-trait animal model. The genetic analysis of data was performed based on restricted maximum likelihood (REML) procedure using WOMBAT software. The model incorporated sex of lamb (i = 1, 2), year of birth (j = 1-10), season of birth (k = 1-2), and litter size (l = 1-2) as fixed effects while direct additive genetic and maternal genetic effects were included as random effects. The direct additive genetic heritability estimates were 0.120±0.034, 0.136±0.037, and 0.356±0.070 for greasy fleece weight, staple length, and fibre diameter, respectively. The maternal genetic heritability of all fibre traits under study was very low. Additive genetic correlation was positive and low between greasy fleece weight and staple length; and between staple length and fibre diameter. In conclusion, fibre diameter was moderately heritable which implies that selection may lead to moderate improvement in this trait. The results from the present study will help in formulating optimal breeding plans for improvement of fibre traits in Rambouillet sheep.

Curcumin inhibits lipopolysaccharide and lipoteichoic acid-induced expression of proinflammatory cytokines and production of PGE2 in the primary bubaline endometrial stromal cells.

Infection of the uterus with Gram-positive Trueperella pyogenes and Gram-negative Escherichia coli is a common cause of postpartum endometritis in the cattle and buffalo and the condition is treated with antimicrobial drugs. The presence of drug residues in the milk and development of resistant bacteria necessitate the evaluation of alternate therapies for endometritis. Accordingly, we tested the immunomodulatory effect of curcumin in the bubaline endometrial stromal cells after treatment with the lipoteichoic acid (LTA) of Gram-positive Staphylococcus aureus and lipopolysaccharide (LPS) of Gram-negative E. coli that activate toll-like receptors (TLR-2 and TLR-4, respectively). Confluent primary culture of endometrial stromal cells was treated with LTA (1 µg/mL) and/or LPS (0.1 µg/mL), in the presence or absence of curcumin (30 µM for 24 h). PGE2 was assayed in the supernatant and the relative expression of proinflammatory cytokines (PICs) (IL1B, IL6, IL8 and TNFA) transcripts were quantified using real-time PCR. LTA was not effective in stimulating PGE2 production or upregulating the PIC expression except IL8. LTA+LPS increased PGE2 production and upregulated IL6 and IL8 genes. Curcumin inhibited the basal and LTA+LPS induced production of PGE2 and upregulation of PIC production. It was apparent that LPS, but not LTA, is a potent stimulator of PGE2 from the bubaline endometrial stromal cells. Curcumin downregulated the expression of LPS and/or LTA induced PICs and PGE2 and may be an alternate to antimicrobial drugs for the therapeutic management of endometritis.

Genetic characterization and population structure of different coat colour variants of Badri cattle.

The present study aimed to genetically characterize the Badri cattle and its three colour variants and assess their population structure using 24 microsatellite markers. Out of 96 animals analyzed, 32 each were collected from grey (GVBC), brown (BrVBC) and black (BVBC) colour variants of Badri cattle (BC). The genetic diversity parameters including allele frequencies, observed and effective number of alleles, observed and expected heterozygosity, PIC, Shannon's indices and F-statistics were estimated using POPGENE software. Bottleneck analysis was performed using both qualitative and quantitative approaches. A total of 274 alleles (50 private and 224 shared) were scored for BC, GVBC, BrVBC and BVBC with mean number of 11.417, 9.083, 9.125 and 9.083 alleles, respectively. All populations exhibited average heterozygosity estimate > 0.5 indicating existence of substantial genetic variability, concurrent with revelations from Shannon's indices. Observed mean PIC estimates (> 0.74) were indicative of optimum informativeness of used microsatellite markers. The mean inbreeding estimates (F) in GVBC, BrVBC and BVBC were 0.041, - 0.024 and 0.016, respectively. The pair wise genetic (> 0.91) pointed towards similarity between different colour variant populations. STRUCTURE analysis also revealed clear admixture for the three Badri colour variants indicating absence of genetic differentiation. The present study revealed first-hand information that populations of Badri cattle with different phenotypes with respect to coat colour are genetically related and can be considered as a single breed. The comprehensive knowledge generated for Badri cattle will help in designing breeding plan for its genetic improvement and deciding the conservation priorities.

Association of bovine major histocompatibility complex class I (BoLA-A) alleles with immune response to Brucella abortus strain 19 in calves.

In the present study, we analyzed the immune response of calves to Brucella abortus strain 19 vaccine (S19) and its association with MHC class I (BoLA-A) alleles (exons 2-3 and 4-5). Polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) was used for typing of BoLA-A exon 2-3 with DdeI and TaqI restriction enzymes; and exon 4-5 with HinfI in 45 crossbred calves. The PCR-RFLP analysis revealed five BoLA-A alleles each for exon 2-3 (A10/A19, A19, A18/19, A18 and A31) and exon 4-5 (A, B, C, D and E). Immune response against B. abortus S19 was assessed at the 4th week post vaccination; antibody response by standard tube agglutination test (STAT) and cell-mediated immunity by lymphocyte proliferation and lymphocyte-mediated cytotoxicity assays. Further, the macrophage function in terms of nitrite production was also analyzed. The association analysis of various BoLA-A alleles with the elicitation of immune response revealed that calves with certain defined genotypes induced significantly higher cell-mediated immune response in terms of lymphocyte proliferation with higher stimulation indices (S.I.) of 1.59 (BoLA-A19), 1.49 (A18/19) and 1.52 (HinfI-D); lymphocyte mediated cytotoxicity (55.52 % in A19) and nitrite production (43.40 µM in A31). It is assumed that allelic variants of BoLA-A (exons 2-3 and 4-5) were associated with the differential immune response of calves to B. abortus S19 vaccination. Therefore, further studies on association analysis of MHC class-I genes in large number of cattle may generate more information and might be useful for adapting the alternative approach of exploring genetic resistance in the cattle herd against bovine brucellosis.