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Bishnoi S, Jyotsana B, Kumar V, Prakash V, Ranjan R, Narnaware SD, Pannu U. Toll like receptor 4 (TLR4) gene polymorphism and its association with somatic cell score and milk production traits in Indian dromedary camels. Anim Biotechnol 2024; 35:2331642. [PMID: 38520296 DOI: 10.1080/10495398.2024.2331642] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/25/2024]
Abstract
Our study aimed to explore the genetic variation in the Toll-like receptor 4 (TLR4) gene and establish its association with somatic cell score (SCS) and milk production traits in four Indian camel breeds namely Bikaneri, Kachchhi, Jaisalmeri and Mewari. TLR4 gene fragment of 573 bp spanning 5' UTR, exon-1 and partial intron-1 region was amplified and genotyped using the PCR-sequence based typing method. Only one SNP located at position C472T was identified. Genotyping revealed two alleles (C and T) and three genotypes: CC, CT and TT. The genotype frequencies for CC, CT and TT were 0.116, 0.326 and 0.558 and allele frequencies for C and T alleles were 0.279 and 0.721, respectively. Association study inferred that the effect of genotype on SCS, lactation yield (LY) and peak yield (PY) was non-significant however heterozygote (CT) genotypes recorded lower SCS and higher LY and PY. It can be concluded that the TLR4 gene possesses limited genetic variation, depicting polymorphism at a single locus in Indian camel breeds with a predominance of the TT genotype. The association study indicated that heterozygote animals possess better udder health and production performance, the statistical significance of which needs to be established using a large data set.
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Affiliation(s)
- Seema Bishnoi
- CVAS, Rajasthan University of Veterinary & Animal Sciences, Bikaner, Rajasthan, India
| | - Basanti Jyotsana
- ICAR - National Research Centre on Camel, Bikaner, Rajasthan, India
| | - Virendra Kumar
- CVAS, Rajasthan University of Veterinary & Animal Sciences, Bikaner, Rajasthan, India
| | - Ved Prakash
- ICAR - National Research Centre on Camel, Bikaner, Rajasthan, India
| | - Rakesh Ranjan
- ICAR - National Research Centre on Camel, Bikaner, Rajasthan, India
| | | | - Urmila Pannu
- CVAS, Rajasthan University of Veterinary & Animal Sciences, Bikaner, Rajasthan, India
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Maurić Maljković M, Vlahek I, Piplica A, Ekert Kabalin A, Sušić V, Stevanović V. Prospects of toll-like receptors in dairy cattle breeding. Anim Genet 2023. [PMID: 37051618 DOI: 10.1111/age.13325] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 03/16/2023] [Accepted: 03/21/2023] [Indexed: 04/14/2023]
Abstract
Toll-like receptors (TLRs) play an important role in mediating the immune response against various microbes, such as bacteria, viruses, parasites, and fungi, in innate and adaptive immunity. Ten functional TLRs (TLR1 to TLR10) have been identified and mapped in cattle, with each TLR recognising specific pathogen-associated molecular patterns. The variation in genes controlling the immune response contributes to susceptibility or resistance to various infectious diseases such as mastitis, bovine tuberculosis, and paratuberculosis. Identifying TLR SNPs shows promising results for future marker-assisted breeding strategies, screening for disease risks, and improving the genetic resistance of dairy cattle. This article aims not only to review the research into susceptibility or resistance to infectious diseases and milk production traits in dairy cattle but also to discuss the limitations in current studies and the prospects in dairy cattle breeding.
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Affiliation(s)
- M Maurić Maljković
- Department of Animal Breeding and Livestock Production, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - I Vlahek
- Department of Animal Breeding and Livestock Production, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - A Piplica
- Department of Animal Breeding and Livestock Production, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - A Ekert Kabalin
- Department of Animal Breeding and Livestock Production, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - V Sušić
- Department of Animal Breeding and Livestock Production, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
| | - V Stevanović
- Department of Microbiology and Infectious Diseases with Clinic, Faculty of Veterinary Medicine, University of Zagreb, Zagreb, Croatia
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MANIMARAN AYYASAMY, WANKHADE PRATIKRAMESH, KUMARESAN ARUMUGAM, PATBANDHA TAPASK, SIVARAM MUNIANDY, JEYAKUMAR SAKTHIVEL, RAJENDRAN DURAISAMY. Peripheral blood concentration of toll-like receptor-4 and its accuracy for prediction of postpartum performances of transition zebu (Bos indicus) cows. THE INDIAN JOURNAL OF ANIMAL SCIENCES 2021. [DOI: 10.56093/ijans.v91i8.115919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/13/2023]
Abstract
In this study, we evaluated the peripheral concentrations of Toll-like receptors (TLR)-4 during transition period in relation to postpartum productive and reproductive performances of Deoni (zebu) cattle. Accuracy and threshold values of TLR-4 to predict the postpartum performance, were also estimated using receiver operating characteristics (ROC) analysis. Blood samples were collected at weekly intervals during transition period (from 21 days before to 21 days after calving) and TLR-4 concentration was estimated using bovine specific ELISA kits. Plasma TLR-4 concentration was significantly higher on third day of postpartum in cows that became pregnant within breeding period than the cows that remained non-pregnant (4.48 vs 1.80 ng/mL). ROC analysis revealed that the accuracy of TLR-4 for predication of ability to become pregnant within breeding period was acceptable (AUC: 0.75) with a threshold value of 2.13 ng/mL. It is concluded that concentrations of TLR-4, during transition period, could be used for predicting the possibilities of Deoni cows getting pregnant within the breeding period with moderate accuracy.
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Jaiswal S, Jagannadham J, Kumari J, Iquebal MA, Gurjar AKS, Nayan V, Angadi UB, Kumar S, Kumar R, Datta TK, Rai A, Kumar D. Genome Wide Prediction, Mapping and Development of Genomic Resources of Mastitis Associated Genes in Water Buffalo. Front Vet Sci 2021; 8:593871. [PMID: 34222390 PMCID: PMC8253262 DOI: 10.3389/fvets.2021.593871] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2020] [Accepted: 04/30/2021] [Indexed: 12/16/2022] Open
Abstract
Water buffalo (Bubalus bubalis) are an important animal resource that contributes milk, meat, leather, dairy products, and power for plowing and transport. However, mastitis, a bacterial disease affecting milk production and reproduction efficiency, is most prevalent in populations having intensive selection for higher milk yield, especially where the inbreeding level is also high. Climate change and poor hygiene management practices further complicate the issue. The management of this disease faces major challenges, like antibiotic resistance, maximum residue level, horizontal gene transfer, and limited success in resistance breeding. Bovine mastitis genome wide association studies have had limited success due to breed differences, sample sizes, and minor allele frequency, lowering the power to detect the diseases associated with SNPs. In this work, we focused on the application of targeted gene panels (TGPs) in screening for candidate gene association analysis, and how this approach overcomes the limitation of genome wide association studies. This work will facilitate the targeted sequencing of buffalo genomic regions with high depth coverage required to mine the extremely rare variants potentially associated with buffalo mastitis. Although the whole genome assembly of water buffalo is available, neither mastitis genes are predicted nor TGP in the form of web-genomic resources are available for future variant mining and association studies. Out of the 129 mastitis associated genes of cattle, 101 were completely mapped on the buffalo genome to make TGP. This further helped in identifying rare variants in water buffalo. Eighty-five genes were validated in the buffalo gene expression atlas, with the RNA-Seq data of 50 tissues. The functions of 97 genes were predicted, revealing 225 pathways. The mastitis proteins were used for protein-protein interaction network analysis to obtain additional cross-talking proteins. A total of 1,306 SNPs and 152 indels were identified from 101 genes. Water Buffalo-MSTdb was developed with 3-tier architecture to retrieve mastitis associated genes having genomic coordinates with chromosomal details for TGP sequencing for mining of minor alleles for further association studies. Lastly, a web-genomic resource was made available to mine variants of targeted gene panels in buffalo for mastitis resistance breeding in an endeavor to ensure improved productivity and the reproductive efficiency of water buffalo.
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Affiliation(s)
- Sarika Jaiswal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Jaisri Jagannadham
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Juli Kumari
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Mir Asif Iquebal
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Anoop Kishor Singh Gurjar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Varij Nayan
- Indian Council of Agricultural Research (ICAR)-Central Institute for Research on Buffaloes, Hisar, India
| | - Ulavappa B Angadi
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Sunil Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Rakesh Kumar
- Animal Biotechnology Centre, Indian Council of Agricultural Research (ICAR)-National Dairy research Institute, Karnal, India
| | - Tirtha Kumar Datta
- Animal Biotechnology Centre, Indian Council of Agricultural Research (ICAR)-National Dairy research Institute, Karnal, India
| | - Anil Rai
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
| | - Dinesh Kumar
- Centre for Agricultural Bioinformatics, Indian Council of Agricultural Research (ICAR)-Indian Agricultural Statistics Research Institute, New Delhi, India
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Sallam AM. A missense mutation in the coding region of the toll-like receptor 4 gene affects milk traits in Barki sheep. Anim Biosci 2020; 34:489-498. [PMID: 32819071 PMCID: PMC7961266 DOI: 10.5713/ajas.19.0989] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Accepted: 06/14/2020] [Indexed: 02/07/2023] Open
Abstract
OBJECTIVE Milk production is one of the most desirable traits in livestock. Recently, the toll-like receptor (TLR) has been identified as a candidate gene for milk traits in cows. So far, there is no information concerning the contribution of this gene in milk traits in sheep. This study was designed to investigate the TLR 4 gene polymorphisms in Barki ewes in Egypt and then correlate that with milk traits in order to identify potential single nucleotide polymorphisms (SNPs) for these traits in sheep. METHODS A part of the ovine TLR 4 gene was amplified in Barki ewes, to identify the SNPs. Consequently; Barki ewes were genotyped using polymerase chain reaction-single strand conformation polymorphism protocol. These genotypes were correlated with milk traits, which were the daily milk yield (DMY), protein percentage (PP), fat percentage (FP), lactose percentage, and total solid percentage (TSP). RESULTS Age and parity of the ewe had a significant effect (p<0.05 or p<0.01) on DMY, FP, and TSP. The direct sequencing identified a missense mutation located in the coding sequence of the gene (rs592076818; c.1710C>A) and was predicted to change the amino acid sequence of the resulted protein (p.Asn570Lys). The association analyses suggested a significant effect (p<0.05) of the TLR genotype on the FP and PP, while the DMY tended to be influenced as well (p = 0.07). Interestingly, the presence of the G allele tended to increase the DMY (+40.5 g/d) and significantly (p<0.05 or p<0.01) decreased the FP (-1.11%), PP (-1.21%), and TSP (-7.98%). CONCLUSION The results of this study suggested the toll-like receptor 4 (TLR4) as a candidate gene to improve milk traits in sheep worldwide, which will enhance the ability to understand the genetic architecture of genes underlying SNPs that affect such traits.
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Affiliation(s)
- Ahmed M Sallam
- Animal and Poultry Production Division, Desert Research Center, Cairo 11735, Egypt
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El-Domany WB, Radwan HA, Ateya AI, Ramadan HH, Marghani BH, Nasr SM. Genetic Polymorphisms in LTF/EcoRI and TLR4/AluI loci as candidates for milk and reproductive performance assessment in Holstein cattle. Reprod Domest Anim 2019; 54:678-686. [PMID: 30663809 DOI: 10.1111/rda.13408] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2018] [Accepted: 01/14/2019] [Indexed: 11/29/2022]
Abstract
The aim of this study was to explore the genetic polymorphisms in LTF/EcoRI and TLR4/AluI loci and their association with milk and reproductive performance in Holstein cattle. A randomly selected 800 Holstein dairy cows from two dairy farms (400 animals each) in Egypt were used. Based on the two farm records, association between LTF/EcoRI genotypes and milk performance traits (order of lactation, daily milk yield, days in milk, corrected milk at 305 day and dry period) was carried out. Meanwhile, exploring of TLR4/AluI genotypes effect was done on data for reproductive performance (age at first freshening, calving interval, number of services per conception, ovarian rebound and days open). DNA was extracted from blood samples collected from Holstein dairy cows of the both farms and restriction analysis of 301-bp PCR products of LTF gene revealed two genotypes: AA genotype (301 bp) and AB genotype (301, 201 and 100 bp). Meanwhile, restriction analysis of 382-bp PCR products of TLR4 gene digested with AluI yielded two alleles (A and B) and three genotypes (AA, AB and BB). The A allele was indicated by two bands at 300 and 82 bp, and the B allele resulted in three fragments of 160, 140 and 82 bp. There was a significant association (p ≤ 0.05) between LTF genotypes and milk performance traits except for days in milk. The TLR4 genotypes had significant effects (p ≤ 0.05) on age at first freshening, calving interval, number of services per conception, ovarian rebound and days open. Ordinal logistic regression statistical model also revealed that it is possible to calculate high reproductive performance traits and to predict favourable dairy cows based on LTF and TLR4 genotypes. This research reveals the effectiveness of LTF/EcoRI and TLR4/AluI loci as candidates for reproductive performance assessment in Holstein cattle.
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Affiliation(s)
- Wael B El-Domany
- Department of Theriogenology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Hend A Radwan
- Department of Animal Husbandry and Wealth Development, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Ahmed I Ateya
- Department of Animal Husbandry and Wealth Development, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Hazem H Ramadan
- Department of Hygiene and Zoonoses, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Basma H Marghani
- Department of Physiology, Faculty of Veterinary Medicine, Mansoura University, Mansoura, Egypt
| | - Sherif M Nasr
- Department of Animal Husbandry and Wealth Development, Faculty of Veterinary Medicine, Damanhour University, Damanhour, Egypt
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Abstract
The objective of this Research Communication was to use polymerase chain reaction-single stranded conformational polymorphism (PCR-SSCP) analysis to investigate a region of the bovine TLR4 gene (TLR4) in pasture-fed New Zealand (NZ) Holstein-Friesian × Jersey (HF × J) cross dairy cows and to determine whether gene variation was associated with milk production traits. Genetic variation was observed, with two variants (A and B) containing a single nucleotide polymorphism (SNP) (c.2021C/T) that was non-synonymous and putatively results in a p.Thr674Ile substitution in the transmembrane/cytoplasmic domain of TLR4. Variant A was associated with higher milk yields, but lower milk fat percentages, whereas B was associated with lower milk yields, but higher fat and protein percentages. Cows of genotype AA produced more milk than AB or BB cows, but the milk produced by AA cows contained less fat than AB or BB cows.
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Mishra C, Kumar S, Panigrahi M, Yathish HM, Chaudhary R, Chauhan A, Kumar A, Sonawane AA. Single Nucleotide Polymorphisms in 5' Upstream Region of Bovine TLR4 Gene Affecting Expression Profile and Transcription Factor Binding Sites. Anim Biotechnol 2017; 29:119-128. [PMID: 28594279 DOI: 10.1080/10495398.2017.1326929] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
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.
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Affiliation(s)
- Chinmoy Mishra
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Subodh Kumar
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Manjit Panigrahi
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - H M Yathish
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Rajni Chaudhary
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Anuj Chauhan
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Amit Kumar
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
| | - Arvind A Sonawane
- a Department of Animal Genetics , Indian Veterinary Research Institute , Uttar Pradesh , India
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Mishra C, Kumar S, Yathish H. Predicting the effect of non synonymous SNPs in bovine TLR4 gene. GENE REPORTS 2017. [DOI: 10.1016/j.genrep.2016.11.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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