Evaluation of candidate genotype of immune gene MBL1 associated with udder health and performance traits in dairy cattle and buffalo of India

Kamaldeep,; Magotra, Ankit; Pander, B. L.; Dalal, D. S.; Malik, B S; Garg, Asha Rani; Malik, Anika

doi:10.1007/s11250-021-02865-2

Cited by 8 publications

(5 citation statements)

References 19 publications

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“…From the standpoint of general MAS strategy, noteworthy are the studies on genes, the products of which are directly associated with the regulation of the immune system of the organism and, thus, with the indices of resistance/sensitivity to different diseases (Al-Sharif et al, 2023). As for cattle genetics, in the context of issues of resistance to diseases, some of the best-investigated genes relevant for the study are the TLR-family (the family of toll-like receptors) (Mazzone et al, 2023;Maljković 2023), IFNGR2 (Muthusamy et al, 2019;Holder et al, 2020), TNFα (Sattar et al, 2019), and MBL1 (Aksel et al, 2021;Kamaldeep et al, 2021;Moretti et al, 2021). For example, associations between different allelic variants of genes in the TLR gene family and the resistance of individuals from various cattle breeds to paratuberculosis, tuberculosis, and mastitis have been studied Bartens et al, 2021;.…”

Section: Introductionmentioning

confidence: 99%

Gene polymorphism in a population of Charolais beef cattle using DNA-markers

Kulibaba,

Liashenko,

Kulibaba

et al. 2024

Agric. sci. pract.

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Aim. To study the polymorphism of genes, associated with resistance to different diseases (TLR1, TLR4, SLC11A1, TLR1, TLR4, IFNGR2, SLC11A1, TNFα, and MBL1) in the population of Charolais beef cattle. Methods. The studies were conducted using the methods of polymerase chain reaction and the restriction fragment length polymorphism (PCR-RFLP); the artificially created restriction site-PCR (ACRS-PCR) was used to study the polymorphism of gene MBL1. Results. In the population (n = 100) of Charolais cattle, genes TLR1, IFNGR2, SLC11A1, TNFα, and MBL1 were polymorphic, while TLR4 was found to be monomorphic by three mutant variants (8732G>A, 8834G>C, and 2021C>T). BclI-polymorphism of the first exon was used to determine the excess of heterozygous animals (81.8 %); there were no animals homozygous by allele A. By polymorphism of locus SLC11A1 for SNP6 (7808A>T), we deter- mined complete domination of the frequency of allele A over T (0.985 vs 0.015), no animals, homozygous by allele TT, were found. As for SNP5 7400C>G, there were no animals homozygous for allele G; the ratio of alleles C and G was 0.79 and 0.21, respectively. By locus IFNGR2 (1008A>G), we determined the prevalence of the frequency of al- lele A over G (0.745 vs 0.255); the animals with genotype AA were the most common. As for gene TNFα (–824A>G), we determined a two-fold prevalence of the frequency of allele G over A due to a higher number of animals with geno- type GG (39 %). Some 50 % of the animals were heterozygous for this gene.By locus MBL1,we found the prevalence of the frequency of allele G (StyI-) as compared to A (StyI+) due to a considerable number of homozygous animals GG (64 %). The percentage of homozygous animals was 37.8 %. Conclusions. General characteristics of genetic variability of the Charolais beef cattle population were determined for the loci TLR1, TLR4, IFNGR2, SLC11A1, TNFα, and MBL1. As for SNP6 7808A>T of locus SLC11A1, we have determined the final stage of allele A fixation, by the results of which the gene will become completely monomorphic by this mutation. The results of the analysis of the ratio between the frequencies of alleles and genotypes by the revealed polymorphic markers demonstrated that it is unreasonable to use animals with different allelic variants of genes TLR1, IFNGR2, SLC11A1 in further studies on the search for associations with the manifestation of economically valuable traits in Charolais beef cows of the experimental population due to insufficient number of animals with different genotypes. For loci TNFα and MBL1, we found enough animals with different genotypes to conduct further association studies. The deviation from the genetic Hardy-Weinberg equilibrium was observed for the loci TLR1, SLC11A1 (7400C>G), and MBL1 in the population.

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Section: Introductionmentioning

confidence: 99%

Gene polymorphism in a population of Charolais beef cattle using DNA-markers

Kulibaba,

Liashenko,

Kulibaba

et al. 2024

Agric. sci. pract.

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“…The global economy depends substantially on the production of cattle, and the sustainability and profitability of the dairy industry are directly impacted by the improvement of production and reproductive traits and variables that influence the health and productivity of cattle (Pushpa et al, 2024). These traits are often negatively correlated, and impacted by a myriad of factors, which can be broadly divided into genetic (heredity and individual's genetic makeup) and environmental components (climate, management strategies and overall surroundings), necessitating identification and consideration in breeding programmes (Magotra et al, 2019;Magotra et al, 2020;Yadav et al, 2021;Kamaldeep Magotra et al, 2021;Pushpa et al, 2024). The demand for premium animal protein products, especially milk, is anticipated to increase significantly due to projections of a global population expansion, highlighting the importance of confronting this challenge (de Almeida, 2018;Magotra et al, 2015Magotra et al, , 2018.…”

Section: Introductionmentioning

confidence: 99%

Estimation of maternal and additive effect on reproduction and productive traits in Hardhenu cattle

Yadav,

Malik,

Magotra

et al. 2024

Reprod Domestic Animals

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The study aimed to assess performance traits in Hardhenu cattle by analysing data from 445 animals born to 59 sires and 227 dams. The investigation focused on estimating (co)variance components and genetic parameters for reproduction and production traits in dairy cattle. Results from least‐squares analysis indicated a significant effect (p < .01) of the period of calving (POC) on key production traits, including first lactation milk yield (FLMY), 300‐day milk yield (FLMY300), first peak yield (FPY) and total lactation milk yield (TLMY) in studied population. The least squares means for these traits were reported as follows: FLMY (2665.68 ± 45.66 kg), FLMY300 (2425.52 ± 34.41 kg), FLL (312.95 ± 3.83 days), FPY (11.52 ± 0.15 kg) and TLMY (9282.44 ± 167.03 kg) in Hardhenu cattle. In the studied population, only additive genetic variability was found to be present and there was absence of any significant maternal effect with respect to targeted traits in the resource population. Direct heritability estimates (h2) for FLMY, FLMY300, FLL, FPY, TLMY and other traits ranged from 0.03 to 0.41 in Hardhenu cattle. These findings offer valuable insights into the genetic factors influencing performance traits, contributing to the enhancement of breeding and management practices in Hardhenu cattle.

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“…Understanding clinical mastitis determinants is pivotal for effective prevention and management strategies. Factors such as parity (Sebastino et al, 2020), calving season (Ibtisam & El Owni, 2006; Saravanan et al, 2015), and period have been linked to udder infection (Kamaldeep et al, 2021; Magotra et al, 2019; Ranjan et al, 2011). Clinical mastitis, beyond economic impacts, carries implications for animal welfare (Firth et al, 2021) and antimicrobial resistance (Cooper & Okello, 2021; Kromker & Leimbach, 2017; Lloyd & Page, 2018; Pulingam et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Impact of temporal variations and risk factors associated with udder inflammation in Hardhenu cattle (Bos taurus × Bos indicus)

Pushpa,

Magotra,

Kamaldeep

et al. 2023

Reprod Domestic Animals

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This study aimed to explore the occurrence and risk factors associated with clinical mastitis within the Hardhenu cattle herd over a span of 14 years (2008–2021). A comprehensive analysis of 1515 lactation records was conducted to ascertain the incidence of clinical mastitis. The investigation determined an overall incidence rate of 26.80% in the studied population. A significant relationship between the year and clinical mastitis incidence was established through Chi‐square analysis (p < .05). Temporal variations in clinical mastitis odds were apparent, with the highest odds (ranging from 0.91 to 1.00) observed during the initial years of 2008–2009 and 2009–2010. Logistic regression revealed that odds values for clinical mastitis incidence were highest in 2008–2009 (1.00), succeeded by 2009–2010 (0.91), 2012–2013 (0.88), 2018–2019 (0.67) and reaching the lowest in 2021–2022 (0.35). Subsequent rankings included 2010–2011 (0.39), 2014–2015 (0.43) and 2019–2020 (0.45). Parity was found to be significantly associated with clinical mastitis occurrence. When compared to Parity 3, both Parity 1 (odds ratio: 1.516, 95% confidence interval: 0.881–2.612) and Parity 2 (odds ratio: 2.626, 95% confidence interval: 1.568–4.398) exhibited higher odds values for clinical mastitis incidence. While the period of calving did not exert a significant influence on clinical mastitis incidence, a heightened occurrence was observed during the rainy season within the targeted population. These findings offer valuable insights into the patterns of incidence, temporal fluctuations, and non‐genetic determinants impacting clinical mastitis within the Hardhenu cattle. The implications of this study can facilitate the development of targeted strategies and management protocols aimed at enhancing udder health and overall productivity in dairy cattle.

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Evaluation of candidate genotype of immune gene MBL1 associated with udder health and performance traits in dairy cattle and buffalo of India

Cited by 8 publications

References 19 publications

Gene polymorphism in a population of Charolais beef cattle using DNA-markers

Gene polymorphism in a population of Charolais beef cattle using DNA-markers

Estimation of maternal and additive effect on reproduction and productive traits in Hardhenu cattle

Impact of temporal variations and risk factors associated with udder inflammation in Hardhenu cattle (Bos taurus × Bos indicus)

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