scholarly journals Study association of bPRL (Bovine Prolactin) gene and milk production trait in Indonesian Holstein dairy cattle

2021 ◽  
Vol 902 (1) ◽  
pp. 012007
Author(s):  
B Hifni ◽  
G Pambuko ◽  
R E P Lestari ◽  
N Herowati ◽  
R Vanessa ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Milk Production Trait ◽  
Production Traits ◽  
Product Size ◽  
Pcr Product ◽  
Prolactin Gene ◽  
Pcr Rflp ◽  
Genotype Difference ◽  
Study Association

Abstract This study was aimed to analyze the genetic variation of bPRL (Bovine Prolactin) gene and its association to milk production in Indonesian Friesian Holstein (IFH) dairy cattle. In total 49 DNA from whole blood were extracted and followed with PCR-RFLP to distinguish the genotype difference between individual samples. The fragment of bPRL gene was amplified using pair of primer forward 5’-GAGTCCTTATGAGCTTGATTCTT-3’ and reverse 5’-GCCTTCCAGAAGTCGTTTGTTTTC-3’, resulting in 156 bp PCR product size. DNA digestion then performed using RsaI restriction enzyme that recognizes 5’-GT↓AC-3’ sites with blunt-end termini. According to the study, two genotypes were discovered that are AA and AB, with respective frequencies of 0.84 and 0.16. Based on the genotype grouping of milk production data, AB genotype yielded 4016.63±1344 kg while AA genotype yielded 3314.32±1153 Kg of milk per lactation. However, there is no statistical (P>0,05) difference between both genotypes on the amount of milk yielded. It is concluded that bPRL gene was not associated with milk production traits in the studied Indonesian Dairy Cattle population.

scholarly journals Association of genetic variants of bovine <i>prolactin</i> with milk production traits of Black-and-White and Jersey cattle

2005 ◽  
Vol 48 (2) ◽  
pp. 149-156 ◽  
Author(s):  
A. Dybus ◽  
W. Grzesiak ◽  
H. Kamieniecki ◽  
I. Szatkowska ◽  
Z. Sobek ◽  
...  
Keyword(s):  
Milk Production ◽  
Production Traits ◽  
Milk Production Traits ◽  
Black And White ◽  
Jersey Cattle ◽  
Prolactin Gene ◽  
Pcr Rflp ◽  
Rsai Polymorphism ◽  
White Cattle ◽  
Jersey Cows

Abstract. Associations between polymorphism localised in the third exon of the prolactin gene (PRL-RsaI) and milk xproduction traits of Black-and-White and Jersey cattle were analysed. A total of 427 cows were included in the study. PCR-RFLP method was used. The frequencies of genotypes and alleles were as follows: 0.7107 – AA, 0.2851 – AB, 0.0042 – BB; 0.8533 – PRLA and 0.1467 – PRLB for Black-and-White cattle and 0.0919 – AA, 0.4324 – AB, 0.4757 – BB; 0.3081 – PRLA and 0.6919 – PRLB for Jersey cattle. Statistically significant differences between the breeds were observed in the frequencies of genotypes and alleles. Associations between PRL-RsaI polymorphism and milk production traits of Jersey cows and lack of associations with these traits in Black-and-White cows were observed.

scholarly journals Associations among milk production traits and glycosylated haemoglobin in dairy cattle; importance of lactose synthesis potential

2009 ◽  
Vol 34 (1) ◽  
pp. 1-9 ◽  
Author(s):  
Homayon Reza Shahbazkia ◽  
Mahmoud Aminlari ◽  
Atoosa Tavasoli ◽  
Ahmad Reza Mohamadnia ◽  
Alfredo Cravador
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Glycosylated Haemoglobin ◽  
Production Traits ◽  
Milk Production Traits ◽  
Lactose Synthesis

Genetic Polymorphism in Prolactin Gene and its Effect on Test Day Milk Production Traits in Sahiwal Cattle

2021 ◽  
Author(s):  
T. Karuthadurai ◽  
A.K. Chakravarty ◽  
A. Kumaresan ◽  
D.N. Das ◽  
A. Sakthivel Selvan ◽  
...  
Keyword(s):  
Genetic Polymorphism ◽  
Milk Production ◽  
Milk Yield ◽  
Early Stage ◽  
Direct Sequencing ◽  
Production Performance ◽  
Prolactin Gene ◽  
Pcr Rflp ◽  
Sahiwal Cattle ◽  
Fat Yield

Background: The selection of genetically superior animals at an early stage of life, the molecular markers are used along with traditional selection. The study was carried out to identify the genetic polymorphism in the exon3 region of the Prolactin and enumerate its effect on milk production performance in Sahiwal cattle. Prolactin plays an imperative regulatory role in mammary gland development, milk emission and lactogenesis. Analysed the sequence of this gene to explore whether mutations in this sequence and it could be accountable for quantitative variations in milk production and its composition traits.Methods: Total DNA was isolated from the blood samples of 98 pedigreed Sahiwal population. Using PCR-RFLP method and direct sequencing, noticed a single-nucleotide polymorphism in exon3 region of the Prolactin gene in 156bp and also the effect of non- genetic factors on each trait was assessed by least-squares analysis for non-orthogonal data by a fixed model.Result: PCR-RFLP was done with RsaI restriction endonuclease for the identification of different genotypes. The frequency of G and A alleles of the Prolactin gene was evaluated as 0.575 and 0.425, whereas the frequencies of GG, GA and AA genotypes for the Prolactin gene were 0.45, 0.25 and 0.30, respectively. SNP (G55A) conferred an increase in test-day milk yield around 321.5g, in test day fat yield around 13.9g and in test day SNF yield increase was 19.4g, respectively. High correlation was perceived from test day (TD2) onwards between test day traits and lactation milk yield indicating that selection based on identified SNP in TD2 increased test day milk yield, fat yield and SNF yield by 1.1472 kg, 29.6gm and 45.4gm, respectively.

167 Genetic and genomic estimation for somatic cell score in relation with milk production traits of Russian Holstein dairy cattle

2017 ◽  
Vol 95 (suppl_4) ◽  
pp. 82-83 ◽  
Author(s):  
A. A. Sermyagin ◽  
E. A. Gladyr' ◽  
A. A. Kharzhau ◽  
K. V. Plemyashov ◽  
E. N. Tyurenkova ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Somatic Cell ◽  
Milk Production ◽  
Somatic Cell Score ◽  
Production Traits ◽  
Milk Production Traits

scholarly journals Confirmed effects of candidate variants for milk production, udder health, and udder morphology in dairy cattle

2020 ◽  
Vol 52 (1) ◽  
Author(s):  
Thierry Tribout ◽  
Pascal Croiseau ◽  
Rachel Lefebvre ◽  
Anne Barbat ◽  
Mekki Boussaha ◽  
...  
Keyword(s):  
Dairy Cattle ◽  
Candidate Genes ◽  
Milk Production ◽  
Association Studies ◽  
Genome Wide Association Studies ◽  
Nucleotide Polymorphisms ◽  
Production Traits ◽  
Milk Production Traits ◽  
Udder Health ◽  
Gwas Approach

Abstract Background Over the last years, genome-wide association studies (GWAS) based on imputed whole-genome sequences (WGS) have been used to detect quantitative trait loci (QTL) and highlight candidate genes for important traits. However, in general this approach does not allow to validate the effects of candidate mutations or determine if they are truly causative for the trait(s) in question. To address these questions, we applied a two-step, within-breed GWAS approach on 15 traits (5 linked with milk production, 2 with udder health, and 8 with udder morphology) in Montbéliarde (MON), Normande (NOR), and Holstein (HOL) cattle. We detected the most-promising candidate variants (CV) using imputed WGS of 2515 MON, 2203 NOR, and 6321 HOL bulls, and validated their effects in three younger populations of 23,926 MON, 9400 NOR, and 51,977 HOL cows. Results Bull sequence-based GWAS detected 84 QTL: 13, 10, and 30 for milk production traits; 3, 0, and 2 for somatic cell score (SCS); and 8, 2 and 16 for udder morphology traits, in MON, NOR, and HOL respectively. Five genomic regions with effects on milk production traits were shared among the three breeds whereas six (2 for production and 4 for udder morphology and health traits) had effects in two breeds. In 80 of these QTL, 855 CV were highlighted based on the significance of their effects and functional annotation. The subsequent GWAS on MON, NOR, and HOL cows validated 8, 9, and 23 QTL for production traits; 0, 0, and 1 for SCS; and 4, 1, and 8 for udder morphology traits, respectively. In 47 of the 54 confirmed QTL, the CV identified in bulls had more significant effects than single nucleotide polymorphisms (SNPs) from the standard 50K chip. The best CV for each validated QTL was located in a gene that was functionally related to production (36 QTL) or udder (9 QTL) traits. Conclusions Using this two-step GWAS approach, we identified and validated 54 QTL that included CV mostly located within functional candidate genes and explained up to 6.3% (udder traits) and 37% (production traits) of the genetic variance of economically important dairy traits. These CV are now included in the chip used to evaluate French dairy cattle and can be integrated into routine genomic evaluation.

scholarly journals Effects of the Osteopontin Gene Variants on Milk Production Traits in Dairy Cattle

2005 ◽  
Vol 88 (11) ◽  
pp. 4083-4086 ◽  
Author(s):  
S. Leonard ◽  
H. Khatib ◽  
V. Schutzkus ◽  
Y.M. Chang ◽  
C. Maltecca
Keyword(s):  
Dairy Cattle ◽  
Milk Production ◽  
Gene Variants ◽  
Production Traits ◽  
Milk Production Traits

Association of genetic variants of the prolactin gene with milk production traits in Russian Red Pied cattle

2007 ◽  
Vol 2007 ◽  
pp. 156-156 ◽  
Author(s):  
Masoud Alipanah ◽  
Lobov Kalashnikova ◽  
Genadi Rodionov
Keyword(s):  
Genetic Marker ◽  
Regulatory Function ◽  
Cdna Clones ◽  
Production Traits ◽  
Coding Region ◽  
Nucleotide Substitutions ◽  
Prolactin Gene ◽  
Pcr Rflp ◽  
Rsai Polymorphism

Prolactin plays an important regulatory function in mammary gland development, milk secretion, and expression of milk protein genes. Hence the PRL gene is a potential genetic marker of production traits in dairy cattle. The gene was mapped on chromosome 23 by Hallerman et al. (1988). It consists of 5 exons and four introns (Camper et al. 1984) encoding the 199-amino-acid mature protein (Wallis 1974). On the basis of sequence analysis of four different cDNA clones, seven possible nucleotide substitutions were described by Sasavage et al. (1982). One of them, recognized by RsaI endonuclease, has become a popular genetic marker used for genetic characterization of cattle populations by means of PCR-RFLP (Mitra et al., 1995). Two allelic variants (B and b) have been distinguished at the DNA level, based on RsaI polymorphism in the third exon of the coding region. It has been suggested that prolactin alleles correlate with milk yield (Lewin et al., 1992).

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