Literature DB >> 32671121

Detection of Single-Nucleotide Polymorphism in AGPAT6 Gene, Associated with Milk Fat Content, using Tetra-Primer ARMS PCR-Based Assay, in Karan Fries Breeding Bulls.

Arpan Upadhyay1, Atish Kumar Chakravarty2, Sachinandan De3, Ashok Kumar Gupta2, Avtar Singh2, A Sakthivel Selvan4.   

Abstract

BACKGROUND: The bovine AGPAT6 gene is one of the potential candidate genes governing milk fat synthesis.
OBJECTIVES: Identification of single nucleotide polymorphisms (SNP) in the targeted region of AGPAT6 gene and their effect on expected breeding values (EBV) of first lactation milk production traits viz. fat %, fat yield and 305 days milk yield in Karan Fries (KF) breeding bulls were sought.
MATERIALS AND METHODS: A tetra-primer ARMS PCR technique was adapted to genotype an SNP, g.36,175,805C>T located on 5' flanking region of AGPAT6 gene. The relationship between EBV of milk production traits and polymorphic locus of AGPAT6 gene was assessed.
RESULTS: Three kinds of genotype (CC, CT, and TT) with respect to g.36,175,805C>T SNP locus were observed. The identified SNP had significant (P<0.05) influence on EBV of fat % (EBV-FP). The KF bulls with CC and CT genotype had comparatively higher EBV-FP than the bulls with the TT genotype. The substitution of "C" allele by "T" allele led to a decrease of 0.0045 % in the EBV-FP.
CONCLUSION: The identified SNP was significantly associated with EBV-FP, thus it may be utilized as a molecular marker for developing marker-assisted selection strategy to enhance the milk fat content in KF cattle population. Copyright:
© 2019 The Author(s); Published by Iranian Journal of Biotechnology.

Entities:  

Keywords:  Allele substitution effect; AGPAT6 gene ; Karan Fries bulls; Milk fat content; SNP; T-ARMS PCR

Year:  2019        PMID: 32671121      PMCID: PMC7357699          DOI: 10.30498/IJB.2019.102188

Source DB:  PubMed          Journal:  Iran J Biotechnol        ISSN: 1728-3043            Impact factor:   1.671


1. Background

Milk fat content is an important economic trait and has received major emphasis among the milk constituents in dairy breed improvement programs. It follows the quantitative inheritance pattern and is governed by a large number of genes at the molecular level. The single nucleotide polymorphisms (SNPs) in candidate genes governing the milk fat synthesis have largely been studied as they may be utilized as molecular markers for developing marker-assisted selection strategy for early evaluation of animals. Milk fatty acid synthesis is a complex process and involves sequential esterification of the glycerol chain catalyzed by a variety of acyltransferases ( 1 ). The sn-1-acylglycerol-3- phosphate-O- acyltransferases (AGPATs) enzymes play a crucial role in milk fat synthesis by catalyzing an intermediary step of esterification at the sn-2 position of glycerol-3-phosphate ( 1 - 3 ). A total of 11 isoforms of AGPATs are known in human beings, each of which is encoded by independent genes ( 4 , 5 ). However, the AGPAT6 is the most abundant isoform in bovine mammary glands ( 6 ). The AGPAT6 has also been recognized as microsomal glycerol-3-phosphate acyltransferase (GPAT) and renamed as GPAT4 ( 7 , 8 ). Bovine AGPAT6 gene is located on Bos taurus autosome 27 (BTA-27), comprising 14 exons and spans about 30965 base pair in length (https://www.ncbi.nlm.nih.gov/gene/511614). At the cellular level, the expression of AGPAT6 was found to be strongly up-regulated during lactation ( 3 , 6 ). Knockout of the AGPAT6 gene in mice produces animals with underdeveloped alveoli and ducts of mammary glands, and the milk from double knockout animals is markedly depleted in diacylglycerols and triacylglycerols ( 3 ). In few studies conducted in taurine cattle, the AGPAT6 gene has been reported as one of the potential candidate genes, and SNPs located especially in 5’ flanking and promoter regions of AGPAT6 gene were highly significantly associated with milk fat content ( 9 - 12 ). However, reports on genetic polymorphisms in AGPAT6 gene are largely limited and no previous report is available on AGPAT6 gene polymorphism in indigenous cattle breeds.

2. Objectives

The present study was conducted to identify SNPs in 5’ flanking region of AGPAT6 gene in Karan Fries (KF) breeding bulls and to assess their effect on breeding values of first lactation milk production traits viz. fat %, fat yield and 305 days milk yield.

3. Materials and Methods

3.1. Data Source

The present study was carried out on KF cattle kept under progeny testing program at National Dairy Research Institute (NDRI), Karnal, Haryana, India. The KF is an Inter se mating is the mating of individuals with same level of genetic inheritance. Such as mating of individuals of first filial generation (F1) that produces second filial generation (F2) is inter se mating. crossbred population developed as a milch breed by crossing Holstein Friesian (B. taurus) and Tharparkar (B. indicus) cattle at NDRI farm. The geographic location of NDRI livestock farm is at an altitude of 250 meters above mean sea level in the Indo-Gangetic Alluvial Plains on 29.7014° N latitude and 76.9848° E longitude. Cows were provided with ad libitum feeding refers to offering a feed to animals as much as they desire, rather than putting any restriction on feeding. seasonal green fodder and roughages, and an additional amount of 1.0 kg concentrate mixture (20 % CP and 3400 kcal/kg DE) for every 2.5 kg milk produced above 5.0 kg daily milk yield.

3.2. Phenotypic Information

11,569 first lactation monthly test day milk production records of 1394 KF cows, sired by 120 KF bulls and calved between 1989 and 2014 were analyzed in the present study. Milk production data on 305 days milk yield and monthly test day milk fat % were collected. Cows those had produced milk for at least 100 days and more than 500 kg, and had first test day record before 65 days after calving in their first lactation, were included in the study. All the test day fat % records of each cow were averaged (weighted arithmetic mean) to obtain average first lactation milk fat %. First lactation fat yield was estimated by the formulae, first lactation fat yield (kg) = (average fat % × 305 days milk yield in kg)/100. Expected breeding values (EBVs) of all 120 KF bulls for first lactation traits viz. fat %, fat yield and 305 days milk yield (symbolized as EBV-FP, EBV-FY, and EBV-305dMY, respectively) were estimated based on daughters performance by a multivariate BLUP-Animal model using Wombat software package ( 13 ). The animal model used for the analysis was as follows: Yijklm = μ + Yri + Sj + AGk + SLl + Am + eijklm where, Yijklm: observation on mth animal; μ: overall mean; Yri: fixed effect of ith year of calving (1989 to 2014); Sj: fixed effect of jth season of calving (winter, summer, rainy and autumn); AGk: fixed effect of kth age at first calving group (≤30, 31-36 and ≥37 months); SLl: fixed effect of lth stage of lactation (<90, 91-180, >180 days); Am: random effect of mth animal; and eijklm: random error, NID (0, σe2).

3.3. DNA Extraction and Genotyping

Genomic DNA was isolated from the frozen semen straws of 56 KF bulls, amongst the 120 bulls whose breeding values were estimated. Three mini semen straws (0.25 mL) from each bull were used for DNA isolation and the protocol used for DNA isolation involved two steps: Lysis and extraction. Lysis of spermatozoa was done as per Hossain et al. ( 14 ) with some modifications while the extraction step was done using a standard Phenol Chloroform extraction. The SNP, g.36,175,805C>T (db SNP id: rs110878096), located on 5’ flanking region of AGPAT6 gene (NCBI Reference Sequence: AC_000184.1, https://www.ncbi. nlm.nih.gov/nuccore/AC_000184.1?report=genbank) was genotyped using Tetra-Primer Amplification Refractory Mutation System Polymerase Chain Reaction (T-ARMS PCR) technique. Primers were designed using Primer 1 software. The sequence of primers used in the present study was as follows: outer forward, 5’-AATCAGGCTCTAGAAGCACAGGTGAATT-3’; outer reverse, 5’-AGGCTAGAACTCACACAACTGCAAAGAG-3’; inner forward, 5’-TGGTCCTGAAAATTTCAAAATTGTACAC-3’; and inner reverse, 5’-CAGGTGCCTGGATTGCTTTAATCGAA -3’. The expected polymerase chain reaction (PCR) fragment size for g.36,175,805 C>T mutation were 168 bp for C allele, 131 bp for T allele, and 246 bp for the common outer fragment. The PCR was performed in a total volume of 25 μL containing approximately 100 ng DNA, 2.5 μL of 10X buffer, 2 mM of MgCl2, 0.2mM dNTPs, 10 pM of each of outer and inner pair of primer and 1 U of Taq Polymerase (Sigma-Aldrich, USA). The amplification conditions (Touchdown reactions) were: Initial denaturation at 95 °C for 2 minutes, 5 cycles of denaturation at 95 °C for 15 seconds, with annealing temperature of 60 °C for the first cycle, decreasing by 1 °C per cycle until annealing temperature of 56 °C was reached for 15 seconds and extension at 72 °C for 20 seconds, followed by 25 cycles of denaturation at 95 °C for 15 seconds, with annealing temperature of 55 °C for 15 seconds and extension at 72 °C for 20 seconds, and final extension at 72 °C for 5 minutes. The accuracy and efficiency of the T-ARMS PCR assay were evaluated by DNA sequencing (M/s. First BASE Laboratories Sdn Bhd, Seri Kembangan, Selangor, Malaysia) of 246 bp outer band product of three samples for each genotype.

3.4. Statistical Analysis

The allelic and genotypic frequencies and their accordance with Hardy-Weinberg equilibrium were studied using POPGENE software package ( 15 ). The relationship between EBV of milk production traits and polymorphic locus of AGPAT6 gene was analyzed by GLM procedure of SAS 9.3 (Statistical Analysis System Institute Inc., Cary, NC, USA) using the following model: Y where, Yijk: EBV-FP, EBV-FY and EBV-305dMY of kth bull; μ: overall mean; Gi : fixed effect of ith genotype; Srj : fixed effect of jth sire; and eijk : random error, NID (0, σe2). The allele substitution effect of polymorphic locus of AGPAT6 genes was estimated by GLM procedure of SAS 9.3 using the following model: Y where, Yij: EBV of jth bull; μ: overall mean; SNPi: number of copies of 1 allele of SNP (corresponding to 0, 1 and 2 copies) carried by jth bull; β: regression coefficient for the SNP considered (also known as allele substitution effect); and eij: random error, NID (0, σe2)

4. Results

4.1. SNP Genotyping

Genotype profiling of KF breeding bulls revealed three kinds of genotype viz. CC (168 and 246 bp), CT (168, 131 and 246 bp) and TT (131 and 246 bp) with respect to SNP locus, g.36,175,805C>T (Fig. 1). The presence of SNP scored using T-ARMS PCR assay was further confirmed by sequencing the outer band product (246 bp) of each genotype. It indicated that the genotypes scored by the assay were 100 % similar to the DNA sequencing. The chromatogram representing respective genotypes is depicted in Figure 2.
Figure 1

Agarose gel electrophoresis of the tetra-primer ARMS PCR based assay products of identified SNP, g.36,175,805C>T in Karan Fries bulls Lane 1, 3,4,5,6,10,11 and 12, TT genotype (131 and 246 bp); lane 2, CC genotype (168 and 246 bp); lane 7-9, CT genotype (168, 131 and 246 bp); lane M 100-bp marker ladder

Figure 2

Chromatogram showing CC, CT and TT genotypes with respect to the SNP locus, g.36,175,805C>T in AGPAT6 gene in Karan Fries bulls

Agarose gel electrophoresis of the tetra-primer ARMS PCR based assay products of identified SNP, g.36,175,805C>T in Karan Fries bulls Lane 1, 3,4,5,6,10,11 and 12, TT genotype (131 and 246 bp); lane 2, CC genotype (168 and 246 bp); lane 7-9, CT genotype (168, 131 and 246 bp); lane M 100-bp marker ladder Chromatogram showing CC, CT and TT genotypes with respect to the SNP locus, g.36,175,805C>T in AGPAT6 gene in Karan Fries bulls

4.2. Test of Hardy-Weinberg Equilibrium

The allele and genotype frequencies and the chi-square test for Hardy-Weinberg equilibrium for the SNP locus, g.36,175,805C>T of the AGPAT6 gene are presented in Table 1. The frequencies of C and T alleles were 0.2 and 0.8; and the frequencies of CC, CT, and TT genotypes were 0.07, 0.25 and 0.68, respectively. The results of the chi-square test revealed that the KF bull population was in Hardy-Weinberg equilibrium.
Table 1

Allele and genotype frequency, and chi-square test for Hardy-Weinberg equilibrium for the SNP locus, g.36,175,805C>T of the AGPAT6 gene in Karan Fries bulls

Allele frequencyGenotype frequencyChi-square (χ2) valueP-valueInterpretation
C0.2CC0.07 (4) 2.700.10NSH-W Equilibrium
T0.8 CT0.25 (14)
TT0.68 (38)
Total56

Figures in parenthesis indicate number of observations

Allele and genotype frequency, and chi-square test for Hardy-Weinberg equilibrium for the SNP locus, g.36,175,805C>T of the AGPAT6 gene in Karan Fries bulls Figures in parenthesis indicate number of observations

4.3. Association Analysis

The EBV-FP, EBV-FY, and EBV-305dMY of KF bulls with respect to different genotypes are presented in Table 2. It revealed that SNP locus, g.36,175,805C>T had significant (P<0.05) influence on EBV-FP. The KF bulls with CT genotype followed by CC genotype had comparatively higher EBV-FP than the bulls with the TT genotype. However, the EBV-FY and EBV-305dMY didn’t vary significantly with respect to different genotypes (Table 2).
Table 2

Mean expected breeding values of milk production traits with respect to different genotypes of SNP locus, g.36,175,805C>T of AGPAT6 gene in Karan Fries bulls

EffectNEBV-FP (%)EBV-FY (kg)EBV-305dMY (kg)
Overall564.197 ± 0.005129.216 ± 3.1753083.049 ± 64.013
CC44.196 ± 0.014a127.214 ± 9.3193042.865 ± 187.872
CT144.207 ± 0.007a131.022 ± 4.2733127.117 ± 86.141
TT384.187 ± 0.003b129.412 ± 2.1313079.165 ± 42.956

EBV-FP: expected breeding value of milk fat %, EBV-FY: expected breeding value of fat yield, EBV-305dMY: expected breeding value of 305 days milk yield

Means bearing different superscripts between rows within column differ significantly (P<0.05)

Mean expected breeding values of milk production traits with respect to different genotypes of SNP locus, g.36,175,805C>T of AGPAT6 gene in Karan Fries bulls EBV-FP: expected breeding value of milk fat %, EBV-FY: expected breeding value of fat yield, EBV-305dMY: expected breeding value of 305 days milk yield Means bearing different superscripts between rows within column differ significantly (P<0.05) The allele substitution effect of SNP locus, g.36, 175, 805C>T was also analyzed and is depicted in Table 3. It revealed that substitution of “C” allele of AGPAT6 by “T” allele led to a significant (P<0.05) decrease of 0.0045 % of in the EBV-FP. The allele substitution effect was not significant for EBV-FY and EBV-305dMY.
Table 3

Allele substitution effect (α) of g.36,175,805C>T SNP locus of AGPAT6 gene on expected breeding values of milk production traits in Karan Fries bulls

TraitαSEP-value
EBV-FP (%)-0.00450.00350.048
EBV-FY (kg)1.8962.7200.282
EBV-305dMY (kg)37.91653.8290.288

EBV-FP: expected breeding value of milk fat %, EBV-FY: expected breeding value of fat yield, EBV-305dMY: expected breeding value of 305 days milk yield

Allele substitution effect (α) of g.36,175,805C>T SNP locus of AGPAT6 gene on expected breeding values of milk production traits in Karan Fries bulls EBV-FP: expected breeding value of milk fat %, EBV-FY: expected breeding value of fat yield, EBV-305dMY: expected breeding value of 305 days milk yield

5. Discussion

Identification of genotypes significantly associated with milk fat content will help in the early evaluation of bulls at a younger age. In the present study, we have detected and screened the KF breeding bull population for the SNP locus viz. g.36,175,805C>T located on 5’ flanking region of AGPAT6 gene using T-ARMS PCR assay. As per the Bos_taurus_UMD_3.1.1 whole genome shotgun sequence data available on NCBI (NCBI Reference Sequence: AC_000184.1), the SNP locus, g.36,175,805C>T is mapped around 16.7 kbp downstream of GINS4 and 22.2 kbp upstream of AGPAT6 gene on BTA- 27 (https://www.ncbi. nlm.nih.gov/nuccore/AC_000184.1?report=genbank). A genome-wide association study conducted earlier in exotic crossbred cattle populations, also reported g.36,175,805C>T SNP ( 10 ). However, no report is available on genetic polymorphism in AGPAT6 gene in indigenous cattle breeds. The association analysis of identified genotypes was carried out with the breeding values of bulls for various milk production traits as the breeding value is the inheritable part of an individual’s genotypic value that is transmitted from parents to offspring. The results revealed that the EBV-FP differed significantly (P<0.05) among different genotypes with respect to the targeted SNP. The heterozygous genotypes were found superior for all the three traits studied. Between the homozygous genotypes, CC genotype was found superior to the TT genotype for the EBV-FP. On the other hand, the bulls with the TT genotype had higher EBV-FY and EBV-305dMY than the bulls with the CC genotype, although the differences were not statistically significant (Table 2). The allele substitution effect analysis of identified SNP revealed that the substitution of “C” allele of AGPAT6 by “T” allele led to a significant (P<0.05) decrease of 0.0045 % of in the EBV-FP. However, Littlejohn et al. ( 10 ) reported comparatively higher estimates of allele substitution effect (-0.0252 %) on milk fat content for the same SNP. The findings of the present study suggest that the identified SNP can be used as a molecular marker for developing marker-assisted selection strategy to enhance milk fat content in KF cattle population. The “C” allele of SNP locus, g.36,175,805C>T may be propagated by mating bulls with “CC” genotype in the herd. However, further research needs to be done to identify more genetic variants accounting large proportion of genetic variance of milk fat content on large bull population for developing more efficient and accurate genomic selection strategy.
  14 in total

Review 1.  Enzymes of triacylglycerol synthesis and their regulation.

Authors:  Rosalind A Coleman; Douglas P Lee
Journal:  Prog Lipid Res       Date:  2004-03       Impact factor: 16.195

2.  WOMBAT: a tool for mixed model analyses in quantitative genetics by restricted maximum likelihood (REML).

Authors:  Karin Meyer
Journal:  J Zhejiang Univ Sci B       Date:  2007-11       Impact factor: 3.066

3.  Modified guanidinium thiocyanate method for human sperm DNA isolation.

Authors:  A M Hossain; B Rizk; A Behzadian; I H Thorneycroft
Journal:  Mol Hum Reprod       Date:  1997-11       Impact factor: 4.025

4.  AGPAT6 is a novel microsomal glycerol-3-phosphate acyltransferase.

Authors:  Yan Qun Chen; Ming-Shang Kuo; Shuyu Li; Hai H Bui; David A Peake; Philip E Sanders; Stefan J Thibodeaux; Shaoyou Chu; Yue-Wei Qian; Yang Zhao; David S Bredt; David E Moller; Robert J Konrad; Anne P Beigneux; Stephen G Young; Guoqing Cao
Journal:  J Biol Chem       Date:  2008-01-31       Impact factor: 5.157

5.  Whole-genome sequencing of 234 bulls facilitates mapping of monogenic and complex traits in cattle.

Authors:  Hans D Daetwyler; Aurélien Capitan; Hubert Pausch; Paul Stothard; Rianne van Binsbergen; Rasmus F Brøndum; Xiaoping Liao; Anis Djari; Sabrina C Rodriguez; Cécile Grohs; Diane Esquerré; Olivier Bouchez; Marie-Noëlle Rossignol; Christophe Klopp; Dominique Rocha; Sébastien Fritz; André Eggen; Phil J Bowman; David Coote; Amanda J Chamberlain; Charlotte Anderson; Curt P VanTassell; Ina Hulsegge; Mike E Goddard; Bernt Guldbrandtsen; Mogens S Lund; Roel F Veerkamp; Didier A Boichard; Ruedi Fries; Ben J Hayes
Journal:  Nat Genet       Date:  2014-07-13       Impact factor: 38.330

6.  Functional characterization of the human 1-acylglycerol-3-phosphate-O-acyltransferase isoform 10/glycerol-3-phosphate acyltransferase isoform 3.

Authors:  Suja Sukumaran; Robert I Barnes; Abhimanyu Garg; Anil K Agarwal
Journal:  J Mol Endocrinol       Date:  2009-03-24       Impact factor: 5.098

7.  Functional characterization of human 1-acylglycerol-3-phosphate-O-acyltransferase isoform 9: cloning, tissue distribution, gene structure, and enzymatic activity.

Authors:  Anil K Agarwal; Suja Sukumaran; Rene Bartz; Robert I Barnes; Abhimanyu Garg
Journal:  J Endocrinol       Date:  2007-06       Impact factor: 4.286

8.  Identification of a novel sn-glycerol-3-phosphate acyltransferase isoform, GPAT4, as the enzyme deficient in Agpat6-/- mice.

Authors:  Cynthia A Nagle; Laurent Vergnes; Hendrik Dejong; Shuli Wang; Tal M Lewin; Karen Reue; Rosalind A Coleman
Journal:  J Lipid Res       Date:  2008-01-11       Impact factor: 5.922

9.  Identification and dissection of four major QTL affecting milk fat content in the German Holstein-Friesian population.

Authors:  Xiaolong Wang; Christine Wurmser; Hubert Pausch; Simone Jung; Friedrich Reinhardt; Jens Tetens; Georg Thaller; Ruedi Fries
Journal:  PLoS One       Date:  2012-07-11       Impact factor: 3.240

10.  Expression variants of the lipogenic AGPAT6 gene affect diverse milk composition phenotypes in Bos taurus.

Authors:  Mathew D Littlejohn; Kathryn Tiplady; Thomas Lopdell; Tania A Law; Andrew Scott; Chad Harland; Ric Sherlock; Kristen Henty; Vlad Obolonkin; Klaus Lehnert; Alistair Macgibbon; Richard J Spelman; Stephen R Davis; Russell G Snell
Journal:  PLoS One       Date:  2014-01-21       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.