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Single strand confirmation polymorphism (SSCP) detection in exon I of the <FONT FACE=Symbol>a</font>-lactalbumin gene of Indian Jamunapari milk goats (Capra hircus)

Abstract

The genetic diversity of Jamunapari goats (Capra hircus) was investigated using an optimized non-radioactive polymerase chain reaction single-strand conformation polymorphism (PCR-SSCP) method to detect <FONT FACE=Symbol>a</font>-lactalbumin polymorphism in a sample of 50 goats. Our data show that PCR-SSCP is an appropriate tool for evaluating genetic variability in Jamunapari goats. Polymorphism was detected in the sample, indicating that Jamunapari goats have high genetic variability at loci, exon I of the a-lactalbumin gene. This result opens interesting prospects for future selection programs and conservation strategies. These a-lactalbumin variants can be sequenced and screened in the population to develop single nucleotide polymorphism (SNP) markers for association studies and marker assisted selection.

alpha-lactalbumin; genetic variability; goat; single-strand conformation polymorphism (SSCP)


ANIMAL GENETICS

SHORT COMMUNICATION

Single strand confirmation polymorphism (SSCP) detection in exon I of the a-lactalbumin gene of Indian Jamunapari milk goats (Capra hircus)

Dinesh Kumar; Neelam Gupta; S.P.S. Ahlawat; R. Satyanarayana; Shyam Sunder; S.C. Gupta

National Bureau of Animal Genetic Resources, Karnal, India

Send correspondence to Send correspondence to Dinesh Kumar National Bureau of Animal Genetic Resources, Small Ruminant Molecular Genetics Lab DNA Fingerprinting Unit Karnal 132 001 Haryana, India E-mail: dineshbhu@rediffmail.com

ABSTRACT

The genetic diversity of Jamunapari goats (Capra hircus) was investigated using an optimized non-radioactive polymerase chain reaction single-strand conformation polymorphism (PCR-SSCP) method to detect a-lactalbumin polymorphism in a sample of 50 goats. Our data show that PCR-SSCP is an appropriate tool for evaluating genetic variability in Jamunapari goats. Polymorphism was detected in the sample, indicating that Jamunapari goats have high genetic variability at loci, exon I of the a-lactalbumin gene. This result opens interesting prospects for future selection programs and conservation strategies. These a-lactalbumin variants can be sequenced and screened in the population to develop single nucleotide polymorphism (SNP) markers for association studies and marker assisted selection.

Key words: alpha-lactalbumin, genetic variability, goat, single-strand conformation polymorphism (SSCP).

India has 20 well-defined breeds of goats (Capra hircus), representing a wide spectrum of genetic variability. Within each Indian goat breed the variation in phenotypes and production levels is primarily because of extensive management under low input, with little selection being practiced by the farmers (Ahlawat and Gupta, 2004). The genetic variability of indigenous breeds is important for conserving precious and irreplaceable genetic resources which may be applied to new productive demands.

The Jamunapari, Jamnapari or Etawah goat (Capra hircus) is named after an area beyond the river Jamuna where the breed was developed and is a dual purpose milk-and-meat goat breed which is mainly found in the undulated land of Chakarnagar between the ravines of the Jamuna (Yamuna) and Chambal rivers in the Etawah district of the Indian state of Uttar Pradesh (Acharya, 1982). The predominantly white-haired Jamunapari goat is probably the tallest and most handsome of Indian goat breeds (Singh, 1966), the other distinguishing feature of the breed being a thick growth of long hair on the hindquarters. They have a large body, long and wide pendulous ears, a pronounced Roman nose and parrot mouth, and short and flat horns. The breed is a prolific and non-seasonal breeder (Devendra, 1985) and females possess large udders with big teats and are well known for milk production because they produce the highest amounts of milk of all Indian goat breeds, milk yield ranging from 1.13 to 3.63 kg d-1 or about 200 kg per lactation (Acharya, 1982, Rout et al., 2004) and growth (Singh, 1966). Variation in milk yield has been reported to be associated with management differences as well as variability in genetic makeup of the goats (Azevedo et al., 1994). The association of genetic polymorphism with milk production and composition (Ng-Kwai-Hang, 1997) has stimulated interest in using genetic polymorphism of milk protein genes in molecular marker assisted selection (MAS) to improve milk productivity in farm animals.

The aim of this study was to evaluate the genetic variability in exon-I of the a-lactalbumin milk gene using a non-radioactive PCR single-strand conformation polymorphism (PCR-SSCP) method in order to establish a breeding program based on molecular-assisted selection for improvement in milk yield and quality in Indian goat genetic resources.

We selected 50 genetically unrelated Jamunapari goats from the native breeding region of this breed, these goats being considered as representative of the existing gene pool of the population. Blood samples (5-6 mL) were obtained by jugular veinipuncture using vacuum tubes treated with 15% ethylenediaminetetraacetic acid (EDTA) as an anticoagulant. Genomic DNA was isolated as per the method described by Sambrook et al. (1989) with minor modifications. After checking the quality and quantity of the DNA it was diluted to a final concentration of 50 ng mL-1 in water and stored at 4 °C. The polymerase chain reaction (PCR) was carried out on about 50-100 ng of genomic DNA in a 25 µL-1 reaction volume, the goat a-lactalbumin gene (Gene Bank M63868) exon-I primer (Vilotte et al; 1991) being used in the amplifications to produce an expected product consisting of the beginning of the exon-I region (689 to 854). The reaction mixture consisted of 200 mM each of dATP, dCTP, dGTP and dTTP, 50 mM KCl, 10 mM Tris-HCl (pH 9.0), 0.1% (all percentages w/v) Triton X-100, 1.5 mM MgCl2, 0.75 unit Taq DNA polymerase and 4 ng µL-1 of each primer (5’ CTC TTG CTG GAT GTA AGG CTT3’; 5’ AGC CTG GGT GGC ATG GAA TA 3’) (Sigma Genosys) and two drops of mineral oil. Amplification was carried out in a PTC-200 PCR machine (M J Research Inc., MA, USA) using a hot start (95 °C for 5 min) and 30 cycles of 30 s at 95 °C, 62 °C and 72 °C consecutively, followed by a five min final extension at 72 °C. Amplification was verified by electrophoresis of the PCR products with loading dye (95% formamide, 0.25% bromophenol blue and 0.25% xylene cyanol) on 2% (w/v) agarose gel in 1 x TAE buffer using a 10 bp ladder as marker for confirmation of the length of the PCR products. Gels were stained with ethidium bromide (1 µm L-1). The amplified products (5 µL) were detected on 2% agarose gel using 1 µL of loading dye as a stop dye, electrophoresed and visualized using UV light after ethidium bromide staining. The PCR products were resolved by SSCP analysis. Several factors were tested for each fragment in order to optimize factors such as the amount of PCR product, denaturing solution, acrylamide concentration, percentage cross linking, glycerol, voltage, running time and temperature. Each PCR product was diluted in denaturing solution (95% formamide, 10 mM NaOH, 0.05% xylene cyanol and 0.05% Bromophenol blue, 20 mM EDTA) denatured at 95 °C for five min, chilled on ice and resolved on polyacrylamide gel. The electrophoresis was carried out in a BioRad Protean II xi vertical electrophoreses unit using 1X TBE buffer. Gels were silver-stained (Sambrook and Russell, 2001) and dried on cellophane using a Biorad Model 583 gel dryer.

The SSCP analysis of exon-I of the a-lactalbumin gene resulted in four different patterns (designated P1 to P4) with the following frequencies: P1 = 65%, P2 = 23, P3 = 7% and P4 = 5% (Figure 1). The a-lactalbumin exon-I polymorphism recorded in this study was higher than that found by Barracosa (1996), who analyzed the same exon using the same methodology and primers but reported only two patterns in Portuguese Serrana goats (also C. hircus). High variability in milk yield found in Jamunapari goats reported by earlier workers (Acharya, 1982, Rout, 2004,) is supported by the results of our study and may be related to the high degree of a-lactalbumin exon-I polymorphism found in our sample of this breed.


Several authors have pointed out that SSCP analysis is a reliable and reproducible technique for the detection of structural gene polymorphism which is primarily due to point mutations (Neibergs et al., 1993; Sheffield et al., 1993; Barroso et al., 1999). In fact, Neibergs et al., (1993) have stated that SSCP analysis is the technique of choice when screening for point mutations and minor deletions within a given fragment, although it is necessary to optimize conditions for each specific case. Also, the non-radioactive PCR-SSCP method has several advantages in that it requires no specific equipment, is technically simpler and faster than other techniques, can be used in most laboratories and is not very expensive (Orita et al., 1989).

Our data show that PCR-SSCP is an appropriate tool for evaluating genetic variability, with this research representing the first application of molecular techniques to Jamnapari goats and the first step in the genetic characterization of this breed. The SSCP variants detected by us can be sequenced to produce new to single nucleotide polymorphism markers for association studies and marker-assisted selection. The data generated by current studies may be useful for establishing possible associations between productive parameters and genetic variants and help in the process of decision making at the farmer’ s level for improvement and sustainable management of this goat breed.

Acknowledgments

The authors would like to thank the following people for help in the fieldwork and providing critical information: Dr J.S. Pal, Veterinary Officer, Bakewar, Etawah; Dr C.P. Tiwari, Livestock Extension Officer, Jamunapari Goat Breeding Centre, Chandai, Etawah; Dr V.P.S. Verma, Chief Veterinary Officer Etawah; Dr A.K. Singh, Director, Animal Husbandry, Government of Uttar Pradesh. We also thank The Director, National Bureau of Animal Genetic Resources (NBAGR) for providing facilities. The critical comments and suggestions of anonymous reviewers and editor are thankfully acknowledged.

Received: May 10, 2005; Accepted: August 26, 2005.

Associate Editor: Pedro Franklin Barbosa

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  • Send correspondence to

    Dinesh Kumar
    National Bureau of Animal Genetic Resources, Small Ruminant Molecular Genetics Lab DNA Fingerprinting Unit
    Karnal 132 001 Haryana, India
    E-mail:
  • Publication Dates

    • Publication in this collection
      12 June 2006
    • Date of issue
      2006

    History

    • Accepted
      26 Aug 2005
    • Received
      10 May 2005
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