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Association of the single nucleotide polymorphism in CAPN3 gene with growth performance in Merino and Garut (MEGA) backcross sheep

Abstract

Background

Sheep is one of the commodities of livestock which has been known widely in Indonesia for supporting the national food security. Improvement in genetic quality by selection based on genetic markers for growth is necessary to increase meat production. Quantitative trait loci (QTL) analysis in sheep suggests that Calpain 3 gene (CAPN3) gene might be one of the candidate loci affecting growth traits. CAPN3 is located on chromosome 7 sheep expressed in the skeletal muscles. The aim of this study was to investigate polymorphism CAPN3 intron 11 in Merino × Garut (MEGA) backcross using the PCR-RLFP method and to determine their association with growth traits.

Results

SNP intron 11 CAPN3 | BseSI of Merino × Garut (MEGA) backcross sheep was polymorphic and resulted in two alleles of C and T with a frequency of 0.76 and 0.24, respectively, and CC, CT, and TT genotypes with a frequency of 0.54, 0.43, and 0.02, respectively. These loci were found to be in Hardy–Weinberg equilibrium. The SNP CAPN3 | BseSI significantly affected (P < 0.05) the birth weight in Merino × Garut (MEGA) backcross sheep.

Conclusion

This result suggests that the CAPN3 | BseSI can be used as a genetic marker for birth weight trait in sheep.

Background

Sheep is one of the commodities of livestock which has been known widely in Indonesia. Sheep farming is one alternative to animal protein sources for supporting national food security. Improvement of genetic quality by selection based on genetic markers for growth is necessary to increase the farmer’s income. Improvement of genetic quality is determined by the strength of inheritance and genetic quality of the traits that are improved. Selection using genetic markers is commonly performed to improve productivity in the livestock industry.

The recent developments in molecular genetics have found a possible method to identify association genetic variation at specific loci affecting the quantitative trait. Quantitative trait loci (QTL) analysis in sheep suggests that Calpain 3 gene (CAPN3) gene might be one of the candidate loci affecting growth traits [1]. Growth traits in livestock are one of the important quantitative traits because it is associated with carcasses. CAPN3 located on chromosome 7 sheep is expressed in the muscles. CAPN3 (calcium-activated neutral protease), also known as p94, is mostly expressed in the skeletal muscle, where it plays an important role in the integrity of myofibril [2]. CAPN3 has an important role in regulating protein degradation and controlling muscle growth which reflects the combined activity of protein synthesis and protein degradation [3]. The SSCP pattern showed three allele sequences of CAPN3 in sheep, and single nucleotide polymorphism (SNP) was identified at exon 10 [1]. Furthermore, CAPN3 SNP on intron 11 was found to be associated with birth weight in sheep [4].

The sheep used in this study were Merino and Garut (MEGA) backcross sheep. Garut sheep is a local sheep from West Java, and it has a medium type. Merino sheep are large types of sheep, and it is originally from Spain. Crosses of two sheep strains that have different genetic traits are used to form heterozygous populations, so it could find the allelic variations. Backcross can predict that phenotypically distinct sheep lines also have different alleles [1]. Therefore, it is necessary to know the diversity of the CAPN3 gene genotype in MEGA backcross sheep and their associations with growth traits. This study aimed to study the polymorphism of the CAPN3 gene in Garut and Merino backcross sheep and its association with growth traits.

Methods

Sample collection and DNA extraction

The sample of 85 Merino and Garut (MEGA) backcross sheep was obtained from F1 sires (Garut × Merino) which then were crossed back to Merino (MM) [1]. The growth trait dataset includes body weight (BW) of birth weight (BW0), 90 (BW90), 180 (BW180), 270 (BW270), and 360 (BW360) days of age. DNA was extracted from sheep white blood cells of fresh blood samples which were taken from the jugular vein. DNA was extracted based on a modified method of Montgomery dan Sise [5].

SNP marker genotyping

SNP polymorphisms of the sheep CAPN3 gene were genotyped by the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method. A pair of specific PCR primers, forward primer 5′-GACGAGCTTCAGACCACCTC-3′ and reverse primer 5′-CTGGTAACGCTGCACACACT-3′, was designed to amplify a 380-bp fragment of the intron 11 of sheep CAPN3 gene. PCR primers were designed based on the CAPN3 gene sequences (CAPN 3 sheep genome sequence ENSOARG00000020529) using the Primer 3.0 software. PCR amplifications were performed in a 12.5-µL reaction containing 0.5 µL template DNA, 6.25 µL Kappa Taq PCR kit, 4.75 µL nuclease-free water, and 0.5 µL for each forward and reverse primers. The PCR reaction was optimized in the Techne TC-PLUS. The reaction was cycled with the following conditions, initial denaturation for 5 min at 94 °C followed by 35 cycles of denaturation at 94 °C for 1 min, annealing at 59.7 °C for 30 s, and extension at 72 °C for 30 s and final extension at 72 °C for 5 min. PCR products were visualized by electrophoresis on 1% agarose gel in 0.5 × TBE. The PCR products were digested with BseSI enzyme that identified the GTGCC|C restriction site for genotyping; 3 µl of PCR product was digested with 0.7 µl buffer g, 0.3 µl (10 u/µl), and 5.8 µl DDW up to a total volume of 10 µl then were incubated at 55 °C for 2 h. The size of the restriction fragments was determined by electrophoresis on 2% agarose gel in 0.5 × TBE and visualized by ethidium bromide staining for ± 50 min at 100 V.

Statistical analysis

Allele frequencies, gene frequencies, observational heterozygosity (Ho), and expected heterozygosity (He) were calculated by the direct counting method [6], and Hardy–Weinberg equilibrium in a population was tested using a chi-square (X2) test. Pearson’s correlation coefficients were calculated to test the strength of the relationship between growth traits of birth weight, body weight at 90 days, body weight at 180 days, body weight at 270 days, and body weight at 360 days. The association of genotypes with the growth traits was analyzed using the t-test. Phenotype data in three genotypes with significant differences of P < 0.05 by the t-test were detected as significant SNP.

Results

Polymerase chain reaction amplification of intron 11 Gen CAPN3

CAPN3 gene fragments were successfully amplified using MEGA backcross sheep’s DNA and pair of primers. The PCR products were detected by electrophoresis on 1% agarose gels with a 100-bp DNA marker (Fig. 1).

Fig. 1
figure 1

Visualization of PCR product of CAPN3 analyzed by electrophoresis. M, marker 100 bp

Genotype identification and genetic diversity analysis

SNP of sheep CAPN3 gene was genotyped by the polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) method. Three different genotypes of the locus could be obtained by this method. The PCR product of 380 bp length was digested by restriction enzyme BseSI and produced fragments lengths of 296 bp and 84 bp for the CC genotype; 380 bp, 296 bp, and 84 bp for the CT genotype; and 380 bp for the TT genotype (Fig. 2). The 84-bp band is not visible on the gel because it is too small in size (< 100 bp). The genotype and allele frequencies of CAPN3|BseSI in MEGA backcross sheep are shown in Table 1.

Fig. 2
figure 2

Results of PCR–RFLP of the SNP CAPN3|BseSI. M, marker 100 bp

Table 1 Genotype and allele frequencies and X2 test for CAPN3|BseSI locus

Association of SNP CAPN3|BseSI with growth traits

The results of association analysis between single nucleotide polymorphism (SNP) at intron 11 CAPN3 gene and growth trait of MEGA backcross sheep are shown in Table 2.

Table 2 Association of SNP CAPN3|BseSI and growth traits

Correlations between various body weights

The correlations between body weight in this study were all positive (Table 3) which showed that the selection for weight would have a positive effect on weights at later ages.

Table 3 Pearson correlation coefficients between body weight at selected days of age

Discussion

The DNA amplification with an annealing temperature of 57.9 °C produced a single band according to the target size and not formed the band produced by non-specific amplicons (Fig. 1). An annealing temperature which is too high can produce a low PCR product, and an annealing temperature which is too low tend to stick elsewhere and produce non-specific products [7]. The amplified fragment size was consistent with the target which was 380 bp in length and had a good specificity (Fig. 1).

The genotype frequencies for CC, CT, and TT were 0.54, 0.43, and 0.02, respectively, and the frequency of the C allele was 0.76 and that of the T allele was 0.24 (Table 1). The frequency of the CAPN3 gene alleles was estimated as polymorphic. An allele was estimated as polymorphic if the allele frequency obtained is more than 0.01 [6, 8, 9]. The diversity of genes can be used as a reference in determining breeding programs that are selected when the population is diverse and crossing if the population is uniform [10]. The genetic diversity indicated a higher genetic variation and a selective potentiality which could be expected to gain more genetic progress [11]. The observed heterozygosity (Ho) and expected heterozygosity (He) values are 0.43 and 0.36, respectively (Table 1). The result of the chi-square test indicates that these loci were fitted in a Hardy–Weinberg equilibrium (P > 0.05).

The SNP on intron 11 CAPN3 gene had significantly affected (P < 0.05) the birth weight in MEGA backcross sheep (Table 2). Previous studies have shown that intron regions play an important role in the level of gene expression [5, 12,13,14]. Therefore, the specific nucleotide can be used as a genetic marker for birth weight selection. Animals with the CT genotype had higher birth weights than animals with the CC genotype. Previous studies have been reported that a CAPN3 polymorphism was associated with birth weight in sheep [5, 14]. Calpain activity is required for myoblast fusion and for cell proliferation, in addition to cell growth. The calpain system may also affect the number of skeletal muscle cells in domestic animals by altering the rate of myoblast proliferation and modulating myoblast fusion [15]. However, there was no significant effect (P > 0.05) of SNP CAPN3|BseSI genotypes on body weight at BW90, BW180, BW270, and BW360. As stated by Gardner et al. [16], birth weight is important for the next growth since it has a correlation in neonatal and adult health. It was reported that there is a benefit of ewe lambs mating; it could improve lifetime production, increase rates of genetic gain, and increase net profits [17]. In addition, it can only be achieved when the ewe lambs successfully rear their offspring for weaning. Another study indicated that genetic gain can be increased by selecting from ewe lambs (8-9 months) [18]. The birth weight was different between those produced by ewe lambs and mature ewes which the birth weight was heavier in mature ewes than in ewe lambs [19]. Another research reported that a low body weight would increase the deposition of fat in the carcass and non-carcass components during the period of lamb fattening [20].

The highest correlation was found between BW270 and BW360 (0.945) while the lowest correlation was found between BW0 and BB270 (0.187) (Table 3). The correlation coefficients between adjacent ages were high and decreased slightly as the interval between ages increased. These results are similar to the genetic correlation and correlation of phenotypic weight at different ages in sheep [21,22,23], cattle [24], and swine [25] which shows that the correlation coefficient between adjacent ages is high and decreases due to increasing age range. In this study, correlation coefficients between BW0 and other weights were lower than the corresponding values observed between weights at adjacent ages. This shows that birth weight is not under the same genetic control as weight at other ages [21]. Birth weight affects further growth traits [16]. Growth traits are quantitative traits and are controlled by multiple micro-effect genes [26]. In addition, it was stated that molecular markers related to sheep growth traits are then used as the basis of molecular breeding.

Conclusion

SNP intron 11 of CAPN3|BseSI gene in MEGA backcross is polymorphic, and the C allele had higher frequencies compared to the T allele. The SNP intron 11 of CAPN3|BseSI gene in MEGA backcross sheep significantly affected (P < 0.05) for birth weight, and it could be used as a genetic marker for birth weight trait in sheep.

Availability of data and materials

All data are primary data and generated from the research.

Abbreviations

QTL:

Quantitative trait loci

CAPN3:

Calpain 3

MEGA:

Crossing Merino × Garut sheep

BW:

Body weight

BW0:

Birth weight

BW90:

Body weight 90 days

BW180:

Body weight 180 days

BW270:

Body weight 270 days

BW360:

Body weight 360 days

PCR:

Polymerase chain reaction

PCR-RFLP:

Polymerase chain reaction-restriction fragment length polymorphism

SNP:

Single nucleotide polymorphism

References

  1. Margawati ET (2005) Pemetaan quantitative trait loci (QTL) sifat pertumbuhan pada populasi domba silang balik ekor tipis dan merino (Quantitative Trait Loci (QTL) Mapping for Growth Traits in the Indonesian Thin Tail and Merino Backcross Sheep Populations) [dissertation]. Institut Pertanian Bogor, Bogor

    Google Scholar 

  2. Zhou H, Hickford JGH, Fang Q (2006) Single nucleotide polymorphisms of the ovine calpain 3 (CAPN3) gene. Mol Cell Probes 21:78–79

    Article  Google Scholar 

  3. Combaret L, Bechet D, Claustre A, Taillandier D, Richard I, Attaix D (2003) Down-regulation of genes in the lysosomal and ubiquitin-proteasome proteolytic pathways in calpain-3-deficient muscle. Int J Biochem Cell Biol 35:676–684

    Article  Google Scholar 

  4. Chung H, Choi B, Jang G, Lee K, Kim H, Yoon S, Im S, Davis M, Hines H (2007) Effect of variants in the ovine skeletal-muscle specific calpain gene on body weight. J App Genet 48:61–68

    Google Scholar 

  5. Montgomery GW, Sise JA (1990) Extraction of DNA from sheep white blood cells. New Zealand J Agr Res 33:437–441

    Article  Google Scholar 

  6. Nei K (2000) Molecular evolution and phylogenetics. Oxford University Press, New York

    Google Scholar 

  7. Borah P (2011) Primer designing for PCR. Sci Vision 11(3):134–136

    MathSciNet  Google Scholar 

  8. Allendrof FW, Luikart G, Aitken SN (2013) Conservation and the genetics of populations, 2nd edn. Wiley-Blackwell Publishing, Chicester

    Google Scholar 

  9. Hartl DL, Clark AG (2007) Principle of population genetic, 4th edn. Sinauer Associates, Sunderland

    Google Scholar 

  10. Noor RR (2010) Genetika Ternak. Penebar Swadaya, Jakarta

    Google Scholar 

  11. Yang ZJ, Fu L, Zhang GW, Yang Y, Chen SY, Wang J, Lai SJ (2013) Identification and association of SNPs in TBC1D1 gene with growth traits in two rabbit breeds. Asian Australas J Anim Sci 26(11):1529–1535

    Article  Google Scholar 

  12. Van Laere AS, Nguyen M, Braunschweig M, Nezer C, Collette C, Moreau L, Archibald AL, Haley CS, Buys N, Tally M, Andersson G, Georges M, Andersson L (2003) A regulatory mutation in igf2 causes a major QTL effect on muscle growth in the pig. Nature 69(60):832–836

    Article  Google Scholar 

  13. Jin QJ, Sun JJ, Fang XT, Zhang CL, Yang L, Chen DX, Shi XY, Du Y, Lan XY, Chen H (2011) Molecular characterization and polymorphisms of the caprine somatostatin (SST) and SST receptor 1 (SSTR1) genes that are linked with growth traits. Mol Biol Rep 38:3129–3135

    Article  Google Scholar 

  14. Mahrous KF, Hassanane MS, Shafey HI, Mordy MA, Rushdi HE (2016) Association between single nucleotide polymorphism in ovine calpain gene and growth performance in three Egyptian sheep breeds. J Genet Eng and Biotech 14(2):233–240

    Article  Google Scholar 

  15. Goll DE, Thompson VF, Li H, Wei W, Cong J (2003) The calpain system. Physiol Rev 83:731–801

    Article  Google Scholar 

  16. Gardner DS, Buttery PJ, Daniel Z, Symonds ME (2007) Factors affecting birth weight in sheep: maternal environment. Reproduction 133:297–307. https://doi.org/10.1530/REP-06-004

    Article  Google Scholar 

  17. Schreurs NM, Kenyon PR, Mulvaney FJ, Morel PCH, West DM, Morris ST (2010) Effect of birthweight and birth rank on the survival of single and twin lambs born to ewe lambs. Anim Prod Sci 50:460–464

    Article  Google Scholar 

  18. Pettigrew EJ, Hickson RE, Morris ST, Lopez-Villalobos Pain SJ, Kenyon PR, Blair HT (2019) The effects of birth rank (single or twin) and damage on the lifetime productive performance of female dual purpose sheep (Ovis aries) offspring in New Zealand. PLoS one 14:e0214021. https://doi.org/10.1371/journal.pone.0214021. 14pp.

  19. Pettigrew EJ, Hickson RE, Blair HT, Griffiths KJ, Ridler AL, Morris ST, Kenyon PR (2020) Differences in lamb production between ewe lambs and mature ewes. NZ J Agric Res. https://doi.org/10.1080/00288233.2020.1713177. 13pp.

  20. Andrés S, Valdés C, Santos A, Mateo J, Giráldez FJ (2020) Effects of birth weight on animal performance, fattening traits and meat quality of lambs. Animals 10:2364. https://doi.org/10.3390/ani10122364. 13pp.

  21. Najafi MJ, Lavval A, Hemmati B, Farahvash T, Abdollahpoor R (2011) Estimation of genetic parameters for growth traits in Moghani sheep using random regression. Res Opin Anim Vet Sci 1(10):677–685

    Google Scholar 

  22. Abbasi M, VaezTorshizi A, NejatiJavaremi R, Asfoori AR (2004) Estimation of genetic parameters for body weights traits using random regression model in Baluchi sheep breed in AbbasAbad station. Pajouhesh Sazandegi 64:75–80

    Google Scholar 

  23. Fischer TM, Van der Werf JHJ, Banks RG, Ball AJ (2004) Description of lamb growth using random regression on field data. Lives Prod Sci 89(23):175–185

    Article  Google Scholar 

  24. Aziz MA, Nishida S, Suzuki K, Nishida A (2005) Estimation of direct and maternal genetic and permanent environmental effects for weights from birth to 356 days of age in a herd of Japanese Black cattle using random regression. J Anim Sci 83(3):519–530

    Article  Google Scholar 

  25. Huisman AE, Veerkamp RF, van Arendonk JAM (2002) Genetic parameters for various random regression models to describe the weight data of pigs. J Anim Sci 80(3):575–582

    Article  Google Scholar 

  26. Tuersuntuoheti M, Zhang J, Zhou W, Zhang C, Liu C, Chang Q, Liu S (2023) Exploring the growth trait molecular markers in two sheep breeds based on genome-wide association analysis. PLoS one 18:e0283383. https://doi.org/10.1371/journal.pone.0283383. 18pp.

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Acknowledgements

This research was possibly conducted by permission using DNA samples and growth data records of MEGA sheep collected from collaborative research between the Laboratory of Animal Molecular Genetics of the LIPI and ACIAR (Australian Centre for International Agricultural Research) project AS1/9727. The authors thank the supporting research fund of a research project DIPA LIPI B-5114/IPH/HK.01.03/I/2020.

Funding

There is no specific funding to cover all research activities. However, all DNA materials used and growth data records in this activity were collected from a collaborative research of LIPI and ACIAR (Australian Centre for International Agricultural Research) project AS1/9727.

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P performed the experiment, data analysis, and writing of the manuscript. RRN supervised the data analysis and writing of the manuscript. ETM conceived and designed the whole research and wrote the manuscript. HWR read and revised the final manuscript. All authors read and approved the final manuscript and had equal contributions to this work.

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Correspondence to Endang Tri Margawati.

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Puruhita, Noor, R.R., Margawati, E.T. et al. Association of the single nucleotide polymorphism in CAPN3 gene with growth performance in Merino and Garut (MEGA) backcross sheep. J Genet Eng Biotechnol 21, 77 (2023). https://doi.org/10.1186/s43141-023-00524-7

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