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. 2011 Oct 1;34(4):592–594. doi: 10.1590/S1415-47572011005000037

Characterization of PRLR and PPARGC1A genes in buffalo (Bubalus bubalis)

Ruheena Javed 1,2, Sanjeev K Gautam 2, Ramesh K Vijh 1, Madhu S Tantia 1,
PMCID: PMC3229114  PMID: 22215963

Abstract

More than 40 million households in India depend at least partially on livestock production. Buffaloes are one of the major milk producers in India. The prolactin receptor (PRLR) gene and peroxisome proliferators activated receptor-γ coactivator 1-alpha (PPARGC1A) gene are reportedly associated with milk protein and milk fat yields in Bos taurus. In this study, we sequenced the PRLR and PPARGC1A genes in the water buffalo Bubalus bubalis. The PRLR and PPARGC1A genes coded for 581 and 819 amino acids, respectively. The B. bubalis PRLR gene differed from the corresponding Bos taurus at 21 positions and four differences with an additional arginine at position 620 in the PPARGC1A gene were found in the amino acid sequence. All of the changes were confirmed by cDNA sequencing. Twelve buffalo-specific single nucleotide polymorphisms (SNPs) were identified in both genes, with five of them being non-synonymous.

Keywords: Bubalus bubalis, buffalo, PRLR gene, PPARGC1A gene


The water buffalo (Bubalus bubalis) is an important dairy animal in the Indian subcontinent, with 55% of the milk in India being produced by buffaloes. With over 105 million buffaloes (56% of the world’s total population), India needs to improve the productivity of buffaloes as this species is rapidly replacing cattle in several milk-producing areas. Many candidate genes have been associated with dairy performance traits. The prolactin receptor (PRLR) gene, which belongs to the hematopoietin receptor superfamily (Kossiakoff et al., 1994), is particularly promising in this regard because of its crucial role in signal transduction from lactogenic hormones to milk protein gene promoters (Hayes et al., 1996). Prolactin (PRL) regulates milk gene expression (Gao et al., 1996) by activating Janus kinase 2 (JAK2) and signal transducer and activator of transcription 5 (STAT5), initially termed mammary gland factor (MGF). The gene coding for bovine PRLR was mapped to chromosome 20 in cattle and chromosome 19 in buffalo (Amaral et al., 2008). This gene has nine exons that code for a polypeptide of 581 amino acids.

The bovine peroxisome proliferators activated receptor-γ coactivator 1-alpha (PPARGC1A) gene is another putative gene associated with a previously described quantitative trait locus (QTL) for milk fat yield on BTA6 (Weikard et al., 2005). The protein encoded by this gene is a transcriptional coactivator that regulates the genes involved in energy metabolism. The bovine PPARGC1A gene is organized into 14 exons consisting of 6261 bp and is expressed at different levels in a large number of tissues.

In this work, we determined the exon sequences of the buffalo PRLR and PPARGC1A genes and confirmed the exon-intron boundaries by cDNA sequencing. We also identified the SNPs in a panel of various buffalo breeds.

The PRLR and PPARGC1A genes were characterized in a panel of 24 animals drawn from six Indian water buffalo breeds (Murrah, Bhadawari, Tarai, Pandharpuri, Marathwada and Mehsana). The Murrah breed is a northern Indian large dairy breed whereas Bhadawari and Tarai are small sized breeds adapted to extensive production systems. The Pandharpuri and Marathwada breeds are medium sized buffaloes from central India and the Mehsana breed is a western Indian dairy breed. DNA was isolated from blood samples and diluted to an optimum concentration. The genomic regions corresponding to the putative buffalo PRLR and PPARGC1A genes were amplified by the polymerase chain reaction (PCR) with 11 primer pairs for PRLR and 17 primer pairs for the PPARGC1A gene designed from the Bos taurus GenBank accession nos. AJ966356 and AY321517, respectively, at exon-intron boundaries (Table 1). The amplifications were run in 10 μL reaction mixtures containing 50 ng of genomic DNA, 5 pmol of each primer, 2 mM MgCl2, 0.2 μM of each dNTP and 1 unit of Taq DNA polymerase (Sigma) in a thermocycler (icycler Biorad, San Diego, CA, USA). The amplification protocol consisted of 5 min denaturation at 94 °C followed by 35 amplification cycles of 94 °C for 45 s, 55 °C (variable) for 45 s and 72 °C for 45 s, with a final extension at 72 °C for 10 min. The PCR products were separated on 2% (w/v) agarose (Promega, USA) gels to determine fragment sizes. PCR products were then incubated with exonuclease and calf intestinal phosphatase (1 unit each) at 37 °C for 2 h followed by inactivation at 85 °C for 15 min and subjected to cycle sequencing reactions in a 5 μL reaction volume using the Big-Dye system (Applied Biosystems, USA) according to the manufacturer’s instructions. Sequencing was done in a 3100 Avant automated sequencer (Applied Biosystems, USA) using forward and reverse primers.

Table 1.

Primers used in this work.

Primer name Forward primer Reverse primer
PRLR gene
PRL1 TCTgTTCATggAggCAAATg AAgCAACAgCAggACAgATg
PRL2 TgTgCCTCACCAgACTTTTg gggACTgTgATggATTCTCC
PRL3 CCCCATCTACCTgCTTCTgT AATTAACgCAgggTCAgTgg
PRL4 AgCAAggAAgCTCCATACCA CggggATCTATCCCTAAgACA
PRL5 AAgCTAgCgAgATCTgCCTCT TAggAggCACgACTggTTCT
PRL6 gACCTACATACTggCTTCTCTgC AAAACAATggCAgATTTCAgg
PRL7 ggCAggggACTTATgTTCAA gAggTgCTTgAATTATCTgTAggTT
PRL8 CATgTAgCAgCCATTTggAA gCTTAgCCAgACTgCACTgA
PRL9 gCgTTCACTTTgATTgCAgA TgTTggTCTgTTTggTCCAg
PRL10 CAACATTgCTgACgTgTgTg CAATTgAACCCATCCTTCCA
PRL11 gTgTCCCgggTgACAgATAg AAACCATgAAggCCTTTTCC

PPARGC1A gene

PRGC_1 CATgATgCTCCAAAAgTCCA CCCCTCACAggAATATTTgC
PRGC_2 TTTTTCTCCCTgCCTCCTg CAAAgCAAgAACCCATTATgC
PRGC_3 CTCATCTCCCAgTgTCAACTCA gTAgCCAgAggCAACTCCAA
PRGC_5 AAAgTTTTAgTAgCTTATTCTCATgCT TCCAgCTgAATTAATACATAgAATCC
PRGC_6 TgAACACTTCATTgAAAATCTCATC gAAgTTTgggTgTCCTCAgC
PRGC_7 AgTTTTCCTgTTTCCAgTTTCC ATATACATTTCACATACACACTCATCC
PRGC_8 ggAAAATgTgTCCTggCATT gCggTCTCTCTCAggTAgCA
PRGC_9 AggAgCTCCATgACTCCAgA CTTAggCTTTgggTgggTTT
PRGC_10 TCCAggggCTACTCAgTCAT ggCAgggTTTTggACTACAT
PRGC_11 gCCCCCTCCCTAgTTTATgA AATCTATgCCCATCACATCC
PRGC_12 TgCCTTCATAAATggTTCTgg CTgTCAAAgCATTCCCATCC
PRGC_13 gCgAAgTCTCCAAAgTggAA AgTAATggTTTggCCCAATg
PRGC_14 CggATAAATTgTTTTTgAATCg TgCAATAgTCTTTTAgggAAggA
PRGC_15 gAAgACACCgCAggTTCTgTA TTCTCgATTAAgAAAAATTTAgCAg
PRGC_16 TTTgTTACAgCTATgCACTgTAAATg gCATTTTgTATCAAATTAAAATCACA
PRGC_17 CCATTAAgAAATgTTTTTATTTTCTCT gAgTgTggAgCCCTggAAT

Total RNA was isolated from buffalo mammary gland tissue using a High pure RNA kit (Roche, Germany). cDNA was synthesized from total RNA using a superscript reverse transcriptase system (RT-PCR) and a first strand cDNA synthesis kit (Invitrogen, New Zealand) according to the manufacturers instructions. Sequencing was done in a 3130xl Genetic Analyser (Applied Biosystems) using forward and reverse primers designed for the coding region.

The sequences obtained for each fragment were aligned with SeqScape software v.2 (Applied Biosystems) to obtain PRLR and PPARGC1A gene consensus sequences using the B. taurus sequances as reference. The predicted amino acid sequences were obtained using AnnHyb 4.943 software (Friard, 2010). Single nucleotide polymorphisms (SNPs) were detected in the buffalo PRLR and PPARGC1A genes and confirmed in additional samples.

The PRLR gene sequence of B. bubalis consisted of nine exons. Overall, 4338 bp of genomic DNA (GQ339914) and 1239 bp of cDNA (HQ236497) were sequenced. The buffalo PRLR gene encoded 581 amino acids. Comparison with the corresponding B. taurus sequence revealed 21 amino acid differences (positions 2, 19, 52, 57, 61, 66, 100, 208, 243, 299, 338, 347, 399, 443, 480, 485, 494, 497, 534, 539 and 548). Six buffalo- specific SNPs were identified in the PRLR exon regions of the B. bubalis gene (positions G305T* in exon 2, A1017G in exon 4, and A2690G*, G3009A*, A3221G and A3486G in exon 9). Three SNPs were non-synonymous (*), resulting in amino acid changes at positions V19F, H328R and G428S (Table 2).

Table 2.

Buffalo-specific SNPs identified in the PRLR and PPARGC1A genes.

Gene Position NCBI dbSNP accession no. SNP Codon change Region Amino acid change
PRLR (GQ339914) 305 SS# 410759785 G/T* GTC/TTC Exon2 V19F
1017 SS# 410759786 A/g Exon4
2690 SS# 410759787 A/g* CAC/CGC H328R
3009 SS# 410759788 G/A* GGC/AGC G428S
3221 SS# 410759789 A/g Exon9
3486 SS# 410759790 A/g

PPARGC1A (GU066311) 718 SS# 410759779 C/T Intron3
1844 SS# 410759780 A/g Exon6
1902 SS# 410759781 C/T Intron6
2382 SS# 410759782 G/T* GGG/TGG W346G
2529 SS# 410759783 C/T* CTC/TTC Exon8 F395L
2657 SS# 410759808 A/g
*

Non synonymous.

The PPARGC1A gene (GU066311) was sequenced by designing primers at the exon-intron boundaries for most of the exons because the large size of the introns precluded sequencing. However, intron 6 was small enough to be completely sequenced. The amino acid sequence predicted from genomic DNA was confirmed by sequencing the cDNA (HQ236498). The PPARGC1A gene encoded 819 amino acids and comparison with the corresponding B. taurus sequence revealed four differences (positions 392, 419, 534 and 774), with the additional amino acid (arginine) at position 620. Six buffalo-specific SNPs were identified in the PPARGC1A gene (positions C718T in intron 3, A1844G in exon 6, C1902T in intron 6, and G2382T*, C2529T* and A2657G in exon 8). Two SNPs were non-synonymous (*), resulting in amino acid changes at positions W346G and F395L (Table 2).

Comparison with the corresponding B. taurus genes revealed that in both species the two genes contained an equal number of exons of similar length, except for exon 9 in the PPARGC1A gene, which had three more nucleotides that encoded an additional amino acid (arginine). The sequence conservation and exon-intron splice sites of B. bubalis and B. taurus were confirmed by sequencing the cDNA of both genes.

In this study, we sequenced and characterized the PRLR and PPARGC1A genes that are putative candidate genes for milk quality and production in buffaloes. We also identified novel buffalo-specific SNPs. Of the 12 SNPs identified, five were non-synonymous, i.e., they can theoretically change protein structure and function. These SNPs may be useful as markers for milk quality and production traits in buffaloes.

Acknowledgments

The authors gratefully acknowledge the financial assistance from National Agricultural Innovation Project C1050 of Indian Council of Agricultural Research, New Delhi.

Footnotes

Associate Editor: Alexandre Rodrigues Caetano

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