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Sequence polymorphisms at the growth hormone GH1/GH2-Nand GH2-Z gene copies and their relationship with dairy traitsin domestic sheep (Ovis aries)
G. M. Vacca • M. L. Dettori • F. Balia •
S. Luridiana • M. C. Mura • V. Carcangiu •
M. Pazzola
Received: 25 July 2012 / Accepted: 30 April 2013 / Published online: 8 May 2013
� Springer Science+Business Media Dordrecht 2013
Abstract The purpose was to analyze the growth hor-
mone GH1/GH2-N and GH2-Z gene copies and to assess
their possible association with milk traits in Sarda sheep.
Two hundred multiparous lactating ewes were monitored.
The two gene copies were amplified separately and each
was used as template for a nested PCR, to investigate
single strand conformation polymorphism (SSCP) of the
50UTR, exon-1, exon-5 and 30UTR DNA regions. SSCP
analysis revealed marked differences in the number of
polymorphic patterns between the two genes. Sequencing
revealed five nucleotide changes at the GH1/GH2-N gene.
Five nucleotide changes occurred at the GH2-Z gene: one
was located in exon-5 (c.556G [ A) and resulted in a
putative amino acid substitution G186S. All the nucleotide
changes were copy-specific, except c.*30delT, which was
common to both GH1/GH2-N and GH2-Z. Variability in
the promoter regions of each gene might have conse-
quences on the expression level, due to the involvement in
potential transcription factor binding sites. Both gene
copies influenced milk yield. A correlation with milk
protein and casein content was also evidenced. These
results may have implications that make them useful for
future breeding strategies in dairy sheep breeding.
Keywords Domestic sheep � oGH gene � Polymorphism �GH2-N � GH2-Z � Sheep growth hormone
Introduction
The Growth Hormone (GH) is a peptide hormone 191
amino acid long, synthesized by the anterior pituitary
gland. The growth hormone has two main actions closely
related: it stimulates body growth and regulates cell
metabolism, as it is involved in the metabolism of proteins,
carbohydrates, lipids and minerals. It is demonstrated that
this molecule plays an important role in increasing growth
performance and milk yield in domestic animals [1]. For
this reason the GH gene is considered a candidate marker
for productive traits in livestock. Several studies reported
the effects of the GH gene polymorphism on productive
traits in dairy cattle [2, 3], goats [4, 5] and sheep [6]. In
sheep, the GH gene (oGH), is mapped to chromosome 11
(11q25) [7], it is about 1.8 kb long and contains five exons.
Two alleles have been found at this locus, named Gh1 and
Gh2, the GH1 gene copy occurs at the Gh1 allele, and the
GH2-N and GH2-Z gene copies occur at the Gh2 allele,
which is duplicated [8]. The Gh2 allele occurs in about
90 % of the populations studied so far, suggesting that it
may have a selective advantage [6]. Based on sequence
analysis of ewes homozygous for the Gh1 and Gh2 alleles,
Ofir and Gootwine [7] revealed that within the Gh1 allele,
the sequence of the GH1 gene is highly conserved, while
sequence differences have been evidenced between the
GH2-N and GH2-Z copies. The GH2-N gene is expressed
in the pituitary [9] and GH2-Z is expressed in the placenta
[10].
Sequencing of the 3.5 kbp long intercopy region,
extending across the GH2-N and GH2-Z copies, has
revealed the occurrence of a DNA region, localized at the
50UTR of GH2-Z, which differentiates the GH1/GH2-N
copies from GH2-Z, allowing to set up a selective PCR
amplification [6].
G. M. Vacca � M. L. Dettori (&) � F. Balia � S. Luridiana �M. C. Mura � V. Carcangiu � M. Pazzola
Dipartimento di Medicina Veterinaria, Universita degli Studi
di Sassari, via Vienna 2, 07100 Sassari, Italy
e-mail: [email protected]
123
Mol Biol Rep (2013) 40:5285–5294
DOI 10.1007/s11033-013-2629-9
The purpose of this study was to analyze, by Single
Stranded Conformation Polymorphism (SSCP) and
sequencing, genetic variability of the 50UTR (Untranslated
Region), exon-1, exon-5 and 30UTR, at the GH1/GH2-N and
GH2-Z gene copies and to assess their possible association
with milk production and composition in Sarda sheep.
Materials and methods
Animals and samples
Two hundred lactating Sarda breed ewes were randomly
selected from four farms, with similar traditional man-
agement and feeding system, located in Sardinia (Italy), in
an area between 40 degrees North latitude and 8 degrees
Est longitude. The sheep were healthy and in good state of
nutrition, multiparous, aged between 4 and 5 years, in their
third or fourth lactation. Once a month, from each sheep,
from February to June, daily milk yield was recorded and a
milk sample was collected. Individual blood samples were
taken for DNA extraction.
The Sarda sheep breed is the Italian most numerous
dairy breed with about 3.3 million heads reared only in
Sardinia [11] where 5 % of the world’s sheep milk is
produced [12]; for its characteristics of rusticity and high
milk yield, this breed is reared also in other Italian regions
and in some countries of the Mediterranean area.
Milk analysis
Milk samples were analyzed by using an infrared spec-
trophotometer (Milko-Scan 133B; Foss Electric, DK-3400
Hillerød, Denmark) to assess fat and protein percentage
according to the International Dairy Federation standard
(IDF 141C:2000) and casein content (FIL-IDF 29:1964).
DNA analysis
DNA extraction was performed with a commercial kit
(NucleoSpin Blood, Macherey–Nagel) and the DNA con-
centration and purity were measured by spectrophotometer
(Eppendorf Biophotometer, Hamburg, Germany). The
GH1/GH2-N gene was selectively amplified utilizing the
primer pair GHTF/GHTR [6] to obtain a DNA fragment of
about 2.05 kbp. In order to selectively amplify the GH2-Z
allele, a primer pair was designed with the Primer3 soft-
ware (http://frodo.wi.mit.edu/primer3/), based on GenBank
Acc. No. DQ461643, to get a fragment of about 2.22 kbp
(Table 1). The PCR reaction was carried out in a final
volume of 25 ll, with 25–50 ng of genomic DNA;
4–16 pmol of each primer; 1,5 mM of MgCl2; 200 lM of
dNTPs, 1 U of Taq Platinum DNA Polymerase (Invitrogen,
Life Technologies). The PCR program consisted of a
denaturing step at 94 �C for 5 min, followed by 35 cycles
[94 �C (30 s), 58 �C (20 s), 72 �C (2 min)] and an elon-
gation step at 72 �C for 5 min.
The GH1/GH2-N and GH2-Z genes were used sepa-
rately as template for a nested PCR, aimed at the amplifi-
cation of the 50UTR (fragment I, 125 bp), exon-1 (fragment
II, 112 bp), exon-5 (fragment VI, 289 bp) and 30UTR
(fragment VII, 150 bp), using the primer pairs proposed by
Marques et al. [6]; while the primer pair GH2ZF/GH5PR
was used for the nested PCR of the 50UTR of the GH2-Z
gene (fragment I, 358 bp) (Fig. 1). The two DNA frag-
ments I and II were partially overlapping, having in com-
mon about 60 bp, and the DNA segments VI and VII had in
common about 87 bp.
The nested PCR products were analyzed by SSCP.
Analysis was carried out on a D-Code Universal Mutation
Detection System (BioRad), as follows: 4 ll of each PCR
product was dissolved in 15 ll of denaturation solution
(95 % of formamide, 10 mM NaOH, 0.05 % of xylene-
cyanol and 0.05 % of bromophenol blue), heat-denaturated
at 95 �C for 5 min, chilled on ice and loaded onto 10 %
polyacrylamide gels (acr/bis 29:1) with TBE 0.59. Run-
ning conditions: 12 �C constant temperature, except frag-
ment I of GH1/GH2-N which ran at 4 �C; 25 W constant
power and 4–6 h running time. Products were visualized
with Sybr-Gold Nucleic Acid Gel Stain (Invitrogen, Life
Technologies) for 30 min; the different electrophoretic
profiles were displayed using a UV-transilluminator
(UVITEC, Cambridge). From one to three DNA fragments,
showing the same SSCP profile, were sequenced in both the
forward and reverse directions, using the primer pairs
GHTF/GH1R and GH5F/GHTR for the GH1/GH2-N gene
and the primer pairs GH2ZF/GH1R and GH5F/GH2ZR for
the GH2-Z gene. Sequencing was achieved with an Applied
Biosystems 3730 DNA Analyzer (Applied Biosystems,
Foster City, CA, USA), after purification with Agencourt�
AMPure� kit (Beckman Coulter, USA).
The Finch TV software (http://www.geospiza.com/
Products/finchtv.html) was used to view and edit chro-
matograms, and the BioEdit software [13] was used to
align sequences. The nucleotide variations were described
according to the Human Genome Variation Society (http://
www.hgvs.org/mutnomen/). Allele frequencies and Hardy–
Weinberg equilibrium were determined with POPGENE
V1.32 software [14]. Alibaba 2.1 software program, with
the TRANSFAC database version 7.0 (http://www.gene-
regulation.com/pub/programs/alibaba2) were used to ana-
lyse the promoter region, for putative transcription factor
binding sites. Haplotypes were predicted, based on linkage
disequilibrium and allele frequencies, within each gene
copy (GH1/GH2-N and GH2-Z) using the PHASE program
[15].
5286 Mol Biol Rep (2013) 40:5285–5294
123
Statistical analysis
Association analysis between the GH1/GH2-N and GH2-Z
genotypes and milk traits with repeated individual obser-
vations was performed using a mixed model (SAS Inst.
Inc., Cary, NC) which considered stage of lactation (days
in milk, DIM), genotype and the interaction between stage
of lactation and genotype as fixed effects. Animal nested
within genotype was considered as random effect. For all
parameters, model effects were declared significant at
P \ 0.05. Multiple comparisons of the means were per-
formed using the Bonferroni’s method [16]. Only geno-
types present in at least 2 % of the population were
considered.
Results
The GH1/GH2-N and GH2-Z copies of the ovine growth
hormone gene were amplified separately, to obtain two
DNA fragments about 2,055 and 2,219 bp long,
respectively. PCR amplification of the GH2-Z allele was
successful for all 200 ewes analysed, indicating that no
homozygous Gh1/Gh1 genotypes occurred in the present
study. However, it cannot be excluded that heterozygous
Gh1/Gh2 subjects were present. Each gene copy was used
as template for a nested PCR in order to investigate SSCP
polymorphism of 50UTR and exon-1 (fragments I and II);
exon-5 and 30UTR (VI and VII).
The images of the GH1/GH2-N gene SSCP are shown in
Fig. 2 and SSCP results are summarized in Table 2. The
GH1/GH2-N fragment I revealed three different patterns,
the most frequent was pattern A, and sequencing revealed
that patterns A and C had homozygous genotype combi-
nations, while pattern B (more rare in the population ana-
lyzed) was heterozygous. Fragment II gave four patterns,
the most frequent was pattern A, and sequencing revealed
that patterns A and D were homozygous, while patterns B
and C were heterozygous. Single strand polymorphism of
fragments VI and VII was characterized for the presence of
five different patterns, showing equal frequencies, as the
mutations detected were all located in the overlapping
Table 1 Primer sequences for
analysis of the sheep GH geneFragment name Primer name Primer sequence (50–30) Reference
GH1/GH2-N GHTF CCAGAGAAGGAACGGGAACAGGATGAG Marques et al. [6]
GHTR ATAGAGCCCACAGCACCCCTGCTATTG
GH2-Z GH2ZF TGGCTACACCTCTTCCTGCT This paper
GH2ZR GGAGGAACCGGGTCAATTAT
I GH5PF GGGAAAGGGAGAGAGAAGAAGCCAG Marques et al. [6]
GH5PR CAGCCATCATAGCTGGTGAGCTGTC
II GH1F CAGAGACCAATTCCAGGATC Marques et al. [6]
GH1R TAATGGAGGGGATTTTCGTG
VI GH5F CCCTTGGCAGGAGCTGGAAG Marques et al. [6]
GH5R AAAGGACAGTGGGCACTGGA
VII GH3PF CCTTCTAGTTGCCAGCCATCTGTTG Marques et al. [6]
GH3PR CCACCCCCTAGAATAGAATGACACCTAC
Fig. 1 Schematic representation of sheep GH gene. Exons are
represented by black boxes. The GH1 gene belongs to the Gh1
allele, while genes GH2-N and GH2-Z belong to the Gh2 allele. The
GH1/GH2-N genes have same sequences in the flanking regions. The
GH2-Z gene was amplified selectively thanks to the sequence stretch
of the intercopy region that differs from the corresponding regions in
the GH1/GH2-N genes. The DNA fragments I, II, VI and VII,
analysed by nested PCR, are framed
Mol Biol Rep (2013) 40:5285–5294 5287
123
region. Sequencing revealed that patterns A and D showed
homozygous genotype combinations.
Images resulting from SSCP analysis of the GH2-Z gene
are shown in Fig. 3 and results from polymorphism anal-
ysis are displayed in Table 2. Fragment I revealed three
different patterns. Sequencing revealed that pattern B,
which was the most frequent, showed a heterozygous
genotype combination, in contrast, fragment II was
monomorphic. Fragment VI was characterized for the
presence of five different patterns. Sequencing revealed
that only patterns A (the most frequent) and E (the least
frequent) had homozygous genotype combinations. Frag-
ment VII showed three different patterns, only pattern B
was heterozygous.
Sequencing of the SSCP polymorphic samples revealed
the nucleotide (nt) variations described in Table 3. At the
GH1/GH2-N gene, five nt changes were identified, three
were located in the 50UTR and two in the 30UTR, compared
to acc. no. DQ450146. Both exon-1 and exon-5 were
monomorphic. The nt variations detected with respect to
the reference sequence had low frequencies, except for the
deletion c.*30delT, which had a frequency of 0.843. All the
nt changes were in HW equilibrium for the GH1/GH2-N
locus, except c.-19T [ A and c.-15G [ A.
Five nucleotide changes occurred at the GH2-Z gene;
compared to acc. no. DQ46164. Two were located at the
50UTR, two at the 30UTR; one was located in exon-5
(c.556G [ A) and resulted in a putative amino acid substi-
tution G186S. Exon-1 was monomorphic. Allele frequencies
revealed that c.556G [ A was rare, and it was the only nt
variation out of the HW equilibrium, for this locus.
Haplotype prediction at the GH1/GH2-N locus revealed
a total of 7 haplotypes with frequencies [0.01, and only
two showed frequencies[0.05: haplotypes 1 (83 %) and 2
(6.3 %) (Table 4). At the GH2-Z locus, 6 haplotype com-
binations with frequency [0.01 were estimated, three of
them had frequency [0.05: haplotypes 1 (60 %), 2
(23.2 %) and 3 (12.5 %) (Table 4).
The effect of genotype and stage of lactation at GH1/
GH2-N and GH2-Z genes on milk yield, fat, protein and
casein percentage are shown in Tables 5 and 6. Statistical
analysis was performed considering only DNA fragments
II and VI for GH1/GH2-N gene and fragments I and VI for
the GH2-Z gene, as they were the most informative. The
stage of lactation significantly influenced (P \ 0.001) the
milk production traits considered here, as shown in Fig. 4.
A significant interaction effect between GH1/GH2-N
fragment VI genotype x DIM was evidenced on milk yield
and between GH2-Z fragment I genotype x DIM on fat
percentage (Table 5). Statistical analysis revealed that both
copies of the sheep GH gene affected phenotypic variation
of milk traits. Ewes displaying pattern A of fragment II and
pattern C of fragment VI (GH1/GH2-N) produced the
highest (P \ 0.05) milk yield, and pattern A of fragment
VI was significantly (P \ 0.05) associated with the highest
protein and casein percentage (Table 6). Ewes with pattern
A of fragment I (GH2-Z) showed the highest (P \ 0.05)
milk yield, and patterns B and D of fragment VI were
Fig. 2 SSCP patterns of GH1/
GH2-N gene DNA fragments
I (50UTR), II (exon-1), VI
(exon-5) and VII (30UTR). A
single letter designation was
adopted to indicate the different
patterns. Each pattern differs
from the others depending on
the relative position of the
single strand DNA bands on
polyacrylamide gel. The
genotype combination
corresponding to each pattern is
indicated in Table 2
5288 Mol Biol Rep (2013) 40:5285–5294
123
Table 2 SSCP pattern frequencies and genotype combinations found at the GH1/GH2-N and GH2-Z genes of Sarda sheep
DNA
fragment
GH1/GH2-N GH2-Z
Pattern frequencies
(%)
Genotype
combinations
Nta Pattern frequencies
(%)
Genotype
combinations
Ntb
I A (94.5) TT/GG 976/980 A (39.5) CC/CC 1,130/1,220
B (5.0) AT/AG B (43.5) TC/GC
C (0.5) AA/AA C (17.0) TT/GG
II A (84.5) CC/TT/GG 956/976/980 A (100)
B (5.0) CC/AT/AG
C (10.0) CT/TT/GG
D (0.5) CC/AA/AA
VI A (69.5) _ _/GGc 2655delT/2,678 A (70.0) GG/TT/_ _ 2,922/3,035/
3049ins3050
B (15.0) _T/GT B (24.0) GG/TC/_T
C (14.5) _T/GG C (2.0) GA/TC/_T
D (0.5) TT/GG D (3.5) GG/CC/_T
E (0.5) TT/GT E (0.5) AA/CC/TT
VII A (69.5) _ _/GG 2655delT/2,678 A (70.0) _ _ 3049ins3050
B (15.0) _T/GT B (29.5) _T
C (14.5) _T/GG C (0.5) TT
D (0.5) TT/GG
E (0.5) TT/GT
a Nt: nucleotide positions corresponding to the genotype combination of each DNA fragment, related to the Acc. No. DQ450146b Nt: nucleotide positions corresponding to the genotype combination of each DNA fragment, related to the Acc. No. DQ461643c _: Single nucleotide deletion
SSCP patterns were identified based on the electrophoretic mobility of single-stranded DNA in polyacrylamide gels and were assigned a capital
letter, while genotypes were assigned following analysis of the DNA sequences
Fig. 3 SSCP patterns of GH2-Z
gene DNA fragment I (50UTR),
II (exon-1), VI (exon-5) and VII
(30UTR), A single letter
designation was adopted to
indicate the different patterns.
Each pattern differs from the
others depending on the relative
position of the single strand
DNA bands on polyacrylamide
gel. The genotype combination
corresponding to each pattern is
indicated in Table 2
Mol Biol Rep (2013) 40:5285–5294 5289
123
significantly associated (P \ 0.05) with the highest protein
and casein percentage (Table 6).
Discussion
The separate analysis of the two oGH gene copies,
accomplished in this research, revealed marked differ-
ences: fragment II was monomorphic at the GH2-Z allele,
but showed 4 banding patterns at GH1/GH2-N; fragment
VII had 3 SSCP profiles at GH2-Z vesrus 5 at GH1/GH2-N.
Both GH1/GH2-N and GH2-Z genes showed a higher
number of SSCP patterns at fragments VI and VII
(corresponding to exon-5 and 30UTR), rather than frag-
ments I and II (promoter region and exon-1), similar to that
revealed by Marques et al. [6] in Serra da Estrela sheep.
This confirmed earlier work that indicated the 50UTR and
exon-1 as more conserved than the other regions, at the
GH1/GH2-N allele [7].
Mutations in the promoter region
Prediction of the potential involvement of the nt changes at
the GH1/GH2-N promoter region in transcription factor
binding sites (TFBS) revealed that the two polymorphisms
c.-19T [ A and c.-15G [ A produced a variation
Table 3 Nucleotide changes at
the GH1/GH2-N and GH2-Z
genes in Sarda sheep
a Nucleotide positionb Nucleotide positions are
relative to GH1 genomic DNA
sequence DQ450146c Nucleotide positions are
relative to GH2-Z genomic
DNA sequence DQ461643
Polymorphism Nta Location Deduced
AA change
Frequency
GH1/GH2-Nb c.-39 C [ T 956 50UTR – 0.048
c.-19 T [ A 976 50UTR – 0.030
c.-15 G [ A 980 50UTR – 0.030
c.*30 del T 2655delT 30UTR – 0.843
c.*53 G [ T 2,678 30UTR – 0.076
GH2-Zc c.-259 T [ C 1,130 50UTR – 0.611
c.-169 G [ C 1,220 50UTR – 0.611
c.556 G [ A 2,922 Exon-5 p.Gly186Ser 0.015
c.*15 T [ C 3,035 30UTR – 0.168
c.*29_30insT 3049ins3050 30UTR – 0.151
Table 4 Haplotype frequencies of the GH1/GH2-N and GH2-Z genes in Sarda sheep
Haplotypea c.-39 C [ T c.-19 T [ A c.-15 G [ A c.*30 del T c.*53 G [ T Frequency SEc
GH1/GH2-N
1 C T G _b G 0.830 0.003
2 C T G T G 0.063 0.002
3 T T G T T 0.037 0.001
4 C T G T T 0.029 0.002
5 C A A T G 0.017 0.001
6 C A A T T 0.010 0.001
7 T T G _ G 0.010 0.002
GH2-Z
c.-259 T [ C c.-169 G [ C c.556 G [ A c.*15 T [ C c.*29_30insT
1 C C G T b_ 0.600 0.003
2 T G G T _ 0.232 0.003
3 T G G C T 0.125 0.003
4 T G G C _ 0.018 0.000
5 T G A C T 0.015 0.001
6 C C G C T 0.010 0.003
a Only haplotypes with frequency [0.01 are shown and haplotypes with frequencies [0.05 are in boldb _ = Single nucleotide deletionc SE standard deviations (square root of the variance of the posterior distribution) for the frequencies
5290 Mol Biol Rep (2013) 40:5285–5294
123
Table 5 Analysis of variance showing the effects of oGH genotype and lactation stage (DIM) on milk traits
Fragment II Fragment VI
Milk yield, g/day Fat, % Protein, % Casein, % Milk yield, g/day Fat, % Protein, % Casein, %
GH1/GH2-N
DIM 40.07*** 108.87*** 8.38*** 23.88*** 137.07*** 238.28*** 22.53*** 57.36***
Genotype 4.17* 1.49ns 1.99ns 2.05ns 3.37* 1.77ns 4.54* 3.71*
Genotype 9 DIM 1.69ns 1.30ns 1.10ns 1.26ns 6.52*** 1.79ns 1.64ns 1.66ns
RMSEa 184.85 0.72 0.36 0.30 131.52 0.72 0.35 0.30
GH2-Z
DIM 152.28*** 315.65*** 23.27*** 59.29*** 24.47*** 53.59*** 2.68* 9.68***
Genotype 3.57* 1.87ns 0.39ns 0.53ns 1.08ns 2.02ns 3.30* 3.22*
Genotype 9 DIM 1.67ns 2.28* 0.26ns 0.13ns 1.04ns 0.62ns 0.59ns 0.47ns
RMSEa 134.82 0.71 0.36 0.30 135.25 0.72 0.36 0.30
a RMSE root mean square error
*, **, and *** indicate significant F-values at P \ 0.05, 0.01 and 0.001, respectively
ns not significant
Table 6 LS means of milk traits, according to genotypes at GH1/GH2-N and GH2-Z
GH1/GH2-N GH2-Z
Fragment II Fragment VI Fragment I Fragment VI
SSCP pattern A B C A B C A B C A B C D
N1 169 10 20 139 30 29 79 87 34 140 48 4 7
Milk yield, g/day 586.7ab 581.1ab 454.4b 561.3b 556.7ab 657.7a 617.0a 544.1b 546.8ab 587.7 547.7 564.0 478.2
Fat % 6.40 6.04 6.42 6.44 6.24 6.29 6.37 6.37 6.23 6.41 6.03 5.73 6.74
Protein% 5.89 5.72 6.06 5.94a 5.93ab 5.67b 5.89 5.92 5.84 5.86b 6.01a 5.35c 6.04a
Casein % 4.63 4.50 4.79 4.68a 4.66ab 4.47b 4.64 4.67 4.58 4.61b 4.74a 4.16c 4.76a
a N number of animalsb Different letters in the same row indicate values significantly different; a, b, c = P \ 0.05
Fig. 4 Trends of milk yield, fat,
protein and casein percentages
in Sarda sheep milk during
lactation. Different letters (A, B,
C) differ significantly for
P \ 0.01
Mol Biol Rep (2013) 40:5285–5294 5291
123
depending on the haplotype: the TG combination intro-
duced a PEA3 (Polyoma Enhancer Activator 3) binding
site (nt -14/-23), which was lost when the AA haplotype
occurred, making the nt sequence -17/-26 become a
potential site for the Sp1 (Specificity Protein 1) transcrip-
tion factor. The PEA3 subfamily proteins play key regu-
latory roles in mammary embryogenesis and mammary
gland development in mouse and human [17], while Sp1 is
a transcription factor involved in different aspects of cel-
lular functions in eukaryotic cells [18].
At the GH2-Z promoter region, the occurrence of a C
from the c.-259T [ C base change resulted in a binding
site for C/EBP-alpha (CCAAT/Enhancer Binding Protein)
transcription factor (nt -256/-265), if T substituted for C,
this potential binding site was lost. The C/EBP-alpha
transcription factor is known to have a critical role in
the regulation of adipogenesis [19]. With regard to the
c.-169G [ C polymorphism, the G was involved in a
potential binding site for USF (Upstream Stimulatory
Factor 1) transcription factor (nt -160/-169), which was lost
when C occurred. The USF1 transcription factor is asso-
ciated (in human) to familial combined hyperlipidemia,
and is involved in the regulation of genes for lipid and
cholesterol metabolism [20]. From these data, it can be
observed that there is, within each gene, a variability of the
promoter regions that might have consequences at the
regulatory level on the expression of the related protein.
The two promoter sequences analyzed shared a PEA3
transcription factor binding site at nt -14/-23, and a
region (nt -81/-70) potentially recognized by GATA-1,
Sp1 and AP-2 transcription factors. Upstream of nt -82
sequences of the two promoters and the related predicted
TFBS differ completely. This might explain the differential
expression of the two gene copies pointed out by different
Authors. In fact, Lacroix et al. [10] have detected the
expression of two forms of GH mRNA in the placenta of
sheep, one of which may be related to the pituitary GH, and
has been attributed to the GH1/GH2-N gene. The second
has been attributed to the product of the GH2-Z gene.
Gootwine et al. [9] reported that GH2-Z is not expressed in
the pituitary gland, probably owing to a regulation of gene
expression different from that of GH1/GH2-N.
Mutations in exons
Exon-1 was monomorphic in both GH1/GH2-N and GH2-
Z, as reported by Marques et al. [6] in Serra da Estrela
sheep, suggesting that this region is highly conserved not
only within the GH1 gene copy [7] but also within the
GH2-N and GH2-Z copies.
The nt change detected at the GH2-Z exon-5 has also
been detected in Serra da Estrela sheep [6], and determines
the amino acid substitution p.Gly186Ser of the primary
translation product. The GH residue 186 is located between
helices 3 and 4 of the mature protein; according to some
Authors, the single substitution I186 M in human GH
reduced fivefold its binding to the first receptor, while other
Authors do not report any effect due to substitution of res-
idue 186 [21]. This mutation was analysed with the Panther
[22] and PolyPhen-2 [23] softwares to predict its functional
significance in the gene product. Analysis with Panther
software gave a subSPEC score of -2.87 (higher than -3),
and a P deleterious of 0.467 (lower than 0.5), which means
that probably this coding SNP variant does not affect the GH
protein function, and similar results were obtained with
Polyphen-2. In addition, analysis with NetPhos 2.0 (http://
www.cbs.dtu.dk/services/NetPhos/) server indicated that
the p.Gly186Ser variation does not involve gain or loss of
phosphorylation sites, while analysis with Scansite [24],
when run at a high stringency, hypothesized that Ser186
may introduce a potential PKC_mu phosphorylation motif
at amino acid residues 172–186 of the GH protein.
Mutations in the 30UTR
Several variations were detected at the 30UTR and only one
was common to both GH1/GH2-N and GH2-Z: the inser-
tion/deletion of a Thymine 30 bp downstream the stop
codon (indicated as c.*30delT or c.*29_30insT based on
the reference sequence). An indel at the same position has
also been reported in goat GH gene (GenBank acc. no.
GU355687-9), but with one major difference: the inserted/
deleted nucleotide is a C (not T). Interestingly, a mono-
morphic C occurs at the bovine GH gene at this position.
This site of mutation might bring interesting information
on the phylogeny of Caprines. Moreover, the nt changes
detected in the non-coding regions may affect the regula-
tion of gene expression following the interaction with the
ncRNAs (non-coding RNAs) [25].
The values recorded for milk traits throughout lactation
fall within the range that is typical for the breed (http://
www.assonapa.com/norme_ecc/ovini_llgg/sarda-ovina.htm),
and the fluctuations reflect those of the natural lactation
curve.
At the GH1/GH2-N gene copy, it is interesting to note
the association of pattern A of fragment II and pattern C of
fragment VI with the highest milk yield. These pattern
combinations might be attributed to haplotypes 1 and 2
(Table 4), which were the most frequent, indicating that
these haplotype combinations may have undergone a
positive selection. An influence of fragment VI on the
protein content has been observed at the GH1/GH2-N gene,
which showed the same trend of association with the casein
content, indicating that the influence on the protein content
exerted by some genotypes was due to an influence on the
casein percentage. The correlation of the GH1/GH2-N
5292 Mol Biol Rep (2013) 40:5285–5294
123
copy with the protein percentage was not found by
Marques et al. [6] in Serra da Estrela ewes.
At the GH2-Z gene copy, profile A of fragment I showed
the highest milk yield, it corresponded to the haplotype
combination CC at positions c.-259 and c.-169, respec-
tively. This haplotype combination was involved in a
potential binding site for C/EBPalp transcription factor,
upstream of nt -82, in the region that differs between the
GH1/GH2-N and GH2-Z gene copies. The GH2-Z gene has
been reported to significantly affect milk yield in Serra da
Estrela ewes [6].
Associations of fragment VI with protein and casein
content were evidenced, regardless of the amount of milk
produced. Apparently, the element that differed among
groups within this DNA fragment was the occurrence of an
adenine at the c.556 position (exon-5), corresponding to the
presence of the Ser186 amino acid in the translation
product (pattern C, associated with lower fat, protein and
casein content). So this mutation site might have an
important functional significance, although analysis with
the main softwares did not evidence substantial influences
on the protein function, except for the possible introduction
of a new phosphorylation site.
Associations between polymorphisms within the oGH
gene and milk traits may be due to a direct effect of
pituitary GH gene on the metabolism of lactating sheep, in
relation to the action of the GH1/GH2-N gene copy; or to
the action of GH2-Z gene, expressed in the placenta, which
may exert an indirect effect on milk productions [6]. Also,
it should be taken into account that the effects evidenced
may be due to association of the nucleotide variations
analyzed with causal SNPs, having direct effect on the trait,
yet to be uncovered.
Conclusions
The sheep GH1/GH2-N and GH2-Z gene copies displayed
polymorphic nucleotide changes in the population ana-
lyzed. It was observed, within each gene, a variability of
the promoter regions that might have consequences at the
regulatory level on the expression of the growth hormone,
due to the involvement in potential transcription factor
binding sites.
Both gene copies influenced milk production and com-
position, as some genotypes tended to produce higher milk
yields. These findings expand our understanding about the
sheep GH gene sequence variability and its influence on
milk traits, and may have implications for future strategies
in dairy sheep breeding.
Acknowledgments Research supported by a grant from Regione
Autonoma della Sardegna (L.R.7/2007).
Conflict of interest The authors declare no conflict of interest.
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