Journal Pre-proof Effects of TLR4 overexpression on sperm quality, seminal plasma biomarkers, sperm DNA methylation and pregnancy rate in sheep Yi Fang, Wei Xia, Wentao Cai, Xiaosheng Zhang, Jinlong Zhang, Xiangwei Fu, Sa Li, Xiaohuan Fang, Shuchun Sun, Zhigang Wang, Xiaolei Zhang, Shien Zhu, Junjie Li PII:
S0093-691X(19)30456-X
DOI:
https://doi.org/10.1016/j.theriogenology.2019.10.009
Reference:
THE 15204
To appear in:
Theriogenology
Received Date: 14 May 2019 Revised Date:
4 October 2019
Accepted Date: 9 October 2019
Please cite this article as: Fang Y, Xia W, Cai W, Zhang X, Zhang J, Fu X, Li S, Fang X, Sun S, Wang Z, Zhang X, Zhu S, Li J, Effects of TLR4 overexpression on sperm quality, seminal plasma biomarkers, sperm DNA methylation and pregnancy rate in sheep, Theriogenology (2019), doi: https:// doi.org/10.1016/j.theriogenology.2019.10.009. This is a PDF file of an article that has undergone enhancements after acceptance, such as the addition of a cover page and metadata, and formatting for readability, but it is not yet the definitive version of record. This version will undergo additional copyediting, typesetting and review before it is published in its final form, but we are providing this version to give early visibility of the article. Please note that, during the production process, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. © 2019 Published by Elsevier Inc.
1
Effects of TLR4 Overexpression on Sperm Quality, Seminal Plasma Biomarkers,
2
Sperm DNA Methylation and Pregnancy rate in Sheep
3
Yi Fang1,2,5#, Wei Xia3#, Wentao Cai1, Xiaosheng Zhang4, Jinlong Zhang4, Xiangwei Fu2, Sa Li1,
4
Xiaohuan Fang1, Shuchun Sun1,6, Zhigang Wang1,6, Xiaolei Zhang3, Shien Zhu2*, Junjie Li1,6*
5
1. College of Animal Science and Technology, Hebei Agricultural University, Baoding, China;
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2. College of Animal Science and Technology, China Agricultural University, Beijing 100193,
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China
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3. College of Life Science and Technology, Southwest Minzu University, Chengdu, China;
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4. Animal Husbandry and Veterinary Research Institute of Tianjin, Tianjin, China;
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5. Jilin Provincial Key Laboratory of Grassland Farming, Northeast Institute of Geography and
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Agoecology, Chinese Academy of Sciences, Changchun, Jilin 130062, China
12
6.Research Center of Cattle and Sheep Embryo Engineering Technique of Hebei Province,
13
Baoding, China
14
#
15
*
16
University, Baoding 071000, China
17
E-mail:
[email protected]
18
*
19
University, Beijing 100193, China
20
E-mail:
[email protected]
21 22 23 24 25 26 27
These authors contributed equally to this work.
Corresponding author at: College of Animal Science and Technology, Hebei Agricultural
Corresponding author at: College of Animal Science and Technology, China Agricultural
28
Abstract
29
Genetic modification provides a means to enhancing disease resistance in animals. In this
30
study, the first generation of genetically modified (GM) sheep overexpressing TLR4 was
31
produced by microinjection for better disease resistance. To compare semen characteristics
32
including sperm quality, seminal plasma biochemical index, sperm DNA methylation and
33
pregnancy rate of three-year old transgenic sheep with TLR4 overexpressed (toll like receptor
34
4, TLR4) and non-transgenic ram. Sixteen transgenic ram of F0 generation were produced by
35
microinjection of the TLR4 plasmid into the pronucleus of fertilized ova. Seven transgenic
36
sheep of F1 generation was produced by breeding F0 transgenic founders with non-transgenic
37
sheep of the same breed. There were no significant differences between transgenic and control
38
rams for all semen quality parameters, including semen volume, sperm concentration, sperm
39
viability, and percentages of sperm with an intact plasma membrane, acrosomal integrity, and
40
viable sperm with high mitochondrial membrane potential in both F0 and F1 generation.
41
Furthermore, no significant differences were found for seminal plasma concentrations of zinc,
42
neutral alpha-glucosidase, acid phosphatase or fructose, nor for levels of H19 and IGF2R
43
methylation in sperm DNA. In addition, pregnancy rate was also similar between these two
44
groups. In conclusion, there was no evidence that TLR4 overexpression altered the sperm
45
quality, seminal plasma or sperm DNA of transgenic sheep.
46
Key words: TLR4 overexpression; semen quality; DNA methylation; sheep
47
48
1. Introduction
49
TLR4 (toll like receptor 4, TLR4) is an important Toll-like receptor in the innate immune
50
system which responds to common Gram-negative bacteria, e.g., Escherichia coli,
51
Proteusbacillus vulgaris, Shigella dysenteriae, and Brucella melitensis [1]. It is critical for the
52
recognition of lipopolysaccharide (LPS)/endotoxin from Gram-negative bacteria by different
53
host cells initiating cell activation and subsequent triggering of a proinflammatory response to
54
invading pathogens [2-5]. Overexpression of TLR4 in transgenic animals improved disease
55
resistance [6]. However, exogenous gene may insert at a suboptimal site, altering a balanced
56
genotype and producing unpredictable effects [7, 8].
57
Reproductive traits of transgenic male animals can affect creation of stable lines of
58
transgenic offspring. Interactions between the immune system and the reproductive system
59
have important consequences for fertility and reproductive health in general [9]. The TLR4
60
gene is closely associated with ovulation, fertilization, pregnancy and delivery in animals and
61
can activate the innate immune system against reproductive diseases [10]. Although
62
reproductive disorders including decreased fertility, infertility and structural and functional
63
defects of sperm have been reported in growth hormone transgenic mice and pigs [11-13],
64
there were no effect in physiological and biochemical blood characteristic, oocyte methylation
65
and reproductive performance in overexpressing Capra hircus TLR2 goats [14] and TLR4
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sheep [15]. Consequently, the reports on the biological safety of transgenic animals are
67
inconsistent.
68
The normal sperm morphology and motility are important for fertility potential of the male.
69
Defected sperm has been associated with lowered fertility and following embryo development,
70
and reduced capacity of binding to the ovum. Moreover, seminal plasma concentrations of
71
zinc, fructose, acid phosphatase and neutral alpha-glucosidase were significantly correlated
72
with sperm count, morphology, motility and semen volume [16, 17]. In addition, transgenic
73
technology may change the stable equilibrium state of the genome and cause unpredictable
74
effects [18], the interactions of endogenous and exogenous genes might cause epigenetic
75
modifications in DNA [19], as frequently reported in studies of mice [20].
76
DNA methylation, a crucial impact in gene expression and chromosomal structure during
77
early embryogenesis [21] or germ cell development [22] can regulate gene expression during
78
spermatogonial stem cell differentiation [23]. Various forms of assisted reproductive
79
treatments can alter DNA methylation and impact embryonic development [24] or random
80
insertion and expression of exogenous genes may alter DNA methylation [25, 26]. H19 and
81
Insulin-like growth factor 2 receptor (IGF2R) are frequently studied imprinted genes
82
regulating early fetal growth [27], and are also essential for normal spermatogenesis and
83
regulation [28-31]. Abnormal DNA methylation of differential methylated regions (DMR) in
84
imprinted genes may cause biallelic expression or silencing [32]. Therefore, analysis of H19
85
and IGF2R methylation patterns of sperm can serve as important indicators of reproductive
86
performance.
87
In the present study, transgenic sheep with TLR4 overexpression were used as a model to
88
assess reproductive safety by analyzing semen quality, seminal plasma biochemical markers
89
and DNA methylation level of sperm.
90
2. Materials and methods
91
All experimental protocols and animal handling procedures were reviewed and approved
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by the Laboratory Animal Care and Use Committee of Hebei Province.
93
2.1. Animals
94
Transgenic males with the TLR4 gene overexpressed were produced as described in
95
previous publications [14, 33, 34] and the production workflow of transgenic animals were
96
summarized in Figure 1. For this study, thirty five rams of the F0 generation (transgenic rams:
97
n=16, non-transgenic rams: n=19) and eighteen rams of the F1 generation (transgenic rams:
98
n=7, non-transgenic rams: n=11) were selected with the same breed and age. All males were
99
raised in the same rearing environment and fed the same forage and commercial concentrate
100
supplement year-round. All animal experiments in this study were approved by the
101
Institutional Animal Care and Use Committee of China Agricultural University.
102
2.2. Semen collection and processing
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Semen samples from each ram (transgenic and non-transgenic) were collected once a week
104
using an artificial vagina (AV) containing water maintained at approximately 38~40°C. A
105
graduated collecting tube attached to the disposable sleeve inside the AV was used to evaluate
106
semen volume. Semen parameters analyzed included volume, concentration, viability,
107
percentages of sperm with plasma membrane integrity, acrosomal integrity, and high
108
mitochondrion membrane potential. Five ejaculates per male were analyzed.
109
2.3. Sperm concentration
110
After collection, semen was kept in an incubator at 41°C [35]. A portion of the semen was
111
extended 1:99 with physiological saline and sperm concentration (109 sperm/mL ejaculate)
112
was determined using a hemocytometer and evaluation with a microscope at 400×. Two
113
counts were made for each individual and averaged. If counts differed by 30% or more,
114
concentration was re-analyzed.
115
2.4. Fluorescent staining to assess sperm parameters
116
2.4.1. Apparatus
117
Flow cytometer analyses were done with a FACSCalibur (Becton Dickinson, Mountain
118
View, USA) equipped with 15 mW air-cooled argon laser and a 488 nm excitation filter
119
(Supplementary figure 1). After acquisition, data were evaluated with CELLQuest (Becton
120
Dickinson) software.
121
2.4.2. Sperm viability
122
Sperm viability was analyzed, as described previously [36], using a LIVE/DEAD
123
Spermatozoa Viability Kit (Invitrogen, L-7011). Briefly, SYBR-14 was diluted 1:50 with
124
dimethyl sulfoxide (DMSO: SYBR-14 working solution) and 5 µL of SYBR-14 working
125
solution was added to 1 mL of diluted semen to achieve a final concentration of 1×106
126
cell/mL. Then, 5 µL of propidium iodide (PI) solution (Molecular Probes Inc.,Eugene, OR,
127
USA) was added. After 10 min of incubation at 37°C, sperm viability was evaluated by flow
128
cytometry. The SYBR-14 and PI, excited at 488 nm, were read with 530/30nm bandpass
129
emission filter (FL1) and 650/13 nm bandpass emission filter (FL3), respectively. On
130
FL1/FL3 dot-plot, percentages of live sperm (SYBR-14+) and dead sperm (PI+) were
131
evaluated.
132
2.4.3. Acrosome integrity
133
Acrosomal status was assessed using FITC-PNA (lectin agglutinin of Arachis hypogaea,
134
L-7381, Sigma Chemical, St. Louis, MO, USA) and PI. The FITC-PNA was dissolved in
135
DMSO to achieve a storage solution at 1 mg/mL and stored at -20°C avoiding light. Then,
136
aliquots of 100 µL of each semen sample (1×106 sperm/mL) were incubated at room
137
temperature in the dark for 5 min with 1 µg/mL FITC-PNA (marker for acrosomal status) and
138
6 µM PI (marker for cell death), as described [37]. On a FL1/FL3 dot-plot, percentages of
139
acrosome-reacted live (ARL) and acrosome-reacted dead (ARD) sperm were evaluated as
140
populations with high green fluorescence (FL1), without or with high red fluorescence (FL3),
141
respectively.
142
2.4.4. Mitochondrial membrane potential
143
The 5,5',6,6'-tetra-chloro-1,1',3,3'-tetraethylben-zimidazolyl-carbocyanine iodide (JC-1,
144
T3168, Molecular Probes, Eugene, OR, USA) and PI were used to assess mitochondrial
145
membrane potential status of sperm, as described [38], with some modifications. The JC-1
146
was dissolved in DMSO to achieve a stock solution (3 mM), and it was diluted 10-fold with
147
PBS to create a working solution. Semen was diluted to a concentration of 1×106 sperm/mL in
148
PBS and 100 µL of the suspension was incubated with 10 µL of JC-1 for 30 min at 37°C in a
149
water bath shielded from light. When mitochondrial membrane potential is high, JC-1
150
reversibly changes its fluorescence from green (monomeric status) to orange (multimeric
151
status) [39]. Emission filters of 585/42 nm bandpass were used to measure green (FL1) and
152
orange (FL2) fluorescence, indicating low and high mitochondrial membrane potential (lMMP
153
or hMMP, respectively), and percentage of cells with hMMP was assessed with CELL QUEST
154
software on FL1/FL2 dot-plot.
155
2.5. Seminal plasma markers assessment
156
Seminal plasma was separated from sperm as described [40], with modifications. Each
157
semen sample was centrifuged at 3000 × g for 20 min at 4 °C within 1 h after collection. The
158
supernatant was decanted and stored at -80°C until used. Seminal plasma biochemical
159
markers assessed were zinc (Zn: Boruide Biotechnology Co., Ltd, China), neutral
160
alpha-glucosidase (NAG: Boruide Biotechnology Co., Ltd, China), acid phosphatase (ACP:
161
Boruide Biotechnology Co., Ltd, China) and fructose (Huakang Biomedical Engineering
162
Co Ltd, China). Concentrations of these markers were determined in clear 96-well plates
163
using a Multiskan MK3 (Thermo Fisher Scientific, USA).
164
2.6 Sperm motility
165
For each sperm sample, a computer-aided sperm analysis system (CASA, Minitube,
166
Tiefenbach, Germany) was used to determine: total motility (TM, %), progressive
167
motility (PM, %), curvilinear velocity (VCL, µm/s), progressive velocity (VSL, µm/s),
168
and path velocity (VAP, µm/s). In brief, sperm concentration was calculated using a
169
sperm density meter (Minitube) after dilution to 2.0 × 10 7 /mL in PBS in each group and
170
incubation in a water bath at 37 °C for 5 min. Then, 5-µL of sample was placed on a
171
preheated glass slide (37 °C). For each sample, five non-consecutive microscopic fields
172
were randomly chosen on the slide and three slides per sample examined under 200 ×
173
magnification using a phase contrast microscope (Axio Scope A1, Carl Zeiss,
174
Oberkochen, Germany).
175
2.6. Sperm DNA methylation analysis
176
2.6.1. Sperm genomic DNA extraction
177
Genomic DNA was extracted from sperm using a TIANamp Genomic DNA kit (Tiangen
178
Biotech, Beijing, China), according to the manufacturer’s instructions and as described [41].
179
Briefly, each 1.5 mL of semen sample was centrifuged at 1 000 g for 10 min. The sperm
180
pellet was re-suspended in 200 µL of buffer GA and mixed with 20 µL of proteinase K. The
181
solution was added with 200 µL of buffer GB and incubated at 70°C for 10 min before adding
182
200 µL of absolute ethanol. The mixture was transferred to a spin column CB3 and
183
centrifuged at 12 000 g for 30s. The supernatant was discarded, and 500 µL buffer GD was
184
added to the CB3 tube and it was centrifuged at 12 000 g for 30 s. Subsequently, 600 µL of
185
buffer PW was added to the tube and it was centrifuged at 12 000 g for 30 s. The entire
186
process was repeated. Afterward, the CB3 tube was placed in a new 2.0 mL collection tube
187
and 50 µL of buffer TE added to dissolve DNA, followed by centrifugation at 12 000 g for 2
188
min.
189
2.6.2. Bisulfite Conversion and DNA Recovery
190
DNA samples were treated using the EpiTect Bisulfite Kit (Qiagen, Germany) for complete
191
bisulfate conversion, as described [42], with some modifications. Briefly, 2 µg DNA in 20 µL
192
volume was used for each reaction and mixed with 85 µL bisulfate mix and 15 µL DNA
193
protect buffer. Bisulfite conversion was performed using the following thermal profile: 95°C
194
for 5 min, 60°C for 25 min, 95°C for 5 min, 60°C for 85 min, 95°C for 5 min, 60°C for 175
195
min and thereafter 20°C. Bisulfite-treated DNA was recovered with an EpiTect spin column
196
and sequenced to confirm the efficiency of bisulfite conversion. Bisulfite-converted DNA was
197
immediately used for PCR.
198
2.6.3. Primers and PCR assay
199
Specific primers for amplification and sequencing of DMRs of H19 (Accession: AJ566210,
200
position: 2926-3070) and IGF2R (Accession: AY182033, position: 141-290) were designed
201
using the PyroMark Assay Design2.0 (Table 1). The PCR was continued for 40 cycles after
202
an initial denaturation at 95°C for 3 min. Each cycle of PCR consisted of 30 s at 94°C, 30 s at
203
annealing temperature (56°C), and 60 s at 72°C, and a final extension for 7 min at 72°C. The
204
H19 was analyzed by pyrosequencing using a pair of primers covering a total of 11 CpGs
205
(corresponds to the EMBL/Gen Bank accession number AJ566210 at the 6th CTCF-binding
206
site). However, Igf2r was designed three pair of primers covering a total of 15 CpGs
207
(corresponds to the EMBL/Gen Bank accession number AY182033 at the 2nd DMR) due to
208
the limitation to analyzing amplicons >80 bp by pyrosequencing.
209
2.6.4. Pyrosequencing
210
Pryosequencing was done as described [43], with some modifications. For this, 40µL of
211
PCR product was incubated for 10 min at room temperature with shaking in the presence of 38
212
µL of binding buffer (10 mM Tris, 2 M NaCl, 1 M EDTA, 0.1% Tween 20; pH 7.6; adjusted
213
with 1 M HCl) and 2 µL of streptavidin-coated Sepharose beads (GE Healthcare) after
214
verification by standard gel electrophoresis on 1.5% agarose gel. The binding mix was purified
215
and rendered single stranded using the Pyrosequencing Vacuum Prep Workstation
216
(Pyrosequencing AB), according to the manufacturer’s instructions. Beads were released into
217
40 µL annealing buffer (20 mM Tris, 2 mM magnesium acetate tetrahydrate; pH 7.6; adjusted
218
with 4 M acetic acid) containing 1.5 µL of the respective sequencing primer. The primers were
219
annealed to the target by incubation at 85°C for 2 min. Pyrosequencing was performed on a
220
PyroMark Q96ID Pyrosequence System (QIAGEN) and data analyzed with Pyro Q-CpG
221
Software (QIAGEN). Methylation analyses were done in duplicate.
222
2.7. Statistical analysis
223
Each experiment was repeated at least three times. All computations were performed using
224
SPSS (Version 20.0 for Windows; SPSS). Data for two groups was compared by one-way
225
ANOVA. Data are presented as the mean ± SD. In all cases, P<0.05 was considered
226
significant.
227
3. Results
228
3.1. Seminal parameters from transgenic and wild type sheep
229
There were no significant differences between transgenic and non-transgenic sheep for
230
ejaculate volume, sperm concentration, or for percentages of live sperm, viable sperm with an
231
intact plasma membrane, viable sperm with an intact acrosome and viable sperm with high
232
mitochondrial membrane potential in both F0 and F1 generation (Table 2).
233
No significant differences were found between transgenic and non-transgenic sheep
234
groups for mean concentrations of zinc, Neutral α-glucosidase, acid phosphatase, or fructose
235
(Table 3).
236
3.2 CASA Motility parameters from transgenic and wild type sheep
237
The results of the motility parameters of the semen with TRL4 overexpression and wild
238
type, which were analyzed with CASA, are displayed in Figure 2. There was no significant
239
difference (P < 0.05) in all the motility parameters at transgenic sheep to any wild type
240
control in both F0 and F1 generation.
241
3.3. H19 and Igf2r methylation levels of spermatozoa DNA from transgenic and wild
242
type sheep
243
To determine whether insertion and expression of exogenous genes influenced DNA
244
methylation levels of imprinted genes in sperm, regions including 11 CpGs located in the H19
245
DMR, 15 CpGs located in the IGF2R DMR2 were chosen for analysis using pyrosequencing.
246
As shown in Figure 3, there were no significant differences between TLR4 transgenic sheep
247
and control group for mean H19 (Fig.2A) or IGF2R (Fig. 2B) DMR methylation.
248
3.4 Pregnancy rates after artificial insemination with sperm from both the transgenic
249
and wild type sheep
250
The pregnancy rates after artificial insemination with sperm from both the transgenic and
251
wild type control are displayed in Figure 4. There is no significant difference between the
252
TRL4 overexpression group and control.
253 254
4. Discussion
255
For successful applications of genetic engineering in animal production systems, animal
256
health and welfare should also be considered. The main aim of this study was to compare
257
semen characteristics, including sperm quality, seminal plasma biochemical index, and
258
methylation of sperm DNA of transgenic sheep with TLR4 and non-transgenic counterparts.
259
All values for the semen traits of control and transgenic sheep were within normal ranges [44],
260
with no significant differences between transgenic and wildtype sheep for any parameter
261
measured. Similar findings have been reported for transgenic cattle and rabbits [45, 46].
262
Antimicrobial protection of male reproductive organs is an essential aspect of
263
reproductive physiology [47]. Because of the role of the epididymis in sperm maturation and
264
storage, it is also critical that the epithelium of the male reproductive tract be protected from a
265
variety of pathogens that can invade the tract, including pathogens that cause sexually
266
transmitted diseases [48]. A number of viruses also infect the male reproductive tract [48].
267
Toll-like receptors (TLRs) are a large family of highly conserved proteins that are essential
268
pathogen-specific recognition sensors of the innate immune system, which are also involved
269
in induction of adaptive immune responses [5, 49]. Although little is known about the
270
significance of TLRs in the male reproductive tract, the abundant expression of a majority of
271
TLR family members together with expression of TLR adaptors and activation targets
272
provides strong evidence that TLRs play important roles in innate immunity of the male
273
reproductive tract [50] .
274
In addition, a number of studies have reported the presence of TLR family members in
275
the female reproductive tract of mice [51] and humans [52-54]. In humans, Tlr2 and Tlr4
276
appear to show differential expression patterns in the fallopian tube, endometrium, cervix, and
277
ectocervix [52] . As reviewed by Wira et al. [55], it is becoming clear that TLRs are important
278
for innate immunity of the female reproductive tract; yet, by comparison. TLR4 contributes to
279
seminal fluid modulation of the periconception immune environment. Activation of TLR4
280
signaling is thus implicated as a key element of the female tract response to seminal fluid at
281
the outset of pregnancy [56] and may thus plausibly contribute to the establishment of
282
maternal immune tolerance induced by seminal fluid [57].
283
Semen quantity (volume, concentration and total number of sperm per ejaculate) and
284
quality (percentage of motile sperm, sperm progressive motility and percentage of abnormal
285
sperm) of sheep are influenced by many factors, including breed [58], age [59], environment
286
[60-62] and nutrition [63]. Sperm viability, acrosome integrity, plasma membrane status and
287
high mitochondrial membrane potential have been correlated with fertilization capacity [64].
288
Similar results have been reported by Yao et al (2017) on the fact that the presence and
289
expression of the TLR4 transgene in the genome does not interfere with normal semen
290
production[65].
291
Seminal plasma biochemical markers are key factors that affect sperm life-span [66]. For
292
example, seminal plasma zinc, secreted by the prostate, is closely related to spermatogenesis
293
[67], sperm count and percentage of sperm with normal morphology [17]. Seminal plasma
294
acid phosphatase, also secreted by the prostate, is correlated to male fertility and often used as
295
a specific marker for determining the activity of the prostate gland [68]. Concentrations of
296
α-glucosidase in seminal plasma are positively correlated to sperm count [69] and percentage
297
of motile sperm [70], and they reflect the functional state of the epididymis. In addition,
298
α-glucosidase concentrations in seminal plasma may be useful for differential diagnosis of
299
certain cases with azoospermia [71]. Seminal plasma fructose, an energy source for sperm, is
300
derived from the seminal vesicles and is therefore a suitable marker for the secretory function
301
of this accessory sex gland [72]. Fructose is significantly correlated with semen volume,
302
spermatozoa count, motility and morphology [16]. In the present study, seminal plasma
303
concentrations of zinc, acid phosphatase, α-glucosidase and fructose were not significantly
304
altered between groups. Therefore, the TLR4 transgene in the genome of these rams did not
305
interfere with normal seminal plasma markers, or the secretion function of reproductive
306
organs, including prostate, epididymis and seminal vesicles.
307
Imprinted genes methylation, especially methylation of H19 (related to the paternal allele),
308
is important for spermatogenesis [73]. Methylation of H19 first appeared in a subset of
309
spermatogonia and then was maintained in spermatocytes, spermatids and mature sperm [28].
310
Many previous studies indicated that abnormal semen parameters (e.g. sperm motility and
311
concentration) are associated with methylation of H19 in infertile patients [29, 74-76]. In the
312
present study, methylation levels of H19 DMR CpG1-11 sites were similar between
313
transgenic and non-transgenic sheep (Figure 3A), suggesting that TLR4 gene insertion did not
314
impact the DNA methylation level at H19. This was consistent with our findings of no effects
315
on semen quality.
316
Insulin-like growth factor-2 receptor (IGF2R), another extensively studied imprinted gene,
317
is generally imprinted on the paternally inherited allele and expressed from maternal allele
318
dependent to the imprinting control region (ICR) differentially methylated [77, 78].
319
Methylation of IGF2R DMRs may be an indicator to assess sperm reprogramming status.
320
There were overall low DNA methylation levels in the 25th and 26th CpG sites of the IGF2R
321
gene in Bos taurus sperm [79]. Results from sperm sex-sorted with flow cytometry suggested
322
that the overall DNA methylation level of the IGF2R gene was not affected by sex-sorting
323
[31]. Given the importance of epigenetic modifications in sperm, we investigated methylation
324
levels of IGF2R. Somatic cell nuclear transfer procedures in sheep can lead to abnormal DNA
325
methylation at IGF2R [80]. However, in the present study, the methylation level of IGF2R
326
DMR CpG1-15 sites in transgenic was not significantly different from the non-transgenic
327
group (Figure 3B). Therefore, we inferred that there was no change in IGF2R methylation
328
level due to insertion of an exogenous TLR4 gene.
329
To the best of our knowledge, this was the first report of DNA methylation of imprinted
330
genes in sperm of transgenic sheep. We confirmed that DNA methylation of H19 and IGF2R
331
imprinted genes in the transgenic sheep was similar with that of our control group. Based on
332
the biological functions of H19 and IGF2R [29, 31], we inferred that normal methylation
333
levels of H19 and IGF2R were suggestive that reproduction was not altered in TLR4
334
transgenic sheep. However, only two regions of the genome were assessed, and it is possible
335
that other methylation errors were not detected. In addition, compared with genome-wide
336
methylation
337
comprehensive although DMRs are regarded as possible functional regions involved in gene
338
transcriptional regulation[81]. Genome-wide methylation analysis is required for this kind of
339
study with the development of DNA sequencing technology.
340
5. Conclusions
analysis,
differentially
methylated
regions (DMRs)
analysis
are
not
341
Based on the results of semen quality, seminal plasma biochemical markers, imprinted
342
genes methylation and pregnancy rate between treated and control group, we concluded that
343
overexpression of TLR4 had no effect on reproductive potential of transgenic sheep.
344 345
Acknowledgements
346
This work was supported by Hebei Province Science and Technology Support Program
347
(17226613D), Natural Science Foundation of Hebei Province of China (C2019204260),
348
Tianjin Science and Technology Project (17ZXZYNC00040), Key Special Projects of
349
Breeding New Varieties of Genetically Engineered Organisms in China (2011ZX08011-004),
350
Young Scientists Fund of the National Natural Science Foundation of China (31900586).
351
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571 572
2011;39:e58.
573 574
Table 1: Designed Primer Sequence Genes
IGF2R -1
Primer
Sequence (5’-3’)
Forward
GGGGTAGGAGTTAGAGTAGAAATTTT
Reverse
ACCTTCTCAACACCTTACTCA
Sequencing
TTTTTTTGGTGAAGGAA
Amplicon
CACGCGAAACAGTACACGTCGAAAGACACG
Number
Amplicon
of CpGs
length (bp)
5
41
5
32
8
60
11
71
ATACAACAGAA
IGF2R -2
Forward
GTAGGGGGTTTTTTTTTTGGTGAAGGAATA
Reverse
ACCTTCTCAACACCTTACTCA
Sequencing
GAAAGATAAGATATAATAGA
Amplicon
ACGGGGCGTGTTCCGCGAGGGGGCGGCCTG GC
IGF2R -3
Forward
TGGAGTGTTTATAGAAAGAGGAGTAG
Reverse
ACCTTCTCAACACCTTACTCA
Sequencing
ACACCTTACTCAAAACCTA
Amplicon
GTGTTCCGCGAGGGGGCGGCCTGGCCG GAGCACGTCGGAGAGGGCTAGCGGCCC GGCTGG
H19
Forward
GGTTGTGGGTGTGGAGATA
Reverse
AACTCTCAAATCTAAATCCACCTCAAT
Sequencing
GGTGTGGAGATAGATG
Amplicon
CGGCCGCGAGGCGGCAGTGCGGGCGCGA GCATCGCCGCCTGCGGCCGCTGTGCCTGA AGTCTGATTATGGC
575 576 577 578 579
580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604
Figure 1 the flowchart of transgenic animal production
605
Table 2: The parameters of sperm quality from transgenic (TG) and wild type (WT) sheep in both
606
F0 and F1 generation F0
F1
Control a (n=19)
Transgenica (n=16)
Control a (n=11)
Transgenic a (n=7)
1.25±0.20
1.02±0.17
1.19±0.19
1.06±0.21
Semen concentration (10 /mL)
2.28±0.27
2.41±0.09
2.18±0.23
2.11±0.15
Percentage of live spermatozoa (%)
77.28±1.28
78.73±5.02
75.12±1.07
72.65±2.13
66.51±1.73
69.84±5.08
63.43±1.96
62.37±3.37
76.72±1.40
76.87±3.74
74.12±1.25
73.54±2.52
51.46±2.70
52.55±3.69
50.39±1.99
49.78±2.66
Parameters
Ejaculate volume (mL) 9
Percentage of viable spermatozoa with an intact plasma membrane(%) Percentage of viable spermatozoa with intact acrosome(%) Percentage of viable spermatozoa with high mitochondrial membrane potential(%) 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622
Note: a No significant differences were detected between control and transgenic animals (P>0.05)
623
Table 3 Seminal plasma biochemical parameters in transgenic and wild type sheep Zinc
Groups
Neutral α-glucosidase
Acid phosphatase
(mM)
(mM) (U/L)
Control a (n=19) a
Transgenic (n=16) 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639
Fructose
(U/mL)
0.37±0.01
0.72±0.03
4.07±1.33
28.68±2.31
0.33±0.06
0.72±0.17
4.49±1.12
20.77±5.29
Note: a No significant differences were detected between control and transgenic animals (P>0.05)
640 641
Figure 2 CASA Motility parameters from transgenic (TG) and wild type (WT) sheep in both F0 and F1
642
generation
643 644 645 646 647 648 649 650 651 652 653 654
655
656 657
Figure 3 Statistical methylation analysis of H19 and IGF2R DMR in sperm achieved via pyrosequencing
658
for TLR4 transgenic sheep and non-transgenic sheep. A) Mean percentage methylation levels of H19
659
DMR (CpG1-11). B) Mean percentage methylation levels of IGF2R DMR (CpG1-15). Mean±SD values
660
are plotted.
661 662 663
664 665
Figure 4 Pregnancy rate of transgenic (TG) and wild type (WT) sheep in both F0 and F1 generations
No significant difference semen quality parameters for transgenic sheep No significant difference of CASA motility parameters for transgenic sheep No significant difference of H19 and IGF2R methylation levels in sperm DNA. Pregnancy rate were also similar between transgenic and control sheep.