DNA methylation and gene expression changes derived from assisted reproductive technologies can be decreased by reproductive fluids

  1. Sebastian Canovas
  2. Elena Ivanova
  3. Raquel Romar
  4. Soledad García-Martínez
  5. Cristina Soriano-Úbeda
  6. Francisco A García-Vázquez
  7. Heba Saadeh
  8. Simon Andrews
  9. Gavin Kelsey
  10. Pilar Coy  Is a corresponding author
  1. Universidad de Murcia-Campus Mare Nostrum, Spain
  2. Instituto Murciano de Investigación Biosanitaria, Spain
  3. The Babraham Institute, United Kingdom
  4. University of Cambridge, United Kingdom
9 figures, 4 tables and 4 additional files

Figures

Schematic representation of three different sperm processing protocols used for in vitro fertilization.

Swim-up-BSA: NaturARTs PIG medium + BSA; Swim-up-Fluid: NaturARTs PIG medium + POF-LF*. Density gradient centrifugation: centrifugation through a discontinuous Percoll: gradient (45% and 90% v/v). *POF-LF: porcine oviductal fluid collected at the late follicular phase of the estrous cycle. Red box represents the portion of the reproductive tract whose conditions we tried to resemble in vitro. IVF results after using these three different sperm processing protocols are included in Table 1.

https://doi.org/10.7554/eLife.23670.003
Schematic representation of the different steps of the new IVF/EC system.

Swim-up-BSA or Swim-up-Fluid protocols were used for IVF. Previously, oocytes were preincubated in OF-LF for 30 min. Then, each group of putative zygotes were incubated in different media (0–8 hr, 8–48 hr and 48 hr-7days) as indicated in the diagram. O*: ovary with hemorrhagic corpus luteum; O**: early corpus luteum; OF-LF: oviductal fluid-late follicular phase of the estrous cycle; OF-EL: oviductal fluid-early luteal phase of the estrous cycle; UF-EL: uterine fluid-early luteal phase of the estrous cycle. Swim-up-BSA: NaturARTs PIG medium + BSA; Swim-up-Fluid: NaturARTs PIG medium + POF-LF. TALP: culture medium used for IVF. NCSU23: culture medium used for embryo development in vitro supplemented with sodium lactate, pyruvate and non-essential amino acids (NCSU23a) or with glucose and essential and non-essential amino acids (NCSU23b).

https://doi.org/10.7554/eLife.23670.005
Gene expressed analysis in blastocysts obtained in vivo, by the Natur-IVF system or by C-IVF system.

(A) Heatmap of global gene expression (with log2 fold change >1.5 and adjusted B-H p-value < 0.05). Numbers denote ID of a specific embryo. (B) Principal Component Analysis (PCA) of the RNA-Seq samples: In vivo embryos (IV, red), Natur-IVF (N, green) and C-IVF (C, blue). Numbers denote ID of specific embryos. (C) Venn diagram with DEGs (Figure 3—source data 1). *, #, § denotes DEGs exclusive for C-IVF, Natur-IVF and In vivo, respectively (Figure 3—source data 2). (D) Heat map of gene expression of key genes associated with embryo development/differentiation, epigenetic reprogramming, cell cycle/cell growth, gene expression and imprinting.

https://doi.org/10.7554/eLife.23670.007
Figure 3—source data 1

Differentially expressed genes (DEGs) for pair-wise comparisons (C-IVF vs Natur-IVF, In vivovs Natur-IVF, C-IVF vs In vivo) and list of all gene expression values.

This data relates to Figure 3C.

https://doi.org/10.7554/eLife.23670.008
Figure 3—source data 2

DEGs exclusives for each group: 328 DEG exclusive In vivo, 7 DEGs exclusive Natur-IVF and 13 DEGs exclusive C-IVF.

This data relates to Figure 3C.

https://doi.org/10.7554/eLife.23670.009
Distribution of methylation levels and general view of the methylation profiles of 9 individual pig blastocysts.

(A) Distribution of methylation percentages across tiles of 150 CpGs on the pig genome for three groups of blastocysts (In-vivo, C-IVF and Natur-IVF). (B) Random browser shot as example of methylation landscape of the nine individual blastocysts analysed (Chr8:37027152–118458156). The two first rows in the picture represent the genes and CpG islands annotated (Ensembl, RRID:SCR_006773 Sus scrofa 10.2) in the pig genome, respectively. Color scale represents methylation levels from red (highest methylation, up to 25%) to blue (lowest methylation-0%).

https://doi.org/10.7554/eLife.23670.010
DNA-methylation analysis in blastocysts obtained in vivo, by the Natur-IVF system or by C-IVF system.

(A) Principal Component Analysis (PCA) of the DNA methylation samples: In vivo embryos (red), Natur-IVF (green) and C-IVF (blue). Numbers denote ID of specific embryo. (B) Venn diagram of DMRs by pair-wise comparison (adjusted-p <0.05). Number of DMRs with higher (↑) or lower (↓) methylation in each pair-wise comparison are indicated (Figure 5—source data 1). (C) Heatmap of the 417 DMRs between the C-IVF group and the other two groups (In vivo and Natur-IVF). (D) Heatmap of the 324 DMRs between Natur-IVF group and the other two groups (In vivo and C-IVF). (E) Heatmap of the 448 DMRs between the In vivo group and the other two groups (Natur-IVF and C-IVF). For C, D and E (Figure 5—source data 2): Relative methylation measure as the difference in percent of methylation from the median methylation across all samples.

https://doi.org/10.7554/eLife.23670.012
Figure 5—source data 1

All differentially methylated regions (DMRs) for each pair-wise comparison (C-IVF vs Natur-IVF, In vivo vs Natur-IVF, C-IVF vs In vivo).

This data relates to Figure 5B.

https://doi.org/10.7554/eLife.23670.013
Figure 5—source data 2

Differentially methylated regions (DMRs) exclusive for each group (C-IVF, Natur-IVF, In vivo). This data related to Figure 5B,C,D and E.

https://doi.org/10.7554/eLife.23670.014
Top Diseases and Bio Functions linked by Ingenuity Pathways Analysis to DMRs exclusive for each group with low or high methylation.
https://doi.org/10.7554/eLife.23670.015
Methylation differences at IGF2R.

(A) Methylation quantitation at IGF2R from the unbiased analysis of genome methylation in SeqMonk with a fixed size of 150 CpG windows. Mean percentages of methylation are shown by the bars for each group. Blue (unmethylated) and red (methylated) dots represent methylation reads. Asterisks indicate that methylation at the indicated region showed significantly different values (p<0.05) in Natur-IVF (*) and In vivo (**) vs C-IVF. TSS: transcription starting site. (B) Detailed view and methylation quantitation of the CpGi at the identified IGF2R DMR. Red rectangles represent, as indicated, CpG islands of the genes. Black boxes indicate the position of the targeted features, whose mean percentages of methylation are shown by the bars for each group. Blue (unmethylated) and red (methylated) dots represent methylation reads.

https://doi.org/10.7554/eLife.23670.016
Methylation quantitation at NNAT from the unbiased analysis of genome methylation in SeqMonk with a fixed size of 150 CpG windows.

Black boxes indicate the position of the selected 150 CpG windows, whose mean percentages of methylation are shown by the bars for each group. Blue (unmethylated) and red (methylated) dots represent methylation reads. Asterisks indicate that methylation at the indicated region (black box) showed significantly different values (p<0.05) in Natur-IVF (*) and In-vivo (**) vs C-IVF.

https://doi.org/10.7554/eLife.23670.017

Tables

Table 1

IVF results after using three different sperm processing protocols (Density gradient, Swim-up-BSA and Swim-up-Fluid) as represented in Figure 1. a,b: Different letters in the same column indicate values statistically different (p<0.05). Penetration: proportion of oocytes penetrated by one or more spermatozoa. Monospermy: Monospermy percentage, calculated from penetrated oocytes, represents the proportion of penetrated oocytes with only one spermatozoon inside the ooplasm. Spermatozoa/Oocyte: Mean number of sperm per penetrated oocyte. Spermatozoa/ZP: Mean number of spermatozoa attached to ZP per oocyte. Yield: Percentage of putative zygotes per oocyte.

https://doi.org/10.7554/eLife.23670.004
Sperm processing methodNPenetration (%)Monospermy (%)Spermatozoa/OocyteSpermatozoa/ZPZygote yield (%)
Density gradient centrifugation10584.3 ± 3.6a17.4 ± 4.1a8.4 ± 0.7a17.3 ± 2.3a14.6 ± 0.1a
Swim-up-BSA18069.6 ± 3.5b42.7 ± 4.6ab2.1 ± 0.1b7.2 ± 0.5b29.7 ± 0.2b
Swim-up-Fluid18371.1 ± 3.4b49.6 ± 4.5b2.7 ± 0.1b8.6 ± 0.5b35.2 ± 0.2c
Table 2

(A) Comparative results of IVF yield by using BSA (C- IVF) or reproductive fluids (Natur-IVF) as additives in the culture medium for 7.5 days. (B) Results of blastocyst development (for each type) using BSA (C- IVF) or reproductive fluids (Natur-IVF) as additives in the culture medium for 7.5 days. Columns from ‘Early blastocyst’ to ‘Hatched blastocyst’ indicate the percentage of each type of blastocyst from Total blastocyst (Table 2A), classified according to Bo and Mapletoft25. a,b: Different letters in the same column indicate values statistically different (p<0.05). Cleavage: Cleavage percentage from N. Total Blastocysts: Percentage of blastocysts calculated from cleaved embryos. Yield: Percentage of putative blastocysts from N. Cell/blastocyst: mean number of cells per blastocyst.

https://doi.org/10.7554/eLife.23670.006
A)
GroupNPenetration (%)Monospermy (%)Cleavage (%)Total blastocysts (%)Blastocyst Yield (%)Cell/ blastocyst
In vivo41   87.0 ± 7.2b
C- IVF903395
(43.7 ± 0.1a)
656
(72.7 ± 0.1)
429
(47.5 ± 1.6a)
178
(41.4 ± 2.4)
19.6 ± 1.349.9 ± 3.7a
Natur-IVF961640
(66.6 ± 0.1b)
755
(78.6 ± 0.1)
405
(42.1 ± 1.6b)
180
(44.5 ± 2.5)
18.7 ± 1.281.8 ± 7.2b
  
B)
GroupNEarly blastocyst (%)Blastocyts (%)Expanded blastocyst (%)Hatching blastocyst (%)Hatched blastocyst (%)
C- IVF17857
(31.7 ± 6.1)a
50
(28.3 ± 5.9)
71
(40.0 ± 6.4)
0
(0)a
0
(0)a
Natur -IVF18023
(12.8 ± 5.4)b
55
(30.8 ± 7.5)
65
(35.9 ± 7.8)
28
(15.4 ± 5.9)b
9
(5.1 ± 3.6)b
Table 3

Percentages of methylation over genome features in porcine blastocysts produced in vitro (C-IVF and Natur-IVF) or collected in vivo (In vivo).

https://doi.org/10.7554/eLife.23670.011
% Methylation
In vivoC-IVFNatur-IVF
CpG islands9.6911.8010.11
Promoters9.2611.619.11
TU12.8415.4712.36
Intergenic11.7514.4811.37
LINE112.6315.4312.02
LTR12.7715.5312.06
SINE12.4515.3011.94
GLOBAL12.3315.0211.09
Table 4

Targeted analysis of candidate imprinted genes. (A) Predicted imprinted regions in the pig genome by lifted-over mouse igDMRs the pig genome and manually inspected. (B) Pair-wise comparison of methylation by Analysis Chi-Square in the three groups of blastocysts for the resulting 14 candidate igDMRs. *C-IVF vs In vivo: p<0.05 with 20 minimum observations and 10 minimum percentage of difference % methylation. ** C-IVF vsNatur-IVF: Analysis Chi- Square p<0.05 with 20 minimum observations and 10 minimum percentage of difference % methylation. Natur-IVF vs In vivo: no statistical differences.

https://doi.org/10.7554/eLife.23670.018
A)
TileChromosomeStartEnd
IGF2R/AIR19,244,2399,248,054
ZAC1123,638,88723,643,228
SOCS5399,885,36099,887,132
ZFP787655,574,08055,575,926
ZIM2656,641,19056,644,823
IMPACT6102,001,929102,002,533
NAT1l58139,773,830139,775,461
PEG10981,642,95781,644,146
INPP5FV214141,186,219141,188,231
NNAT1746,041,84346,045,629
NESPAS1766,313,67366,320,932
GNAS-exon1a1766,348,00966,352,062
MEST1819,340,33519,345,549
ZFP7771860,941,42160,943,096

B)
TileChromosomeC-IVFNatur-IVFIn-vivo
ZAC1142.4133.5523.87*
PEG10947.7536.91**30.90*
NNAT1734.6319.22**23.28*

Additional files

Supplementary file 1

Top Canonical Pathways, Physiological Systems and Molecular and Cellular Functions related to DEGs between blastocysts produced in vitro under two different systems.

https://doi.org/10.7554/eLife.23670.019
Supplementary file 2

Functions associated with the down-regulated genes in porcine blastocysts produced without reproductive fluids (C-IVF), compared to blastocyts produced using Natur-IVF system or collected in vivo.

https://doi.org/10.7554/eLife.23670.020
Supplementary file 3

Percentages of specific features included in the 150 CpG size DMRs exclusive for each of three groups.

https://doi.org/10.7554/eLife.23670.021
Supplementary file 4

Top Molecular and Cellular Functions and representative genes related to DMRs with higher or lower methylation in each group (C-IVF, Natur-IVF and In vivo).RNA-Seq and DNA methylation data available from the Dryad Digital Repository: http://dx.doi.org/10.5061/dryad.n77r3

https://doi.org/10.7554/eLife.23670.022

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  1. Sebastian Canovas
  2. Elena Ivanova
  3. Raquel Romar
  4. Soledad García-Martínez
  5. Cristina Soriano-Úbeda
  6. Francisco A García-Vázquez
  7. Heba Saadeh
  8. Simon Andrews
  9. Gavin Kelsey
  10. Pilar Coy
(2017)
DNA methylation and gene expression changes derived from assisted reproductive technologies can be decreased by reproductive fluids
eLife 6:e23670.
https://doi.org/10.7554/eLife.23670