DYNLL1 transcript abundance decreases during oocyte and follicular growth and is associated with fertility in mice

doi:10.21203/rs.3.rs-1981550/v1

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DYNLL1 transcript abundance decreases during oocyte and follicular growth and is associated with fertility in mice

https://doi.org/10.21203/rs.3.rs-1981550/v1

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DNA repair efficiency is an important determinant of oocyte quality and female fertility. DYNLL1 (Dynein light chain 1) plays a part in DNA double-strand break (DSB) repair choice by promoting t error-prone non-homologous end joining (NHEJ) repair and in contrast by limiting accurate and error-free homologous recombination (HR) repair. Here, we showed that DYNLL1 transcript abundance decreases gradually during oocyte and follicular growth in mice. In parallel,DYNLL1 mRNA transcript levelsdeclinesin the course of oocyte meiotic maturation in mice. Furthermore, our in silico analysis showed that ovaries from high-fertility mice with increased ovulation have decreased DYNLL1 transcript abundance compared to that of control mice. Similarly, we found that the induction of ovulation with human chorionic gonadotropin (hCG) decreases DYNLL1 mRNA transcript levels in cumulus oocyte complexes in mice. We hypothesize that this decrease in DYNLL1 transcript abundance during oocyte and follicular growth and in ovulation might lead to relatively higher error-free HR repair and lower error-prone NHEJ repair events in mice, resulting in increased genome stability. Increased genome stability in mice with lower DYNLL1 levels might also contribute to better fertility performance. This paper highlights the need for further in vivo and mechanistic studies to better understand the role of DYNLL1 in the maintenance of oocyte reserve and in oocyte quality and fertility.

Oocyte

DNA repair

DYNLL1

fertility

oocyte reserve

follicular growth

ovary

The decline in ovarian reserve accelerates with age from birth to menopause, resulting in decreased reproductive performance (Faddy et al., 1992; Younis, 2011; Hansen et al., 2008). DNA repair efficiency is an important determinant of oocyte aging in women (Titus et al., 2013). DNA double strand breaks (DSB) accumulate in primordial follicles with age, in parallel to decreases in the expression of the key DSB repair genes such as BRCA1, MRE11, Rad51 and ATM, suggesting an age-associated loss of oocyte quality within the primordial follicles (Titus et al., 2013). Therefore, DSB repair is vital for the maintenance of oocyte reserve in women (Titus et al., 2013). A better understanding of DNA repair during oocyte and follicular growth may be useful in the development of novel treatment strategies to slow down the depletion of ovarian follicle reserve and to delay menopause to later ages, thus improving the reproductive performance of women.

The growth of the oocyte is accompanied by the growth of the follicle (Clarke, 2017). Non-growing prophase-arrested oocytes present within the primordial follicles are the immature precursors of all ovulated oocytes (Clarke, 2017). During reproductive life, these non-growing or dormant primordial follicles begin to proliferate mitotically. They are then recruited into the growing pool, and at this stage, the follicles are termed primary follicles (Clarke, 2017; Hirshfield, 1991; Da Silva-Buttkus et al. 2008; Lee and Chang, 2019; Wright et al., 2020). Following the formation of secondary follicle, small antral follicle and large antral follicle respectively; at the final stage of oocyte development, meiotic maturation occurs. With this event, immature oocyte at the germinal vesicle (GV) stage develops into mature metaphase II (MII) oocyte (Clarke, 2017; Conti et al., 2012; Holt et al., 2013; Adhikari and Liu, 2014; Coticchio et al., 2015). This meiotic maturation is physiologically induced by the release of luteinizing hormone (LH), which also induces ovulation (Clarke, 2017). Fertilization then triggers the completion of the second meiotic division (Clarke, 2017).

DYNLL1 (Dynein light chain 1 protein; alias LC8, PIN) plays a part in DSB repair choice by promoting toxic / error-prone non-homologous end joining (NHEJ) repair and in contrast by limiting accurate and error-free homologous recombination (HR) repair (He et al., 2018; West et al., 2019; Becker et al., 2018; Berkel and Cacan, 2021). It inhibits DNA end resection in HR, but promotes 53BP1-dependent NHEJ; therefore, its increased cellular levels might be associated with increased genomic instability (He et al., 2018; West et al., 2019; Becker et al., 2018). We also found that DYNLL1 is involved in progression, aggressiveness and chemoresistance of ovarian cancer, further highlighting its role in gynecological health (Berkel and Cacan, 2021; Berkel and Cacan, 2020). However, how DYNLL1 mRNA transcript levels change during oocyte and follicular growth, and how its cellular levels are correlated with fertility considering its function in DNA repair and thus in oocyte quality is currently unknown.

In the present study, we aim to analyze changes in DYNLL1 transcript abundance during oocyte and follicular growth and in the course of oocyte meiotic maturation in mice. We also studied how treatment with human chorionic gonadotropin (hCG) effects DYNLL1 mRNA transcript levels in cumulus oocyte complexes. Lastly, we asked if ovaries from high-fertility mice which exhibit an increase in ovulation number have different DYNLL1 transcript abundance compared to that of control mice which have normal ovulation number, in order to identify any possible correlation between DYNLL1 transcript abundance and fertility in mice.

2. 1 Datasets

Following gene expression datasets from GEO (Gene Expression Omnibus, a public functional genomics data repository) were used in this study: GSE3351 (sample size (n) = 60) (Pan et al., 2005), GSE5668 (n = 18) (Su et al., 2007; Salisbury et al., 2009), GSE11667 (n = 48) (Pan et al., 2008), GSE4260 (n = 24) (Hernandez-Gonzalez et al., 2006) and GSE11113 (n = 72) (Vanselow et al., 2008). These datasets were selected to be analyzed in the current study, since they contain data for DYNLL1 mRNA transcript levels during oocyte and follicular growth, or they contain DYNLL1 transcript abundance data in terms of fertility or of treatment with human chorionic gonadotropin hormone. In GSE11113 dataset, high-fertility mouse line (FL1) represents the mouse line with higher mean number of corpora lutea at the first day of pregnancy, with higher number of ova flushed from the oviducts and with increased mean litter size and litter weight (Vanselow et al., 2008). Experiment summaries and overall design can be accessed using these GEO accession numbers. All experiments were performed in mice (Mus musculus). Expression values obtained using different probes of DYNLL1 were normalized based on mean expression values obtained with each probe, and then all the data were combined. In plots, different colors of data points indicate different probes used in the microarray. GEO profiles of datasets were given in figure captions.

2. 2 Data analysis and visualization

Data analysis and visualization was performed in R statistical programming environment in this study (R version 4.0.2 (2020-06-22)) (R Core Team, 2020). Following R packages were used throughout the analysis: readxl (Wickham and Bryan, 2019), tidyverse (Wickham et al., 2019), ggpubr (Kassambara, 2020), knitr (Xie, 2021) and rmarkdown (Allaire et al., 2021; Xie et al., 2020).

Following convention for star symbols indicating statistical significance (P values) was used in the analysis of data in the present study: non-significant (ns): P > 0.05; *: P ≤ 0.05; **: P ≤ 0.01; ***: P ≤ 0.001;****: P ≤ 0.0001 (Kassambara, 2020). The normality test for the data used in each plot was performed using ggqqplot() (Quantile-Quantile plot) and shapiro.test() (Shapiro-Wilk normality test) functions in R (from ggpubr and stats R packages)(Kassambara, 2020; R Core Team, 2020). When data is normally distributed, we used Student’s t test to compare group means; otherwise, we performed the analysis using two-sample Wilcoxon test (Mann-Whitney test) due to high variance of transcript levels.

R code written to analyze the data can be found in supplementary documents to make the study completely reproducible.

3. 1 DYNLL1 transcript abundance decreases gradually during oocyte and follicular growth in mice

We first analyzed the changes in DYNLL1 transcript abundance during oocyte development from primordial follicle stage to large antral follicle stage in mice, using a publicly available transcript profiling dataset (GSE3351) (Figure 1) (Pan et al., 2005). Authors of this dataset analyzed oocytes collected from ovaries of B6SJLF1 mice at 2 to 22 days of age (oocytes were isolated from primordial, primary, secondary, small antral, and large antral follicles obtained from animals that were 2, 6, 12, 17, and 22 days old, respectively) (Pan et al., 2005). Here, we should note that expression data are within oocytes from each stage of development, and not within whole follicles (Pan et al., 2005). We found that DYNLL1 mRNA levels decrease gradually with each stage of follicular growth (Figure 1). For instance, DYNLL1 mRNA transcript levels in primordial follicle stage is more than 3 fold higher than that in large antral follicle stage, the last stage of follicular growth (Figure 1, P = 7.4e-07). Mean normalized DYNLL1 expression values for each stage during oocyte and follicular growth are as follows: primordial follicle stage = 163; primary follicle stage = 127; secondary follicle stage = 96.0; small antral follicle stage = 62 and large antral follicle stage = 52.2 (Figure 1). It is clear from this data that DYNLL1 mRNA levels decline dramatically with each subsequent stage of follicular growth in mice.

3. 2 DYNLL1 transcript abundance decreases during oocyte meiotic maturation in mice

Next, we compared DYNLL1 mRNA transcript levels during meiotic maturation of the oocyte from immature germinal vesicle (GV) stage to mature metaphase II (MII) stage using two independent mouse gene expression datasets (GSE5668, GSE11667) (Figure 2) (Su et al., 2007; Salisbury et al., 2009; Pan et al., 2008). We found that in the course of meiotic maturation, DYNLL1 transcript abundance decreases significantly in oocytes (Figure 2, P values are 0.0028 and 7.4e-07, respectively for each plot). We also observed that this change in DYNLL1 mRNA levels from immature GV stage to mature MII stage is independent of the age of the animal, since we observed the same trend for both young (6-12 weeks of age) and old mice (60-70 weeks of age) (Figure 2, second plot, two subplots, both P values are 7.4e-07) (Pan et al., 2008). In other words, it can be stated that even in old mice, DYNLL1 mRNA levels decrease from immature GV stage to mature MII stage (Figure 2, second plot, last panel).

3. 3 Human chorionic gonadotropin (hCG) decreases DYNLL1 mRNA transcript levels in cumulus oocyte complexes in mice

Then, we investigated how treatment with human chorionic gonadotropin (hCG) (which induce ovulation) effects DYNLL1 mRNA transcript levels in cumulus oocyte complexes (COCs) isolated from mouse ovaries in which follicular growth was stimulated using equine chorionic gonadotropin (eCG) (Figure 3) (Hernandez-Gonzalez et al., 2006). Authors of the dataset analyzed in the current study originally aimed to identify candidate genes that impact ovulation in cumulus oocyte complexes in mice (GSE4260) (Hernandez-Gonzalez et al., 2006). By using the same dataset, we observed that 16 hours, but not 8 hours, treatment with hCG results in a significant decrease in DYNLL1 levels (Figure 3, P = 0.00054). This indicates that DYNLL1 levels might differ between before and after ovulation.

3. 4 Ovaries from high-fertility mice have decreased DYNLL1 transcript abundance compared to that of control mice

Lastly, we compared DYNLL1 mRNA levels between ovaries from high-fertility mice which exhibit an increase in ovulation number and ovaries from control mice using a dataset by Vanselow and Nürnberg (2008) (GSE11113) (Figure 4). We found that high-fertility mice have lower DYNLL1 mRNA levels compared to control mice (Figure 4, P = 2.4e-15). In other words, mice with higher ovulation numbers have decreased DYNLL1 mRNA transcript levels, somewhat in parallel to data in Figure 3.

Here, we showed that DYNLL1 transcript abundance decreases during oocyte and follicular growth, and during oocyte meiotic maturation in mice. DYNLL1 is known to promote error-prone non-homologous end joining (NHEJ) repair and in contrast to limit error-free homologous recombination (HR) repair; thus, it participates in DSB repair choice (He et al., 2018; West et al., 2019; Becker et al., 2018; Berkel and Cacan, 2021). Therefore, its decreased cellular levels during oocyte and follicular growth might be associated with increased genomic stability due to relatively increased HR repair and decreased NHEJ repair events (He et al., 2018; West et al., 2019; Becker et al., 2018). Since the oocytes in the non-growing primordial follicles is arrested in the last stage of prophase and does not undergo further mitotic division until sexual maturity, these oocytes might have increased NHEJ repair events and decreased HR repair events due to their higher DYNLL1 levels (Clarke, 2017). However, during reproductive life, these non-growing or dormant primordial follicles begin to proliferate mitotically and to be recruited into the growing pool; thus, they may gradually decrease their DYNLL1 levels in the course of follicular growth to promote error-free HR repair over error-prone NHEJ repair (Clarke, 2017; Hirshfield, 1991; Da Silva-Buttkus et al., 2008; Lee and Chang, 2019;Wright et al., 2020). This is in line with the observation that the choice of DSB repair pathway is dependent on the cell cycle phases, and that mitotic cells can repair DSBs via a homology-directed pathway, a major pathway used for HR repair (Sakamoto et al., 2021). In contrast, Stringer et al. showed that around 90 % of prophase-arrested oocytes in primordial follicles exposed to γ-irradiation utilized HR repair pathway and the remaining 10 % utilized the NHEJ repair pathway (Newman et al., 2022). However, somatic granulosa cells surrounding oocytes in these follicles primarily utilized NHEJ repair pathway (Newman et al., 2022). Therefore, it might be stated that oocytes in primordial follicles utilizes mostly HR repair pathway even though they have higher DYNLL1 levels. Supporting our findings, authors reported that most of the non-growing prophase-arrested oocytes in primordial follicles exposed to even low doses of γ-irradiation died; however, growing follicles remained largely unaffected, pointing out the unique sensitivity of non-growing prophase-arrested oocytes in primordial follicles compared to oocytes in growing follicles (Newman et al., 2022). Considering that the gamma radiation leads to dose-dependent increases in DNA damage, this differences in sensitivity between growing follicles and primordial follicles might be due to, at least to a certain extent, lower DYNLL1 levels in oocytes in growing follicles (thus even higher HR repair events) compared to oocytes in primordial follicles, although primary DSB repair choice in oocytes in primordial follicles is HR repair. However, these differences in sensitivity might also be attributed to the differences in the expression of key regulators of cell death.

Although they did not study DYNLL1, Horta et al. showed that transcript abundance of most other DNA repair genes is lower in MII oocytes compared to GV oocytes in young mice, in parallel to our findings showing that DYNLL1 transcript abundance decreases during oocyte meiotic maturation from GV stage to MII stage in mice (Horta et al., 2021). However, they observed that in old mice, transcript abundance of some of the DNA repair genes increases during the GV-MII transition, showing the effect of age on relative transcript abundance of DNA repair genes in GV to MII transition in mice. However, we observed that DYNLL1 mRNA transcript levels decrease in both young and aged mice from immature GV stage to mature MII stage. Therefore, considering that the age is an important parameter in terms of women reproductive health and has a major impact in oocyte quality and reserve, changes in the cellular levels and activities of DNA repair proteins should be studied in more detail to better understand age-dependent changes in genomic stability in oocytes. These studies will ultimately have the potential to improve clinical success rates of assisted reproductive technologies in older women by helping to develop novel strategies to increase genomic stability in their oocytes (Newman et al., 2022; Horta et al., 2020).

We also found that ovaries from high-fertility mice with increased ovulation numbers have decreased DYNLL1 transcript abundance compared to that of control mice, and the induction of ovulation with human chorionic gonadotropin (hCG) results in a decrease in DYNLL1 mRNA transcript levels in cumulus oocyte complexes isolated from mouse ovaries. In other words, DYNLL1 levels might be inversely associated with fertility and ovulation in mice. This might be due to increased number of error-free HR repair events in ovaries and oocytes with lower DYNLL1 levels as detailed above. As it is shown that DNA repair is sufficient to restore functional fertility, and DNA repair may be an important mechanism for ensuring female fertility, higher HR repair preference due to lower DYNLL1 levels might be a contributing factor to the higher fertility observed in mice with decreased DYNLL1 levels (Stringer et al., 2020; Horta et al., 2021; Stringer et al., 2018; Winshipt et al., 2018).

Furthermore, a decrease in DYNLL1 transcript abundance during in vitro oocyte maturation from GV stage to MII stage was also reported in bovine oocytes, showing that these changes might not be species-specific and may point to some universal roles of DYNLL1 in oocyte development in diverse taxa (Racedo et al., 2008). Further research is needed to make stronger inferences.

In conclusion, we hypothesize that DYNLL1 might be an important player during oocyte and follicular growth possibly by regulating the number of HR repair events, and that decreased DYNLL1 levels might contribute to fertility by promoting HR repair and ultimately by increasing genomic stability. Further in vivo and mechanistic studies are required to confirm our findings to better understand the role of DYNLL1 in oocyte and follicle development and its association with fertility to improve reproductive performance, to slow down the depletion of ovarian follicle reserve and to delay menopause. More data is needed to clearly and precisely show that DYNLL1 has important mechanistic roles in oocytes and follicules, or in general in ovaries. As the limitations of our study, we performed all the analysis at the mRNA transcript level due to availability of transcriptomics data; therefore, further analysis at the protein level will also be highly informative. The functionality of DYNLL1 in oocytes also has not been previously studied and its functions other than those in DNA repair might be of high importance such as its role as an important inhibitor of nitric oxide synthase which regulates many biological processes in the ovary including oocyte maturation and ovulation (Thaler and Epel, 2003). DYNLL1 has also recently been highlighted as having a key role in regulating the primordial to primary follicle transition (Hamazaki et al., 2021). Therefore, decreases in DYNLL1 transcript abundance during oocyte and follicular growth might possibly lead to molecular changes in these pathways in addition to DNA damage.

Authors declare that they have no conflict of interest.

Funding

CB is funded by TUBITAK (The Scientific and Technological Research Council of Turkey) 2211-E grant.

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No competing interests reported.

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DYNLL1 transcript abundance decreases during oocyte and follicular growth and is associated with fertility in mice

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