Abstract
Wildlife is chronically exposed to various sources of ionizing radiations, both environmental or anthropic, due to nuclear energy use, which can induce several defects in organisms. In invertebrates, reproduction, which directly impacts population dynamics, has been found to be the most radiosensitive endpoint. Understanding the underlying molecular pathways inducing this reproduction decrease can help in predicting the effects at larger scales (i.e., population). In this study, we used a life stage dependent approach in order to better understand the molecular determinants of reproduction decrease in the roundworm C. elegans. Worms were chronically exposed to 50 mGy·h−1 external gamma ionizing radiations throughout different developmental periods (namely embryogenesis, gametogenesis, and full development). Then, in addition to reproduction parameters, we performed a wide analysis of lipids (different class and fatty acid via FAMES), which are both important signaling molecules for reproduction and molecular targets of oxidative stress. Our results showed that reproductive defects are life stage dependent, that lipids are differently misregulated according to the considered exposure (e.g., upon embryogenesis and full development) and do not fully explain radiation induced reproductive defects. Finally, our results enable us to propose a conceptual model of lipid signaling after radiation stress in which both the soma and the germline participate.
Keywords: ionizing radiation, oxidative stress, lipids, reproduction, Caenorhabditis elegans, chronic exposure, life stage
1. Introduction
Ionizing radiations (IR), originating from natural radiation and anthropic activities, induce the continuous exposure of wildlife species, requiring the acquisition of specific data to understand its chronic effects and improve its ecological risk assessment. To date, knowledge still needs to be increased since the radiosensitivity of environmental species covers a wide range of dose rates without any explanations [1,2] and risk assessment still uses data coming from acute exposure even though modes of action and response mechanisms can be different than chronic exposure [3,4,5]. Reproduction, which directly impacts population dynamics, is the most radiosensitive individual parameter in many invertebrates [6,7,8,9,10]. Especially in the roundworm Caenorhabditis elegans, chronic exposure to IR during its whole development causes a reproduction decrease (upon 50 mGy·h−1) [4,11] which is still unexplained fully. The understanding of mechanisms underlying the radioinduced reprotoxic response of C. elegans under chronic exposure scenarios is therefore of main concern.
The biological effects of IR are mainly due to oxidative stress which is caused by water radiolysis inducing the production of free radicals and reactive oxygen species (ROS) in cells [12,13]. Studies performed in biological media (e.g., cells) tend to show that in the case of hydroxyl radicals coming from external irradiation, damage to DNA and lipids is a secondary process; proteins are more probable initial targets due to their relative amount and reactivity [14,15,16]. Our first works were thus dedicated to protein studies, in regards to both damage [4] and expression [3]. However, the accumulation of ROS in the organism after prolonged exposures to radiations has also the potential to alter biological pathways [17,18,19], some of which are also involved in the regulation of lipid metabolism [20,21,22,23,24], lipids being molecules that are of main concern for biological functions and signaling. Specifically, IR mediated oxidative stress induces lipid peroxidation and neutral lipid storage in several species [25,26,27], as well as the misregulation of proteins linked to lipid transport (i.e., vitellogenins) in C. elegans [3].
In C. elegans as in many species, lipid metabolism and reproduction are interconnected [20,28,29,30,31,32,33,34,35]. Thus, each lipid class might have some dedicated roles, signaling, and regulations in various reproduction processes. However, current studies on the effects of IR on lipids have mainly focused on the regulation of total lipid content [25,26,36] although the understanding of compositional changes in lipid classes and fatty acids should give better information on the mechanisms occurring after a stress [37,38].
Additionally, effects on organism reproductive capacity can have several origins including damages on stem cells, gametes, and embryos occurring at different life stages of development [39,40,41,42,43]. In C. elegans, life stage sensitivity partly depends on their constitutive cell types (e.g., somatic, germ cells, meiotic, post mitotic). Indeed, somatic and germ cells have different tolerance to radiation damages due to their differences in division rate and repair mechanisms [44,45,46,47,48,49,50,51,52].
To decipher the developmental stage that yields reproduction decline, we identified three critical developmental periods that could be particularly sensitive to radiations:
-
-
Embryogenesis (in utero to L1 stage) during which gonad precursors cells are formed;
-
-
Early development (until late L3 stage) until the beginning of meiosis during which the gonad cells (somatic and germ cells) divide rapidly;
-
-
Gametogenesis (late L3 stage–Young adult (YA)) during which germ cells begin and achieve meiotic divisions.
In our study, C. elegans N2 strain, were chronically irradiated in utero until the end of aforementioned stages at the same dose rate of 50 mGy·h−1, in order to respect the chronic exposure scenario and dose rate from previous studies [3,11,27]. All of the worms were analyzed at the L4-YA stage. Reproduction parameters, class of lipids, and fatty acids (FA) were assessed for each condition.
2. Results
2.1. Chronic Radio-Induced Reprotoxic Effects Are Life-Stage Dependent
In a first step, global reproduction endpoints such as brood size and hatching success were assessed at the L4-YA stage. Figure 1A shows a brood size decrease for all scenarios compared to controls (−35% for SC3, p = 2.65 × 10−13, −11% for SC1, p = 0.0195, −12% for SC2, p = 0.0130), with an increased effect for SC3 compared to SC1 and SC2 (p < 0.001–Tukey contrasts with Bonferroni correction). On the contrary, no significant differences between scenarios were found on the hatching success (Figure S1). To go further, egg laying rate (Figure 1B) and spermatid numbers (Figure 2) were assessed in our conditions. Figure 1B shows a decrease in egg-laying rate for SC3 (p = 2.45 × 10−5) and SC2 (p = 0.0104) compared to controls, and between SC3 and SC1 (p = 0.0105–Tukey contrasts with Bonferroni correction). Figure 2A shows a decrease in mean spermatid number compared to controls only for SC3 (−23%, p < 1 × 10−5). These results altogether mean either an amplification in SC3 of an effect occurring during early development (SC1 and SC2), or two distinct mechanisms, early and late responses causing a different decrease in brood size.
2.2. Lipid Classes Are Differentially Modulated According to the Irradiated Life Stage
In C. elegans, only 7 to 20% of fatty acids (FA) are de novo synthesized, while the remaining are derived from bacterial food with a daily renewal of phospholipids [28]. In order to discriminate indirect effects coming from the irradiation of dead bacteria lipids’ vs direct effects on nematodes, lipid content in nematodes fed with irradiated OP50 (OP50(i)) was also measured (see Figure A1).
Results of neutral lipids (triacylglycerols-TAG) and polar lipids (phosphatidylethanolamine-PE and phosphatidylcholine-PC) content in the worms are given in Figure 3.
Neutral lipid analysis (Figure 3A) shows a significant increase in TAG content for worms fed on irradiated bacteria compared to controls (p = 0.033). Thus, there is an effect of IR on bacteria inducing an increase of TAG content in nematodes. In contrast, there is a significant decrease in TAG content in SC3 compared to OP50(i) (p = 0.00062), for which bacteria were irradiated in the same conditions as SC3. However, there is a significant increase in TAGs for SC1 compared to controls (p = 0.0021), SC2 (p = 0.018) and SC3 (p = 4.28 × 10−5), SC1 being more comparable to controls regarding the duration of exposure of bacteria (Figure S1). Therefore, there is a significant increase in TAG content for SC1 but a decrease for SC3.
Polar lipids analysis (Figure 3B,C) showed a decrease in PC content for OP50(i) compared to controls (significant with an α risk of 10%, p = 0.053), suggesting an effect of irradiated bacteria inducing a decrease in PC content in nematodes. In contrast, there is an increase in PC content for SC3 compared to OP50(i) (p = 0.0077) and SC1 (p = 0.031). Therefore, there is an increase in PC content for SC3, and there seems to be a decrease in SC1 (compared to controls), however not significant. No significant difference was found for PE content.
Overall, spearman correlation analysis showed a negative correlation between TAG and PC (ρ = −0.47, p < 0.05).
2.3. FAMEs Analysis Shows the Radiation Induced Modulation of Specific Fatty Acids
Figure 4 describes the fatty acids methyl esters (FAMEs) content from C12 to C22, weighted by the number of proteins, for all our conditions and shows a modulation of some specific fatty acids (FA) mostly for SC3 (PCA Figure S2).
In SC3, C16:1 compared to controls (p = 0.0399), C16:1 (9) compared to OP50(i) (p = 0.0303) and C17 compared to SC2 (p = 0.0114) were increased. While C17Δ (p = 0.0034) and C19Δ (p = 0.0047) seem to be decreased compared to OP50(i). In SC2, C12 (p = 0.0263) and C14 (p = 0.0147) decreased significantly compared to OP50(i). Spearman correlation analysis between total dose for each scenario (see Table S1) and FAMEs content (Table S2) showed a significant negative correlation for C17Δ, C19Δ, C19, 3-hydroxy C18 with the total irradiation dose and significant positive correlation for C16:1, C16:1(9) and C12.
Among those, we focused on the decrease of cyclopropane fatty acids (CFA) C17Δ and C19Δ in SC3. Since these FA come from bacterial food and are considered as non-essential to C. elegans metabolism [28,53,54], their decrease could be due to a defect in food uptake. We tested this hypothesis through: (i) the attraction behavior of irradiated worms towards the bacterial lawn; (ii) their locomotion (thrashing assay); and (iii) the content of ingested and assimilated bacteria in the intestine (see Supplementary Materials and Methods). No effect of irradiation was found on locomotion nor attraction towards bacteria (Figures S3 and S4). However, the measurement of bacteria content in the intestine showed that irradiated worms tend to have a faster assimilation rate, albeit not significantly (Figure S5; p = 0.07). Then, the decreasing rate of these two CFA in SC3 seems to be linked to their use.
2.4. In Situ Changes of Lipid Morphology
To confirm the results obtained after lipid analysis, we investigated the relative area of lipid droplets (LD) in irradiated worms (SC3) compared to controls, through TEM images. We observed that irradiated worm tissues tend to be less resistant to the slicing procedure (red arrows in Figure 5A) which is usually a result of an increased fat content. The measure of LD surface (Figure 5B) showed a significant higher lipid droplet size in irradiated nematodes (p < 2 × 10−16).
3. Discussion
Understanding the molecular determinants of chronic radiation response is of fundamental interest to predict effects at individual level. By studying the effects at different life stages and the changes in lipid composition we were able to better decipher the timing of occurrence and nature of these mechanisms.
3.1. Modulation of Lipid Content under Stress: Two Opposite Mechanisms Controlled by the Germline and/or the Soma?
Analysis of lipid class revealed a negative correlation between TAG and PC levels and at different life stages (Figure 6). After exposure throughout embryogenesis (SC1), nematodes showed an increase in TAG content, the major form of long-term energy storage, as is also found in germline-less or germline-deficient mutants [20]. During embryogenesis, only germ cell precursors are present and in a lesser amount than somatic cells. Somatic cells have been shown to have a better repair mechanism than germ cells and thus tolerate higher levels of IR than germ cells [45,46,47]. We suggest that under the SC1 scenario, somatic cells are not affected by IR due to the relatively low total dose or time of exposure (see Table S1), but germ cells precursors are, concordant with the TAG increase also observed in germline-less glp-1 mutants. This could partly explain the 11% brood size decrease that we observe in SC1.
On the contrary, nematodes exposed throughout whole development (SC3) showed a decrease in TAG content, consistent with other studies showing an increase of lipid catabolism and autophagy [19,22,48] in C. elegans exposed to oxidative stress [20,55], and with previous results in the same condition of exposure for germline-less glp-1 mutants [27]. Lipid catabolism is controlled mainly by the soma [19] which suggests that somatic cells are affected in the SC3 scenario. In addition to this TAG decrease, we observed a trend of a faster food assimilation rate in the intestine which is concordant with previous findings through an energy-based modeling approach (DEBtox), suggesting that gamma radiation induces an increase in costs for somatic growth and maintenance in C. elegans [8]. This could translate to a faster assimilation of nutrients, resulting in the reduced TAG content and specific FA (CFA).
While TAGs decreased in SC3, nematodes showed an increase in PC content. Phospholipids are the main components of cellular membranes and yolk granules [28] composed at 85% of proteins and 15% of lipids. Yolk granules are synthetized in the intestine and transported in the germline through vitellogenins, for which we previously found an overexpression under the same conditions of exposure [3]. According to the literature, a deficiency in germline capacity to uptake yolk granules leads to an accumulation of those in the soma [29,56], and stressed or aging nematodes tend to consume their own intestine to enhance capacity for yolk production [22], which concurs with our present findings.
With these results, we suggest that IR induce an increase in lipid levels (PC and TAG) through germline signals, and a lipid catabolism (TAG) through somatic signals, leading to an unchanged global lipid level. Therefore, at least two opposite mechanisms exist in our conditions and contribute to balance total lipid content. Many studies have been addressing the issue of this double response to oxidative stress [20,27,29,47], and its regulation by the germline [33,55,57], especially regarding the longevity endpoint [33]. However, rather than lipid level, it is the structural properties of FA such as chain length and saturation degree that may contribute to modulate processes such as longevity and reproduction [37,38].
3.2. Facing Radiation «All Fat Are Not Equal»: Quality over Quantity
Our results showed significant differences in FAMEs mainly for nematodes exposed throughout their whole development (SC3). In particular, two C16 MUFA were increased, especially the palmitoleic acid (C16:1 (9)). Consistent with this finding, we also observed a decrease of CFA (C17Δ and C19Δ) which was previously reported to be linked to an increase in MUFAs [58]. MUFAs enhance membrane fluidity, reduce oxidative stress and contribute to energy storage and the activation of specific pathways [55] and is often associated to a longer lifespan [37,59], especially in germline-less mutants [60]. However, no difference in lifespan was shown for the N2 strain in our conditions [8,27] and, in the same conditions, germline-less glp-1 mutants have even shown a decrease in longevity [27], suggesting once again two opposite balanced mechanisms responding to IR.
3.3. Reproduction Decrease: Deciphering Mechanisms through Lipid Analysis
From lipid analysis, we suggest that the reduced brood size observed for nematodes exposed during embryogenesis (SC1) could be due to early unrepaired or misrepaired damages on germ cell precursors. Meanwhile, effects occurring in SC3 (i.e., more decreased brood size, egg-laying rate and sperm number decrease) are even more complex to analyze since they occur concomitantly with different phenomena highlighted through our previous studies. This enables one to draw a global map of the results including increased PC content and overexpression of vitellogenins [22], TAG catabolism, MUFA increase, CFA decrease and faster assimilation rate. The coherence of these data is presented in the following part, keeping the objective of explaining the reproductive default after full-development irradiation.
In C. elegans, as in many species, egg quality and embryogenesis are conditioned by the activity of vitellogenins [56,61,62,63] and were previously shown to be linked with LD size and their coalescence in the rainbow trout after IR [64]. In our study we found an increase in LD size and C17Δ decrease with an upregulation of vitellogenins in irradiated worms (SC3). Interestingly, these three parameters are all linked to daf-2 expression [65], involved in the Insulin-like signaling (IIS) pathway, linked to an increase in longevity, resistance to oxidative stress [21] and likely to be involved in the response to IR in our conditions [22,54]. In particular, the upregulation of vitellogenins through the DAF-2/IIS pathway, can result from a sperm dependent signal [23], which is concordant with the observed sperm decrease in our conditions.
In C. elegans hermaphrodites, many processes linked to oocytes such as meiotic maturation and ovulation are controlled by the MSP (major sperm protein) found in sperm [66,67,68]. Therefore, a decrease in sperm number can directly affect the egg-laying rate of our experiment. However, another cause of egg-laying rate decrease could be an increase of apoptosis [69] since an overexpression of egl-1, was previously observed by our team in the same condition of irradiation [11].
To go further and analyze the sperm decrease, it is important to keep in mind that while oogenesis begins at stage L4 (included in SC3) and is constitutive during adulthood, sperm production occurs only during the late L3 stage (included only in SC3 here) and is limited to ~150 spermatids per spermatheca, meaning that nematodes will produce as many eggs as their sperm number unless mated with males [70,71,72]. According to the literature, sperm number could be controlled by protein myristoylation, in which the myristic acid (C14) plays a central role to regulate the spermatogenesis to oogenesis switch [73]. Indeed, an early switch could lead to a decrease in sperm number and premature oogenesis. In our study, no significant effect was found on C14, therefore it does not seem to be responsible for sperm number decline under IR exposure. Another hypothesis could be linked with cell-cycle arrest which was previously observed [8] and reduced mitotic cell number (data not shown), therefore limiting the pool of available germ stem cells to differentiate into gametes but this hypothesis was not investigated in this work.
To sum-up, our results showed how both the germline and the soma could be involved in the regulation of lipid homeostasis, DAF-2/IIS pathway likely playing a central role. Thus, we propose a conceptual model (Figure 7) for IR response in which the germline and the soma both act to regulate lipid content by signaling opposite mechanisms. Understanding the interplay between both cell lines enabled to shed light on the different observed effects on reproduction throughout life stages. Still, the question of sperm decline remains unsolved through the study of lipids.
4. Materials and Methods
4.1. Strain and Maintenance
The Bristol N2 C. elegans strain and Escherichia coli OP50 were provided by the Caenorhabditis Genetics Center (University of Minnesota, Minneapolis, MN, USA), which is funded by NIH Office of Research Infrastructure Programs (P40 OD010440). Nematodes were cultured at 19 °C on Nematode growth medium (NGM) and M9 medium prepared by standard protocols [76]. Seeded plates with OP50 were prepared as previously described [11,27].
4.2. Exposure to Gamma-Radiation and Dosimetry
External gamma radiation exposure was conducted at the MIRE 137Cs irradiation facility at the National Institute for Radioprotection and Nuclear Safety (IRSN, Cadarache, France) as previously described [11,27]. The 137Cs source was provided by the CERCA LEA, Pierrelate, France.
4.3. Life-Stage Gamma Irradiation Experimental Design
Nematodes were first exposed in utero through a population of gravid worms previously synchronized by bleaching [77]. After 8 h of exposure of the gravid worms, eggs already laid were separated from gravid worms by a sucrose gradient (3–7%), and gravid worms were bleached to collect the eggs in utero (synchronized over 3 h). Eggs exposed in utero (~2000/replicate) were then replaced in the irradiation facility under the following three different scenarios of exposure (Figure A1):
-
-
From in utero eggs to 16h post-ovulation, covering embryogenesis (until mid-L1 stage), i.e., SC1;
-
-
From in utero eggs to 45h post-ovulation, covering early development until the beginning of meiosis (late L3 stage), i.e., SC2;
-
-
From in utero eggs to 65h post-ovulation, covering full development (until L4-YA stage), i.e., SC3.
At the end of exposure scenario SC1 and SC2, nematodes were placed in recovery until they reached the L4/YA stage. All parameters were measured when nematodes reached the L4/YA stage. Total doses are given in Table S1.
4.4. Analysis of Indirect Effects of Gamma Radiation on Bacteria
To assess the effects of irradiated bacterial food on lipid metabolism, another scenario (OP50(i)) was added to the experimental design. Non-irradiated nematodes were treated as controls but grown on previously irradiated bacterial lawn. The bacteria were irradiated, in triplicates, under the same exposure condition than SC3 (i.e., 65 h at 50 mGy·h−1, Figure A1).
4.5. Assessment of Reprotoxic Effects
4.5.1. Reproduction Assay
Cumulated larvae number and hatching success were quantified for each individual (20 per scenario) for eight days. Nematodes were transferred to fresh NGM petri dish every 24 h. In addition, newly laid eggs were quantified every 6 h after the transfer every day. Hatching success was analyzed by counting the newly hatched larvae 24 h after the transfer.
4.5.2. Spermatids Quantification
Samples were washed three times with M9 and 15 to 25 worms per replicate were mounted on slides pre-coated with Poly-Lysine (10 µL at 0.1%). Worms were immobilized with 3 µL of 0.1 mM levamisole and dissected using a 0.45 µm gouge needle, then fixed with 2% paraformaldehyde. The freeze-cracking method was used to remove the cuticle [78]. Slides were then fixed in methanol/acetone (1:1) for 20 min at −20 °C, then rinsed three times in 1x-PBST. Slides were stained with DAPI mounting medium for 2 h at +4 °C in a dark chamber. Images were obtained with Axioobserver ZEISS Z1 microscope (Carl Zeiss AG, Oberkochen, Germany) equipped with a DAPI filter system, at 40× and 12-bit resolution and Z-stacked for each spermathecal. Spermatids were quantified using the FIJI (Fiji Is Just) ImageJ 2.1.0/1.53c software [79].
4.6. Assessment of Effects on Lipid Metabolism
At the end of exposure and recovery, samples were washed three times with M9 and redistributed as five replicates per condition (~1000 nematodes/replicate) for lipid and protein extraction. Samples were flash frozen in liquid nitrogen in a grinder tube with the minimal volume and stored at −80 °C until use.
4.6.1. Total Lipids Extraction
Lipids were extracted with a lysis buffer (acetic acid/EDTA 1 mM) and zirconium grinding beads in a homogenizer (3 × 6500 rpm). Lipids in the aqueous phase were extracted by modified Bligh and Dyer [80]. Lipids in the organic phases were collected by evaporation under a nitrogen flow and adding of chloroform/methanol (2:1, v/v). One third of the volume was used for the analysis of neutral and polar lipids, while the remaining two thirds were used for fatty acid methyl ester (FAME) analysis.
4.6.2. Analysis of Neutral and Polar Lipids
Polar and neutral lipid quantification was made by high performance–thin layer chromatograph (HPTLC) on a silica gel 60 (Merck KGaA, Darmstadt Germany). Acetone/toluene/water (91/30/8, v/v/v) was used as eluent for polar lipids and hexane/diethyl ether/acetic acid (17/3/0.2, v/v/v) for neutral lipids. Triheptadecanoin and heptadecanoic acid were used as neutral lipids standards. Polar lipids standards were phosphatidylcholine and phosphatidylethanolamine. The plates were revealed with orthophosphoric acid/copper sulfate (170 °C for 20 min) then scanned at 500 nm using a TLC Scanner 3 (CAMAG, Muttenz, Switzerland) with WinCATs software (version 1.4.4.6337) [80]. Neutral and polar lipids content was weighted with total protein content extracted with the method described below.
4.6.3. Fatty Acid Methyl Esters (FAMEs) Analysis
Fatty acids were transmethylated (sulfuric acid 5% in methanol, 1 h 30, at 85 °C) into FAMEs and extracted with hexane as described in Siaut et al. (2011) [80]. Behenic acid was used as internal standard. Samples were injected in GC-MS-FID (Agilent Technologies, Inc., Santa Clara, CA, USA) with Optima-Wax (0.25 × 30 m) column (MACHEREY-NAGEL GmbH & Co. KG, Dueren, Germany) and helium as vector gaz. The samples were split for detection: MS for identification and FID for quantification. FAME content was weighted with total protein content extracted with the method described below.
4.6.4. Protein Extraction and Quantification
After the separation of phases for lipid extraction, the aqueous phase was placed under nitrogen flow to evaporate residual solvents. 1% SDS was added, pH adjusted to 9 and placed under agitation for 1 h. Proteins were quantified using classical Bicinchoninic acid assay (BCA; KIT THERMO SCIENTIFIC PIERCE Illkirch-France).
4.6.5. TEM Analysis
After washing, ~500 worms per replicates (3 replicates per condition) were collected and fixed with 2.5% glutaraldehyde in 0.1 M, pH 7.4 sodium cacodylate buffer for two days at 4 °C. The samples were washed for 5 min three times with the same buffer. Samples were postosmicated with 1% osmium tetroxyde in cacodylate buffer for 1 h, dehydrated through a graded ethanol series, and finally embedded in monomeric resin Epon 812. All chemicals used for histological preparation were purchased from Electron Microscopy Sciences (Hatfield, PA, USA). Ultrathin sections (70 nm; Leica-Reichert Ultracut E) were collected from different levels of each block, counterstained with 1.5% uranyl acetate in 70% ethanol and lead citrate and observed using a Tecnai F20 transmission electron microscope at 200 kV at the CoMET MRI facilities (INM, Montpellier, France). For lipid droplet analysis, 7 individuals (i.e., image) were analyzed for each condition using FIJI (Fiji Is Just) ImageJ 2.1.0/1.53c software [79].
4.7. Statistical Analysis
All data were obtained with a simple random sampling. Count data (spermatids count, total broodsize, hatching success, egg laying rate and lipid droplet size) were analyzed using a GLM (General Linear Model). For lipid contents (FAMEs, neutral lipids and polar lipids), when the data was normally distributed, means were compared using an Anova, otherwise, Kruskall–Wallis test was performed. Specifically, a principal component analysis (PCA) and Spearman correlation analysis were conducted on FAMEs. For each test, post-hoc analysis was conducted (Tukey and Dunnett for parametric tests, Dunn’s for non-parametric tests) and p-values were adjusted using the Bonferroni correction. An alpha risk of 5% was taken as significant. Statistical analysis was conducted on R Studio software, Version 1.1.423 (© 2009–2018 RStudio, Inc., Boston, MA USA), using the following packages for statistical tests: ‘car’, ’dunn.test’, ’multcomp’, ’FactoMineR’, ’factoextra’, ’psych’, ’PerformanceAnalytics’.
5. Conclusions
Our study aimed to understand the link between reproduction decline and lipid metabolism after exposure to IR in C. elegans. In order to understand precisely when these mechanisms occur, we studied chronic exposure to IR at different life stages. Our results showed that different mechanisms occur at different developmental periods (embryogenesis, early development, full development), occasioning more or less severe response in reproduction, and opposite responses in lipid metabolism. We showed that these different responses could be due to opposite signaling from the germline and the soma, contributing to maintain lipid homeostasis. Numerous studies have focused on deciphering the mechanisms behind this double response. However, it was unclear whether the lipogenic and lipolytic pathways act on the same or distinct types of lipids. In the present study, we showed that neutral and polar lipids, especially TAG and PC, are oppositely regulated after exposure to oxidative stress. In order to determine the links between these key events, we suggest that IR induce a defective germline which in turn leads to an accumulation of lipids (TAG) and favors the lipogenesis of specific fatty acids (MUFAs). In response to this misregulation, the soma acts as a negative regulator by inducing lipid catabolism (PC) to compensate this accumulation. Future studies will focus on deciphering the mechanisms behind this double response and the causes of reproduction decline.
Acknowledgments
The authors thank the IRSN for their financial support and the CGC for providing the strains for these experiments. The authors acknowledge the European Union Regional Developing Fund, the Region Provence Alpes Côte d’Azur, the French Ministry of Research, and the CEA for funding the HelioBiotec platform and Zoom microscopy platform. We thank Christian Godon for setting up the confocal imaging parameters and his expertise. In addition, we thank Chantal Cazevieille at the Electron Microscopy facilities, Institut des Neurosciences, INSERM, Université Montpellier (Montpellier, France). We also thank Virginie Camilleri and Magali Floriani for their help and knowledge in the analysis of TEM images. The authors also thank Catherine Lecomte who participated in the reproduction assay, and to the breeding and maintenance of the nematodes with her expertise in C. elegans. We kindly thank Nicolas Dubourg for the dosimetry calculation. Finally, the authors thank Adrien Delaval for statistical advice and analysis.
Supplementary Materials
The following are available online at https://www.mdpi.com/article/10.3390/ijms221910277/s1.
Appendix A
Author Contributions
Conceptualization and methodology, E.D.-S. and S.F.; writing—original draft preparation, E.D.-S.; writing—review and editing, S.F., Y.L.-B. and S.G.; supervision, S.F. and S.G.; investigation, E.D.-S., S.F., M.R., S.C. and L.Q.; formal analysis, E.D.-S., S.F.; data curation, E.D.-S., S.F.; visualization, E.D.-S. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
The data presented in this study are publicly available on request from the corresponding author. No platform already exist to upload such data.
Conflicts of Interest
The authors declare no conflict of interest.
Footnotes
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Garnier-Laplace J., Geras’kin S., Della-Vedova C., Beaugelin-Seiller K., Hinton T.G., Real A., Oudalova A. Are radiosensitivity data derived from natural field conditions consistent with data from controlled exposures? A case study of Chernobyl wildlife chronically exposed to low dose rates. J. Environ. Radioact. 2013;121:12–21. doi: 10.1016/j.jenvrad.2012.01.013. [DOI] [PubMed] [Google Scholar]
- 2.Garnier-Laplace J., Della-Vedova C., Andersson P., Copplestone D., Cailes C., Beresford N.A., Howard B.J., Howe P., Whitehouse P. A multi-criteria weight of evidence approach for deriving ecological benchmarks for radioactive substances. J. Radiol. Prot. 2010;30:215–233. doi: 10.1088/0952-4746/30/2/S02. [DOI] [PubMed] [Google Scholar]
- 3.Dubois C., Pophillat M., Audebert S., Fourquet P., Lecomte C., Dubourg N., Galas S., Camoin L., Frelon S. Differential modification of the C. elegans proteome in response to acute and chronic gamma radiation: Link with reproduction decline. Sci. Total Environ. 2019;676:767–781. doi: 10.1016/j.scitotenv.2019.04.039. [DOI] [PubMed] [Google Scholar]
- 4.Dubois C., Lecomte C., Ruys S.P.d., Kuzmic M., Della-Vedova C., Dubourg N., Galas S., Frelon S. Precoce and opposite response of proteasome activity after acute or chronic exposure of C. elegans to γ-radiation. Sci. Rep. 2018;8:11349. doi: 10.1038/s41598-018-29033-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Pereira S., Bourrachot S., Cavalie I., Plaire D., Dutilleul M., Gilbin R., Adam-Guillermin C. Genotoxicity of acute and chronic gamma-irradiation on zebrafish cells and consequences for embryo development. Environ. Toxicol. Chem. 2011;30:2831–2837. doi: 10.1002/etc.695. [DOI] [PubMed] [Google Scholar]
- 6.Knowles J.F., Greenwood L.N. The effects of chronic irradiation on the reproductive performance of Ophryotrocha diadema (polychaeta, dorvilleidae) Mar. Environ. Res. 1994;38:207–224. doi: 10.1016/0141-1136(94)90008-6. [DOI] [Google Scholar]
- 7.Hertel-Aas T., Oughton D.H., Jaworska A., Bjerke H., Salbu B., Brunborg G. Effects of Chronic Gamma Irradiation on Reproduction in the Earthworm Eisenia fetida (Oligochaeta) Radiat. Res. 2007;168:515–526. doi: 10.1667/RR1012.1. [DOI] [PubMed] [Google Scholar]
- 8.Lecomte-Pradines C., Hertel-Aas T., Coutris C., Gilbin R., Oughton D., Alonzo F. A dynamic energy-based model to analyze sublethal effects of chronic gamma irradiation in the nematode Caenorhabditis elegans. J. Toxicol. Environ. Health. Part A. 2017;80:830–844. doi: 10.1080/15287394.2017.1352194. [DOI] [PubMed] [Google Scholar]
- 9.Sowmithra K., Shetty N.J., Harini B.P., Jha S.K., Chaubey R.C. Effects of acute gamma radiation on the reproductive ability of the earthworm Eisenia fetida. J Env. Radioact. 2015;140:11–15. doi: 10.1016/j.jenvrad.2014.10.010. [DOI] [PubMed] [Google Scholar]
- 10.Gilbin R., Alonzo F., Garnier-Laplace J. Effects of chronic external gamma irradiation on growth and reproductive success of Daphnia magna. J. Environ. Radioact. 2008;99:134–145. doi: 10.1016/j.jenvrad.2007.07.004. [DOI] [PubMed] [Google Scholar]
- 11.Buisset-Goussen A., Goussen B., Della-Vedova C., Galas S., Adam-Guillermin C., Lecomte-Pradines C. Effects of chronic gamma irradiation: A multigenerational study using Caenorhabditis elegans. J. Environ. Radioact. 2014;137:190–197. doi: 10.1016/j.jenvrad.2014.07.014. [DOI] [PubMed] [Google Scholar]
- 12.Iyer R., Lehnert B.E. Effects of ionizing radiation in targeted and nontargeted cells. Arch. Biochem. Biophys. 2000;376:14–25. doi: 10.1006/abbi.1999.1684. [DOI] [PubMed] [Google Scholar]
- 13.Azzam E.I., Jay-Gerin J.P., Pain D. Ionizing radiation-induced metabolic oxidative stress and prolonged cell injury. Cancer Lett. 2012;327:48–60. doi: 10.1016/j.canlet.2011.12.012. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Houee-Levin C., Bobrowski K. The use of the methods of radiolysis to explore the mechanisms of free radical modifications in proteins. J. Proteom. 2013;92:51–62. doi: 10.1016/j.jprot.2013.02.014. [DOI] [PubMed] [Google Scholar]
- 15.Du J., Gebicki J.M. Proteins are major initial cell targets of hydroxyl free radicals. Int. J. Biochem. Cell Biol. 2004;36:2334–2343. doi: 10.1016/j.biocel.2004.05.012. [DOI] [PubMed] [Google Scholar]
- 16.Gebicki J.M. Oxidative stress, free radicals and protein peroxides. Arch. Biochem. Biophys. 2016;595:33–39. doi: 10.1016/j.abb.2015.10.021. [DOI] [PubMed] [Google Scholar]
- 17.Tateishi Y., Sasabe E., Ueta E., Yamamoto T. Ionizing irradiation induces apoptotic damage of salivary gland acinar cells via NADPH oxidase 1-dependent superoxide generation. Biochem. Biophys. Res. Commun. 2008;366:301–307. doi: 10.1016/j.bbrc.2007.11.039. [DOI] [PubMed] [Google Scholar]
- 18.Chen Q., Chai Y.C., Mazumder S., Jiang C., Macklis R.M., Chisolm G.M., Almasan A. The late increase in intracellular free radical oxygen species during apoptosis is associated with cytochrome c release, caspase activation, and mitochondrial dysfunction. Cell Death Differ. 2003;10:323–334. doi: 10.1038/sj.cdd.4401148. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Maremonti E., Eide D.M., Rossbach L.M., Lind O.C., Salbu B., Brede D.A. In vivo assessment of reactive oxygen species production and oxidative stress effects induced by chronic exposure to gamma radiation in Caenorhabditis elegans. Free Radic. Biol. Med. 2020;152:583–596. doi: 10.1016/j.freeradbiomed.2019.11.037. [DOI] [PubMed] [Google Scholar]
- 20.Steinbaugh M.J., Narasimhan S.D., Robida-Stubbs S., Moronetti Mazzeo L.E., Dreyfuss J.M., Hourihan J.M., Raghavan P., Operana T.N., Esmaillie R., Blackwell T.K. Lipid-mediated regulation of SKN-1/Nrf in response to germ cell absence. eLife. 2015;4:e07836. doi: 10.7554/eLife.07836. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tullet J.M.A., Green J.W., Au C., Benedetto A., Thompson M.A., Clark E., Gilliat A.F., Young A., Schmeisser K., Gems D. The SKN-1/Nrf2 transcription factor can protect against oxidative stress and increase lifespan in C. elegans by distinct mechanisms. Aging Cell. 2017;16:1191–1194. doi: 10.1111/acel.12627. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Ezcurra M., Benedetto A., Sornda T., Gilliat A.F., Au C., Zhang Q., van Schelt S., Petrache A.L., Wang H., de la Guardia Y., et al. C. elegans Eats Its Own Intestine to Make Yolk Leading to Multiple Senescent Pathologies. Curr. Biol. 2018;28:2544–2556.e5. doi: 10.1016/j.cub.2018.06.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.DePina A.S., Iser W.B., Park S.-S., Maudsley S., Wilson M.A., Wolkow C.A. Regulation of Caenorhabditis elegans vitellogenesis by DAF-2/IIS through separable transcriptional and posttranscriptional mechanisms. Bmc Physiol. 2011;11:11. doi: 10.1186/1472-6793-11-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Glover-Cutter K.M., Lin S., Blackwell T.K. Integration of the unfolded protein and oxidative stress responses through SKN-1/Nrf. Plos Genet. 2013;9:e1003701. doi: 10.1371/journal.pgen.1003701. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Song Y., Xie L., Lee Y., Brede D.A., Lyne F., Kassaye Y., Thaulow J., Caldwell G., Salbu B., Tollefsen K.E. Integrative assessment of low-dose gamma radiation effects on Daphnia magna reproduction: Toxicity pathway assembly and AOP development. Sci. Total Environ. 2020;705:135912. doi: 10.1016/j.scitotenv.2019.135912. [DOI] [PubMed] [Google Scholar]
- 26.Gomes T., Song Y., Brede D.A., Xie L., Gutzkow K.B., Salbu B., Tollefsen K.E. Gamma radiation induces dose-dependent oxidative stress and transcriptional alterations in the freshwater crustacean Daphnia magna. Sci. Total Environ. 2018;628–629:206–216. doi: 10.1016/j.scitotenv.2018.02.039. [DOI] [PubMed] [Google Scholar]
- 27.Kuzmic M., Galas S., Lecomte C., Dubois C., Dubourg N., Frelon S. Interplay between ionizing radiation effects and aging in C. elegans. Free Radic. Biol. Med. 2019;134:657–665. doi: 10.1016/j.freeradbiomed.2019.02.002. [DOI] [PubMed] [Google Scholar]
- 28.Watts J.L., Ristow M. Lipid and Carbohydrate Metabolism in Caenorhabditis elegans. Genetics. 2017;207:413–446. doi: 10.1534/genetics.117.300106. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Lemieux G.A., Ashrafi K. Investigating Connections between Metabolism, Longevity, and Behavior in Caenorhabditis elegans. Trends Endocrinol. Metab. 2016;27:586–596. doi: 10.1016/j.tem.2016.05.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Lemieux G.A., Ashrafi K. Stressing about misplaced fat is a key to longevity. eLife. 2015;4:e10161. doi: 10.7554/eLife.10161. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Amrit F.R., Steenkiste E.M., Ratnappan R., Chen S.W., McClendon T.B., Kostka D., Yanowitz J., Olsen C.P., Ghazi A. DAF-16 and TCER-1 Facilitate Adaptation to Germline Loss by Restoring Lipid Homeostasis and Repressing Reproductive Physiology in C. elegans. Plos Genet. 2016;12:e1005788. doi: 10.1371/journal.pgen.1005788. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Ratnappan R., Amrit F.R., Chen S.W., Gill H., Holden K., Ward J., Yamamoto K.R., Olsen C.P., Ghazi A. Germline signals deploy NHR-49 to modulate fatty-acid beta-oxidation and desaturation in somatic tissues of C. elegans. Plos Genet. 2014;10:e1004829. doi: 10.1371/journal.pgen.1004829. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Hsin H., Kenyon C. Signals from the reproductive system regulate the lifespan of C. elegans. Nature. 1999;399:362–366. doi: 10.1038/20694. [DOI] [PubMed] [Google Scholar]
- 34.Hansen M., Flatt T., Aguilaniu H. Reproduction, fat metabolism, and life span: What is the connection? Cell Metab. 2013;17:10–19. doi: 10.1016/j.cmet.2012.12.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Wang M.C., O’Rourke E.J., Ruvkun G. Fat metabolism links germline stem cells and longevity in C. elegans. Science. 2008;322:957–960. doi: 10.1126/science.1162011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Kuzmic M., Javot H., Bonzom J.M., Lecomte-Pradines C., Radman M., Garnier-Laplace J., Frelon S. In situ visualization of carbonylation and its co-localization with proteins, lipids, DNA and RNA in Caenorhabditis elegans. Free Radic. Biol. Med. 2016;101:465–474. doi: 10.1016/j.freeradbiomed.2016.11.004. [DOI] [PubMed] [Google Scholar]
- 37.Shmookler Reis R.J., Xu L., Lee H., Chae M., Thaden J.J., Bharill P., Tazearslan C., Siegel E., Alla R., Zimniak P., et al. Modulation of lipid biosynthesis contributes to stress resistance and longevity of C. elegans mutants. Aging. 2011;3:125–147. doi: 10.18632/aging.100275. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Hulbert A.J. Longevity, lipids and C. elegans. Aging. 2011;3:81–82. doi: 10.18632/aging.100288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kuwahara Y., Shimada A., Mitani H., Shima A. A Critical Stage in Spermatogenesis for Radiation-Induced Cell Death in the Medaka Fish, Oryzias latipes. Radiat. Res. 2002;157:386–392. doi: 10.1667/0033-7587(2002)157[0386:ACSISF]2.0.CO;2. [DOI] [PubMed] [Google Scholar]
- 40.Kheirallah D., El-Samad L., Fahmi N., Osman W. Ultrastructure alterations induced by gamma irradiation in spermiogenesis of the ground beetle, Blaps sulcata: Reference to environmental radiation protection. Environ. Sci. Pollut. Res. Int. 2017;24:22102–22110. doi: 10.1007/s11356-017-9869-5. [DOI] [PubMed] [Google Scholar]
- 41.Guerquin M.-J., Duquenne C., Coffigny H., Rouiller-Fabre V., Lambrot R., Bakalska M., Frydman R., Habert R., Livera G. Sex-specific differences in fetal germ cell apoptosis induced by ionizing radiation. Hum. Reprod. 2008;24:670–678. doi: 10.1093/humrep/den410. [DOI] [PubMed] [Google Scholar]
- 42.Lambrot R., Coffigny H., Pairault C., Lécureuil C., Frydman R., Habert R., Rouiller-Fabre V. High Radiosensitivity of Germ Cells in Human Male Fetus. J. Clin. Endocrinol. Metab. 2007;92:2632–2639. doi: 10.1210/jc.2006-2652. [DOI] [PubMed] [Google Scholar]
- 43.Hartman P.S., Herman R.K. Somatic damage to the X chromosome of the nematode Caenorhabditis elegans induced by gamma radiation. Mol. Gen. Genet. 1982;187:116–119. doi: 10.1007/BF00384393. [DOI] [PubMed] [Google Scholar]
- 44.Holway A.H., Kim S.H., La Volpe A., Michael W.M. Checkpoint silencing during the DNA damage response in Caenorhabditis elegans embryos. J. Cell Biol. 2006;172:999–1008. doi: 10.1083/jcb.200512136. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Vermezovic J., Stergiou L., Hengartner M.O., D’Adda Di Fagagna F. Differential regulation of DNA damage response activation between somatic and germline cells in Caenorhabditis elegans. Cell Death Differ. 2012;19:1847–1855. doi: 10.1038/cdd.2012.69. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Clejan I., Boerckel J., Ahmed S. Developmental modulation of nonhomologous end joining in Caenorhabditis elegans. Genetics. 2006;173:1301–1317. doi: 10.1534/genetics.106.058628. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Lemmens B.B.L.G., Tijsterman M. DNA double-strand break repair in Caenorhabditis elegans. Chromosoma. 2011;120:1–21. doi: 10.1007/s00412-010-0296-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Maremonti E., Eide D.M., Oughton D.H., Salbu B., Grammes F., Kassaye Y.A., Guedon R., Lecomte-Pradines C., Brede D.A. Gamma radiation induces life stage-dependent reprotoxicity in Caenorhabditis elegans via impairment of spermatogenesis. Sci. Total Environ. 2019;695:133835. doi: 10.1016/j.scitotenv.2019.133835. [DOI] [PubMed] [Google Scholar]
- 49.Banu P., Ali I., Salam M. Effects of gamma radiation on the reproductive organs in the red flour beetle Tribolium castaneum (Herbst) Univ. J. Zool. Rajshahi Univ. 2007;25:11–14. doi: 10.3329/ujzru.v25i0.318. [DOI] [Google Scholar]
- 50.Adam-Guillermin C., Hertal-Aas T., Oughton D., Blanchard L., Alonzo F., Armant O., Horemans N. Radiosensitivity and transgenerational effects in non-human species. Ann. ICRP. 2018;47:327–341. doi: 10.1177/0146645318756844. [DOI] [PubMed] [Google Scholar]
- 51.Takanami T., Mori A., Takahashi H., Horiuchi S., Higashitani A. Caenorhabditis elegans Ce-rdh-1/rad-51 functions after double-strand break formation of meiotic recombination. Chromosome Res. 2003;11:125–135. doi: 10.1023/A:1022863814686. [DOI] [PubMed] [Google Scholar]
- 52.Takanami T., Mori A., Takahashi H., Higashitani A. Hyper-resistance of meiotic cells to radiation due to a strong expression of a single recA-like gene in Caenorhabditis elegans. Nucleic Acids Res. 2000;28:4232–4236. doi: 10.1093/nar/28.21.4232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 53.Brooks K.K., Liang B., Watts J.L. The influence of bacterial diet on fat storage in C. elegans. PLoS One. 2009;4:e7545. doi: 10.1371/journal.pone.0007545. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Cao Z., Hao Y., Fung C.W., Lee Y.Y., Wang P., Li X., Xie K., Lam W.J., Qiu Y., Tang B.Z., et al. Dietary fatty acids promote lipid droplet diversity through seipin enrichment in an ER subdomain. Nat. Commun. 2019;10:2902. doi: 10.1038/s41467-019-10835-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Han S., Schroeder E.A., Silva-Garcia C.G., Hebestreit K., Mair W.B., Brunet A. Mono-unsaturated fatty acids link H3K4me3 modifiers to C. elegans lifespan. Nature. 2017;544:185–190. doi: 10.1038/nature21686. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Grant B., Hirsh D. Receptor-mediated endocytosis in the Caenorhabditis elegans oocyte. Mol. Biol. Cell. 1999;10:4311–4326. doi: 10.1091/mbc.10.12.4311. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Greer E.L., Maures T.J., Ucar D., Hauswirth A.G., Mancini E., Lim J.P., Benayoun B.A., Shi Y., Brunet A. Transgenerational epigenetic inheritance of longevity in Caenorhabditis elegans. Nature. 2011;479:365–371. doi: 10.1038/nature10572. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Kaul T.K., Reis Rodrigues P., Ogungbe I.V., Kapahi P., Gill M.S. Bacterial fatty acids enhance recovery from the dauer larva in Caenorhabditis elegans. PLoS One. 2014;9:e86979. doi: 10.1371/journal.pone.0086979. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Spanier B., Rubio-Aliaga I., Hu H., Daniel H. Altered signalling from germline to intestine pushes daf-2;pept-1 Caenorhabditis elegans into extreme longevity. Aging Cell. 2010;9:636–646. doi: 10.1111/j.1474-9726.2010.00591.x. [DOI] [PubMed] [Google Scholar]
- 60.Ackerman D., Gems D. The mystery of C. elegans aging: An emerging role for fat. Distant parallels between C. elegans aging and metabolic syndrome? Bioessays. 2012;34:466–471. doi: 10.1002/bies.201100189. [DOI] [PubMed] [Google Scholar]
- 61.Doering J.A., Villeneuve D.L., Poole S.T., Blackwell B.R., Jensen K.M., Kahl M.D., Kittelson A.R., Feifarek D.J., Tilton C.B., LaLone C.A., et al. Quantitative Response-Response Relationships Linking Aromatase Inhibition to Decreased Fecundity are Conserved Across Three Fishes with Asynchronous Oocyte Development. Environ. Sci. Technol. 2019;53:10470–10478. doi: 10.1021/acs.est.9b02606. [DOI] [PubMed] [Google Scholar]
- 62.Conolly R.B., Ankley G.T., Cheng W., Mayo M.L., Miller D.H., Perkins E.J., Villeneuve D.L., Watanabe K.H. Quantitative Adverse Outcome Pathways and Their Application to Predictive Toxicology. Environ. Sci. Technol. 2017;51:4661–4672. doi: 10.1021/acs.est.6b06230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 63.Chen J.S., Sappington T.W., Raikhel A.S. Extensive sequence conservation among insect, nematode, and vertebrate vitellogenins reveals ancient common ancestry. J. Mol. Evol. 1997;44:440–451. doi: 10.1007/PL00006164. [DOI] [PubMed] [Google Scholar]
- 64.Polonis M., Jagiello K., Dobosz S., Rozynski R., Kondraciuk P., Gurgul A., Szmatola T., Ocalewicz K. Alterations in the rainbow trout (Oncorhynchus mykiss) eggs exposed to ionizing radiation during induced androgenesis. Reprod. Domest. Anim. 2019;54:712–718. doi: 10.1111/rda.13413. [DOI] [PubMed] [Google Scholar]
- 65.Vrablik T.L., Petyuk V.A., Larson E.M., Smith R.D., Watts J.L. Lipidomic and proteomic analysis of Caenorhabditis elegans lipid droplets and identification of ACS-4 as a lipid droplet-associated protein. Biochim. Biophys. Acta. 2015;1851:1337–1345. doi: 10.1016/j.bbalip.2015.06.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Miller M.A. A Sperm Cytoskeletal Protein That Signals Oocyte Meiotic Maturation and Ovulation. Science. 2001;291:2144–2147. doi: 10.1126/science.1057586. [DOI] [PubMed] [Google Scholar]
- 67.Miller M.A., Ruest P.J., Kosinski M., Hanks S.K., Greenstein D. An Eph receptor sperm-sensing control mechanism for oocyte meiotic maturation in Caenorhabditis elegans. Genes Dev. 2003;17:187–200. doi: 10.1101/gad.1028303. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Huelgas-Morales G., Greenstein D. Control of oocyte meiotic maturation in C. elegans. Semin. Cell Dev. Biol. 2018;84:90–99. doi: 10.1016/j.semcdb.2017.12.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Lettre G., Hengartner M.O. Developmental apoptosis in C. elegans: A complex CEDnario. Nat. Rev. Mol. Cell Biol. 2006;7:97–108. doi: 10.1038/nrm1836. [DOI] [PubMed] [Google Scholar]
- 70.Singson A. Every sperm is sacred: Fertilization in Caenorhabditis elegans. Dev. Biol. 2001;230:101–109. doi: 10.1006/dbio.2000.0118. [DOI] [PubMed] [Google Scholar]
- 71.Cutter A.D. SPERM-LIMITED FECUNDITY IN NEMATODES: HOW MANY SPERM ARE ENOUGH? Evolution. 2004;58:651–655. doi: 10.1111/j.0014-3820.2004.tb01687.x. [DOI] [PubMed] [Google Scholar]
- 72.Murray R.L., Cutter A.D. Experimental evolution of sperm count in protandrous self-fertilizing hermaphrodites. J. Exp. Biol. 2011;214:1740–1747. doi: 10.1242/jeb.053181. [DOI] [PubMed] [Google Scholar]
- 73.Tang H., Han M. Fatty Acids Regulate Germline Sex Determination through ACS-4-Dependent Myristoylation. Cell. 2017;169:457–469.e13. doi: 10.1016/j.cell.2017.03.049. [DOI] [PubMed] [Google Scholar]
- 74.Ackerman D., Tumanov S., Qiu B., Michalopoulou E., Spata M., Azzam A., Xie H., Simon M.C., Kamphorst J.J. Triglycerides Promote Lipid Homeostasis during Hypoxic Stress by Balancing Fatty Acid Saturation. Cell Rep. 2018;24:2596–2605.e5. doi: 10.1016/j.celrep.2018.08.015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Vellai T., Takacs-Vellai K., Sass M., Klionsky D.J. The regulation of aging: Does autophagy underlie longevity? Trends Cell Biol. 2009;19:487–494. doi: 10.1016/j.tcb.2009.07.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Stiernagle T. Maintenance of C. elegans. WormBook. 2006:1–11. doi: 10.1895/wormbook.1.101.1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Porta-de-la-Riva M., Fontrodona L., Villanueva A., Ceron J. Basic Caenorhabditis elegans methods: Synchronization and observation. J. Vis. Exp. 2012:e4019. doi: 10.3791/4019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Duerr J.S. Antibody staining in C. elegans using “freeze-cracking”. J. Vis. Exp. 2013;14:e50664. doi: 10.3791/50664. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Schindelin J., Arganda-Carreras I., Frise E., Kaynig V., Longair M., Pietzsch T., Preibisch S., Rueden C., Saalfeld S., Schmid B., et al. Fiji: An open-source platform for biological-image analysis. Nat. Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Siaut M., Cuine S., Cagnon C., Fessler B., Nguyen M., Carrier P., Beyly A., Beisson F., Triantaphylides C., Li-Beisson Y., et al. Oil accumulation in the model green alga Chlamydomonas reinhardtii: Characterization, variability between common laboratory strains and relationship with starch reserves. BMC Biotechnol. 2011;11:7. doi: 10.1186/1472-6750-11-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data presented in this study are publicly available on request from the corresponding author. No platform already exist to upload such data.