ABSTRACT
Exogenous oestrogen 17β-oestradiol (E2) has been shown to effectively induce feminization in teleosts. However, the molecular mechanisms underlying the process remain unclear. Here, we determined global DNA methylation and gene expression profiles of channel catfish (Ictalurus punctatus) during early sex differentiation after E2 treatment. Overall, the levels of global DNA methylation after E2 treatment were not significantly different from those of controls. However, a specific set of genes were differentially methylated, which included many sex differentiation-related pathways, such as MARK signalling, adrenergic signalling, Wnt signalling, GnRH signalling, ErbB signalling, and ECM–receptor interactions. Many genes involved in these pathways were also differentially expressed after E2 treatment. Specifically, E2 treatments resulted in upregulation of female-related genes and downregulation of male-related genes in genetic males during sex reversal. However, E2-induced sex reversal did not cause sex-specific changes in methylation profiles or gene expression within the sex determination region (SDR) on chromosome 4, suggesting that E2-induced sex reversal was a downstream process independent of the sex determination process that was regulated by sex-specific methylation within the SDR.
KEYWORDS: Sex reversal, methylation, oestrogen, transcription, sex differentiation, teleost
Introduction
Fish account for more than half of all vertebrate species and exhibit very diverse reproductive strategies [1,2]. Among them, gonochoristic species have only ovarian or testicular tissues after sex determination and differentiation, while sequential hermaphrodites can change from male to female or from female to male in their life cycle. For instance, zebrafish (Danio rerio) is a gonochoristic species without sex switch as adults [3], whereas bluehead wrasse (Thalassoma bifasciatum) exhibits dramatic and complete female-to-male sex reversal following social stresses [4]. This diversity and plasticity in fish provide excellent models to study sex determination and differentiation.
Sex determination leads to the binary fate of ovary or testis. In species where sex is determined by genetic factors, the potential of an individual to become specific sex with either an ovary (female) or a testis (male) is determined by their chromosomal composition. However, in many species, especially those with lower teleost fish, sex differentiation may be delayed and altered by environment or sex hormones [5]. Sex steroids are involved in the natural process of sex differentiation and maintenance [6,7], and the administration of exogenous sex steroids can affect the process [8]. In many fish species, oestrogens cause feminization, whereas androgens cause masculinization [8–10].
17β-oestradiol (E2), one of the exogenous oestrogens, has been reported to effectively induce feminization in more than 50 fish species, including, but not limited to the taxonomic families of Cyprinidae, Salmonidae, Cichlidae, and Ictaluridae [8,11], but the underlying mechanisms of the steroid-induced sex reversal remain elusive. In model organisms, oestrogen is involved in the regulation of methylation and transcription [12–14]. After E2 exposure of zebrafish, genes related to ovarian development were significantly upregulated, and they were enriched with genes involved in ECM–receptor interaction, gap junction, and cell adhesion molecules [12].
Previous studies demonstrated that exogenous application of sex steroids, either oestrogens or androgens, caused feminization of channel catfish [15,16]. In the latter case, exogenously applied androgens were likely converted into oestrogens after application [17], but the molecular mechanisms of the hormone-induced sex reversal are unknown. Sex hormones were known to cause changes in genome methylation profiles of several fish species, including zebrafish and three-spine stickleback [13,18]. The objective of this study was to determine the effect of E2 on global methylation and genome expression profiles, in relation to its phenotypic effect on sex reversal. Here, we report the dynamic changes in genome expression of a large set of genes involved in female gonadal sex differentiation, whereas whole-genome methylation and the sex-specific methylation profiles within the sex determination region (SDR) on chromosome 4 were not significantly modified after E2 treatment.
Materials and methods
Ethical statement
This study was performed according to the Guide for the Care and Use of Laboratory Animals and the Animal Welfare Act in the USA. All animal experiments were approved by the Institutional Animal Care and Use Committee (IACUC) at Auburn University.
Experimental design and sample collection
All fish work was performed at the Fish Genetics Laboratory, Auburn University. Fertilized eggs of channel catfish were incubated in wheel troughs to avoid fungal growth. It is difficult to control the concentration of oestrogen in the flow-through trough system. Therefore, starting within the first 2 hours post fertilization, the embryos were taken out of the hatching trough and moved to a tub with static water containing E2 (E8875, Sigma-Aldrich, Saint Louis, USA) at 400 μg/L for 4 hours per day (2 hours in the morning and 2 hours in the afternoon) until 10 days post fertilization (dpf); the embryos were incubated in the hatching troughs between each of the treatment in the morning and afternoon. Starting from 10 dpf, the fry were fed with diets containing E2 at a dose of 200 mg/kg, three times per day to 110 dpf. This concentration in the feed was used in previous studies, e.g., with zebra cichlid Cichlasoma nigrofasciatum, which resulted in 100% feminization [19]. Control fish were reared in the same way as the treatment, except that E2 was not added during the whole process.
Samples from treatment and control groups were collected at 3, 9, 12, 16, and 110 dpf. Embryos or fish were euthanized with MS222, then placed in a 1.5 ml tube and plunged into liquid nitrogen immediately. At 3, 9, 12, and 16 dpf, gonadal differentiation was morphologically invisible, and, therefore, the whole fish samples were collected. Then, the head and tail parts were dissected for DNA extraction to identify genetic sex via PCR analysis using a sex-linked microsatellite marker AUEST0678 [20]. The remaining part was divided longitudinally into two equal parts from the spine, with one-half for DNA isolation for whole-genome bisulphite sequencing (WGBS), and the other half for RNA isolation for RNA sequencing. For samples at 110 dpf, gonads were visible, and the phenotypic sex was determined by gonad morphology; genetic sex was determined via PCR analysis. Gonads were dissected and collected for DNA and RNA isolation.
DNA and RNA extraction
Genomic DNA was extracted using DNeasy Blood & Tissue Kit (Qiagen) following the manufacturer’s protocol. Total RNA was extracted by RNeasy Plus Universal Tissue Mini Kit (Qiagen) according to the manufacturer’s instruction. Genomic DNA and RNA were quantified using Nanodrop 2000, and the quality was assessed by 1% agarose gel electrophoresis.
Whole-genome bisulphite sequencing (WGBS)
For time points at 3, 9, 12, 16, and 110 dpf, equal amounts of genomic DNA from five fish samples of genetic females or males in the treatment and control groups were pooled as one replicate for WGBS libraries construction. At 110 dpf, five DNA samples from pseudo-female gonads were also pooled for library preparation. Three replicates were used for each time point, each sex, and each treatment. A total of 63 libraries (2 sexes × 5 time points × 2 treatment × 3 replicates + 3 pseudo-females) were prepared and sequenced by Illumina NovaSeq6000 S4 platform with paired-end (PE) 150 (CD Genomics, Shirley, NY, USA).
WGBS data analysis
Bisulphite conversion efficiency was assessed by adding unmethylated lambda phage DNA, and over 99% conversion rates were achieved for all samples. Quality control of raw WGBS reads was performed by FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Trimmomatic v0.37 [21] was used to remove adaptor sequences, ambiguous nucleotides, short reads (< 36 bp), and low-quality reads (quality score < 20). Before mapping, the trimmed reads were transformed into fully bisulphite-converted forward (C to T) and reverse read (G to A conversion of the forward strand) versions by the bisulphite alignment programme Bismark v0.22.1 [22]. Channel catfish reference genome IpCoco_1.2 [23] was also converted (C to T and G to A converted) by ‘bismark_genome_preparation’ tool in the Bismark v0.22.1. Then, sequence reads were aligned to converted versions of the genome using Bowtie 2 [24]. Methylation level on each site was extracted using ‘bismark_methylation_extractor’ tool. Upon completion, a run report including percentage methylation of cytosines in CpG, CHG and CHH context, number of methylated and unmethylated cytosines, and the per cent methylation value (context) was produced.
Methylation levels were analysed using SeqMonk v1.45.2 (https://www.bioinformatics.babraham.ac.uk/projects/seqmonk/). The methylation sites located on the 29 chromosomes of channel catfish were imported to SeqMonk, and the minimum read count per position was set to 10 when defining the probe. Methylation percentages were calculated using the ‘bisulfite methylation over feature’ pipeline in SeqMonk with default parameters (http://www.bioinformatics.babraham.ac.uk/projects/seqmonk/). A statistical test between the two groups was performed by logistic regression of proportion-based statistics in SeqMonk with p value < 0.01 with a minimum observation of 10. The determination of differentially methylated sites (DMSs) between the two groups also required a percentage difference greater than 25%.
Differentially methylated genes (DMGs) were defined as DMSs located in their promoter [the 2 kb region upstream of the transcription start site (TSS)] and/or gene body. Gene ontology (GO) and Kyoto Encyclopaedia of Genes and Genomes (KEGG) enrichment analyses of the DMGs were performed using the R package clusterProfiler [25].
Principal component analysis (PCA) was conducted using methyl Kit [26] and plotted by ggplot2 in R [27]. CpG methylation levels of features in the channel catfish genome and average CpG methylation percentage near TSS of different groups were calculated with the results from Bismark.
RNA-seq samples and data analysis
For RNA-seq libraries, RNA from three samples of the same sex (genetic female or genetic male) and the same group (treatment and control) were pooled equalling as a replicate at 3, 16, and 110 dpf. Three replicates were prepared for each group. Additionally, RNA from sex-reversed fish at 110 dpf were also extracted. A total of 39 libraries were generated and sequenced by Illumina NovaSeq6000 S4 platform with PE150 (CD Genomics, Shirley, NY, USA).
Raw reads were trimmed by Trimmomatic v0.37 with length > 36 bp and quality score > 20 [21]. The quality of each sample was assessed using FastQC (https://www.bioinformatics.babraham.ac.uk/projects/fastqc/). The analysis was conducted by mapping reads to channel catfish reference genome IpCoco_1.2 [23] with HISAT2 v2.1.0 [28]. The alignments were saved in SAM format, which were converted and sorted to bam files with SAMtools [29]. HTSeq v0.11.0 was used to quantify the number of expressed transcripts [30]. Differentially expressed genes (DEGs) were identified with DESeq2 with | log2(fold change) | > 1 and adjusted p value < 0.05 [31]. Functional enrichment analysis of DEGs was conducted in R using clusterProfiler [25].
Results
Feminization by E2 exposure
The genetic and phenotypic sex of experimental fish were determined at 110 dpf. Of the 233 fish that were treated with E2, 101 were genetic females and 132 were genetic males. All genetic females were phenotypic females. Among the 132 genetic males, 116 were sex-reversed to phenotypic females (pseudo-females), with a sex reversal rate of 87.9%. In total, 217 phenotypic females (91.8%) were identified among the E2-treated fish (Figure 1). The sex ratio of control was nearly 1:1, including 81 females and 78 males, with no fish being sex-reversed (Figure 1).
Genome-wide DNA methylation profiles after E2 exposure
To determine the effect of E2 on genome methylation, WGBS was conducted with samples of females and males at 3, 9, 12, 16, and 110 dpf, with and without E2 treatment. Samples from pseudo-females at 110 dpf after E2 exposure were also analysed. A total of 1,794 Gb methylome data with 12 billion sequence reads were produced, which yielded an average depth of 35× per sample (Supplementary Table 1). The raw data has been submitted to the NCBI SRA with the BioProject ID PRJNA826119. Of these datasets, an average of 163 million methylated cytosines (mCs) per sample were identified, accounting for 8% of the total sequenced cytosines. Among them, 95% of mCs were in the CpG context, and nearly 80% of the total CpG were methylated (Figure 2(a), Supplementary Table 2). No significant difference in genome methylation levels was observed between E2 treatment and control in both females and males (Figure 2(a)). Likewise, the percentage of mCpG between E2 treatment and control at each time point was also similar (Figure 2(b)). The overall mCpG percentage declined with gonadal differentiation over time from 3 to 110 dpf (Figure 2(b)). Additionally, slight increases in mCpG percentage were observed after E2 treatment at 3, 9, and 16 dpf in both females and males, but a slight decrease was observed at 110 dpf in females; all these differences were not statistically significant (Figure 2(b)). The methylation level of pseudo-females was most similar to that of E2-treated females at 110 dpf (Figure 2(b)).
PCA revealed that the methylation patterns were initially clustered by development, but then by treatment (Figure 2(c)). Samples of E2 treatment and control were effectively separated at 9, 12, and 16 dpf. At 110 dpf, pseudo-females clustered together with both control females and E2-treated females, while control males and E2-treated males were more different.
DMGs and involved gene pathways after E2 exposure
Although the overall levels of methylation after E2 treatment were not significantly different from those of controls, a large number of genes were differentially methylated after E2 treatment (Figure 3(a), Supplementary Table 3). The number of DMGs in males was greater than that in females at both 3 and 9 dpf. At 12 dpf, the numbers of DMGs in females and males were similar between females and males, but became smaller than those at 3 and 9 dpf (Figure 3(a)). At 16 dpf, the number of DMGs in females and males remained low, and they were even smaller in males than in females. At 110 dpf, the number of DMGs became very large, with females harbouring more DMGs than males (Figure 3(a)).
To gain initial insight into the nature of DMGs after E2 treatment during early gonadal differentiation (3, 9, 12, and 16 dpf), the involved pathways were determined through a KEGG pathway enrichment analysis. As shown in Figure 3(b), hypermethylated genes in females were enriched in 10 pathways, including calcium signalling, MARK signalling, adrenergic signalling, Wnt signalling, vascular smooth muscle contraction, apelin signalling, melanogenesis, gap junction, GnRH signalling, and adipocytokine signalling. Hypomethylated genes in females were involved in ErbB signalling (Figure 3(c)).
There were remarkable similarities in pathways involving genes that were hypermethylated in females but hypomethylated in males. The top three pathways involving the largest number of genes had the same pathways hypermethylated in females but hypomethylated in males (compare Figure 3(b) with Figure 3(e)). Genes involved in the ErbB signalling pathway were hypomethylated in both females and males (Figure 3(c,e)). Interestingly, genes involved in certain pathways were both hypermethylated and hypomethylated in males, including cell adhesion molecules and ECM–receptor interaction (Figure 3(d,e)).
Differential expression after E2 exposure
RNA-seq was conducted to determine genomic expression after E2 treatment. A total of 3,950 million raw reads were produced, and 3,689 million clean reads were generated. They have been submitted to NCBI SRA with the BioProject ID PRJNA826119. The average mapping rate was 93.4% (Supplementary Table 4). Expression levels were compared between treatment and control in both females and males, and DEGs were listed in Supplementary Table 5. At 3 dpf, 208 and 283 genes were upregulated in females and males, respectively; 610 and 99 genes were down-regulated in females and males, respectively (Table 1). At 16 dpf, many more genes were differentially expressed in both females (3,636 up and 1,875 down) and males (2,575 up and 1,492 down), but at 110 dpf, the number of DEGs in females was relatively small, with 876 up-regulated genes and 213 down-regulated genes. However, the number of DEGs in males was extremely large, with 5,665 up-regulated genes and 4,609 down-regulated genes (Table 1), presumably because of the transition from genetic males to phenotypic females.
Table 1.
Time point (dpf) | Up-DEGs in females | Down-DEGs in females | Up-DEGs in males | Down-DEGs in males |
---|---|---|---|---|
3 | 208 | 610 | 283 | 99 |
16 | 3,636 | 1,875 | 2,507 | 1,492 |
110 | 876 | 213 | 5,665 | 4,609 |
At 110 dpf, gonads were differentiated such that phenotypic sex could be determined. The KEGG enrichment analysis was conducted using RNA-seq datasets of 3 and 16 dpf, to reveal gene pathways involved in E2-induced sex reversal. As expected, enriched gene pathways among up-regulated genes in females and males were very similar, with each enriched for gene pathways of neuroactive ligand–receptor interaction, calcium signalling, MARK signalling, adrenergic signalling in cardiomyocytes, cell adhesion molecules, and cardiac muscle contraction. The enrichment of these pathways apparently reflected significant advances towards female sex differentiation with both genetic females and genetic males, although the number of genes involved in these enriched pathways in genetic females was larger (compare Figure 4(a) with Figure 4(c)). In contrast, a much larger number of pathways were enriched among down-regulated genes in both females and males. Most of the down-regulated gene pathways were shared between females and males, including DNA replication, focal adhesion, cardiac muscle contraction, cell cycle, ECM–receptor interaction, fatty acid metabolism, glycolysis-pyruvate metabolism, amino acid metabolism, and terpenoid backbone biosynthesis (Figure 4(b,d)). Most of these enriched pathways were involved in growth rather than differentiation, turning the course of prolonged cellular growth as naturally occurring in males, to gonadal sex differentiation as naturally occurring in females.
Principal component analysis was conducted using genomic expression datasets of RNA-seq at 3, 16, and 110 dpf. As shown in Figure 4(e), the developmental time accounted for the largest proportion of variance of gene expression. As such, samples of 3, 16, and 110 dpf were mostly clustered within their own group at the same time point after fertilization, especially at 3 dpf. Over time, the treatment effect accounted for increasing amount of variance in expression. At 16 dpf, the control females and males clustered together, while the treated females and males clustered together. This pattern, however, did not hold true for samples at 110 dpf when control females, treated males, treated females and pseudo-females clustered together, whereas control males were very distant (Figure 4(e)), suggesting all treated fish were most similar to females with regard to genome expression patterns at 110 dpf.
Methylation and gene expression in the SDR after E2 treatment
As with the whole genome, treatment of E2 did not have a specific effect on methylation within the SDR between females and males. As shown in Figure 5, hypermethylation was observed with females in both control and E2-treated fish at 3, 9, 12, and 16 dpf. The overall DMSs between females and males were strikingly similar, with or without treatment, suggesting that E2-induced sex reversal was independent of methylation within the SDR.
The DMGs and DEGs within the SDR after the E2 treatment are summarized in Table 2. A total of 13 genes within the SDR were found to be differentially methylated at least at one time point at 3 or 16 dpf. The patterns of methylation, however, were more dynamic than trending. For example, hydin gene was hypermethylated in females at 3 dpf but not in 16 dpf; while in males it was hypomethylated at 3 dpf but hypermethylated at 16 dpf. There was no clear relationship between methylation and expression of these 13 genes, only six genes, hydin, spred3, rasgrf1, reln, essrrg, and sphkap, of the 13 genes were differentially expressed in at least one sex or at one time point (Table 2). An additional 21 genes were differentially expressed but were not differentially methylated, again suggesting that methylation and expression regulation within the SDR region was independent after E2 treatment.
Table 2.
Gene | Female |
Male |
||||||
---|---|---|---|---|---|---|---|---|
3 dpf |
16 dpf |
3 dpf |
16 dpf |
|||||
Methylation | Expression | Methylation | Expression | Methylated | Expression | Methylation | Expression | |
hydin | Hyper (31) | - | - | Up (15.2) | Hypo (−25) | - | Hyper (26) | Up (3.7) |
aplp2 | Hypo (−32) | - | - | - | Hyper (28) | - | - | - |
rasgrf1 | - | - | - | Up (8.0) | Hyper (31) | - | - | Up (4.9) |
alpk3a | Hyper (−31) | - | - | Down (2.2) | - | - | - | - |
nectin1 | Hypo (−27) | - | - | - | - | - | - | - |
reln | - | - | - | Up (8.9) | - | - | Hyper (26) | Up (7.3) |
ltbp4 | - | - | - | - | Hypo (−25) | - | - | - |
golgb1 | - | - | - | - | Hypo (−33) | - | - | - |
ppfia1 | Hypo (−38) | - | - | - | - | - | - | - |
zbbx | - | - | Hypo (−27) | - | - | - | - | Up (2.6) |
mbtps1 | - | - | Hypo (−29) | - | Hyper (32) | - | Hyper (39) | - |
bcar1 | Hypo (−37) | Hyper (25) | - | - | - | - | - | |
pard6a | Hyper (29) | Down (2.0) | - | - | Hypo (−37) | - | - | - |
kcnj1 | - | - | - | Up (2.9) | - | - | - | - |
ehd2b | - | Down (2.1) | - | - | - | - | - | - |
idh2 | - | - | - | Down (4.1) | - | - | - | Down (2.8) |
ttc36 | - | - | - | Up (2.3) | - | - | - | - |
slc28a1 | - | - | - | - | - | - | - | Down (2.1) |
treh | - | - | - | - | - | - | - | Down (2.4) |
spred3 | - | - | - | Up (11.0) | - | - | - | Up (4.0) |
dner | - | - | - | Up (15.2) | - | - | - | Up (6.0) |
sphkap | - | - | - | Up (9.4) | - | - | - | Up (5.5) |
sptbn4 | - | - | - | Up (2.9) | - | - | - | Up (2.7) |
esrrd | - | - | - | Up (6.6) | - | - | - | Up (4.0) |
shank2 | - | - | - | Up (7.6) | - | - | - | Up (7.9) |
serpini1 | - | - | - | Up (2.9) | - | - | - | Up (2.1) |
wdr49 | - | - | - | - | - | - | - | Up (2.2) |
necab2 | - | - | - | Up (5.0) | - | - | - | Up (3.0) |
slc38a8 | - | - | - | Up (7.9) | - | - | - | - |
nutf2 | - | - | - | Down (2.2) | - | - | - | - |
tsnaxip1 | - | - | - | Up (4.7) | - | - | - | Up (4.9) |
carmil2 | - | - | - | Up (6.2) | - | - | - | Up (3.2) |
gnao1a | - | - | - | Up (3.6) | - | - | - | Up (2.5) |
nr2f2 | - | - | - | Up (2.7) | - | - | - | Up (3.3) |
Methylation and gene expression in pseudo-females
As described above, E2 treatment caused sex reversal of 87.9% of the genetic males to phenotypic females. To elucidate methylation and gene expression in pseudo-females, patterns of DNA methylation, both within the SDR and the whole genome, and profiles of gene expression were compared between females, males, and pseudo-females. As shown in Figure 6, methylation profile within the SDR of pseudo-females at 110 dpf was more similar to those of males than to those of females. Thus, for most of the DMSs, hypermethylation was observed within females in the control (Figure 6(a)). Similarly, many of the hypermethylated sites within females as compared with males remain hypermethylated when compared with pseudo-females (Figure 6(b)). In contrast, there were few DMSs between control males and pseudo-females at 110 dpf (Figure 6(c)), suggesting a high level of similarity of methylation between pseudo-females and males within SDR.
The methylation profile in the whole genome was different from those of the SDR. As shown in Figure 6(d), when the whole-genome DMGs were compared, the largest difference was found to be between control females and control males. Thus, 437 DMGs were hypermethylated in control females, and 860 DMGs were hypomethylated in control females when compared with control males. The difference between control females and pseudo-females was very small, with only 28 DMGs being hypermethylated in control females and 20 DMGs being hypomethylated in control females. When pseudo-females were compared with control males, the difference was larger than the difference between control females and pseudo-females, but much smaller than the difference between control females and males (Figure 6(d)). Taken together, the whole-genome methylation profiles of pseudo-females were most similar to those of control females.
Whole-genome expression of pseudo-females at 110 dpf was also much more similar to that of females. As shown in Figure 6(e), a total of 13,762 and 10,630 genes were differentially expressed between control females and control males and between control males and pseudo-females at 110 dpf, respectively. However, the number of DEGs between control females and pseudo-females was much smaller, only 2,064 (254 higher in control females and 1,810 higher in pseudo-females).
Methylation and expression of some known sex-related genes
Methylation and expression of a set of 12 female sex-related genes and 15 male sex-related genes were examined in E2-treated genetic males. A detailed description of these genes is provided in Supplementary Table 6. Methylation and expression profiles of these sex-related genes between E2-treated genetic males and control males were compared. As shown in Figure 7, in most cases, female sex-related genes were up-regulated following E2 treatment, especially at 16 dpf, while the expression of most male sex-related genes was down-regulated, especially at 110 dpf.
The effect of E2 treatment on methylation profiles with these genes did not show a specific pattern. Diverse relationships between methylation and gene expression were observed (Figure 7). For example, female-related genes, cyp19a1, figla, and hsd17b1 exhibited an inverse correlation between methylation and gene expression, while no obvious correlation was found in some male-related genes (dmrt1, pld1a, amh, amhr2, cyp1a1, pla2g4ab, and rspo1) and in some female-related genes (foxl2a, cyp11a, and hsd17b2). Additionally, the methylation of some genes was positively correlated with gene expression, including fshr, gnrhr1, cyp17, tcf21, fstl1b, pdgfrb, and wt1b.
Discussion
It is well known that the sex of many fish can be reversed at the undifferentiated stage of gonad by the administration of high doses of exogenous 17β-oestradiol (E2) [32–35]. However, the molecular mechanisms underlying sex reversal are still not fully understood. In this study, whole-genome DNA methylation and gene expression profiles were analysed in females and males of channel catfish during the time of gonadal sex differentiation after E2 exposure. The treatment of E2 caused sex reversal of over 87% of the genetic males into phenotypic females (pseudo-females), but the global methylation profiles were not significantly modified in either females or males. However, a specific set of genes, especially those that were normally highly expressed in females, were differentially expressed after treatment, with or without differential methylation, suggesting that epigenetic regulation may be involved, but were not particularly directional in relation to sex reversal.
DNA methylation is highly dynamic, playing important roles in response to environmental cues [36,37]. Increasing numbers of reports indicated that external stimuli may cause epigenetic changes in various organisms [37–39]. For instance, female-to-male sex reversal occurred under high temperature in Nile tilapia (Oreochromis niloticus), and both females and males showed increased methylation levels [37]. The hatchery-reared and seawater brown trout (Salmo trutta) showed significant differences in genome-wide methylation patterns, and salt-rich diets affected genome-wide methylation in hatchery-reared brown trout [40]. E2 exposure caused global genomic hypermethylation in male gonads of stickleback [15].
In the current study, whole-genome methylation level was not significantly different after E2 treatment in either females or males. However, a large number of DMSs and DMGs were identified in both females and males. DMGs after E2 exposure were significantly enriched in pathways involved in gonadal sex differentiation, such as calcium signalling pathway, MAPK signalling pathway, adrenergic signalling pathway, Wnt signalling pathway, GnRH signalling pathway, ErbB signalling pathway, and enriched in differentiation such as melanogenesis, gap junctions, adipokine signalling pathway, and ECM–receptor interactions. GnRH signalling pathway is a key regulator of the reproductive system [41]. The binding of GnRH to the receptor triggers a series of signal transduction events and leads to the synthesis and release of the gonadotropins, luteinizing hormone (LH), and follicle stimulating hormone (FSH) [42]. The ErbB receptors signal through Akt, MAPK, and many other pathways to regulate cell proliferation, migration, differentiation, apoptosis, and cell motility [43]. Studies have revealed that erbB1 and erbB4 receptors signalling in glial cells controlled female sexual development and the onset of female puberty in mammals [44,45]. ECM–receptor interaction is involved in a variety of cellular activities such as adhesion, migration, differentiation, proliferation, and apoptosis [46] and can regulate the synthesis of steroid hormone [47]. ECM–receptor interaction was associated with the primordial follicle activation and follicular development in mice [48], which was also implicated in ovarian function in pigs [47], goats [49], cattle [50], and tilapia [51]. The MAPK signalling pathway integrated with the GnRH signalling pathway is necessary for normal fertility [42]. The MAPK signalling pathway mediates the balance between ovary- and testis-promoting genes and is related to the gonadal sex reversal in mice and humans [52–56].
It was interesting to note that most of the enriched pathways with genes hypermethylated in E2-treated females overlapped with those with genes hypomethylated in E2-treated males (Figure 3(b,e)), suggesting sex-specific methylation and regulated expression of the same set of genes were important for female gonadal sex differentiation, leading to sex reversal from genetic males to phenotypic females.
Up-regulated DEGs after E2 exposure were enriched in ligand–receptor interaction, calcium signalling, MARK signalling, and cell adhesion molecules pathways, while down-regulated DEGs were involved in growth rather than differentiation (Figure 4(a-d)). Given that female gonads differentiate well ahead of male gonadal sex differentiation in channel catfish (female differentiation at around 19 dpf, male at over 90 dpf) [57], these results were expected because increased expression of genes leading to female gonadal sex differentiation should have promoted sex differentiation into females, rather than the normal situation in genetic males that continued with prolonged cell growth and proliferation.
Despite regulated methylation and expression of a specific set of genes, E2-induced sex reversal appeared to be independent of methylation and regulated expression in the sex determination region (SDR). The methylation profiles within the SDR remained similar before and after treatment with E2, in both females and males (Figure 5). Although over a dozen genes within the SDR were differentially expressed after the treatment of E2, their expression also appeared to be independent of the methylation within the SDR (Table 2). These results suggested that the E2-treated males, even the pseudo-females at 110 dpf, exhibited a methylation profile within the SDR similar to that of normal males. However, in terms of whole-genome methylation profiles, the pseudo-females exhibited a pattern that was extremely similar to that of normal females at 110 dpf. Similarly, for gene expression, the E2-treated fish were increasingly more like normal females such that at 110 dpf, the number of DEGs between control females and pseudo-females was the smallest of the three pairs of comparisons (Figure 6).
Oestrogen is likely at the downstream of the sex determination process [58,59]. In channel catfish, sex is determined genetically by inheritance, with XY being males. Through genetic linkage mapping and genome-wide association studies, the sex determination locus of channel catfish was mapped to chromosome 4 within the 8.9 Mb SDR [60,61]. This region was shown to have sex-specific DNA methylation, and the sex-specific methylation in turn regulates expression of a set of genes within the SDR [62]. In this study, DMGs and DEGs within the SDR after E2 treatment exhibited dynamic changes at different time points (Table 2) without specific correlations with sex. Additionally, the DMSs within the SDR between females and males were strikingly similar in E2 treatment and control (Figure 5), suggesting that E2-induced sex reversal was independent of the SDR and was the downstream of the sex determination pathway.
Sex development is regulated by a network of genes that generate gene cascade leading to establishment of sex phenotypes [63,64]. The functions of these sex-related genes are highly conserved across species. Our results revealed that the majority of genes documented to be associated with sex differentiation and ovarian steroidogenesis in other vertebrates had similar overall expression patterns in channel catfish. Most of the genes known to be highly expressed during female sex differentiation in other species were up-regulated in E2-treated males, whereas most of the genes known to be highly expressed during male sex differentiation in other species were down-regulated in E2-treated channel catfish males (Figure 7).
The E2 treatment-induced expression of a specific set of genes important for female sex differentiation, including cyp19a1, cyp17, cyp11a, gnrhr1, foxl2a, cga, lhb, hsd17b1, hsd17b2, and figla. These findings are consistent with those reported in the Asian seabass (Lates calcarifer) implanted with E2 [39]. Cyp19a1 is a key gene in the conversion of endogenous androgens to oestrogen and ovarian differentiation in various teleosts. It is regulated by sex-biased methylation and involved in DNA methylation mediated sex reversal following heat induction in the European sea bass [65]. In this study, DNA methylation in promoter of cyp19a1 was reduced, and gene expression was increased in pseudo-females compared with control males. Foxl2 is a conserved gene with function of ovarian differentiation in vertebrates [66,67]. Studies have demonstrated that foxl2 was a direct transcriptional activator of the cyp19a1 gene, which was observed in goat [68] and chicken [69]. The expression pattern of foxl2 was also found to be synchronized with cyp19a1 in teleosts, such as air-breathing catfish (Clarias gariepinus) [70,71], zebrafish [72], Nile tilapia [73], medaka (Oryzias latipes) [74], rainbow trout [75], spotted scat (Scatophagus argus) [76], and black porgy (Acanthopagrus schlegeli) [77]. In the present study, foxl2a was up-regulated after E2 exposure since 16 dpf, without significant changes in DNA methylation, which was similar to the study in Asian seabass [39]. The results implied that exogenous oestrogen-induced upregulation of foxl2 in genetic males of channel catfish, which resulted in increased expression of cyp19a1, leading to the conversion of endogenous androgens to oestrogens. The accumulation of endogenous oestrogen and the reduction of androgens were considered to be the determinant of sex differentiation in teleost fish [11,78], explaining the conversion of genetic males to phenotypic females after E2 exposure. Furthermore, figla is another female-specific gene which plays important roles in folliculogenesis, fertilization, and early development [79,80]. Disruption of figla gene led to an all-male phenotype in zebrafish [80]. In this study, the promoter methylation of figla was decreased, and its expression was significantly increased after E2 treatment.
Phenotypic sex is governed by an antagonistic interaction between feminizing and masculinizing gene networks [81]. E2 treatment also suppressed a specific set of genes important for male sex differentiation, leading to sex reversal from genetic males to phenotypic females. These genes included amhr2, amh, wt1a, wt1b, dhh, pld1a, dmrt1, pdgfrb, cyp1a1, pla2g4ab, tcf21, rspo1, and fstl1b (Figure 7). Dmrt1 is essential to testis determination in birds, reptiles, amphibians, and teleost fish [81–85]. Exogenous oestrogen exposure has been observed to reduce dmrt1 expression in red‐eared slider turtle (Trachemys scripta), pejerrey (Odontesthes bonariensis) and rainbow trout [86–88]. In addition, amh is also involved in testicular development and function [89]. Exposure to 17α-ethinylestradiol suppressed the expression of amh in zebrafish [90]. Taken together, increased expression of female sex-related genes and reduced expression of male sex-related genes worked together for sex reversal of genetic males to phenotypic females.
DNA methylation was generally thought to be negatively correlated with gene expression, while recent studies revealed a more dynamic and complex association between DNA methylation and expression than previously known [91–93]. In this study, we observed negative relationships between methylation and gene expression in female-related genes (cyp19a1, figla, and hsd17b1), but most male-related genes did not show obvious correlation between methylation and gene expression (Figure 7), suggesting that the regulation of genes involved in sex reversal may be more complex, with some being epigenetically regulated, while many others may be regulated by other factors including being a secondary response after the primary response to the oestrogen treatment.
Supplementary Material
Acknowledgments
This project was supported by the Agriculture and Food Research Initiative (AFRI) Competitive Grants 2019-67015-29409 from the USDA National Institute of Food and Agriculture (NIFA) Animal Reproduction Program.
Funding Statement
This work was supported by the National Institute of Food and Agriculture [2019-67015-29409].
Data availability statement
The authors confirm that the data supporting the findings of this study are available within the article [and/or] its supplementary materials. The short sequence reads were deposited to NCBI SRA https://www.ncbi.nlm.nih.gov/sra/docs/ with the BioProject ID PRJNA826119.
Disclosure statement
No potential conflict of interest was reported by the author(s).
Ethical approval
Experimental protocols of animal care and tissue collection were approved by the Auburn University Institutional Animal Care and Use Committee (AU-IACUC).
Supplementary material
Supplemental data for this article can be accessed online at https://doi.org/10.1080/15592294.2022.2086725
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Supplementary Materials
Data Availability Statement
The authors confirm that the data supporting the findings of this study are available within the article [and/or] its supplementary materials. The short sequence reads were deposited to NCBI SRA https://www.ncbi.nlm.nih.gov/sra/docs/ with the BioProject ID PRJNA826119.