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Article

A First Insight into the Gonad Transcriptome of Hong Kong Catfish (Clarias fuscus)

by
Xinghua Lin
1,2,
Dayan Zhou
3,
Xiaomin Zhang
1,
Guangli Li
1,2,4,
Yulei Zhang
1,2,
Cailin Huang
3,
Zhixin Zhang
3 and
Changxu Tian
1,2,4,*
1
Fisheries College, Guangdong Ocean University, Zhanjiang 524088, China
2
Guangdong Research Center on Reproductive Control and Breeding Technology of Indigenous Valuable Fish Species, Guangdong Provincial Engineering Laboratory for Mariculture Organism Breeding, Guangdong Provincial Key Laboratory of Pathogenic Biology and Epidemiology for Aquatic Economic Animals, Guangdong Ocean University, Zhanjiang 524088, China
3
Guangxi Introduction and Breeding Center of Aquaculture, Nanning 530001, China
4
Southern Marine Science and Engineering Guangdong Laboratory, Zhanjiang 524088, China
*
Author to whom correspondence should be addressed.
Animals 2021, 11(4), 1131; https://doi.org/10.3390/ani11041131
Submission received: 9 March 2021 / Revised: 11 April 2021 / Accepted: 12 April 2021 / Published: 15 April 2021
(This article belongs to the Special Issue Aquaculture Genetics and Genomics)
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Abstract

:

Simple Summary

The male Hong Kong catfish (Clarias fuscus) grows significantly faster than females, and monocultured males are more commercially available. However, little is known about the molecular regulatory mechanisms of the gonadal development and reproduction process in Hong Kong catfish, limiting the development of monosex cultures. In this study, a high quality transcriptome was constructed from the testes and ovaries of Hong Kong catfish. The regulatory networks of sex-related pathways were explored through Gene Ontology (GO), Kyoto Encyclopedia of Gene and Genome (KEGG) pathway enrichment, and bioinformatics analyses. The results showed that sex-related pathways related to primordial germ cell development, oocyte maturation, gonadal development and steroid biosynthesis were significantly enriched in the gonad transcriptome. This is the first study on the gonad transcriptome of Hong Kong catfish, which provides an important molecular basis for the sex identification and sex-controlled breeding of these catfish.

Abstract

Hong Kong catfish (Clarias fuscus) exhibit sexual dimorphism, particularly in body size. Due to the fast growth rate of males, the sexual size dimorphism of Hong Kong catfish has become an economically important trait. However, limited knowledge is known about the molecular mechanisms of sex determination and sex differentiation in this species. In this study, a first de novo transcriptome sequencing analysis of testes and ovaries was performed to identify sex-biased genes in Hong Kong catfish. The results showed that a total of 290,291 circular consensus sequences (CCSs) were obtained, from which 248,408 full-length non-chimeric (FLNC) reads were generated. After non-redundant analysis, a total of 37,305 unigenes were predicted, in which 34,342 unigenes were annotated with multiple public databases. Comparative transcriptomic analysis identified 5750 testis-biased differentially expressed genes (DEGs) and 6991 ovary-biased DEGs. The enrichment analysis showed that DEGs were classified into 783 Gene Ontology (GO) terms and 16 Kyoto Encyclopedia of Gene and Genome (KEGG) pathways. Many DEGs were involved with sex-related GO terms and KEGG pathways, such as oocyte maturation, androgen secretion, gonadal development and steroid biosynthesis pathways. In addition, the expression levels of 23 unigenes were confirmed to validate the transcriptomic data by quantitative real-time polymerase chain reaction (qRT-PCR). This is the first investigation into the transcriptome of Hong Kong catfish testes and ovaries. This study provides an important molecular basis for the sex determination and sex control breeding of Hong Kong catfish.

1. Introduction

Sexual dimorphism refers to the differences between males and females of the same species. The sex dimorphism of fish includes the differences in individual size, shape and color, physiology and behavior [1]. For example, the growth rate of half-smooth tongue sole (Cynoglossus semilae) female fish is higher than male fish [2], while in Nile tilapia (Oreochromis niloticus), the growth rate of male fish is 30% faster than that of female fish [3]. In aquaculture, it is of great economic significance to realize monosex fish culture based on the regulation mechanism of sex determination and differentiation of fish [4]. At present, monosex fish cultures have been conducted with some fish species, such as yellow catfish (Pelteobagrus fulvidraco) [5], Nile tilapia [6] and silver barb (Puntius gonionotus) [7].
The mechanisms of sex determination and sex differentiation in fish are very complex; they are affected by genetic factors, and closely related to the external environment and its self-endocrine regulation. Genetic sex determination (GSD) is usually determined by single or polygenes located on the sex chromosome [8]. The expression of sex determining genes regulates the signal pathways of sex determination and sex differentiation, inducing the development of primordial gonads to ovaries or testes. Many genes related to sex determination and sex differentiation have been identified in fish, such as doublesex and mab-3 related transcription factor 1 (dmrt1), anti-mullerian hormone (amh), gonadal soma-derived factor (gsdf), forkhead box l2 (foxl2), wnt family member 4 (wnt4), r-spondin 1 (rspo1) and cytochrome p450 family 19 subfamily a member 1a (cyp19a1a) [9,10]. Due to the significant differences in the sex determination mechanisms among different fish species, the sex determination genes of teleost fish also show diversity [8,11]. At present, the limited functional genes studied cannot accurately clarify the mechanism of gender regulation. It is necessary to deeply study the law of sex determination and its regulatory mechanisms in different species. Genes involved in sex determination and sex differentiation in fish vary significantly among species. However, no studies comprehensively and accurately elucidate the mechanisms of sex regulation in fish, and intensive studies are needed among different species.
The Hong Kong catfish (Clarias fuscus) is a freshwater economic fish cultivated in Southern China [12]. This species has characteristics of strong adaptability, fast growth and delicious meat, which is favored by both farmers and consumers. At the same time, the Hong Kong catfish has obvious sex growth dimorphism. Under the same culture conditions, the growth rate of male fish is significantly faster than female fish at the same age. However, the problem of the high gonadal index of female fish on the market is prominent [13]. Therefore, the monosex fish culture of Hong Kong catfish has important economic significance. Some genes related to sex determination and sex differentiation have been cloned in Hong Kong catfish, such as dmrt1, foxl2 and cytochrome p450 family 19 subfamily a member 1b (cyp19a1b). dmrt1 is a specific gene expressed in the testis of Hong Kong catfish, which may be closely related to male determination, spermatogenesis and testicular development [14]. foxl2 may play an important role in the process of gonadal differentiation of Hong Kong catfish [15]. cyp19a1b is a factor affecting gonadal differentiation through the hypothalamic pituitary gonadal (HPG) axis in Hong Kong catfish [16]. However, the studies on gonadal development and sex-biased genes of this species are limited, which seriously restricts the promotion and development of the aquaculture industry.
Transcriptome sequencing is a rapid, economical and effective method to detect differences in gene expression, which plays an important role in molecular marker assisted selection [17,18]. Of these, the full-length transcriptome is based on single molecule real-time sequencing (SMRT) technology to obtain complete and high-quality full-length transcripts. This technique can accurately identify the gene information of alternative splicing, gene family and long non-coding RNA (lncRNA). Some transcriptome studies were carried out on amur sturgeon (Acipenser schrenckii) [19], pacific white shrimp (Litopenaeus vannamei) [20] and golden cuttlefish (Sepia esculenta) [21] through a combination of SMRT and Illumina techniques. In this study, a high-quality gonadal transcriptome of Hong Kong catfish was established by the combination of SMRT and Illumina techniques. Comparative transcriptome analysis was conducted for screening sex-biased genes in Hong Kong catfish gonads. This provides a molecular basis for elucidating the mechanism of sex determination and sex differentiation in Hong Kong catfish.

2. Materials and Methods

2.1. Ethics Statement

All experimental protocols in this study were approved by the Animal Research and Ethics Committee of Guangdong Ocean University (NIH Pub. No.85–23, revised 1996). This study does not involve endangered or protected species.

2.2. Sample Collection and RNA Extraction

In this study, Hong Kong catfish (C. fuscus) were obtained from the Guangxi Aquatic Products Introduction and Breeding Center, Guangxi, China. Three male (body weight, 213.23 ± 2.90 g) and three female (body weight, 189.97 ± 2.50 g) Hong Kong catfish were collected for gonad sampling. The genders were identified by morphological observation of the gonads. It was shown that the stage IV ovaries were enlarged and appeared long, cystic, full of eggs, and could not flow out of the cloaca [22]. The stage IV testes were inconspicuously branched, the colors were white or light red, the surface folds were obvious, and the blood vessels were thick and many [22,23,24]. According to studies on gonad morphology observation, the ovaries and testes of Hong Kong catfish were in stage IV in this study. Fish were sacrificed by decapitation following deep anesthetization with a eugenol (Macklin, China) bath (1:10,000). Stage IV gonad samples were obtained by dissection, immediately frozen in liquid nitrogen and stored at −80 °C until total RNA extraction.
Total RNA of the gonad was extracted from six fish using RNAiso Plus (Takara, Japan), according to the manufacturer’s instructions. Tissue samples can be fully cleaved in RNAiso Plus. After adding chloroform and centrifugation, the solution was stratified and the supernatant layer (RNA is distributed in the supernatant layer) was collected. Total RNA was recovered by isopropanol precipitation and ethanol cleaning. The RNA sample degradation and contamination was detected by 1% agarose gel electrophoresis. The RNA sample purity was checked by the NanoDrop 2000 (Thermo Scientific, Waltham, MA, USA). The RNA integrity was accurately detected by the Agilent 2100 bioanalyzer (Agilent Technologies, Palo Alto, CA, USA). Total RNA with an RNA integrity number (RIN) score >7 was used for sequencing.

2.3. Full-Length Transcriptome Sequencing

The full-length transcriptome library was constructed by mixing RNA samples from three female and three male gonads of Hong Kong catfish. The mixed total RNA was reverse transcribed into complementary DNA (cDNA) by a SMARTer PCR cDNA Synthesis Kit (Takara, Japan), according to the manufacturer’s instructions. The mixture of Total RNA and 3 SMART CDS Primer II A was placed in a centrifuge tube, then incubated at 72 °C for 3 min and treated at 42 °C for 2 min. Then, Master Mix (containing 5× First-Strand Buffer, DTT, dNTP Mix, SMARTer II A Oligonucleotide, RNase Inhibitor and SMARTScribe Reverse Transcriptase) was added to the centrifuge tube to incubate at 42 °C for 1 h, and then heated at 70 °C for 10 min to stop the reaction. The cDNA was amplified by PCR, and the end of the cDNA was repaired. The cDNA was connected with adaptors to obtain the sequencing library (insert size of 1–6 kb). The library was sequenced on a PacBio platform.
The adaptors, low-quality reads and short fragments in the raw reads were filtered to obtain clean reads. The circular consensus sequence (CCS) was obtained through conditional screening (min FullPass = 3 and min Predicted Accuracy = 0.9). Full-length non-chemiric (FLNC) transcripts were determined by searching for the polyA tail signal and the 5′ and 3′ cDNA primers in CCS. Iterative Clustering for Error Correction (ICE) was used to obtain consensus isoforms, which were polished using Quiver. The high-quality transcript was obtained based on the results of consensus isomer polishing (criteria post-correction accuracy > 99%). Cluster Database at High Identity with Tolerance (CD-HIT) [25] was used to remove redundant sequences from high-quality transcripts for obtaining unigenes.

2.4. Illumina Transcriptome Sequencing

Six Illumina sequencing libraries (three female ovaries and three male testes of Hong Kong catfish) were constructed using the NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (New England Biolabs, Palo Alto, CA, USA), following the manufacturer’s instructions. The libraries were sequenced on the Illumina Hiseq platform. The clean reads were obtained by removing reads containing adapters, reads containing ploy-N, and low-quality reads from the raw data. At the same time, Q20, Q30 and GC content of the clean data were calculated. The clean reads were mapped to the unigenes from full-length transcriptome by Spliced Transcripts Alignment to a Reference (STAR) [26].

2.5. Transcriptome Gene Annotation

To obtain annotation information for the transcripts, the unigenes from the full-length transcriptome predicted the open reading frames (ORFs) using a TransDecoder (https://github.com/TransDecoder/TransDecoder/releases, accessed on 23 December 2020). The unigenes were annotated to the public databases of the National Center for Biotechnology Information (NCBI) Refseq (NR) [27], Gene Ontology (GO) [28], the Kyoto Encyclopedia of Genes and Genomes (KEGG) [29], clusters of orthologous groups for eukaryotic complete genomes, Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups (eggNOG), Swiss-Prot [30] and the Protein families database (Pfam) [31] by Basic Local Alignment Search Tool (BLAST) v2.2.26 (e-value 1 × 10−5) [32].

2.6. Identification of lncRNAs and Simple Sequence Repeats (SSRs)

lncRNAs and SSRs were identified from the full-length transcriptome of the Hong Kong catfish. Four computational approaches, including the Coding Potential Calculator (CPC) [33], Coding-Non-Coding Index (CNCI) (https://github.com/www-bioinfo-org/CNCI/, accessed on 23 December 2020), Coding Potential Assessment Tool (CPAT) [34], and Pfam [31] were combined to sort non-protein-coding RNA candidates from putative protein-coding RNAs in the transcripts. Putative protein-coding RNAs were filtered out using a minimum length and exon number threshold. Transcripts with lengths greater than 200 nt, having more than two exons, were selected as lncRNA candidates and screened using CPC/CNCI/CPAT/Pfam, which can distinguish the protein-coding genes from the non-coding genes. SSRs were identified in all transcripts (>500 bp) by MISA (http://pgrc.ipk-gatersleben.de/misa/, accessed on 18 January 2021). Two SSR distances less than 100 bp were regarded as compound SSR.

2.7. Differential Expression Gene Analysis

The differential expression genes (DEGs) were identified by comparing the Illumina transcriptome of both female and male gonads. The expression level of each transcript was identified using FeatureCounts v1.5.0 [35], to count the number of reads to map each unigene. Then, the fragments per kilobase of transcript per million fragments mapped (FPKM) of each unigene were calculated based on the length of the gene, and reads counts mapped to the unigene. The read counts were adjusted by the edge R program package [36] through one scaling normalized factor for each sequenced library. Differential expression analysis of two samples was performed using the EBSeq R package [37]. The false discovery rate (FDR) was adjusted using the posterior probability DE (PPDE). The FDR < 0.05 and |log2(foldchange)| ≥1 were set as the threshold for significant DEGs. GO enrichment analysis of the DEGs was implemented by the GOseq R packages [38] based on Wallenius non-central hyper-geometric distribution. We used KOBAS v2.0 software [39] to test the statistical enrichment of DEGs in KEGG pathways.

2.8. Gene Expression Validation

To verify the DEG expression from RNA-seq data, a total of 23 DEGs were randomly selected. The primers of all selected genes were designed by Primer Premier Software v6.0, and are listed in Table S1. A quantitative real-time polymerase chain reaction (qRT-PCR) was performed using TransStart® Green qPCR SuperMix (Transgene, Beijing, China) according to the manufacturer’s instructions on a LightCycler real-time quantitative PCR system (Roche, Indianapolis, IN, USA). The β-actin gene was used as an internal reference gene. PCR reactions were performed in triplicate. The relative expression level was measured in terms of threshold cycle value and normalized using the equation 2−ΔΔCt.

3. Results

3.1. Transcriptome Data from the Gonads of Hong Kong Catfish

Based on the PacBio platform, the full-length transcriptome was constructed by SMRT sequencing technology. After quality filtering, 22.25 Gb clean data was obtained from one long-insert (1–6 kb) library. A total of 290,291 circular consensus sequences (CCSs) were obtained through conditional screening (full passes ≥ 3; sequence accuracy > 0.90) of clean data, in which the average of the CCS length was 2506 bp. The CCS contained 5′ and 3′-primers and polyA tail as full-length non-chimeric (FLNC) reads. Consequently, a total of 248,408 (85.57%) CCSs were identified as FLNC reads. The similar sequences (multi-copy transcripts) in the FLNC reads were clustered together. The longest sequence of each cluster was consensus isoform. A total of 69,148 consensus isoforms were obtained, of which 66,958 were high-quality consensus isoforms (sequence accuracy > 99%). The low-quality consensus isoform was corrected by the Illumina transcriptome data, and the 37,305 unigenes were obtained by non-redundant analysis after correction (Table 1).
To identify the sex-biased genes in the gonad tissue of Hong Kong catfish, six cDNA libraries (three male and three female) were generated using the Illumina platform. A total of 144,597,630 clean reads were obtained. The scores of Q20 and Q30 levels ranged from 97.82% to 98.34%, and 94.29% to 95.15%, respectively. The sequence alignment between the Illumina sequencing transcriptome clean reads and full-length transcriptome unigenes was used for differential gene analysis. The results showed that the mapping rate of the female library was higher than 87%, and the rate of the male library was higher than 74% (Table 2).

3.2. Transcriptome Annotation

The functions of the unigenes were annotated in the multiple public databases by BLAST (version 2.2.26). A total of 34,342 (92.06%) unigenes were annotated in the public databases. The results showed that 34,221 (91.73%), 26,710 (71.60%), 22,010 (59.00%), 34,144 (91.53%), 29,797 (%), 25,868 (69.34%) and 33,442 (89.64%) unigenes were matched in NR, GO, KEGG, Swiss-Prot, Pfam, KOG (EuKaryotic Orthologous Groups) and eggNOG databases, respectively (Table 3; Figures S1–S4).

3.3. Identification of lncRNAs and SSRs

Four methods of CPC, CNCI, pfam and CPAT analyses were used to predict lncRNAs. The results showed that 3562, 6453, 6922 and 5131 lncRNAs were predicted by CPC, CNCI, Pfam and CPAT, respectively. A total of 3015 unique transcripts were identified as lncRNAs by four tools (Figure 1A).
A total of 64,254 SSRs were identified from unigenes longer than 500 bp (Figure 1B). Most of the SSRs identified were mono-nucleotide SSR (27,530, 42.85%), followed by the di-nucleotide SSR (15,921, 24.78%), compound SSR (13,766, 21.42%), trinucleotide SSR (6016, 9.36%), tetra-nucleotide SSR (945, 1.47%), penta-nucleotide SSR (75, 0.12%) and hexa-nucleotide SSR (1, 0.0016%).

3.4. Identification of Sex-Biased Genes and Enrichment Analysis

Comparative analyses were performed to obtain sex-based genes. A total of 12,741 DEGs were obtained between the testes and ovaries. Of these genes, 5750 unigenes were male-biased DEGs, and 6991 unigenes were female-biased DEGs. In addition, sex-specific genes were detected, including 192 male SEGs and 625 female SEGs (Figure 2, Table S2).
To explore genes associated with sexual differentiation and gonadal development, sex-related GO annotation and KEGG pathway analysis was searched for in all DEGs. According to GO enrichment analysis, DEGs were significantly enriched into three main functional categories, including biological process (BP), cellular component (CC), and molecular function (MF), which included 429, 104 and 250 subcategories, respectively (Table S3). In addition, many DEGs were enriched into 21 sex-related GO terms (Figure 3), such as germ cell development (GO:0007281), oocyte maturation (GO:0001556), transforming growth factor beta receptor binding (GO:0005160) and female gonad development (GO:0008585). The DEGs were significantly enriched into 16 signaling pathways via KEGG analysis (Table 4). The sex-related KEGG pathways were associated with gonad development, including the Fanconi anemia pathway (ko03460).

3.5. Validation of RNA-seq Results by qRT-PCR

To validate the transcriptomic data, a total of 23 genes were randomly used to validate the RNA-seq results (Figure 4). The results showed that the gene expression patterns of the two methods were consistent, indicating the specificity and accuracy of the transcriptome expression analysis.

4. Discussion

The Hong Kong catfish is an important freshwater economic fish in Southern China. The growth rates of male Hong Kong catfish are faster than of females, and the gonadal index of females is too high. The male Hong Kong catfish is more valuable than the female in the aquaculture industry. However, there is limited knowledge about the regulatory mechanisms of the reproductive process of Hong Kong catfish, such as sex determination, sex differentiation and gonadal development, affecting the development of the Hong Kong catfish monosex fish culture industry. Therefore, the identification of sex-biased genes and pathways of Hong Kong catfish can provide a theoretical basis for monosex fish culture. In this study, high-quality full-length transcriptome data were obtained from the gonadal tissue of Hong Kong catfish. A total of 290,291 CCSs were obtained, from which 248,408 FLNC reads were generated. After non-redundant analysis, a total of 37,305 unigenes were predicted, in which 34,342 unigenes were annotated with multiple public databases. Comparative transcriptomic analysis identified 5750 testis-biased genes and 6991 ovary-biased genes.
In this study, some of the sex-biased genes were significantly enriched in germ cell development (GO:0007281) GO terms, such as smad family member 5 (smad5), lin-28 homolog a (lin28) and staufen double-stranded RNA binding protein 1 (stau1). The smad5 and lin28 were highly expressed in females, while stau1 was highly expressed in males. In mouse embryos, the deletion of smad5 resulted in a significant decrease or complete deletion of primordial germ cells (PGCs), indicating that smad5 is an important factor involved in primordial germ cell generation in mice [40]. lin28 promotes the expression of the B lymphocyte induced maturation protein (blimp1) by inhibiting the maturation of microRNA let-7 to regulate the formation of PGCs [41,42]. The deletion of the stau1 protein in zebrafish (Danio rerio) can lead to abnormal migration of PGCs, indicating that stau1 plays an important role in the migration of PGCs [43]. smad5, lin28 and stau1 may play an important role in the formation and migration of primordial germ cells in Hong Kong catfish.
The female-biased genes were significantly enriched in female gonad development (GO:0008585) and oocyte maturation (GO:0001556) GO terms, such as lim homeobox 8 (lhx8), folliculogenesis specific BHLH transcription factor (figla) and bone morphogenetic protein 15 (bmp15). The deletion of lhx8 leads to the loss of oocytes in the ovaries and the infertility of female mice [44]. figla is an effective antagonistic factor, and its overexpression in male tilapia leads to the defection of spermatogenesis, which promotes the development of ovaries [45,46]. figla plays a key role in the early ovarian differentiation of zebrafish. In addition, the interaction between lhx8 and figla regulates the growth and differentiation of mouse oocytes [47]. In zebrafish with bmp15 knockout, gonads are normally developed at an early stage. In later stages, the gonad is reversed from the ovary to the testis and eventually developed into a fertile male. bmp15 regulates the normal development of female gonads and the maintenance of the female sex [48]. lhx8, figla and bmp15 may be involved in ovarian development and oocyte formation in Hong Kong catfish.
Sex determination and sex maintenance are dependent on steroid hormones [49,50], and steroid hormone production is regulated by cytochrome P450 (cyp) and hydroxysteroid dehydrogenase (hsd) [51,52]. In this study, the GO terms of steroid 17-alpha-monooxygenase activity (GO:0004508), 17-beta-hydroxysteroid dehydrogenase (NADP+) activity (GO:0072582) and androstan-3-alpha,17-beta-diol dehydrogenase activity (GO:0047044) were significantly enriched. Of these, cytochrome p450 family 17 subfamily A member 1 (cyp17a1), cytochrome p450 family 11 subfamily C member 1 (cyp11c1) and hydroxy-delta-5-steroid dehydrogenase, 3 beta- and steroid delta-isomerase 1 (hsd3b1) were highly expressed in males, while hydroxysteroid 17-beta dehydrogenase 1 (hsd17b1) and hydroxysteroid 17-beta dehydrogenase 2 (hsd17b2) were highly expressed in females. In zebrafish, serum testosterone and 11-ketotestosterone levels decreased significantly in cyp17a1 knockout individuals, which indicates that cyp17a1 is involved in androgen synthesis [53,54]. The 11 β-hydroxylase encoded by cyp11c1 is a key enzyme in the synthesis of 11-ketotestosterone and cortisol (the main androgen and glucocorticoid) in fish [55,56]. hsd3b1 catalyzes the conversion of pregnenolone to progesterone, 17 α-hydroxyprogesterone to 17 α-hydroxyprogesterone, dehydroepiandrosterone to 4-androstenedione and androstenediol to testosterone. hsd17b1 and hsd17b2 catalyze the conversion of low activity 17-ketosteroide, androstenedione and estrone to high activity 17-hydroxysteroids, testosterone and estradiol, respectively [57,58]. cyp17a1, cyp11c1, hsd3b1, hsd17b1 and hsd17b2 genes may be involved in the synthesis of gonadal sex hormones in Hong Kong catfish.
The transforming growth factor-β (TGF- β) signal pathway is a large family with many members. This signal pathway mediates the formation of tissues and organs and reproductive development, mainly by regulating the processes of cell growth, proliferation and differentiation [59,60,61,62]. Members of the TGF- β superfamily regulate the transcription of target genes by activating the downstream SMAD pathway [59,63]. The TGF- β signaling pathway is inextricably related to sex determination and sex differentiation of fish. In this study, SMAD protein signal transduction (GO:0060395) and transforming growth factor beta receptor binding (GO:0005160) GO terms were significantly enriched. Of these, transforming growth factor beta 3 (tgfβ3), transforming growth factor beta 2 (tgfβ2) and smad family member 3a (smad3a) were highly expressed in the testes. In contrast, bone morphogenetic protein 15 (bmp15), growth differentiation factor 9 (gdf9), bone morphogenetic protein 7a (bmp7a), bone morphogenetic protein 2 (bmp2), smad family member 2 (smad2) and smad5 were highly expressed in the ovaries. Tgf-β binds to its receptor and activates SMAD2/3 by phosphorylation, which mediates the effect of TGF-β/Activin/Nodal [46]. It is speculated that the high expression levels of tgfβ3 and tgfβ2 activate smad3a in the testes of Hong Kong catfish. In mouse testes, the deletion of the smad3 gene delayed the maturation of Sertoli cells and decreased the expression of androgen receptor and androgen-regulated transcripts [64]. smad3 can regulate the production of follicle-stimulating hormone (FSH) by gonadotropin cells in pituitary glands [65]. FSH binds to its receptor and activates Sertoli cells, participating in spermatogenesis and sperm maturation. Therefore, the high expression of smad3 in Hong Kong catfish may help to regulate androgen synthesis and spermatogenesis. Some studies have shown that gdf9 activates smad2, rather than tgf-β receptors in mouse granulosa cells [66]. Bmp binds to its receptor and activates smad1/5/8, to mediate the effect of BMP/GDF/AMH [61]. It is speculated that the high expression levels of bmp2 and bmp7a activate smad5, and the high expression of gdf9 activates smad2 in the ovaries of Hong Kong catfish. smad2 plays an important role in maintaining female fertility and mediating oocyte development [67,68]. smad2 deletion inhibits the maturation rate of oocytes [69]. smad5 is not only involved in the formation of PGCs, but is also essential in the process of mouse embryonic development [70]. It is speculated that the high expression levels of smad2 and smad5 in the ovaries of Hong Kong catfish may play an important role in oocyte maturation and development. In addition, bmp15 and gdf9 may regulate oocyte development through a potential paracrine signal pathway in gibel carp (Carassius auratus gibelio) [71]. High expression levels of bmp15 and gdf9 were found in the ovaries of Hong Kong catfish, which may be involved in oocyte development. In summary, TGF-β/SMAD pathway plays an important role in the primordial germ cell production, spermatogenesis and oogenesis of Hong Kong catfish.

5. Conclusions

This study was the first transcriptomic study of Hong Kong catfish, providing important information for enriching molecular genetic resources. Through the comparison of male and female Hong Kong catfish gonadal transcripts, many sex-biased genes were identified. Through enrichment analysis, several potential genes and pathways related to gonadal development and gametogenesis were screened. These findings will clarify the molecular mechanism of sex determination and gonadal differentiation and contribute to the functional analysis of sex-biased genes in the future.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/ani11041131/s1: Figure S1—homologous species distribution of unigenes annotated in the NR database. Figure S2—annotation of the GO function of the unigenes of Clarias fuscus. Figure S3—annotation of the KOG function of the unigenes of Clarias fuscus. Figure S4—annotation of the eggNOG function of the unigenes of Clarias fuscus. Table S1—quantitative real time PCR (qRT-PCR) primer sequences data. Table S2—differentially expressed genes between testes and ovaries. (|log2(fold change) > 1.0| and padj < 0.05). Table S3—Gene Ontology (GO) enrichment of differentially expressed genes between testes and ovaries.

Author Contributions

X.L., conceptualization, investigation and writing—original draft. D.Z., X.Z., Y.Z., G.L., C.H., and Z.Z., resources and funding acquisition. C.T., conceptualization, funding acquisition, project administration and writing—review and editing. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by the National Natural Science Foundation of China (Nos. 41706174 and 31702326); Guangdong Basic and Applied Basic Research Foundation (2019A1515110619, 2021A1515010733, 2017A030313101, 2018B030311050, 2019A1515010958); Independent Project of Guangdong Province Laboratory (ZJW-2019-06); Program for Scientific Research Start-up Funds of Guangdong Ocean University (R19026) and the second batch of Agricultural Science and Technology self-financing projects by the Guangxi Zhuang Autonomous Region (Z2019123).

Institutional Review Board Statement

This study was conducted according to the guidelines of the Declaration of Helsinki, and approved by the Animal Research and Ethics Committee of Guangdong Ocean University (NIH Pub. No.85–23, revised 1996).

Data Availability Statement

The raw data of full-length transcriptome have been submitted to the SRA under accession number SRR13823245. The raw data of Illumina transcriptome have been submitted to the SRA under accession number SRR1382323-SRR13823244 and SRR13823246- SRR13823249.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Dean, R.; Mank, J.E. The role of sex chromosomes in sexual dimorphism: Discordance between molecular and phenotypic data. J. Evol. Biol. 2014, 27, 1443–1453. [Google Scholar] [CrossRef] [PubMed]
  2. Chen, S.-L.; Li, J.; Deng, S.-P.; Tian, Y.-S.; Wang, Q.-Y.; Zhuang, Z.-M.; Sha, Z.-X.; Xu, J.-Y. Isolation of Female-Specific AFLP Markers and Molecular Identification of Genetic Sex in Half-Smooth Tongue Sole (Cynoglossus semilaevis). Mar. Biotechnol. 2007, 9, 273–280. [Google Scholar] [CrossRef]
  3. Beardmore, J.; Mair, G.; Lewis, R. Monosex male production in finfish as exemplified by tilapia: Applications, problems, and prospects. Aquaculture 2001, 197, 283–301. [Google Scholar] [CrossRef]
  4. Naylor, R.L.; Goldburg, R.J.; Primavera, J.H.; Kautsky, N.; Beveridge, M.C.M.; Clay, J.; Folke, C.; Lubchenco, J.; Mooney, H.; Troell, M. Effect of aquaculture on world fish supplies. Nat. Cell Biol. 2000, 405, 1017–1024. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Liu, H.; Guan, B.; Xu, J.; Hou, C.; Tian, H.; Chen, H. Genetic Manipulation of Sex Ratio for the Large-Scale Breeding of YY Super-Male and XY All-Male Yellow Catfish (Pelteobagrus fulvidraco (Richardson)). Mar. Biotechnol. 2012, 15, 321–328. [Google Scholar] [CrossRef]
  6. Ahmed, G.; Sultana, N.; Shamsuddin, M.; Hossain, M.B. Growth and Production Performance of Monosex Tilapia (Oreochromis niloticus) Fed with Homemade Feed in Earthen Mini Ponds. Pak. J. Biol. Sci. 2013, 16, 1781–1785. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  7. Pongthana, N.; Penman, D.J.; Baoprasertkul, P.; Hussain, M.G.; Islam, M.S.; Powell, S.F.; McAndrew, B.J. Monosex female production in the silver barb (Puntius gonionotus Bleeker). Aquaculture 1999, 173, 247–256. [Google Scholar] [CrossRef]
  8. Kikuchi, K.; Hamaguchi, S. Novel sex-determining genes in fish and sex chromosome evolution. Dev. Dyn. 2013, 242, 339–353. [Google Scholar] [CrossRef]
  9. Nagahama, Y. Molecular mechanisms of sex determination and gonadal sex differentiation in fish. Fish Physiol. Biochem. 2005, 31, 105–109. [Google Scholar] [CrossRef]
  10. Guiguen, Y.; Fostier, A.; Piferrer, F.; Chang, C.-F. Ovarian aromatase and estrogens: A pivotal role for gonadal sex differentiation and sex change in fish. Gen. Comp. Endocrinol. 2010, 165, 352–366. [Google Scholar] [CrossRef]
  11. Devlin, R.H.; Nagahama, Y. Sex determination and sex differentiation in fish: An overview of genetic, physiological, and environmental influences. Aquaculture 2002, 208, 191–364. [Google Scholar] [CrossRef]
  12. Young, M.J.A.; Fast, A.W. Temperature and photoperiod effects on ovarian maturation in the Chinese catfish (Clarias fuscus: Lacepede). J. Aquac. Trop. 1990, 5, 19–30. [Google Scholar]
  13. Szyper, J.P.; Tamaru, C.S.; Howerton, R.D.; Hopkins, K.D.; Fast, A.W.; Weidenbach, R.P. Maturation, Hatchery, and Nursery Techniques for Chinese Catfish, Clarias fuscus, in Hawaii. Aquac. Ext. Bull. 2001, 1–8. [Google Scholar]
  14. Deng, S.P.; Wang, J.J.; Wu, T.L.; Zhu, C.H.; Li, G.L. cDNA cloning and expression analysis of dmrt1 in Clarias fuscus. Acta Hydrobiol. Sin. 2012, 36, 610–617. [Google Scholar]
  15. Deng, S.P.; Zhu, C.H.; Sun, J.; Wang, W.D.; Wu, T.L.; Chen, H.P.; Shi, S.L.; Li, G.L. Foxl2 of the Hong Kong catfish (Clari-as fuscus): cDNA cloning, tissue distribution and changes in gene expression towards methyltestosterone, estradiol and letro-zole exposure of the fries during gonadal differentiation. Genes Genom. 2015, 37, 669–677. [Google Scholar] [CrossRef]
  16. Sun, J.; Li, G.; Zhu, C.; Wu, T.; Deng, S. Molecular cloning and expression of Cyp19a1b cDNA in Clarias fuscus. J. Fish. Sci. China 2012, 19, 408–415. [Google Scholar] [CrossRef]
  17. Martsikalis, P.V.; Gkafas, G.A.; Palaiokostas, C.; Exadactylos, A. Genomics era on breeding aquaculture stocks. In Organic Aquaculture: Impacts and Future Developments; Lembo, G., Mente, E., Eds.; Springer Nature: Cham, Switzerland, 2019; pp. 65–77. [Google Scholar] [CrossRef]
  18. Exadactylos, A.; Arvanitoyannis, I.S. Aquaculture Biotechnology for enhanced fish production for human consumption. In Microbial Biotechnology in Agriculture and Aquaculture; Ray, R.C., Ed.; Science Publishers Inc.: Enfield, NH, USA, 2006; pp. 453–510. [Google Scholar]
  19. Zhang, X.; Zhou, J.; Li, L.; Huang, W.; Ahmad, H.I.; Li, H.; Jiang, H.; Chen, J. Full-length transcriptome sequencing and comparative transcriptomic analysis to uncover genes involved in early gametogenesis in the gonads of Amur sturgeon (Acipenser schrenckii). Front. Zool. 2020, 17, 1–21. [Google Scholar] [CrossRef] [Green Version]
  20. Zeng, D.; Chen, X.; Peng, J.; Yang, C.; Peng, M.; Zhu, W.; Xie, D.; He, P.; Wei, P.; Lin, Y.; et al. Single-molecule long-read sequencing facilitates shrimp transcriptome research. Sci. Rep. 2018, 8, 16920. [Google Scholar] [CrossRef] [PubMed]
  21. Zhang, J.; Liu, C.; He, M.; Xiang, Z.; Yin, Y.; Liu, S.; Zhuang, Z. A full-length transcriptome of Sepia esculenta using a combination of single-molecule long-read (SMRT) and Illumina sequencing. Mar. Genom. 2019, 43, 54–57. [Google Scholar] [CrossRef]
  22. Melo, R.M.C.; Arantes, F.P.; Sato, Y.; Dos Santos, J.E.; Rizzo, E.; Bazzoli, N. Comparative morphology of the gonadal structure related to reproductive strategies in six species of neotropical catfishes (Teleostei: Siluriformes). J. Morphol. 2011, 272, 525–535. [Google Scholar] [CrossRef]
  23. Van Dyk, J.C.; Pieterse, G.M. A histo-morphological study of the testis of the sharptooth catfish (Clarias gariepinus) as reference for future toxicological assessments. J. Appl. Ichthyol. 2008, 24, 415–422. [Google Scholar] [CrossRef]
  24. Liu, S.Y. The Occurrence and Development of the Testis and the Sperm Characteristics of Silurus Asotus; Henan Normal University: Xinxiang, China, 2017. [Google Scholar]
  25. Li, W.; Godzik, A. Cd-hit: A fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 2006, 22, 1658–1659. [Google Scholar] [CrossRef] [Green Version]
  26. Dobin, A.; Davis, C.A.; Schlesinger, F.; Drenkow, J.; Zaleski, C.; Jha, S.; Batut, P.; Chaisson, M.; Gingeras, T.R. STAR: Ultrafast universal RNA-seq aligner. Bioinformatics 2013, 29, 15–21. [Google Scholar] [CrossRef]
  27. Marchler-Bauer, A.; Lu, S.; Anderson, J.B.; Chitsaz, F.; Derbyshire, M.K.; DeWeese-Scott, C.; Fong, J.H.; Geer, L.Y.; Geer, R.C.; Gonzales, N.R.; et al. CDD: A Conserved Domain Database for the functional annotation of proteins. Nucleic Acids Res. 2010, 39, D225–D229. [Google Scholar] [CrossRef] [Green Version]
  28. Ashburner, M.; Ball, C.A.; Blake, J.A.; Botstein, D.; Butler, H.; Cherry, J.M.; Davis, A.P.; Dolinski, K.; Dwight, S.S.; Eppig, J.T.; et al. Gene Ontology: Tool for the unification of biology. Nat. Genet. 2000, 25, 25–29. [Google Scholar] [CrossRef] [Green Version]
  29. Ogata, H.; Goto, S.; Sato, K.; Fujibuchi, W.; Bono, H.; Kanehisa, M. KEGG: Kyoto Encyclopedia of Genes and Genomes. Nucleic Acids Res. 1999, 27, 29–34. [Google Scholar] [CrossRef] [Green Version]
  30. Apweiler, R. UniProt: The Universal Protein knowledgebase. Nucleic Acids Res. 2004, 32, D115–D119. [Google Scholar] [CrossRef]
  31. Finn, R.D.; Bateman, A.; Clements, J.; Coggill, P.; Eberhardt, R.Y.; Eddy, S.R.; Heger, A.; Hetherington, K.; Holm, L.; Mistry, J.; et al. Pfam: The protein families database. Nucleic Acids Res. 2014, 42, D222–D230. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  32. Altschul, S.F.; Madden, T.L.; Schäffer, A.A.; Zhang, J.; Zhang, Z.; Miller, W.; Lipman, D.J. Gapped BLAST and PSI-BLAST: A new generation of protein database search programs. Nucleic Acids Res. 1997, 25, 3389–3402. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. Kong, L.; Zhang, Y.; Ye, Z.-Q.; Liu, X.-Q.; Zhao, S.-Q.; Wei, L.; Gao, G. CPC: Assess the protein-coding potential of transcripts using sequence features and support vector machine. Nucleic Acids Res. 2007, 35, W345–W349. [Google Scholar] [CrossRef] [PubMed]
  34. Wang, L.; Park, H.J.; Dasari, S.; Wang, S.; Kocher, J.-P.; Li, W. CPAT: Coding-Potential Assessment Tool using an alignment-free logistic regression model. Nucleic Acids Res. 2013, 41, e74. [Google Scholar] [CrossRef]
  35. Liao, Y.; Smyth, G.K.; Shi, W. featureCounts: An efficient general purpose program for assigning sequence reads to genomic features. Bioinformatics 2013, 30, 923–930. [Google Scholar] [CrossRef] [Green Version]
  36. Robinson, M.D.; McCarthy, D.J.; Smyth, G.K. edgeR: A Bioconductor package for differential expression analysis of digital gene expression data. Bioinformatics 2009, 26, 139–140. [Google Scholar] [CrossRef] [Green Version]
  37. Leng, N.; Dawson, J.A.; Thomson, J.A.; Ruotti, V.; Rissman, A.I.; Smits, B.M.G.; Haag, J.D.; Gould, M.N.; Stewart, R.M.; Kendziorski, C. EBSeq: An empirical Bayes hierarchical model for inference in RNA-seq experiments. Bioinformatics 2013, 29, 1035–1043. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Young, M.D.; Wakefield, M.J.; Smyth, G.K.; Oshlack, A. Goseq: Gene Ontology testing for RNA-seq datasets. Genome Biol. 2012, 11, R14. [Google Scholar] [CrossRef] [Green Version]
  39. Xie, C.; Mao, X.; Huang, J.; Ding, Y.; Wu, J.; Dong, S.; Kong, L.; Gao, G.; Li, C.-Y.; Wei, L. KOBAS 2.0: A web server for annotation and identification of enriched pathways and diseases. Nucleic Acids Res. 2011, 39, W316–W322. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  40. Chang, H.; Matzuk, M.M. Smad5 is required for mouse primordial germ cell development. Mech. Dev. 2001, 104, 61–67. [Google Scholar] [CrossRef]
  41. Cao, G.L.; Jiang, Y.L.; Chu, M.X. Progress on Lin28 in the Regulation of Mammal Reproduction. J. Agric. Biotechnol. 2019, 27, 534–541. [Google Scholar] [CrossRef]
  42. West, J.A.; Viswanathan, S.R.; Yabuuchi, A.; Cunniff, K.; Takeuchi, A.; Park, I.-H.; Sero, J.E.; Zhu, H.; Perez-Atayde, A.; Frazier, A.L.; et al. A role for Lin28 in primordial germ-cell development and germ-cell malignancy. Nature 2009, 460, 909–913. [Google Scholar] [CrossRef] [Green Version]
  43. Ramasamy, S.; Wang, H.; Quach, H.N.B.; Sampath, K. Zebrafish Staufen1 and Staufen2 are required for the survival and migration of primordial germ cells. Dev. Biol. 2006, 292, 393–406. [Google Scholar] [CrossRef] [Green Version]
  44. Choi, Y.; Ballow, D.J.; Xin, Y.; Rajkovic, A. Lim Homeobox Gene, Lhx8, Is Essential for Mouse Oocyte Differentiation and Survival1. Biol. Reprod. 2008, 79, 442–449. [Google Scholar] [CrossRef] [Green Version]
  45. Qiu, Y.; Sun, S.; Charkraborty, T.; Wu, L.; Sun, L.; Wei, J.; Nagahama, Y.; Wang, D.; Zhou, L. Figla Favors Ovarian Differentiation by Antagonizing Spermatogenesis in a Teleosts, Nile Tilapia (Oreochromis niloticus). PLoS ONE 2015, 10, e0123900. [Google Scholar] [CrossRef] [Green Version]
  46. Qin, M.; Zhang, Z.; Song, W.; Wong, Q.W.-L.; Chen, W.; Shirgaonkar, N.; Ge, W. Roles of Figla/figla in Juvenile Ovary Development and Follicle Formation During Zebrafish Gonadogenesis. Endocrinology 2018, 159, 3699–3722. [Google Scholar] [CrossRef] [Green Version]
  47. Fu, L.; Koganti, P.P.; Wang, J.; Wang, L.; Wang, C.-L.; Yao, J. Lhx8 interacts with a novel germ cell-specific nuclear factor containing an Nbl1 domain in rainbow trout (Oncorhynchus mykiss). PLoS ONE 2017, 12, e0170760. [Google Scholar] [CrossRef]
  48. Dranow, D.B.; Hu, K.; Bird, A.M.; Lawry, S.T.; Adams, M.T.; Sanchez, A.; Amatruda, J.F.; Draper, B.W. Bmp15 Is an Oocyte-Produced Signal Required for Maintenance of the Adult Female Sexual Phenotype in Zebrafish. PLoS Genet. 2016, 12, e1006323. [Google Scholar] [CrossRef] [PubMed]
  49. Senthilkumaran, B. Pesticide- and sex steroid analogue-induced endocrine disruption differentially targets hypothalamo–hypophyseal–gonadal system during gametogenesis in teleosts–A review. Gen. Comp. Endocrinol. 2015, 219, 136–142. [Google Scholar] [CrossRef]
  50. Gennotte, V.; Akonkwa, B.; Mélard, C.; Denoël, M.; Cornil, C.A.; Rougeot, C. Do sex reversal procedures differentially affect agonistic behaviors and sex steroid levels depending on the sexual genotype in Nile tilapia? J. Exp. Zool. Part A Ecol. Integr. Physiol. 2017, 327, 153–162. [Google Scholar] [CrossRef]
  51. Uno, T.; Ishizuka, M.; Itakura, T. Cytochrome P450 (CYP) in fish. Environ. Toxicol. Pharmacol. 2012, 34, 1–13. [Google Scholar] [CrossRef] [PubMed]
  52. Hilborn, E.; Stål, O.; Jansson, A. Estrogen and androgen-converting enzymes 17β-hydroxysteroid dehydrogenase and their involvement in cancer: With a special focus on 17β-hydroxysteroid dehydrogenase type 1, 2, and breast cancer. Oncotarget 2017, 8, 30552–30562. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  53. Zhai, G.; Shu, T.; Xia, Y.; Jin, X.; He, J.; Yin, Z. Androgen signaling regulates the transcription of anti-Müllerian hormone via synergy with SRY-related protein SOX9A. Sci. Bull. 2017, 62, 197–203. [Google Scholar] [CrossRef] [Green Version]
  54. Zhai, G.; Shu, T.; Xia, Y.; Lu, Y.; Shang, G.; Jin, X.; He, J.; Nie, P.; Yin, Z. Characterization of Sexual Trait Development in cyp17a1-Deficient Zebrafish. Endocrinology 2018, 159, 3549–3562. [Google Scholar] [CrossRef]
  55. Zhang, Q.; Ye, D.; Wang, H.; Wang, Y.; Hu, W.; Sun, Y. Zebrafish cyp11c1 Knockout Reveals the Roles of 11-ketotestosterone and Cortisol in Sexual Development and Reproduction. Endocrinology 2020, 161. [Google Scholar] [CrossRef]
  56. Zheng, Q.; Xiao, H.; Shi, H.; Wang, T.; Sun, L.; Tao, W.; Kocher, T.D.; Li, M.; Wang, D. Loss of Cyp11c1 causes delayed spermatogenesis due to the absence of 11-ketotestosterone. J. Endocrinol. 2020, 244, 487–499. [Google Scholar] [CrossRef]
  57. Puranen, T.; Poutanen, M.; Ghosh, D.; Vihko, P.; Vihko, R. Characterization of Structural and Functional Properties of Human 17?-Hydroxysteroid Dehydrogenase Type 1 Using Recombinant Enzymes and Site-Directed Mutagenesis. Mol. Endocrinol. 1997, 11, 77–86. [Google Scholar] [CrossRef] [PubMed]
  58. Sharp, T.V.; Xiao, Q.; Jeffrey, I.; Gewert, D.R.; Clemens, M.J. Reversal of the double-stranded-RNA-induced inhibition of protein synthesis by a catalytically inactive mutant of the protein kinase PKR. JBIC J. Biol. Inorg. Chem. 1993, 214, 945–948. [Google Scholar] [CrossRef]
  59. Massagué, J. TGFβ signalling in context. Nat. Rev. Mol. Cell Biol. 2012, 13, 616–630. [Google Scholar] [CrossRef] [PubMed]
  60. Monsivais, D.; Matzuk, M.M.; Pangas, S.A. The TGF-β Family in the Reproductive Tract. Cold Spring Harb. Perspect. Biol. 2017, 9, a022251. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  61. Moustakas, A.; Heldin, C.-H. The regulation of TGF signal transduction. Development 2009, 136, 3699–3714. [Google Scholar] [CrossRef] [Green Version]
  62. Mullen, A.C.; Wrana, J.L. TGF-β Family Signaling in Embryonic and Somatic Stem-Cell Renewal and Differentiation. Cold Spring Harb. Perspect. Biol. 2017, 9, a022186. [Google Scholar] [CrossRef]
  63. Attisano, L. Signal Transduction by the TGF-beta Superfamily. Science 2002, 296, 1646–1647. [Google Scholar] [CrossRef]
  64. Itman, C.; Wong, C.; Hunyadi, B.; Ernst, M.; Jans, D.A.; Loveland, K.L. Smad3 Dosage Determines Androgen Responsiveness and Sets the Pace of Postnatal Testis Development. Endocrinology 2011, 152, 2076–2089. [Google Scholar] [CrossRef] [Green Version]
  65. Li, Y.; Schang, G.; Boehm, U.; Deng, C.-X.; Graff, J.; Bernard, D.J. SMAD3 Regulates Follicle-stimulating Hormone Synthesis by Pituitary Gonadotrope Cells in Vivo. J. Biol. Chem. 2017, 292, 2301–2314. [Google Scholar] [CrossRef] [Green Version]
  66. Roh, J.-S.; Bondestam, J.; Mazerbourg, S.; Kaivo-Oja, N.; Groome, N.; Ritvos, O.; Hsueh, A.J.W. Growth Differentiation Factor-9 Stimulates Inhibin Production and Activates Smad2 in Cultured Rat Granulosa Cells. Endocrinology 2003, 144, 172–178. [Google Scholar] [CrossRef] [Green Version]
  67. Li, Q.; Pangas, S.A.; Jorgez, C.J.; Graff, J.M.; Weinstein, M.; Matzuk, M.M. Redundant Roles of SMAD2 and SMAD3 in Ovarian Granulosa Cells In Vivo. Mol. Cell. Biol. 2008, 28, 7001–7011. [Google Scholar] [CrossRef] [Green Version]
  68. Xu, J.; Oakley, J.; McGee, E.A. Stage-Specific Expression of Smad2 and Smad3 During Folliculogenesis1. Biol. Reprod. 2002, 66, 1571–1578. [Google Scholar] [CrossRef] [Green Version]
  69. Hardy, K.; Mora, J.M.; Dunlop, C.; Carzaniga, R.; Franks, S.; Fenwick, M.A. Nuclear exclusion of SMAD2/3 in granulosa cells is associated with primordial follicle activation in the mouse ovary. J. Cell Sci. 2018, 131, jcs218123. [Google Scholar] [CrossRef] [Green Version]
  70. Rodriguez, A.; Tripurani, S.K.; Burton, J.C.; Clementi, C.; Larina, I.; Pangas, S.A. SMAD Signaling Is Required for Structural Integrity of the Female Reproductive Tract and Uterine Function During Early Pregnancy in Mice. Biol. Reprod. 2016, 95, 44. [Google Scholar] [CrossRef]
  71. Liu, Z.W. Effects of GDF9 and BMP15 during the Developmental Process of Oocyte of Gibel Carp (Carassius Auratus Gibelio); Shanghai Ocean University: Shanghai, China, 2012. [Google Scholar]
Animals 11 01131 g001 550
Figure 1. (A) Venn diagram of long non-coding RNA (lncRNA) identified from four screening methods. (B) Summary of simple sequence repeats of gonad transcriptomes in Hong Kong catfish (Clarias fuscus).
Figure 1. (A) Venn diagram of long non-coding RNA (lncRNA) identified from four screening methods. (B) Summary of simple sequence repeats of gonad transcriptomes in Hong Kong catfish (Clarias fuscus).
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Animals 11 01131 g002 550
Figure 2. The number of differentially expressed genes (DEGs) and specific expressed genes (SEGs) in testes and ovaries.
Figure 2. The number of differentially expressed genes (DEGs) and specific expressed genes (SEGs) in testes and ovaries.
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Animals 11 01131 g003 550
Figure 3. The sex-related gene ontology (GO) terms of differentially expressed genes (DEGs) between testes and ovaries.
Figure 3. The sex-related gene ontology (GO) terms of differentially expressed genes (DEGs) between testes and ovaries.
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Animals 11 01131 g004 550
Figure 4. Comparison of expression levels for the 23 significantly-expressed genes (SEGs) using RNA sequencing (RNA-Seq) and a quantitative real-time polymerase chain reaction (qRT-PCR).
Figure 4. Comparison of expression levels for the 23 significantly-expressed genes (SEGs) using RNA sequencing (RNA-Seq) and a quantitative real-time polymerase chain reaction (qRT-PCR).
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Table
Table 1. Summary of full-length transcriptome sequencing of gonad transcriptomes in Hong Kong catfish (Clarias fuscus); CCS—circular consensus sequences; FLNC—full-length non-chimeric.
Table 1. Summary of full-length transcriptome sequencing of gonad transcriptomes in Hong Kong catfish (Clarias fuscus); CCS—circular consensus sequences; FLNC—full-length non-chimeric.
ItemFull-Length Transcriptome
Number of CCS290,291
Read bases of CCS727,649,017
Average read length of CCS2506
Number of FLNC reads248,408
Number of consensus isoforms69,148
Number of high-quality isoforms66,958
Number of unigenes37,305
Table
Table 2. Summary of the Illumina sequencing of gonad transcriptomes in Hong Kong catfish (Clarias fuscus).
Table 2. Summary of the Illumina sequencing of gonad transcriptomes in Hong Kong catfish (Clarias fuscus).
GroupClean Read NumberClean Base NumberQ30 (%)Q20 (%)GC Content (%)Mapping Rate (%)
Female123,589,4097,063,060,76295.0298.2750.1188.30
Female226,686,4217,990,222,86895.0198.2849.9787.40
Female323,801,1647,125,984,84495.1598.3449.9488.13
Male121,172,6266,329,873,38294.3697.8248.5974.74
Male225,166,7437,532,229,63694.2997.8248.5475.58
Male324,181,2677,231,220,52694.6697.9748.1474.17
Table
Table 3. Functional annotation of unigenes from Hong Kong catfish (Clarias fuscus) full-length transcriptome; GO—Gene Ontology; KEGG—Kyoto Encyclopedia of Gene and Genome; KOG— EuKaryotic Orthologous Groups; eggNOG—Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups; NR—National Center for Biotechnology Information (NCBI) Refseq.
Table 3. Functional annotation of unigenes from Hong Kong catfish (Clarias fuscus) full-length transcriptome; GO—Gene Ontology; KEGG—Kyoto Encyclopedia of Gene and Genome; KOG— EuKaryotic Orthologous Groups; eggNOG—Evolutionary Genealogy of Genes: Non-supervised Orthologous Groups; NR—National Center for Biotechnology Information (NCBI) Refseq.
Annotation DatabaseNumber of Unigenes
GO annotation26,710
KEGG annotation22,010
KOG annotation25,866
Pfam annotation29,797
Swissprot annotation34,144
eggNOG annotation33,442
NR annotation34,221
All annotated34,342
Table
Table 4. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment of differentially expressed genes (DEGs) between testes and ovaries.
Table 4. The Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment of differentially expressed genes (DEGs) between testes and ovaries.
Pathway IDPathway Termp-Value
ko03010Ribosome1.20 × 10−14
ko03460Fanconi anemia pathway0.001289
ko00061Fatty acid biosynthesis0.002237
ko04110Cell cycle0.002476
ko04512ECM-receptor interaction0.003232
ko00900Terpenoid backbone biosynthesis0.004637
ko03030DNA replication0.008156
ko00062Fatty acid elongation0.008802
ko00230Purine metabolism0.010252
ko00130Ubiquinone and other terpenoid-quinone biosynthesis0.010259
ko01212Fatty acid metabolism0.014225
ko00670One carbon pool by folate0.018081
ko00604Glycosphingolipid biosynthesis—ganglio series0.027686
ko00910Nitrogen metabolism0.030108
ko04270Vascular smooth muscle contraction0.044731
ko00600Sphingolipid metabolism0.049852
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Lin, X.; Zhou, D.; Zhang, X.; Li, G.; Zhang, Y.; Huang, C.; Zhang, Z.; Tian, C. A First Insight into the Gonad Transcriptome of Hong Kong Catfish (Clarias fuscus). Animals 2021, 11, 1131. https://doi.org/10.3390/ani11041131

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Lin X, Zhou D, Zhang X, Li G, Zhang Y, Huang C, Zhang Z, Tian C. A First Insight into the Gonad Transcriptome of Hong Kong Catfish (Clarias fuscus). Animals. 2021; 11(4):1131. https://doi.org/10.3390/ani11041131

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Lin, Xinghua, Dayan Zhou, Xiaomin Zhang, Guangli Li, Yulei Zhang, Cailin Huang, Zhixin Zhang, and Changxu Tian. 2021. "A First Insight into the Gonad Transcriptome of Hong Kong Catfish (Clarias fuscus)" Animals 11, no. 4: 1131. https://doi.org/10.3390/ani11041131

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Lin, X., Zhou, D., Zhang, X., Li, G., Zhang, Y., Huang, C., Zhang, Z., & Tian, C. (2021). A First Insight into the Gonad Transcriptome of Hong Kong Catfish (Clarias fuscus). Animals, 11(4), 1131. https://doi.org/10.3390/ani11041131

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