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Direct RNA Sequencing Reveals Sex-Biased Transcriptomic and Epitranscriptomic Regulation in Procambarus clarkii

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29 October 2025

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31 October 2025

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Abstract

The red swamp crayfish (Procambarus clarkii) is a globally important freshwater crustacean that exhibits pronounced sexual dimorphism, with males growing faster than females. However, the molecular mechanisms underlying sex differentiation in crustaceans remain poorly understood. In this study, Oxford Nanopore-based Direct RNA Sequencing (DRS) was employed to analyze the gonadal transcriptomes of male and female P. clarkii, identifying 20,001 previously unannotated genes and revealing extensive sex-specific differences in transcript structure, alternative splicing, and RNA modifications. Ovarian transcripts had shorter polyA tails and more frequent alternative splicing, while male gonads showed greater enrichment of m6A and psU modifications in 3' UTR regions. qPCR validation confirmed the sex-biased expression of key candidate genes, including Dmrt7, FR, Fruitless, IAGBP, RDH, and Vtg. Collectively, these findings provide the first comprehensive epitranscriptomic landscape of P. clarkii gonads, underscoring the pivotal role of post-transcriptional regulation in sex determination and offering valuable insights for mono-sex breeding strategies in aquaculture.

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1. Introduction

Procambarus clarkii, also known as red swamp crayfish, has become one of the most commercially important freshwater crustaceans worldwide, particularly in China. Its strong adaptability, rapid growth rate, and distinctive flavor have driven the establishment of a complete industrial chain encompassing large-scale aquaculture, deep processing, and a substantial catering and consumption. By 2024, the national output value of P. clarkii in China exceeded 500 billion RMB, creating millions of jobs and embedding the species deeply in national food culture [1]. Despite this remarkable growth, the industry faces pressing challenges, among which sexual dimorphism is particularly significant. Although male individuals typically achieve larger body sizes, their higher proportion of cephalothorax and claw mass reduces edible muscle yield, resulting in greater market value for females[2]. This growth disparity directly influences aquaculture profitability and amplifies demand for female-biased breeding production.
Mono-sex farming strategies have already demonstrated substantial industrial value across aquaculture. For instance, all-male populations of Pelteobagrus fulvidraco and Oreochromis niloticus increase production by 30–50% [3,4,5,6]. In the crustacean species Macrobrachium rosenbergii, single-sex breeding offers dual advantages: all-male populations benefit from the greater growth potential of males, enabling the production of super-large-sized commercial prawn and significantly increasing market value[6,7]; all-female populations, on the other hand, exhibit more uniform individual sizes and minimal cannibalism, resulting in a 20% to 30% increase in unit yield[5,8]. These studies underscore that sex-specific breeding strategies, tailored to species’ biological characteristics, represent a key pathway to improved farming efficiency.
Elucidating the molecular mechanisms of sex differentiation is therefore critical for advancing mono-sex aquaculture. In crustaceans, the insulin-like androgenic gland hormone (IAG) has received the most attention. Functional disruption of IAG induces male-to-female sex reversal in M. rosenbergii[7], Exopalaemon carinicauda[9], and M. nipponense(Cai et al., 2023) . However, similar manipulations in P. clarkii and Penaeus vannamei failed to alter sexual phenotype (Shi et al., 2019; Ge et al., 2020; Xu et al., 2022). These contrasting outcomes suggest that sex regulation in P. clarkii involves additional or alternative pathways beyond the IAG axis (Ge et al., 2020; Shi et al., 2019). Although Crustacea and Insecta both belong to the phylum Arthropoda and share a close evolutionary relationship, research on their sex-determination mechanisms has progressed very differently. In insects such as Drosophila melanogaster and Bombyx mori, sex differentiation is governed by highly conserved post-transcriptional cascades of alternative splicing, exemplified by the regulatory roles of Sxl and Tra [11]. Homologs of these sex-regulating genes have been identified in crustaceans, but there functional involvement in sex determination remains uncertain. Importantly, recent studies indicate that post-transcriptional regulation may indeed contribute to crustacean sexual differentiation: in the branchiopod Daphnia magna, sex-specific alternative splicing of Dsx1 underlies environmental sex determination [12,13], and full-length transcriptome sequencing of decapod gonads has revealed widespread isoform diversity and sex-biased splicing events. These findings suggest that alternative splicing has a role in crustacean sex regulation, though the precise cascades analogous to those in insects remain unidentified.
This gap in understanding is largely attributed to the limitations of traditional sequencing technologies, which are insufficient for accurately resolving gene splice isoforms. With recent advances in sequencing technologies, third-generation platforms such as Oxford Nanopore Technologies (ONT) now enable unbiased full-length transcriptome profiling. In particular, direct RNA sequencing (DRS) allows not only precise identification of transcript isoforms but also simultaneous detection of RNA modifications, thereby offering a powerful tool for investigating post-transcriptional regulatory mechanisms during specific physiological processes.
This study aims to apply DRS-based third-generation sequencing to systematically characterize sex-related differences in transcript structure, alternative splicing, and RNA modification between male and female P. clarkii, aiming to uncover the potential roles of post-transcriptional and epitranscriptomic mechanism underlying sex differentiation in this species.

2. Materials and Methods

2.1. P. clarkii Sample Collection

The crayfish used in this study belonged to the breeding strain of Yancheng Institute of Technology and were originally sourced from Yancheng City, Jiangsu Province. Prior to sampling, P. clarkii specimens were anesthetized on ice. Subsequently, six male reproductive systems and six ovaries (Fig 1A) were dissected and pooled separately into four 1.5 ml tubes, labeled as male reproductive system 1 and 2, and ovary 1 and 2, respectively. Organ samples for qRT-PCR analysis were collected from three additional female and three additional male individuals.

2.2. Total RNA Extraction and mRNA Enrichment

Total RNA was extracted using the Total RNA Kit (R6827 Plant RNA Kit/R6814 Blood RNA Kit/R6834 Total RNA Kit I) following the manufacturers instruction. RNA concentration and purity were assessed using a NanoDrop spectrophotometer (Thermo Fisher Scientific), and integrity was verified by agarose gel electrophoresis. One microgram of RNA per sample was quantified for quality control, and 20 µg of high-quality RNA was used for direct RNA sequencing. mRNA enrichment was performed using the NEBNext Poly(A) mRNA Magnetic Isolation Module (E7490S) according to the manufacturer's instructions.

2.3. Nanopore Sequencing Library Construction and Sequencing

Prepared mRNA was used for DRS library construction following the Oxford Nanopore DRS protocol (SQK-RNA004, Oxford Nanopore Technologies). For reverse transcription adapter ligation, 9 μL of prepared mRNA was mixed with 3 μL NEBNext Quick Ligation Reaction Buffer (NEB), 1 μL RT Adapter (RTA) (SQK-RNA004), and 2 μL T4 DNA Ligase (NEB), then incubated at 24°C for 10 min. Subsequently, 8 μL 5× first-strand buffer (NEB), 2 μL 10 mM dNTPs (NEB), 9 μL nuclease-free water, 4 μL 0.1 M DTT (Thermo Fisher), and 2 μL SuperScript III Reverse Transcriptase (Thermo Fisher Scientific, 18080044) were added to the 15 μL reaction system. The mixture was incubated at 50°C for 50 min followed by 70°C for 10 min. Reverse-transcribed mRNA was purified with 1.8× volume of Agencourt RNAClean XP beads and eluted in 23 μL nuclease-free water. Then, 8 μL NEBNext Quick Ligation Reaction Buffer, 6 μL RNA Adapter (RLA), and 3 μL T4 DNA Ligase were added for sequencing adapter ligation (24°C, 10 min). The product was purified as above and eluted in 32 μL RNA Elution Buffer (SQK-RNA004). 100 μL SB (SQK-RNA004) and 68 μL LIS were added to the eluate. The final mixture was loaded onto a Nanopore FLO-PRO004RA flow cell and sequenced for 48-72 hours using a PromethION sequencer (Oxford Nanopore Technologies). This experiment was completed by Wuhan Benagen Technology Co.

2.4. Preprocessing, Alignment, and Novel Gene/Transcript Analysis

Raw reads were basecalled using Dorado (version: latest; parameters: --estimate-poly-a) to assess read quality. Low-quality reads (Q < 10) were filtered during basecalling. Clean reads from each library were aligned to the XX genome using Minimap2 (v2.17-r941). Alignment rates to reference genes were calculated using Samtools (v1.10). Consensus sequences were obtained from alignment results using Flair (v1.5.0; parameters: -t 20). Non-redundant transcript sequences were assembled using StringTie (v2.1.4; parameters: --conservative -L -R). Transcripts were compared to known genomic transcripts using gffcompare (v0.12.1; parameters: -R -C -K -M) to identify novel transcripts and genes. For comprehensive functional annotation of novel transcripts, sequences were annotated against 7 databases (NR, Pfam, UniProt, KEGG, GO, KOG/COG, PATHWAY) based on sequence and motif similarity.

2.5. Transcript Structure Analysis

Transcript boundaries were corrected by extending untranslated regions (UTRs) beyond annotated regions where supported by sequencing evidence. Alternative splicing (AS) events per sample were identified using Suppa2 (https://github.com/comprna/SUPPA; parameters: --boundary S -f ioe -e SE SS MX RI FL), with differential AS between groups detected via suppa2 (DiffSplice). Fusion transcripts were identified using FusionSeeker. Coding potential of newly identified transcripts was predicted using CNCI (v2.0; default parameters), CPC2 (standalone_python3 v1.0.1), and PLEK.

2.6. Isoform Poly(A) Length Analysis

Aligning reads were process to extract alignment end position from BAM files. Poly(A) sites were identified, clustered, and annotated using Quantifypoly(A). Differences in Poly(A) tail lengths were calculated from valid data using Dorado (parameters: --estimate-poly-a). Mann-Whitney U tests were performed to assess poly(A) length differences at both global and transcriptome levels between groups. |Diff_Median| (difference in median poly(A) lengths) indicated effect size/direction, and FDR (false discovery rate) determined significance. Transcripts with FDR < 0.05 and |Diff_median| > 15 were considered differentially polyadenylated.

2.7. RNA Methylation Analysis

Modified sites (m6A/psu/m5c/inosine) were detected using Dorado's latest model (rna004_130bps_sup@v5.1.0). Differential methylation loci (DML) and transcript analyses were performed using modkit (v0.4.1). Differential methylation was tested by logistic regression, applicable even for single-sample groups.
The subsequent quantification of cDNA products was performed as described previously (Xu et al., 2025). The primers for target gene qRT-PCR are provided in Supplementary Table S1.

2.8. Statistical Analysis

All the experimental data from at least three independent experiments were analyzed using GraphPad Prism 7.0 software (San Diego, CA, United States) and were presented as mean ± SD.

3. Results

3.1. Statistics of DRS Data of the Gonads of P. clarkii

To assess the sequencing quality of DRS, the main sequencing indicators for male and female gonadal samples of Procambarus clarkii, including sequencing data volume (Seq Num), average length (Mean length, bp), N50 (bp), maximum transcript length (Max length, bp), and mapping rate (Map rate) were summarized in Table 1. Across all samples, the effective sequencing yield per group was approximately 6.5 GB (Table S2). On average, male gonadal samples produced ~10 million reads per group, whereas female ovarian samples generated ~6,500 reads per group (Table S2). The number of transcripts detected in the male reproductive system was 28,225 and 29,386 respectively, significantly higher than the 22,276 and 23,583 in the female ovary. In contrast, the average length of transcripts in the female ovary was approximately 1,350 bp, longer than the approximately 1,200 bp in the male gonad; the longest transcript lengths detected in the ovary were 13,785 and 13,785 bp respectively, also significantly longer than the approximately 10,000 bp in the male reproductive system. The overall quality of this DRS sequencing was good, with an N50 value of approximately 2,500 bp, and the genome mapping rate of all samples exceeded 90%.
Annotation analysis of the transcripts obtained from this sequencing in the Nr database revealed that the top five species with the highest sequence similarity are all crustaceans, collectively accounting for 96.79% of all annotated data. Notably, 85.55% of the transcripts were specifically annotated to P. clarkii (Figure 1b). A total of 48,723 genes were identified, corresponding to 50,134 transcript sequences. Among these, 28,722 genes were previously annotated, each producing a single transcript, whereas the remaining 20,001 genes generated 21,412 transcripts, potentially representing novel genes or genes with multiple isoforms. To further classify the newly identified transcripts, gffcompare software was used to compare the assembled transcripts with the reference genome annotations, thereby identifying and expanding the transcriptomic landscape. This analysis identified seven novel transcript types (I, J, K, M, N, U, and X), totaling 201,412 transcripts. Among them, U-type transcripts were most abundant, with 173,350 entries, highlighting the substantial incompleteness of the current P. clarkii transcript annotation and need for further refinement.

3.2. Differential Gene Expression Analysis Between Gonads

Although only two technical replicates were set up for this DRS sequencing, replicate consistency was high, with correlation coefficients exceeding 0.99 for both ovarian and testicular samples. Transcript expression intensity was markedly higher in ovary compared with testis (Figure 2b), likely reflecting the accumulation of maternal transcripts required to support early embryonic development.
Compared with the ovary, 8,003 genes were significantly up-regulated and 11,299 genes were significantly down-regulated in the male reproductive system (Figure 2c). KEGG pathway enrichment analysis of differentially expressed genes showed that the top 20 significantly enriched signaling pathways included endocytosis, FoxO signaling pathway, fatty acid metabolism, etc. These pathways showed pronounced sex-specific expression differences and are likely involved in the regulation of gonadal physiology and the maintenance of gender-specific functions.

3.3. Structure Analysis of P. clarkii Genders

Transcripts from female and male gonads exhibited significant differences in polyA tail length, with ovarian transcripts displaying substantially shorter polyA tails compared to those from the male reproductive system (Figure 3a). This pattern suggests that maternal mRNA stored in oocytes of P. clarkii ovaries possesses extended polyA tail structures, whereas transcripts in the male reproductive system retain polyA tails of typical length (Figure 3a). To investigate the functional implications of these differences, KEGG pathway enrichment analysis was conducted on transcripts with variable polyA tail lengths. The results revealed significant enrichment in pathways associated with cellular processes, genetic material processing, and metabolic regulation. Notably, pathways related to genetic material metabolism showed the highest number of enriched terms, which aligns closely with the biological process of maternal mRNA accumulation and storage in developing oocytes (Figure 3b).
In the DRS analysis of male and female P. clarkii, a total of 1,277 genes displayed distinct splicing patterns, primarily comprising two major categories: 1,181 genes with two distinct splicing isoforms and 74 genes involved in alternative splicing events (Figure 3c). Among the differentially expressed transcripts in male and female gonads, 309 genes were identified as undergoing differential splicing, encompassing 675 transcript variants (Table S2). Furthermore, we analyzed the types of alternative splicing present in each sample and quantified the corresponding transcript counts. As illustrated in Figure 3d, significant differences were observed in the distribution of specific alternative splicing events—such as alternative 5' splice sites (A5), intron retention (RI), and exon skipping (SE)—between the ovaries and the male reproductive system. Notably, the ovaries exhibited a markedly higher number of alternative splicing events compared to the male reproductive system.

3.4. RNA Modification Analysis of P. clarkii Gonads

Based on the reference genome, functional annotations of m6A and psU modifications was performed within gene coding regions. The distribution of m6A sites (i.e., the methylation annotation ratio) showed that in the male reproductive system, modification sites were predominantly enriched in the 3' UTR region (Figure 4a), whereas in the ovary, a considerable proportion were also present (Figure 4b). Similarly, the proportion analysis of psU modifications sites in males was mainly concentrated in the 3' UTR (Figure 4c), while in the ovary, the psU modifications were more evenly distributed across the 5' UTR and 3' UTR regions (Figure 4d). Additionally, the analysis of the base sequence characteristics before and after m6A and psU modifications revealed that the second base of the m6A methylation sites exhibited different sequence preferences in the male reproductive system and ovarian tissues, while the base sequence characteristics upstream and downstream of the psU modification sites remained consistent in both tissues without significant changes.

3.5. Verification of Potential Sex-Related Genes

To identify potential genes associated with gonadal differentiation and development in P. clarkii, we selected Fruitless, retinol dehydrogenase (RDH), and folate receptor (FR) as candidate genes related to female differentiation, and vitellogenin (Vtg) as a key gene involved in ovarian development. These selections were based on transcriptomic analysis of sex-biased expression and supported by previous studies in crustaceans. All of these genes exhibited ovarian-preferential expression in the transcriptomic data. For male related genes, Dmrt7 (the homolog of the iDMY gene in Sagmariasus verreauxi) and IAGBP were identified as potential regulator of male differentiation-related genes. Although these genes are not exclusively expressed in the reproductive system, qPCR validation confirmed their preferential expression in the male reproductive system. In contrast, Fem1b and Fem1c, which showed no significant differential expression between sexes in either the transcriptome or qPCR assays, indicating that they are unlikely to play roles in sex determination or differentiation in P. clarkii.
Figure 5. qPCR verification of sex-related genes. (A-D) Fruitless, RDH, FR, Vtg are termed female-biased genes. (E) Vasa is termed a gonad-characterizing gene. (F, I) Dmrt7 and IAGBP are termed male-biased genes.
Figure 5. qPCR verification of sex-related genes. (A-D) Fruitless, RDH, FR, Vtg are termed female-biased genes. (E) Vasa is termed a gonad-characterizing gene. (F, I) Dmrt7 and IAGBP are termed male-biased genes.
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4. Discussion

Procambarus clarkii, as a globally important freshwater economic species, has experienced rapid industrial growth in China and worldwide, forming a complete production chain covering breeding, processing and consumption, with an annual output value of hundreds of billions of yuan [1]. This development has promoted regional economies and generated substantial employment. However, the sustainable growth of this industry is still constrained by insufficient fundamental biological knowledge, particularly regarding its pronounced sexual dimorphism. While the traditional view emphasize the larger body size and faster growth of males, recent studies demonstrate that female offer unique advantages including higher meat yield, greater body-size uniformity, and better suitability for processing traits that better align with the requirements of intensive aquaculture and standardized production[15]. Despite this, the molecular mechanism of sex differentiation in crustaceans remain poorly understood.
Currently, sex control strategies in decapods have primarily focused on the insulin-like androgenic gland hormone (IAG). Functional disruption of IAG has successfully induced male-to-female sex reversal in Macrobrachium rosenbergii and other palaemonid prawns [7,9,10]. However, similar manipulations have not yielded effective results in P. clarkii or P. vannamei (Ge et al., 2020; Shi et al., 2019; H. J. Xu et al., 2022), underscoring the diversity of sex-determination mechanisms across crustaceans. Although a comparative study on the gonadal transcriptome of P. clarkii was conducted in 2014 [16], progress was limited by the sequencing technologies available at the time and the absence of a reference genome, which only became available in 2021[17,18]. In this study, Direct RNA Sequencing (DRS) technology was employed to systematically analyzed transcript composition, alternative splicing patterns and RNA methylation modification in male and female gonads of P. clarkii. This work not only identified 20,001 novel genes, substantially expanding transcriptome annotation, but also revealed sex-specific splicing events and differences in RNA modifications, providing the first evidence of epitranscriptomic regulation in crayfish gonads. These findings provide a key data foundation for in-depth analysis of its sex determination mechanism and have significant theoretical value and application prospects for promoting the development of sex control breeding technology in P. clarkii.
Mechanisms of sex determination in invertebrates are highly diverse and differ markedly from vertebrates. In vertebrates, the differentiation of female and male gonads is primarily governed by the antagonistic interaction between estrogen and androgen [19]. In contrast, no regulatory system dominated by sex steroid hormones similar to that in vertebrates has been identified in invertebrates, and their sex determination mechanisms exhibit considerable complexity and diversity. For example, in Diptera species such as D. melanogaster, sexual differentiation is initiated by the alternative splicing of the sxl gene [11,20]. In contrast, in Lepidoptera species like Bombyx mori, which are also arthropods, sex determination is predominantly regulated by the interaction between the Masc gene and fem piRNA [21]. Overall, in most species within the class Insecta, alternative splicing of sex-related genes plays a crucial role in sex determination [22]. In Daphnia magna, sex determination involves sex-specific splicing of Dsx1 isoforms, providing direct evidence of splicing-mediated sex regulation in crustaceans[13]. Our DRS results revealed extensive isoform diversity and sex-biased splicing events, particularly in ovaries (Table S2; Figure 3), reinforcing the hypothesis that alternative splicing contributes to gonadal differentiation in P. clarkii. Notablly, Among the differentially expressed transcripts in male and female gonads, 309 genes were identified as undergoing differential splicing, encompassing 675 transcript variants . Among the differentially expressed genes, 675 transcripts derived from 309 genes exhibited differential expression in female and male gonads, with 75 splicing isoforms encoded by 36 genes showing opposing expression patterns between the sexes (Table S2).
Epigenetic regulation and genetic programs act in concert to determine the differentiation trajectory of gonads in both vertebrates and invertebrates [19,23]. RNA methylation, such as m6A, serves as a critical post-transcriptional epigenetic regulatory mechanism and has been extensively demonstrated to precisely modulate RNA alternative splicing [24,25], stability [26], and translation efficiency [27]. Studies have revealed that m6A modification in female neurons of D. melanogaster determines sexual fate by regulating the alternative splicing of the Sxl gene [11,20]. This function relies on the coordinated activity of methyltransferase complexes (Mettl3) and reader proteins (YTHDC1), and can be finely tuned by factors such as Nab2 through the inhibition of m6A deposition [28,29]. In this study, using Direct RNA Sequencing (DRS), we identified a set of candidate genes associated with sex differentiation that exhibit sexually dimorphic m6A methylation (Table S3) and psU modification patterns (Table S4). These findings provide novel insights into the epitranscriptomic regulatory mechanisms underlying sex determination in P. clarkii. Poly(A) tail length is another post-transcriptional regulatory layer with important developmental implications. In our study, ovarian transcripts displayed significantly shorter poly(A) tails compared with testes, consistent with the role of polyadenylation in maternal mRNA storage during oocyte maturation and early embryogenesis [30]. This observation suggests that post-transcriptional control of transcript stability and translation timing is a key feature of ovarian physiology in P. clarkii.
To verify candidate sex-related genes, qPCR analysis confirmed that Fruitless, RDH, FR, and Vtg exhibited ovarian-preferential expression, consistent with transcriptome data and supporting their roles in female gonadal development. Conversely, Dmrt7 (a homolog of iDMY in Cherax quadricarinatus) [31]) and IAGBP displayed male-biased expression, suggesting roles in testis differentiation. However, in agreement with the transcriptome data, Fem1b and Fem1c did not exhibit significant sex-biased expression in the qPCR analysis, suggesting that their involvement in sex determination in crayfish may follow a mechanism distinct from the fem gene-mediated sex regulation pathway observed in insects. These experimentally validated genes represent high-priority candidates for future functional studies, including gene knockdown or overexpression experiments.

5. Conclusions

This study employed Oxford Nanopore Direct RNA Sequencing to systematically characterize the sex-biased transcriptomic and epitranscriptomic landscapes in the gonads of the red swamp crayfish, Procambarus clarkii. Significant differences were observed between males and females: ovarian transcripts exhibited shorter polyA tails and more frequent alternative splicing events, whereas testicular transcripts showed distinct enrichment of m6A and psU modifications in their 3' UTR regions. qPCR validation confirmed the sex-biased expression of key candidate genes involved in gonadal differentiation. These findings present the first comprehensive epitranscriptomic profile of P. clarkii, highlighting the critical role of post-transcriptional regulation in sex determination and providing a robust molecular foundation for the development of mono-sex breeding strategies in crustacean aquaculture.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org. Table S1: The number of sequencing reads of different samples. Table S2: Differentially expressed isoforms in gonads. Table S3: Primers used for RT-qPCR.

Author Contributions

H.-J. Xu G.-T. Song were responsible for performing experiments, writing original draft preparation of the manuscript. Y.-C. Luo was responsible for sample collection and animal feeding. H.-X. Zhang conducted the data curation, formal analysis. M. Jawad was responsible for writing the language and revised the manuscript. W. Zhang, T. Li, and D.-W. Zhao were responsible for the animals provided and funding support. C.-Y. Yang was responsible for improving and advancing the project. M-Y Li led the funding acquisition, supervision, edited and revised the manuscript. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by The Research on Key Technologies for the Breeding of All-Female Red Swamp Crayfish(2024320908000409).

Institutional Review Board Statement

This study was conducted in accordance with the guidelines of the Declaration of Helsinki and was approved by the Animal Care and Use Committee of the Shanghai Ocean University under approval number SHOU-2023-031.

Informed Consent Statement

Not applicable.

Data Availability Statement

Data contained within the article. The raw data of this work was uploaded to NGDC (https://ngdc.cncb.ac.cn) with BioProject number PRJCA049565.

Acknowledgments

In this section, you can acknowledge any support given which is not covered by the author contribution or funding sections. This may include administrative and technical support, or donations in kind (e.g., materials used for experiments).

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results.

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Figure 1. Statistics of direct RNA sequencing data of from P. clarkii gonads. (A) External sexual characteristics and anatomical structures of the male and female reproductive system. (B) Species distribution of transcript annotations in the NR database. (C) Length distribution of coding sequences (CDS) in newly identified transcripts, with the red dotted line representing the N50 length. (D) Transcript and gene counts in the transcriptome. (E) The number of 7 new transcripts types. (F) The structure of 7 new transcripts types.
Figure 1. Statistics of direct RNA sequencing data of from P. clarkii gonads. (A) External sexual characteristics and anatomical structures of the male and female reproductive system. (B) Species distribution of transcript annotations in the NR database. (C) Length distribution of coding sequences (CDS) in newly identified transcripts, with the red dotted line representing the N50 length. (D) Transcript and gene counts in the transcriptome. (E) The number of 7 new transcripts types. (F) The structure of 7 new transcripts types.
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Figure 2. Comparative analysis of DRS transcript profiles in female and male Gonads. (A) The correlation analysis on the different samples. (B) Comparative analysis of global transcriptomic expression levels in male and female gonads of P. clarkii. (C) Heatmap representation of clustering analysis for differentially expressed transcripts. (D) KEGG enrichment analysis of differentially expressed transcripts in male and female gonads.
Figure 2. Comparative analysis of DRS transcript profiles in female and male Gonads. (A) The correlation analysis on the different samples. (B) Comparative analysis of global transcriptomic expression levels in male and female gonads of P. clarkii. (C) Heatmap representation of clustering analysis for differentially expressed transcripts. (D) KEGG enrichment analysis of differentially expressed transcripts in male and female gonads.
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Figure 3. Comparative analysis of transcriptomic structural variations in male and female gonads of P. clarkii. (A) Distribution of Poly(A) tail lengths in male and female gonads of P. clarkii. (B) KEGG enrichment analysis of differentially transcripts with different Poly(A) tail lengths in male and female gonads. (C) Statistical analysis of the number of transcripts contained in different genes. (D) The number of alternative splice sites of male and females gonads.
Figure 3. Comparative analysis of transcriptomic structural variations in male and female gonads of P. clarkii. (A) Distribution of Poly(A) tail lengths in male and female gonads of P. clarkii. (B) KEGG enrichment analysis of differentially transcripts with different Poly(A) tail lengths in male and female gonads. (C) Statistical analysis of the number of transcripts contained in different genes. (D) The number of alternative splice sites of male and females gonads.
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Figure 4. Methylation analysis of male and female gonadal transcripts of P. clarkii. (A, B) The percentage of m6A methylation annotation at different positions. (C, D) The genetic features of the 5 bp long m6A methylation sites in male and female gonads. (E, F) The percentage of psU modification annotation at different positions. (G, H) The genetic features of the 5 bp long psU modification sites in male and female gonads.
Figure 4. Methylation analysis of male and female gonadal transcripts of P. clarkii. (A, B) The percentage of m6A methylation annotation at different positions. (C, D) The genetic features of the 5 bp long m6A methylation sites in male and female gonads. (E, F) The percentage of psU modification annotation at different positions. (G, H) The genetic features of the 5 bp long psU modification sites in male and female gonads.
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Table 1. Statistics of DRS Data.
Table 1. Statistics of DRS Data.
Sample Type Total Base Total Reads MaxLen. Avg.Len. N50 L50 N90 L90
Ovary 1 all 7,203,329,705 7,190,385 352,878 1,001.8 1,333 1,586,575 587 4,685,197
Ovary 1 pass 7,035,205,140 6,589,671 352,878 1,067.61 1,337 1,549,545 600 4,550,440
Ovary 2 all 6,862,036,544 7,133,498 447,796 961.94 1,268 1,612,176 568 4,663,799
Ovary 2 pass 6,677,586,014 6,476,178 447,796 1,031.09 1,270 1,567,948 581 4,509,429
Male reproductive system 1 all 6,987,707,818 11,667,433 426,539 598.9 1,007 2,106,671 332 6,723,197
Male reproductive system 1 pass 6,716,612,138 9,971,025 426,539 673.61 1,010 2,050,113 347 6,404,690
Male reproductive system 2 all 7,292,510,116 12,766,003 429,741 571.24 962 2,346,459 318 7,381,459
Male reproductive system 2 pass 7,058,291,748 10,676,480 429,741 661.1 971 2,279,150 333 7,031,049
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