Literature DB >> 26981395

De novo assembly and comparison of the ovarian transcriptomes of the common Chinese cuttlefish (Sepiella japonica) with different gonadal development.

Zhenming Lü1, Wan Liu1, Liqin Liu1, Huilai Shi2, Hongling Ping2, Tianming Wang1, Changfeng Chi1, Changwen Wu1, Ching-Hung Chen3, Kang-Ning Shen4, Chung-Der Hsiao5.   

Abstract

The common Chinese cuttlefish (Sepiella japonica) has been considered one of the most economically important marine Cephalopod species in East Asia and seed breeding technology has been established for massive aquaculture and stock enhancement. In the present study, we used Illumina HiSeq2000 to sequence, assemble and annotate the transcriptome of the ovary tissues of S. japonica for the first time. A total of 53,116,650 and 53,446,640 reads were obtained from the immature and matured ovaries, respectively (NCBI SRA database SRX1409472 and SRX1409473), and 70,039 contigs (N50 = 1443 bp) were obtained after de novo assembling with Trinity software. Digital gene expression analysis reveals 47,288 contigs show differential expression profile and 793 contigs are highly expressed in the immature ovary, while 38 contigs are highly expressed in the mature ovary with FPKM > 100. We hope that the ovarian transcriptome and those stage-enriched transcripts of S. japonica can provide some insight into the understanding of genome-wide transcriptome profile of cuttlefish gonad tissue and give useful information in cuttlefish gonad development.

Entities:  

Keywords:  Cuttlefish; Gonad development; Transcriptome

Year:  2015        PMID: 26981395      PMCID: PMC4778653          DOI: 10.1016/j.gdata.2015.12.011

Source DB:  PubMed          Journal:  Genom Data        ISSN: 2213-5960


Direct link to deposited data

http://www.ncbi.nlm.nih.gov/sra/SRX1409472 for immature ovary. http://www.ncbi.nlm.nih.gov/sra/SRX1409473 for mature ovary.

Introduction

The common Chinese cuttlefish (Sepiella japonica), also known as Japanese spineless cuttlefish, is an economically important Cephalopod species in Chinese coastal regions, south from Hong Kong and north to Korea and west Japan. It was once one of four major cephalopod species harvested in these regions. However, since the 1980s, wild-caught S. japonica fisheries have suffered a severe decline due to over-fishing [1], [2]. To enhance production, artificial breeding methods have been developed, and successful aquaculture techniques have been established in China [3]. Meanwhile, the restoration programs have been initiated in Chinese coastal waters to address the decline of wild populations of this species [1], [3]. However, previous studies has revealed that S. japonica had undergone a sophisticated precocious puberty when bred under artificial captivated conditions, which has undercut its possible potential for breeding along the coast of China. In some circumstance, captivated S. japonica can even get puberty and sex matured at age of 3–4 months when the average wet body weight reached 100 g during aquaculture [4]. Therefore, how to prevent the early puberty of this species in artificial environment has become quite crucial for the development of S. japonica aquaculture in the future, but the first step is necessary to understand the neuro-endocrine and molecular basis for gonad development and maturation of this species. Oocyte growth is a period of intense RNA synthesis, replication and redistribution of cytoplasmic organelles, and nutrient incorporation in oviparous animals, which may influence timing of puberty, fecundity, egg quality, and early embryogenesis [5]. The knowledge of how and what endocrine and/or intra-ovarian factors regulate oocyte growth is crucial for understanding the physiological basis for animal's puberty. In marine animals, with the aid of recent large-scale transcriptome studies which mainly conducted on teleosts, such as, trout [10], cod [6], and striped bass [7], a number of ovarian genes have been sequenced and deposited in databases making it possible to identify many mRNAs, profile their expression, and determine their functions. Genes involved in early gametogenesis [10], vitellogenesis [16], and final oocyte maturation [9] have been revealed and received considerable research attention. Possible precocious puberty related genes have been investigated in certain teleosts [8]. However, relatively few ovarian genes have been profiled in marine invertebrate Cephalopod and little is known about temporal gene expression during their oocyte growth. The objective of this study is to identify differentially expressed genes during oocyte growth and maturation process with the ultimate goal of establishing what genes regulate these stages of oogenesis and identifying the intra-ovarian factors that drive the puberty onset of the marine Cephalopod species, S. japonica.

Experimental design, materials and methods

RNA extraction

The immature (GSI = 0.49) and mature (GSI = 1.13) ovaries were dissected from artificial cultured S. japonica and immediately stored in RNA later (Qiagen, Hilden, Germany) and then stored at − 80 °C prior to RNA extraction. Total RNAs were extracted by using the TRIZOL Kit (Invitorgen, Carlsbad, CA, USA) following manufacturer's instructions. We also performed histological section to validate the developmental stage of immature (Fig. S1A) and mature (Fig. S1B) ovaries. Total RNA samples were then digested by DNase I to remove potential genomic DNA contamination. Integrity and size distribution were checked with Bioanalyzer 2100 (Agilent technologies, Santa Clara, CA, USA). Equal amounts of the high quality RNA samples from each tissue were then proceed to perform cDNA synthesis and next generation sequencing.
Fig. S1

Histological section of Sepiella japonica ovarian tissues at immature (A) and mature stages (B). The tissue section was stained with H&E to enhance the contrast.

RNA isolation, library construction and Illumina sequencing

Initially, about 2.5 μg of starting total RNAs were used to synthesize the cDNA libraries by following the standard protocols of the Illumina TruSeq RNA Sample Preparation Kit (Illumina, San Diego, CA, USA). The final library had an average fragment size of 180 bp and final yields of ~ 400 ng. After KAPA quantitation and dilution, the library was sequenced on an Illumina HiSeq 2000 with 101 bp paired-end reads. A total of 53,116,650 and 53,446,640 paired-end clean reads were generated with a read length of 101 bp for immature and mature gonads, respectively. Adaptor sequences were trimmed and reads with low quality or length less than 70 were further removed by SolexaQA software. After the removal of ambiguous nucleotides, duplicates and low-quality sequences (Phred quality scores < 20), a total of 106,563,290 cleaned reads were obtained. The raw transcriptomic sequences for immature and mature ovaries were deposited in the NCBI SRA database with accession number of SRX1409472 and SRX1409473.

De novo transcriptome assembly and functional annotation of gonad expressed genes

Cleaned reads were de novo assembled into unigenes by Trinity software [12] with default parameter settings. The transcriptome was assembled, combining 106,563,290 cleaned reads into 70,039 unigenes, ranging from 200 to 15,925 bp in length. The average length was 800 bp, the N50 length was 1443 bp (Fig. 1). The assembled unigenes were subjected to similarity search against NR, NT, Swiss-Prot, KEGG, COG and GO database using BLAST [13] with an e-value cut off of 1e-5. Gene name, descriptions and Gene ontology (GO) were assigned to each unigene based on the BLASTx results and we totally obtained 28,492 unigenes (41% annotation rate) has a significant hit. The E-value, similarity and species distribution for BLAST search were summarized in Fig. 2. KEGG pathways were assigned to assembled unigenes using the online KEGG Automatic Annotation Server (KAAS) (http://www.genome.jp/tools/kaas/). The Bi-directional Best Hit (BBH) method was used to obtain KEGG Orthology (KO) assignment. Gene ontology (GO) analysis was conducted on those 28,492 unigenes unigenes by Blast2Go. A total of 10,969 unique proteins were assigned at least one GO term for describing biological processes, molecular functions and cellular components.
Fig. 1

Length distribution of the assembled unigene of Sepiella japonica ovary transcriptome.

Fig. 2

The E-value (A), nucleotide similarity (B) and species distribution (C) for BLAST search of the Sepiella japonica ovarian transcriptome.

Gene expression quantification and differential expression analysis

The high-quality cleaned reads of each RNA-seq library were mapped to the assembled transcripts with Bowtie program [16]. The counting of alignments was done using RSEM [17]. The differential expression statistical analysis was done using the statistical method described in the R package [13]. Differentially expressed gene (fold changes > 2 and adjusted p-value < 0.001) between two samples were identified with the software. Mapping results show 47,288 contigs display significant differential expression between the immature and mature ovaries (Fig. 3). The contigs with FPKM ≥ 100 was defined as abundant expressed genes (AEGs). In total, 793 immature ovary-AEGs and 38 mature ovary-AEGs were identified in the common Chinese cuttlefish gonad transcriptome (Table S1). Apparently, the immature stage-biased AEGs including cyclin-O, piwi-like protein 1-like, vasa-like protein, histone H1, histone H1.6, histone H2A, gonadal-like histone H2B, histone H2B.1/H2B.2-like, histone H3.2-like, histone H4-like, sex-determining protein fem-1, DNA replication licensing factor mcm5, proliferating cell nuclear antigen (PCNA) and proliferation-associated protein 2G4 participate in germ plasm formation, early meiotic division resumption, oocyte division and cell proliferation. On the contrary, the mature stage-biased AEGs like vitellogenin-6, mitochondrial ferritin, transferrin and Cathepsin L are mostly associated with yolk protein synthesis, oocyte quality control, oocyte development/maturation, vitellin degradation and yolk protein utilization. We hope that the ovarian transcriptome and those stage-enriched transcripts of S. japonica can provide some insight into the understanding of genome-wide transcriptome profile of cuttlefish gonad tissue and give useful information in cuttlefish gonad development.
Fig. 3

The scattered plot showing the differential expressed unigenes between the immature (red) and mature (green) ovaries. The unigene highlighted in blue showing no differential expressed pattern.

The following are the supplementary data related to this article. Histological section of Sepiella japonica ovarian tissues at immature (A) and mature stages (B). The tissue section was stained with H&E to enhance the contrast.

Table S1

The up-and down-regulated genes for Sepiella japonica at different ovarian stages.
Specifications [standardized info for the reader]
Organism/cell line/tissueSepiella japonica/ovaries
SexFemale
Sequencer or array typeIllumina Hiseq2000
Data formatRaw and processed
Experimental factorsTranscriptome profiling of ovaries at two different maturation stages
Experimental featuresOvarian tissues at two developmental stages were dissected for total RNA extraction. Prepared cDNA libraries were paired-end sequenced by HiSeq2000 system. The obtained data was subjected for de novo transcriptome assembly using Trinity, and coding regions were predicted by BLAST. We performed BLASTP against the NR, NT, Swiss-Prot, KEGG, COG and GO database using BLAST with an e-value cut off of 1e-5 to annotate identified proteins.
ConsentN/A
Sample source locationNational engineering research center for facilitated marine aquaculture, Marine science college, Zhejiang Ocean University, Zhoushan, China
  10 in total

1.  Targeted gene expression profiling in the rainbow trout (Oncorhynchus mykiss) ovary during maturational competence acquisition and oocyte maturation.

Authors:  Julien Bobe; Thaovi Nguyen; Bernard Jalabert
Journal:  Biol Reprod       Date:  2004-02-25       Impact factor: 4.285

2.  Large-scale temporal gene expression profiling during gonadal differentiation and early gametogenesis in rainbow trout.

Authors:  Daniel Baron; Remi Houlgatte; Alexis Fostier; Yann Guiguen
Journal:  Biol Reprod       Date:  2005-07-13       Impact factor: 4.285

3.  Implementations of BLAST for parallel computers.

Authors:  A Jülich
Journal:  Comput Appl Biosci       Date:  1995-02

4.  Aligning short sequencing reads with Bowtie.

Authors:  Ben Langmead
Journal:  Curr Protoc Bioinformatics       Date:  2010-12

5.  De novo transcript sequence reconstruction from RNA-seq using the Trinity platform for reference generation and analysis.

Authors:  Brian J Haas; Alexie Papanicolaou; Moran Yassour; Manfred Grabherr; Philip D Blood; Joshua Bowden; Matthew Brian Couger; David Eccles; Bo Li; Matthias Lieber; Matthew D MacManes; Michael Ott; Joshua Orvis; Nathalie Pochet; Francesco Strozzi; Nathan Weeks; Rick Westerman; Thomas William; Colin N Dewey; Robert Henschel; Richard D LeDuc; Nir Friedman; Aviv Regev
Journal:  Nat Protoc       Date:  2013-07-11       Impact factor: 13.491

6.  RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome.

Authors:  Bo Li; Colin N Dewey
Journal:  BMC Bioinformatics       Date:  2011-08-04       Impact factor: 3.307

7.  Optimizing a massive parallel sequencing workflow for quantitative miRNA expression analysis.

Authors:  Francesca Cordero; Marco Beccuti; Maddalena Arigoni; Susanna Donatelli; Raffaele A Calogero
Journal:  PLoS One       Date:  2012-02-20       Impact factor: 3.240

8.  An ovary transcriptome for all maturational stages of the striped bass (Morone saxatilis), a highly advanced perciform fish.

Authors:  Benjamin J Reading; Robert W Chapman; Jennifer E Schaff; Elizabeth H Scholl; Charles H Opperman; Craig V Sullivan
Journal:  BMC Res Notes       Date:  2012-02-21

9.  Global transcriptome analysis identifies regulated transcripts and pathways activated during oogenesis and early embryogenesis in Atlantic cod.

Authors:  Lene Kleppe; Rolf Brudvik Edvardsen; Tomasz Furmanek; Geir Lasse Taranger; Anna Wargelius
Journal:  Mol Reprod Dev       Date:  2014-05-14       Impact factor: 2.609

10.  Identification of differentially expressed ovarian genes during primary and early secondary oocyte growth in coho salmon, Oncorhynchus kisutch.

Authors:  John A Luckenbach; Dimitar B Iliev; Frederick W Goetz; Penny Swanson
Journal:  Reprod Biol Endocrinol       Date:  2008-01-18       Impact factor: 5.211

  10 in total
  3 in total

1.  Transcriptome analysis for identifying possible causes of post-reproductive death of Sepia esculenta based on brain tissue.

Authors:  Jinyong Zhang; Muchun He; Zilong Xiang; Shufang Liu; ZhiMeng Zhuang
Journal:  Genes Genomics       Date:  2019-04-02       Impact factor: 1.839

2.  Characterization of Insulin-like Peptide (ILP) and Its Potential Role in Ovarian Development of the Cuttlefish Sepiella japonica.

Authors:  Zhenming Lü; Chenghao Yao; Shijie Zhao; Yao Zhang; Li Gong; Bingjian Liu; Liqin Liu
Journal:  Curr Issues Mol Biol       Date:  2022-05-27       Impact factor: 2.976

3.  Inhibitory Effect of FMRFamide on NO Production During Immune Defense in Sepiella japonica.

Authors:  Libing Zheng; Huimin Cao; Jiayin Qiu; Changfeng Chi
Journal:  Front Immunol       Date:  2022-04-28       Impact factor: 8.786

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.