Literature DB >> 32529009

RNA-Seq transcriptome data of undifferentiated and differentiated gonads of Siberian sturgeon.

Christophe Klopp1, André Lasalle2, Santiago Di Landro2, Denise Vizziano-Cantonnet2.   

Abstract

RNA-Seq transcriptome data from twenty Siberian sturgeon gonads at different developmental stages is described: ten undifferentiated gonads, six gonads of immature males and four gonads from immature females. Siberian sturgeon, Acipenser baerii, is long-lived, late-maturing fish farmed in 50 countries but its production remains on a craftsman scale when compared to industrial species. Sturgeon genetic and physiological studies are less developed than for industrial fish. The data presented hereafter enables fundamental studies on the regulatory mechanisms of sturgeon gonad development, which can further be applied both in aquaculture and in fundamental research.
© 2020 The Author(s). Published by Elsevier Inc.

Entities:  

Keywords:  Acipenser baerii; RNA sequencing; gametogenesis; gonads; sex differentiation

Year:  2020        PMID: 32529009      PMCID: PMC7280750          DOI: 10.1016/j.dib.2020.105741

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of data This data set will benefit the community of scientists working on sex determination/sex differentiation mechanisms and gametogenesis as well as fish evolution. This data set includes RNA-Seq of gonads at several stages before and after sex differentiation enabling to better understand the control of sex differentiation. This data will facilitate the development of sex control strategies to increase aquaculture production of Siberian sturgeon.

Data

Gonadal development, from sex differentiation to the end of gametogenesis and gamete production is a key process for species perpetuation. Understanding the different regulation steps of gonad development is a key point in reproduction studies. These studies may have an impact at the applied level in the control of sex and production of gametes in aquaculture; and they also can be useful for the understanding of the general mechanisms of sex differentiation and its evolution. The Siberian sturgeon is a long lived and late maturing fish for which mechanisms of sex differentiation and gametogenesis are not well understood [1]. The unraveling of the molecular control of sex differentiation and early gametogenesis can profit from gonad RNA-seq data sets at different maturation stages. We provide here a high-quality data set including 10 gonads from sex undifferentiated animals and 10 immature gonads at early stages of gametogenesis. Gonad samples were taken from fish at several stages of sex undifferentiated period (2.5, 3, 5, and 6 months of age), males at immature stage containing only spermatogonia (8, 9, 14 and 17 months of age), and females with oogonias and different stages of oocyte development previous to vitellogenesis (9 and 17 months of age) [1]. The gonads were sequenced individually using Illumina HiSeq 2500, except at 2.5 months for which gonads of 13 fish were collected individually under binocular loupe and pooled before RNA extraction. Raw data correspond to Fastq for RNA-Seq reads and fasta for assembled contigs. The library identification and the corresponding SRA files are given in the Table 1.
Table 1

Fish identification (Id), library name, SRA files, SAMN files, sequencer and quality of sequences produced

Fish IdTissue samplesLibrary nameSRA filesSAMN filesSequencerNb of bases (1)Alignment rate (2)Q20 ratio (3)
I1Undifferentiated gonad186SRR10466921SAMN13294989Illumina HiSeq 2500259049940093,2596,19
I2Undifferentiated gonad414SRR10466920SAMN13294990Illumina HiSeq 2500359933320095,0990,54
I3Undifferentiated gonad417SRR10466909SAMN13294991Illumina HiSeq 2500295109280094,4590,50
I4Undifferentiated gonad640SRR10466908SAMN13294992Illumina HiSeq 2500335682000095,2690,16
I5Undifferentiated gonad649SRR10466907SAMN13294993Illumina HiSeq 2500301626780094,5189,90
I6Undifferentiated gonad961SRR10466906SAMN13294994Illumina HiSeq 2500836204560094,3890,12
I7Undifferentiated gonad302SRR10466905SAMN13294995Illumina HiSeq 25001,2866E+1096,5396,92
I8Undifferentiated gonad306SRR10466904SAMN13294996Illumina HiSeq 25002,4061E+1095,5396,86
I9Undifferentiated gonad313SRR10466903SAMN13294997Illumina HiSeq 25001,2309E+1097,0296,20
I10Undifferentiated gonad214SRR10466902SAMN13294998Illumina HiSeq 25001,245E+1096,7397,09
M1Immature testis152SRR10466919SAMN13294999Illumina HiSeq 25001,5511E+1095,7296,40
M2Immature testis165SRR10466918SAMN13295000Illumina HiSeq 2500587958820094,9296,54
M3Immature testis172SRR10466917SAMN13295001Illumina HiSeq 2500596351960096,2496,72
M4Immature testis175SRR10466916SAMN13295002Illumina HiSeq 25001,0986E+1094,6396,65
M5Immature testis259SRR10466915SAMN13295003Illumina HiSeq 2500251112680095,2496,85
M6Immature testis260SRR10466914SAMN13295004Illumina HiSeq 2500323905040095,3796,59
F1Immature ovary171SRR10466913SAMN13295005Illumina HiSeq 2500309932900094,0196,31
F2Immature ovary173SRR10466912SAMN13295006Illumina HiSeq 2500311756860094,1896,54
F3Immature ovary261SRR10466911SAMN13295007Illumina HiSeq 2500209234620097,9296,51
F4Immature ovary262SRR10466910SAMN13295008Illumina HiSeq 2500258780660097,9196,64

Number of bases

Alignment rate: is the number of sequences aligned on the de novo transcriptome reference divided by the total number of sequences of the sample expressed in percent

Q20 ratio is the number of raw read base pairs having a quality score equal or over 20 divided by the total number of read base pairs of the sample expressed in percent.

Fish identification (Id), library name, SRA files, SAMN files, sequencer and quality of sequences produced Number of bases Alignment rate: is the number of sequences aligned on the de novo transcriptome reference divided by the total number of sequences of the sample expressed in percent Q20 ratio is the number of raw read base pairs having a quality score equal or over 20 divided by the total number of read base pairs of the sample expressed in percent.

Experimental design, materials, and methods

Ethics statement

Research procedures involving animal experimentation complied with international principles on the use and care of laboratory animals and Uruguayan regulations on animal welfare (Comisión Honoraria de Experimentación Animal: CHEA). The protocol was approved by the “Comisión de Etica en el Uso de Animales” from the Comisión Honoraria de Experimentación Animal CHEA of Uruguay (Authorization Number 006-11).

Experimental animals and rearing procedures

Siberian sturgeon (Acipenser baerii) individuals were obtained from a fish farm (Estuario del Plata, Uruguay). The embryos come from Poland, and were hatched and reared at natural temperature at the sturgeon farm [2]. The fish were sacrificed by spinal transection. Gonad samples for transcriptome studies were used individually for RNA extraction, except for the 2.5-month-old individuals, for which gonads of 13 fish were pooled for RNA extraction due to their minute size. The external gonad characteristics were observed for fish aged 2.5–5 months that were considered as sex undifferentiated following previous studies made in our Laboratory [1, 3]. For 6-month-old fish, gonad staging was performed in fish from the same cohort as the fish used for RNA extraction, as the gonads are too small to at this age to allow for RNA extraction and histological gonad staging in the same fish. In fish >6 months of age, one gonad was frozen in liquid nitrogen and stored at -80°C until RNA extraction, and the contralateral gonad was stored in 10% formaldehyde for histological analysis). Histological data were reported previously [3].

RNA extraction, cDNA library construction, and Illumina sequencing

RNA was extracted using the Illustra RNAspin Mini RNA Isolation Kit (GE Healthcare, Little Chalfont, UK) according to manufacturer instructions, and quality was assessed using an Agilent 2100 Bioanalyzer. The cDNA libraries were developed from the total RNA of the individual samples. The RNA samples conformed to the required purity criteria (A260/A230 and A260/A280 >1.8) and quality levels (RIN >8) (Agilent 2100 Bioanalyzer) for library preparations for sequencing. The cDNA libraries were constructed on a Tecan EVO200 liquid handler using the Illumina TruSeq Stranded mRNA sample prep kit for RNA analysis. Briefly, the mRNA molecules containing poly (A) were purified using magnetic poly (T) beads from each total RNA sample. A fragmentation buffer was added to break the mRNA into short fragments with an average length of 155 base pairs (bp) (120–210 bp). From these fragments, the first strand cDNA was synthesized using random hexamer primer. The second cDNA strand was synthesized. After purification and end repair, these short cDNA were ligated to the sequencing adapters (60 bp on each side) and enriched by polymerase chain reaction (PCR, 12 cycles). Libraries were checked using an Agilent High Sensitivity DNA Kit and quantified with a KAPA Library Quantification Kit to ensure accuracy. RNA-seq experiments were performed on the Illumina HiSeq 2500 platform (high-throughput mode) with a paired-end read length of 2 × 100 bp and an Illumina TruSeq SBS kit, v3.

Transcriptome assembly

The reads were assembled using the methods presented in [1] and released at in NCBI in TSA (Transcriptome Shotgun Assembly): https://www.ncbi.nlm.nih.gov/nuccore/GICD00000000. The quality assessment results of the assembled transcriptome were presented in [3] and resumed in Table 1.

Author contributions

C.K. and D.V.C. conceived and designed the experiments; D.V.C directed the research project, acquired the funding and administrate the projects; A.L. and SDL performed the experiments; C.K. and D.V.C. analyzed the data and organized the datasets; the manuscript was written by C.K. and D.V.C.

Funding

This work was supported by the Comisión Sectorial de Investigación Científica (CSIC), Universidad de la República Oriental del Uruguay, Grant C225-348-Uruguay; the Agencia Nacional de Investigación e Innovación-Dirección Nacional de Recursos Acuáticos ANII-DINARA – FPA 9975-Uruguay; and Agencia Nacional de Investigación e Innovación - FMV_1_2017_1_135908.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper
SubjectBiology
Specific subject areaTranscriptomics, sex determination and differentiation
Type of dataRaw RNA-Seq data and assembled reference transcriptome assembly
How data were acquiredIllumina HiSeq 2500
Data formatRaw data and assembly information
Parameters for data collectionGonads from10 sex undifferentiated fish of 3 to 6 months of age
Gonads from 4 immatures males (only spermatogonias) before first maturity and from 6 immatures females (with oogonias and pre-vitellogenic oocytes)
Description of data collectionGonads were collected from Siberian sturgeons farmed at Estuario del Plata (San Gregorio de Polanco, Uruguay) under natural conditions. The gonad stage was identified by histology for fish ≥6 months of age.
Data source locationLaboratorio de Fisiología de la Reproducción y Ecología de Peces, Facultad de Ciencias, Universidad de la República Oriental del Uruguay.
Country: Uruguay
Site of collection: Estuario del Plata sturgeon farm, San Gregorio de Polanco, Tacuarembó, Uruguay
Data accessibilityRaw data of RNA Seq analysis are available on Sequence Read Archive (SRA) database and connected with BioProject PRJNA589957https://www.ncbi.nlm.nih.gov/bioproject/PRJNA589957Reference transcriptome assembly is available at the NCBI in TSAhttps://www.ncbi.nlm.nih.gov/nuccore/GICD00000000
  2 in total

1.  Identification of the molecular sex-differentiation period in the Siberian sturgeon.

Authors:  Denise Vizziano-Cantonnet; Santiago Di Landro; André Lasalle; Anabel Martínez; Talita Sarah Mazzoni; Irani Quagio-Grassiotto
Journal:  Mol Reprod Dev       Date:  2015-10-26       Impact factor: 2.609

2.  De novo transcriptome analysis to search for sex-differentiation genes in the Siberian sturgeon.

Authors:  Denise Vizziano-Cantonnet; André Lasalle; Santiago Di Landro; Christophe Klopp; Clémence Genthon
Journal:  Gen Comp Endocrinol       Date:  2018-08-03       Impact factor: 2.822

  2 in total

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