Literature DB >> 31203477

Analysis of Chromosomal Numbers, Mitochondrial Genome, and Full-Length Transcriptome of Onychostoma brevibarba.

Fangzhou Hu1,2, Jingjing Fan1, Chang Wu1, Ming Zhu1, Yunfan Zhou1, Shi Wang1, Chun Zhang1, Min Tao1, Rurong Zhao1, Chenchen Tang1, Kaikun Luo1, Qinbo Qin1, Ming Ma2, Bo Chen2, Jinpu Wang3, Aiguo Zhou4, Liangxiong Bai5, Shaojun Liu6.   

Abstract

Onychostoma brevibarba is a new discovered species which is distributed in Xiang Jiang River of the middle Chang Jiang basin in Hunan Province, South China. In this study, the ploidy levels of O. brevibarba were confirmed by counting chromosomal numbers and analyzing karyotype. The complete mitochondrial genome of O. brevibarba was determined and analyzed. Besides, we firstly performed the full-length transcriptome of O. brevibarba derived from 5 different tissues using the PacBio SMRT sequencing. The result shows that O. brevibarba was a diploid with 50 chromosomes [corrected]. The complete mitogenome of O. brevibarba was 16,602 bp in size and very similar (89.1-91.3%) to that of other Onychostoma species but was distinct from all congeners. The full-length transcriptome dataset of O. brevibarba comprised 120,239 unigenes. Among the unigenes, 91,542 were functionally annotated, whereas 26,794 were found to have two or more isoforms. This study could provide many new insights into cytology and molecular characteristics of O. brevibarba; it laid the foundation for further exploration of the genomic signatures of species of Onychostoma.

Entities:  

Keywords:  Chromosome and karyotype; Mitochondrial DNA; Onychostoma brevibarba; PacBio sequencing; Transcriptome

Mesh:

Year:  2019        PMID: 31203477      PMCID: PMC6679832          DOI: 10.1007/s10126-019-09899-6

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


Introduction

Species in the genus Onychostoma are small and medium-sized freshwater fishes that belong to the order Cypriniformes (Cyprinidae: Barbinae) that are found throughout hill streams and in middle-and upper-river habitats (Yue et al. 2000). Onychostoma contains approximately 19 species (subspecies) that are distributed widely in East and Southeast Asia, and some are of high economic value (Han et al. 2015). The restriction of the lower lip, which bears a sharp, cornified sheath on the cutting edge, to the sides of the lower jaw in Onychostoma is almost diagnostic (Yue et al. 2000). Most of the current researches on the Onychostoma is about morphological characteristics and taxonomy, and the research on the cytology and molecular is rare. Only a few research involved chromosomal numbers, mitochondrial genome, and 5S rDNA (Han et al. 2015; Yu et al. 1987; Dai et al. 2012; Pei-Zhen 2012; Dai 2013; Yin and Dai 2014; Tseng et al. 2017). The research and evaluation of the genetic diversity of the species of Onychostoma have important practical guiding significance for the conservation and sustainable use of the fish resources. At present, RNA-Seq has been widely used in fish genetic studies (Xu et al. 2015; Hu et al. 2017; Tao et al. 2013; Bar et al. 2016; Sharma et al. 2014). However, the differences in transcript abundance and the presence of different isoforms greatly challenge the assembly of a transcriptome from short reads. Single-molecule long-read sequencing technology from Pacific Biosciences (PacBio) (Rhoads and Au 2015; Weirather et al. 2017) has provided an efficient approach to sequence full-length cDNA molecules, which has been successively used for whole-transcriptome profiling in some species (Zhang et al. 2018a, b; Yang et al. 2018), including fishes (Yi et al. 2018). Onychostoma brevibarba is a new discovered species and distributed in Xiang Jiang River of the middle Chang Jiang basin in Hunan Province, South China (Song et al. 2018). However, ploidy levels and genomic signatures about the species remain unknown. In this study, we firstly reported the chromosomal numbers, karyotype, and complete mitochondrial genome of O. brevibarba. Moreover, we reported the first PacBio transcriptome sequencing of O. brevibarba. Our result provides many new insights into cytology and molecular characteristics of O. brevibarba; it established the base of further research, utilization, and protection of this species.

Materials and Methods

Ethics Statement

Fish treatments were carried out according to the Care and Use of Agricultural Animals in Agricultural Research and Teaching, approved by the Science and Technology Bureau of China. Approval from the Department of Wildlife Administration is not required for the experiments conducted in this paper. Fish was deeply anesthetized with 100 mg/L MS-222 (Sigma-Aldrich) before dissection.

Animal Material

The water system of Mang Mountain is upstream of the Beijiang River, which belongs to the source of the Pearl River. The O. brevibarba (Fig. 1) were collected from streams of two different sites between 300 and 1000 m on Mang Mountain.
Fig. 1

The appearance of Onychostoma brevibarba

The appearance of Onychostoma brevibarba

Chromosomal Numbers and Karyotype

Ten O. brevibarba individuals were randomly sampled for examination of chromosomal numbers and karyotype. Mitotic chromosomes were obtained from peripheral blood cell cultures following the procedures described in Xiao et al. (Xiao et al. 2014). First, about 0.1 mL blood was collected from each sample using a syringe soaked with 0.1% sodium heparin and cultured in nutrient solution at 25.5 °C and 5% CO2 for 72 h; then, colchicine was added 3.5 h before harvest. Cells were harvested by centrifugation, followed by hypotonic treatment with 0.075 M KCl at 26 °C for 30 min, then fixed in methanolacetic acid (3:1, v/v) with three changes. Cells were dropped onto cold slides, air dried, and stained for 30 min in 4% Giemsa solution. Fifty metaphase spreads from ten individuals were analyzed to confirm the chromosomal numbers and the karyotype structure. The chromosomes were classified as metacentric (m), submetacentric (sm), subtelocentric (st), and telocentric (t), according to Levan et al. (Levan et al. 1964).

Mitogenome Analyses

Two O. brevibarba individuals were randomly sampled for mitogenome analyses. The genomic DNA was extracted from the blood cells of O. brevibarba via a phenol/chloroform extraction method and used as templates. Ten pairs of polymerase chain reaction (PCR) primers (Supplementary Table 1) were designed to amplify the entire mitogenome sequence based on the conserved sequences of Cyprinid species retrieved from GenBank using Primer 5.0 software. The amplifications were performed in a 25 μL reaction volume containing 1× LA PCR buffer II (Mg2+), 1.25 mM of dNTPs, 0.5 mM of each primer, 1.25 Unit of LA Taq polymerase (Takara, Dalian, China), and approximately 100 ng of template genomic DNA. PCR was performed under the following conditions: denaturation at 95 °C for 5 min followed by 30 cycles at 98 °C for 10 s, 52–58 °C for 45 s, and 72 °C for 1–5 min as well as further incubation for 10 min at 72 °C. Subsequently, the targeted fragments were purified using a gel extraction kit (Sangon, Shanghai, China) and directly sequenced by the Sangon Biotechnology Company (Sangon, Shanghai, China). The sequences homology and variation among the fragments amplified from this new species were analyzed using BioEdit (Hall 1999), ClustalW (Larkin et al. 2007), and MEGA7 (Kumar et al. 2016). The published sequences of complete mtDNA were obtained from the NCBI GenBank. The accession numbers were O. simum (KF021233), O. barbatulum (KC896762), O. barbatum (KT438512), O. alticorpus (NC_021473), O. rara (KF626377), O. gerlachi (KP244449), O. macrolepis (KF999680), and O. lini (JQ343982). The phylogenetic tree was constructed on the complete sequences of mtDNA using neighbor-joining (NJ) program of MEGA (7.0) software package based on the Kimura 2-parameter model. The statistical reliability was tested using bootstrap support (BS). The BS values of nodes of the subtree were obtained after 1000 replicates. Molecular phylogenies were used primarily to support the placement of the newly collected specimens within the genus Onychostoma, rather than to resolve phylogenetic relationships within the group.

RNA Extraction, Library Construction, and PacBio Sequencing

Total RNA was isolated from 5 tissues (liver, eye, muscular, kidney, and fin ray) using the TRIzol Reagent (Invitrogen) following the manufacturer’s protocol. RNA quality and concentration were determined using gel electrophoresis and Agilent Bioanalyser 2100 (Agilent Technologies, CA, USA), respectively. Equal amounts of the total RNA from each of the 5 tissues were pooled to generate one sample for library preparation. The first-strand cDNA was synthesized using SMARTer PCR cDNA Synthesis Kit (Clontech, CA, USA). After a round of PCR amplification, the amplified cDNA was size selected into different size fractions to prevent preferential small template sequencing, using the Blue Pippin (Sage Science; MA, USA). One library (0.5–6 kb) was constructed and sequenced on two cells with PacBio Sequel system (PacBio, CA, USA).

Data Analysis of PacBio Sequencing Reads

Raw PacBio polymerase reads that have subreads ≥ 50 and a predicted consensus accuracy ≥ 0.75 were selected to produce reads of insert (ROIs), including full-length (FL) and non-full-length (nFL) transcript sequences according to whether 5′/3′ cDNA primers and a poly (A) tail were simultaneously observed. The FL sequences were subjected to isoform-level clustering by the Iso-Seq iterative clustering for error correction (ICE) algorithm to generate consensus sequences. The redundancy of the consensus sequences was removed using CD-HIT (version 4.6) to obtain isoform-level sequences. Finally, the isoform-level sequences were further clustered by CD-HIT to generate the unigene sequences.

Gene Annotation

Functional annotations were conducted by using BLAST toolkit (E value ≤ 1 × 10−5) against different protein and nucleotide databases of Clusters of Orthologous Groups (COG); a manually annotated, non-redundant protein database (Swiss-Prot); NCBI non-redundant proteins database (NR); and Kyoto Encyclopedia of Genes Genomes (KEGG). Meanwhile, we used InterProScan5 (Philip et al. 2014) to obtain the InterPro annotation. Blast2GO (Conesa and Gotz 2008) was used to annotate with Gene Ontology (GO) based on the NR annotation. Alternative splicing (AS) types cannot be identified due to the lack of genomic information of O. brevibarba. But, the corrected PacBio reads derived from a single RNA molecule, and thus, this data can be sufficient to detect gene splice site (Tilgner et al. 2013). Based on the AS gene identified for Danio rerio, Takifugu rubripes, Oryzias latipes, and Gasterosteus aculeatus (Lu et al. 2010), the potential level of conservation of annotated AS transcripts between the O. brevibarba and these four teleosts was conducted.

RT-PCR Validation of AS

For PCR validation of AS, gene-specific primers were designed using Primer Premier (Version 6.0). All primers used in the RT-PCR analyses are reported in Supplementary Table 2. RNA samples were used as templates for reverse transcription with the PrimeScript RT reagent Kit (TaKara, Dalian, China). The RT-PCR was performed with an amplification protocol included initial denaturation at 95 °C for 10 min; 30–35 cycles of 95 °C for 15 s, 52–56 °C for 30 s, and 72 °C for 30 s; and 72 °C for 1 min.

Data Availability

All relevant supplementary data is provided within this manuscript as Supplementary files. We deposited the raw bam files in the Sequence Read Archives (SRA) of the National Center for Biotechnology Information (NCBI) under SRA accession SRR8786412.

Results

Chromosomal Numbers and Karyotype Analyses

Chromosomes were counted in ten metaphase spreads of O. brevibarba. Of the individuals examined, 95% of chromosomal metaphases possessed 50 chromosomes, indicating that they are diploids with 50 chromosomes (2n = 50) (Fig. 2a). The karyotype analysis indicated that the karyotype is 14 m + 12 sm + 8 st + 16 t (Fig. 2b and Table 1).
Fig. 2

The chromosomal numbers and karyotype of Onychostoma brevibarba.a The 50 chromosomes of O. brevibarba. b The karyotype of O. brevibarba. The scale bar in a and b represents 3 μm

Table 1

Chromosomal numbers and karyotypic formulae of different Onychostoma species

SpeciesChromosome numberKaryotypic formula
O. brevibarba 5014 m + 12 sm + 10 st + 6 t
O. simus 5010 m + 16 sm + 16 st + 8 t
O. rara 5012 m + 16 sm + 10 st + 12 t
O. lini 5012 m + 8 sm + 4 st + 26 t
O. gerlachi 5012 m + 12 sm + 14 st + 12 t
O. barbatulum 5010 m + 24 sm + 16 a (♀)
10 m + 23 sm + 17 a (♂)
O. alticorpus 506 m + 26 sm + 18 a (♀)
6 m + 27 sm + 17 a (♂)
O. macrolepis 5016 m + 14 sm + 8 t
The chromosomal numbers and karyotype of Onychostoma brevibarba.a The 50 chromosomes of O. brevibarba. b The karyotype of O. brevibarba. The scale bar in a and b represents 3 μm Chromosomal numbers and karyotypic formulae of different Onychostoma species

Mitogenome and Phylogenetic Analyses

The complete mitogenome of O. brevibarba was 16,602 bp in size with 13 protein-coding genes (PCGs), 22 transfer RNA (tRNA) genes, and a control region (CR) (GenBank accession: MG523272). Besides, the 1550 bp COI gene sequence was identified among the nine individuals. Most of the mitochondrial genes were encoded on a heavy strand (H-strand), except for NADH dehydrogenase subunit 6 (ND6) and eight tRNA genes (tRNA-Gln, tRNA-Ala, tRNA-Asn, tRNA-Cys, tRNA-Tyr, tRNA-Ser1, tRNA-Glu, and tRNA-Pro), which were encoded on a light strand (OL). The gene composition, arrangement, and transcriptional orientation in O. brevibarba are similar to that of other vertebrates (Table 2). The overall base composition of the H-strand was 31.38% A, 25.10% T, 27.44% C, and 16.08% G (Table 3). All PCGs started with the standard ATG codon, except the COI gene which used GTG as the starting codon. TAA was the typical stop codon in six PCGs (ND1, COI, ATP6, COIII, ND4L, and ND5) while TAG was the stop codon for four PCGs (ND2, ATP8, ND3, and ND6), and the other three genes (COII, ND4 and Cytb) had an incomplete T stop codon. The 12S ribosomal RNA (rRNA) (959 bp) and 16S rRNA (1703 bp) genes were separated by the tRNA-Val gene. Twenty-two tRNA genes ranged from 67 bp (tRNA-Cys) to 77 bp (tRNA-Glu). All tRNAs exhibited a typical clover-leaf secondary structure, except tRNA-Ser2, which lacked the dihydrouridine arm and was replaced with a simple loop. Between tRNA-Asn and tRNA-Cys, a 47-bp sequence was identified as the origin of the replication of the L-strand (OL), which could be folded into a hairpin structure. The A- and T-rich (65.68%) CR (944 bp) were located between tRNA-Pro and tRNA-Phe (Table 2).
Table 2

Characteristics of the mitochondrial genome of O. brevibarba

GeneStart positionStop positionStart codonStop codonSize (bp)Strand (sense)
tRNA-Phe 16969H
12sRNA 701028959H
tRNA-Val 1026109772H
16sRNA 109727991703H
tRNA-Leu 2780285576H
ND1 28563830ATGTAG975H
tRNA-Ile 3837390872H
tRNA-Gln 3907397771L
tRNA-Met 3981404969H
ND2 40505096ATGTAG1047H
tRNA-trp 5095516571H
tRNA-Ala 5168523669L
tRNA-Asn 5238531073L
Ol5307535347
tRNA-Cys 5344541067L
tRNA-Tyr 5410548071L
CoI54827032GTGTAA1551H
tRNA-Ser 7033710371L
tRNA-Asp 7106717873H
CoII71927882ATGT--691H
tRNA-Lys 7883795876H
ATP879608124ATGTAA165H
ATP681188801ATGTAA684H
CoIII 88019586ATGTAA786H
tRNA-Gly 9586965873H
ND3965910,009ATGTAG351H
tRNA-Arg 10,00810,07871H
ND4L10,07810,374ATGTAA297H
ND410,36811,747ATGT--1380H
tRNA-His 11,74811,81669H
tRNA-Ser 11,81711,88569H
tRNA-Leu 11,89211,96473H
ND511,96113,784ATGTAA1824H
ND613,78114,302ATGT--522L
tRNA-Gln 14,30314,37977L
Cytb14,37715,517ATGT--1141H
tRNA-Thr 15,51815,58972H
tRNA-Pro 15,58915,65870L
D-loop15,65916,602944
Table 3

Comparison of nucleotide percent divergence and similarity among O. brevibarba and 8 other Onychostoma species

SpeciesLength (bp)Nucleotide composition (%)Similarity (%)GenBank number
ATCG
O. brevibarba 16,60231.3825.127.4416.08MG523272
O. simum 16,60131.3124.328.2816.1189.4KF021233
O. barbatulum 16,59731.4525.1527.4016.0091.3KC896762
O. barbatum 16,58931.5424.4928.0515.9190.7KT438512
O. alticorpus 16,60430.9123.5529.0116.5389.3NC_021473
O. rara 16,59031.4924.1528.4715.8889.6KF626377
O. gerlachi 16,59731.3824.2428.2916.0989.5KP244449
O. macrolepis 16,59531.2924.5327.7916.2190.5KF999680
O. lini 16,59531.6224.5727.9415.8790.8JQ343982
Characteristics of the mitochondrial genome of O. brevibarba Comparison of nucleotide percent divergence and similarity among O. brevibarba and 8 other Onychostoma species The phylogenetic tree was created by bootstrapping and neighbor joining with the complete mtDNA sequences (Fig. 3). Phylogenetic analysis indicated that O. brevibarba is most closely related to O. barbatulum, only differing by 8.7%.
Fig. 3

The neighbor-joining evolutionary tree reconstructed based on complete mitochondrial genomic sequences from nine Onychostoma species from NCBI GenBank (with accession numbers): O. simum (KF021233), O. barbatulum (KC896762), O. barbatum (KT438512), O. alticorpus (NC_021473), O. rara (KF626377), O. gerlachi (KP244449), O. macrolepis (KF999680), and O. lini (JQ343982). The scale bar indicates the nucleotide diversity between sequences, and the bootstrapping value of each branch is shown in front of the node

The neighbor-joining evolutionary tree reconstructed based on complete mitochondrial genomic sequences from nine Onychostoma species from NCBI GenBank (with accession numbers): O. simum (KF021233), O. barbatulum (KC896762), O. barbatum (KT438512), O. alticorpus (NC_021473), O. rara (KF626377), O. gerlachi (KP244449), O. macrolepis (KF999680), and O. lini (JQ343982). The scale bar indicates the nucleotide diversity between sequences, and the bootstrapping value of each branch is shown in front of the node

Overview of the PacBio Sequencing Datasets

Using equally pooled RNAs extracted from five different tissues of O. barbatulum, one library with cDNA insert sizes 0.5–6 kb was prepared. The libraries were sequenced using two SMRT cells on the PacBio Sequel platform. The two cells generated 1,365,887 polymerase reads, among which 792,917 ROIs were successfully extracted with mean lengths of 1900 bp and 11.40 passes (Table 4).
Table 4

Summary of reads of insert

MovieLibrary sizeReads number Of insertReads bases of insertMean reads length of insertMean number of passes
m541360.5–6 K408,733795,808,8881947.0113.2
m540650.5–6 K384,184713,245,2181856.529.47
Summary of reads of insert Depending on whether 5′/3′ primer sequences and poly A tails were detected, totally, 585,750 FL non-chimeric transcripts were further extracted from the ROIs of the library. After clustering using smrtlink5.1, 259,042 non-redundant isoform-level transcripts were produced, including 172,126 mRNAs and 86,916 lncRNAs. The average length of mRNA was 2176.36 bp (Supplementary Table 3). Finally, a total of 120,239 unigene sequences were obtained.

Functional Annotation of the O. barbatulum Transcriptome

To analyze the function of the 120,239 unigenes, we used five databases, including NR, Swiss-Prot, COG, GO, and KEGG, to perform functional annotations. A total of 91,542 unigenes (76.13%) were successfully matched to known sequences in at least one of the five databases, and 19,978 unigenes were found to have high-confidence homologs in all five databases (Fig. 4a and Table 5). A total of 73,718 unigenes were successfully matched KEGG pathway; among these unigenes, as many as 12,236 unigenes were assigned to different environmental information processing, including 10,102 “signal transduction,” 1932 “signaling molecules and interaction,” and 202 “membrane transport” (Fig. 4b and Supplementary Table 4). For COG annotation, a total of 67,296 unigenes were assigned to 51 functional categories. The majority of annotated unigenes were assigned to “protein binding,” “ATP binding,” “integral component of membrane,” “membrane,” and “oxidation-reduction process” (Fig. 4c and Supplementary Table 5).
Fig. 4

Functional annotation of the O. brevibarba full-length transcriptome. a Venn diagram of NR, GO, COG, KEGG, and Swiss-Prot annotation results. b Classification of KEGG annotation. c Classification of GO annotation

Table 5

Statistics of annotation

DatabaseCOGKEGGNRSwiss-ProtGORefseqTotal annotated
Gene number58,67553,92288,66574,23730,85790,49591,542
Annotation ratio (%)48.844.8573.7461.7425.6675.2676.13
Functional annotation of the O. brevibarba full-length transcriptome. a Venn diagram of NR, GO, COG, KEGG, and Swiss-Prot annotation results. b Classification of KEGG annotation. c Classification of GO annotation Statistics of annotation

Widespread Distribution of mRNA Isoforms

One of the most important features of PacBio Sequencing is the ability to identify alternative splicing (AS), alternative transcription initiation, and alternative polyadenylation by directly comparing isoforms of the same gene. Among the 120,239 unigenes identified in O. barbatulum, 23.60% (28,372) have two or more isoforms and 13.55% (16,289) have three or more distinct isoforms (Fig. 5a and Supplementary Table 6). Functional enrichment analysis was performed on the top 5% AS unigenes. The GO analysis of these AS unigenes mainly involved cellular response (Fig. 5b). The KEGG pathway annotation enabled us to assign 693 unigenes to 13 pathways. Pathway enrichment analysis revealed that the top 5 enriched pathways were endocytosis, ribosome, ras signaling pathway, insulin signaling pathway, and axon guidance (Fig. 5c).
Fig. 5

Alternative isoform analysis of the O. brevibarba full-length transcriptome. a Distribution of unigenes that have one or more alternative isoforms. b The top 5% alternative isoform numbers of unigenes GO enrichment. c The top 5% alternative isoform numbers of unigenes KEGG enrichment

Alternative isoform analysis of the O. brevibarba full-length transcriptome. a Distribution of unigenes that have one or more alternative isoforms. b The top 5% alternative isoform numbers of unigenes GO enrichment. c The top 5% alternative isoform numbers of unigenes KEGG enrichment A total of 2452 AS transcripts in O. barbatulum were shared with at least one of the four teleost species and varied from 40.17% (985) in Danio rerio to 11.5% (282) in Gasterosteus aculeatus. In addition, 226 AS transcripts were shared between two or more species. O. barbatulum and Danio rerio share closer evolutionary relationships than with the more distantly related Takifugu rubripes, Oryzias latipes, and Gasterosteus aculeatus, and shared larger numbers of AS gene identities with the three other teleost species (Fig. 6).
Fig. 6

Venn diagram of shared AS variants among O. brevibarba and four teleost species. For shared regions, O is O. brevibarba, D Danio rerio, T Takifugu rubripes, L Oryzias latipes, G Gasterosteus aculeatus. OD represents the number of AS variants shared only between O. brevibarba and Danio rerio

Venn diagram of shared AS variants among O. brevibarba and four teleost species. For shared regions, O is O. brevibarba, D Danio rerio, T Takifugu rubripes, L Oryzias latipes, G Gasterosteus aculeatus. OD represents the number of AS variants shared only between O. brevibarba and Danio rerio To validate the accuracy of the splice isoforms detected with SMRT, we randomly selected 6 genes. We performed RT-PCR using RNAs from the liver, eye, muscular, kidney, and fin ray. The gel banding pattern and the size of the fragments were consistent with the splice isoforms identified from Iso-Seq data (Supplementary Fig. 1).

Discussion

A total of 19 valid species (subspecies) of the genus Onychostoma had been recognized globally (Yue et al. 2000; Yin and Dai 2014). Some of this species of Onychostoma were locally known to be of high economic value, even supporting a local flourishing fishery (Han et al. 2015; Song et al. 2018). However, some species of the Onychostoma have declined rapidly on account of the environmental damage and the over hunt by human (Yu et al. 2017). Besides, most of the previous researches on species of the genus focus on morphology and geographic distribution; studies on molecular biology and cell biology are lacking. More research is urgently needed to provide molecular and cell information for species identification and conservation of the diversity of the genus. In the present study, we analyzed the chromosomal numbers and karyotype, complete mitochondrial genome, and full-length transcriptome dataset of O. brevibarba. Our study could facilitate further exploration of the genomic signatures of O. brevibarba and provide potential insights into unveiling the evolutionary history of species of Onychostoma. The chromosomal numbers and karyotype can be used as markers to analyze the ploidy levels in fishes (Liu et al. 2007), and to date, the chromosomal numbers and karyotype of 7 species of Onychostoma have been studied, including those of O. simus (Yu et al. 1987), O. rara (Dai et al. 2012), O. gerlachi (Pei-Zhen 2012), O. lini (Dai 2013), O. macrolepis (Yin and Dai 2014), O. alticorpus (Han et al. 2015), and O. barbatulum (Tseng et al. 2017). All these species are diploids, and their chromosomal numbers are 50 (Table 1). In this study, 93% of the chromosomal metaphases of all the examined samples possessed 50 chromosomes, indicating that the O. brevibarba specimens were diploids with 50 chromosomes (2n = 50) (Fig. 2a). These chromosomal numbers are consistent with those of other Onychostoma species. Yet, the karyotypic formula of O. brevibarba is 14 m + 12 sm + 8 st + 16 t, which is different from that of other Onychostoma species (Fig. 2b and Table 1). These results show that the different Onychostoma species have different karyotypes, so the karyotype could be used as the chromosomal marker to identify this species. There have been multiple recent studies of the complete mitochondrial genome of Onychostoma species including O. simum (KF021233), O. barbatulum (KC896762), O. rara (KF626377), O. gerlachi (KP244449), O. lini (JQ343982) (Huang et al. 2012), O. alticorpus (NC_021473) (Cheng et al. 2014), O. macrolepis (KF999680), and O. barbatum (KT438512). Comparative analysis of the complete mtDNA sequences among O. brevibarba and other Onychostoma species has been conducted, and the results showed that the number, size, and order or arrangement of genes encoded on the mitochondrial genomes of O. brevibarba are similar to those typically found in other Onychostoma species (Tables 2 and 3). The lengths of the complete genome were all in the range of 16,589 to 16,607 bp (Table 3). The overall base composition was slightly AT rich (Table 3), and each genome contained the same 22 tRNA genes, 13 PCGs, 2 rRNA genes, and 2 main non-coding regions of the CR along with the OL. Sequence comparisons of the mitogenomes between O. brevibarba and other Onychostoma species revealed sequence similarities above 89.3% in all cases (Table 3), and the highest similarity (91.3%) was detected between O. brevibarba and O. barbatula, while the lowest (89.3%) was between O. brevibarba and O. alticorpus (Table 3). Molecular phylogeny suggests that O. brevibarba is most closely related to O. barbatula, differing by 8.7% (Fig. 2 and Table 3). These results provide further evidence that O. brevibarba is a new member of the genus Onychostoma. The complete mtDNA sequences of O. brevibarba provide fundamental data for further population genetics, conversation genetics, and captive breeding studies on this cyprinid fish species. These data will contribute to uncovering the related generic groups and the genetic and evolutionary relationships among Onychostoma in the Cypriniformes in different areas of mainland China and Asia. DNA sequencing technology has been promoting the development of life science. Recently, single-molecule long-read sequencing technology from Pacific Biosciences (PacBio) has provided an efficient approach to sequence full-length cDNA molecules, which has been successively used for whole-transcriptome profiling in some animal and plant species (Zhang et al. 2018a; Yi et al. 2018; Zhang et al. 2018b). In this study, the full-length transcriptome of O. brevibarba was firstly sequenced with using the PacBio SMRT technique and comprehensively analyzed. We aim to provide a large amount of gene information for Onychostoma that lack genomic data. Our result demonstrated that full-length RNA sequencing is an efficient technique for obtaining reliable full-length transcript sequence information in O. brevibarba. The full-length transcriptome dataset of O. brevibarba comprised 120,239 unigenes (Fig. 4 and Supplementary Table 3). Among the unigenes, 91,542 were functionally annotated. O. brevibarba inhabit in hill stream, with clear water, slow-flowing, and mixed substrate (Song et al. 2018). In this study, KEGG pathway analyses revealed that environmental information processing including signal transduction and signaling molecules and interaction are specifically enriched in O. brevibarba (Fig. 4b and Supplementary Table 4). These results may explain the possible reason for O. brevibarba in clear water. AS plays important roles in post-transcriptional regulation in eukaryotes. Although AS profiles have been well studied in higher vertebrate, they have not been well studied in fish (Tan et al. 2018b). Previous studies showed that AS was highly regulated to adapt to environmental stimuli in eukaryotes (Tan et al. 2018a, b; Fujikake et al. 2005). In this study, 26,794 (22.28%) unigenes were found to have two or more isoforms (Fig. 5 and Supplementary Table 6). Functional enrichment of top 5% AS unigenes showed that these unigenes are involved in cellular response (Fig. 5b). Our results suggest that AS may be a general mechanism of fish to adapt to the environment. A comparison between the O. brevibarba and four teleost species analyzed by Lu et al. (2010) showed that AS were widespread in teleost. In addition, the degree of conservation of AS between O. brevibarba and Danio rerio was the highest. This result indicated that closer evolutionary relationships shared larger numbers of AS gene identities (Lu et al. 2010; Kijewska et al. 2018). In summary, this is the firstly reported chromosomal numbers, karyotype, complete mitochondrial genome, and full-length transcriptome of O. brevibarba. Our study provided many new insights into cytology and molecular characteristics of O. brevibarba; it laid the foundation for further research, utilization, and protection of this species. 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1.  Heat stress induced alternative splicing in catfish as determined by transcriptome analysis.

Authors:  Suxu Tan; Wenwen Wang; Changxu Tian; Donghong Niu; Tao Zhou; Yulin Jin; Yujia Yang; Dongya Gao; Rex Dunham; Zhanjiang Liu
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2018-11-09       Impact factor: 2.674

2.  Alternative splicing regulates the transcriptional activity of Drosophila heat shock transcription factor in response to heat/cold stress.

Authors:  Nobuhiro Fujikake; Yoshitaka Nagai; H Akiko Popiel; Hiroki Kano; Masamitsu Yamaguchi; Tatsushi Toda
Journal:  FEBS Lett       Date:  2005-07-04       Impact factor: 4.124

3.  The fertility of the hybrid lineage derived from female Megalobrama amblycephala × male Culter alburnus.

Authors:  Jun Xiao; Xuewei Kang; Lihua Xie; Qinbo Qin; Zhoulin He; Fangzhou Hu; Chun Zhang; Rurong Zhao; Jun Wang; Kaikun Luo; Yun Liu; Shaojun Liu
Journal:  Anim Reprod Sci       Date:  2014-09-28       Impact factor: 2.145

4.  InterProScan 5: genome-scale protein function classification.

Authors:  Philip Jones; David Binns; Hsin-Yu Chang; Matthew Fraser; Weizhong Li; Craig McAnulla; Hamish McWilliam; John Maslen; Alex Mitchell; Gift Nuka; Sebastien Pesseat; Antony F Quinn; Amaia Sangrador-Vegas; Maxim Scheremetjew; Siew-Yit Yong; Rodrigo Lopez; Sarah Hunter
Journal:  Bioinformatics       Date:  2014-01-21       Impact factor: 6.937

5.  Transcriptome analysis reveals differentially expressed genes associated with germ cell and gonad development in the Southern bluefin tuna (Thunnus maccoyii).

Authors:  Ido Bar; Scott Cummins; Abigail Elizur
Journal:  BMC Genomics       Date:  2016-03-10       Impact factor: 3.969

6.  Comparative Studies of 5S rDNA Profiles and Cyt b Sequences in two Onychostoma Species (Cyprinidae).

Authors:  Chiao-Chuan Han; Tsair-Bor Yen; Nian-Cih Chen; Mei-Chen Tseng
Journal:  Int J Mol Sci       Date:  2015-12-11       Impact factor: 5.923

7.  Different expression patterns of sperm motility-related genes in testis of diploid and tetraploid cyprinid fish†.

Authors:  Fangzhou Hu; Kang Xu; Yunfan Zhou; Chang Wu; Shi Wang; Jun Xiao; Min Wen; Rurong Zhao; Kaikun Luo; Min Tao; Wei Duan; Shaojun Liu
Journal:  Biol Reprod       Date:  2017-04-01       Impact factor: 4.285

8.  Accurate identification and analysis of human mRNA isoforms using deep long read sequencing.

Authors:  Hagen Tilgner; Debasish Raha; Lukas Habegger; Mohammed Mohiuddin; Mark Gerstein; Michael Snyder
Journal:  G3 (Bethesda)       Date:  2013-03-01       Impact factor: 3.154

9.  Transcriptome assemblies for studying sex-biased gene expression in the guppy, Poecilia reticulata.

Authors:  Eshita Sharma; Axel Künstner; Bonnie A Fraser; Gideon Zipprich; Verena A Kottler; Stefan R Henz; Detlef Weigel; Christine Dreyer
Journal:  BMC Genomics       Date:  2014-05-26       Impact factor: 3.969

10.  Alternatively spliced variants in Atlantic cod (Gadus morhua) support response to variable salinity environment.

Authors:  Agnieszka Kijewska; Magdalena Malachowicz; Roman Wenne
Journal:  Sci Rep       Date:  2018-08-02       Impact factor: 4.379

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  1 in total

1.  Dynamic Transcriptional Landscape of Grass Carp (Ctenopharyngodon idella) Reveals Key Transcriptional Features Involved in Fish Development.

Authors:  You Duan; Qiangxiang Zhang; Yanxin Jiang; Wanting Zhang; Yingyin Cheng; Mijuan Shi; Xiao-Qin Xia
Journal:  Int J Mol Sci       Date:  2022-09-30       Impact factor: 6.208

  1 in total

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