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. 2014 Aug 12;3:191. [Version 1] doi: 10.12688/f1000research.4996.1

SkateBase, an elasmobranch genome project and collection of molecular resources for chondrichthyan fishes

Jennifer Wyffels 1,a, Benjamin L King 2, James Vincent 3, Chuming Chen 1, Cathy H Wu 1, Shawn W Polson 1
PMCID: PMC4184313  PMID: 25309735

Abstract

Chondrichthyan fishes are a diverse class of gnathostomes that provide a valuable perspective on fundamental characteristics shared by all jawed and limbed vertebrates. Studies of phylogeny, species diversity, population structure, conservation, and physiology are accelerated by genomic, transcriptomic and protein sequence data. These data are widely available for many sarcopterygii (coelacanth, lungfish and tetrapods) and actinoptergii (ray-finned fish including teleosts) taxa, but limited for chondrichthyan fishes.  In this study, we summarize available data for chondrichthyes and describe resources for one of the largest projects to characterize one of these fish, Leucoraja erinacea, the little skate.  SkateBase ( http://skatebase.org) serves as the skate genome project portal linking data, research tools, and teaching resources.

Introduction

Chondrichthyan fishes are composed of two subclasses, Holocephali and Elasmobranchii. Holocephalans are the more basal of the pair having first appeared more than 400 million years ago and include a single surviving order, Chimaeriformes, the chimaeras, with 39 extant species 1. Elasmobranchs appeared approximately 350 million years ago and include more than 1000 species of sharks, skates, and rays 2. Chondrichthyan fishes occupy a pivotal position at the base of the vertebrate phylogenetic tree. For research that includes an evolutionary component, representation of this diverse class affords a valuable perspective to evaluate all vertebrates.

Chondrichthyan fishes are circumglobal in distribution and occupy a wide range of ecological habitats. Their life history parameters are equally disparate but in general chondrichthyans are slow growing and late maturing fishes with an increased risk of extinction 35. Fecundity is as few as 1 or 2 for viviparous species such as the sand tiger shark, Carcharias taurus 6 and as high as 300 for the whale shark, Rhincodon typus 7. They are of economic importance for fisheries as well as ecotourism. Management and assessment of stock is essential to ensure both ecotourism interests and food resources remain sustainable 8. Management of fish populations has increasingly relied on molecular tools to investigate population structure, properly identify species, and compliance with fishing quotas 913.

Elasmobranchs have been used as a model for biomedical research for more than 100 years. Elasmobranchs, like other cartilaginous fishes, exhibit many fundamental vertebrate characteristics, including a neural crest, jaws and teeth, an adaptive immune system, and a pressurized circulatory system. The skate is a powerful comparative model to study biological processes shared among jawed and limbed vertebrates such as development 1416, renal physiology 1720, immunology 2126, toxicology 27, neurobiology 28, and wound healing and regeneration 29. They are the most ancient vertebrates to posses an adaptive immune system that generates antibodies using a V(D)J combinatorial mechanism 30. Phylogenetically, cartilaginous fishes are the first vertebrates to possess a thymus, a central lymphoid organ that provides a microenvironment for the development of T cells 31. The thymus shares a common organization with more derived vertebrates containing cortical and medullary regions 32, 33.

In addition to shared physiological characteristics, the diversity of specializations between species allows investigations of evolution within a single clade. For example, elasmobranchs use a plethora of reproductive strategies that span the full range of maternal investment from placental viviparity to strict lecitrophic oviparity. Besides sexual reproduction, captive elasmobranchs are capable of asexual parthenogenesis 3436. Of these reproductive mechanisms, the most tractable for research purposes is oviparity. Approximately 43% of chondrichthyans utilize oviparity including all Chimaeriformes, Heterodontiformes (bullhead sharks), Rajoidae (skates) and Scyliorhinidae (catsharks) 37. Many species can be maintained in captivity and will breed and lay eggs throughout an annual season 38. Artificial insemination has been reported for two oviparous species, the clearnose skate, Raja eglanteria 39, and the cloudy catshark, Scyliorhinus torazame 40. Additionally, sperm storage allows wild caught females to lay eggs for several years without requiring males or captive mating events 41.

Leucoraja erinacea, the little skate, was chosen for a genome sequencing project to represent this clade of fishes because of their use as a biomedical model, experimental tractability, genome size, existing sequence data, and northeast regional distribution. The sequencing project is an ongoing effort of the North East Bioinformatics Collaborative (NEBC) of the North East Cyberinfrastructure Consortium (NECC), composed of the bioinformatics core facilities from Delaware, Maine, New Hampshire, Rhode Island, and Vermont funded by National Institutes of Health (NIH) Institutional Development Awards (IDeA) and/or National Science Foundation (NSF) Experimental Program to Stimulate Competitive Research (EPSCoR) programs.

Existing resources

There is a single order of holocephalans and 13 orders of elasmobranchs. The distribution of species in orders, families and genera is shown in Figure 1. The batoids are composed of 4 orders, Rajiiformes, Myliobatiformes, Torpidiformes, and Rhinopristiformes, and contain 54% of extant chondrichthyan species. Sharks are broadly divided into two super orders, Galeomorphii and Squalomorphii that together account for 43% of extant chondrichthyan species. The galean sharks include 4 orders: Heterdontiformes, Orectolobiformes, Lamniormes and Carcharhiniformes, and represent 30% of extant chondrichthyan species. Squalean sharks are composed of 4 orders: Squaliformes, Squatiniformes, Pristophoriformes, and Hexanchiformes, comprising 13% of extant chondrichthyan species. Among individual orders, Rajiiformes, the skates, have the most species (345) followed by Carcharhiniformes, the ground sharks (283) and Myliobatiformes (226) 2. These ‘big three’ orders contain 854 species, 72% of extant chondrichthyans.

Figure 1. Species distribution within chondrichthyan orders.

Figure 1.

There is a single order of Holocephalans, Chimaeriformes, and 13 orders of elasmobranchs. The distribution of chondrichthyan species in each of the 14 orders is shown relative to the total number of species, genera and families for the clade. The batoids are composed of 4 orders, Rajiiformes, Myliobatiformes, Torpidiformes, and Rhinopristiformes, and contain 54% of extant chondrichthyan species. Sharks are broadly divided into two super orders, Galeomorphii and Squalomorphii that together include the remaining 9 orders and 43% of extant chondrichthyan species.

Chondrichthyan conservation, management, and research all benefit from easily accessible and well-documented molecular resources. The organization of data and metadata in archival databases is critically important for efficient use of large and complex datasets. The International Nucleotide Sequence Database Collaboration (INSDC) is composed of three large public nucleotide repositories, DNA Data Bank of Japan (DDBJ), European Molecular Biology Laboratory-European Bioinformatics Institute (EMBL-EBI), and GenBank at the National Center for Biotechnology Information (NCBI). Recently, two new NCBI database projects were initiated to collect details of samples, BioSample, and project data, BioProject, and propagate the metadata to all associated database entries in an effort to expand the use of already existing and rapidly expanding molecular resources 42. Figure 2 illustrates the relationship between BioProject, BioSample and the sequence data for SkateBase. Because the BioProject and BioSample databases were established in 2012, not all existing datasets have metadata or details of the biological source to populate a BioSample and BioProject entry. When available, BioProject and BioSample hyperlinks are included for Sequence Read Archive (SRA), Expressed Sequence Tag (EST) and Genome Survey Sequence (GSS) datasets in the tables below.

Figure 2. Representation of SkateBase data within the The National Center for Biotechnology Information (NCBI) databases.

Figure 2.

A. The little skate genome project is represented as a BioProject entry that connects all samples and data thematically. A BioSample record describes the DNA sample that was used for genome sequencing that was generated from a single stage 32 skate embryo. The SRA catalogs the unassembled Illumina genome sequence data. The Whole Genome Shotgun (WGS) database contains the contiguous sequences from shotgun sequencing projects. The assembled and annotated mitochondrial genome was deposited in GenBank and subsequently included in the NCBI Reference Sequence Database (RefSeq). B. The project to characterize the embryonic transcriptomes of L. erinacea, C. milii and S. canicula is represented in a BioProject entry. Three BioSample entries, one for each species, lead to three SRA datasets. The transcriptome data is represented also in the Gene Expression Omnibus (GEO), a database of high-throughput functional genomic data derived from microarrays and next-generation sequencing technologies.

Table 1 is a summary of chondrichthyan sequence data in NCBI databases, UniProtKB, and the Protein Data Bank (PDB) with L. erinacea, Callorhinchus milii and Scyliorhinus canicula, the three species featured at SkateBase listed individually. The distribution of holocephalans and elasmobranchs in public databases is illustrated in Figure 3. Despite the majority of species belonging to Elasmobranchii, the GenBank, UniProtKB/TrEMBL, and Gene databases are dominated by chimaera data derived from the genome sequence of the elephant shark, C. milii 43. Elasmobranch data predominates in UniProtKB/Swiss-Prot, PDB, BioProject and BioSample databases as well as the number of whole mitochondrial genomes (WMG) in GenBank. The EST and SRA databases are nearly equally split between the two subclasses.

Figure 3. Holocephalan and elasmobranch resources in public nucleotide and protein databases.

Figure 3.

The distribution of data for Holocephalii (chimaeras) and elasmobranchii (sharks and rays) subclasses of chondrichthyan fishes does not always reflect their species distribution. The number of species represented in GenBank is representative of the actual species distribution but the amount of data in GenBank is not. Holocephalan data forms the majority of the NCBI Gene, GenBank, Genome Survey Sequence (GSS) and UniProt TrEMBL databases. The number of Short Reach Archive (SRA) experiments and EST sequences in nearly equal for each subclass and the remaining databases are primarily populated by elasmobranch data.

Table 1. Chondrichthyan molecular sequence data in public databases.

National Center for Biotechnology Information (NCBI) databases 1
GenBank UniProtKB 2
Taxonomy BioProject BioSample Gene GenBank WMG EST EST lib GSS GSS
lib
WGS
(Mbp)
GEO 3 SRA Swiss-
Prot
TrEMBL PDB
Chondrichthyes 7777 16 75 21069 55810 72 192948 33 28497 5 2492.3 3 22 276 26485 * 178
        Holocephali 7863 3 21 20201 39512 8 109965 6 27944 1 936.9 1 13 12 20170 0
                           C. milii 7868 3 21 20110 39232 1 109965 6 27944 1 936.9 1 13 3 19989 0
      Elasmobranchii 7778 13 54 868 16273 64 82983 27 553 4 1555.4 2 9 264 6299 178
                   L. erinacea 7782 3 7 13 284 1 31167 5 0 0 1555.4 1 2 6 123 0
                   S. canicula 7830 2 8 13 645 1 1600 7 0 0 0 1 1 38 283 1

(WMG) whole mitochondrial genome, (EST) Expressed Sequence Tags, (lib) libraries (GSS) Genome Survey Sequences, (GEO) Gene Expression Omnibus, (WGS) Whole Genome Shotgun, (SRA) Sequence Read Archive, (WMG) whole mitochondrial genomes, (PDB) Protein Data Bank, * includes 16 unidentified fin entries

1 NCBI databases accessed July 25, 2014, 2 Release 2014_07 of 09-Jul-2014, 3 GEO sample accessions

Chondrichthyan genomes

Currently there are multiple efforts to sequence an elasmobranch genome in various stages of completion ( Table 2); however, only the skate genome project currently has data publically available. Efforts to sequence the whale shark are underway at the Georgia Aquarium and Emory University (personal communication, Alistair Dove, Georgia Aquarium). Genoscope leads a project to sequence the genome of another oviparous elasmobranch, the catshark, S. canicula. The current assembly is described in Table 2. A second version of the catshark genome with 200x coverage, including mate pair sequencing, is in progress (personal communication, Sylvie Mazan, French National Centre for Scientific Research). Among holocephalans, the genome of the elephant shark, C. milii, was first described in a 1.4x coverage assembly in 2006 44. With continued sequencing the assembly coverage is currently 19.25x and data has been made available through the project website ( http://esharkgenome.imcb.a-star.edu.sg/) and Genbank 43.

Table 2. Chondrichthyan genome sequencing projects.

Website Genome
size (Gb)
Coverage Contigs N50
(bp)
Platform Facility Genbank Data 1 BioProject BioSample Date
Holocephali
       Callorhinchus milii esharkgenome 0.910 19.25x 21,203 1466 Sanger
& 454
IMCB AAVX02000000 244 M PRJNA236996 SAMN00000800 20-Dec-13 *
Elasmobranchii
         Leucoraja erinacea skatebase.org 3.42 26x 2,62,365 665 Illumina
PE
NECC AESE010000000 105 G PRJNA60893 SAMN00189066 22-Dec-11
   Scyliorhinus canicula - 3.5 32x 3,449,662 1,292 Illumina
PE
Genoscope-CEA - - - - -
             Rhincodon typus - 3.44(est.) 35x Illumina
& 454
Emory University
&
Georgia Aquarium
- - PRJNA255419 SAMN02918461
SAMN02918462
16-Jul-14

1 (M) Mega or (G) Giga base pairs; (PE) paired end; (est) estimated; (ICMB) Institute of Molecular and Cell Biology, A*STAR, (NECC) North East Cyberinfrastructure Consortium

* replaced original sequence data GenBank AAVX00000000.1 (1.4x coverage) released 20-DEC-2006

A powerful resource for characterizing genomes is large-insert clone libraries where each clone contains a large (~100kb) genomic region. Bacterial artificial chromosome (BAC) and P1-derived artificial chromosome (PAC) libraries are DNA constructs within a plasmid used to transform bacteria. As the bacteria grow the inserted DNA is amplified and subsequently isolated and sequenced. BACs are beneficial for genome sequencing projects because the insert size can be very large, nearly 350 kb, facilitating assembly post-sequencing. BAC/PAC libraries were built for several chondrichthyan species including the nurse shark, Ginglymostoma cirratum 45; elephant shark, C. milli 46; little skate, L. erinacea 47; horn shark, Heterdontus francisci 48; dogfish shark, Squalus acanthias 49, 50; and catshark, S. canicula 51. These libraries were used to successfully characterize a handful of genomic regions such as little skate HoxA cluster 47, 52, horn shark Hox A and D clusters 53, catshark HoxA, B and D clusters 51, 52, C. milii HoxA-D clusters 54, immunoglobulin receptor IgW C regions 30 and neurohypophysial gene loci 46.

RNA databases

Transcriptome sequencing seeks to characterize all genes expressed in a tissue or set of tissues in a sample. Technologies to identify the complete RNA transcript sequence have developed from studies of a small number of transcripts to comprehensive characterizations. The application of large-scale cDNA cloning of Expressed Sequence Tags (ESTs) gave initial characterizations of 5-prime and/or 3-prime ends of transcripts in several elasmobranchs including L. erinacea and S. acanthias ( Table 3). EST sequence data are available in the EST divisions of the GenBank, EMBL and DDBJ databases that make up the INSDC. cDNA clones and their sequences from these EST projects have enabled the complete characterization of the full-length cDNA sequence of several genes. In the last five years, high-throughput RNA sequencing (RNA-Seq) has been applied to comprehensively examine the complete sequence of transcripts in tissues of cartilaginous fishes. Among the most valuable RNA-Seq datasets are those from whole late-stage embryos following organogenesis. Our project has generated these datasets for L. erinacea, S. canicula and C. milii 52. Public RNA-Seq data sets can be found in the NCBI Gene Expression Omnibus and Short Read Archive (SRA) databases or the EBI ArrayExpress and European Nucleic Acid (ENA) archives ( Table 3 and Table 4).

Table 3. National Center for Biotechnology Information (NCBI) Expressed Sequence Tags (EST) and Genome Survey Sequences (GSS) databases (release 130101): Chondrichthyan sequence data.

BioSample BioSample Description Library ID Organism Sample
age/sex
Sample type ESTs Facility 1 Date
Holocephali
Chimaeriformes
182978 Whole-genome shotgun library of the elephant shark (aka
elephant fish)
GSS: LIBGSS_009694 Callorhinchus milii - testis 27944 IMCB 2004
1000678 Elephant shark full- length cDNA library from testis EST: LIBEST_027873 Callorhinchus milii - testis 29234 IMCB 2012
1000677 Elephant shark full- length cDNA library from spleen EST: LIBEST_027872 Callorhinchus milii - spleen 16664 IMCB 2012
1000676 Elephant shark full- length cDNA library from liver EST: LIBEST_027871 Callorhinchus milii - liver 16573 IMCB 2012
1000675 Elephant shark full- length cDNA library from kidney EST: LIBEST_027870 Callorhinchus milii - kidney 19246 IMCB 2012
1000674 Elephant shark full- length cDNA library from intestine EST: LIBEST_027869 Callorhinchus milii - intestine 12146 IMCB 2012
1000673 Elephant shark full- length cDNA library from gills EST: LIBEST_027868 Callorhinchus milii - gills 16012 IMCB 2012
Elasmobranchii: Batoids (rays and skates)
Torpediformes
158311 Torpedo marmorata electric organ EST: LIBEST_003755 Torpedo marmorata - electric organ 8 CNRS 2000
158310 Torpedo marmorata electric lobe EST: LIBEST_003754 Torpedo marmorata - electric lobe 26 CNRS 2000
157461 pFL61-TEL EST: LIBEST_002905 Torpedo marmorata - electric lobe 2 CNRS 2000
157406 pFL61-EL EST: LIBEST_002849 Torpedo marmorata - electric lobe 5 CNRS 2000
154382 Torpedo californica electric organ EST: LIBEST_020696 Torpedo californica - electric organ 10185 Children’s National
Medical Center,
USA
2006
Rajiformes
175126 Little Skate Multiple Tissues, Normalized EST: LIBEST_015890 Leucoraja erinacea adult mixed a 5698 MDIBL 2004
176484 Little Skate Liver, Normalized EST: LIBEST_017626 Leucoraja erinacea adult liver 6016 MDIBL 2005
165533 Little Skate embryo cell line 1 (LEE-1): 5' sequences EST: LIBEST_022984 Leucoraja erinacea embryonic
cell line
stage 28 4825 MDIBL 2006
154366 Little skate embryo tissues; 5' sequences EST: LIBEST_020422 Leucoraja erinacea embryo stage 19, 20, 25 5600 MDIBL 2006
166469 Skate Multiple Tissues, Normalized EST: LIBEST_023576 Leucoraja erinacea adult mixed a 9028 MDIBL 2008
Elasmonbranchii: Selachii (sharks)
Carcharhiniformes
168576 Dogfish testis - round spermatids zone (SSH) EST: LIBEST_025578 Scyliorhinus
canicula
adult testis 20 Caen University 2009
168575 Dogfish testis - spermatogonia zone (SSH) EST: LIBEST_025577 Scyliorhinus
canicula
adult testis 12 Caen University 2010
222714 Scyliorhinus canicula juvenile library EST: LIBEST_026904 Scyliorhinus
canicula
juvenile 5 days post-hatch 56 enoscope-CEA 2011
222713 Scyliorhinus canicula embryonic, stages 9–15 library EST: LIBEST_026903 Scyliorhinus
canicula
embryo stages 9–15 628 Genoscope-CEA 2011
222712 Scyliorhinus canicula embryonic, stages 19–25 library EST: LIBEST_026902 Scyliorhinus
canicula
embryo stages 19–25 772 Genoscope-CEA 2011
222711 Scyliorhinus canicula embryonic, stages 19–24 library EST: LIBEST_026901 Scyliorhinus
canicula
embryo stages 19–24 33 Genoscope-CEA 2011
222710 Scyliorhinus canicula adult brain library EST: LIBEST_026900 Scyliorhinus
canicula
adult brain 79 Genoscope-CEA 2011
699400 cloudy catshark embryo cDNA library EST: LIBEST_027410 Scyliorhinus
torazame
embryo stage 31 2942 RIKEN 2011
Orectolobiformes
183175 GC__Ba GSS: LIBGSS_009945 Ginglymostoma
cirratum
adult red blood cells 178 University of
Arizona
2005
184343 shark whole genome shotgun library 2 GSS: LIBGSS_011249 Chiloscyllium
plagiosum
female ventral fin 177 Tgen 2008
184342 shark whole genome shotgun library 1 GSS: LIBGSS_011248 Chiloscyllium
plagiosum
female ventral fin 194 Tgen 2008
166749 Shark liver regeneration EST: LIBEST_023789 Chiloscyllium
plagiosum
adult liver 2103 BGI 2008
176026 cDNA library of Shark hepatic regeneration tissues EST: LIBEST_017019 Chiloscyllium
plagiosum
none Hour 24 after 2/3
partial hepatectomy
17 CPU 2005
254067 Toll like receptor ligand induced Spleen EST: LIBEST_027180 Chiloscyllium
griseum
male spleen 1051 MVC 2011
254066 Spleen of Chiloscyllium griseum EST: LIBEST_027179 Chiloscyllium
griseum
male spleen 1000 MVC 2011
1797282 Suppressive subtractive hybridization library from
peptidoglycan induced spleen of the shark
EST: LIBEST_028031 Chiloscyllium
griseum
male spleen 315 MVC 2012
Squaliformes
175664 Dogfish Shark Multiple Tissues, Normalized EST: LIBEST_016552 Squalus acanthias adult mixed b 15078 MDIBL 2004
176998 Dogfish Shark Embryo-derived Cell Line SAE, Normalized EST: LIBEST_018195 Squalus acanthias embryonic
cell line
embryo with
external yolk sac
5824 MDIBL 2005
154362 Spiny dogfish shark rectal gland EST library EST: LIBEST_020417 Squalus acanthias - rectal gland 5085 MDIBL 2006
150616 Dogfish Shark Rectal Gland, Normalized EST: LIBEST_020023 Squalus acanthias adult rectal gland 6575 MDIBL 2006
Hexanchiformes
178140 Hexanchus griseus DNA (Hunter C) GSS: LIBGSS_003277 Hexanchus
griseus
- - 4 HGMP-RC 2001

1 (ICMB) Institute of Molecular and Cell Biology, A*STAR, (HGMP-RC) Human Genome Mapping Project Resource Centre, Hinxton, (Tgen) Translational Genomics Research Institute AZ, USA, (CNRS) National Center for Scientific Research, France, (MDIBL) Mount Desert Island Biological Laboratory, (CPU) China Pharmaceutical University, (MVC) Madras Veterinary College, TANUVAS, (BGI) Beijing Genomics Institute (SSH) Suppressive subtractive hybridization; (mixed a) liver, kidney, brain, testis, ovary, gill, heart, spleen, rectal gland; (mixed b) rectal gland, kidney, brain, testis, ovary, gill, intestine, heart, spleen

Table 4. National Center for Biotechnology Information (NCBI) Sequence Read Archive (SRA) database: Chondrichthyan sequence data.

BioProject BioSample SRA description SRA Organism Age Sample
type
Platform 1 Data 2 Facility 3 Date
Holocephali
PRJNA18361 SAMN00000800 454 sequencing of Callorhinchus milii
genomic fragment library
SRX001870 * Callorhinchus milii adult testis LS454 244.9 M IMCB 2008
PRJNA135005 SAMN00188955 GSM643959: Callorhinchus milii pooled
Stage 32 embryos
SRX036538 Callorhinchus milii embryos stage 32 Illumina SE 3.3 G MDIBL 2011
PRJNA168475 SAMN02699939 Illumina sequencing of elephant shark
thymus RNA
SRX220387 Callorhinchus milii - thymus Illumina PE 9.7 G IMCB 2013
PRJNA168475 SAMN02699938 Illumina sequencing of elephant shark
testis RNA
SRX154861 Callorhinchus milii - testis Illumina PE 7.3 G IMCB 2013
PRJNA168475 SAMN02699937 Illumina sequencing of elephant shark
spleen RNA
SRX154860 Callorhinchus milii - spleen Illumina PE 6.3 G IMCB 2013
PRJNA168475 SAMN02699936 Illumina sequencing of elephant shark
ovary RNA
SRX154859 Callorhinchus milii - ovary Illumina PE 7.9 G IMCB 2013
PRJNA168475 SAMN02699935 Illumina sequencing of elephant shark
liver RNA
SRX154858 Callorhinchus milii - liver Illumina PE 16.7 G IMCB 2013
PRJNA168475 SAMN02699934 Illumina sequencing of elephant shark
muscle RNA
SRX154857 Callorhinchus milii - muscle Illumina PE 11.1 G IMCB 2013
PRJNA168475 SAMN02699933 Illumina sequencing of elephant shark
kidney RNA
SRX154856 Callorhinchus milii - kidney Illumina PE 9 G IMCB 2013
PRJNA168475 SAMN02699932 Illumina sequencing of elephant shark
intestine RNA
SRX154855 Callorhinchus milii - intestine Illumina PE 11.2 G IMCB 2013
PRJNA168475 SAMN02699931 Illumina sequencing of elephant shark
heart RNA
SRX154854 Callorhinchus milii - heart Illumina PE 6.9 G IMCB 2013
PRJNA168475 SAMN02699930 Illumina sequencing of elephant shark
gills RNA
SRX154852 Callorhinchus milii - gills Illumina PE 5.4 G IMCB 2013
PRJNA168475 SAMN02699929 Illumina sequencing of elephant shark
brain RNA
SRX154851 Callorhinchus milii - brain Illumina PE 10.5 G IMCB 2013
Elasmobranchii
PRJNA60893 SAMN00189066 Initial Characterization of Leucoraja
erinacea Genome Using 500bp Paired-
End Sequencing
SRX036634 * Leucoraja erinacea embryo stage 32 Illumina PE 105 G NECC 2011
PRJNA135005 SAMN00188953 GSM643957: Leucoraja erinacea pooled
Stage 20–29 embryos
SRX036536 Leucoraja erinacea embryos stage
20–29
Illumina SE 3.8 G MDIBL 2011
PRJNA135005 SAMN00188954 GSM643958: Scyliorhinus canicula
pooled Stage 24–30 embryos
SRX036537 Scyliorhinus canicula embryos stage
24–30
Illumina SE 3.9 G MDIBL 2011
PRJDA61447 SAMD00003843 Torazame EST DRX000491 Scyliorhinus torazame embryos stage
23–31
LS454 43.6 M RIKEN 2011
PRJNA177971 SAMN01915239 Carcharodon carcharias cDNA Illumina
sequence reads
SRX228421 Carcharodon carcharias juvenile heart Illumina SE 7.9 G Cornell 2013
PRJNA177971 SAMN01915239 Carcharodon carcharias heart
transcriptome
SRX228332 Carcharodon carcharias juvenile heart LS454 408.4 M Cornell 2013
PRJNA183979 SAMN01831510 Illumina sequencing of Nurse Shark
thymus transcripts
SRX219866 Ginglymostoma cirratum - thymus Illumina PE 12 G IMCB 2013
PRJNA183979 SAMN01831509 Illumina sequencing of Nurse Shark
spleen transcripts
SRX219865 Ginglymostoma cirratum - spleen Illumina PE 11.2 G IMCB 2013
PRJNA240112 SAMN02673223 Neotrygon kuhlii barb venom gland
transcriptome
SRX481088 Neotrygon kuhlii - barb
venom
gland
Illumina PE 84.3 M LSTM 2014

* genomic data; 1 (SE) single end or (PE) paired end; 2 (M) Mega or (G) Giga base pairs

3 (MDIBL) Mount Desert Island Biological Laboratory, (ICMB) Institute of Molecular and Cell Biology, A*STAR, (LSTM) Liverpool School of Tropical Medicine, (NECC) North East Cyberinfrastructure Consortium

Mitochondrial genomes

Individual mitochondrial genes such as cytochrome c oxidase subunit I (CO1 or COX1) and NADH-ubiquinone oxidoreductase chain 2 (NADH2 or MT-ND2) have been used extensively to construct molecular phylogenies 5557. The Fish barcode of life (FISH-BOL) a working group of the International Barcode of Life Project (iBOL), has CO1 barcodes for 54% of elasmobranchs and 62% of holocephalans ( http://www.fishbol.org, accessed July 24, 2014). Recently, whole mitochondrial sequences are increasingly popular for their increased granularity when resolving branches of phylogenetic trees 1. Whole mitochondrial genome sequences currently are available for 72 species of sharks, skates, rays and chimaeras. These sequences are accessible in the GenBank, EMBL and DDBJ databases summarized in Table 5 58.

Table 5. Whole mitochondrial sequences for chondrichthyan fishes.

Accessions
BioProject NCBI Ref_seq GenBank Organism bp *G+C Date
Holocephali
Chimaeriformes
PRJNA50265 NC_014281.1 HM147135.1 Callorhinchus callorynchus 16758 34 21-Oct-10
PRJNA50271 NC_014284.1 HM147136.1 Callorhinchus capensis 16760 34.1 21-Oct-10
PRJNA50273 NC_014285.1 HM147137.1 Callorhinchus milii 16769 33.7 21-Oct-10
PRJNA11978 NC_003136.1 AJ310140.1 Chimaera monstrosa 18580 38.6 14-Nov-06
PRJNA50279 NC_014288.1 HM147138 Chimaera fulva 21336 38.2 19-Oct-10
PRJNA50287 NC_014292.1 HM147140.1 Harriotta raleighana 18024 42.5 19-Oct-10
PRJNA50283 NC_014290.1 HM147139.1 Hydrolagus lemures 21233 39.4 19-Oct-10
PRJNA50289 NC_014293.1 HM147141.1 Rhinochimaera pacifica 24889 41.6 19-Oct-10
Elasmobranchii: Batoids (rays and skates)
Myliobatiformes
PRJNA247653 NC_024102.1 KJ617038.1 Gymnura poecilura 17874 45.1 7-May-14
PRJNA239601 NC_023525.1 KF751650.1 Himantura granulata 17657 39.1 25-Feb-14
PRJNA229016 NC_022837.1 KF482070.1 Aetobatus flagellum 20201 40.9 3-Nov-13
PRJNA198706 NC_021132.1 KC526959.1 Dasyatis akajei 17658 40.4 10-Mar-14
PRJNA190131 NC_020352.2 KC196067.2
KC633222.1
Dasyatis bennetti
Dasyatis bennetti
17668
17717
40.2
40.1
22-Jul-13
20-Feb-14
PRJNA182669 NC_019643.1 JX524174.1 Dasyatis zugei 18264 36.6 24-May-13
PRJNA15549 NC_007230.1 AY597334.1 Plesiobatis daviesi 17514 41.9 20-Mar-07
PRJNA232219 NC_023116 KF709642.1 Potamotrygon motoro 17448 43.3 14-Jan-14
PRJNA177278 NC_018784.1 JX392983.1 Mobula japanica 18880 37.4 18-Jan-13
PRJNA212605 NC_021767.1 KC992792.1 Neotrygon kuhlii 18039 39.5 17-Jul-13
PRJNA182647 NC_019641.1 JX827260.1 Taeniura meyeni 17638 41.6 8-Nov-13
Rajiformes
PRJNA239623 NC_023505.2 KF318309.2 Dipturus kwangtungensis 16912 41.6 13-Mar-14
PRJNA81399 NC_016429.1 JQ034406.1 Leucoraja erinacea 16724 40.3 28-Nov-11
PRJNA13984 NC_007173.1 AY525783.1 Okamejei kenojei 16972 42.4 15-Jun-05
PRJNA11877 NC_000893.1 AF106038.1 Amblyraja radiata 16783 40.3 22-Apr-09
PRJNA214406 NC_021964 KC914434.1 Raja rhina 16910 41.4 11-Sep-13
PRJNA214407 NC_021963.1 KC914433.1 Hongeo koreana 16905 42.2 11-Sep-13
PRJNA244226 NC_023944.1 KF648508.1 Zearaja chilensis 16909 41.1 1-May-14
Rhinopristiformes
PRJNA228994 NC_022821.1 KF381507.1 Pristis clavata 16804 39.8 13-Nov-13
PRJNA229000 NC_022841.1 KF534708.1 Rhinobatos hynnicephalus 16776 40.3 13-Nov-13
PRJNA244205 NC_023951.1 KJ140136.1 Rhinobatos schlegelii 16780 39.6 6-Apr-14
Elasmonbranchii: Selachii (sharks)
Carcharhiniformes
PRJNA246074 NC_024055.1 KF728380.1 Carcharhinus acronotus 16719 38.4 29-Apr-14
PRJNA244183 NC_023948.1 KF956523.1 Carcharhinus amblyrhynchoides 16705 38.2 6-Apr-14
PRJNA239607 NC_023522.1 KF646785.1 Carcharhinus leucas 16704 37.4 25-Feb-14
PRJNA252486 NC_024284.1 KJ720818.1 Carcharhinus melanopterus 16706 38.6 7-Jun-14
PRJNA193929 NC_020611.1 KC470543.1 Carcharhinus obscurus 16706 38.6 8-Nov-13
PRJNA239626 NC_023521.1 KF612341.1 Carcharhinus sorrah 16707 38.9 25-Feb-14
PRJNA217222 NC_022193.1 KF111728.1 Galeocerdo cuvier 16703 36.9 31-Oct-13
PRJNA236275 NC_023361.1 KF646786.1 Glyphis garricki 16702 39.2 13-Jan-14
PRJNA212606 NC_021768.2 KF006312.2 Glyphis glyphis 16701 39 25-Jul-14
PRJNA239588 NC_023527.1 KF889325.1 Mustelus griseus 16754 39 25-Feb-14
PRJNA11875 NC_000890.1 AB015962.1 Mustelus manazo 16707 38.3 8-Apr-00
PRJNA228986 NC_022819.1 KF356249.1 Prionace glauca 16705 37.5 13-Nov-13
PRJNA226181 NC_022735.1 AB560493.1 Pseudotriakis microdon 16700 36.4 29-Oct-13
PRJNA168394 NC_018052.1 JQ693102.1 Scoliodon macrorhynchos 16693 37 31-Mar-14
PRJNA11849 NC_001950.1 Y16067.1 Scyliorhinus canicula 16697 38 18-Apr-05
PRJNA226138 NC_022679.1 JX827259.1 Sphyrna lewini 16726 39.5 8-Nov-13
Orectolobiformes
PRJNA163947 NC_017882.1 JQ434458.1 Chiloscyllium griseum 16755 36.1 6-Mar-12
PRJNA37667 NC_012570.1 JX162601.1 Chiloscyllium plagiosum 16725 37.4 25-Jul-12
PRJNA81281 NC_016686.1 JQ082337.1 Chiloscyllium punctatum 16703 36.8 31-Mar-14
PRJNA217221 NC_022148.1 KF111729.1 Orectolobus japonicus 16706 37.3 19-Sep-13
PRJNA238093 NC_023455.1 KF679782.1
KC633221
Rhincodon typus
Rhincodon typus
16875
16928
37.1
37.1
19-Mar-14
31-Mar-14
Lamniformes
PRJNA239610 NC_023520.1 KF569943.1 Carcharias taurus 16773 39.5 5-Feb-14
PRJNA221185 NC_022415.1 KC914387.1 Carcharodon carcharias 16744 40.8 31-Oct-13
PRJNA232870 NC_023266.1 KF597303.1 Cetorhinus maximus 16670 40.6 14-Jan-14
PRJNA226140 NC_022691.1 KF361861.1 Isurus oxyrinchus 16701 43.2 28-Sep-13
PRJNA247657 NC_024101.1 KJ616742.1 Isurus paucus 16704 43.8 7-May-14
PRJNA252473 NC_024269.1 KF962053.1 Lamna ditropis 16699 41.8 30-May-14
PRJNA207613 NC_021442.1 KC702506.1 Megachasma pelagios 16694 36.7 13-May-13
PRJNA33525 NC_011825.1 EU528659.1 Mitsukurina owstoni 17743 38.8 29-Dec-08
PRJNA228992 NC_022822.1 KF412639.1 Alopias pelagicus 16692 38.6 18-Dec-13
PRJNA207614 NC_021443.1 KC757415.1 Alopias superciliosus 16719 39.3 26-Jun-13
Heterodontiformes
PRJNA11979 NC_003137.1 AJ310141.1 Heterodontus francisci 16708 39.9 14-Nov-06
PRJNA209901 NC_021615.1 KC845548.1 Heterodontus zebra 16720 40 18-Jun-13
Squaliformes
PRJNA246067 NC_024059.1 KJ128289.1 Cirrhigaleus australis 16543 38.8 29-Apr-14
PRJNA226141 NC_022734.1 AB560492.1 Somniosus pacificus 16730 39.3 29-Oct-13
PRJNA11856 NC_002012.1 Y18134.1 Squalus acanthias 16738 38.8 18-Apr-05
Squatiniformes
PRJNA252467 NC_024276.1 KJ619663.1 Squatina japonica 16689 37.9 4-Jun-14
Pristiophoriformes
PRJNA247682 NC_024110.1 AB721306.1 Pristiophorus japonicus 18430 44.5 10-May-14
Hexanchiformes
PRJNA226134 NC_022732.1 AB560490.1 Hexanchus griseus 17223 36.3 29-Oct-13
PRJNA226149 NC_022733.1 AB560491.1 Hexanchus nakamurai 18605 36.3 29-Oct-13
PRJNA226155 NC_022730.1 AB560488.1 Heptranchias perlo 18909 35.9 29-Oct-13
PRJNA226147 NC_022729.1 AB560487.1 Chlamydoselachus anguineus 17314 35 29-Oct-13
PRJNA226123 NC_022731.1 AB560489.1 Notorynchus cepedianus 16990 38.2 29-Oct-13

*Metazoan Mitochondrial Genomes Accessible dataset Metamiga ( http://amiga.cbmeg.unicamp.br/)

Chondrichthyan Tree of Life

Currently, molecular data for cartilaginous fishes is being collected as part of the Chondrichthyan Tree of Life project ( http://sharksrays.org). The project website currently includes 5 elements: 1) an interactive phylogenetic tree 55; 2) scientific illustrations of specimens; 3) range information for all extant species; 4) interactive comparative anatomy through segmented CT scan data; and 5) DNA sequence for 1265 single copy orthologous genes 59. Project data will be available in public databases as well as through the project website once collection and analysis is complete (personal communication, Gavin Naylor, Medical University of South Carolina).

Protein databases

Given the improved technologies to characterize full-length transcripts using RNA-Seq, there are increasingly more protein sequence data for chondrichthyans. The UniProt Consortium, consists of groups from the European Bioinformatics Institute (EBI), the Swiss Institute of Bioinformatics (SIB) and the Protein Information Resource (PIR). The consortium maintains the UniProt Knowledgebase (UniProtKB), a comprehensive and standardized catalogue of protein sequences and functional annotation knowledgebase 60. Proteins with UniProtKB accessions are first automatically annotated, unreviewed UniProtKB/TrEMBL entries that progress to UniProtKB/Swiss-Prot entries following curator review. Among Chondrichthyes, there are 12 UniProtKB/Swiss-Prot and 20,170 UniProtKB/TrEMBL entries for holocephalans and 264 UniProtKB/Swiss-Prot and 6,299 UniProtKB/TrEMBL entries for elasmobranchs in Release 2014_07 of 09-Jul-2014 of the knowledgebase ( Table 1). An unidentified fin sample accounts for 16 UniProtKB/TrEMBL entries that are not included in either Holocephali or Elasmobranchii. PDB, an archive of protein macromolecular structural data, has 178 entries for Chondrichthyes, all elasmobranchs 61. Of these, 76% are derived from 2 species from a single family, Torpediniformes, the electric rays, and in total only 10 species are represented in PDB.

The distribution of data in NCBI databases, PDB, and UniProtKB for chondrichthyan orders is shown in Figure 4. When order Chimaeriformes is included ( Figure 4A) the distributions are disproportionate due to the large volume of annotated sequence data from the elephant shark genome. The distributions are repeated exclusively for elasmobranchs. To understand if the data distribution is representative of the number of species in each order, a species distribution is included in each chart. A cladogram ( Figure 4B) is linked to the chart legend and illustrates the phylogeny between chondrichthyan orders.

Figure 4. A survey of public data and phylogeny for chondrichthyan orders.

Figure 4.

A. The 14 orders of chondrichthyan fish and their relative distribution in public nucleotide and protein databases for Chondrichthyes and Elasmobranchii are shown individually. The species distribution for each Order and GenBank are similar indicating sequence data has been collected for a broad range of chondrichthyans. For Chondrichthyes, the elephant shark genome project data contributes the majority of the data in NCBI Gene, GenBank, Genome Survey Sequence (GSS), and the Short Reach Archive (SRA) databases. The NCBI GSS, GSS libraries, and Protein Data Bank (PDB) are the least diverse with representation of 1–6 of the 14 Orders. The color of each Order as represented in the bar chart is included in the cladogram key with left to right in the bar chart corresponding with top to bottom in the cladogram. B. A cladogram of Chondrichthyes illustrates the phylogeny relationship between the 14 Orders. The color code associated with each Order appears consecutively in the bar chart.

SkateBase

SkateBase ( http://skatebase.org) is the public portal for the little skate genome project and is a valuable collection of data and learning resources. The NEBC little skate genome project team hosted three week-long workshops and a mitochondrial genome annotation jamboree with the goal of using the project data to develop a bioinformatics aware workforce and foster collaborative and distributed big data research. The lecture materials and worked annotation examples are included at SkateBase for educational use ( http://skatebase.org/workshops). The project vitae contains an overview and timeline of the genome project effort along with key personnel, project related publications and presentations, the curation team, and citation information for researchers utilizing the resource in their publication. A Gene Table currently represents manually curated genes derived from workshops and curriculum with extensive annotation evidence. The number of gene entries will continue to grow through usage and expansion of the SkateBase educational modules. Plans to update the annotation interface to enable community annotation by domain experts is planned for the future.

SkateBase provides links to web resources with chondrichthyan data including the Chondrichthyan Tree of Life, Elephant Shark Genome Project ( http://esharkgenome.imcb.a-star.edu.sg), the first described genome for a chimaera 43, and Vertebrate TimeCapsule, ( http://transcriptome.cdb.riken.go.jp/vtcap), a project that aims to develop a gene database to represent evolution and development for vertebrates and currently includes transcriptome data for a hagfish ( Eptatretus burger), shark ( S. torazame) and birchir ( Polypterus senegalus) 62. SkateBase data is linked locally as well as from NCBI in the Gene Expression Omnibus (GSE26235), GenBank (AESE010000000) and Sequence Read Archive (SRA026856) to ensure convenient and easy access. A link to the American Elasmobranch Society ( http://www.elasmo.org), a non-profit organization with the mission of advancing the scientific study of living and fossil sharks, skates, rays, and chimaeras and promoting education, conservation, and wise utilization of natural resources, connects domain scientists to the little skate genome project.

SkateBase data includes embryonic transcriptomes for three chondrichthyan species, a chimaera, C. milii, a shark, S. canicula and the little skate, L. erinacea as well as the first draft of the little skate genome. The assembled skate genome sequence gave a single high-coverage contiguous sequence that represented the entire length of the mitochondrial genome. The mitochondrial genome was subsequently annotated as part of a Jamboree in 2011 63. The annotated sequence is represented by the NCBI Reference Sequence (RefSeq) project, accession NC_016429, and provides extensive information for each gene.

Whole embryos were used to build the transcriptome libraries available at SkateBase 35. Two C. milii embryos, stage 32, were combined and used to build a chimaera library. The transcriptome library for S. canicula was assembled from six pooled embryos, stages 24–30. The embryonic skate transcriptome library was assembled using six pooled embryos ranging in stage from 20–29. This combination of stages encompasses a large portion of the developmental period for these fishes and represents a catalog of genes important for organogenesis of all or part of every physiological system. Early developmental events are similar for nearly all elasmobranchs regardless of reproductive mode or adult body form enabling the data to be useful for more than just the specific species from where it was derived 64. Since all three embryonic transcriptomes contain a similar stage embryo direct comparison for temporal expression patterns is possible. Skatebase includes tools for data investigation, SkateBLAST, a sequence retrieval tool, Skate Contig Lookup, and genome browsers for three skate whole mitochondrial sequences, L. erinacea, the thorny skate, Amblyraja radiata, and, the ocellate spot skate, Okamejei kenojei. Skatebase contains resources that can be used for teaching and research purposes. As an example, two use cases follow, one for sequence or homology based research and the other for education.

SkateBLAST

A common task for researchers is searching for genes of interest in a genome or transcriptome. Knowledge of the gene sequence at the DNA or RNA level is needed for many different studies, including phylogenetic analysis or designing primers for quantitative PCR gene expression studies. Here we describe the major steps necessary to identify relevant sequences for a gene of interest using the BLAST sequence similarity tool at SkateBase. SkateBase features a web interface to BLAST, named SkateBLAST, that builds upon the ViroBLAST package version 2.2 65, with custom modifications allowing parallel cluster-based execution of queries and enhanced display of results. The overall workflow consists of a) entering a query sequence and selecting the database to search; b) evaluating the alignments returned; c) retrieving the sequence from one of the SkateBLAST databases; and d) checking to make sure that the retrieved sequence aligns best to the query sequence. The following description provides a brief tutorial on the overall workflow while describing tools at SkateBase.

Figure 5 demonstrates the use of SkateBLAST to find expressed sequences for the gene, suppressor of cytokine signaling 6 ( SOCS6). SOCS6 is a E3 ubiquitin ligase that interacts with c-KIT to suppress cellular proliferation through its SH2 domain 66. The first step to identify SOCS6 in the skate transcriptome begins with entering the protein sequence for human SOCS6 that was obtained from UniProt and searching this sequence against the skate transcriptome using the tblastn program. The next step is to evaluate the alignments to determine which transcriptome sequences best represent SOCS6. When interpreting the pairwise alignments from SkateBlast as in any BLAST tool, it is important to examine: a) alignment statistics; b) alignment coverage; and c) presence of protein domains that you may expect to be conserved. The alignment statistics are reported to ascertain whether you would expect the given alignment by chance or not. There are three key alignment statistics, the expectation (E)-value, percent identity and alignment length. The E-value represents the probability that you would expect an alignment with that alignment score or better by random chance, thus the lower the E-value, the better the alignment. Conversely, the greater the percent identity (percent identical sequence) and alignment length, the more similar the two sequences are assumed to be. Alignment coverage with respect to the query or subject sequence (alignment length divided by the length of the query or subject sequence) can also be an important consideration, as low coverage suggests that important regions of one or both sequences may not be represented in the alignment. Finally, there may be particular sequence features, such as protein domains, that you would expect to find in the alignment. If those domains are missing, then it suggests that you have a partial or misleading alignment.

Figure 5. Example of using SkateBase and NCBI resources to find transcriptome data for SOCS6.

Figure 5.

A. SkateBLAST query form showing the four steps to align the UniProt sequence for human SOCS6 (O14544) against the skate embryonic transcriptome using tblastn. Step 1 is to enter the sequence in FASTA format. The second step is to choose the tblastn program that will align the query protein sequence against translated sequences in all six possible reading frames. The third step is to select the embryonic transcriptome as the sequence database to search. The fourth step is to launch the search. B. The complete BLAST output can be accessed by clicking the “Inspect BLAST output” link at the top of the summary report page. This is necessary to examine the sequence alignments. C. Four important fields in the output should be examined carefully to interpret the alignments and determine which returned alignment best represents the skate ortholog to SOCS6. First, the alignment score, E-value, alignment length and percent identity can be used to interpret the overall alignment significance. Alignment coverage with respect to the query protein sequence and the subject transcriptome sequence can be interpreted by comparing the alignment coordinates to the length of the query protein sequence and length of the transcriptome sequence. In this example, the entire query protein sequence is covered by this transcriptome sequence. D. The SkateBase Contig Lookup tool can be used to retrieve the transcriptome sequence found in the SOCS6 tblastn search in FASTA format. Sequences from the skate genome assembly or the skate, S. canicula or C. milii transcriptome assemblies can be retrieved using this tool. E. Output from the NCBI ORF Finder tool showing a 536aa ORF in the skate transcriptome contig that best represents SOCS6 (left). Alignment from blastx search of the skate transcriptome sequence (contig 15542) against human UniProt using NCBI BLAST to validate that the contig aligned best to human SOSC6 rather than another human gene.

Once a transcriptome sequence of interest, such as contig15542, is identified in the SkateBLAST results, you must do a reciprocal search of that sequence against a database of protein sequences to confirm that the sequence aligns best to your gene of interest. You can retrieve the full sequence directly from the BLAST tool or using the Skate Contig Lookup tool ( Figure 5D): a) specify the transcriptome that you had originally searched using SkateBLAST; b) enter the sequence identification or contig number is entered into the query box; and c) select the ‘GO’ button. The user can copy the returned sequence and use it for further exploration of sequence homology at NCBI or similar databases.

SkateBase classroom use case: teach concepts of gene and protein annotation

SkateBase includes valuable teaching resources derived from the project workshops on gene and protein annotation. Infrastructure for sequence annotation was developed and modules for use in teaching are available. Access to the teaching modules is through the Curator Access link from the homepage and permission is granted by request using the email link at the bottom of each page, info@SkateBase.org. Once successfully logged into the site, access to pre-computed blast results, guides and examples, annotation forms, and links to external tools helpful for sequence analysis are available. Gene annotation begins with a transcriptome contig identified through a SkateBlast search as illustrated above. The portion of the transcript that codes for protein is identified using an open reading frame or ORF finder tool. Annotation follows a workflow where complimentary sequences from the transcriptome and genome are aligned allowing annotation of both sequences using Sequence Ontology vocabulary 67. The evidence is recorded in an annotation form that records information about the annotator and sequences and includes a comment box for questions and comments between students and teachers or curators and annotators. The annotation form records the pairwise alignment of the transcriptome and genome contigs, notes concerning mismatches or gaps, as well as output from the ORF tool. The untranslated regions (UTR) at the beginning and end of each sequence, 5’UTR and 3’ UTR regions, as well as the intron/exon structure for the genomic contig and CDS for the transcriptomic contig are recorded in the Gene Annotation Form. When completing the Gene Annotation Form, the appropriate activity must be selected and can be customized to specify the user’s course ID, institution or workshop title to track annotation history. Protein annotation uses the rapid annotation interface for proteins, RACE-P, developed by the PIR. A UniProt accession number is required to initiate a new annotation form. The form is composed of 6 blocks of information, protein information, gene information, a bibliography, Gene Ontology (GO), computational analysis using tools such as Pfam 68, TMHMM 69, SignalP 70, COILS 71, NetPhos 72 and EMBOSS 73, and protein family evidence.

Discussion

The volume of data in GenBank continues to grow exponentially, doubling nearly every 18 months. The first sequences for chondrichthyes appeared in 1983 and the overall data trend for chondrichthyans is similar to all of GenBank with three exceptions. First, the rate of increase is less than GenBank. Second, the number of sequences deposited during the first decade of the 21 st century was nearly stagnant in comparison. Third, a large spike is observed in late 2012 attributed to the Elephant Shark Genome Project data ( Figure 6). Molecular data is increasingly important for all aspects of research utilizing chondrichthyan fishes 74. It can be a forensic tool to understand species when fins are landed without carcass and ensure protected species and quotas are respected 7579. For migrating species molecular data serves as a surrogate to classical tagging data to understand population structure and range 8083. In studies of evolution, molecular data provides estimates of divergence time and supplements morphological and ecological traits as the basis for a phylogeny. The benefits and uses of molecular data for these fishes are limited only by the amount of data available. SkateBase provides the only genomic data publically available for an elasmobranch in addition to embryonic transcriptomes, data tools, and educational resources.

Figure 6. GenBank and WGS data trends for Chondrichthyes and all taxa.

Figure 6.

GenBank is the National Institutes of Health (NIH) genetic sequence database and together with the DNA Databank of Japan (DDBJ) and the European Molecular Biological Laboratory (EMBL) comprise the International Nucleotide Sequence Database Collaboration (INSDC). The cumulative base pair total for all taxa as well as chondrichthyan only data are given versus time for GenBank and Whole Genome Shotgun (WGS) data. The Elephant Shark Genome Project is responsible for the spike in chondrichthyan GenBank in 2011. The little skate and elephant shark genome projects are currently the only two WGS datasets (yellow line).

Sequencing projects require significant funding and personnel commitments but generate a large amount of information that can be translated to knowledge by domain experts. The efficiency of this process is affected most by allowing the scientific community to access the data. The value of data sharing can be measured by the number of publications that result from its distribution. To date, 19 publications in peer-reviewed journals have used data derived from SkateBase ( http://skatebase.org/vitae). Molecular data are the means to investigate genes and develop reagents for gene expression studies by PCR or in situ hybridization. Small scale sequencing efforts that generate limited or fragmented data often get deposited to hard disks and remain ‘buried’ and out of reach. Efforts to deposit this data at public sequence repositories are encouraged to build the foundation of data required to describe this dynamic and ancient clade of fishes. We invite investigators to contact the authors in an effort to survey the volume of private data available for potential distribution through SkateBase.

The transcriptome data at SkateBase serves as a platform to teach molecular techniques, technologies, and bioinformatics in the context of studying elasmobranchs. As next generation sequencing (NGS) technologies evolve it is important for scientists and students to understand how the sequence was generated and caveats of workflow for each data type in order to recognize errors and customize analysis algorithms. The educational materials and infrastructure at SkateBase have been used by University of Delaware, Georgetown University, MDI Biological Laboratory, University of Maine at Machias, University of Rhode Island, and most recently the Virginia Institute of Marine Science to teach gene and protein annotation concepts. We invite and look forward to continued expansion of the SkateBase educational platform as we refine the infrastructure and expand the data available for investigation through continued sequencing efforts.

Acknowledgements

The authors thank the North East Bioinformatics Collaborative of the North East Cyberinfrastructure Consortium and Karl Steiner and Steven Stanhope of DE-INBRE, Patricia Hand of ME-INBRE, and Judith VanHouten of VT-INBRE. We thank the Delaware Biotechnology Institute (DBI) for hosting the website, database and NECC Shared Data Center. We thank Karol Miaskiewicz for systems administration support and Gang Li and Zhiwen Li for web development. We thank Bruce Kingham and the DBI Sequencing and Genotyping Center. Sylvie Mazan, Alistair Dove, Dave Ebert, Cecelia Arighi, Qinghua Wang, James Sulikowski and Eric Haenni contributed data, samples, artwork or editorial comments. We thank Gavin Naylor and the Chondrichthyan Tree of Life project team including Lindsay Marshall (illustrations), Jason Davies (database, computational work, and visualizations), Will White and Peter Last (maps and taxonomy), Shannon Corrigan and Lei Yang (gene capture data), and Callie Crawford and Thomas Fussell (CT scanning and anatomy) for providing a description of the project scope.

Funding Statement

This work was supported by a re-entry career award to JTW, National Institute of General Medical Sciences (NIGMS) IDeA Networks of Biomedical Research Excellence (INBRE) 3P20GM103446-12S1. Skate genome sequencing was funded by National Institutes of Health (NIH) National Center for Research Resources (NCRR) ARRA Supplements to 5P20RR016463-12 (MDIBL), 5P20RR016472-12 (UD), and 5P20RR16462 (UVM). The North East Cyberinfrastructure Consortium (NECC) is funded by NIH NCRR grants 5P20RR016463-12 (MDIBL), 5P20RR016472-12 (UD), 5 P20 RR16462 (UVM), 5P20RR016457-11 (URI), and 5P20RR030360-03 (UNH) and NIH NIGMS grants 8 P20 GM103423-12 (MDIBL), 8P20GM103446-12 (UD), 8P20GM103449 (UVM), 8 P20 GM103430-11 (URI), and 8P20GM103506-03 (Dartmouth), and NSF Experimental Program to Stimulate Competitive Research (EPSCoR) grants EPS-0904155 (UM), EPS-081425 (UD), EPS-1101317 (UVM), EPS-1004057 (URI), and EPS-1101245 (UNH).

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F1000Res. 2014 Sep 1. doi: 10.5256/f1000research.5333.r5798

Referee response for version 1

Ed Heist 1

This manuscript has two components: a description of current genomic, proteomic, and transcriptomic resources for chondrichthyan fishes and a description of the SkateBase project.  Of the two, I would rather have seen more emphasis on SkateBase since the rate at which new data are being generated will make the survey data presented in the manuscript increasingly incomplete.  Nevertheless I think it is a good paper worthy of publication and SkateBase seems to be a valuable resource.

Specific comments include:

Abstract – capitalize Sarcopterygii, Actinopterygii misspelled.  Throughout the manuscript there are numerous inconsistencies in capitalization, e.g. “order Chimaeriformes” and “Fish barcode of life (FISH-BOL) a working group of the International Barcode of Life Project (iBOL)” both on page 8.

Introduction – In the first sentence replace “Chondrichthyan fishes” with “Living chondrichthyan fishes.”

Paragraph 2 – The text implies that the only benefits of chondrichthyans are ecotourism and fisheries.  Perhaps a mention of ecological services (e.g. food-web dynamics) or other benefits of chondrichthyan conservation would be appropriate here.

Paragraph 4 – “asexual” parthenogenesis seems redundant.

Paragraph 5  – perhaps some more details on the distribution, life history, reproductive mode, genome size etc. of little skate is in order.  Why is the geographic location of the species relevant?

Figure 1 is hard for me to decipher.  I can’t figure out what the two separate outer rings indicate and why the spacing between them is different for the orders vs. the families, genera, and species.  I really think this figure is too complex and tries to cram too much information that is peripheral to the goals of the paper into a single figure.  I may be old fashioned, but I think a table that listed the numbers of families, genera, and species would have been sufficient.  There also needs to be a citation on the source of the information as the taxonomy and number of recognized species of chondrichthyans is changing. 

Figure 4B – A citation is needed for the cladogram.

I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2014 Aug 26. doi: 10.5256/f1000research.5333.r5793

Referee response for version 1

Kevin Feldheim 1

The authors describe a publicly accessible database SkateBase, a public site for the little skate genome project. This paper is well written, and I have just a few comments and suggestions:

 

  • Why was the little skate picked for genome size? Is it small and manageable? Is it a typical size compared to other chondrichthyans?

  • Page 3, 1 st column: change “compliance with fishing quotas” to “maintain compliance with fishing quotas”.

  • Page 3, 2 nd column: Heterodontiformes is misspelled (Heterdontiformes).

  • Page 3, 2 nd column: Lamniformes is misspelled (Lamniormes).

  • Page 3, under “Existing resources” I suggest including Chimaeriformes here as well.

  • Page 7: Heterodontus is misspelled ( Heterdontus).

  • Page 8: species name for hagfish should be burgeri (not burger).

  • Page 8: The last three sentences under the “Protein databases” section can be incorporated into the legend for Figure 4.

  • Page 8: bichir is misspelled (birchir).

  • Page 8: change “SkateBase data is linked” to “SkateBase data are linked” and “SkateBase data includes” to “SkateBase data include”.

  • Page 19, 1 st column: change “this data” to “these data”.

 

Figures and Tables:

 

  • In the figure 1 legend — most of this information is stated in the text. I suggest keeping the sentence: “The distribution of chondrichthyan species in each of the 14 orders is shown relative to the total number of species, genera and families for the clade.” I also suggest explaining the figure in a little more detail. What do the numbers mean? Do the colors represent anything?

  • Figure 2 legend: “is” should not be italicized.

  • Table 1: What do the numbers in the columns mean? Are these numbers of entries?

  • Table 2: Contigs for L. erinacea is 2,62,265. Also, under N50, change 1466 to 1,466.

  • Figure 4: It is difficult to tell apart colors for the following pairs:

    • Squatiniformes and Carcharhiniformes
    • Lamniformes and Myliobatiformes
    • Chimaeriformes and Rajiiformes
  • This can be rectified by using black, white and yellow for three of the above orders in the figure.

  • Figure 5 legend: I suggest changing “Four important fields in the output should be examined carefully to interpret the alignments and determine which returned alignment best represents the skate ortholog to SOCS6. First, the alignment score, E-value, alignment length and percent identity can be used to interpret the overall alignment significance.” to “Four important fields in the output should be examined carefully to interpret the alignments: the alignment score, E-value, alignment length and percent identity.”

I have read this submission. I believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.


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