Molecular phylogeny based on increased number of species and genes revealed more robust family-level systematics of the order Euryalida (Echinodermata: Ophiuroidea)

Okanishi, Masanori; Fujita, Toshihiko

doi:10.1016/j.ympev.2013.07.021

Cited by 33 publications

(81 citation statements)

References 47 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Recently, the micromorphology of the ossicle surface (e.g., articulation forms of lateral arm plates) have become heavily used as taxonomic characters of ophiuroids (e.g., Stöhr et al 2008; Stöhr and Muths 2010; Okanishi and Fujita 2009, 2011, 2013; Martynov 2010; Thuy and Stöhr 2011; Gondim et al 2015; Thuy and Stöhr 2016). On the other hand, internal structures of ossicles, such as radial water canals and radial nerve canals in vertebrae, have scarcely been observed and their taxonomic significance has never been discussed.…”

Section: Discussionmentioning

confidence: 99%

“…Ophiuroidea is the most diverse class in Echinodermata, comprising approximately 2100 species (Stöhr et al 2012). Among the ophiuroids, the order Euryalida, one of two orders of superorder Euryaophiurida, comprises 186 valid species (Okanishi and Fujita 2013; O’Hara et al 2017), which accounts for about 10% of the species of Ophiuroidea.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Non-destructive morphological observations of the fleshy brittle star, Asteronyx loveni using micro-computed tomography (Echinodermata, Ophiuroidea, Euryalida)

Okanishi

Fujita

Maekawa

et al. 2017

Self Cite

View full text Add to dashboard Cite

The first morphological observation of a euryalid brittle star, Asteronyx loveni, using non-destructive X-ray micro-computed tomography (µCT) was performed. The body of euryalids is covered by thick skin, and it is very difficult to observe the ossicles without dissolving the skin. Computed tomography with micrometer resolution (approximately 4.5–15.4 µm) was used to construct 3D images of skeletal ossicles and soft tissues in the ophiuroid’s body. Shape and positional arrangement of taxonomically important ossicles were clearly observed without any damage to the body. Detailed pathways inside the vertebral ossicles, lateral arm plates, and arm spines for passage of nerves and water vascular structures were observed. Inter-vertebral muscles were also observed. Forms and 3D arrangements of many important taxonomical characters of the euryalids were scrutinized by µCT in high enough resolution for taxonomic description of ophiuroids.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Non-destructive morphological observations of the fleshy brittle star, Asteronyx loveni using micro-computed tomography (Echinodermata, Ophiuroidea, Euryalida)

Okanishi

Fujita

Maekawa

et al. 2017

Self Cite

View full text Add to dashboard Cite

show abstract

“…The uncertainties in morphological species identification and discrimination have spawned and advanced the application of molecular genetic identification techniques, for example DNA barcoding [33][34][35][36][37][38]. Molecular genetic approaches have led to far more detailed and/or contrasting results on cryptic and sibling species when compared to the morphological species identification alone.…”

Section: Open Accessmentioning

confidence: 99%

Species identification of echinoderms from the North Sea by combining morphology and molecular data

et al. 2016

View full text Add to dashboard Cite

Background: Taxonomic uncertainties in the morphological species identification and taxonomic revisions in individual groups are known for all echinoderm classes. These uncertainties in morphological species identification and discrimination have spawned the application of molecular genetic identification techniques. However, as the fundamental step to allow and ensure future molecular species identification, valid and comprehensive reference library entries comprising morphological and molecular species information together with various metadata are essentially needed. In our study we compare morphological and molecular genetic species identification techniques for representatives of North Sea echinoderm classes, i.e. the Asteroidea, Ophiuroidea, Echinoidea and Holothuroidea.Methods: Individuals were sampled during different surveys in different regions of the North Sea, identified to species level based on morphological diagnostic features, and were genetically analysed using a fragment of the mitochondrial cytochrome c oxidase subunit I (COI). Results and Discussion:The morphological determination revealed 32 species including one taxon determined only to genus level. In contrast to this, the COI analysis supported 34 monophyletic clades with pronounced differences between the intra-and the inter-specific genetic variability (a barcoding gap of 4.93 %) with highest intra-specific variabilities found in the ophiuroid species Amphiura filiformis, A. chiajei and Ophiura sarsii. In 94 % of the investigated species, morphological identification and COI sequence clusters were congruent whereas for two asteroid species we found an underestimated diversity. For Astropecten irregularis, one of the most common starfish species of the North Sea, we found two distinct and possibly depth-related clades, probably sibling species, differing by 11.1-11.9 % sequence divergences (p-distances). For two starfish individuals, morphologically identified as Henricia sanguinolenta, the COI analysis revealed two monophyletic clades, of which one was classified as H. cf. oculata by comparison to published sequences. Conclusions:This newly established sequence reference library for the North Sea Echinodermata allows and ensures future molecular species identification for various life-cycle stages including juveniles and meroplanktonic larvae and provides sequences for phylogeographic studies and the detection of sibling as well as cryptic species.

show abstract

“…Okanishi et al. () and Okanishi and Fujita () successfully used 18S rRNA sequence data to reconstruct a euryalid phylogeny, and 16S rRNA data to evaluate subfamilial relationships. Here, we present data from partial mitochondrial 16S rRNA sequences and nuclear 18S rRNA sequences from 39 species representing 14 of the 18 currently accepted families.…”

Section: Introductionmentioning

confidence: 99%

Additional insights into phylogenetic relationships of the Class Ophiuroidea (Echinodermata) from rRNA gene sequences

Hunter

Brown

Hill

et al. 2016

J Zoolog Syst Evol Res

View full text Add to dashboard Cite

Ophiuroids are important benthic marine invertebrates with an unstable taxonomic history. Recent phylogenetic and morphological investigations have promoted major departures from established taxonomy. As such, additional insights into evolutionary relationships of ophiuroids are valuable. We analyzed ribosomal sequence data from a mitochondrial gene (16S rRNA) and a nuclear gene (18S rRNA) from 39 ophiuroids representing 14 of the 18 currently accepted families. Main findings from our study include support for a polyphyletic Ophiomyxidae, paraphyletic Amphiuridae, monophyletic Euryalida, a sister relationship between the Ophiactidae and Ophiotrichidae, and a clade comprised of the Amphiuridae and Amphilepididae. Relationships within the families Gorgonocephalidae, Ophiuridae, Ophiodermatidae and Ophiomyxidae are discussed.

show abstract

Molecular phylogeny based on increased number of species and genes revealed more robust family-level systematics of the order Euryalida (Echinodermata: Ophiuroidea)

Cited by 33 publications

References 47 publications

Non-destructive morphological observations of the fleshy brittle star, Asteronyx loveni using micro-computed tomography (Echinodermata, Ophiuroidea, Euryalida)

Non-destructive morphological observations of the fleshy brittle star, Asteronyx loveni using micro-computed tomography (Echinodermata, Ophiuroidea, Euryalida)

Species identification of echinoderms from the North Sea by combining morphology and molecular data

Additional insights into phylogenetic relationships of the Class Ophiuroidea (Echinodermata) from rRNA gene sequences

Contact Info

Product

Resources

About