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Molecular phylogenetic analysis of the squid family Histioteuthidae (Mollusca, Cephalopoda)

Authors :
Braid, Heather E.
Bolstad, Kat S.R.
Cherel, Yves
Fernández-Álvarez, Fernando Ángel
Judkins, Heather
Kubodera, Tsunemi
Kumar, Saji
Lischka, Alexandra
Vecchione, Michael
Villanueva, Roger
Source :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Publication Year :
2018
Publisher :
Cephalopod International Advisory Council, 2018.

Abstract

Cephalopod International Advisory Council Conference (CIAC 2018) : Cephalopod Research Across Scales: From Molecules to Ecosystems, 12-16 November 2018, St. Petersburg, Florida, USA.-- 1 page<br />Histioteuthid squids are an important part of marine food webs, being abundant in the diets of many predators. Although they represent a substantial biomass in the deep sea, their systematics are not fully understood; damaged (especially ex-gut-content) and paralarval specimens are difficult to identify morphologically, since most morphological characters presently used to distinguish species involve external photophore patterns. The purpose of this study was to test a morphological hypothesis for the division of the family Histioteuthidae into species groups using two mitochondrial genes (cytochrome c oxidase subunit I [COI] and 16S rRNA). Both the Bayesian and maximum-likelihood analyses supported the division of this family into six genera (formalising previously hypothesised species groups): Calliteuthis, Fragariateuthisgen. nov. Histioteuthis, Histiothauma, Naviagen. nov., andStigmatoteuthis. Barcode Index Numbers based on COI and 16S rRNA were used to distinguish 17 currently accepted species, and revealed up to nine additional species, including potentially new, unnamed species. A DNA barcode reference library of sequences generated in this study is available on the Barcode of Life Data Systems (BOLD), which can be used to confirm identifications or identify damaged specimens, such as those from gut contents. This study is the largest, most complete phylogenetic analysis of this family to date

Details

Database :
OpenAIRE
Journal :
Digital.CSIC. Repositorio Institucional del CSIC, instname
Accession number :
edsair.dedup.wf.001..d3f903ad805f801cbf83599be8916358