A new view of insect–crustacean relationships II. Inferences from expressed sequence tags and comparisons with neural cladistics

• Published in: Arthropod structure & development Vol. 40; no. 3; pp. 289 - 302
• Main Author: Andrew, David R.
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.05.2011
• Subjects: ancestry; Animals; Arthropoda; arthropods; bioinformatics; Branchiopoda; Central Nervous System; Chelicerata; Conserved Sequence; Crustacea; Crustacea - classification; Crustacea - genetics; Expressed sequence tag; Expressed Sequence Tags; Hexapoda; Insecta - classification; Insecta - genetics; life history; Likelihood Functions; Metazoa; Myriapoda; Nervous system evolution; Pancrustacea; Phylogeny; Pycnogonida; Tetraconata; Nervous system evolution; Pancrustacea; Arthropoda; Tetraconata; Hexapoda; Phylogeny; Expressed sequence tag; Branchiopoda
• ISSN: 1467-8039; 1873-5495
• DOI: 10.1016/j.asd.2011.02.001

The enormous diversity of Arthropoda has complicated attempts by systematists to deduce the history of this group in terms of phylogenetic relationships and phenotypic change. Traditional hypotheses regarding the relationships of the major arthropod groups (Chelicerata, Myriapoda, Crustacea, and Hexapoda) focus on suites of morphological characters, whereas phylogenomics relies on large amounts of molecular sequence data to infer evolutionary relationships. The present discussion is based on expressed sequence tags (ESTs) that provide large numbers of short molecular sequences and so provide an abundant source of sequence data for phylogenetic inference. This study presents well-supported phylogenies of diverse arthropod and metazoan outgroup taxa obtained from publicly-available databases. An in-house bioinformatics pipeline has been used to compile and align conserved orthologs from each taxon for maximum likelihood inferences. This approach resolves many currently accepted hypotheses regarding internal relationships between the major groups of Arthropoda, including monophyletic Hexapoda, Tetraconata (Crustacea + Hexapoda), Myriapoda, and Chelicerata sensu lato (Pycnogonida + Euchelicerata). “Crustacea” is a paraphyletic group with some taxa more closely related to the monophyletic Hexapoda. These results support studies that have utilized more restricted EST data for phylogenetic inference, yet they differ in important regards from recently published phylogenies employing nuclear protein-coding sequences. The present results do not, however, depart from other phylogenies that resolve Branchiopoda as the crustacean sister group of Hexapoda. Like other molecular phylogenies, EST-derived phylogenies alone are unable to resolve morphological convergences or evolved reversals and thus omit what may be crucial events in the history of life. For example, molecular data are unable to resolve whether a Hexapod–Branchiopod sister relationship infers a branchiopod-like ancestry of the Hexapoda, or whether this assemblage originates from a malacostracan-like ancestor, with the morphologically simpler Branchiopoda being highly derived. Whereas this study supports many internal arthropod relationships obtained by other sources of molecular data, other approaches are required to resolve such evolutionary scenarios. The approach presented here turns out to be essential: integrating results of molecular phylogenetics and neural cladistics to infer that Branchiopoda evolved simplification from a more elaborate ancestor. Whereas the phenomenon of evolved simplification may be widespread, it is largely invisible to molecular techniques unless these are performed in conjunction with morphology-based strategies. ► Expressed sequence tags (ESTs) are used to infer arthropod phylogeny. ► Onychophora is resolved as the ecdysozoan sister group to Arthropoda. ► Hexapoda, Tetraconata (Hexapoda + Crustacea), and Chelicerata are monophyletic. ► Branchiopoda is supported as the crustacean sister group to Hexapoda. ► These results support the hypothesis that the nervous systems of extant Branchiopoda are secondarily simplified.