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Instant taxonomy: choosing adequate characters for species delimitation and description through congruence between molecular data and quantitative shape analysis

Karanovic, T, Lee, S and Lee, W 2018 , 'Instant taxonomy: choosing adequate characters for species delimitation and description through congruence between molecular data and quantitative shape analysis' , Invertebrate Systematics, vol. 32, no. 3 , pp. 551-580 , doi: 10.1071/IS17002.

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Abstract

The lack of university funding is one of the major impediments to taxonomy, partly because traditional taxonomic training takes longer than a PhD course. Understanding ranges of phenotypic variability for different morphological structures, and their use as characters for delimitation and description of taxa, is a tedious task. We argue that the advent of molecular barcoding and quantitative shape analysis makes it unnecessary. As an example, we tackle a problematic species-complex of marine copepods from Korea and Japan, approaching it as a starting taxonomist might. Samples were collected from 14 locations and the mitochondrial COI gene was sequenced from 42 specimens. Our phylogenetic analyses reveal four distinct clades in Korea and Japan, and an additional nine belonging to a closely related complex from other parts of the Northern Pacific. Twenty different morphological structures were analysed for one Japanese and two Korean clades using landmark-based two-dimensional geometric morphometrics. Although there is no single morphological character that can distinguish with absolute certainty all three cryptic species, most show statistically significant interspecific differences in shape and size. We use five characters to describe two new species from Korea and to re-describe Tigriopus japonicus Mori, 1938 from near its type locality.

Item Type: Article
Authors/Creators:Karanovic, T and Lee, S and Lee, W
Keywords: barcoding, Copepoda, geometric morphometrics, Harpacticidae, integrative taxonomy
Journal or Publication Title: Invertebrate Systematics
Publisher: C S I R O Publishing
ISSN: 1445-5226
DOI / ID Number: 10.1071/IS17002
Copyright Information:

Copyright 2018 CSIRO

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