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

journal contribution
posted on 2023-05-20, 02:40 authored by Karanovic, T, Lee, S, Lee, W

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.

History

Publication title

Invertebrate Systematics

Volume

32

Pagination

551-580

ISSN

1445-5226

Department/School

Institute for Marine and Antarctic Studies

Publisher

C S I R O Publishing

Place of publication

150 Oxford St, Po Box 1139, Collingwood, Australia, Victoria, 3066

Rights statement

Copyright 2018 CSIRO

Repository Status

  • Restricted

Socio-economic Objectives

Expanding knowledge in the biological sciences

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