Integrative taxonomy of genus Electrogena (Ephemeroptera: Heptageniidae): the role of innovative morphological analyses for species delimitation

0496409 - BC 2019 RIV DE eng J - Článek v odborném periodiku
Polášek, M. - Godunko, Roman J. - Rutschmann, S. - Svitok, M. - Novikmec, M. - Zahrádková, S.
Integrative taxonomy of genus Electrogena (Ephemeroptera: Heptageniidae): the role of innovative morphological analyses for species delimitation.
Arthropod Systematics & Phylogeny. Roč. 76, č. 3 (2018), s. 449-462. ISSN 1863-7221. E-ISSN 1864-8312
Institucionální podpora: RVO:60077344
Klíčová slova: Ephemeroptera * barcording * GMYC
Obor OECD: Entomology
Impakt faktor: 1.175, rok: 2018
http://www.senckenberg.de/root/index.php?page_id=8057

The easy, fast and correct identifcation of species is a crucial aspect of biology and its applications, such as biomonitoring and nature conservation. One of the groups that are common but not easily to identify are mayflies at the larval stage. In recent years, many attempts to species identifcation using modern and non-traditional methods have been made. Two different approaches are used in most cases: i) DNA taxonomy and ii) modern image processing and classifcation. In this study, we combined both to describe the intrageneric genetical and morphological variability of the Central European representatives of the genus Electrogena Zurwerra & Tomka, 1985 – one of several mayfly groups with unclear taxonomy. We compared the classical morphometric method for Electrogena species identifcation with nontraditional Fourier shape descriptor analysis. In particular, we used
Linear Discriminant Analysis and Fourier analysis to distinguish among operational taxonomic units defned by generalised mixed Yule-coalescent (GMYC) approach based on cytochrome c oxidase subunit I (cox1) barcoding gene. Our results demonstrate that the use of modern morphometric methods can signifcantly improve the proportion of correctly identifed individuals to species level. Moreover, the Fourier shape descriptor based analysis revealed with a remarkably low error rate the geographically separated sub-species within the genus Electrogena. Our fndings show the possibility of computer-aided mayfly (and possibly other insect orders) taxa identifcation based on selected body part shapes. These approaches might signifcantly improve routine invertebrate identifcation and comparability of identifcation results across different countries and/or among research teams. Better identifcation can in turn lead to higher robustness of metacommunity studies, ecological status assessment and other science and practice targeted studies based on invertebrate sampling and identifcation.
Trvalý link: http://hdl.handle.net/11104/0292616