Application of Modern Approaches to Species Delimitation in Freshwater Erpobdellidae (Hirudinea: Arhynchobdellida) with a New Interpretation of Their Genera

Author:

Kaygorodova Irina1ORCID

Affiliation:

1. Laboratory of Analytical and Bioorganic Chemistry, Limnological Institute SB RAS, 3, Ulan-Batorskaya St., 664033 Irkutsk, Russia

Abstract

The traditional taxonomy of freshwater invertebrates is a labor-intensive process requiring extensive knowledge and experience. In addition, this science is largely subjective, which makes its digitalization difficult. However, accurate species attribution is becoming increasingly important for environmental surveys and conservation efforts. In the 21st century, molecular biology methods have proven to be a successful tool for objectively determining biodiversity. Achieving objectivity in identifying the taxa of non-parasitic leeches of the family Erpobdellidae was the main goal of this study. To this end, various bioinformatic approaches to DNA sequence analysis have been tested. As a result, the phylogenetic diversity amounted to 47 species versus 29 morphospecies defined traditionally. The use of molecular species delimitation methods made it possible to identify seven complexes of morphologically hidden (cryptic) species and some morphological misidentifications, as well as to discover a new species from Eastern Siberia (Erpobdella sibirica) with a unique molecular diagnosis (DNA barcode). A pioneering attempt to apply the same approach to higher taxa showed that Erpobdellidae probably consists of seven genera, including the unambiguous elimination of the genus Motobdella. Obtaining quantitative and, therefore, objective data is an advantage of the molecular approach, which has proven to be effective in recognizing species and genera, at least in leeches.

Funder

Ministry of Education and Science

Publisher

MDPI AG

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3