DNA Barcoding of Pygmy Hoppers—The First Comprehensive Overview of the BOLD Systems’ Data Shows Promise for Species Identification

Author:

Kasalo Niko1ORCID,Skejo Josip23ORCID,Husemann Martin3

Affiliation:

1. Matice hrvatske 11, 80101 Livno, Bosnia and Herzegovina

2. Evolution Lab, Division of Zoology, Department of Biology, Faculty of Science, University of Zagreb, Rooseveltov trg 6, 10000 Zagreb, Croatia

3. Zoologisches Museum Hamburg, Leibniz Institut zur Analyse des Biodiversitätswandels, Martin-Luther-King-Platz 3, 20146 Hamburg, Germany

Abstract

The COI gene is widely used as a DNA barcode in animals that can assist in the identification of species. One of the widely used aggregators of DNA barcodes is the Barcode of Life Data System (BOLD Systems), which contains around 2500 sequences of Tetrigidae, an understudied orthopteran family with unresolved taxonomy and species that are difficult to identify. In this paper, we provide a summary of the metadata provided with the COI sequences and present a phylogenetic analysis of photographically vouchered sequences using Maximum Likelihood and Bayesian analysis. We found that (1) the subfamily Tetriginae is disproportionately represented in the dataset, (2) most of the records are not identified beyond the family level, (3) most regions, except for Costa Rica, are undersampled, (4) most of the sequences do not have photographic vouchers, and (5) the taxonomic backbone of BOLD is out of date. The phylogenetic analysis showed that the clusters of COI barcodes mostly correspond to species, but some clusters remain ambiguous. The deeper nodes in the phylogenetic trees are not well-supported, indicating that this gene has a very weak phylogenetic signal beyond the specific level.

Funder

voucher

Publisher

MDPI AG

Subject

Nature and Landscape Conservation,Agricultural and Biological Sciences (miscellaneous),Ecological Modeling,Ecology

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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