Journal article
Higher-level phylogeny of paraneopteran insects inferred from mitochondrial genome sequences
Scientific Reports, Vol.5(8527), pp.1-10
2015
Abstract
Mitochondrial (mt) genome data have been proven to be informative for animal phylogenetic studies but may also suffer from systematic errors, due to the effects of accelerated substitution rate and compositional heterogeneity. We analyzed the mt genomes of 25 insect species from the four paraneopteran orders, aiming to better understand how accelerated substitution rate and compositional heterogeneity affect the inferences of the higher-level phylogeny of this diverse group of hemimetabolous insects. We found substantial heterogeneity in base composition and contrasting rates in nucleotide substitution among these paraneopteran insects, which complicate the inference of higher-level phylogeny. The phylogenies inferred with concatenated sequences of mt genes using maximum likelihood and Bayesian methods and homogeneous models failed to recover Psocodea and Hemiptera as monophyletic groups but grouped, instead, the taxa that had accelerated substitution rates together, including Sternorrhyncha (a suborder of Hemiptera), Thysanoptera, Phthiraptera and Liposcelididae (a family of Psocoptera). Bayesian inference with nucleotide sequences and heterogeneous models (CAT and CAT + GTR), however, recovered Psocodea, Thysanoptera and Hemiptera each as a monophyletic group. Within Psocodea, Liposcelididae is more closely related to Phthiraptera than to other species of Psocoptera. Furthermore, Thysanoptera was recovered as the sister group to Hemiptera.
Details
- Title
- Higher-level phylogeny of paraneopteran insects inferred from mitochondrial genome sequences
- Authors
- Hu Li (Author) - China Agricultural University, ChinaRenfu Shao (Author) - University of the Sunshine Coast - Faculty of Science, Health, Education and EngineeringNan Song (Author) - China Agricultural University, ChinaFan Song (Author) - China Agricultural University, ChinaPei Jiang (Author) - China Agricultural University, ChinaZhihong Li (Author) - China Agricultural University, ChinaWanzhi Cai (Author) - China Agricultural University, China
- Publication details
- Scientific Reports, Vol.5(8527), pp.1-10
- Publisher
- Nature Publishing Group
- Date published
- 2015
- DOI
- 10.1038/srep08527
- ISSN
- 2045-2322
- Copyright note
- Copyright © 2015 The Author. This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission fromthe license holder in order to reproduce thematerial. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
- Organisation Unit
- School of Science and Engineering - Legacy; University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 99449395202621
- Output Type
- Journal article
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