The phylogeny of Galerucinae (Coleoptera: Chrysomelidae) and the performance of mitochondrial genomes in phylogenetic inference compared to nuclear rRNA genes
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Accepted version
Author(s)
Type
Journal Article
Abstract
With efficient sequencing techniques, full mitochondrial genomes are rapidly replacing other widely used markers, such as the nuclear rRNA genes, for phylogenetic analysis but their power to resolve deep levels of the tree remains controversial. We studied phylogenetic relationships of leaf beetles (Chrysomelidae) in the tribes Galerucini and Alticini (root worms and flea beetles) based on full mitochondrial genomes (103 newly sequenced), and compared their performance to the widely sequenced nuclear rRNA genes (full 18S, partial 28S). Our results show that: (i) the mitogenome is phylogenetically informative from subtribe to family level, and the per‐nucleotide contribution to nodal support is higher than that of rRNA genes, (ii) the Galerucini and Alticini are reciprocally monophyletic sister groups, if the classification is adjusted to accommodate several ‘problematic genera’ that do not fit the dichotomy of lineages based on the presence (Alticini) or absence (Galerucini) of the jumping apparatus, and (iii) the phylogenetic results suggest a new classification system of Galerucini with eight subtribes: Oidina, Galerucina, Hylaspina, Metacyclina, Luperina, Aulacophorina, Diabroticina and Monoleptina.
Date Issued
2017-05-05
Date Acceptance
2017-02-20
Citation
CLADISTICS, 2017, 34 (2), pp.113-130
ISSN
0748-3007
Publisher
WILEY
Start Page
113
End Page
130
Journal / Book Title
CLADISTICS
Volume
34
Issue
2
Copyright Statement
© 2017 The Willi Hennig Society. This is the accepted version of the following article: Nie, R. , Breeschoten, T. , Timmermans, M. J., Nadein, K. , Xue, H. , Bai, M. , Huang, Y. , Yang, X. and Vogler, A. P. (2018), The phylogeny of Galerucinae (Coleoptera: Chrysomelidae) and the performance of mitochondrial genomes in phylogenetic inference compared to nuclear rRNA genes. Cladistics, 34: 113-130, which has been published in final form at https://dx.doi.org/10.1111/cla.12196
Subjects
Science & Technology
Life Sciences & Biomedicine
Evolutionary Biology
LARGE SEQUENCE DATABASES
PROTEIN-CODING GENES
FLEA BEETLES
COMPOSITIONAL HETEROGENEITY
COMPREHENSIVE ANALYSIS
HIGH-THROUGHPUT
DATA SETS
EVOLUTION
SOFTWARE
MODELS
Publication Status
Published