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Journal article
Phylogenomics resolves the higher-level phylogeny of herbivorous eriophyoid mites (Acariformes: Eriophyoidea)
BMC Biology, Vol.22, pp.1-14
2024
Abstract
Background
Eriophyoid mites (Eriophyoidea) are among the largest groups in the Acariformes; they are strictly phytophagous. The higher-level phylogeny of eriophyoid mites, however, remains unresolved due to the limited number of available morphological characters—some of them are homoplastic. Nevertheless, the eriophyoid mites sequenced to date showed highly variable mitochondrial (mt) gene orders, which could potentially be useful for resolving the higher-level phylogenetic relationships.
Results
Here, we sequenced and compared the complete mt genomes of 153 eriophyoid mite species, which showed 54 patterns of rearranged mt gene orders relative to that of the hypothetical ancestor of arthropods. The shared derived mt gene clusters support the monophyly of eriophyoid mites (Eriophyoidea) as a whole and the monophylies of six clades within Eriophyoidea. These monophyletic groups and their relationships were largely supported in the phylogenetic trees inferred from mt genome sequences as well. Our molecular dating results showed that Eriophyoidea originated in the Triassic and diversified in the Cretaceous, coinciding with the diversification of angiosperms.
Conclusions
This study reveals multiple molecular synapomorphies (i.e. shared derived mt gene clusters) at different levels (i.e. family, subfamily or tribe level) from the complete mt genomes of 153 eriophyoid mite species. We demonstrated the use of derived mt gene clusters in unveiling the higher-level phylogeny of eriophyoid mites, and underlines the origin of these mites and their co-diversification with angiosperms.
Details
- Title
- Phylogenomics resolves the higher-level phylogeny of herbivorous eriophyoid mites (Acariformes: Eriophyoidea)
- Authors
- Qi Zhang (Author) - Nanjing Agricultural UniversityYi-Wen Lu (Author) - Nanjing Agricultural UniversityXin-Yu Liu (Author) - Nanjing Agricultural UniversityYe Li (Author) - Nanjing Agricultural UniversityWei-Nan Gao (Author) - Nanjing Agricultural UniversityJing-Tao Sun (Author) - Nanjing Agricultural UniversityRenfu Shao - University of the Sunshine Coast, Queensland, Centre for BioinnovationXiao-Yue Hong (Author) - Nanjing Agricultural University
- Publication details
- BMC Biology, Vol.22, pp.1-14
- Publisher
- BioMed Central Ltd.
- Date published
- 2024
- DOI
- 10.1186/s12915-024-01870-9
- ISSN
- 1741-7007
- Copyright note
- This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
- Data Availability
- Datasets, alignments and phylogenetic trees available from Dryad Digital Repository: https://doi.org/10.5061/dryad.612jm647k. GenBank Accessions numbers are given in Additional file 1: Table S1. Original untrimmed alignments by Gblocks v0.91 are provided in Additional file 3.
- Grant note
- This research was funded by the National Natural Science Foundation of China (32161143014, 31970437, 31672337).
- Organisation Unit
- School of Science, Technology and Engineering; Centre for Bioinnovation
- Language
- English
- Record Identifier
- 991008896902621
- Output Type
- Journal article
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