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An Integrated Approach for Microprotein Identification and Sequence Analysis
Published on: July 12, 2022
Resolving arthropod phylogeny: exploring phylogenetic signal within 41 kb of protein-coding nuclear gene sequence
Jerome C Regier1, Jeffrey W Shultz, Austen R D Ganley
1Center for Biosystems Research, University of Maryland Biotechnology Institute, College Park, Maryland 20742, USA. regier@umbi.umd.edu
Systematic Biology
|December 17, 2008
Summary
This study clarifies arthropod evolutionary relationships using extensive gene sequencing. Removing certain genetic data improved phylogenetic accuracy, highlighting the importance of data selection in evolutionary studies.
Area of Science:
- * Evolutionary Biology
- * Phylogenetics
- * Genomics
Background:
- * Understanding the evolutionary history of arthropods is crucial for deciphering their diversification.
- * Previous phylogenetic studies have faced challenges in resolving relationships among basal arthropod lineages.
- * The utility of large-scale sequence data for resolving deep evolutionary divergences is widely assumed but requires empirical validation.
Purpose of the Study:
- * To resolve phylogenetic relationships among and within the four basal arthropod lineages: Pancrustacea, Myriapoda, Euchelicerata, and Pycnogonida.
- * To evaluate the impact of sequence data quantity and quality on phylogenetic accuracy.
- * To assess the reliability of phylogenetic signal from different gene categories and analytical methods.
Main Methods:
- * Sequencing of 68 nuclear protein-coding gene regions (~41 kb/taxon) for 12 arthropod taxa and a tardigrade outgroup.
- * Phylogenetic analyses using parsimony, likelihood, and Bayesian methods on nucleotide and amino acid data.
- * Data exploration including removal of third codon positions, synonymous mutations, and gene partitioning based on evolutionary rates; sensitivity analyses and concordance selection were performed.
Main Results:
- * Monophyly of basal arthropod lineages (Pancrustacea, Myriapoda, Euchelicerata, Pycnogonida) was strongly supported across analyses.
- * Data filtering, particularly removal of compositionally heterogeneous sites and synonymous changes, improved phylogenetic signal and homogeneity.
- * Slowly evolving genes provided more consistent phylogenetic support than fast-evolving genes; removal of fast genes enhanced support for key clades like Hexapoda and Mandibulata.
Conclusions:
- * Large sequence datasets can resolve basal arthropod relationships, but data quality and analytical methods are critical.
- * Careful data selection and exclusion of problematic sites (e.g., compositionally heterogeneous ones) are essential for robust phylogenies.
- * Phylogenetic signal consistency varies among genes, with slower-evolving genes generally being more reliable for deep divergences.
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