Literature DB >> 18992830

Arachnid relationships based on mitochondrial genomes: asymmetric nucleotide and amino acid bias affects phylogenetic analyses.

Susan E Masta1, Stuart J Longhorn, Jeffrey L Boore.   

Abstract

Phylogenetic analyses based on mitochondrial DNA have yielded widely differing relationships among members of the arthropod lineage Arachnida, depending on the nucleotide coding schemes and models of evolution used. We enhanced taxonomic coverage within the Arachnida greatly by sequencing seven new arachnid mitochondrial genomes from five orders. We then used all 13 mitochondrial protein-coding genes from these genomes to evaluate patterns of nucleotide and amino acid biases. Our data show that two of the six orders of arachnids (spiders and scorpions) have experienced shifts in both nucleotide and amino acid usage in all their protein-coding genes, and that these biases mislead phylogeny reconstruction. These biases are most striking for the hydrophobic amino acids isoleucine and valine, which appear to have evolved asymmetrical exchanges in response to shifts in nucleotide composition. To improve phylogenetic accuracy based on amino acid differences, we tested two recoding methods: (1) removing all isoleucine and valine sites and (2) recoding amino acids based on their physiochemical properties. We find that these methods yield phylogenetic trees that are consistent in their support of ancient intraordinal divergences within the major arachnid lineages. Further refinement of amino acid recoding methods may help us better delineate interordinal relationships among these diverse organisms.

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Year:  2008        PMID: 18992830     DOI: 10.1016/j.ympev.2008.10.010

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  26 in total

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Authors:  Juliette Arabi; Mark L I Judson; Louis Deharveng; Wilson R Lourenço; Corinne Cruaud; Alexandre Hassanin
Journal:  J Mol Evol       Date:  2012-02-24       Impact factor: 2.395

2.  Description of new mitochondrial genomes (Spodoptera litura, Noctuoidea and Cnaphalocrocis medinalis, Pyraloidea) and phylogenetic reconstruction of Lepidoptera with the comment on optimization schemes.

Authors:  Xinlong Wan; Min Jee Kim; Iksoo Kim
Journal:  Mol Biol Rep       Date:  2013-09-22       Impact factor: 2.316

3.  Phylogenetic position of the acariform mites: sensitivity to homology assessment under total evidence.

Authors:  Almir R Pepato; Carlos E F da Rocha; Jason A Dunlop
Journal:  BMC Evol Biol       Date:  2010-08-02       Impact factor: 3.260

4.  What is the phylogenetic signal limit from mitogenomes? The reconciliation between mitochondrial and nuclear data in the Insecta class phylogeny.

Authors:  Gerard Talavera; Roger Vila
Journal:  BMC Evol Biol       Date:  2011-10-27       Impact factor: 3.260

5.  Comparative mitogenomics of Braconidae (Insecta: Hymenoptera) and the phylogenetic utility of mitochondrial genomes with special reference to Holometabolous insects.

Authors:  Shu-jun Wei; Min Shi; Michael J Sharkey; Cornelis van Achterberg; Xue-xin Chen
Journal:  BMC Genomics       Date:  2010-06-11       Impact factor: 3.969

6.  Ecdysozoan mitogenomics: evidence for a common origin of the legged invertebrates, the Panarthropoda.

Authors:  Omar Rota-Stabelli; Ehsan Kayal; Dianne Gleeson; Jennifer Daub; Jeffrey L Boore; Maximilian J Telford; Davide Pisani; Mark Blaxter; Dennis V Lavrov
Journal:  Genome Biol Evol       Date:  2010-07-12       Impact factor: 3.416

7.  New views on strand asymmetry in insect mitochondrial genomes.

Authors:  Shu-Jun Wei; Min Shi; Xue-Xin Chen; Michael J Sharkey; Cornelis van Achterberg; Gong-Yin Ye; Jun-Hua He
Journal:  PLoS One       Date:  2010-09-15       Impact factor: 3.240

8.  Taxonomic revision of the tarantula genus Aphonopelma Pocock, 1901 (Araneae, Mygalomorphae, Theraphosidae) within the United States.

Authors:  Chris A Hamilton; Brent E Hendrixson; Jason E Bond
Journal:  Zookeys       Date:  2016-02-04       Impact factor: 1.546

9.  Six-State Amino Acid Recoding is not an Effective Strategy to Offset Compositional Heterogeneity and Saturation in Phylogenetic Analyses.

Authors:  Alexandra M Hernandez; Joseph F Ryan
Journal:  Syst Biol       Date:  2021-10-13       Impact factor: 15.683

10.  Complete mitochondrial genome of the free-living earwig, Challia fletcheri (Dermaptera: Pygidicranidae) and phylogeny of Polyneoptera.

Authors:  Xinlong Wan; Man Il Kim; Min Jee Kim; Iksoo Kim
Journal:  PLoS One       Date:  2012-08-06       Impact factor: 3.240

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