Literature DB >> 24929245

Incongruence among different mitochondrial regions: a case study using complete mitogenomes.

Kelly A Meiklejohn1, Melany J Danielson1, Brant C Faircloth2, Travis C Glenn3, Edward L Braun1, Rebecca T Kimball4.   

Abstract

Mitochondrial sequences have long been used to examine vertebrate phylogenetic relationships. The extensive use of mitochondrial data reflects the ease of obtaining mitochondrial sequences and its relatively rapid coalescence time. Mitochondrial genomes typically do not undergo recombination, so the entire mitogenome should have the same underlying gene tree. Thus, given appropriate analyses, conflict among estimates of phylogeny from different mitochondrial regions should not exist. However, estimates of phylogeny based upon different mitochondrial regions can exhibit incongruence. Conflict in phylogenetic signal among mitochondrial regions has been observed in galliform birds for the position of the Odontophoridae (New World quail). To explore this, we expanded sampling to 47 galliform mitogenomes, adding six new mitogenomes, which included representatives of two previously unsampled families. Analyses of complete mitogenomes recovered a well-supported topology that was congruent with expectations from multi-locus studies. However, when analyzing individual regions, we found conflicting positions for the Odontophoridae and several other relationships at multiple taxonomic levels. We tested multiple analytical strategies to reduce incongruence among regions, including partitioning by codon position, using mixture and codon-based models, RY coding, and excluding potentially misleading sites. No approach consistently reduced the conflict among mitochondrial regions at any taxonomic level. The biological attributes of both strongly misleading and non-misleading sites were essentially identical. Increasing taxa actually appeared to increase conflicting signal, even when taxa were selected to break up long branches. Collectively, our results indicate that analyzing mitochondrial data remains difficult, although analyzing complete mitogenomes resulted in a good estimate of the mitochondrial gene tree.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Codon models; Galliformes; Mixture models; Noise reduction; Taxon sampling

Mesh:

Substances:

Year:  2014        PMID: 24929245     DOI: 10.1016/j.ympev.2014.06.003

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


  15 in total

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Journal:  Proc Biol Sci       Date:  2014-09-07       Impact factor: 5.349

2.  Phylogeny of caucasian rock lizards (Darevskia) and other true lizards based on mitogenome analysis: Optimisation of the algorithms and gene selection.

Authors:  Marine Murtskhvaladze; David Tarkhnishvili; Cort L Anderson; Adam Kotorashvili
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3.  Ultraconserved Elements Sequencing as a Low-Cost Source of Complete Mitochondrial Genomes and Microsatellite Markers in Non-Model Amniotes.

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Journal:  PLoS One       Date:  2015-09-17       Impact factor: 3.240

4.  Phylogenetic inference of calyptrates, with the first mitogenomes for Gasterophilinae (Diptera: Oestridae) and Paramacronychiinae (Diptera: Sarcophagidae).

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Authors:  Chaochao Yan; Biqin Mou; Yang Meng; Feiyun Tu; Zhenxin Fan; Megan Price; Bisong Yue; Xiuyue Zhang
Journal:  PLoS One       Date:  2017-07-25       Impact factor: 3.240

7.  Microevolution of the noble crayfish (Astacus astacus) in the Southern Balkan Peninsula.

Authors:  Anastasia Laggis; Athanasios D Baxevanis; Alexandra Charalampidou; Stefania Maniatsi; Alexander Triantafyllidis; Theodore J Abatzopoulos
Journal:  BMC Evol Biol       Date:  2017-05-30       Impact factor: 3.260

8.  Mitochondrial Architecture Rearrangements Produce Asymmetrical Nonadaptive Mutational Pressures That Subvert the Phylogenetic Reconstruction in Isopoda.

Authors:  Dong Zhang; Hong Zou; Cong-Jie Hua; Wen-Xiang Li; Shahid Mahboob; Khalid Abdullah Al-Ghanim; Fahad Al-Misned; Ivan Jakovlić; Gui-Tang Wang
Journal:  Genome Biol Evol       Date:  2019-07-01       Impact factor: 3.416

9.  Adaptation of the Mitochondrial Genome in Cephalopods: Enhancing Proton Translocation Channels and the Subunit Interactions.

Authors:  Daniela Almeida; Emanuel Maldonado; Vitor Vasconcelos; Agostinho Antunes
Journal:  PLoS One       Date:  2015-08-18       Impact factor: 3.240

10.  Genome Sequence of Peacock Reveals the Peculiar Case of a Glittering Bird.

Authors:  Shubham K Jaiswal; Ankit Gupta; Rituja Saxena; Vishnu P K Prasoodanan; Ashok K Sharma; Parul Mittal; Ankita Roy; Aaron B A Shafer; Nagarjun Vijay; Vineet K Sharma
Journal:  Front Genet       Date:  2018-09-19       Impact factor: 4.599

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