Literature DB >> 25721538

MitoPhAST, a new automated mitogenomic phylogeny tool in the post-genomic era with a case study of 89 decapod mitogenomes including eight new freshwater crayfish mitogenomes.

Mun Hua Tan1, Han Ming Gan2, Mark B Schultz3, Christopher M Austin4.   

Abstract

The increased rate at which complete mitogenomes are being sequenced and their increasing use for phylogenetic studies have resulted in a bioinformatic bottleneck in preparing and utilising such data for phylogenetic analysis. Hence, we present MitoPhAST, an automated tool that (1) identifies annotated protein-coding gene features and generates a standardised, concatenated and partitioned amino acid alignment directly from complete/partial GenBank/EMBL-format mitogenome flat files, (2) generates a maximum likelihood phylogenetic tree using optimised protein models and (3) reports various mitochondrial genes and sequence information in a table format. To demonstrate the capacity of MitoPhAST in handling a large dataset, we used 81 publicly available decapod mitogenomes, together with eight new complete mitogenomes of Australian freshwater crayfishes, including the first for the genus Gramastacus, to undertake an updated test of the monophyly of the major groups of the order Decapoda and their phylogenetic relationships. The recovered phylogenetic trees using both Bayesian and ML methods support the results of studies using fragments of mtDNA and nuclear markers and other smaller-scale studies using whole mitogenomes. In comparison to the fragment-based phylogenies, nodal support values are generally higher despite reduced taxon sampling suggesting there is value in utilising more fully mitogenomic data. Additionally, the simple table output from MitoPhAST provides an efficient summary and statistical overview of the mitogenomes under study at the gene level, allowing the identification of missing or duplicated genes and gene rearrangements. The finding of new mtDNA gene rearrangements in several genera of Australian freshwater crayfishes indicates that this group has undergone an unusually high rate of evolutionary change for this organelle compared to other major families of decapod crustaceans. As a result, freshwater crayfishes are likely to be a useful model for studies designed to understand the evolution of mtDNA rearrangements. We anticipate that our bioinformatics pipeline will substantially help mitogenome-based studies increase the speed, accuracy and efficiency of phylogenetic studies utilising mitogenome information. MitoPhAST is available for download at https://github.com/mht85/MitoPhAST.
Copyright © 2015 Elsevier Inc. All rights reserved.

Keywords:  Bioinformatics pipeline; Freshwater crayfish; Mitochondrial genome; Parastacoidea; Phylogenetics

Mesh:

Substances:

Year:  2015        PMID: 25721538     DOI: 10.1016/j.ympev.2015.02.009

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


  12 in total

1.  The complete mitochondrial genome of the grooved carpet shell, Ruditapes decussatus (Bivalvia, Veneridae).

Authors:  Fabrizio Ghiselli; Liliana Milani; Mariangela Iannello; Emanuele Procopio; Peter L Chang; Sergey V Nuzhdin; Marco Passamonti
Journal:  PeerJ       Date:  2017-08-22       Impact factor: 2.984

2.  Digging deeper: new gene order rearrangements and distinct patterns of codons usage in mitochondrial genomes among shrimps from the Axiidea, Gebiidea and Caridea (Crustacea: Decapoda).

Authors:  Mun Hua Tan; Han Ming Gan; Yin Peng Lee; Gary C B Poore; Christopher M Austin
Journal:  PeerJ       Date:  2017-03-01       Impact factor: 2.984

3.  The complete mitochondrial genome of the Caribbean spiny lobster Panulirus argus.

Authors:  J Antonio Baeza
Journal:  Sci Rep       Date:  2018-12-06       Impact factor: 4.379

4.  Comparative mitogenomics of the Decapoda reveals evolutionary heterogeneity in architecture and composition.

Authors:  Mun Hua Tan; Han Ming Gan; Yin Peng Lee; Heather Bracken-Grissom; Tin-Yam Chan; Adam D Miller; Christopher M Austin
Journal:  Sci Rep       Date:  2019-07-24       Impact factor: 4.379

5.  The mitochondrial genome of Grapsus albolineatus (Decapoda: Brachyura: Grapsidae) and phylogenetic associations in Brachyura.

Authors:  Jiayin Lü; Liping Xia; Xiaojuan Liu; Yanwen Ma; Jiji Li; Yingying Ye; Baoying Guo
Journal:  Sci Rep       Date:  2022-02-08       Impact factor: 4.996

6.  Complete mitochondrial genomes from two species of Chinese freshwater crabs of the genus Sinopotamon recovered using next-generation sequencing reveal a novel gene order (Brachyura, Potamidae).

Authors:  Xing Yuhui; Zhou Lijun; Hou Yue; Wang Xiaoqi; Zhang Chen; Wang Ruoran; Pan Da; Sun Hongying
Journal:  Zookeys       Date:  2017-10-02       Impact factor: 1.546

7.  Phylomitogenomics reconfirm the phylogenetic position of the genus Metaplax inferred from the two grapsid crabs (Decapoda: Brachyura: Grapsoidea).

Authors:  Jianqin Chen; Yuhui Xing; Wenjia Yao; Xue Xu; Chenling Zhang; Zhenhua Zhang; Qing Liu
Journal:  PLoS One       Date:  2019-01-25       Impact factor: 3.240

8.  Absence of evidence is not evidence of absence: Nanopore sequencing and complete assembly of the European lobster (Homarus gammarus) mitogenome uncovers the missing nad2 and a new major gene cluster duplication.

Authors:  Han Ming Gan; Frederic Grandjean; Tom L Jenkins; Christopher Mervyn Austin
Journal:  BMC Genomics       Date:  2019-05-03       Impact factor: 3.969

9.  The complete mitochondrial genome and description of a new cryptic species of Benedenia Diesing, 1858 (Monogenea: Capsalidae), a major pathogen infecting the yellowtail kingfish Seriola lalandi Valenciennes in the South-East Pacific.

Authors:  J Antonio Baeza; Fabiola A Sepúlveda; M Teresa González
Journal:  Parasit Vectors       Date:  2019-10-17       Impact factor: 3.876

Review 10.  "Mitochondrial Toolbox" - A Review of Online Resources to Explore Mitochondrial Genomics.

Authors:  Ruaidhri Cappa; Cassio de Campos; Alexander P Maxwell; Amy J McKnight
Journal:  Front Genet       Date:  2020-05-08       Impact factor: 4.772

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