Complete mitochondrial genome of Aleochara ( Aleochara) curtula (Goeze, 1777) (Coleoptera: Staphylinidae)

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Abstract

The mitochondrial genome (mitogenome) of Aleochara ( Aleochara) curtula (Goeze, 1777) (Coleoptera: Staphylinidae) is reported. This mitogenome (GenBank accession no. OL675411) is 16,600 bp in size and consists of 13 protein-coding genes (PCGs), 22 transfer RNA genes (tRNAs), and two ribosomal RNA genes (rRNA). Most PCGs use typical mitochondrial stop codon (TAR) except for cox3, which uses a single T residue. The A, G, T, and C nucleotide base composition of the mitogenome is 40.61%, 7.66%, 40.34%, and 11.39%, respectively. The phylogenetic analyses recovered the monophyly of Aleocharinae.

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MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

Fredrik Ronquist, Maxim Teslenko, Paul van der Mark … (2012)

Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.

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MITOS: improved de novo metazoan mitochondrial genome annotation.

Matthias Bernt, Alexander Donath, Frank Jühling … (2013)

About 2000 completely sequenced mitochondrial genomes are available from the NCBI RefSeq data base together with manually curated annotations of their protein-coding genes, rRNAs, and tRNAs. This annotation information, which has accumulated over two decades, has been obtained with a diverse set of computational tools and annotation strategies. Despite all efforts of manual curation it is still plagued by misassignments of reading directions, erroneous gene names, and missing as well as false positive annotations in particular for the RNA genes. Taken together, this causes substantial problems for fully automatic pipelines that aim to use these data comprehensively for studies of animal phylogenetics and the molecular evolution of mitogenomes. The MITOS pipeline is designed to compute a consistent de novo annotation of the mitogenomic sequences. We show that the results of MITOS match RefSeq and MitoZoa in terms of annotation coverage and quality. At the same time we avoid biases, inconsistencies of nomenclature, and typos originating from manual curation strategies. The MITOS pipeline is accessible online at http://mitos.bioinf.uni-leipzig.de. Copyright © 2012 Elsevier Inc. All rights reserved.

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GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

Jian-Jun Jin, Wen-Bin Yu, Jun-Bo Yang … (2020)

GetOrganelle is a state-of-the-art toolkit to accurately assemble organelle genomes from whole genome sequencing data. It recruits organelle-associated reads using a modified “baiting and iterative mapping” approach, conducts de novo assembly, filters and disentangles the assembly graph, and produces all possible configurations of circular organelle genomes. For 50 published plant datasets, we are able to reassemble the circular plastomes from 47 datasets using GetOrganelle. GetOrganelle assemblies are more accurate than published and/or NOVOPlasty-reassembled plastomes as assessed by mapping. We also assemble complete mitochondrial genomes using GetOrganelle. GetOrganelle is freely released under a GPL-3 license (https://github.com/Kinggerm/GetOrganelle).

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Author and article information

Journal

Journal ID (nlm-ta): Mitochondrial DNA B Resour

Journal ID (iso-abbrev): Mitochondrial DNA B Resour

Title: Mitochondrial DNA. Part B, Resources

Publisher: Taylor & Francis

ISSN (Electronic): 2380-2359

Publication date (Electronic, pub): 24 January 2023

Publication date (Electronic, collection): 2023

Publication date PMC-release: 24 January 2023

Volume: 8

Issue: 1

Pages: 161-163

Affiliations

[a ]Department of Biological Sciences and Biotechnology, Chungbuk National University , Cheongju, Republic of Korea

[b ]Museum of Comparative Zoology and Department of Organismic and Evolutionary Biology, Harvard University , Cambridge, MA, USA

[c ]School of Biological Sciences, Seoul National University , Seoul, Republic of Korea

[d ]Animal Resources Division, National Institute of Biological Resources , Incheon, Republic of Korea

Author notes

[*]

These authors contributed equally to this work.

CONTACT Jong-Seok Park jpark16@ 123456cbnu.ac.kr

Sung-Jin Cho sjchobio@ 123456chungbuk.ac.kr Department of Biological Sciences and Biotechnology, Chungbuk National University , Cheongju, Republic of Korea

Article

Publisher ID: 2167472

DOI: 10.1080/23802359.2023.2167472

PMC ID: 9879196

PubMed ID: 36713296

SO-VID: ea44f044-4c03-431f-a04e-ab2632003e92

License:

This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Complete mitochondrial genome of Aleochara ( Aleochara) curtula (Goeze, 1777) (Coleoptera: Staphylinidae)

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Most cited references 13

MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

MITOS: improved de novo metazoan mitochondrial genome annotation.

GetOrganelle: a fast and versatile toolkit for accurate de novo assembly of organelle genomes

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