Abstract

The sequencing, annotation and analysis of complete mitochondrial genomes is an important research tool in phylogeny and evolution. Starting with the primary sequence, genes/features are generally annotated automatically to obtain preliminary annotations in the form of a feature table. Further manual curation in a graphic alignment editor is nevertheless necessary to revise annotations. As such, the automatically generated feature table is invalidated and has to be modified manually before submission to data banks. We developed aln2tbl.py, a python script that recreates a feature table from a manually refined alignment of genes mapped on the mitochondrial genome in fasta format. The feature table is populated with notes and annotations specific to mitochondrial genomes. The table can be used to create a sqn file to be submitted directly to data banks. In summary, our scripts fills one gap in the available toolbox and, combined with other software, allows the automation of the entire process, from primary sequence to annotated genome submission, even if a manual curation step is conducted in a visual sequence editor.

Details

Title
Aln2tbl: building a mitochondrial features table from a assembly alignment in fasta format
Author
Pons, Joan 1   VIAFID ORCID Logo  ; Ensenyat, Juan José 2   VIAFID ORCID Logo  ; Bover, Pere 3   VIAFID ORCID Logo  ; Serra, Miquel 2   VIAFID ORCID Logo  ; Nardi, Francesco 4 

 Departament de Biodiversitat Animal i Microbiana, Institut Mediterrani d’Estudis Avançats (IMEDEA, CSIC-UIB), Esporles, Spain 
 Tecnologies de la informació i la comunicació, Institut Mediterrani d’Estudis Avançats (IMEDEA, CSIC-UIB), Esporles, Spain 
 Instituto Universitario de Investigación en Ciencias Ambientales (IUCA), Grupo Aragosaurus - Departamento de Ciencias de la Tierra, Facultad de Ciencias, Universidad de Zaragoza, Zaragoza, Spain 
 Department of Life Sciences, University of Siena, Siena, Italy 
Pages
2732-2735
Publication year
2021
Publication date
Sep 2021
Publisher
Taylor & Francis Ltd.
e-ISSN
23802359
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2569640673
Copyright
© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.