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GenomicsMolecular Ecology Resources
Peer-reviewed journal article

Trimitomics: An efficient pipeline for mitochondrial assembly from transcriptomic reads in non-model species

Bruna PlešeiD, Maria Eleonora RossiiD, Nathan J. KennyiD, Sergi TaboadaiD, Vasiliki KoutsouveliiD, Ana RiesgoiD

Abstract

Mitochondrial resources are of known utility to many fields of phylogenetic, population and molecular biology. Their combination of faster and slower-evolving regions and high copy number enables them to be used in many situations where other loci are unsuitable, with degraded samples and after recent speciation events.\n\nThe advent of next-generation sequencing technologies (and notably the Illumina platform) has led to an explosion in the number of samples that can be studied at transcriptomic level, at relatively low cost. Here we describe a robust pipeline for the recovery of mitochondrial genomes from these RNA-seq resources. This pipeline can be used on sequencing of a variety of depths, and reliably recovers the protein coding and ribosomal gene complements of mitochondria from almost any transcriptomic sequencing experiment. The complete sequence of the mitochondrial genome can also be recovered when sequencing is performed in sufficient depth. We evidence the efficacy of our pipeline using data from a number of non-model invertebrates of four disparate phyla, namely Porifera, Nemertea, Mollusca and Annelida. Interestingly, among our poriferan data, where microbiological symbionts are known empirically to make mitochondrial assembly difficult, this pipeline proved especially useful.\n\nOur pipeline will allow the recovery of mitochondrial data from a variety of previously-sequenced samples, and add an additional angle of enquiry to future RNA-seq efforts, simplifying the process of mitochondrial genome assembly for even the most recalcitrant clades and adding this data to the scientific record for a range of future uses.

PDFDOI

02 /Specification & Classification

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Citations
24
FWCI
1.32
Field percentile
top 21%

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