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1.
Mol Ecol Resour ; 20(4): 892-905, 2020 Jul.
Artículo en Inglés | MEDLINE | ID: mdl-32243090

RESUMEN

Thanks to the development of high-throughput sequencing technologies, target enrichment sequencing of nuclear ultraconserved DNA elements (UCEs) now allows routine inference of phylogenetic relationships from thousands of genomic markers. Recently, it has been shown that mitochondrial DNA (mtDNA) is frequently sequenced alongside the targeted loci in such capture experiments. Despite its broad evolutionary interest, mtDNA is rarely assembled and used in conjunction with nuclear markers in capture-based studies. Here, we developed MitoFinder, a user-friendly bioinformatic pipeline, to efficiently assemble and annotate mitogenomic data from hundreds of UCE libraries. As a case study, we used ants (Formicidae) for which 501 UCE libraries have been sequenced whereas only 29 mitogenomes are available. We compared the efficiency of four different assemblers (IDBA-UD, MEGAHIT, MetaSPAdes, and Trinity) for assembling both UCE and mtDNA loci. Using MitoFinder, we show that metagenomic assemblers, in particular MetaSPAdes, are well suited to assemble both UCEs and mtDNA. Mitogenomic signal was successfully extracted from all 501 UCE libraries, allowing us to confirm species identification using CO1 barcoding. Moreover, our automated procedure retrieved 296 cases in which the mitochondrial genome was assembled in a single contig, thus increasing the number of available ant mitogenomes by an order of magnitude. By utilizing the power of metagenomic assemblers, MitoFinder provides an efficient tool to extract complementary mitogenomic data from UCE libraries, allowing testing for potential mitonuclear discordance. Our approach is potentially applicable to other sequence capture methods, transcriptomic data and whole genome shotgun sequencing in diverse taxa. The MitoFinder software is available from GitHub (https://github.com/RemiAllio/MitoFinder).


Asunto(s)
Biología Computacional/métodos , Genómica/métodos , Animales , Hormigas/genética , Evolución Biológica , Secuencia Conservada/genética , ADN Mitocondrial/genética , Genoma Mitocondrial/genética , Filogenia , Análisis de Secuencia de ADN/métodos , Programas Informáticos , Transcriptoma/genética
2.
Gene ; 577(2): 202-8, 2016 Feb 15.
Artículo en Inglés | MEDLINE | ID: mdl-26639990

RESUMEN

Here we describe the mitochondrial genome of the golden mussel Limnoperna fortunei, an Asian bivalve which has become one of the most aggressive invasive species in Japan and South America. The mitochondrial genome of L. fortunei does not present conserved gene arrangement when compared to the other Mytilidae species suggesting a high degree of gene recombination in the mitochondria of this clade. In addition, the golden mussel mitogenome encodes two copies of tRNA(Lys) and presents a putative pseudogene for the atp8 gene sequence that encodes a 27 amino acid peptide containing an in-frame stop codon. The presence of this pseudogene raises the question as to whether atp8 is encoded in some bivalve mitochondrial genomes or not. The phylogenetic analysis of all complete mitochondrial genomes available from Mytilidae mussels confirmed the close evolutionary relationships among bivalves from the genus Mytilys and placed L. fortunei coming from a more ancestral branch on the family. The supermatrix phylogeny described used the concatenation of all 12 genes from the mitochondria and disputed the monophyly of the genus Perna, as Perna perna was shown to be more closely related to Brachidontes exustus than to Perna viridis. The comparative analysis of mitogenome synteny also confirmed the polyphyly of the genus Perna. The complete and annotated mitogenome has been published in GenBank under the accession number KP756905.


Asunto(s)
Genoma Mitocondrial , Mytilidae/genética , Filogenia , Animales , Secuencia de Bases , Evolución Molecular , ATPasas de Translocación de Protón Mitocondriales/genética , Datos de Secuencia Molecular , Mytilidae/clasificación , Seudogenes , ARN de Transferencia/genética , Alineación de Secuencia
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