Evidence map›Paper›PMID 32243090›Full record

ArticleMolecular ecology resources2020

MitoFinder: Efficient automated large-scale extraction of mitogenomic data in target enrichment phylogenomics.

Rémi Allio, Alex Schomaker-Bastos, Jonathan Romiguier, Francisco Prosdocimi, Benoit Nabholz, Frédéric Delsuc

Open access · bronzeAbstract read
In one paragraph

Article in Molecular ecology resources, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1,290 papers.

0numbers the graph read from it
0cells of the map it votes in
1,290citing papers in PubMed
56.5field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1,290 citing papers in PubMed, 1,985 citations in OpenAlex.

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  19. Assembly of a high-quality reference genome for the rat tapewormbioRxiv : the preprint server for biology · 2026
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1,230 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Rémi AllioInstitut des Sciences de l'Évolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France.ORCID https://orcid.org/0000-0003-3885-5410
Alex Schomaker-BastosLaboratório Multidisciplinar para Análise de Dados (LAMPADA), Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Jonathan RomiguierInstitut des Sciences de l'Évolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France.ORCID https://orcid.org/0000-0002-2527-4740
Francisco ProsdocimiLaboratório Multidisciplinar para Análise de Dados (LAMPADA), Instituto de Bioquímica Médica Leopoldo de Meis, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.ORCID https://orcid.org/0000-0002-6761-3069
Benoit NabholzInstitut des Sciences de l'Évolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France.ORCID https://orcid.org/0000-0003-0447-1451
Frédéric DelsucInstitut des Sciences de l'Évolution de Montpellier (ISEM), CNRS, EPHE, IRD, Université de Montpellier, Montpellier, France.ORCID https://orcid.org/0000-0002-6501-6287
Centre National de la Recherche Scientifique · FRUniversidade Federal do Rio de Janeiro · BR

Funding

Agence Nationale de la Recherche ANR-10-LABX-0004Agence Nationale de la Recherche ANR-10-LABX-25-01H2020 European Research Council ERC-2015-CoG-683257
6 · The paper itself

Abstract

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).

Indexed as

AnimalsAntsBiological EvolutionComputational BiologyConserved SequenceDNA, MitochondrialGenome, MitochondrialGenomicsPhylogenySequence Analysis, DNASoftwareTranscriptomeDNA, MitochondrialbioinformaticsDNA barcodinginsectsinvertebratesmetagenomicssystematics

Identifiers

PMID32243090
PMCPMC7497042
OpenAlexW3014884007

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.