Evidence map›Paper›PMID 26216337›Full record

ArticleBMC bioinformatics2015

Odintifier--A computational method for identifying insertions of organellar origin from modern and ancient high-throughput sequencing data based on haplotype phasing.

Jose Alfredo Samaniego Castruita, Marie Lisandra Zepeda Mendoza, Ross Barnett, Nathan Wales, M Thomas P Gilbert

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Article in BMC bioinformatics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 8 citations in OpenAlex.

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4 · The record

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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

5 authors at 2 institutions in 1 country.

Jose Alfredo Samaniego CastruitaCentre for GeoGenetics, The Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, DK-1350, Denmark. jose.samaniego@snm.ku.dk.
Marie Lisandra Zepeda MendozaCentre for GeoGenetics, The Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, DK-1350, Denmark. lisandracady@gmail.com.
Ross BarnettCentre for GeoGenetics, The Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, DK-1350, Denmark. drrossbarnett@gmail.com.
Nathan WalesCentre for GeoGenetics, The Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, DK-1350, Denmark. wales.nathan@gmail.com.
M Thomas P GilbertCentre for GeoGenetics, The Natural History Museum of Denmark, University of Copenhagen, Øster Voldgade 5-7, Copenhagen, DK-1350, Denmark. mtpgilbert@gmail.com.
University of Copenhagen · DKNatural History Museum Aarhus · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCellular organelles with genomes of their own (e.g. plastids and mitochondria) can pass genetic sequences to other organellar genomes within the cell in many species across the eukaryote phylogeny. The extent of the occurrence of these organellar-derived inserted sequences (odins) is still unknown, but if not accounted for in genomic and phylogenetic studies, they can be a source of error. However, if correctly identified, these inserted sequences can be used for evolutionary and comparative genomic studies. Although such insertions can be detected using various laboratory and bioinformatic strategies, there is currently no straightforward way to apply them as a standard organellar genome assembly on next-generation sequencing data. Furthermore, most current methods for identification of such insertions are unsuitable for use on non-model organisms or ancient DNA datasets.

resultsWe present a bioinformatic method that uses phasing algorithms to reconstruct both source and inserted organelle sequences. The method was tested in different shotgun and organellar-enriched DNA high-throughput sequencing (HTS) datasets from ancient and modern samples. Specifically, we used datasets from lions (Panthera leo ssp. and Panthera leo leo) to characterize insertions from mitochondrial origin, and from common grapevine (Vitis vinifera) and bugle (Ajuga reptans) to characterize insertions derived from plastid genomes. Comparison of the results against other available organelle genome assembly methods demonstrated that our new method provides an improvement in the sequence assembly.

conclusionUsing datasets from a wide range of species and different levels of complexity we showed that our novel bioinformatic method based on phasing algorithms can be used to achieve the next two goals: i) reference-guided assembly of chloroplast/mitochondrial genomes from HTS data and ii) identification and simultaneous assembly of odins. This method represents the first application of haplotype phasing for automatic detection of odins and reference-based organellar genome assembly.

Indexed as

AjugaAlgorithmsAnimalsComputational BiologyDNAGenome, ChloroplastGenome, MitochondrialGenomicsHaplotypesHigh-Throughput Nucleotide SequencingLionsMitochondriaPlastidsPolymorphism, Single NucleotideSequence Analysis, DNAVitisDNA

Identifiers

PMID26216337
PMCPMC4517485
OpenAlexW1917993341

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