Evidence map›Paper›PMID 37829208›Full record

ArticleOpen research Europe2022

MTaxi: A comparative tool for taxon identification of ultra low coverage ancient genomes.

Gözde Atağ, Kıvılcım Başak Vural, Damla Kaptan, Mustafa Özkan, Dilek Koptekin, Ekin Sağlıcan, Sevcan Doğramacı, Mevlüt Köz, Ardan Yılmaz, Arda Söylev and 3 more

Abstract read
In one paragraph

Article in Open research Europe, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

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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

2 citing papers in PubMed.

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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

13 authors.

Gözde AtağBiological Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0001-6173-3126
Kıvılcım Başak VuralBiological Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0003-3964-3065
Damla KaptanBiological Sciences, Middle East Technical University, Ankara, Turkey.
Mustafa ÖzkanBiological Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-7520-4572
Dilek KoptekinBiological Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0003-2664-5774
Ekin SağlıcanHealth Informatics, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0001-8646-1163
Sevcan DoğramacıComputer Engineering, Konya Food and Agriculture University, Konya, Turkey.
Mevlüt KözMolecular Biology and Genetics, Konya Food and Agriculture University, Konya, Turkey.
Ardan YılmazComputer Engineering, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-9004-3455
Arda SöylevComputer Engineering, Konya Food and Agriculture University, Konya, Turkey.
İnci ToganBiological Sciences, Middle East Technical University, Ankara, Turkey.
Mehmet SomelBiological Sciences, Middle East Technical University, Ankara, Turkey.ORCID https://orcid.org/0000-0002-3138-1307
Füsun ÖzerAnthropology, Hacettepe University, Ankara, Turkey.ORCID https://orcid.org/0000-0003-0443-5805

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A major challenge in zooarchaeology is to morphologically distinguish closely related species' remains, especially using small bone fragments. Shotgun sequencing aDNA from archeological remains and comparative alignment to the candidate species' reference genomes will only apply when reference nuclear genomes of comparable quality are available, and may still fail when coverages are low. Here, we propose an alternative method, MTaxi, that uses highly accessible mitochondrial DNA (mtDNA) to distinguish between pairs of closely related species from ancient DNA sequences. MTaxi utilises mtDNA transversion-type substitutions between pairs of candidate species, assigns reads to either species, and performs a binomial test to determine the sample taxon. We tested MTaxi on sheep/goat and horse/donkey data, between which zooarchaeological classification can be challenging in ways that epitomise our case. The method performed efficiently on simulated ancient genomes down to 0.3x mitochondrial coverage for both sheep/goat and horse/donkey, with no false positives. Trials on n=18 ancient sheep/goat samples and n=10 horse/donkey samples of known species identity also yielded 100% accuracy. Overall, MTaxi provides a straightforward approach to classify closely related species that are difficult to distinguish through zooarchaeological methods using low coverage aDNA data, especially when similar quality reference genomes are unavailable. MTaxi is freely available at https://github.com/goztag/MTaxi.

Indexed as

ancient DNAbioinformaticsgenomicsmtDNAzooarcheology

Identifiers

PMID37829208
PMCPMC10565424

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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.