Evidence map›Paper›PMID 42289377›Full record

ArticleMolecular ecology resources2026

Fragmentation of Long Reads Enables Reliable Mitogenome Assembly From Whole-Genome Amplification Data With Pervasive Palindromic Reads.

Matteo Vecchi, Bartłomiej Surmacz, Ingemar K Jönsson, Daniel Stec

Abstract read
In one paragraph

Article in Molecular ecology resources, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Matteo VecchiDepartment of Chemistry, Life Sciences and Environmental Sustainability, University of Parma, Parma, Italy.ORCID https://orcid.org/0000-0002-7995-6827
Bartłomiej SurmaczInstitute of Systematics and Evolution of Animals, Polish Academy of Sciences, Kraków, Poland.ORCID https://orcid.org/0000-0002-1593-6552
Ingemar K JönssonDepartment of Environmental Science, Kristianstad University, Kristianstad, Sweden.ORCID https://orcid.org/0000-0002-1732-0372
Daniel StecInstitute of Systematics and Evolution of Animals, Polish Academy of Sciences, Kraków, Poland.ORCID https://orcid.org/0000-0001-6876-0717

Funding

Narodowe Centrum Nauki 2022/45/P/NZ8/01512
6 · The paper itself

Abstract

Whole genome amplification (WGA), and in particular multiple displacement amplification (MDA), has become a key technique for genomic sequencing of microscopic organisms, yet it introduces artefacts such as palindromic (inverted chimeric) reads that may compromise downstream analyses. We assessed how pervasive palindromic reads generated by MDA impact the assembly of tardigrade (Acutuncus giovanniniae and A. mecnuffi) mitogenomes sequenced with Oxford Nanopore technology. We show that the MDA produces a high proportion of palindromic reads, often exceeding one-third of mitochondrial reads and frequently exhibiting complex multi-inversion structures. These artefacts severely impair long-read assembly, leading to low success rates and inconsistent genome reconstruction. To solve this issue, a strategy based on in silico fragmentation of long reads into short, high-quality fragments, followed by short-read assembly, consistently produced complete and accurate circularised mitochondrial genomes. Our results demonstrate that palindromic read formation can be, in some cases, a limitation of MDA coupled with long-read sequencing, but this issue can be mitigated through read fragmentation. This approach provides a simple, robust and scalable solution for mitogenome assembly from data heavily affected by amplification artefacts, particularly in microscopic taxa where whole genome amplification is often unavoidable.

Indexed as

Computational BiologyGenome, MitochondrialInverted Repeat SequencesNucleic Acid Amplification TechniquesTardigradaAnimalsSequence Analysis, DNAAcutuncuschimeric sequenceslong readsmitochondriananoporetardigrades

Identifiers

PMID42289377
PMCPMC13265396

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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.