Evidence map›Paper›PMID 41524029›Full record

ArticleNAR genomics and bioinformatics2026

Insights into the architecture of earthworm metallothionein genes, powered by long-read genomics and transcriptomics.

Maxim A Karpov, Stephen Short, Peter Kille, Carl Hobbs, Amaia Green Etxabe, David J Spurgeon, Stephen R Stürzenbaum

Abstract read
In one paragraph

Article in NAR genomics and bioinformatics, 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
–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

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

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

7 authors.

Maxim A KarpovDepartment of Analytical, Environmental and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 9NH, United Kingdom.
Stephen ShortUK Centre for Ecology & Hydrology, Maclean Building, Wallingford, OX10 8BB, United Kingdom.
Peter KilleSchool of Biosciences, Cardiff University, Cardiff, CF10 3AX, United Kingdom.
Carl HobbsWolfson Sensory Pain and Regeneration Centre, King's College London, London, SE1 1YR, United Kingdom.
Amaia Green EtxabeUK Centre for Ecology & Hydrology, Maclean Building, Wallingford, OX10 8BB, United Kingdom.
David J SpurgeonUK Centre for Ecology & Hydrology, Maclean Building, Wallingford, OX10 8BB, United Kingdom.
Stephen R StürzenbaumDepartment of Analytical, Environmental and Forensic Sciences, Faculty of Life Sciences and Medicine, King's College London, London, SE1 9NH, United Kingdom.ORCID https://orcid.org/0000-0002-9336-9290

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The metal-handling metallothionein gene family is subjected to a strong selection pressure in earthworms inhabiting metalliferous soils. The resultant single nucleotide polymorphisms and structural variants within metallothionein's characteristically short exons challenge standard gene prediction and genome assembly tools and complicate phylogenetic analysis of earthworm metallothioneins (wMTs). Here, the genomic origin of wMTs was defined by sequencing four wMT-containing Bacterial Artificial Chromosomes (BACs). This yielded sequence contigs of lengths from 97 to 123 kb and enabled further genetic analyses, supporting the creation of a BLAST-based software for visualizing long-read RNA-seq alignments-lrRNAseq TAST (Total Alignment Search Tool). Phylogenetic analysis of wMT proteins from long-read RNA-seq data grouped wMTs into three distinct clades. Tissue-specific lrRNAseq and metallomic mapping, conducted in context of lead toxicity, revealed enrichment of wMT-1 and wMT-2 in tissues of heavy metal detoxification, and colocalization of wMT with lead in the chloragog. The generation of rare wMT isoforms was attributed to errors in expression, but the erroneous transcripts may possess a degree of order and purpose. A conserved region in the 3' UTR of wMT transcripts was found completely distinct between wMT homologues, allowing classification without inferring phylogenetic trees.

Indexed as

GenomicsMetallothioneinOligochaetaTranscriptomeAnimalsGene Expression ProfilingPhylogenyMetallothionein

Identifiers

PMID41524029
PMCPMC12783039

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Registered trials

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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.