Evidence map›Paper›PMID 40042280›Full record

ArticlemBio2025

Lost in translation: conserved amino acid usage despite extreme codon bias in foraminifera.

Auden E Cote-L'Heureux, Elinor G Sterner, Xyrus X Maurer-Alcalá, Laura A Katz

Abstract read
In one paragraph

Article in mBio, 2025. 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

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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Auden E Cote-L'HeureuxDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, USA.ORCID 0000-0001-5793-7695
Elinor G SternerDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, USA.ORCID 0009-0001-4511-9350
Xyrus X Maurer-AlcaláDivision of Invertebrate Zoology, Sackler Institute for Comparative Genomics, American Museum of Natural History, New York, New York, USA.ORCID 0000-0002-7499-9369
Laura A KatzDepartment of Biological Sciences, Smith College, Northampton, Massachusetts, USA.ORCID 0000-0002-9138-4702

Funding

National Science Foundation DEB-2230391National Science Foundation OCE-1924570NIH HHS R15HG01040
6 · The paper itself

Abstract

Analyses of codon usage in eukaryotes suggest that amino acid usage responds to GC pressure so AT-biased substitutions drive higher usage of amino acids with AT-ending codons. Here, we combine single-cell transcriptomics and phylogenomics to explore codon usage patterns in foraminifera, a diverse and ancient clade of predominantly uncultivable microeukaryotes. We curate data from 1,044 gene families in 49 individuals representing 28 genera, generating perhaps the largest existing dataset of data from a predominantly uncultivable clade of protists, to analyze compositional bias and codon usage. We find extreme variation in composition, with a median GC content at fourfold degenerate silent sites below 3% in some species and above 75% in others. The most AT-biased species are distributed among diverse non-monophyletic lineages. Surprisingly, despite the extreme variation in compositional bias, amino acid usage is highly conserved across all foraminifera. By analyzing nucleotide, codon, and amino acid composition within this diverse clade of amoeboid eukaryotes, we expand our knowledge of patterns of genome evolution across the eukaryotic tree of life.IMPORTANCEPatterns of molecular evolution in protein-coding genes reflect trade-offs between substitution biases and selection on both codon and amino acid usage. Most analyses of these factors in microbial eukaryotes focus on model species such as

Indexed as

Amino AcidsCodonCodon UsageForaminiferaProtein BiosynthesisBase CompositionEvolution, MolecularPhylogenyAmino AcidsCodonamino acid usagecodon usagecompositional biasforaminiferaGC content

Identifiers

PMID40042280
PMCPMC11980380

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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.