Evidence map›Paper›PMID 41855163›Full record

ArticlePloS one2026

ITS2 and 18S rRNA gene sequence-structure phylogeny of the Haptophyta (Haptista).

Louisa Ridder, Bente Edvardsen, Matthias Wolf

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Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Louisa RidderDepartment of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
Bente EdvardsenDepartment of Biosciences, University of Oslo (UIO), Oslo, Norway.
Matthias WolfDepartment of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.ORCID https://orcid.org/0000-0003-2004-1806

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The phylogeny of haptophytes, a diverse and ecologically significant group of microalgae, remains incompletely resolved despite extensive molecular studies. In this study, we apply a sequence-structure phylogenetic framework to the Haptophyta, utilizing ribosomal RNA (rRNA) small subunit (SSU) gene (18S; nearly complete sequences) and internal transcribed spacer 2 (ITS2) datasets. By integrating secondary structure information during sequence alignment and tree inference, we aim to enhance phylogenetic resolution and clarify evolutionary relationships within this lineage. Our taxon sampling reduced over 40,000 available 18S sequences to 396 representatives, alongside a compilation of 224 ITS2 sequences. Comparative modeling and homology-based structure prediction revealed both conserved and variable features in 18S and ITS2 secondary structures, with notable deviations in certain taxa. Maximum likelihood (ML) subset phylogenies based on 18S sequence-structure data showed the greatest congruence with established taxonomy, such as the division between calcifying and non-calcifying lineages. In contrast, ITS2 data presented alignment challenges due to high sequence variability, length differences, and limited taxon representation. Incorporating secondary structure information improved alignment quality and reduced phylogenetic artifacts, though ITS2 remained unsuitable for resolving deep relationships among haptophytes. Instead, ITS2 proved more valuable for distinguishing closely related species. While bootstrap support values were similar between sequence-only and sequence-structure approaches, the latter suggested alternative phylogenetic placements that better aligned with previous studies (using multiple markers or also some partial 18S sequences); for Hayaster perplexus in particular, these placements also better matched morphological data. Our results underscore the critical impact of taxon sampling and methodological choices on phylogenetic outcomes. Despite these challenges, the 18S sequence-structure ML tree offers a reliable depiction of haptophyte phylogeny, even though some backbone relationships remain weakly supported. Overall, this study highlights both the benefits and limitations of integrating RNA secondary structure into molecular phylogenetics and advances our understanding of haptophyte evolution.

Indexed as

DNA, Ribosomal SpacerHaptophytaPhylogenyRNA, Ribosomal, 18SBase SequenceEvolution, MolecularNucleic Acid ConformationSequence AlignmentDNA, Ribosomal SpacerRNA, Ribosomal, 18S

Identifiers

PMID41855163
PMCPMC13001949

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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.