Evidence map›Paper›PMID 42565232›Full record

ArticleJournal of phycology2026

Linking variation in genome size to cyst size in chrysophytes.

Natálie Protić, Iva Jadrná, Pavel Škaloud, Petr Knotek, Dora Čertnerová

Abstract read
In one paragraph

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

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Natálie ProtićInstitute of Microbiology of the Czech Academy of Sciences, Centre Algatech, Třeboň, Czech Republic.
Iva JadrnáDepartment of Botany, Faculty of Science, Charles University, Prague, Czech Republic.
Pavel ŠkaloudDepartment of Botany, Faculty of Science, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0003-1201-3290
Petr KnotekDepartment of Botany, Faculty of Science, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0009-0009-7818-4077
Dora ČertnerováDepartment of Botany, Faculty of Science, Charles University, Prague, Czech Republic.ORCID https://orcid.org/0000-0001-8219-554X

Funding

Grantová Agentura České Republiky 23-05546O
6 · The paper itself

Abstract

Genome size varies tremendously across eukaryotes, which often contain far more DNA than expected from their biological complexity. To explain this paradox, selection-based hypotheses propose that genome size evolves through selection acting on life-history traits correlated with the phenotypic effects, independent of its genic content. To test the association between genome size and resting cyst size-a structure with morphology that may reflect overall body size-we selected chrysophyte algae (Chrysophyceae) producing siliceous stomatocysts as a model. In this study, we obtained and identified 85 chrysophyte strains representing 31 Mallomonas species using nuclear ITS rDNA region barcoding and estimated their genome sizes using propidium iodide flow cytometry. Within this genus, we observed more than a 75-fold variation in genome size (0.15-11.25 pg) and frequent substantial intraspecific variation, in some cases consistent with whole-genome doubling (polyploidization). By summarizing the published genome size records, adding our new measurements and combining them with published cyst sizes, we assembled a data set for 54 chrysophyte species to examine the relationship between genome size and cyst volume. Linear regression on log-transformed data revealed a strong positive correlation (

Indexed as

ChrysophytaGenetic VariationGenome SizeFlow Cytometrychrysophytesflow cytometrygenome sizeMallomonasstomatocyst

Identifiers

PMID42565232
PMCPMC13659389

What OpenQuestion holds

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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.