Evidence map›Paper›PMID 40908506›Full record

ArticleThe New phytologist2025

High-frequency sampling unveils biotic and abiotic drivers of rapid phytoplankton morphological changes.

Pavel Škaloud, Kateřina Tučková, Radka Čablová, Iva Jadrná, Ivana Černajová

Abstract read
In one paragraph

Article in The New phytologist, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A revision of thePhytoKeys · 2025
    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.

Pavel ŠkaloudDepartment of Botany, Faculty of Science, Charles University, Benátská 2, 12800, Praha 2, Czech Republic.ORCID https://orcid.org/0000-0003-1201-3290
Kateřina TučkováDepartment of Botany, Faculty of Science, Charles University, Benátská 2, 12800, Praha 2, Czech Republic.ORCID https://orcid.org/0009-0003-0246-5178
Radka ČablováDepartment of Botany, Faculty of Science, Charles University, Benátská 2, 12800, Praha 2, Czech Republic.ORCID https://orcid.org/0000-0003-4836-747X
Iva JadrnáDepartment of Botany, Faculty of Science, Charles University, Benátská 2, 12800, Praha 2, Czech Republic.ORCID https://orcid.org/0000-0002-2974-536X
Ivana ČernajováDepartment of Botany, Faculty of Science, Charles University, Benátská 2, 12800, Praha 2, Czech Republic.ORCID https://orcid.org/0000-0001-9526-4647

Funding

Grantová Agentura České Republiky 23-06881SMinisterstvo Školství, Mládeže a Tělovýchovy e-INFRA CZ 90254
6 · The paper itself

Abstract

Phytoplankton, as primary producers, play a key role in aquatic ecosystems. Their community turnover is shaped by morphological traits that enable adaptation to diverse abiotic and biotic factors. Yet, the temporal scale of these dynamics remains poorly understood due to limited high-frequency sampling studies. Employing DNA metabarcoding, we assessed the community composition of the phytoplankton lineage Synurales (Chrysophyceae) at 3-d intervals during 70 d at a shallow peat bog lake in the Czech Republic. The selected group possesses a variety of species-specific key morphological traits, such as cell size, coloniality, and bristle formation. Using a custom reference database of cultured species, we assigned 99.93% of eDNA reads to 74 species-level lineages with known morphological traits. Community changes in colonial species were influenced by abiotic drivers such as silica concentration and wind speed. By contrast, shifts in unicellular species communities were mainly driven by Cladocera predators, influencing the occurrence of bristle-bearing species. Changes in species composition and morphological traits occurred within days, mirroring environmental variability. Achieving such fine-scale resolution, especially for small or rare taxa, would be extremely difficult using microscopy alone. eDNA enabled high-resolution community profiling and abundance estimation, demonstrating its key role and the importance of comprehensive reference databases.

Indexed as

PhytoplanktonCzech RepublicEcosystemLakesSpecies SpecificityWindcommunity structureDNA metabarcodingenvironmental variablesfreshwater ecosystemshigh‐throughput sequencingmorphological traitsSynuraleszooplankton

Identifiers

PMID40908506
PMCPMC12589706

What Socratic holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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 Socratic graph.