Evidence map›Paper›PMID 39630110›Full record

ArticlePlant biology (Stuttgart, Germany)2025

Genome-wide association study of metabolic traits in the giant duckweed Spirodela polyrhiza.

M Höfer, M Schäfer, Y Wang, S Wink, S Xu

Abstract read
In one paragraph

Article in Plant biology (Stuttgart, Germany), 2025. 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. Review
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.

M HöferInstitute for Organismic and Molecular Evolution (iomE), Johannes Gutenberg University of Mainz, Mainz, Germany.ORCID https://orcid.org/0000-0002-6000-4594
M SchäferInstitute for Organismic and Molecular Evolution (iomE), Johannes Gutenberg University of Mainz, Mainz, Germany.
Y WangInstitute for Organismic and Molecular Evolution (iomE), Johannes Gutenberg University of Mainz, Mainz, Germany.
S WinkInstitute for Evolution and Biodiversity, University of Münster, Münster, Germany.
S XuInstitute for Organismic and Molecular Evolution (iomE), Johannes Gutenberg University of Mainz, Mainz, Germany.

Funding

Deutsche Forschungsgemeinschaft 427577435Deutsche Forschungsgemeinschaft 435681637
6 · The paper itself

Abstract

The exceptionally high growth rate and high flavonoid content make the giant duckweed Spirodela polyrhiza (L.) Schleid. (Arales: Lemnaceae Martinov) an ideal organism for food production and metabolic engineering. To facilitate this, identification of the genetic basis underlying growth and metabolic traits is essential. Here, we analysed growth and content of 42 metabolites in 137 S. polyrhiza genotypes and characterized the genetics underpinning these traits using a genome-wide association (GWA) approach. We found that biomass positively correlated with the content of many free amino acids, including L-glutamine, L-tryptophan, and L-serine, but negatively correlated with specialized metabolites, such as flavonoids. GWA analysis showed that several candidate genes involved in processes such as photosynthesis, protein degradation, and organ development were jointly associated with multiple metabolic traits. The results suggest the above genes are suitable targets for simultaneous optimization of duckweed growth and metabolite levels. This study provides insights into the metabolic diversity of S. polyrhiza and its underlying genetic architecture, paving the way for industrial applications of this plant via targeted breeding or genetic engineering.

Indexed as

AraceaeGenome-Wide Association StudyBiomassFlavonoidsGenome, PlantGenotypePhenotypeFlavonoidsduckweed metabolismmGWASSpirodela polyrhizatargeted metabolomicstrait variation

Identifiers

PMID39630110
PMCPMC11656286

What Socratic holds

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LicenceCC BY
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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 Socratic graph.