Evidence map›Paper›PMID 37789269›Full record

ArticleBMC plant biology2023

Mechanisms of metabolic adaptation in the duckweed Lemna gibba: an integrated metabolic, transcriptomic and flux analysis.

Hai Shi, Evan Ernst, Nicolas Heinzel, Sean McCorkle, Hardy Rolletschek, Ljudmilla Borisjuk, Stefan Ortleb, Robert Martienssen, John Shanklin, Jorg Schwender

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 35% of its field
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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trophic Diversity in Duckweed: Mixotrophy, More Than the Sum of its Extremes.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

10 authors at 4 institutions in 2 countries.

Hai ShiBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Evan ErnstCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY, 11724, USA.
Nicolas HeinzelDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, D-06466, Seeland OT Gatersleben, Germany.
Sean McCorkleBrookhaven National Laboratory, Computational Science Initiative, Upton, NY, 11973, USA.
Hardy RolletschekDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, D-06466, Seeland OT Gatersleben, Germany.
Ljudmilla BorisjukDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, D-06466, Seeland OT Gatersleben, Germany.
Stefan OrtlebDepartment of Molecular Genetics, Leibniz Institute of Plant Genetics and Crop Plant Research, D-06466, Seeland OT Gatersleben, Germany.
Robert MartienssenCold Spring Harbor Laboratory, 1 Bungtown Rd, Cold Spring Harbor, NY, 11724, USA.
John ShanklinBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA.
Jorg SchwenderBiology Department, Brookhaven National Laboratory, Upton, NY, 11973, USA. schwend@bnl.gov.
Brookhaven National Laboratory · USLeibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung (IPK) · DECold Spring Harbor Laboratory · USHoward Hughes Medical Institute · US

Funding

U.S. Department of Energy DE-SC0012704U.S. Department of Energy DE-SC0018244
6 · The paper itself

Abstract

backgroundDuckweeds are small, rapidly growing aquatic flowering plants. Due to their ability for biomass production at high rates they represent promising candidates for biofuel feedstocks. Duckweeds are also excellent model organisms because they can be maintained in well-defined liquid media, usually reproduce asexually, and because genomic resources are becoming increasingly available. To demonstrate the utility of duckweed for integrated metabolic studies, we examined the metabolic adaptation of growing Lemna gibba cultures to different nutritional conditions.

resultsTo establish a framework for quantitative metabolic research in duckweeds we derived a central carbon metabolism network model of Lemna gibba based on its draft genome. Lemna gibba fronds were grown with nitrate or glutamine as nitrogen source. The two conditions were compared by quantification of growth kinetics, metabolite levels, transcript abundance, as well as by

conclusionsThrough integrated analysis of growth rate, biomass composition, metabolite levels, and metabolic flux, we show that Lemna gibba is an excellent system for quantitative metabolic studies in plants. Our study showed that Lemna gibba adjusts to different nitrogen sources by reorganizing central metabolism. The observed disconnect between gene expression regulation and metabolism underscores the importance of metabolic flux analysis as a tool in such studies.

Indexed as

AraceaeTranscriptomeGlutamineNitratesNitrogenGlutamineNitratesNitrogenDuckweedsLemna gibbaMetabolic flux analysisMetabolome analysisTranscriptome analysis

Identifiers

PMID37789269
PMCPMC10546790
OpenAlexW4387312086

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.