Mechanisms of metabolic adaptation in the duckweed Lemna gibba: an integrated metabolic, transcriptomic and flux analysis.
Duckweeds
Lemna gibba
Metabolic flux analysis
Metabolome analysis
Transcriptome analysis
Journal
BMC plant biology
ISSN: 1471-2229
Titre abrégé: BMC Plant Biol
Pays: England
ID NLM: 100967807
Informations de publication
Date de publication:
03 Oct 2023
03 Oct 2023
Historique:
received:
08
05
2023
accepted:
20
09
2023
medline:
5
10
2023
pubmed:
4
10
2023
entrez:
3
10
2023
Statut:
epublish
Résumé
Duckweeds 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. To 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 Through 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.
Sections du résumé
BACKGROUND
BACKGROUND
Duckweeds 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.
RESULTS
RESULTS
To 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
CONCLUSIONS
CONCLUSIONS
Through 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.
Identifiants
pubmed: 37789269
doi: 10.1186/s12870-023-04480-9
pii: 10.1186/s12870-023-04480-9
pmc: PMC10546790
doi:
Substances chimiques
Glutamine
0RH81L854J
Nitrates
0
Nitrogen
N762921K75
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
458Subventions
Organisme : U.S. Department of Energy
ID : DE-SC0018244
Organisme : U.S. Department of Energy
ID : DE-SC0018244
Organisme : U.S. Department of Energy
ID : DE-SC0012704
Organisme : U.S. Department of Energy
ID : DE-SC0018244
Organisme : U.S. Department of Energy
ID : DE-SC0018244
Organisme : U.S. Department of Energy
ID : DE-SC0018244
Informations de copyright
© 2023. BioMed Central Ltd., part of Springer Nature.
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