MassIVE MSV000100942

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Evaluation of the composition of the cyanobacterium Limnospira indica biomass produced during spaceflight onboard the International Space Station

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Description

Long-duration space missions require regenerative life support systems to produce oxygen, recycle water, and generate food. Within ESA s MELiSSA project, the cyanobacterium Limnospira indica is studied for its ability to fix CO2 and produce O2 and edible biomass. The Arthrospira-C (ArtC) experiment aboard the ISS evaluated oxygen and biomass productivity under continuous cultivation and different light intensities. Cultures were grown for 2.5 months in four autonomous photobioreactors in space, with identical ground controls. Post-flight biochemical and multi-omics analyses (proteomics, lipidomics, polysaccharides, pigments, vitamins) showed no significant differences in biomass composition between space- and ground-grown samples. Protein, carbohydrate, lipid, and monosaccharide profiles were highly similar, with only 3% of proteins differentially expressed. However, excreted polysaccharides increased by 238% at the highest light intensity in space. Overall, metabolism was primarily driven by light and operational conditions rather than spaceflight itself. These findings confirm the stability and suitability of L. indica for regenerative life support systems in long-duration missions. [doi:10.25345/C52J68J3V] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Limnospira indica ; Cyanobacteria ; Photobioreactors ; MELiSSA ; Life Support System ; Space Flight ; International Space Station ; DatasetType:Other (Proteomics)

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Principal Investigators:
(in alphabetical order) 		Cecile Renaud, Umons, Belgium
Submitting User: CecRen
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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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