Evidence map›Paper›PMID 39306586›Full record

ArticleMetabolomics : Official journal of the Metabolomic Society2024

Intracellular metabolomic profiling of Picochlorum sp. under diurnal conditions mimicking outdoor light, temperature, and seasonal variations.

Prem Pritam, Suvarna Manjre, Manish R Shukla, Meghna Srivastava, Charulata B Prasannan, Damini Jaiswal, Rose Davis, Santanu Dasgupta, Pramod P Wangikar

Abstract read
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In one paragraph

Article in Metabolomics : Official journal of the Metabolomic Society, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

9 authors.

Prem PritamDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Suvarna ManjreSynthetic Biology Research and Development Group, Reliance Technology Group R&D Center, Reliance Industries Limited, Reliance Corporate Park, Ghansoli, Navi Mumbai, Maharashtra, 400701, India.
Manish R ShuklaSynthetic Biology Research and Development Group, Reliance Technology Group R&D Center, Reliance Industries Limited, Reliance Corporate Park, Ghansoli, Navi Mumbai, Maharashtra, 400701, India.
Meghna SrivastavaDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Charulata B PrasannanDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Damini JaiswalDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Rose DavisDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Santanu DasguptaSynthetic Biology Research and Development Group, Reliance Technology Group R&D Center, Reliance Industries Limited, Reliance Corporate Park, Ghansoli, Navi Mumbai, Maharashtra, 400701, India. santanu.dasgupta@ril.com.
Pramod P WangikarDepartment of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India. wangikar@iitb.ac.in.

Funding

Department of Biotechnology, Ministry of Science and Technology, India RD/0114-DBTPA30-002
6 · The paper itself

Abstract

introductionThis study focuses on metabolic profiling of a robust marine green algal strain Picochlorum sp. MCC39 that exhibits resilient growth under diverse outdoor open pond conditions. Given its potential for producing high-value chemicals through metabolic engineering, understanding its metabolic dynamics is crucial for pathway modification.

objectivesThis study primarily aimed to investigate the metabolic response of Picochlorum sp. to environmental changes. Unlike heterotrophs, algae are subject to diurnal light and temperature, which affect their growth rates and metabolism. Using an environmental photobioreactor (ePBR), we explored how the algal strain adapts to fluctuations in light intensities and temperature within a simulated pond environment.

methodsWe performed a reverse phase ion pairing-LC/MS-MS based metabolome profiling of the MCC39 strain cultivated in simulated pond conditions in ePBR. The experimental setup included diurnal and bi-seasonal variations in light intensities and temperature.

resultsThe metabolome profile revealed significant differences in 85 metabolites, including amino acids, carboxylic acids, sugar phosphates, purines, pyrimidines, and dipeptides, which exhibited up to 25-fold change in relative concentration with diurnal variations. Seasonal variations also influenced the production of storage molecules, revealing a discernible pattern. The accumulation pattern of metabolites involved in cellular wall formation and energy generation indicated a well-coordinated initiation of photosynthesis and the Calvin cycle with the onset of light.

conclusionThe results contribute to a deeper understanding of the adaptability and metabolic response of Picochlorum sp., laying the groundwork for future advancements in algal strain modification.

Indexed as

LightMetabolomeMetabolomicsSeasonsTemperatureChlorophytaChromatography, LiquidTandem Mass SpectrometryDiurnal variationsEnvironmental photobioreactorMetabolomicsMicroalgaeOutdoor pondSeasonal variations

Identifiers

PMID39306586

What OpenQuestion holds

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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 OpenQuestion graph.