Evidence map›Paper›PMID 39821501›Full record

ArticleApplied biochemistry and biotechnology2025

Metabolomic Analysis and Computational Biology Reveal the Potential Metabolic Pathways for Improvement of Fucoxanthin and Eicosapentaenoic Acid (EPA) Biosynthesis in Phaeodactylum tricornutum.

Caroline Schmitz, Maurício Luis Sforca, Marcelo Maraschin

Abstract read
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Article in Applied biochemistry and biotechnology, 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. Article
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

3 authors.

Caroline SchmitzFood Biotechnology Laboratory, University of Vale do Taquari - Univates, Lajeado, Rio Grande Do Sul, Brazil. carolineschmitz-bio@hotmail.com.ORCID http://orcid.org/0000-0002-9806-252X
Maurício Luis SforcaBrazilian Biosciences National Laboratory, Brazilian Center for Research in Energy and Materials - CNPEM, Campinas, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-3395-1684
Marcelo MaraschinPlant Morphogenesis and Biochemistry Laboratory, Federal University of Santa Catarina - UFSC, Florianopolis, Santa Catarina, Brazil.ORCID http://orcid.org/0000-0002-4146-4835

Funding

Laboratório Nacional de Biociências 23245
6 · The paper itself

Abstract

This work aims to provide a basis for the enhancement of fucoxanthin (FCX) and eicosapentaenoic acid (EPA) biosynthesis in the microalga Phaeodactylum tricornutum using metabolomics and computational biology. To achieve this, both targeted (UHPLC and GC-FID) and untargeted (FTIR and NMR) analyses were conducted throughout various stages of cell cultivation. Targeted analyses revealed that EPA concentrations peaked at the end of the logarithmic growth phase, while fucoxanthin levels remained consistent from the onset of this phase through to the stationary phase. Untargeted analyses provided metabolic profiles by correlating FTIR absorbance bands with functional groups. When combined with cultivation strategies designed to improve EPA and FCX content, the optimal time for harvesting cells was identified as the end of the logarithmic phase. NMR further highlighted potentially key metabolic pathways for optimizing EPA and FCX production in Phaeodactylum tricornutum, particularly those involved in glyoxylate and dicarboxylate metabolism.

Indexed as

Computational BiologyDiatomsEicosapentaenoic AcidMetabolic Networks and PathwaysMetabolomicsMicroalgaeXanthophyllsEicosapentaenoic AcidfucoxanthinXanthophyllsMetabolic fluxMetabolic pathwayMetabolic profileMetabolomeOmega-3 fatty acids

Identifiers

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.