Evidence map›Paper›PMID 39921801›Full record

ArticleAMB Express2025

Substrate-dependent lipid and β-carotene production in engineered Yarrowia lipolytica: a comparative study.

Raúl Robles-Iglesias, Jean-Marc Nicaud, María C Veiga, Christian Kennes

Abstract read
In one paragraph

Article in AMB Express, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Raúl Robles-IglesiasChemical Engineering Laboratory, BIOENGIN group, Faculty of Sciences and Interdisciplinary Centre of Chemistry and Biology, Centro Interdisciplinar de Química y Biología (CICA), University of La Coruña, Rúa da Fraga 10, 15008, La Coruña, Spain.ORCID http://orcid.org/0000-0002-6077-8194
Jean-Marc NicaudUniversité Paris-Saclay, INRAE, AgroParisTech, Micalis Institute, 78350, Jouy-en-Josas, France.
María C VeigaChemical Engineering Laboratory, BIOENGIN group, Faculty of Sciences and Interdisciplinary Centre of Chemistry and Biology, Centro Interdisciplinar de Química y Biología (CICA), University of La Coruña, Rúa da Fraga 10, 15008, La Coruña, Spain.ORCID http://orcid.org/0000-0002-5275-5179
Christian KennesChemical Engineering Laboratory, BIOENGIN group, Faculty of Sciences and Interdisciplinary Centre of Chemistry and Biology, Centro Interdisciplinar de Química y Biología (CICA), University of La Coruña, Rúa da Fraga 10, 15008, La Coruña, Spain. Kennes@udc.es.ORCID http://orcid.org/0000-0002-3013-6713

Funding

Ministerio de Asuntos Económicos y Transformación Digital, Gobierno de España TED2021-130055B-I00Ministerio de Ciencia e Innovación PID2020-117805RB-I00Xunta de Galicia ED431C 2021/55
6 · The paper itself

Abstract

This study evaluates the influence of various substrates (glucose, glycerol, and acetic acid) on the growth and metabolite production of Yarrowia lipolytica in fed-batch bioreactors. The primary aim is to understand how substrate choice impacts lipid and β-carotene production, critical for bioenergy and bioproducts. The study demonstrates that the choice of substrate significantly influences biomass yield, lipid content, and β-carotene levels. Among the substrates tested, glycerol yielded the highest biomass concentration of 5.31 g/L. Glucose led to the highest lipid content, with a yield of 35.8% (g lipids/g biomass), while acetic acid resulted in the highest lipid concentration, reaching 1.42 g/L. In terms of β-carotene production, glucose showed the highest content per cell at 63.3 mg/g, whereas glycerol led to the highest overall concentration of 202 mg/L. These findings highlight Y. lipolytica's versatility and potential as a flexible platform to produce lipids and β-carotene, which are essential for developing sustainable biofuels and bioproducts. The study underscores the significant variations in metabolite production based on substrate choice, emphasizing on the importance of tailored strategies to optimize industrial applications. Further research may explore optimizing fermentation conditions to enhance production yields, making this yeast a viable option for various biotechnological applications.

Indexed as

Carboxylic acidFed-batch bioreactorMicrobial oilsYarrowia lipolyticaΒ-carotene

Identifiers

PMID39921801
PMCPMC11807037

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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.