Evidence map›Paper›PMID 40691609›Full record

ArticleBiotechnology for biofuels and bioproducts2025

Nitrogen limitation causes a seismic shift in redox state and phosphorylation of proteins implicated in carbon flux and lipidome remodeling in Rhodotorula toruloides.

Austin Gluth, Jeffrey J Czajka, Xiaolu Li, Kent J Bloodsworth, Josie G Eder, Jennifer E Kyle, Rosalie K Chu, Bin Yang, Wei-Jun Qian, Pavlo Bohutskyi and 1 more

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Article in Biotechnology for biofuels and bioproducts, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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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

5 citing papers in PubMed.

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4 · The record

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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

11 authors.

Austin GluthBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Jeffrey J CzajkaEnergy and Environment Directorate, Pacific Northwest National Laboratory, Richland, WA, USA.
Xiaolu LiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Kent J BloodsworthBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Josie G EderBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Jennifer E KyleBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Rosalie K ChuBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Bin YangDepartment of Biological Systems Engineering, Washington State University, Richland, WA, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Pavlo BohutskyiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Tong ZhangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA. tong.zhang@pnnl.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOleaginous yeast are prodigious producers of oleochemicals, offering alternative and secure sources for applications in foodstuff, skincare, biofuels, and bioplastics. Nitrogen starvation is the primary strategy used to induce oil accumulation in oleaginous yeast as part of a global stress response. While research has demonstrated that post-translational modifications (PTMs), including phosphorylation and protein cysteine thiol oxidation (redox PTMs), are involved in signaling pathways that regulate stress responses in metazoa and algae, their role in oleaginous yeast remain understudied and unexplored.

resultsTowards linking the yeast oleaginous phenotype to protein function, we integrated lipidomics, redox proteomics, and phosphoproteomics to investigate Rhodotorula toruloides under nitrogen-rich and starved conditions over time. Our lipidomics results unearthed interactions involving sphingolipids and cardiolipins with ER stress and mitophagy. Our redox and phosphoproteomics data highlighted the roles of the AMPK, TOR, and calcium signaling pathways in regulation of lipogenesis, autophagy, and oxidative stress response. As a first, we also demonstrated that lipogenic enzymes including fatty acid synthase are modified as a consequence of shifts in cellular redox states due to nutrient availability.

conclusionsWe conclude that lipid accumulation is largely a consequence of carbon rerouting and autophagy governed by changes to PTMs, and not increases in the abundance of enzymes involved in central carbon metabolism and fatty acid biosynthesis. Our systems-level approach sets the stage for acquiring multidimensional data sets for protein structural modeling and predicting the functional relevance of PTMs using Artificial Intelligence/Machine Learning (AI/ML). Coupled to those bioinformatics approaches, the putative PTM switches that we delineate will enable advanced metabolic engineering strategies to decouple lipid accumulation from nitrogen limitation.

Identifiers

PMID40691609
PMCPMC12278674

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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.