ArticleNature communications2025
Reprogramming yeast metabolism for customized starch-rich micro-grain through low-carbon microbial manufacturing.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.
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.
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.
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Who cites it
5 citing papers in PubMed.
- Adaptive Evolution Identifies MHY1-Mediated Transcriptional Reprogramming for Polyphenol Tolerance in Yarrowia lipolytica.Biotechnology journal · 2026Article
- Intron location and sequence modulate gene expression in Yarrowia lipolytica.Nucleic acids research · 2026Article
- Regulatory factors of starch metabolism in cereal endosperm.Plant molecular biology · 2026Review
- Yeast-driven biomanufacturing in space: synergizing cellular agriculture for sustainable extraterrestrial habitats.NPJ microgravity · 2026Review
- A Paradigm Shift in Microbial Protein Manufacturing.Life (Basel, Switzerland) · 2026Review
Corrections and comments
- Erratum issued
Authors and funding
11 authors.
Funding
Abstract
Starch is a primary food ingredient and industrial feedstock. Low-carbon microbial manufacturing offers a carbon-neutral/negative arable land-independent strategy for starch production. Here, we reconfigure the oleaginous yeast as a starch-rich micro-grain producer by rewiring the starch biosynthesis and gluconeogenesis pathways and regulating cell morphology. With the CO
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Registered trials
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.