Systems-level design principles of metabolic rewiring in an animal
Xuhang Li,
Hefei Zhang,
Thomas Hodder,
Wen Wang,
Chad L. Myers,
L. Safak Yilmaz and
Albertha J. M. Walhout ()
Additional contact information
Xuhang Li: University of Massachusetts Chan Medical School
Hefei Zhang: University of Massachusetts Chan Medical School
Thomas Hodder: University of Minnesota
Wen Wang: University of Minnesota
Chad L. Myers: University of Minnesota
L. Safak Yilmaz: University of Massachusetts Chan Medical School
Albertha J. M. Walhout: University of Massachusetts Chan Medical School
Nature, 2025, vol. 640, issue 8057, 203-211
Abstract:
Abstract The regulation of metabolism is vital to any organism and can be achieved by transcriptionally activating or repressing metabolic genes1–3. Although many examples of transcriptional metabolic rewiring have been reported4, a systems-level study of how metabolism is rewired in response to metabolic perturbations is lacking in any animal. Here we apply Worm Perturb-Seq (WPS)—a high-throughput method combining whole-animal RNA-interference and RNA-sequencing5—to around 900 metabolic genes in the nematode Caenorhabditis elegans. We derive a metabolic gene regulatory network (mGRN) in which 385 perturbations are connected to 9,414 genes by more than 110,000 interactions. The mGRN has a highly modular structure in which 22 perturbation clusters connect to 44 gene expression programs. The mGRN reveals different modes of transcriptional rewiring from simple reaction and pathway compensation to rerouting and more complex network coordination. Using metabolic network modelling, we identify a design principle of transcriptional rewiring that we name the compensation–repression (CR) model. The CR model explains most transcriptional responses in metabolic genes and reveals a high level of compensation and repression in five core metabolic functions related to energy and biomass. We provide preliminary evidence that the CR model may also explain transcriptional metabolic rewiring in human cells.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41586-025-08636-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:nature:v:640:y:2025:i:8057:d:10.1038_s41586-025-08636-5
Ordering information: This journal article can be ordered from
https://www.nature.com/
DOI: 10.1038/s41586-025-08636-5
Access Statistics for this article
Nature is currently edited by Magdalena Skipper
More articles in Nature from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().