Literature DB >> 35794472

C. elegans as a model for inter-individual variation in metabolism.

Olga Ponomarova1, Yong-Uk Lee1, Gaotian Zhang2, Bennett W Fox3, Gabrielle E Giese1, Melissa Walker1, Nicole M Roberto2, Huimin Na1, Pedro R Rodrigues3, Brian J Curtis3, Aiden R Kolodziej3, Timothy A Crombie2, Stefan Zdraljevic2, L Safak Yilmaz1, Erik C Andersen4, Frank C Schroeder5, Albertha J M Walhout6.   

Abstract

Individuals can exhibit differences in metabolism that are caused by the interplay of genetic background, nutritional input, microbiota and other environmental factors1-4. It is difficult to connect differences in metabolism to genomic variation and derive underlying molecular mechanisms in humans, owing to differences in diet and lifestyle, among others. Here we use the nematode Caenorhabditis elegans as a model to study inter-individual variation in metabolism. By comparing three wild strains and the commonly used N2 laboratory strain, we find differences in the abundances of both known metabolites and those that have not to our knowledge been previously described. The latter metabolites include conjugates between 3-hydroxypropionate (3HP) and several amino acids (3HP-AAs), which are much higher in abundance in one of the wild strains. 3HP is an intermediate in the propionate shunt pathway, which is activated when flux through the canonical, vitamin-B12-dependent propionate breakdown pathway is perturbed5. We show that increased accumulation of 3HP-AAs is caused by genetic variation in HPHD-1, for which 3HP is a substrate. Our results suggest that the production of 3HP-AAs represents a 'shunt-within-a-shunt' pathway to accommodate a reduction-of-function allele in hphd-1. This study provides a step towards the development of metabolic network models that capture individual-specific differences of metabolism and more closely represent the diversity that is found in entire species.
© 2022. The Author(s), under exclusive licence to Springer Nature Limited.

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Year:  2022        PMID: 35794472     DOI: 10.1038/s41586-022-04951-3

Source DB:  PubMed          Journal:  Nature        ISSN: 0028-0836            Impact factor:   69.504


  43 in total

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3.  Mouse strain-dependent variation in obesity and glucose homeostasis in response to high-fat feeding.

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Journal:  Diabetologia       Date:  2013-02-20       Impact factor: 10.122

4.  Screening newborns for inborn errors of metabolism by tandem mass spectrometry.

Authors:  Bridget Wilcken; Veronica Wiley; Judith Hammond; Kevin Carpenter
Journal:  N Engl J Med       Date:  2003-06-05       Impact factor: 91.245

5.  A Caenorhabditis elegans Genome-Scale Metabolic Network Model.

Authors:  L Safak Yilmaz; Albertha J M Walhout
Journal:  Cell Syst       Date:  2016-05-19       Impact factor: 10.304

Review 6.  The genetics of obesity: from discovery to biology.

Authors:  Ruth J F Loos; Giles S H Yeo
Journal:  Nat Rev Genet       Date:  2021-09-23       Impact factor: 53.242

Review 7.  Metabolic consequences of obesity and type 2 diabetes: Balancing genes and environment for personalized care.

Authors:  Nicolas J Pillon; Ruth J F Loos; Sally M Marshall; Juleen R Zierath
Journal:  Cell       Date:  2021-03-05       Impact factor: 66.850

8.  Metabolic network rewiring of propionate flux compensates vitamin B12 deficiency in C. elegans.

Authors:  Emma Watson; Viridiana Olin-Sandoval; Michael J Hoy; Chi-Hua Li; Timo Louisse; Victoria Yao; Akihiro Mori; Amy D Holdorf; Olga G Troyanskaya; Markus Ralser; Albertha Jm Walhout
Journal:  Elife       Date:  2016-07-06       Impact factor: 8.140

9.  Interplay between the human gut microbiome and host metabolism.

Authors:  Alessia Visconti; Caroline I Le Roy; Fabio Rosa; Niccolò Rossi; Tiphaine C Martin; Robert P Mohney; Weizhong Li; Emanuele de Rinaldis; Jordana T Bell; J Craig Venter; Karen E Nelson; Tim D Spector; Mario Falchi
Journal:  Nat Commun       Date:  2019-10-03       Impact factor: 14.919

10.  Modeling tissue-relevant Caenorhabditis elegans metabolism at network, pathway, reaction, and metabolite levels.

Authors:  Lutfu Safak Yilmaz; Xuhang Li; Shivani Nanda; Bennett Fox; Frank Schroeder; Albertha Jm Walhout
Journal:  Mol Syst Biol       Date:  2020-10       Impact factor: 11.429

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