Essential metabolism for a minimal cell

Author:

Breuer Marian1ORCID,Earnest Tyler M1ORCID,Merryman Chuck2,Wise Kim S2,Sun Lijie2,Lynott Michaela R2,Hutchison Clyde A2,Smith Hamilton O2,Lapek John D3,Gonzalez David J3,de Crécy-Lagard Valérie4,Haas Drago4,Hanson Andrew D5,Labhsetwar Piyush1,Glass John I2,Luthey-Schulten Zaida1ORCID

Affiliation:

1. Department of Chemistry, University of Illinois at Urbana-Champaign, Urbana, United States

2. J Craig Venter Institute, La Jolla, United States

3. Department of Pharmacology and School of Pharmacy, University of California at San Diego, La Jolla, United States

4. Department of Microbiology and Cell Science, University of Florida, Gainesville, United States

5. Horticultural Sciences Department, University of Florida, Gainesville, United States

Abstract

JCVI-syn3A, a robust minimal cell with a 543 kbp genome and 493 genes, provides a versatile platform to study the basics of life. Using the vast amount of experimental information available on its precursor, Mycoplasma mycoides capri, we assembled a near-complete metabolic network with 98% of enzymatic reactions supported by annotation or experiment. The model agrees well with genome-scale in vivo transposon mutagenesis experiments, showing a Matthews correlation coefficient of 0.59. The genes in the reconstruction have a high in vivo essentiality or quasi-essentiality of 92% (68% essential), compared to 79% in silico essentiality. This coherent model of the minimal metabolism in JCVI-syn3A at the same time also points toward specific open questions regarding the minimal genome of JCVI-syn3A, which still contains many genes of generic or completely unclear function. In particular, the model, its comparison to in vivo essentiality and proteomics data yield specific hypotheses on gene functions and metabolic capabilities; and provide suggestions for several further gene removals. In this way, the model and its accompanying data guide future investigations of the minimal cell. Finally, the identification of 30 essential genes with unclear function will motivate the search for new biological mechanisms beyond metabolism.

Funder

National Science Foundation

J Craig Venter Institute

National Institutes of Health

University of California

Ray Thomas Edwards Foundation

U.S. Department of Energy

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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