Essential metabolism for a minimal cell

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.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jan 18, 2019
Source ID
10.7554/elife.36842

Entities

People

  • Andrew D. Hanson
  • Chuck Merryman
  • Clyde A. Hutchison
  • David J. Gonzalez
  • Drago Haas
  • Hamilton O. Smith
  • John D Lapek
  • John I Glass
  • Kim S. Wise
  • Lijie Sun
  • Marian Breuer
  • Michaela R Lynott
  • Piyush Labhsetwar
  • Tyler Earnest
  • Valérie De Crécy-lagard
  • Zaida Luthey-Schulten

Organizations

  • J. Craig Venter Institute
  • National Institutes of Health
  • National Science Foundation
  • Ray Thomas Edwards Foundation
  • United States Department of Energy
  • University of California
  • University of California, San Diego
  • University of Florida
  • University of Illinois Urbana–Champaign

Tags

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Molecular Genetics
  • Systems Analysis and Design

Technology Areas

  • Biotechnology