Pangenome flux balance analysis toward panphenomes

Charles J. Norsigian, Xin Fang, Bernhard O. Palsson, Jonathan M. Monk

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

Studies of the pangenome have been empowered by an exponentially increasing amount of strain-specific genome sequencing data. With this data deluge comes a need for new tools to contextualize, analyze, and interpret such a vast amount of information. Network reconstructions, genome-scale metabolic models (GEMs), and the corresponding computational analysis frameworks such as flux balance analysis (FBA) have been proven useful toward this end. Network reconstructions can be used to interpret genomic variation not just from a single strain but for an entire species. By applying these approaches at the pangenome scale, it becomes possible to systematically evaluate phenotypic properties for an entire species thus enabling the study of a panphenome directly from a pangenome. Applying insights gained from analysis of the panphenome has diverse implications with applications ranging from human health to metabolic engineering. The future of pangenomics will include panphenomic analyses, thus supplementing traditional pangenomic analyses and helping to address the Big-data-to-knowledge grand challenge of analyzing thousands of genomic sequences.

Original languageEnglish
Title of host publicationThe Pangenome
Subtitle of host publicationDiversity, Dynamics and Evolution of Genomes
PublisherSpringer International Publishing
Pages219-232
Number of pages14
ISBN (Electronic)9783030382810
ISBN (Print)9783030382803
DOIs
Publication statusPublished - 22 Jun 2020

Bibliographical note

Publisher Copyright:
© The Author(s) 2020.

Other keywords

  • Comparative systems biology
  • Flux balance analysis
  • Genome-scale modeling
  • Multistrain
  • Panphenome

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