Flux modeling for monolignol biosynthesis

Jack P. Wang, Megan L. Matthews, Punith P. Naik, Cranos M. Williams, Joel J. Ducoste, Ronald R. Sederoff, Vincent L. Chiang

Research output: Contribution to journalReview articlepeer-review

Abstract

The pathway of monolignol biosynthesis involves many components interacting in a metabolic grid to regulate the supply and ratios of monolignols for lignification. The complexity of the pathway challenges any intuitive prediction of the output without mathematical modeling. Several models have been presented to quantify the metabolic flux for monolignol biosynthesis and the regulation of lignin content, composition, and structure in plant cell walls. Constraint-based models using data from transgenic plants were formulated to describe steady-state flux distribution in the pathway. Kinetic-based models using enzyme reaction and inhibition constants were developed to predict flux dynamics for monolignol biosynthesis in wood-forming cells. This review summarizes the recent progress in flux modeling and its application to lignin engineering for improved plant development and utilization.

Original languageEnglish (US)
Pages (from-to)187-192
Number of pages6
JournalCurrent Opinion in Biotechnology
Volume56
DOIs
StatePublished - Apr 2019
Externally publishedYes

ASJC Scopus subject areas

  • Biotechnology
  • Bioengineering
  • Biomedical Engineering

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