Campus Units

Biochemistry, Biophysics and Molecular Biology, Center for Metabolic Biology, Center for Biorenewable Chemicals

Document Type

Article

Publication Version

Published Version

Publication Date

2014

Journal or Book Title

PLoS ONE

Volume

9

Issue

5

First Page

1

Last Page

8

DOI

10.1371/journal.pone.0096621

Abstract

This study explored the potential of using Rhodosprillum rubrum as the biological vehicle to convert chemically simple carbon precursors to a value-added bio-based product, the biopolymer PHA. R. rubrum strains were bioengineered to overexpress individually or in various combinations, six PHA biosynthetic genes (phaC1, phaA, phaB, phaC2, phaC3, and phaJ), and the resulting nine over-expressing strains were evaluated to assess the effect on PHA content, and the effect on growth. These experiments were designed to genetically evaluate: 1) the role of each apparently redundant PHA polymerase in determining PHA productivity; 2) identify the key gene(s) within the pha biosynthetic operon that determines PHA productivity; and 3) the role of phaJ to support PHA productivity. The result of overexpressing each PHA polymerase-encoding gene indicates that phaC1 and phaC2 are significant contributors to PHA productivity, whereas phaC3 has little effect. Similarly, over-expressing individually or in combination the three PHA biosynthesis genes located in the pha operon indicates that phaB is the key determinant of PHA productivity. Finally, analogous experiments indicate that phaJ does not contribute significantly to PHA productivity. These bioengineering strains achieved PHA productivity of up to 30% of dry biomass, which is approximately 2.5-fold higher than the non-engineered control strain, indicating the feasibility of using this approach to produce value added bio-based products.

Comments

This is an article from PLoS ONE 9 (2014): 1, doi:10.1371/journal.pone.0096621. Posted with permission.

Rights

This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Copyright Owner

Jin, Nikolau

Language

en

File Format

application/pdf

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