From plant metabolic engineering to plant synthetic biology: The evolution of the design/build/test/learn cycle

Plant Science ◽  
2018 ◽  
Vol 273 ◽  
pp. 3-12 ◽  
Author(s):  
Benjamin Pouvreau ◽  
Thomas Vanhercke ◽  
Surinder Singh
2021 ◽  
Vol 12 ◽  
Author(s):  
Savio S. Ferreira ◽  
Mauricio S. Antunes

Phenylpropanoids comprise a large class of specialized plant metabolites with many important applications, including pharmaceuticals, food nutrients, colorants, fragrances, and biofuels. Therefore, much effort has been devoted to manipulating their biosynthesis to produce high yields in a more controlled manner in microbial and plant systems. However, current strategies are prone to significant adverse effects due to pathway complexity, metabolic burden, and metabolite bioactivity, which still hinder the development of tailor-made phenylpropanoid biofactories. This gap could be addressed by the use of biosensors, which are molecular devices capable of sensing specific metabolites and triggering a desired response, as a way to sense the pathway’s metabolic status and dynamically regulate its flux based on specific signals. Here, we provide a brief overview of current research on synthetic biology and metabolic engineering approaches to control phenylpropanoid synthesis and phenylpropanoid-related biosensors, advocating for the use of biosensors and genetic circuits as a step forward in plant synthetic biology to develop autonomously-controlled phenylpropanoid-producing plant biofactories.


2018 ◽  
Vol 15 (1) ◽  
Author(s):  
Robert Sidney Cox ◽  
Curtis Madsen ◽  
James Alastair McLaughlin ◽  
Tramy Nguyen ◽  
Nicholas Roehner ◽  
...  

AbstractSynthetic biology builds upon the techniques and successes of genetics, molecular biology, and metabolic engineering by applying engineering principles to the design of biological systems. The field still faces substantial challenges, including long development times, high rates of failure, and poor reproducibility. One method to ameliorate these problems would be to improve the exchange of information about designed systems between laboratories. The synthetic biology open language (SBOL) has been developed as a standard to support the specification and exchange of biological design information in synthetic biology, filling a need not satisfied by other pre-existing standards. This document details version 2.2.0 of SBOL that builds upon version 2.1.0 published in last year’s JIB special issue. In particular, SBOL 2.2.0 includes improved description and validation rules for genetic design provenance, an extension to support combinatorial genetic designs, a new class to add non-SBOL data as attachments, a new class for genetic design implementations, and a description of a methodology to describe the entire design-build-test-learn cycle within the SBOL data model.


Planta Medica ◽  
2013 ◽  
Vol 79 (13) ◽  
Author(s):  
A Sarrion-Perdigones ◽  
M Vazquez-Vilar ◽  
J Palaci ◽  
A Granell ◽  
D Orzáez

Metabolites ◽  
2021 ◽  
Vol 11 (1) ◽  
pp. 35
Author(s):  
An N. T. Phan ◽  
Lars M. Blank

In times of ever-increasing demand for chemicals and the subsequent increase in CO2 in the atmosphere, we have to intensify our efforts to establish a circular (bio) economy [...]


2015 ◽  
Vol 33 (2) ◽  
pp. 120-131 ◽  
Author(s):  
Nicholas J. Baltes ◽  
Daniel F. Voytas

2017 ◽  
Vol 241 ◽  
pp. 430-438 ◽  
Author(s):  
Chonglong Wang ◽  
Bakht Zada ◽  
Gongyuan Wei ◽  
Seon-Won Kim

2012 ◽  
Vol 65 ◽  
pp. 82-89 ◽  
Author(s):  
Eric Shiue ◽  
Kristala L.J. Prather

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