Literature DB >> 20833322

Using synthetic biology to understand the evolution of gene expression.

Travis S Bayer1.   

Abstract

The evolution of phenotype is often based on changes in gene expression rather than changes in protein-coding sequence. Gene expression is controlled by complex networks of interacting regulators that act through a variety of biochemical mechanisms. Perturbation of these networks can have profound effects on the fitness of organisms. This highlights an important challenge: the investigation of whether the mechanisms and network architectures we observe in Nature evolved in response to selective pressure--and, if so, what that pressure might have been--or whether the architectures are a result of non-adaptive forces. Synthetic biologists aim to construct artificial genetic and biological systems to increase our understanding of Nature as well as for a number of biotechnological applications. In this review, I will highlight how engineering 'synthetic' control of gene expression provides a way to test evolutionary hypotheses. Synthetic biology might allow us to investigate experimentally the evolutionary paths not taken by extant organisms.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2010        PMID: 20833322     DOI: 10.1016/j.cub.2010.06.049

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  5 in total

Review 1.  Synthetic biology: integrated gene circuits.

Authors:  Nagarajan Nandagopal; Michael B Elowitz
Journal:  Science       Date:  2011-09-02       Impact factor: 47.728

Review 2.  The Astrobiology Primer v2.0.

Authors:  Shawn D Domagal-Goldman; Katherine E Wright; Katarzyna Adamala; Leigh Arina de la Rubia; Jade Bond; Lewis R Dartnell; Aaron D Goldman; Kennda Lynch; Marie-Eve Naud; Ivan G Paulino-Lima; Kelsi Singer; Marina Walther-Antonio; Ximena C Abrevaya; Rika Anderson; Giada Arney; Dimitra Atri; Armando Azúa-Bustos; Jeff S Bowman; William J Brazelton; Gregory A Brennecka; Regina Carns; Aditya Chopra; Jesse Colangelo-Lillis; Christopher J Crockett; Julia DeMarines; Elizabeth A Frank; Carie Frantz; Eduardo de la Fuente; Douglas Galante; Jennifer Glass; Damhnait Gleeson; Christopher R Glein; Colin Goldblatt; Rachel Horak; Lev Horodyskyj; Betül Kaçar; Akos Kereszturi; Emily Knowles; Paul Mayeur; Shawn McGlynn; Yamila Miguel; Michelle Montgomery; Catherine Neish; Lena Noack; Sarah Rugheimer; Eva E Stüeken; Paulina Tamez-Hidalgo; Sara Imari Walker; Teresa Wong
Journal:  Astrobiology       Date:  2016-08       Impact factor: 4.335

3.  Nonlinear fitness consequences of variation in expression level of a eukaryotic gene.

Authors:  Joshua S Rest; Christopher M Morales; John B Waldron; Dana A Opulente; Julius Fisher; Seungjae Moon; Kevin Bullaughey; Lucas B Carey; Demitri Dedousis
Journal:  Mol Biol Evol       Date:  2012-10-27       Impact factor: 16.240

Review 4.  Synthetic biology for pharmaceutical drug discovery.

Authors:  Jean-Yves Trosset; Pablo Carbonell
Journal:  Drug Des Devel Ther       Date:  2015-12-03       Impact factor: 4.162

5.  Evolutionary regain of lost gene circuit function.

Authors:  Mirna Kheir Gouda; Michael Manhart; Gábor Balázsi
Journal:  Proc Natl Acad Sci U S A       Date:  2019-11-21       Impact factor: 11.205

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.