Literature DB >> 28801037

Genome modularity and synthetic biology: Engineering systems.

Milsee Mol1, Ritika Kabra1, Shailza Singh2.   

Abstract

Whole genome sequencing projects running in various laboratories around the world has generated immense data. A systematic phylogenetic analysis of this data shows that genome complexity goes on decreasing as it evolves, due to its modular nature. This modularity can be harnessed to minimize the genome further to reduce it with the bare minimum essential genes. A reduced modular genome, can fuel progress in the area of synthetic biology by providing a ready to use plug and play chassis. Advances in gene editing technology such as the use of tailor made synthetic transcription factors will further enhance the availability of synthetic devices to be applied in the fields of environment, agriculture and health.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2017        PMID: 28801037     DOI: 10.1016/j.pbiomolbio.2017.08.002

Source DB:  PubMed          Journal:  Prog Biophys Mol Biol        ISSN: 0079-6107            Impact factor:   3.667


  4 in total

Review 1.  Genome-driven cell engineering review: in vivo and in silico metabolic and genome engineering.

Authors:  Sophie Landon; Joshua Rees-Garbutt; Lucia Marucci; Claire Grierson
Journal:  Essays Biochem       Date:  2019-07-03       Impact factor: 8.000

2.  On the role of sparseness in the evolution of modularity in gene regulatory networks.

Authors:  Carlos Espinosa-Soto
Journal:  PLoS Comput Biol       Date:  2018-05-18       Impact factor: 4.475

3.  Computer-Aided Whole-Cell Design: Taking a Holistic Approach by Integrating Synthetic With Systems Biology.

Authors:  Lucia Marucci; Matteo Barberis; Jonathan Karr; Oliver Ray; Paul R Race; Miguel de Souza Andrade; Claire Grierson; Stefan Andreas Hoffmann; Sophie Landon; Elibio Rech; Joshua Rees-Garbutt; Richard Seabrook; William Shaw; Christopher Woods
Journal:  Front Bioeng Biotechnol       Date:  2020-08-07

4.  LoxTnSeq: random transposon insertions combined with cre/lox recombination and counterselection to generate large random genome reductions.

Authors:  Daniel Shaw; Samuel Miravet-Verde; Carlos Piñero-Lambea; Luis Serrano; Maria Lluch-Senar
Journal:  Microb Biotechnol       Date:  2020-12-16       Impact factor: 5.813

  4 in total

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