Abstract
The application of genome-scale technologies, both experimental and in silico, to industrial biotechnology has allowed improving the conversion of biomass-derived feedstocks to chemicals, materials and fuels through microbial fermentation. In particular, due to rapidly decreasing costs and its suitability for identifying the genetic determinants of a phenotypic trait of interest, whole genome sequencing is expected to be one of the major driving forces in industrial biotechnology in the coming years. We present some of the recent studies that have successfully applied high-throughput sequencing technologies for finding the underlying molecular mechanisms for (a) improved carbon source utilization, (b) increased product formation, and (c) stress tolerance. We also discuss the strengths and weaknesses of different strategies for mapping industrially relevant genotype-to-phenotype links including exploiting natural diversity in natural isolates or crosses between isolates, classical mutagenesis and evolutionary engineering.
Highlights
The field of industrial biotechnology requires rapid and efficient mutagenesis and screening or by evolutionary engineering, where microbial cell factory design and construction for production of fuels, selective pressure is applied to confer a desirable phenotype
The application of genome-scale technologies, both experimental and in silico, to industrial biotechnology has allowed improving the conversion of biomass-derived feedstocks to chemicals, materials and fuels through microbial fermentation
The problem with microbial strains that have been process starts with the identification of a set of genetic target improved by classical mutagenesis or evolutionary processes is that the modifications anticipated to improve yield, productivity, robustness exact genetic modification or resulting genotype that leads to the or other performance relevant features
Summary
The field of industrial biotechnology requires rapid and efficient mutagenesis and screening or by evolutionary engineering, where microbial cell factory design and construction for production of fuels, selective pressure is applied to confer a desirable phenotype Tools from systems biology (Figure 1) have offered new construction have dramatically expanded due to advances in DNA opportunities for establishing links between genotype and phenotype synthesis and sequencing, moving from narrow studies focused on a and, hereby, allow for combinations of random and rational few genes to broad and deep searches that seek to optimize traits at approaches to strain improvement (Boyle and Gill, 2012). The genome-scale level (Lewis et al, 2012) Despite these advances, what has revolutionized the field is the ability to perform deep our incomplete understanding of the genetic basis of complex cellular sequencing of several microbial cell factories with decreasing cost to processes makes target identification a key challenge in strain efficiently search genome-wide spaces for genes conferring desired engineering. In this review we present some of the recent studies that have successfully applied new highthroughput sequencing technologies for finding the underlying molecular mechanisms for a derived or natural phenotype for metabolic engineering applications
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