High-Throughput Functional Genomics for Energy Production

Jacob A. Fenster; Carrie A. Eckert

doi:10.1016/j.copbio.2020.09.010

High-Throughput Functional Genomics for Energy Production

Jacob A. Fenster
, Carrie A. Eckert

Research output: Contribution to journal › Review article › peer-review

11 Scopus citations

Abstract

Functional genomics remains a foundational field for establishing genotype-phenotype relationships that enable strain engineering. High-throughput (HTP) methods accelerate the Design-Build-Test-Learn cycle that currently drives synthetic biology towards a forward engineering future. Trackable mutagenesis techniques including transposon insertion sequencing and CRISPR-Cas-mediated genome editing allow for rapid fitness profiling of a collection, or library, of mutants to discover beneficial mutations. Due to the relative speed of these experiments compared to adaptive evolution experiments, iterative rounds of mutagenesis can be implemented for next-generation metabolic engineering efforts to design complex production and tolerance phenotypes. Additionally, the expansion of these mutagenesis techniques to novel bacteria are opening up industrial microbes that show promise for establishing a bio-based economy.

Original language	English
Pages (from-to)	7-14
Number of pages	8
Journal	Current Opinion in Biotechnology
Volume	67
DOIs	https://doi.org/10.1016/j.copbio.2020.09.010
State	Published - Feb 2021
Externally published	Yes

Funding

We thank Emily Freed for her critical reading of the manuscript. Funding was provided by The Center for Bioenergy Innovation, a U.S. Department of Energy Research Center supported by the Office of Biological and Environmental Research in the DOE Office of Science We thank Emily Freed for her critical reading of the manuscript. Funding was provided by The Center for Bioenergy Innovation, a U.S. Department of Energy Research Center supported by the Office ofBiological and Environmental Research in the DOE Office of Science

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10.1016/j.copbio.2020.09.010

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title = "High-Throughput Functional Genomics for Energy Production",

abstract = "Functional genomics remains a foundational field for establishing genotype-phenotype relationships that enable strain engineering. High-throughput (HTP) methods accelerate the Design-Build-Test-Learn cycle that currently drives synthetic biology towards a forward engineering future. Trackable mutagenesis techniques including transposon insertion sequencing and CRISPR-Cas-mediated genome editing allow for rapid fitness profiling of a collection, or library, of mutants to discover beneficial mutations. Due to the relative speed of these experiments compared to adaptive evolution experiments, iterative rounds of mutagenesis can be implemented for next-generation metabolic engineering efforts to design complex production and tolerance phenotypes. Additionally, the expansion of these mutagenesis techniques to novel bacteria are opening up industrial microbes that show promise for establishing a bio-based economy.",

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AU - Eckert, Carrie A.

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AB - Functional genomics remains a foundational field for establishing genotype-phenotype relationships that enable strain engineering. High-throughput (HTP) methods accelerate the Design-Build-Test-Learn cycle that currently drives synthetic biology towards a forward engineering future. Trackable mutagenesis techniques including transposon insertion sequencing and CRISPR-Cas-mediated genome editing allow for rapid fitness profiling of a collection, or library, of mutants to discover beneficial mutations. Due to the relative speed of these experiments compared to adaptive evolution experiments, iterative rounds of mutagenesis can be implemented for next-generation metabolic engineering efforts to design complex production and tolerance phenotypes. Additionally, the expansion of these mutagenesis techniques to novel bacteria are opening up industrial microbes that show promise for establishing a bio-based economy.

UR - https://www.scopus.com/pages/publications/85095731398

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DO - 10.1016/j.copbio.2020.09.010

M3 - Review article

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JO - Current Opinion in Biotechnology

JF - Current Opinion in Biotechnology

ER -

High-Throughput Functional Genomics for Energy Production

Abstract

Funding

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