Literature DB >> 26096262

Predicting the Genetic Stability of Engineered DNA Sequences with the EFM Calculator.

Benjamin R Jack1, Sean P Leonard1, Dennis M Mishler1, Brian A Renda1, Dacia Leon1, Gabriel A Suárez1, Jeffrey E Barrick1.   

Abstract

Unwanted evolution can rapidly degrade the performance of genetically engineered circuits and metabolic pathways installed in living organisms. We created the Evolutionary Failure Mode (EFM) Calculator to computationally detect common sources of genetic instability in an input DNA sequence. It predicts two types of mutational hotspots: deletions mediated by homologous recombination and indels caused by replication slippage on simple sequence repeats. We tested the performance of our algorithm on genetic circuits that were previously redesigned for greater evolutionary reliability and analyzed the stability of sequences in the iGEM Registry of Standard Biological Parts. More than half of the parts in the Registry are predicted to experience >100-fold elevated mutation rates due to the inclusion of unstable sequence configurations. We anticipate that the EFM Calculator will be a useful negative design tool for avoiding volatile DNA encodings, thereby increasing the evolutionary lifetimes of synthetic biology devices.

Entities:  

Keywords:  computer-aided design (CAD); design-build-test cycle; genetic engineering; genetic robustness; hypermutable site; metabolic engineering

Mesh:

Substances:

Year:  2015        PMID: 26096262      PMCID: PMC6884357          DOI: 10.1021/acssynbio.5b00068

Source DB:  PubMed          Journal:  ACS Synth Biol        ISSN: 2161-5063            Impact factor:   5.110


  17 in total

Review 1.  Fast, cheap and somewhat in control.

Authors:  Adam P Arkin; Daniel A Fletcher
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2.  Recombination frequency in plasmid DNA containing direct repeats--predictive correlation with repeat and intervening sequence length.

Authors:  Pedro H Oliveira; Francisco Lemos; Gabriel A Monteiro; Duarte M F Prazeres
Journal:  Plasmid       Date:  2008-08-03       Impact factor: 3.466

3.  Rate and molecular spectrum of spontaneous mutations in the bacterium Escherichia coli as determined by whole-genome sequencing.

Authors:  Heewook Lee; Ellen Popodi; Haixu Tang; Patricia L Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2012-09-18       Impact factor: 11.205

4.  Effect of repeat copy number on variable-number tandem repeat mutations in Escherichia coli O157:H7.

Authors:  Amy J Vogler; Christine Keys; Yoshimi Nemoto; Rebecca E Colman; Zack Jay; Paul Keim
Journal:  J Bacteriol       Date:  2006-06       Impact factor: 3.490

Review 5.  Engineering reduced evolutionary potential for synthetic biology.

Authors:  Brian A Renda; Michael J Hammerling; Jeffrey E Barrick
Journal:  Mol Biosyst       Date:  2014-02-21

6.  Biopython: freely available Python tools for computational molecular biology and bioinformatics.

Authors:  Peter J A Cock; Tiago Antao; Jeffrey T Chang; Brad A Chapman; Cymon J Cox; Andrew Dalke; Iddo Friedberg; Thomas Hamelryck; Frank Kauff; Bartek Wilczynski; Michiel J L de Hoon
Journal:  Bioinformatics       Date:  2009-03-20       Impact factor: 6.937

7.  Differential plague-transmission dynamics determine Yersinia pestis population genetic structure on local, regional, and global scales.

Authors:  Jessica M Girard; David M Wagner; Amy J Vogler; Christine Keys; Christopher J Allender; Lee C Drickamer; Paul Keim
Journal:  Proc Natl Acad Sci U S A       Date:  2004-05-20       Impact factor: 11.205

8.  Versatile and open software for comparing large genomes.

Authors:  Stefan Kurtz; Adam Phillippy; Arthur L Delcher; Michael Smoot; Martin Shumway; Corina Antonescu; Steven L Salzberg
Journal:  Genome Biol       Date:  2004-01-30       Impact factor: 13.583

9.  Designing and engineering evolutionary robust genetic circuits.

Authors:  Sean C Sleight; Bryan A Bartley; Jane A Lieviant; Herbert M Sauro
Journal:  J Biol Eng       Date:  2010-11-01       Impact factor: 4.355

10.  Rates of transposition in Escherichia coli.

Authors:  Ana Sousa; Catarina Bourgard; Lindi M Wahl; Isabel Gordo
Journal:  Biol Lett       Date:  2013-12-04       Impact factor: 3.703

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  25 in total

1.  Automated design of thousands of nonrepetitive parts for engineering stable genetic systems.

Authors:  Ayaan Hossain; Eriberto Lopez; Sean M Halper; Daniel P Cetnar; Alexander C Reis; Devin Strickland; Eric Klavins; Howard M Salis
Journal:  Nat Biotechnol       Date:  2020-07-13       Impact factor: 54.908

2.  Reduced Mutation Rate and Increased Transformability of Transposon-Free Acinetobacter baylyi ADP1-ISx.

Authors:  Gabriel A Suárez; Brian A Renda; Aurko Dasgupta; Jeffrey E Barrick
Journal:  Appl Environ Microbiol       Date:  2017-08-17       Impact factor: 4.792

3.  Genome microsatellite diversity within the Apicomplexa phylum.

Authors:  Juan Pablo Isaza; Juan Fernando Alzate
Journal:  Mol Genet Genomics       Date:  2016-09-02       Impact factor: 3.291

4.  CRISPR-Cas9, CRISPRi and CRISPR-BEST-mediated genetic manipulation in streptomycetes.

Authors:  Yaojun Tong; Christopher M Whitford; Kai Blin; Tue S Jørgensen; Tilmann Weber; Sang Yup Lee
Journal:  Nat Protoc       Date:  2020-07-10       Impact factor: 13.491

5.  Mapping Protein-Protein Interaction Interface Peptides with Jun-Fos Assisted Phage Display and Deep Sequencing.

Authors:  Wanzhi Huang; Victoria Soeung; David M Boragine; Timothy Palzkill
Journal:  ACS Synth Biol       Date:  2020-06-23       Impact factor: 5.110

6.  A Modelling Framework Linking Resource-Based Stochastic Translation to the Optimal Design of Synthetic Constructs.

Authors:  Peter Sarvari; Duncan Ingram; Guy-Bart Stan
Journal:  Biology (Basel)       Date:  2021-01-07

7.  Bioassay for Determining the Concentrations of Caffeine and Individual Methylxanthines in Complex Samples.

Authors:  Alejandro E Gutierrez; Prachi Shah; Abigail E Rex; Tien C Nguyen; Saamiha P Kenkare; Jeffrey E Barrick; Dennis M Mishler
Journal:  Appl Environ Microbiol       Date:  2019-11-14       Impact factor: 4.792

8.  High-resolution mapping of DNA polymerase fidelity using nucleotide imbalances and next-generation sequencing.

Authors:  Alexandra M de Paz; Thaddeus R Cybulski; Adam H Marblestone; Bradley M Zamft; George M Church; Edward S Boyden; Konrad P Kording; Keith E J Tyo
Journal:  Nucleic Acids Res       Date:  2018-07-27       Impact factor: 16.971

9.  Engineered promoters enable constant gene expression at any copy number in bacteria.

Authors:  Thomas H Segall-Shapiro; Eduardo D Sontag; Christopher A Voigt
Journal:  Nat Biotechnol       Date:  2018-03-19       Impact factor: 54.908

Review 10.  Towards an engineering theory of evolution.

Authors:  Simeon D Castle; Claire S Grierson; Thomas E Gorochowski
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

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