Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Strategies to Identify and Edit Improvements in Synthetic Genome Segments Episomally

View ORCID ProfileAlexandra Rudolph, View ORCID ProfileAkos Nyerges, View ORCID ProfileAnush Chiappino-Pepe, View ORCID ProfileMatthieu Landon, View ORCID ProfileMaximilien Baas-Thomas, View ORCID ProfileGeorge Church
doi: https://doi.org/10.1101/2022.03.18.484905
Alexandra Rudolph
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alexandra Rudolph
  • For correspondence: alexandra_rudolph@g.harvard.edu
Akos Nyerges
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Akos Nyerges
Anush Chiappino-Pepe
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
2Wyss Institute for Biologically Inspired Engineering, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anush Chiappino-Pepe
Matthieu Landon
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Matthieu Landon
Maximilien Baas-Thomas
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Maximilien Baas-Thomas
George Church
1Department of Genetics, Harvard Medical School, Boston, MA, 02115, USA
2Wyss Institute for Biologically Inspired Engineering, Boston, MA, 02115, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for George Church
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

ABSTRACT

Genome engineering projects often utilize bacterial artificial chromosomes (BACs) to carry multi-kilobase DNA segments on low copy number vectors. However, DNA synthesis and amplification have the potential to impose mutations on the contained DNA segments that can in turn reduce or prevent viability of the final strain. Here, we describe improvements to a multiplex automated genome engineering (MAGE) protocol to improve recombineering frequency and multiplexability. This protocol was applied to ‘recoding’ an Escherichia coli strain to swap out seven codons to synonymous alternatives genome-wide. Ten 44,402 to 47,179 bp de novo synthesized BAC-contained DNA segments from the recoded strain were unable to complement deletion of the corresponding 33 to 61 wild type genes using a single antibiotic resistance marker. Next-Generation Sequencing was used to identify 1-7 non-recoding mutations in essential genes per segment, and MAGE in turn proved a useful strategy to repair these mutations on the BAC-contained recoded segment when both the recoded and wild type copies of the mutated genes had to exist by necessity during the repair process. This strategy could be adapted to mutation identification and repair for other large-scale genome engineering projects, or for incorporation of small genetic engineering sites for quick protocol adjustments.

Competing Interest Statement

G.C. has founded the following companies: 64-x, EnEvolv, GRO Biosciences, ReadCoor, and Nabla.bio. A full list of his financial interests can be found at https://arep.med.harvard.edu/gmc/tech.html.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted March 19, 2022.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Strategies to Identify and Edit Improvements in Synthetic Genome Segments Episomally
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Strategies to Identify and Edit Improvements in Synthetic Genome Segments Episomally
Alexandra Rudolph, Akos Nyerges, Anush Chiappino-Pepe, Matthieu Landon, Maximilien Baas-Thomas, George Church
bioRxiv 2022.03.18.484905; doi: https://doi.org/10.1101/2022.03.18.484905
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Strategies to Identify and Edit Improvements in Synthetic Genome Segments Episomally
Alexandra Rudolph, Akos Nyerges, Anush Chiappino-Pepe, Matthieu Landon, Maximilien Baas-Thomas, George Church
bioRxiv 2022.03.18.484905; doi: https://doi.org/10.1101/2022.03.18.484905

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Synthetic Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4227)
  • Biochemistry (9105)
  • Bioengineering (6751)
  • Bioinformatics (23944)
  • Biophysics (12088)
  • Cancer Biology (9493)
  • Cell Biology (13739)
  • Clinical Trials (138)
  • Developmental Biology (7616)
  • Ecology (11661)
  • Epidemiology (2066)
  • Evolutionary Biology (15479)
  • Genetics (10616)
  • Genomics (14296)
  • Immunology (9462)
  • Microbiology (22789)
  • Molecular Biology (9078)
  • Neuroscience (48884)
  • Paleontology (355)
  • Pathology (1479)
  • Pharmacology and Toxicology (2565)
  • Physiology (3823)
  • Plant Biology (8308)
  • Scientific Communication and Education (1467)
  • Synthetic Biology (2290)
  • Systems Biology (6171)
  • Zoology (1297)