Back

Development of a recombineering system for the acetogen Eubacterium limosum with Cas9 counterselection for markerless genome engineering

Sanford, P. A.; Woolston, B. M.

2024-04-12 bioengineering
10.1101/2024.04.09.588731 bioRxiv
Show abstract

Eubacterium limosum is a Clostridial acetogen that efficiently utilizes a wide range of single-carbon substrates and contributes to metabolism of health-associated compounds in the human gut microbiota. These traits have led to interest in developing it as a platform for sustainable CO2-based biofuel production to combat carbon emissions, and for exploring the importance of the microbiota in human health. However, synthetic biology and metabolic engineering in E. limosum have been hindered by the inability to rapidly make precise genomic modifications. Here, we screened a diverse library of recombinase proteins to develop a highly efficient oligonucleotide-based recombineering system based on the viral recombinase RecT. Following optimization, the system is capable of catalyzing ssDNA recombination at an efficiency of up to 2%. Addition of a Cas9 counterselection system allows recombination to reach an efficiency of up to 100%, enabling creation of genomic point mutations in a scarless and markerless manner. We deployed this system to create a clean knockout of the extracellular polymeric substance (EPS) gene cluster, generating a strain incapable of biofilm formation. This approach is rapid and simple, not requiring laborious homology arm cloning, and can readily be retargeted to almost any genomic locus. This work overcomes a major bottleneck Eubacterium limosum genetic engineering by enabling precise genomic modifications, and provides both a roadmap and associated recombinase plasmid library for developing similar systems in other Clostridia of interest. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=106 SRC="FIGDIR/small/588731v1_ufig1.gif" ALT="Figure 1"> View larger version (32K): org.highwire.dtl.DTLVardef@1366103org.highwire.dtl.DTLVardef@11b1f0borg.highwire.dtl.DTLVardef@1931600org.highwire.dtl.DTLVardef@1896e4c_HPS_FORMAT_FIGEXP M_FIG C_FIG

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
Microbial Cell Factories
27 papers in training set
Top 0.1%
43.0%
2
Applied and Environmental Microbiology
339 papers in training set
Top 0.7%
9.8%
50% of probability mass above
3
PLOS ONE
5266 papers in training set
Top 23%
7.4%
4
New Biotechnology
12 papers in training set
Top 0.1%
4.4%
5
Nucleic Acids Research
1281 papers in training set
Top 5%
3.6%
6
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.2%
2.8%
7
ACS Synthetic Biology
287 papers in training set
Top 1%
2.4%
8
Scientific Reports
3612 papers in training set
Top 43%
2.4%
9
Frontiers in Bioengineering and Biotechnology
98 papers in training set
Top 0.8%
2.2%
10
Microbial Biotechnology
34 papers in training set
Top 0.6%
1.4%
11
Metabolic Engineering
75 papers in training set
Top 0.6%
1.1%
12
BMC Genomics
406 papers in training set
Top 7%
1.1%
13
PLOS Pathogens
820 papers in training set
Top 9%
0.9%
14
Microbiology
65 papers in training set
Top 2%
0.9%
15
Access Microbiology
25 papers in training set
Top 0.7%
0.9%
16
Archives of Virology
15 papers in training set
Top 0.3%
0.6%
17
Antibiotics
34 papers in training set
Top 1%
0.6%
18
Journal of Biotechnology
11 papers in training set
Top 0.3%
0.6%
19
Journal of Dental Research
13 papers in training set
Top 0.2%
0.6%
20
mBio
833 papers in training set
Top 12%
0.6%
21
Journal of Bacteriology
212 papers in training set
Top 2%
0.6%
22
Nature Communications
5641 papers in training set
Top 59%
0.6%
23
Viruses
332 papers in training set
Top 5%
0.6%
24
The CRISPR Journal
39 papers in training set
Top 0.4%
0.6%
25
International Journal of Molecular Sciences
494 papers in training set
Top 17%
0.6%
26
Biotechnology for Biofuels
14 papers in training set
Top 0.4%
0.6%
27
PLOS Genetics
862 papers in training set
Top 13%
0.6%
28
BMC Biotechnology
14 papers in training set
Top 0.2%
0.6%