Back

Optimization of arsB (Acr3) as a positive selection marker in the cyanobacterium Synechocystis sp. PCC 6803

Tejada, I.; Florencio, F. J.; Lopez-Maury, L.

2022-09-23 biochemistry
10.1101/2022.09.23.509062 bioRxiv
Show abstract

The use of cyanobacteria as bio-factories for production of numerous compounds of interest (biofuels, bioplastics ...) has attracted lots of attention mainly due to their simple nutritional requirements, coupled with the decrease in atmospheric CO2 levels. However, although cyanobacteria are easily genetically manipulated, there are few genetic tools developed and, in some cases, the modifications necessary for metabolic engineering are limited for this reason. We have developed a new positive selection marker based on the arsenic resistance system of the cyanobacterium Synechocystis sp. PCC 6803. In this cyanobacterium, resistance to arsenic is mediated by the arsBHC operon in which arsB encodes an arsenite transporter whose mutation confers hypersensitivity to the presence of both arsenite and arsenate. Using arsB mutant strain (SARSB) as recipient we introduced plasmids containing both arsB and an antibiotic resistance gene and transformants were selected using either arsenic or the antibiotic with similar efficiency. The plasmids and conditions to use the arsB gene as a selectable marker have been optimized. Furthermore, we have generated an integrative vector to delete the whole arsBHC operon that allows easy introduction of regulated genes in this locus. Analysis of this strain have shown that the{Delta} arsBHC mutant has a higher sensitivity to arsenite than the SARSB strain, even when they are complemented with an arsB copy. These suggest that arsH, arsC or both could have an additional role in arsenite resistance.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Algal Research
20 papers in training set
Top 0.1%
22.8%
2
PLOS ONE
4510 papers in training set
Top 18%
10.2%
3
Scientific Reports
3102 papers in training set
Top 10%
8.3%
4
Biotechnology and Bioengineering
49 papers in training set
Top 0.2%
4.0%
5
Metabolic Engineering Communications
20 papers in training set
Top 0.1%
3.3%
6
Environmental Pollution
35 papers in training set
Top 1%
2.4%
50% of probability mass above
7
Bioresource Technology
11 papers in training set
Top 0.2%
1.9%
8
ACS Synthetic Biology
256 papers in training set
Top 2%
1.7%
9
Microbial Cell Factories
22 papers in training set
Top 0.2%
1.7%
10
Frontiers in Microbiology
375 papers in training set
Top 5%
1.7%
11
Access Microbiology
22 papers in training set
Top 0.3%
1.3%
12
Frontiers in Plant Science
240 papers in training set
Top 4%
1.3%
13
ACS Omega
90 papers in training set
Top 2%
1.3%
14
BioMed Research International
25 papers in training set
Top 2%
1.3%
15
RSC Advances
18 papers in training set
Top 0.9%
1.1%
16
International Journal of Molecular Sciences
453 papers in training set
Top 11%
1.1%
17
Plant Science
25 papers in training set
Top 0.8%
1.0%
18
FEMS Microbiology Letters
14 papers in training set
Top 0.1%
0.9%
19
Plants
39 papers in training set
Top 1%
0.9%
20
Journal of Hazardous Materials
19 papers in training set
Top 0.7%
0.9%
21
Current Microbiology
18 papers in training set
Top 0.5%
0.8%
22
Microbial Genomics
204 papers in training set
Top 2%
0.8%
23
Microbiological Research
19 papers in training set
Top 0.6%
0.8%
24
Microorganisms
101 papers in training set
Top 2%
0.8%
25
Biochemistry
130 papers in training set
Top 2%
0.8%
26
Biology of the Cell
11 papers in training set
Top 0.2%
0.8%
27
Metallomics
11 papers in training set
Top 0.2%
0.8%
28
Molecular Phylogenetics and Evolution
61 papers in training set
Top 0.3%
0.8%
29
ChemBioChem
50 papers in training set
Top 1%
0.7%
30
Applied and Environmental Microbiology
301 papers in training set
Top 3%
0.7%