Back

Quantification of genetic variants in bacterial cultures by Sanger sequencing

Prakash, S.; Racovita, A.; Petrucci, T.; Galizi, R.; Jaramillo, A.

2022-07-09 synthetic biology
10.1101/2022.07.08.499315 bioRxiv
Show abstract

Genetic variations such as mutations and recombinations arise spontaneously in all cultured organisms. Although it is possible to identify non-neutral mutations by selection or counter- selection, neutral mutations usually require DNA sequencing to be identified in a population, which are normally expensive and time-consuming. Neutral mutations could even become dominant under changing environmental conditions enforcing transitory selection or counter- selection. We propose a novel methodology to quantify DNA using Sanger sequencing, that we validated experimentally with specially-engineered plasmids both in vitro and in co-transformed E. coli by and assessing our predictions with qPCR and fluorescence quantifications. The method relies on the alignment of the electropherograms from the query and reference samples, where we quantify the DNA concentration from the amplitude ratio of aligned electropherogram peaks. Our DNA quantification will allow quantifying genetic variants, including single-base natural polymorphisms or de novo mutations, from mixed Sanger sequencing reads, with consistent reduction of costs compared to canonical approaches such as qPCR.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
Nature Communications
5641 papers in training set
Top 7%
19.3%
2
Scientific Reports
3612 papers in training set
Top 1%
15.8%
3
Nucleic Acids Research
1281 papers in training set
Top 1%
13.5%
4
MicrobiologyOpen
24 papers in training set
Top 0.1%
4.6%
50% of probability mass above
5
PLOS ONE
5266 papers in training set
Top 32%
4.5%
6
ACS Synthetic Biology
287 papers in training set
Top 0.8%
4.2%
7
eLife
5828 papers in training set
Top 28%
4.2%
8
Nature Biotechnology
172 papers in training set
Top 1%
3.6%
9
Synthetic Biology
24 papers in training set
Top 0.1%
2.9%
10
iScience
1154 papers in training set
Top 10%
2.5%
11
Genome Biology
637 papers in training set
Top 5%
1.8%
12
BMC Bioinformatics
457 papers in training set
Top 4%
1.8%
13
Genes
144 papers in training set
Top 2%
1.2%
14
Cell Reports Methods
165 papers in training set
Top 2%
1.2%
15
Communications Biology
993 papers in training set
Top 20%
1.2%
16
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 0.6%
1.1%
17
Science Advances
1243 papers in training set
Top 29%
0.9%
18
Trends in Biotechnology
12 papers in training set
Top 0.2%
0.9%
19
Applied and Environmental Microbiology
339 papers in training set
Top 5%
0.9%
20
BMC Biology
265 papers in training set
Top 5%
0.9%
21
Life
29 papers in training set
Top 0.7%
0.9%
22
Bioinformatics
1204 papers in training set
Top 9%
0.6%
23
Frontiers in Microbiology
427 papers in training set
Top 9%
0.6%
24
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 43%
0.6%
25
Molecular Ecology
336 papers in training set
Top 4%
0.6%
26
mSystems
394 papers in training set
Top 6%
0.6%
27
Water Research
79 papers in training set
Top 1%
0.5%
28
PeerJ
308 papers in training set
Top 14%
0.5%
29
Science of The Total Environment
186 papers in training set
Top 4%
0.5%