Back

CRISPR interference screens reveal tradeoffs between growth rate and robustness in Synechocystis sp. PCC 6803 across trophic conditions

Miao, R.; Jahn, M.; Shabestary, K.; Hudson, E. P.

2023-02-13 systems biology
10.1101/2023.02.13.528328 bioRxiv
Show abstract

Barcoded mutant libraries are a powerful tool for elucidating gene function in microbes, particularly when screened in multiple growth conditions. Here, we screened a pooled CRISPR interference library of the model cyanobacterium Synechocystis sp. PCC 6803 in 11 bioreactor-controlled conditions, spanning multiple light regimes and carbon sources. This gene repression library contained 21,705 individual mutants with high redundancy over all open reading frames and non-coding RNAs. Comparison of the derived gene fitness scores revealed multiple instances of gene repression being beneficial in one condition while generally detrimental in others, particularly for genes within light harvesting and conversion, such as antennae components at high light and PSII subunits during photoheterotrophy. Suboptimal regulation of such genes likely represents a tradeoff of reduced growth speed for enhanced robustness to perturbation. The extensive dataset assigns condition-specific importance to many previously unannotated genes, and suggests new functions for central metabolic enzymes. Prk, GAPDH, and CP12 were critical for mixotrophy and photoheterotrophy, which implicates the ternary complex as important for redirecting metabolic flux in these conditions in addition to inactivation of the Calvin cycle in the dark. To predict the potency of sgRNA sequences, we applied machine learning on sgRNA sequences and gene repression data, which showed the importance of C enrichment and T depletion in the first 12 bp proximal to the PAM site. Fitness data for all genes in all conditions is compiled in an interactive web application.

Matching journals

The top 13 journals account for 50% of the predicted probability mass.

1
Metabolic Engineering
75 papers in training set
Top 0.2%
6.6%
2
eLife
5828 papers in training set
Top 18%
6.6%
3
The Plant Cell
161 papers in training set
Top 0.7%
6.1%
4
iScience
1154 papers in training set
Top 2%
5.3%
5
Proceedings of the National Academy of Sciences
2444 papers in training set
Top 11%
4.7%
6
Genome Research
468 papers in training set
Top 2%
3.9%
7
Molecular Microbiology
77 papers in training set
Top 0.4%
3.1%
8
Plant Physiology
238 papers in training set
Top 2%
2.6%
9
Biology Direct
11 papers in training set
Top 0.1%
2.6%
10
Nature Communications
5641 papers in training set
Top 39%
2.6%
11
Communications Biology
993 papers in training set
Top 9%
2.4%
12
Plant Cell Reports
17 papers in training set
Top 0.2%
2.3%
13
ACS Synthetic Biology
287 papers in training set
Top 1%
2.3%
50% of probability mass above
14
PLOS Genetics
862 papers in training set
Top 6%
2.1%
15
Genome Biology
637 papers in training set
Top 5%
2.1%
16
The Plant Journal
215 papers in training set
Top 2%
2.1%
17
G3 Genes|Genomes|Genetics
351 papers in training set
Top 2%
2.1%
18
PLOS Computational Biology
1863 papers in training set
Top 14%
1.9%
19
G3: Genes, Genomes, Genetics
252 papers in training set
Top 2%
1.9%
20
Cell Reports
1498 papers in training set
Top 20%
1.7%
21
Nucleic Acids Research
1281 papers in training set
Top 9%
1.7%
22
mSystems
394 papers in training set
Top 4%
1.6%
23
BMC Genomics
406 papers in training set
Top 5%
1.6%
24
Life Science Alliance
285 papers in training set
Top 4%
1.4%
25
microLife
22 papers in training set
Top 0.3%
1.3%
26
RNA Biology
78 papers in training set
Top 0.8%
1.3%
27
Molecular Systems Biology
162 papers in training set
Top 2%
1.1%
28
Journal of Experimental Botany
219 papers in training set
Top 3%
0.9%
29
Biotechnology and Bioengineering
53 papers in training set
Top 1.0%
0.8%
30
Scientific Reports
3612 papers in training set
Top 76%
0.8%