CRISPR interference screens reveal growth-robustness tradeoffs in Synechocystis sp. PCC 6803 across growth conditions

被引:12
作者
Miao, Rui [1 ]
Jahn, Michael [1 ,2 ]
Shabestary, Kiyan [1 ,3 ,4 ]
Peltier, Gilles [5 ]
Hudson, Elton P. [1 ]
机构
[1] KTH Royal Inst Technol, Sch Engn Sci Chem Biotechnol & Hlth, Sci Life Lab, SE-17165 Stockholm, Sweden
[2] Max Planck Unit Sci Pathogens, D-10117 Berlin, Germany
[3] Imperial Coll London, Dept Bioengn, London SW7 2AZ, England
[4] Imperial Coll London, Imperial Coll, Ctr Synthet Biol, London SW7 2AZ, England
[5] Aix Marseille Univ, CEA, CNRS, Inst Biosci & Biotechnol Aix Marseille,CEA Cadarac, F-13108 St Paul Les Durance, France
关键词
PHOTOSYSTEM-I; TRANSCRIPTIONAL REGULATOR; CARBON METABOLISM; NDH-1; COMPLEXES; LIGHT; PHOTOSYNTHESIS; PHYCOBILISOME; GENES; PHOTOPROTECTION; CYANOBACTERIA;
D O I
10.1093/plcell/koad208
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 noncoding RNAs. Comparison of the derived gene fitness scores revealed multiple instances of gene repression being beneficial in 1 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 data set assigns condition-specific importance to many previously unannotated genes and suggests additional functions for central metabolic enzymes. Phosphoribulokinase, glyceraldehyde-3-phosphate dehydrogenase, and the small protein 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 proximal to the PAM site. Fitness data for all genes in all conditions are compiled in an interactive web application. CRISPR interference screens of Synechocystis in different growth regimes allowed mapping of condition-specific gene fitness.
引用
收藏
页码:3937 / 3956
页数:20
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