Rv0409 Acetate kinase (EC 2.7.2.1)

Summary

Symbol Product Feature Type Start End Strand Length AA Length is TF
Rv0409 ackA Acetate kinase (EC 2.7.2.1) CDS 493851 495008 + 1 158 385 FALSE

Rv0409 (Acetate kinase (EC 2.7.2.1)) is predicted to be co-regulated in modules bicluster_0424 with residual 0.58 and bicluster_0565 with residual 0.53.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 0.00 and 0.00 for bicluster_0424 and 0.16 and 35.00 for bicluster_0565 respectively.

These modules are enriched for following go terms: cellular macromolecule catabolic process, nucleobase-containing compound catabolic..., aromatic compound catabolic process, macromolecule catabolic process, exonuclease activity, active with either..., deoxyribonuclease activity, oxidoreductase activity, acting on paire..., exonuclease activity .

This gene is found to be for growth on cholesterol.

Mutant available?:

Product (LegacyBRC) Product (RefSeq)
Acetate kinase acetate kinase
Operon # Operon
277 - -
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Taurine and hypotaurine metabolism

7
Total items in this category:  

KEGG

Pyruvate metabolism

40
Total items in this category:  

KEGG

Propanoate metabolism

62
Total items in this category:  

KEGG

Methane metabolism

26
Total items in this category:  

KEGG

Carbon fixation pathways in prokaryotes

42
Total items in this category:  

KEGG

Metabolic pathways

601
Total items in this category:  

KEGG

Microbial metabolism in diverse environments

296
Total items in this category:  
BioCyc Gene Page Cellular Overview Map
Link to STRING STRING Network

STRING

GI Number Protein ID Blast Conserved Domains
15607550 NP_214923.1 Run
GO:0008776

acetate kinase activity

acetate kinase activity

Details: 
Catalysis of the reaction: ATP + acetate = ADP + acetyl phosphate.
GO Category: 
molecular_function
1
Total items in this category:  
No TFOE experiment results were found

Quantitative Proteomics Data

t-test p-value Cholesterol/Glycerol Ratio
0.930000 2.40

How essentiality calculations were done?

The relative representation of each mutant was determined by calculating the fold change (sequence reads/insertion in cholesterol divided by sequence reads/insertion in glycerol) for each gene. Statistical significance was determined by t-test. Each insertion site in each replicate sample was treated as a separate data point. The hyperbola used for defining genes specifically required for growth in cholesterol was defined by the formula, y = 3.8/x+0.7. Genes above this line are annotated as required for growth on cholesterol.

TRIP log2 fold abundance change

reports the log2 abundance fold change of each TFI strain, relative to no induction, in absence or presence of drug, averaged across experimental replicates. Also reported are the accompanying z-scores and two-sided t-test p-values for each TFI strain under each condition. Please refer to Ma et al., 2020, Nature Microbiology for more information.

p-value Untreated:
p-value INH: