Rv2205c Glycerate kinase (EC 2.7.1.31)

Summary

Product Feature Type Start End Strand Length AA Length is TF
Rv2205c Glycerate kinase (EC 2.7.1.31) CDS 2469387 2470463 - 1 077 358 FALSE

Rv2205c (Glycerate kinase (EC 2.7.1.31)) is predicted to be co-regulated in modules bicluster_0185 with residual 0.52 and bicluster_0379 with residual 0.53.

This regulation is possibly mediated by two de-novo identified cis-regulatory motifs in each module with e-values , 1,500.00 and 29,000.00 for bicluster_0185 and 8.60 and 9.10 for bicluster_0379 respectively.

These modules are enriched for following go terms: NAD(P)+ transhydrogenase activity, oxidoreductase activity, acting on NAD(P....

This gene is found to be for growth on cholesterol.

Mutant available?: Yes

Last update: 10/16/2017 - 12:06
BEI Mutant Available BEI Mutant ID BEI MT Number BEI Target ID Order from BEI
Yes NR-15048 MT2261 1247
Product (LegacyBRC) Product (RefSeq)
Uncharacterized protein Rv2205c_MT2261
Operon # Operon
1447
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Glycine, serine and threonine metabolism

27
Total items in this category:  

KEGG

Glycerolipid metabolism

11
Total items in this category:  

KEGG

Glyoxylate and dicarboxylate metabolism

31
Total items in this category:  

KEGG

Methane metabolism

26
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
57116955 NP_216721.2 Run
GO:0008887

glycerate kinase activity

glycerate kinase activity

Details: 
Catalysis of the reaction: D-glycerate + ATP = 3-phospho-D-glycerate + ADP + 2 H(+).
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
0.120000 0.84

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: