Rv2966c Ribosomal RNA small subunit methyltransferase D (EC 2.1.1.-)

Summary
Product Feature Type Start End Strand Length AA Length is TF
Rv2966c Ribosomal RNA small subunit methyltransferase D (EC 2.1.1.-) CDS 3318901 3319467 - 567 188 FALSE

Rv2966c (Ribosomal RNA small subunit methyltransferase D (EC 2.1.1.-)) is predicted to be co-regulated in modules bicluster_0522 with residual 0.62 and bicluster_0552 with residual 0.57.

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_0522 and 0.00 and 0.00 for bicluster_0552 respectively.

These modules are enriched for following go terms: cation transmembrane transporter activit... IMP biosynthetic process, 'de novo' IMP biosynthetic process, IMP metabolic process.

This gene is found to be for growth on cholesterol.

Mutant available?:

Product (LegacyBRC) Product (RefSeq)
POSSIBLE METHYLTRANSFERASE [METHYLASE] methyltransferase (methylase)
Operon # Operon
1936
PATRIC Locus Tag Enzyme Name PATRIC Pathways Transcriptomics

PATRIC

Not assigned Not assigned
Locus Tuberculist Genome View

Tuberculist

Quickview
Locus Tag KEGG Pathways

KEGG

Histidine metabolism

40
Total items in this category:  

KEGG

Tyrosine metabolism

41
Total items in this category:  

KEGG

Selenocompound metabolism

40
Total items in this category:  

KEGG

Polycyclic aromatic hydrocarbon degradation

47
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
15610103 NP_217482.1 Run
No TFOE experiment results were found
Quantitative Proteomics Data
t-test p-value Cholesterol/Glycerol Ratio
0.440000 1.12

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: