TB Genome Annotation Portal

Rv2850c (-)

Amino Acid Sequence

VKPYPFSAIVGHDRLRLALLLCAVRPEIGGALIRGEKGTAKSTAVRGLAALLSVATGSTETGLVELPLGATEDRVVGSLDLQRVMRDGEHAFSPGLLARA
HGGVLYVDEVNLLHDHLVDILLDAAAMGRVHVERDGISHSHEARFVLIGTMNPEEGELRPQLLDRFGLTVDVQASRDIDVRVQVIRRRMAYEADPDAFVA
RYADADAELAHRIAAARATVDDVVLGDNELRRIAALCAAFDVDGMRADLVVARTAAAHAAWRGVRTVEEQDIRAAAELALPHRRRRDPFDDHGIDRDQLD
EALALASVDPEPEPDPPGGGQSANEPASQPNSRSKSTEPGAPSSMGDDPPRPASPRLRSSPRPSAPPSKIFRTRALRVPGVGTGAPGRRSRARNASGSVV
AAAEVSDPDAHGLHLFATLLAAGERAFGAGPLRPWPDDVRRAIREGREGNLVIFVVDASGSMAARDRMAAVSGATLSLLRDAYQRRDKVAVITFRQHEAT
LLLSPTSSAHIAGRRLARFSTGGKTPLAEGLLAARALIIREKVRDRARRPLVVVLTDGRATAGPDPLGRSRTAAAGLVAEGAAAVVVDCETSYVRLGLAA
QLARQLGAPVVRLEQLHADYLVHAVRGVA
(Nucleotide sequence available on KEGG)

Additional Information



ESSENTIALITY

MtbTnDB - interactive tool for exploring a database of published TnSeq datasets for Mtb

TnSeqCorr - genes with correlated TnSeq profiles across >100 conditions *new*

Classification Condition Strain Method Reference Notes
Uncertain Sodium Oleate H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.980500;
9 non-insertions in a row out of 17 sites
Uncertain Lignoceric Acid H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.872650;
6 non-insertions in a row out of 17 sites
Uncertain Phosphatidylcholine H37RvMA Gumbel Subhalaxmi Nambi Probability of Essentiality: 0.202450;
4 non-insertions in a row out of 17 sites
Uncertain minimal media + 0.1% glycerol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.636100;
6 non-insertions in a row out of 17 sites
Uncertain minimal media + 0.01% cholesterol H37RvMA Gumbel Griffin et al. (2011) Probability of Essentiality: 0.620450;
6 non-insertions in a row out of 17 sites
Non-Essential 7H10-glycerol H37RvMA TraSH Sassetti et al. (2003a)
Non-Essential C57BL/6J mice (8 weeks) H37RvMA TraSH Sassetti et al. (2003b) Hybridization Ratio: 0.35
Non-Essential 7H09/7H10 + rich media H37RvMA MotifHMM DeJesus et al. (2017) Fully saturated (14 reps).

TnSeq Data No data currently available.
  • No TnSeq data currently available for this Target.
RNASeq Data No data currently available.
  • No RNA-Seq data currently available for this Target.
Metabolomic Profiles No data currently available.
  • No Metabolomic data currently available for this Target.
Proteomic Data No data currently available.
  • No Proteomic data currently available for this Target.

Regulatory Relationships from Systems Biology
  • BioCyc

    Gene interactions based on ChIPSeq and Transcription Factor Over-Expression (TFOE) (Systems Biology)

    NOTE: Green edges represent the connected genes being classified as differentially essential as a result of the middle gene being knocked out. These interactions are inferred based on RNASeq.

    Interactions based on ChIPSeq data

    • Binds To:

      • No bindings to other targets were found.
    • Bound By:

    Interactions based on ChIPSeq data (Minch et al. 2014)

    • Binds To:

      • No bindings to other targets were found.
    • Bound By:

    Interactions based on TFOE data (Rustad et al. 2014)

    • Upregulates:

      • Does not upregulate other genes.
    • Upregulated by:

      • Not upregulated by other genes.
    • Downregulates:

      • Does not downregulate other genes.
    • Downregulated by:



    TBCAP

    Tubculosis Community Annotation Project (
    Slayden et al., 2013)

    Rv2850c (-)

    PropertyValueCreatorEvidencePMIDComment
    CitationRoles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. JH. Lee, PC. Karakousis et al. J. Bacteriol. 2008yashabhasinIEP17993538Co-expression (Functional linkage)
    InteractionRegulatory Rv2710yashabhasinIEPCo-expression (Functional linkage)
    JH. Lee, PC. Karakousis et al. Roles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. J. Bacteriol. 2008
    InteractionRegulatedBy Rv2710yamir.morenoIEPMicroarrays. mRNA levels of regulated element measured and compared between wild-type and trans-element mutation (knockout, over expression etc.) performed by using microarray (or macroarray) experiments..
    JH. Lee, PC. Karakousis et al. Roles of SigB and SigF in the Mycobacterium tuberculosis sigma factor network. J. Bacteriol. 2008
    CitationGenetic Requirements for the Survival of Tubercle Bacilli in Primates. NK. Dutta,S. Mehra,PJ. Didier,CJ. Roy,LA. Doyle,X. Alvarez,M. Ratterree,NA. Be,G. Lamichhane,SK. Jain,MR. Lacey,AA. Lackner,D. Kaushal The Journal of infectious diseases 2010mwilliams20394526Possible cobalt/magnesium chelatase. Strongly expressed during logarithmic and stationary phase growth. Tn-mutant of this gene is attenuated growth in Indian rhesus macaques
    CitationGenomic DNA standards for gene expression profiling in Mycobacterium tuberculosis. authors,AM. Talaat,ST. Howard,W. Hale,R. Lyons,H. Garner,SA. Johnston Nucleic Acids Res. 2002mwilliams12384606Possible cobalt/magnesium chelatase. Strongly expressed during logarithmic and stationary phase growth. Tn-mutant of this gene is attenuated growth in Indian rhesus macaques

    Comments