MSMEG0096
ms0096
-
M. smegmatis · MC2-155
MC2-155 Coordinates: 120261 – 121115
Vulnerability Index (VI): 1.0180
M. tuberculosis homologs Rv0148, Rv3548c, Rv3502c, ephD, fabG2, [+ 14 remaining orthologs]
M. abscessus homologs MAB4604c, MAB2948c, MAB0380, MAB0608, MAB3440c, [+ 24 remaining orthologs]
 +5   0  -5 -10 -15 sgRNA L2FC (+ATc/–ATc) TnSeq Gene Essentiality Predictions (1, 2) Essential Growth Defect Non-Essential Growth Advantage Unknown Operon Legend (3) Operon TSS Legend ? Ju, 2024 (5) Li, 2017 (4) (1) PMID: 28096490 (2) PMID: 31388080 (3) PMID: 26536359 (4) PMID: 29326668 (5) PMID: 38418874 MSMEG0092 MSMEG0093 MSMEG0094 MSMEG0095 MSMEG0096 MSMEG0097 MSMEG0098 MSMEG0099 MSMEG0100 MSMEG0101
Click the tabs above to view different types of data for this gene. The Vulnerability tab shows CRISPRi fitness data.
DNA and Protein Sequence help

DNA Sequence

>ms0096_MSMEG0096_dna
GCCGGGGTCCGCCGATGCCGGGTTCGGCAGGCCGACCACTGCGGCGACAAGTCCGCCGGCGACCGCCATACCGGTGGCGACTCCGAACTTCCTCATGTCAGCGTTCCTTTTCTTGAACCATTCCATTTCTTGACCGGTTCAACTTAACGAAGGCTAGCCTCATTCCGGAAATCGCGCCGATCAGCGTGTGATCCACGACTCCCGGGCGATTGCCGACCCGGATGACCGGCGTTCGCCGCGTCGCCGTATACAGAAGGGGACGTCAGACCCCCTTCAAGAGAGGAACACCCATGCCAGGAGTGCAGGACCGCGTCGTCGTCACCGGAGCCGGTGGAGGCCTGGGCCGTGAATACGCACTGACCCTCGCACGCGAAGGCGCGAGCGTGGTCGTCAACGACCTGGGTGGCGCTCGTGACGGCACCGGATCCGGTTCGGCCATGGCCGATCAGGTGGTCGCCGAGATCAAGGAGGCCGGCGGGCGTGCGGTCGCCAACTACGACAGCGTCGCCGAGTCCGAGGGCGCCGAGAACATCATCAAGACCGCGATCGACGAGTTCGGCAAGATCGACGGCGTCGTGAGCAACGCGGGCATCCTGCGCGACGGCACGTTCCACAAGATGACCTACGACAACTGGGACGCCGTACTCAAGGTGCACCTCTACGGCGGCTACAACGTCATCCGCGCCGCATGGCCCCACTTCCGCGAGCAGAGCTTCGGCCGCGTCGTCGTCGCGACGTCCACCAGCGGCCTGTTCGGCAACTTCGGTCAGGCCAACTACGGTGCCGCCAAGCTGGGTCTGGTGGGTCTGATCAACACGCTGGCCCAGGAGGGCGCCAAGTACAACATCAAGACCAACGCCATCGCCCCCATCGCGGCGACCCGCATGACACAGGACATCCTGCCGCCCGAGGTCTTCGAGAAGCTCACGCCCGAGTACGTCGCCCCGGTGGTCGCCTACCTGATGACCGAGGAACTCGAAGACACCGACTCGGTGTTCATCGTCGGCGGCGGCAAGATCCAACGCACCGCGCTGTTCCAGAACGAGGGCGTCACGTTCTCCGACGGCGTGCCGACGGTCGACGACATCGCCGCCAAGTGGAACGAGATCACCGACCTCTCGGCCGCCCAGCTGGCCAGCTTCAAGCTGGGATAG

Protein Sequence

>Ms0096_MSMEG0096_protein
VQDRVVVTGAGGGLGREYALTLAREGASVVVNDLGGARDGTGSGSAMADQVVAEIKEAGGRAVANYDSVAESEGAENIIKTAIDEFGKIDGVVSNAGILRDGTFHKMTYDNWDAVLKVHLYGGYNVIRAAWPHFREQSFGRVVVATSTSGLFGNFGQANYGAAKLGLVGLINTLAQEGAKYNIKTNAIAPIAATRMTQDILPPEVFEKLTPEYVAPVVAYLMTEELEDTDSVFIVGGGKIQRTALFQNEGVTFSDGVPTVDDIAAKWNEITDLSAAQLASFKLG

Essentiality:

Call Condition Type Source Notes
Non Essential in vitro CRISPRi [Bosch & DeJesus et al. (2021)]
Growth Advantage in vitro TnSeq [Dragset et al. (2019)]
Vulnerability Assessment help
[Full list of passaging experiments]

Experiment (PMID: 34297925): We designed an M. tuberculosis CRISPRi library (RLC12) to target all annotated Mtb genes with single guide RNAs (sgRNAs) of varying predicted knockdown efficiencies. In parallel, we constructed a M. smegmatis CRISPRi library (RLC11) to target all annotated Msmeg genes, similar to the Mtb sgRNA library. RLC12 was transformed into M. tuberculosis H37Rv; RLC11 into M. smegmatis mc2-155. We passaged both CRISPRi libraries for nearly 30 generations in the presence or absence of the CRISPRi-inducer anhydrotetracycline (ATc). At the indicated timepoints, genomic DNA was harvested and the representation of individual sgRNAs was counted using Illumina sequencing. Here, we show sgRNA log2 fold-change values (L2FC) (plus versus minus ATc) over consecutive generations for sgRNAs targeting the gene you selected. sgRNAs are color-coded based on their predicted strength from blue (strength=0; weak) to red (strength=1; strong).

In order to quantify gene vulnerability, data were subsequently analyzed with a hierarchical model at the sgRNA level (two-line model) and gene level (Hill curve). The vulnerability quantification is shown below. [More information]

M. smegmatis Reference Fitness Experiment M. tuberculosis H37Rv Reference Fitness Experiment M. tuberculosis HN878 Reference Fitness Experiment
 
 
M. smegmatis Gene-Level Logistic Regression M. tuberculosis H37Rv Gene-Level Logistic Regression (Most similar ortholog) M. tuberculosis HN878 Gene-Level Logistic Regression (Most similar ortholog)
 
Vulnerability Index (VI) 1.0180 1.2050
VI Lower Bound -0.3320 -0.4200
VI Upper Bound 3.2240 3.8800

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