MSMEG3059
ms3059
-
M. smegmatis · MC2-155
MC2-155 Coordinates: 3131786 – 3132673
Vulnerability Index (VI): 0.1570
M. tuberculosis homologs lipI, nlhH, lipN, lipC, lipW, [+ 6 remaining orthologs]
M. abscessus homologs MAB2814, MAB2039, MAB3270c, MAB0078, MAB2655, [+ 6 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 (4) Li, 2017 (5) (1) PMID: 28096490 (2) PMID: 31388080 (3) PMID: 26536359 (4) PMID: 38418874 (5) PMID: 29326668 metK MSMEG3056 MSMEG3057 MSMEG3058 MSMEG3059 MSMEG3060 priA MSMEG3062
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

>ms3059_MSMEG3059_dna
AACAGCAGCGCGGCGACCAGCCAGCGGCGCTCGCGCCGGATCGGGTGGGTGCATGCGGCGGCGGCCAGCAGGACCGCGGCGAGCGCCTTGACCGCGGGCTGCGCGGCGAACTGGCTGGTGAGCGCGGCGCCCGCGGGCAGCCGTAGGGCCGTGACGCTGAGAAAGACGCCGTAACCTGCACCGACGACGGCCGCGGCGCCCCACAACCACGACGTCGCGCGGTGTGCGTACCGTGTCGGTGTGTCTGTTGCTGACGAGAAACCGGCCCTCGATGCCATTCTGCAGAAGGTACTGGAGCTTGTGCCGTTCCAACTGTCCACCGCCGATGGTGTCGAGGAGGCGCGCCGCAAATTCAGCGAACTGCCGCGCGCGGAGATCCATCCCGAGCTGAGCGTGCACGACCGCACGATCGAAGGCCCGGCCGGCCCCATCGGCGTCCGGGTCTACCGTCCGCCGACCGCCGAAGGCGTGAAACTGCCGGTCGTGCTGTTTTTTCACGGCGGCGGCTGGTCGGTCGGCGACCTGGACAGCTACGACGCCACCGCGCGGCGCCACGCCGCGGGCGCCGAGGCGGTCGTGGTGTCCGTGGACTACCGGCTCGCGCCCGAGCATCCGTACCCCGCGGCGGTCGACGACGTGTGGGCCGCCACGCAGTGGGTCGCCGCGCATGCCGAGGAGCTCGGTGGCGACGCCGAGCGGCTCGCGGTGGCCGGCGACTCCGCGGGCGGCAACCTCGCCGCCGTGGTCGCGCAGCTCGCGCGTGACGCGGGCGCGCCGGCGCTACGGATGCAGCTGCTGTGGTACCCGGCCACCACGTGGGACACGTCGCTGCCGTCGTTCGCCGAGAACGCCGACGCCCCGGTCCTCGCGATCGATGCCGTCAAGGGCTTCTCGGCCTGGTACGCCGGTCATGTCGACCTGACCGATCCGCCTGCCACGCTGGTGCCCGCGCGCCACGACGACCTGTCGGGTCTGGCGCCCGCCTACATCGCGGTGGCCGGTCACGATCCGCTGCGTGACGACGGTGTGCACTACGGCGACTTGCTGGCCGCGGCCGGGGTTCCGGTGCAGTTGGACAACGCCGACACGCTGGTGCACGGCTACCTCGGCTACTCGGGTGTGGTGCCCGCCGCCACCGAGGCGTTCGACCGTGGCCTCGCCGCACTTCGCGAGGCGCTGCACAGCTAG

Protein Sequence

>Ms3059_MSMEG3059_protein
VPFQLSTADGVEEARRKFSELPRAEIHPELSVHDRTIEGPAGPIGVRVYRPPTAEGVKLPVVLFFHGGGWSVGDLDSYDATARRHAAGAEAVVVSVDYRLAPEHPYPAAVDDVWAATQWVAAHAEELGGDAERLAVAGDSAGGNLAAVVAQLARDAGAPALRMQLLWYPATTWDTSLPSFAENADAPVLAIDAVKGFSAWYAGHVDLTDPPATLVPARHDDLSGLAPAYIAVAGHDPLRDDGVHYGDLLAAAGVPVQLDNADTLVHGYLGYSGVVPAATEAFDRGLAALREALHS

Essentiality:

Call Condition Type Source Notes
Non Essential in vitro CRISPRi [Bosch & DeJesus et al. (2021)]
Non Essential 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) 0.1570 0.6600
VI Lower Bound -1.0820 -3.0660
VI Upper Bound 1.5300 5.3050

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