Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C926
  Reference Plasmid   NZ_CP081815.1
  Reference Plasmid Size   180897
  Reference Plasmid GC Content   0.53
  Reference Plasmid Mobility Type   conjugative





Mutation sites in the plasmid cluster


The table lists mutations identified in the plasmid cluster.
Note: Mutations identified in this plasmid cluster are listed below. Click on a mutation ID to view full details..

mutid gname pos count tissue frequnt biotype consequence impact nucchange aachange
M0188616 GHOGJALO_00017 19204 3 Gut 0.43 protein_coding upstream_gene_variant MODIFIER -4011G>A None






Analysis of virulence factors contributing to bacterial pathogenicity


This table presents virulence factors identified within the plasmid cluster.
      Note: Virulence factor analysis was performed using VFDB. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known virulence factors are listed.

Gene Name vf_gene_id vf_name identity evalue qstart qend query_coverage subject_coverage vf_category gene_description condition
GHOGJALO_00064 VFG034679 Ibes 71.5 2.6e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC experiment
GHOGJALO_00064 VFG034652 Ibes 71.5 5e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC prediction







        Analysis of biocide and heavy metal resistance genes to assess antimicrobial risk and environmental impact


This table presents biocides and heavy metals resistance genes identified within the plasmid cluster.
      Note: Analyzing biocide and heavy metal resistance genes based on BacMet to evaluate bacterial resistance risk and the potential impact of environmental heavy metal contamination. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, E-value < 1e-5) to known biocide and heavy metal resistance genes are listed.

Gene Name compound identity evalue qstart qend query_coverage subject_coverage group
GHOGJALO_00031 Arsenic (As), Antimony (Sb), Bismuth (Bi) 89.7 5e-58 1 116 1.0000 0.9915 experiment
GHOGJALO_00032 Arsenic (As), Antimony (Sb) 90.8 7e-63 1 120 1.0000 1.0000 experiment
GHOGJALO_00033 Arsenic (As), Antimony (Sb) 98.8 0 1 583 1.0000 1.0000 experiment
GHOGJALO_00034 Arsenic (As), Antimony (Sb) 98.8 8.2e-231 1 429 1.0000 1.0000 experiment
GHOGJALO_00035 Arsenic (As), Antimony (Sb) 99.3 4.1e-78 1 141 1.0000 1.0000 experiment
GHOGJALO_00040 Arsenic (As) 82.7 6.4e-100 30 237 0.8776 0.8966 experiment
GHOGJALO_00049 Copper (Cu), Silver (Ag) 97.9 2.7e-69 1 144 1.0000 1.0000 experiment
GHOGJALO_00050 Copper (Cu) 99.6 4e-263 1 466 1.0000 1.0000 experiment
GHOGJALO_00051 Copper (Cu) 100 1.7e-126 1 226 1.0000 1.0000 experiment
GHOGJALO_00052 Copper (Cu) 99.7 2.5e-165 1 309 1.0000 1.0000 experiment
GHOGJALO_00053 Copper (Cu) 100 4.9e-67 1 126 1.0000 1.0000 experiment
GHOGJALO_00054 Copper (Cu) 100 2e-175 3 298 0.9933 1.0000 experiment
GHOGJALO_00055 Copper (Cu) 100 0 1 605 1.0000 1.0000 experiment
GHOGJALO_00059 Silver (Ag) 94.5 0 1 815 1.0012 0.9903 experiment
GHOGJALO_00061 Silver (Ag) 99.1 0 1 1048 1.0000 1.0000 experiment
GHOGJALO_00062 Silver (Ag) 98.4 3.2e-243 1 430 1.0000 1.0000 experiment
GHOGJALO_00063 Silver (Ag) 98.9 3.1e-47 28 117 0.7692 0.9375 experiment
GHOGJALO_00064 Silver (Ag) 99.6 1.8e-255 1 461 1.0000 1.0000 experiment
GHOGJALO_00065 Silver (Ag) 95.2 1.1e-117 1 226 1.0088 1.0000 experiment
GHOGJALO_00066 Silver (Ag) 93.7 2.2e-256 1 491 1.0081 0.9960 experiment
GHOGJALO_00067 Silver (Ag) 91.6 3.2e-70 1 143 1.0000 1.0000 experiment
GHOGJALO_00031 Arsenic (As) 100 1.8e-61 1 116 1.0000 1.0000 prediction
GHOGJALO_00032 Arsenic (As) 100 5.2e-67 1 120 1.0000 1.0000 prediction
GHOGJALO_00033 Arsenic (As), Antimony (Sb) 99.8 0 1 583 1.0000 1.0000 prediction
GHOGJALO_00034 Arsenic (As), Antimony (Sb) 100 6.9e-231 1 429 1.0000 1.0000 prediction
GHOGJALO_00035 Arsenic (As) 100 2.5e-76 1 141 1.0000 1.0000 prediction
GHOGJALO_00040 Arsenic (As) 82.7 9.7e-110 1 237 1.0000 1.0000 prediction
GHOGJALO_00049 Copper (Cu), Silver (Ag) 100 2.5e-68 1 144 1.0000 1.0000 prediction
GHOGJALO_00050 Copper (Cu) 100 2.8e-262 1 466 1.0000 1.0000 prediction
GHOGJALO_00051 Copper (Cu) 100 3.9e-124 1 226 1.0000 0.9741 prediction
GHOGJALO_00052 Copper (Cu) 100 4.4e-163 1 309 1.0000 1.0000 prediction
GHOGJALO_00053 Copper (Cu) 100 1.1e-64 1 126 1.0000 1.0000 prediction
GHOGJALO_00054 Copper (Cu) 100 4.1e-174 1 298 1.0000 0.9967 prediction
GHOGJALO_00055 Copper (Cu) 100 0 1 605 1.0000 0.9967 prediction
GHOGJALO_00059 Silver (Ag) 100 0 1 815 1.0000 1.0000 prediction
GHOGJALO_00061 Silver (Ag) 99.8 0 1 1048 1.0000 1.0000 prediction
GHOGJALO_00062 Silver (Ag) 100 3.2e-244 1 430 1.0000 1.0000 prediction
GHOGJALO_00063 Silver (Ag) 100 1.6e-60 1 117 1.0000 1.0000 prediction
GHOGJALO_00064 Silver (Ag) 99.8 1.8e-253 1 461 1.0000 1.0000 prediction
GHOGJALO_00065 Silver (Ag) 99.6 6.6e-124 1 226 1.0000 1.0000 prediction
GHOGJALO_00066 Silver (Ag) 99.6 2.6e-274 1 491 1.0000 1.0000 prediction
GHOGJALO_00067 Silver (Ag) 100 8e-75 1 143 1.0000 1.0000 prediction






        Analyzing antimicrobial resistance genes to assess bacterial resistance to antibiotics and other antimicrobial agents


This table presents antimicrobial resistance genes identified within the plasmid cluster.
      Note: Antimicrobial resistance was performed using CARD. Genes in plasmid clusters showing strong homology (identity > 70%, coverage > 70%, E-value < 1e-5) to known antimicrobial resistance genes are listed.

Gene Name aro_accession identity evalue qstart qend query_coverage subject_coverage drug_class amr_gene_family resistance_mechanism






Analysis of pathogenicity genes to explore pathogen-host interactions


This table presents host pathogen-host interactions within the plasmid cluster.
      Note: Analyzing pathogenicity-related genes using PHI-base to understand pathogen virulence mechanisms and their impact on host interactions. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e-5) to known pathogenicity-related genes are listed.

Gene Name phi_molconn_id host gene_name identity evalue qstart qend query_coverage subject_coverage host_descripton disease_name function phenotype_of_mutant
GHOGJALO_00165 PHI:7477 orf82 (VK055_1982) 100 0 1 680 1.0000 1.0000 rodents pneumonia hypothetical protein unaffected pathogenicity






        Analyzing carbohydrate-active enzyme genes to uncover mechanisms of nutrient degradation


This table presents carbohydrate-active enzyme genes identified within the plasmid cluster.
      Note: Annotation of carbohydrate-active enzyme genes was performed using CAZy to explore mechanisms of nutrient breakdown and utilization. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known CAZyme genes are listed.

Gene Name cazy_id identity evalue qstart qend query_coverage subject_coverage
GHOGJALO_00081 AIX72280.1|CE4 100 2.05e-228 1 297 1 0.99
GHOGJALO_00178 QIZ17418.1|GH172 99.7 2.96e-290 1 372 1 1





        Analyzing transport proteins to understand bacterial strategies for substrate uptake and detoxification


This table presents transport proteins within the plasmid cluster.
      Note: Investigation of transport proteins based on TCDB to uncover bacterial mechanisms of substrate transport and environmental detoxification. Genes in plasmid clusters showing strong homology (identity > 70%, subject coverage > 70%, and E-value < 1e−5) to known transport protein entries are listed.

Gene Name tcid identity evalue qstart qend query_coverage subject_coverage class_field class_term subclass subclass_term family family_term
GHOGJALO_00033 3.A.4.1.1 87.4 8e-289 1 581 0.9966 1.3543 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.4 The Arsenite-Antimonite (ArsAB) Efflux Family
GHOGJALO_00034 3.A.4.1.1 93.2 3.2e-218 1 429 1.0000 1.0000 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.4 The Arsenite-Antimonite (ArsAB) Efflux Family
GHOGJALO_00052 9.B.62.1.1 99.7 9.5e-164 1 309 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.62 The Copper Resistance (CopD) Family
GHOGJALO_00054 1.B.76.1.5 100 7.5e-174 3 298 0.9933 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.76 The Copper Resistance Putative Porin (CopB) Family
GHOGJALO_00057 1.A.34.1.3 99.6 4.3e-135 1 245 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.34 The <i>Bacillus</i> Gap Junction-like Channel-forming Complex (GJ-CC) Family
GHOGJALO_00059 3.A.3.5.4 94.5 0 1 815 1.0000 0.9879 3 Primary Active Transporters 3.A P-P-bond-hydrolysis-driven transporters 3.A.3 The P-type ATPase (P-ATPase) Superfamily
GHOGJALO_00061 2.A.6.1.3 99.1 0 1 1048 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.6 The Resistance-Nodulation-Cell Division (RND) Superfamily
GHOGJALO_00064 1.B.17.3.4 99.6 6.6e-254 1 461 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.17 The Outer Membrane Factor (OMF) Family
GHOGJALO_00095 2.A.13.1.3 89.5 1.1e-210 1 438 0.9977 0.9977 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.13 The C<sub>4</sub>-Dicarboxylate Uptake (Dcu) Family