Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C314
  Reference Plasmid   NC_014107.1
  Reference Plasmid Size   199562
  Reference Plasmid GC Content   0.52
  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
M0084640 CPMFOCAG_00041 36483 3 Skin 0.38 protein_coding missense_variant MODERATE 985T>C Tyr329His






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
CPMFOCAG_00031 VFG034679 Ibes 71.7 5.2e-183 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC experiment
AAPLAMCK_00031 VFG034679 Ibes 71.7 5.2e-183 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC experiment
CPMFOCAG_00031 VFG034652 Ibes 71.7 1e-182 1 459 0.9957 0.9978 Invasion Cu(+)/Ag(+) efflux RND transporter outer membrane channel CusC prediction
AAPLAMCK_00031 VFG034652 Ibes 71.7 1e-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
CPMFOCAG_00009 Copper (Cu), Silver (Ag) 99.3 4.2e-70 1 144 1.0000 1.0000 experiment
CPMFOCAG_00010 Copper (Cu) 99.4 2.2e-194 1 345 1.0000 0.7403 experiment
CPMFOCAG_00013 Copper (Cu) 100 1.7e-126 1 226 1.0000 1.0000 experiment
CPMFOCAG_00014 Copper (Cu) 99.7 5.6e-165 1 309 1.0000 1.0000 experiment
CPMFOCAG_00015 Copper (Cu) 100 4.9e-67 1 126 1.0000 1.0000 experiment
CPMFOCAG_00016 Copper (Cu) 100 2e-175 3 298 0.9933 1.0000 experiment
CPMFOCAG_00017 Copper (Cu) 100 0 1 605 1.0000 1.0000 experiment
CPMFOCAG_00026 Silver (Ag) 98.4 0 1 813 1.0012 0.9879 experiment
CPMFOCAG_00028 Silver (Ag) 99.4 0 1 1048 1.0000 1.0000 experiment
CPMFOCAG_00029 Silver (Ag) 98.1 3.2e-243 1 430 1.0000 1.0000 experiment
CPMFOCAG_00030 Silver (Ag) 98.9 3.1e-47 28 117 0.7692 0.9375 experiment
CPMFOCAG_00031 Silver (Ag) 100 2.1e-256 1 461 1.0000 1.0000 experiment
CPMFOCAG_00032 Silver (Ag) 93 1e-115 1 226 1.0088 1.0000 experiment
CPMFOCAG_00033 Silver (Ag) 92.9 6.1e-254 1 490 1.0061 0.9940 experiment
CPMFOCAG_00034 Silver (Ag) 80.4 1.6e-61 1 143 1.0000 1.0000 experiment
CPMFOCAG_00037 Mercury (Hg) 88.7 5.5e-73 1 151 1.0000 1.0000 experiment
CPMFOCAG_00038 Mercury (Hg) 100 8.9e-63 1 116 1.0000 1.0000 experiment
CPMFOCAG_00039 Mercury (Hg) 94.5 2e-41 1 91 1.0000 1.0000 experiment
CPMFOCAG_00041 Mercury (Hg) 88.7 1.7e-276 2 560 0.9982 0.9964 experiment
CPMFOCAG_00042 Mercury (Hg) 90.9 6.4e-56 1 121 1.0000 1.0000 experiment
CPMFOCAG_00043 Mercury (Hg) 96.2 2.7e-39 1 78 1.0000 1.0000 experiment
CPMFOCAG_00079 Arsenic (As), Antimony (Sb), Bismuth (Bi) 92.2 7.3e-57 2 116 0.9914 0.9829 experiment
CPMFOCAG_00080 Arsenic (As), Antimony (Sb) 92.5 4.9e-64 1 120 1.0000 1.0000 experiment
CPMFOCAG_00081 Arsenic (As), Antimony (Sb) 96.7 0 1 583 1.0000 1.0000 experiment
CPMFOCAG_00082 Arsenic (As), Antimony (Sb) 98.8 2.8e-231 1 429 1.0000 1.0000 experiment
CPMFOCAG_00083 Arsenic (As), Antimony (Sb) 96.5 6.5e-76 1 141 1.0000 1.0000 experiment
CPMFOCAG_00088 Arsenic (As) 81.3 9.5e-104 13 237 0.9494 0.9698 experiment
CPMFOCAG_00093 Nickel (Ni) 100 1.7e-76 1 136 1.0000 0.9714 experiment
CPMFOCAG_00094 Nickel (Ni) 100 5.4e-218 1 376 1.0000 1.0000 experiment
CPMFOCAG_00095 Nickel (Ni) 100 1.4e-47 1 89 1.0000 1.0000 experiment
CPMFOCAG_00096 Nickel (Ni) 100 7.5e-232 1 432 1.0000 1.0000 experiment
CPMFOCAG_00175 Tellurium (Te) 100 1.1e-79 1 155 1.0000 1.0000 experiment
CPMFOCAG_00182 Tellurium (Te) 99.5 6.5e-111 1 193 1.0000 1.0000 experiment
CPMFOCAG_00183 Tellurium (Te) 78.1 4e-160 45 385 0.8909 1.0118 experiment
CPMFOCAG_00184 Tellurium (Te) 91.5 1.5e-57 1 118 0.7815 0.9672 experiment
CPMFOCAG_00185 Tellurium (Te) 90.5 1.4e-175 1 346 1.0000 1.0000 experiment
CPMFOCAG_00186 Tellurium (Te) 96.4 8.5e-103 1 192 1.0000 1.0000 experiment
CPMFOCAG_00187 Tellurium (Te) 88.5 4.8e-98 1 191 1.0000 1.0000 experiment
CPMFOCAG_00202 Mercury (Hg) 100 2.9e-41 1 78 1.0000 1.0000 experiment
CPMFOCAG_00203 Mercury (Hg) 98.3 1.6e-62 1 121 1.0000 1.0000 experiment
CPMFOCAG_00204 Mercury (Hg) 85.4 1.6e-266 1 548 1.0237 1.0000 experiment
CPMFOCAG_00205 Mercury (Hg) 100 3.3e-40 1 81 1.0000 1.0000 experiment
CPMFOCAG_00206 Mercury (Hg) 93.3 4.9e-40 1 90 0.9890 0.9890 experiment
CPMFOCAG_00207 Mercury (Hg) 94 4.1e-60 1 116 1.0000 1.0000 experiment
CPMFOCAG_00208 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 94.4 1.5e-75 1 144 1.0000 1.0000 experiment
AAPLAMCK_00009 Copper (Cu), Silver (Ag) 99.3 4.2e-70 1 144 1.0000 1.0000 experiment
AAPLAMCK_00010 Copper (Cu) 99.4 2.2e-194 1 345 1.0000 0.7403 experiment
AAPLAMCK_00013 Copper (Cu) 100 1.7e-126 1 226 1.0000 1.0000 experiment
AAPLAMCK_00014 Copper (Cu) 99.7 5.6e-165 1 309 1.0000 1.0000 experiment
AAPLAMCK_00015 Copper (Cu) 100 4.9e-67 1 126 1.0000 1.0000 experiment
AAPLAMCK_00016 Copper (Cu) 100 2e-175 3 298 0.9933 1.0000 experiment
AAPLAMCK_00017 Copper (Cu) 100 0 1 605 1.0000 1.0000 experiment
AAPLAMCK_00026 Silver (Ag) 98.4 0 1 813 1.0012 0.9879 experiment
AAPLAMCK_00028 Silver (Ag) 99.4 0 1 1048 1.0000 1.0000 experiment
AAPLAMCK_00029 Silver (Ag) 98.1 3.2e-243 1 430 1.0000 1.0000 experiment
AAPLAMCK_00030 Silver (Ag) 98.9 3.1e-47 28 117 0.7692 0.9375 experiment
AAPLAMCK_00031 Silver (Ag) 100 2.1e-256 1 461 1.0000 1.0000 experiment
AAPLAMCK_00032 Silver (Ag) 93 1e-115 1 226 1.0088 1.0000 experiment
AAPLAMCK_00033 Silver (Ag) 92.9 6.1e-254 1 490 1.0061 0.9940 experiment
AAPLAMCK_00034 Silver (Ag) 80.4 1.6e-61 1 143 1.0000 1.0000 experiment
AAPLAMCK_00037 Mercury (Hg) 88.7 5.5e-73 1 151 1.0000 1.0000 experiment
AAPLAMCK_00038 Mercury (Hg) 100 8.9e-63 1 116 1.0000 1.0000 experiment
AAPLAMCK_00039 Mercury (Hg) 94.5 2e-41 1 91 1.0000 1.0000 experiment
AAPLAMCK_00041 Mercury (Hg) 88.7 1.7e-276 2 560 0.9982 0.9964 experiment
AAPLAMCK_00042 Mercury (Hg) 90.9 6.4e-56 1 121 1.0000 1.0000 experiment
AAPLAMCK_00043 Mercury (Hg) 96.2 2.7e-39 1 78 1.0000 1.0000 experiment
AAPLAMCK_00079 Arsenic (As), Antimony (Sb), Bismuth (Bi) 92.2 7.3e-57 2 116 0.9914 0.9829 experiment
AAPLAMCK_00080 Arsenic (As), Antimony (Sb) 92.5 4.9e-64 1 120 1.0000 1.0000 experiment
AAPLAMCK_00081 Arsenic (As), Antimony (Sb) 96.7 0 1 583 1.0000 1.0000 experiment
AAPLAMCK_00082 Arsenic (As), Antimony (Sb) 98.8 2.8e-231 1 429 1.0000 1.0000 experiment
AAPLAMCK_00083 Arsenic (As), Antimony (Sb) 96.5 6.5e-76 1 141 1.0000 1.0000 experiment
AAPLAMCK_00088 Arsenic (As) 81.3 9.5e-104 13 237 0.9494 0.9698 experiment
AAPLAMCK_00093 Nickel (Ni) 100 1.7e-76 1 136 1.0000 0.9714 experiment
AAPLAMCK_00094 Nickel (Ni) 100 5.4e-218 1 376 1.0000 1.0000 experiment
AAPLAMCK_00095 Nickel (Ni) 100 1.4e-47 1 89 1.0000 1.0000 experiment
AAPLAMCK_00096 Nickel (Ni) 100 7.5e-232 1 432 1.0000 1.0000 experiment
AAPLAMCK_00175 Tellurium (Te) 100 1.1e-79 1 155 1.0000 1.0000 experiment
AAPLAMCK_00182 Tellurium (Te) 99.5 6.5e-111 1 193 1.0000 1.0000 experiment
AAPLAMCK_00183 Tellurium (Te) 78.1 4e-160 45 385 0.8909 1.0118 experiment
AAPLAMCK_00184 Tellurium (Te) 91.5 1.5e-57 1 118 0.7815 0.9672 experiment
AAPLAMCK_00185 Tellurium (Te) 90.5 1.4e-175 1 346 1.0000 1.0000 experiment
AAPLAMCK_00186 Tellurium (Te) 96.4 8.5e-103 1 192 1.0000 1.0000 experiment
AAPLAMCK_00187 Tellurium (Te) 88.5 4.8e-98 1 191 1.0000 1.0000 experiment
AAPLAMCK_00202 Mercury (Hg) 100 2.9e-41 1 78 1.0000 1.0000 experiment
AAPLAMCK_00203 Mercury (Hg) 98.3 1.6e-62 1 121 1.0000 1.0000 experiment
AAPLAMCK_00204 Mercury (Hg) 85.4 1.6e-266 1 548 1.0237 1.0000 experiment
AAPLAMCK_00205 Mercury (Hg) 100 3.3e-40 1 81 1.0000 1.0000 experiment
AAPLAMCK_00206 Mercury (Hg) 93.3 4.9e-40 1 90 0.9890 0.9890 experiment
AAPLAMCK_00207 Mercury (Hg) 94 4.1e-60 1 116 1.0000 1.0000 experiment
AAPLAMCK_00208 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 94.4 1.5e-75 1 144 1.0000 1.0000 experiment
CPMFOCAG_00009 Copper (Cu), Silver (Ag) 100 4.3e-68 1 144 1.0000 1.0000 prediction
CPMFOCAG_00010 Copper (Cu) 100 2.1e-193 1 345 1.0000 0.7403 prediction
CPMFOCAG_00013 Copper (Cu) 100 3.9e-124 1 226 1.0000 0.9741 prediction
CPMFOCAG_00014 Copper (Cu) 100 5.8e-163 1 309 1.0000 1.0000 prediction
CPMFOCAG_00015 Copper (Cu) 100 1.1e-64 1 126 1.0000 1.0000 prediction
CPMFOCAG_00016 Copper (Cu) 100 4.1e-174 1 298 1.0000 0.9967 prediction
CPMFOCAG_00017 Copper (Cu) 100 0 1 605 1.0000 0.9967 prediction
CPMFOCAG_00026 Silver (Ag) 100 0 1 813 1.0000 1.0000 prediction
CPMFOCAG_00028 Silver (Ag) 100 0 1 1048 1.0000 1.0000 prediction
CPMFOCAG_00029 Silver (Ag) 100 1.4e-244 1 430 1.0000 1.0000 prediction
CPMFOCAG_00030 Silver (Ag) 100 1.6e-60 1 117 1.0000 1.0000 prediction
CPMFOCAG_00031 Silver (Ag) 100 4.8e-254 1 461 1.0000 1.0000 prediction
CPMFOCAG_00032 Silver (Ag) 100 1.7e-124 1 226 1.0000 0.9658 prediction
CPMFOCAG_00033 Silver (Ag) 100 3.1e-275 1 491 1.0000 1.0000 prediction
CPMFOCAG_00034 Silver (Ag) 83.2 1.3e-61 1 143 1.0000 1.0000 prediction
CPMFOCAG_00037 Mercury (Hg) 99.3 7.9e-81 1 151 1.0000 1.0000 prediction
CPMFOCAG_00038 Mercury (Hg) 100 2e-60 1 116 1.0000 1.0000 prediction
CPMFOCAG_00039 Mercury (Hg) 100 3.7e-41 1 91 1.0000 1.0000 prediction
CPMFOCAG_00041 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 100 6.100000000002e-312 1 560 1.0000 1.0000 prediction
CPMFOCAG_00042 Mercury (Hg) 99.2 4e-59 1 121 1.0000 1.0000 prediction
CPMFOCAG_00043 Mercury (Hg) 98.7 5.1e-39 1 78 1.0000 1.0000 prediction
CPMFOCAG_00079 Arsenic (As) 100 2e-60 1 116 1.0000 1.0000 prediction
CPMFOCAG_00080 Arsenic (As) 100 1.5e-66 1 120 1.0000 1.0000 prediction
CPMFOCAG_00081 Arsenic (As), Antimony (Sb) 100 0 1 583 1.0000 1.0000 prediction
CPMFOCAG_00082 Arsenic (As), Antimony (Sb) 100 6.3e-232 1 429 1.0000 1.0000 prediction
CPMFOCAG_00083 Arsenic (As) 100 1.9e-76 1 141 1.0000 1.0000 prediction
CPMFOCAG_00088 Arsenic (As) 84.4 3.2e-113 1 237 1.0000 1.0000 prediction
CPMFOCAG_00093 Nickel (Ni) 100 3.8e-74 1 136 1.0000 0.9714 prediction
CPMFOCAG_00094 Nickel (Ni) 100 1.2e-215 1 376 1.0000 1.0000 prediction
CPMFOCAG_00095 Nickel (Ni) 100 3.2e-45 1 89 1.0000 1.0000 prediction
CPMFOCAG_00096 Nickel (Ni), Cobalt (Co) 100 1.7e-229 1 432 1.0000 1.0000 prediction
CPMFOCAG_00100 Chromium (Cr), Methyl Viologen [class: Paraquat], Menadione [class: Naphthoquinone] 100 3.9e-186 1 325 1.0000 1.0000 prediction
CPMFOCAG_00101 Chromium (Cr) 70.8 3.4e-183 2 457 0.9935 1.0022 prediction
CPMFOCAG_00175 Tellurium (Te) 100 2.4e-77 1 155 1.0000 1.0000 prediction
CPMFOCAG_00182 Tellurium (Te) 100 3.9e-109 1 193 1.0000 1.0000 prediction
CPMFOCAG_00183 Tellurium (Te) 79.8 4.8e-183 1 385 1.0052 1.0104 prediction
CPMFOCAG_00184 Tellurium (Te) 100 2.5e-79 1 151 1.0000 1.0000 prediction
CPMFOCAG_00185 Tellurium (Te) 100 7.4e-191 1 346 1.0000 1.0000 prediction
CPMFOCAG_00186 Tellurium (Te) 99.5 8.5e-104 1 192 1.0000 1.0000 prediction
CPMFOCAG_00187 Tellurium (Te) 89.5 1.7e-96 1 191 1.0000 1.0000 prediction
CPMFOCAG_00202 Mercury (Hg) 100 6.6e-39 1 78 1.0000 1.0000 prediction
CPMFOCAG_00203 Mercury (Hg) 100 7.3e-61 1 121 1.0000 1.0000 prediction
CPMFOCAG_00204 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 100 1.7e-306 1 548 1.0000 1.0000 prediction
CPMFOCAG_00205 Mercury (Hg) 100 7.6e-38 1 81 1.0000 1.0000 prediction
CPMFOCAG_00206 Mercury (Hg) 100 8.2e-41 1 91 1.0000 0.9785 prediction
CPMFOCAG_00207 Mercury (Hg) 100 7e-61 1 116 1.0000 1.0000 prediction
CPMFOCAG_00208 Mercury (Hg) 100 6.6e-77 1 144 1.0000 1.0000 prediction
AAPLAMCK_00009 Copper (Cu), Silver (Ag) 100 4.3e-68 1 144 1.0000 1.0000 prediction
AAPLAMCK_00010 Copper (Cu) 100 2.1e-193 1 345 1.0000 0.7403 prediction
AAPLAMCK_00013 Copper (Cu) 100 3.9e-124 1 226 1.0000 0.9741 prediction
AAPLAMCK_00014 Copper (Cu) 100 5.8e-163 1 309 1.0000 1.0000 prediction
AAPLAMCK_00015 Copper (Cu) 100 1.1e-64 1 126 1.0000 1.0000 prediction
AAPLAMCK_00016 Copper (Cu) 100 4.1e-174 1 298 1.0000 0.9967 prediction
AAPLAMCK_00017 Copper (Cu) 100 0 1 605 1.0000 0.9967 prediction
AAPLAMCK_00026 Silver (Ag) 100 0 1 813 1.0000 1.0000 prediction
AAPLAMCK_00028 Silver (Ag) 100 0 1 1048 1.0000 1.0000 prediction
AAPLAMCK_00029 Silver (Ag) 100 1.4e-244 1 430 1.0000 1.0000 prediction
AAPLAMCK_00030 Silver (Ag) 100 1.6e-60 1 117 1.0000 1.0000 prediction
AAPLAMCK_00031 Silver (Ag) 100 4.8e-254 1 461 1.0000 1.0000 prediction
AAPLAMCK_00032 Silver (Ag) 100 1.7e-124 1 226 1.0000 0.9658 prediction
AAPLAMCK_00033 Silver (Ag) 100 3.1e-275 1 491 1.0000 1.0000 prediction
AAPLAMCK_00034 Silver (Ag) 83.2 1.3e-61 1 143 1.0000 1.0000 prediction
AAPLAMCK_00037 Mercury (Hg) 99.3 7.9e-81 1 151 1.0000 1.0000 prediction
AAPLAMCK_00038 Mercury (Hg) 100 2e-60 1 116 1.0000 1.0000 prediction
AAPLAMCK_00039 Mercury (Hg) 100 3.7e-41 1 91 1.0000 1.0000 prediction
AAPLAMCK_00041 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 100 6.100000000002e-312 1 560 1.0000 1.0000 prediction
AAPLAMCK_00042 Mercury (Hg) 99.2 4e-59 1 121 1.0000 1.0000 prediction
AAPLAMCK_00043 Mercury (Hg) 98.7 5.1e-39 1 78 1.0000 1.0000 prediction
AAPLAMCK_00079 Arsenic (As) 100 2e-60 1 116 1.0000 1.0000 prediction
AAPLAMCK_00080 Arsenic (As) 100 1.5e-66 1 120 1.0000 1.0000 prediction
AAPLAMCK_00081 Arsenic (As), Antimony (Sb) 100 0 1 583 1.0000 1.0000 prediction
AAPLAMCK_00082 Arsenic (As), Antimony (Sb) 100 6.3e-232 1 429 1.0000 1.0000 prediction
AAPLAMCK_00083 Arsenic (As) 100 1.9e-76 1 141 1.0000 1.0000 prediction
AAPLAMCK_00088 Arsenic (As) 84.4 3.2e-113 1 237 1.0000 1.0000 prediction
AAPLAMCK_00093 Nickel (Ni) 100 3.8e-74 1 136 1.0000 0.9714 prediction
AAPLAMCK_00094 Nickel (Ni) 100 1.2e-215 1 376 1.0000 1.0000 prediction
AAPLAMCK_00095 Nickel (Ni) 100 3.2e-45 1 89 1.0000 1.0000 prediction
AAPLAMCK_00096 Nickel (Ni), Cobalt (Co) 100 1.7e-229 1 432 1.0000 1.0000 prediction
AAPLAMCK_00100 Chromium (Cr), Methyl Viologen [class: Paraquat], Menadione [class: Naphthoquinone] 100 3.9e-186 1 325 1.0000 1.0000 prediction
AAPLAMCK_00101 Chromium (Cr) 70.8 3.4e-183 2 457 0.9935 1.0022 prediction
AAPLAMCK_00175 Tellurium (Te) 100 2.4e-77 1 155 1.0000 1.0000 prediction
AAPLAMCK_00182 Tellurium (Te) 100 3.9e-109 1 193 1.0000 1.0000 prediction
AAPLAMCK_00183 Tellurium (Te) 79.8 4.8e-183 1 385 1.0052 1.0104 prediction
AAPLAMCK_00184 Tellurium (Te) 100 2.5e-79 1 151 1.0000 1.0000 prediction
AAPLAMCK_00185 Tellurium (Te) 100 7.4e-191 1 346 1.0000 1.0000 prediction
AAPLAMCK_00186 Tellurium (Te) 99.5 8.5e-104 1 192 1.0000 1.0000 prediction
AAPLAMCK_00187 Tellurium (Te) 89.5 1.7e-96 1 191 1.0000 1.0000 prediction
AAPLAMCK_00202 Mercury (Hg) 100 6.6e-39 1 78 1.0000 1.0000 prediction
AAPLAMCK_00203 Mercury (Hg) 100 7.3e-61 1 121 1.0000 1.0000 prediction
AAPLAMCK_00204 Mercury (Hg), Phenylmercury Acetate [class: Organo-mercury] 100 1.7e-306 1 548 1.0000 1.0000 prediction
AAPLAMCK_00205 Mercury (Hg) 100 7.6e-38 1 81 1.0000 1.0000 prediction
AAPLAMCK_00206 Mercury (Hg) 100 8.2e-41 1 91 1.0000 0.9785 prediction
AAPLAMCK_00207 Mercury (Hg) 100 7e-61 1 116 1.0000 1.0000 prediction
AAPLAMCK_00208 Mercury (Hg) 100 6.6e-77 1 144 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
CPMFOCAG_00007 PHI:11470 STM14_3563 72.7 1.2e-26 5 81 0.8953 0.8462 rodents salmonellosis putative transcriptional regulator reduced virulence
AAPLAMCK_00007 PHI:11470 STM14_3563 72.7 1.2e-26 5 81 0.8953 0.8462 rodents salmonellosis putative transcriptional regulator reduced virulence






        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
CPMFOCAG_00121 BBT93088.1|GH23 100 4.69e-127 1 179 1 1
AAPLAMCK_00121 BBT93088.1|GH23 100 4.69e-127 1 179 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
CPMFOCAG_00014 9.B.62.1.1 99.7 2.1e-163 1 309 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.62 The Copper Resistance (CopD) Family
CPMFOCAG_00016 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
CPMFOCAG_00026 3.A.3.5.4 98.4 0 1 813 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
CPMFOCAG_00028 2.A.6.1.3 99.4 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
CPMFOCAG_00031 1.B.17.3.4 100 7.8e-255 1 461 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.17 The Outer Membrane Factor (OMF) Family
CPMFOCAG_00038 1.A.72.3.1 94 6.5e-57 1 116 1.0000 1.2747 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00039 1.A.72.3.1 94.5 7.4e-40 1 91 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00043 1.A.72.5.1 80.8 7.5e-33 1 78 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00081 3.A.4.1.1 86.9 4.4e-287 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
CPMFOCAG_00082 3.A.4.1.1 93.7 1.2e-220 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
CPMFOCAG_00094 2.A.113.1.2 100 2e-216 1 376 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.113 The Nickel/cobalt Transporter (NicO) Family
CPMFOCAG_00096 2.A.1.31.8 94.7 2e-220 1 432 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.1 The Major Facilitator Superfamily (MFS)
CPMFOCAG_00185 2.A.109.1.1 100 1.2e-191 1 346 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.109 The Tellurium Ion Resistance (TerC) Family
CPMFOCAG_00202 1.A.72.5.1 78.2 1.1e-31 1 78 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00205 1.A.72.1.1 100 1.2e-38 1 81 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00206 1.A.72.3.1 93.3 3.1e-38 1 90 0.9890 0.9890 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
CPMFOCAG_00207 1.A.72.3.1 93.1 1.1e-56 1 116 1.0000 1.2747 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00014 9.B.62.1.1 99.7 2.1e-163 1 309 1.0000 1.0000 9 Incompletely Characterized Transport Systems 9.B Putative transport proteins 9.B.62 The Copper Resistance (CopD) Family
AAPLAMCK_00016 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
AAPLAMCK_00026 3.A.3.5.4 98.4 0 1 813 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
AAPLAMCK_00028 2.A.6.1.3 99.4 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
AAPLAMCK_00031 1.B.17.3.4 100 7.8e-255 1 461 1.0000 1.0000 1 Channels/Pores 1.B β-Barrel Porins 1.B.17 The Outer Membrane Factor (OMF) Family
AAPLAMCK_00038 1.A.72.3.1 94 6.5e-57 1 116 1.0000 1.2747 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00039 1.A.72.3.1 94.5 7.4e-40 1 91 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00043 1.A.72.5.1 80.8 7.5e-33 1 78 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00081 3.A.4.1.1 86.9 4.4e-287 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
AAPLAMCK_00082 3.A.4.1.1 93.7 1.2e-220 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
AAPLAMCK_00094 2.A.113.1.2 100 2e-216 1 376 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.113 The Nickel/cobalt Transporter (NicO) Family
AAPLAMCK_00096 2.A.1.31.8 94.7 2e-220 1 432 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.1 The Major Facilitator Superfamily (MFS)
AAPLAMCK_00185 2.A.109.1.1 100 1.2e-191 1 346 1.0000 1.0000 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.109 The Tellurium Ion Resistance (TerC) Family
AAPLAMCK_00202 1.A.72.5.1 78.2 1.1e-31 1 78 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00205 1.A.72.1.1 100 1.2e-38 1 81 1.0000 1.0000 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00206 1.A.72.3.1 93.3 3.1e-38 1 90 0.9890 0.9890 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily
AAPLAMCK_00207 1.A.72.3.1 93.1 1.1e-56 1 116 1.0000 1.2747 1 Channels/Pores 1.A α-Type Channels 1.A.72 The Mercuric Ion Pore (Mer) Superfamily