Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C3283
  Reference Plasmid   MET0774_bin.7_new__k81_2995
  Reference Plasmid Size   3903
  Reference Plasmid GC Content   0.34
  Reference Plasmid Mobility Type   non-mobilizable





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
M0083726 DNOJKNIC_00001 200 6 Skin 0.60 protein_coding missense_variant MODERATE 303A>T Glu101Asp
M0083727 DNOJKNIC_00001 242 4 Skin 0.40 protein_coding synonymous_variant LOW 261T>C Tyr87Tyr
M0083728 DNOJKNIC_00001 320 5 Skin 0.50 protein_coding synonymous_variant LOW 183C>G Ala61Ala
M0083729 DNOJKNIC_00002 829 10 Skin 1.00 protein_coding missense_variant MODERATE 568A>G Thr190Ala
M0083730 DNOJKNIC_00003 1596 3 Skin 0.30 protein_coding missense_variant MODERATE 407C>A Ala136Glu
M0083731 DNOJKNIC_00004 2332 4 Skin 0.40 protein_coding synonymous_variant LOW 330A>C Ile110Ile
M0083732 DNOJKNIC_00004 2464 4 Skin 0.40 protein_coding synonymous_variant LOW 462T>C Arg154Arg
M0083733 DNOJKNIC_00004 2566 3 Skin 0.30 protein_coding missense_variant MODERATE 564A>C Glu188Asp
M0083734 DNOJKNIC_00005 2753 3 Skin 0.30 protein_coding synonymous_variant LOW 78T>C Thr26Thr
M0083735 DNOJKNIC_00005 3221 6 Skin 0.60 protein_coding synonymous_variant LOW 546C>A Pro182Pro
M0083736 DNOJKNIC_00001 3391 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -2889G>T None
M0083737 DNOJKNIC_00001 3392 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -2890C>T None
M0083738 DNOJKNIC_00001 3398 4 Skin 0.40 protein_coding upstream_gene_variant MODIFIER -2896C>T None
M0083739 DNOJKNIC_00001 3404 4 Skin 0.40 protein_coding upstream_gene_variant MODIFIER -2902G>T None
M0083740 DNOJKNIC_00006 3600 5 Skin 0.50 protein_coding synonymous_variant LOW 265C>T Leu89Leu
M0083741 DNOJKNIC_00006 3697 6 Skin 0.60 protein_coding synonymous_variant LOW 168A>G Lys56Lys
M0083742 DNOJKNIC_00006 3814 7 Skin 0.70 protein_coding synonymous_variant LOW 51T>C Ser17Ser
M0083743 DNOJKNIC_00006 3844 9 Skin 0.90 protein_coding stop_gained HIGH 21T>A Tyr7*
M0083744 DNOJKNIC_00006 3846 9 Skin 0.90 protein_coding missense_variant MODERATE 19T>C Tyr7His
M0083745 DNOJKNIC_00001 524 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -22A>G None
M0083746 DNOJKNIC_00002 647 3 Skin 0.30 protein_coding synonymous_variant LOW 750T>A Pro250Pro
M0083747 DNOJKNIC_00002 902 4 Skin 0.40 protein_coding synonymous_variant LOW 495C>A Gly165Gly
M0083748 DNOJKNIC_00002 905 8 Skin 0.80 protein_coding synonymous_variant LOW 492A>G Pro164Pro
M0083749 DNOJKNIC_00002 950 6 Skin 0.60 protein_coding synonymous_variant LOW 447T>G Gly149Gly
M0083750 DNOJKNIC_00003 1856 7 Skin 0.70 protein_coding synonymous_variant LOW 147A>G Gln49Gln
M0083751 DNOJKNIC_00003 1883 4 Skin 0.40 protein_coding synonymous_variant LOW 120C>T Ala40Ala
M0083752 DNOJKNIC_00003 1886 7 Skin 0.70 protein_coding synonymous_variant LOW 117A>T Arg39Arg
M0083753 DNOJKNIC_00003 1898 7 Skin 0.70 protein_coding missense_variant MODERATE 105A>C Glu35Asp
M0083754 DNOJKNIC_00003 1901 6 Skin 0.60 protein_coding synonymous_variant LOW 102T>C Asn34Asn
M0083755 DNOJKNIC_00003 1928 7 Skin 0.70 protein_coding synonymous_variant LOW 75T>A Pro25Pro
M0083756 DNOJKNIC_00003 1943 7 Skin 0.70 protein_coding synonymous_variant LOW 60A>G Gln20Gln
M0083757 DNOJKNIC_00003 1952 6 Skin 0.60 protein_coding synonymous_variant LOW 51A>G Lys17Lys
M0083758 DNOJKNIC_00005 2726 3 Skin 0.30 protein_coding synonymous_variant LOW 51G>A Thr17Thr
M0083759 DNOJKNIC_00005 3095 5 Skin 0.50 protein_coding synonymous_variant LOW 420T>C Asp140Asp
M0083760 DNOJKNIC_00005 3107 6 Skin 0.60 protein_coding synonymous_variant LOW 432A>G Val144Val
M0083761 DNOJKNIC_00005 3113 5 Skin 0.50 protein_coding synonymous_variant LOW 438C>T Asp146Asp
M0083762 DNOJKNIC_00005 3224 8 Skin 0.80 protein_coding synonymous_variant LOW 549C>A Val183Val
M0083763 DNOJKNIC_00001 293 4 Skin 0.40 protein_coding synonymous_variant LOW 210A>G Ala70Ala
M0083764 DNOJKNIC_00001 299 4 Skin 0.40 protein_coding synonymous_variant LOW 204C>T Asp68Asp
M0083765 DNOJKNIC_00001 309 4 Skin 0.40 protein_coding missense_variant MODERATE 194C>A Ala65Glu
M0083766 DNOJKNIC_00001 521 4 Skin 0.40 protein_coding upstream_gene_variant MODIFIER -19T>G None
M0083767 DNOJKNIC_00002 692 5 Skin 0.50 protein_coding synonymous_variant LOW 705A>T Gly235Gly
M0083768 DNOJKNIC_00002 1280 3 Skin 0.30 protein_coding synonymous_variant LOW 117C>T Val39Val
M0083769 DNOJKNIC_00001 1494 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -992A>G None
M0083770 DNOJKNIC_00003 1528 6 Skin 0.60 protein_coding missense_variant MODERATE 475T>C Ser159Pro
M0083771 DNOJKNIC_00003 1712 5 Skin 0.50 protein_coding synonymous_variant LOW 291G>A Arg97Arg
M0083772 DNOJKNIC_00001 3457 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -2955G>T None
M0083773 DNOJKNIC_00001 3477 3 Skin 0.30 protein_coding upstream_gene_variant MODIFIER -2975A>C None
M0083774 DNOJKNIC_00005 3071 3 Skin 0.30 protein_coding synonymous_variant LOW 396C>T Asp132Asp






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







        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






        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






        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





        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