Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C1011
  Reference Plasmid   NZ_CP093544.1
  Reference Plasmid Size   2675
  Reference Plasmid GC Content   0.28
  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
M0106621 GDHFKHHO_00001 611 3 Skin 1.00 protein_coding synonymous_variant LOW 528A>T Val176Val
M0106622 GDHFKHHO_00001 623 3 Skin 1.00 protein_coding synonymous_variant LOW 540G>A Leu180Leu
M0106623 GDHFKHHO_00001 632 3 Skin 1.00 protein_coding synonymous_variant LOW 549T>C Asp183Asp
M0106624 GDHFKHHO_00001 722 3 Skin 1.00 protein_coding synonymous_variant LOW 639C>T Asn213Asn
M0106625 GDHFKHHO_00001 747 3 Skin 1.00 protein_coding missense_variant MODERATE 664C>A Leu222Ile
M0106626 GDHFKHHO_00001 771 3 Skin 1.00 protein_coding missense_variant MODERATE 688A>G Lys230Glu
M0106627 GDHFKHHO_00001 774 3 Skin 1.00 protein_coding missense_variant MODERATE 691A>C Lys231Gln
M0106628 GDHFKHHO_00001 782 3 Skin 1.00 protein_coding synonymous_variant LOW 699T>C Ile233Ile
M0106629 GDHFKHHO_00001 813 3 Skin 1.00 protein_coding missense_variant MODERATE 730A>G Lys244Glu
M0106630 GDHFKHHO_00002 849 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -834A>G None
M0106631 GDHFKHHO_00002 874 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -809T>C None
M0106632 GDHFKHHO_00002 883 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -800T>C None
M0106633 GDHFKHHO_00002 896 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -787G>A None
M0106634 GDHFKHHO_00002 904 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -779G>A None
M0106635 GDHFKHHO_00002 998 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -685G>A None
M0106636 GDHFKHHO_00002 1062 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -621T>C None
M0106637 GDHFKHHO_00002 1085 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -598T>C None
M0106638 GDHFKHHO_00002 1175 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -508G>A None
M0106639 GDHFKHHO_00002 1322 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -361A>G None
M0106640 GDHFKHHO_00002 1352 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -331T>C None
M0106641 GDHFKHHO_00002 1389 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -294A>G None
M0106642 GDHFKHHO_00002 1403 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -280T>C None
M0106643 GDHFKHHO_00002 1414 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -269C>G None
M0106644 GDHFKHHO_00002 1495 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -188G>A None
M0106645 GDHFKHHO_00002 1507 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -176T>C None
M0106646 GDHFKHHO_00002 1510 3 Skin 1.00 protein_coding upstream_gene_variant MODIFIER -173A>C 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







        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