Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2072
  Reference Plasmid   1111525849737518_bin.4_new__k141_68298
  Reference Plasmid Size   3273
  Reference Plasmid GC Content   0.68
  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
M0024017 JFGBPGGG_00001 301 4 Skin 0.67 protein_coding synonymous_variant LOW 252C>T Phe84Phe
M0024018 JFGBPGGG_00004 794 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -1932G>C None
M0024019 JFGBPGGG_00004 806 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -1920G>A None
M0024020 JFGBPGGG_00003 885 3 Skin 0.50 protein_coding synonymous_variant LOW 1590T>C Ser530Ser
M0024021 JFGBPGGG_00003 978 4 Skin 0.67 protein_coding synonymous_variant LOW 1497G>A Ala499Ala
M0024022 JFGBPGGG_00003 993 4 Skin 0.67 protein_coding synonymous_variant LOW 1482G>A Ala494Ala
M0024023 JFGBPGGG_00003 1038 3 Skin 0.50 protein_coding synonymous_variant LOW 1437C>G Ala479Ala
M0024024 JFGBPGGG_00003 1095 3 Skin 0.50 protein_coding synonymous_variant LOW 1380G>C Ala460Ala
M0024025 JFGBPGGG_00003 1146 4 Skin 0.67 protein_coding missense_variant MODERATE 1329T>G His443Gln
M0024026 JFGBPGGG_00003 1173 4 Skin 0.67 protein_coding synonymous_variant LOW 1302T>C Thr434Thr
M0024027 JFGBPGGG_00003 1674 4 Skin 0.67 protein_coding synonymous_variant LOW 801C>T Ser267Ser
M0024028 JFGBPGGG_00003 2601 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -127C>G None
M0024029 JFGBPGGG_00003 2603 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -129T>C None
M0024030 JFGBPGGG_00003 2607 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -133A>G None
M0024031 JFGBPGGG_00003 2665 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -191G>C None
M0024032 JFGBPGGG_00003 2684 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -210T>C None
M0024033 JFGBPGGG_00003 2685 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -211G>A None
M0024034 JFGBPGGG_00003 2707 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -233A>G None
M0024035 JFGBPGGG_00003 2708 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -234A>G None
M0024036 JFGBPGGG_00003 2718 3 Skin 0.50 protein_coding upstream_gene_variant MODIFIER -244A>C None
M0024037 JFGBPGGG_00001 232 3 Skin 0.50 protein_coding synonymous_variant LOW 183G>C Ala61Ala
M0024038 JFGBPGGG_00001 332 3 Skin 0.50 protein_coding missense_variant MODERATE 283G>T Val95Leu
M0024039 JFGBPGGG_00003 2100 4 Skin 0.67 protein_coding synonymous_variant LOW 375C>G Thr125Thr
M0024040 JFGBPGGG_00003 2103 4 Skin 0.67 protein_coding synonymous_variant LOW 372T>C Tyr124Tyr






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