Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2852
  Reference Plasmid   DP1807004434_bin.11__NODE_498_length_5886_cov_0.420079
  Reference Plasmid Size   5886
  Reference Plasmid GC Content   0.61
  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
M0064331 MIJANAFG_00001 806 3 Skin 0.19 protein_coding synonymous_variant LOW 1041T>C Asp347Asp
M0064332 MIJANAFG_00001 827 3 Skin 0.19 protein_coding synonymous_variant LOW 1020C>T Tyr340Tyr
M0064333 MIJANAFG_00001 850 3 Skin 0.19 protein_coding synonymous_variant LOW 997C>T Leu333Leu
M0064334 MIJANAFG_00001 869 3 Skin 0.19 protein_coding synonymous_variant LOW 978A>G Arg326Arg
M0064335 MIJANAFG_00001 871 3 Skin 0.19 protein_coding synonymous_variant LOW 976C>A Arg326Arg
M0064336 MIJANAFG_00001 872 3 Skin 0.19 protein_coding synonymous_variant LOW 975T>A Ala325Ala
M0064337 MIJANAFG_00001 893 3 Skin 0.19 protein_coding synonymous_variant LOW 954G>A Thr318Thr
M0064338 MIJANAFG_00001 899 3 Skin 0.19 protein_coding synonymous_variant LOW 948T>C Gly316Gly
M0064339 MIJANAFG_00001 902 3 Skin 0.19 protein_coding synonymous_variant LOW 945G>A Ala315Ala
M0064340 MIJANAFG_00001 905 3 Skin 0.19 protein_coding synonymous_variant LOW 942C>T Pro314Pro
M0064341 MIJANAFG_00001 1352 4 Skin 0.25 protein_coding synonymous_variant LOW 495T>G Val165Val
M0064342 MIJANAFG_00001 1355 3 Skin 0.19 protein_coding synonymous_variant LOW 492G>T Leu164Leu
M0064343 MIJANAFG_00001 1358 3 Skin 0.19 protein_coding synonymous_variant LOW 489C>T Ile163Ile
M0064344 MIJANAFG_00007 5490 3 Skin 0.19 protein_coding synonymous_variant LOW 204A>G Glu68Glu
M0064345 MIJANAFG_00001 5755 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3909G>A None
M0064346 MIJANAFG_00001 5758 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3912C>T None
M0064347 MIJANAFG_00001 5760 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3914G>C None
M0064348 MIJANAFG_00001 5761 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3915T>G None
M0064349 MIJANAFG_00001 5763 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3917G>A None
M0064350 MIJANAFG_00001 5764 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3918G>C None
M0064351 MIJANAFG_00001 5767 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3921G>C None
M0064352 MIJANAFG_00001 5769 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3923A>C None
M0064353 MIJANAFG_00001 5773 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -3927G>A None
M0064354 MIJANAFG_00006 4694 4 Skin 0.25 protein_coding missense_variant MODERATE 544G>A Ala182Thr






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