Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2666
  Reference Plasmid   1111525849859858_bin.38__k141_129321
  Reference Plasmid Size   69514
  Reference Plasmid GC Content   0.54
  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
M0052649 DHNEPCKH_00025 41895 16 Skin 0.20 protein_coding upstream_gene_variant MODIFIER -4448T>A None
M0052650 DHNEPCKH_00033 45637 7 Skin 0.09 protein_coding synonymous_variant LOW 2355C>T Gly785Gly
M0052651 DHNEPCKH_00044 53336 5 Skin 0.06 protein_coding synonymous_variant LOW 495C>T Gly165Gly
M0052652 DHNEPCKH_00049 65085 5 Skin 0.06 protein_coding missense_variant MODERATE 44G>T Gly15Val
M0052653 DHNEPCKH_00016 25126 7 Skin 0.09 protein_coding missense_variant MODERATE 380A>T Gln127Leu
M0052654 DHNEPCKH_00014 22640 8 Skin 0.10 protein_coding upstream_gene_variant MODIFIER -3C>T None
M0052655 DHNEPCKH_00010 12926 15 Skin 0.18 protein_coding missense_variant MODERATE 3098A>G Asp1033Gly






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
DHNEPCKH_00020 VFG015855 Non-hemolytic phospholipase C 74.4 0 1 715 1.0 1 Exotoxin phospholipase C, phosphocholine-specific 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






        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
DHNEPCKH_00003 SMZ58515.1|GH32 89.3 0 1 469 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
DHNEPCKH_00004 4.A.1.2.1 84.9 2.2e-217 1 456 1.0000 1.0000 4 Group Translocators 4.A Phosphotransfer-driven Group Translocators (PTS) 4.A.1 The PTS Glucose-Glucoside (Glc) Family
DHNEPCKH_00014 2.A.68.1.1 70.4 2.8e-205 1 507 0.9980 0.9980 2 Electrochemical Potential-driven Transporters 2.A Porters (uniporters, symporters, antiporters) 2.A.68 The p-Aminobenzoyl-glutamate Transporter (AbgT) Family