Annotation Categories of the Plasmid Cluster







Summary of the plasmid cluster

Basic Information about the Plasmid Cluster

  Cluster Information   Plasmid Cluster ID   C2965
  Reference Plasmid   DS1912041108-1_bin.5__k141_36622
  Reference Plasmid Size   25313
  Reference Plasmid GC Content   0.69
  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
M0068654 DAOKHAKB_00017 21514 3 Skin 0.19 protein_coding synonymous_variant LOW 177T>C Ala59Ala
M0068655 DAOKHAKB_00017 21902 5 Skin 0.31 protein_coding missense_variant MODERATE 565A>G Ser189Gly
M0068656 DAOKHAKB_00018 22823 5 Skin 0.31 protein_coding synonymous_variant LOW 424C>T Leu142Leu
M0068657 DAOKHAKB_00019 23464 3 Skin 0.19 protein_coding missense_variant MODERATE 121C>T Pro41Ser
M0068658 DAOKHAKB_00019 23538 5 Skin 0.31 protein_coding synonymous_variant LOW 195T>C Ile65Ile
M0068659 DAOKHAKB_00020 24660 3 Skin 0.19 protein_coding missense_variant MODERATE 481C>G Pro161Ala
M0068660 DAOKHAKB_00020 24665 3 Skin 0.19 protein_coding synonymous_variant LOW 486A>G Gly162Gly
M0068661 DAOKHAKB_00020 24969 6 Skin 0.38 protein_coding missense_variant MODERATE 790C>A Arg264Ser
M0068662 DAOKHAKB_00020 25166 4 Skin 0.25 protein_coding synonymous_variant LOW 987A>C Ala329Ala
M0068663 DAOKHAKB_00014 16706 4 Skin 0.25 protein_coding synonymous_variant LOW 1779T>C Asp593Asp
M0068664 DAOKHAKB_00014 16709 4 Skin 0.25 protein_coding synonymous_variant LOW 1776G>C Ala592Ala
M0068665 DAOKHAKB_00014 16722 4 Skin 0.25 protein_coding missense_variant MODERATE 1763G>C Arg588Pro
M0068666 DAOKHAKB_00014 17129 3 Skin 0.19 protein_coding synonymous_variant LOW 1356C>G Ala452Ala
M0068667 DAOKHAKB_00014 17893 5 Skin 0.31 protein_coding missense_variant MODERATE 592G>A Ala198Thr
M0068668 DAOKHAKB_00014 18026 6 Skin 0.38 protein_coding synonymous_variant LOW 459T>C Arg153Arg
M0068669 DAOKHAKB_00011 18524 4 Skin 0.25 protein_coding upstream_gene_variant MODIFIER -4209G>A None
M0068670 DAOKHAKB_00015 19141 3 Skin 0.19 protein_coding synonymous_variant LOW 438T>C Asp146Asp
M0068671 DAOKHAKB_00016 20369 3 Skin 0.19 protein_coding synonymous_variant LOW 612C>G Arg204Arg
M0068672 DAOKHAKB_00016 20854 3 Skin 0.19 protein_coding missense_variant MODERATE 1097T>C Met366Thr
M0068673 DAOKHAKB_00018 23137 4 Skin 0.25 protein_coding synonymous_variant LOW 738A>C Gly246Gly
M0068674 DAOKHAKB_00012 15475 3 Skin 0.19 protein_coding missense_variant MODERATE 74T>C Val25Ala
M0068675 DAOKHAKB_00013 15914 3 Skin 0.19 protein_coding synonymous_variant LOW 606G>C Gly202Gly
M0068676 DAOKHAKB_00013 15950 3 Skin 0.19 protein_coding synonymous_variant LOW 570C>T Phe190Phe
M0068677 DAOKHAKB_00011 16548 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -2233G>A None
M0068678 DAOKHAKB_00011 16574 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -2259C>T None
M0068679 DAOKHAKB_00014 17807 3 Skin 0.19 protein_coding synonymous_variant LOW 678C>G Ala226Ala
M0068680 DAOKHAKB_00014 17822 3 Skin 0.19 protein_coding synonymous_variant LOW 663C>T Asp221Asp
M0068681 DAOKHAKB_00016 19783 3 Skin 0.19 protein_coding missense_variant MODERATE 26T>C Leu9Pro
M0068682 DAOKHAKB_00016 19802 3 Skin 0.19 protein_coding synonymous_variant LOW 45A>T Pro15Pro
M0068683 DAOKHAKB_00002 1769 3 Skin 0.19 protein_coding synonymous_variant LOW 549G>A Lys183Lys
M0068684 DAOKHAKB_00002 2617 3 Skin 0.19 protein_coding missense_variant MODERATE 1397C>T Ala466Val
M0068685 DAOKHAKB_00003 4273 3 Skin 0.19 protein_coding synonymous_variant LOW 1335T>C Ala445Ala
M0068686 DAOKHAKB_00003 5795 3 Skin 0.19 protein_coding synonymous_variant LOW 2857C>T Leu953Leu
M0068687 DAOKHAKB_00004 5831 3 Skin 0.19 protein_coding upstream_gene_variant MODIFIER -30A>C None
M0068688 DAOKHAKB_00004 5890 3 Skin 0.19 protein_coding synonymous_variant LOW 30C>T Pro10Pro
M0068689 DAOKHAKB_00005 7219 5 Skin 0.31 protein_coding missense_variant MODERATE 308C>A Ala103Asp
M0068690 DAOKHAKB_00005 7241 3 Skin 0.19 protein_coding synonymous_variant LOW 330G>C Gly110Gly
M0068691 DAOKHAKB_00005 7242 3 Skin 0.19 protein_coding missense_variant MODERATE 331G>A Val111Ile
M0068692 DAOKHAKB_00005 7243 3 Skin 0.19 protein_coding missense_variant MODERATE 332T>C Val111Ala
M0068693 DAOKHAKB_00005 7244 3 Skin 0.19 protein_coding synonymous_variant LOW 333A>G Val111Val
M0068694 DAOKHAKB_00019 23582 3 Skin 0.19 protein_coding missense_variant MODERATE 239A>G Asp80Gly
M0068695 DAOKHAKB_00019 23605 4 Skin 0.25 protein_coding missense_variant MODERATE 262C>A Leu88Met
M0068696 DAOKHAKB_00019 23616 4 Skin 0.25 protein_coding synonymous_variant LOW 273C>T Tyr91Tyr
M0068697 DAOKHAKB_00020 24200 3 Skin 0.19 protein_coding synonymous_variant LOW 21A>C Ala7Ala
M0068698 DAOKHAKB_00005 8018 3 Skin 0.19 protein_coding missense_variant MODERATE 1107G>T Glu369Asp
M0068699 DAOKHAKB_00006 8199 3 Skin 0.19 protein_coding synonymous_variant LOW 141C>T Asn47Asn
M0068700 DAOKHAKB_00006 9000 4 Skin 0.25 protein_coding synonymous_variant LOW 942A>G Val314Val
M0068701 DAOKHAKB_00006 9024 4 Skin 0.25 protein_coding synonymous_variant LOW 966C>G Pro322Pro
M0068702 DAOKHAKB_00008 10261 3 Skin 0.19 protein_coding synonymous_variant LOW 291C>G Thr97Thr
M0068703 DAOKHAKB_00008 10264 3 Skin 0.19 protein_coding synonymous_variant LOW 294C>G Leu98Leu
M0068704 DAOKHAKB_00018 23032 3 Skin 0.19 protein_coding synonymous_variant LOW 633A>G Val211Val
M0068705 DAOKHAKB_00014 18308 3 Skin 0.19 protein_coding missense_variant MODERATE 177C>A Asp59Glu
M0068706 DAOKHAKB_00016 25227 3 Skin 0.19 protein_coding downstream_gene_variant MODIFIER *3919A>T 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
DAOKHAKB_00002 BDE72405.1|GT0 99.8 0 1 573 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