Jump to content

File:Gene-sharing network between bacterial genera.webp

Page contents not supported in other languages.
This is a file from the Wikimedia Commons
From Wikipedia, the free encyclopedia

Original file (2,047 × 1,799 pixels, file size: 191 KB, MIME type: image/webp)

Summary

Description
English: "Edges link ARGs to the genera which their contigs were taxonomically assigned to. Only flanked, non-plasmidic contigs were used. The backbone algorithm was used to compute the graph layout. Color and thickness of edges denote the number of observed taxa-gene co-occurrences. Nodes are ARGs and genera which are visualized as grey boxes and colored circles respectively. Node size denote the centrality of the individual nodes to the overall network. Smaller subgraphs were manually moved for space efficiency, so relative distances between those mean nothing." "A network graph of genus-ARG co-occurrence revealed a major separation according to high-level taxonomy (Fig. 4). See Supplementary Fig. 13 for a version with more annotation. Several proteobacterial genera (purple circles) including Klebsiella, Escherichia, Pseudomonas and were each host to many different ARGs. Some of these were shared with other Proteobacteria (on edges tying the purple cluster together), while many others were uniquely seen in their respective genera (unconnected edges extending outside the cluster)."
Date
Source https://www.nature.com/articles/s41467-022-34312-7
Author Authors of the study: Patrick Munk, Christian Brinch, Frederik Duus Møller, Thomas N. Petersen, Rene S. Hendriksen, Anne Mette Seyfarth, Jette S. Kjeldgaard, Christina Aaby Svendsen, Bram van Bunnik, Fanny Berglund, Global Sewage Surveillance Consortium, D. G. Joakim Larsson, Marion Koopmans, Mark Woolhouse & Frank M. Aarestrup

Licensing

w:en:Creative Commons
attribution
This file is licensed under the Creative Commons Attribution 4.0 International license.
You are free:
  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.

Captions

From the study "Genomic analysis of sewage from 101 countries reveals global landscape of antimicrobial resistance"

Items portrayed in this file

depicts

1 December 2022

File history

Click on a date/time to view the file as it appeared at that time.

Date/TimeThumbnailDimensionsUserComment
current12:15, 2 February 2023Thumbnail for version as of 12:15, 2 February 20232,047 × 1,799 (191 KB)PrototyperspectiveUploaded a work by Authors of the study: Patrick Munk, Christian Brinch, Frederik Duus Møller, Thomas N. Petersen, Rene S. Hendriksen, Anne Mette Seyfarth, Jette S. Kjeldgaard, Christina Aaby Svendsen, Bram van Bunnik, Fanny Berglund, Global Sewage Surveillance Consortium, D. G. Joakim Larsson, Marion Koopmans, Mark Woolhouse & Frank M. Aarestrup from https://www.nature.com/articles/s41467-022-34312-7 with UploadWizard

The following 2 pages use this file: