These interactive visualisations allow to explore supplementary data from the article.

Contact the authors for more information:
• Jakub Czarnecki: jakub.czarnecki@thl.fi
• Martial Marbouty: martial.marbouty@pasteur.fr
• Didier Mazel: didier.mazel@pasteur.fr
• Marie-Eve Val: marie-eve.kennedy-val@pasteur.fr

Sequence files

Sequences of the strains used in MFA and Hi-C (one file per replicon) as plain text (.txt).

• Allorhizobium_ampelinum_S4_Chr1.txt
• Allorhizobium_ampelinum_S4_Chr2.txt
• Allorhizobium_ampelinum_S4_pAtS4E.txt
• Brucella_anthropi_ATCC_49188_Chr1.txt
• Brucella_anthropi_ATCC_49188_Chr2.txt
• Burkholderia_cenocepacia_J2315_Chr1.txt
• Burkholderia_cenocepacia_J2315_Chr2.txt
• Burkholderia_cenocepacia_J2315_Chr3.txt
• Burkholderia_cepacia_ATCC_25416_Chr1.txt
• Burkholderia_cepacia_ATCC_25416_Chr2.txt
• Burkholderia_cepacia_ATCC_25416_Chr3.txt
• Cereibacter_sphaeroides_2_4_1_Chr1.txt
• Cereibacter_sphaeroides_2_4_1_Chr2.txt
• Cupriavidus_necator_N-1_Chr1.txt
• Cupriavidus_necator_N-1_Chr2.txt
• Cupriavidus_necator_N-1_pB81.txt
• Deinococcus_radiodurans_R1_Chr1.txt
• Deinococcus_radiodurans_R1_Chr2.txt
• Leptospira_biflexa_Patoc_1_Chr1.txt
• Leptospira_biflexa_Patoc_1_Chr2.txt
• Paracoccus_aminophilus_JCM7686_Chr.txt
• Paracoccus_aminophilus_JCM7686_pAM14.txt
• Paracoccus_aminovorans_JCM7685_Chr.txt
• Paracoccus_aminovorans_JCM7685_pAMV3.txt
• Paracoccus_denitrificans_Pd1222_Chr1.txt
• Paracoccus_denitrificans_Pd1222_Chr2.txt
• Paracoccus_denitrificans_Pd1222_pDen1.txt
• Paracoccus_denitrificans_Pd1222_PL1.txt
• Pseudoalteromonas_translucida_TAC125_Chr1.txt
• Pseudoalteromonas_translucida_TAC125_Chr2.txt
• Sinorhizobium_meliloti_1021_Chr.txt
• Sinorhizobium_meliloti_1021_Chr1.txt
• Sinorhizobium_meliloti_1021_pSymA.txt
• Sinorhizobium_meliloti_1021_pSymB.txt
• Vibrio_cholerae_N16961_Chr1.txt
• Vibrio_cholerae_N16961_Chr2.txt

ER distribution on a reference tree of bacteria

In complementary to Figure 3, ER distributions are displayed on semi-circular and circular trees at the family and genus levels.

Percentage of genomes with ERs: for each genome, we identified the largest ER and assigned it to a chromosome-normalized size category using 5%chr bins (e.g. 0–5%, 5–10%, …). Each genome therefore contributes to exactly one bin, defined solely by the size of its largest ER. For each genus, we then calculated the percentage of genomes occupying each size bin.

Interactive visualizations

• % genomes with ERs per family (semi-circular representation)
• % genomes with ERs per family (circular representation)
• % genomes with ERs per genus (semi-circular representation)
• % genomes with ERs per genus (circular representation)

Together, these visualizations allow direct assessment of how absolute versus chromosome-normalized metrics shape the apparent structure of ER diversity in feature space.