| Literature DB >> 35209955 |
Stefan Niemann1,2, Jan Rupp3,4, Matthias Merker5,6,7, Margo Diricks1,2, Thomas A Kohl1,2, Nadja Käding3,4, Vladislav Leshchinskiy3, Susanne Hauswaldt3, Omar Jiménez Vázquez1, Christian Utpatel1,2.
Abstract
Entities:
Year: 2022 PMID: 35209955 PMCID: PMC8867676 DOI: 10.1186/s13073-022-01028-8
Source DB: PubMed Journal: Genome Med ISSN: 1756-994X Impact factor: 11.117
Fig. 2Decision algorithm to classify human-related strains of Haemophilus spp. based on whole genome sequencing data. The number next to the arrow specifies the minimum number of marker genes that needs to be detected before a (sub) species tag is attributed to the strain
Fig. 3Phylogeny of 262 clinical Haemophilus spp. isolates from a German cohort. The phylogenetic tree is based on the alignment of 104 core genes (present in at least 90% of the strains). A Kraken2 read classification output. The length of a bar is proportional to the percentage of reads that are assigned to the respective taxon (as indicated by the color). One H. influenzae culture (located in the phylogenetic tree in the “fuzzy” clade) was likely contaminated with a Streptococcus sp. strain (19% of the reads assigned to this species) and another one with an Aggregatibacter sp. strain (52% reads assigned to this species). B Presence/absence of marker genes included in our new taxonomic classification database. C Final classification output of the decision algorithm. Mixed colors represent the presence of multiple full marker patterns, indicating multiple distinct Haemophilus species. D Presence/absence of antibiotic resistance genes included in a public resistance database. Color codes correlate to the antibiotic class to which the gene confers resistance: aminoglycosides (Agly), β-lactam antibiotics (Bla), phenicols (Phe), trimethoprim (Tmt), macrolide-lincosamide-streptogramin (MLS), sulfonamides (Sul), and tetracyclines (Tet)