TY  - JOUR
A1  - Remmele, Christian W.
A1  - Luther, Christian H.
A1  - Balkenhol, Johannes
A1  - Dandekar, Thomas
A1  - Müller, Tobias
A1  - Dittrich, Marcus T.
T1  - Integrated inference and evaluation of host-fungi interaction networks
JF  - Frontiers in Microbiology
N2  - Fungal microorganisms frequently lead to life-threatening infections. Within this group of pathogens, the commensal Candida albicans and the filamentous fungus Aspergillus fumigatus are by far the most important causes of invasive mycoses in Europe. A key capability for host invasion and immune response evasion are specific molecular interactions between the fungal pathogen and its human host. Experimentally validated knowledge about these crucial interactions is rare in literature and even specialized host pathogen databases mainly focus on bacterial and viral interactions whereas information on fungi is still sparse. To establish large-scale host fungi interaction networks on a systems biology scale, we develop an extended inference approach based on protein orthology and data on gene functions. Using human and yeast intraspecies networks as template, we derive a large network of pathogen host interactions (PHI). Rigorous filtering and refinement steps based on cellular localization and pathogenicity information of predicted interactors yield a primary scaffold of fungi human and fungi mouse interaction networks. Specific enrichment of known pathogenicity-relevant genes indicates the biological relevance of the predicted PHI. A detailed inspection of functionally relevant subnetworks reveals novel host fungal interaction candidates such as the Candida virulence factor PLB1 and the anti-fungal host protein APP. Our results demonstrate the applicability of interolog-based prediction methods for host fungi interactions and underline the importance of filtering and refinement steps to attain biologically more relevant interactions. This integrated network framework can serve as a basis for future analyses of high-throughput host fungi transcriptome and proteome data.
KW  - candida genome database
KW  - computational prediction
KW  - potential role
KW  - network inference
KW  - bioinformatics and computational biology
KW  - protein interaction database
KW  - Aspergillus fumigatus
KW  - cell wall
KW  - functional modules
KW  - alzheimers disease
KW  - molecular cloning
KW  - Candida albicans
KW  - pathogen-host interaction (PHI)
KW  - protein-protein interaction
KW  - pathogenicity
KW  - interolog
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-148278
VL  - 6
IS  - 764
ER  - 
TY  - JOUR
A1  - Okoro, Chinyere K.
A1  - Barquist, Lars
A1  - Connor, Thomas R.
A1  - Harris, Simon R.
A1  - Clare, Simon
A1  - Stevens, Mark P.
A1  - Arends, Mark J.
A1  - Hale, Christine
A1  - Kane, Leanne
A1  - Pickard, Derek J.
A1  - Hill, Jennifer
A1  - Harcourt, Katherine
A1  - Parkhill, Julian
A1  - Dougan, Gordon
A1  - Kingsley, Robert A.
T1  - Signatures of adaptation in human invasive Salmonella Typhimurium ST313 populations from sub-Saharan Africa
JF  - PLoS Neglected Tropical Diseases
N2  - Two lineages of Salmonella enterica serovar Typhimurium (S. Typhimurium) of multi-locus sequence type ST313 have been linked with the emergence of invasive Salmonella disease across sub-Saharan Africa. The expansion of these lineages has a temporal association with the HIV pandemic and antibiotic usage. We analysed the whole genome sequence of 129 ST313 isolates representative of the two lineages and found evidence of lineage-specific genome degradation, with some similarities to that observed in S. Typhi. Individual ST313 S. Typhimurium isolates exhibit a distinct metabolic signature and modified enteropathogenesis in both a murine and cattle model of colitis, compared to S. Typhimurium outside of the ST313 lineages. These data define phenotypes that distinguish ST313 isolates from other S. Typhimurium and may represent adaptation to a distinct pathogenesis and lifestyle linked to an-immuno-compromised human population.
KW  - genome sequence
KW  - infection
KW  - pathogenicity
KW  - children
KW  - disease
KW  - adults
KW  - identification
KW  - Escherichia coli
KW  - virulence
Y1  - 2015
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-143779
VL  - 9
IS  - 3
ER  -