[HTML][HTML] Evolution of Salmonella within hosts

JR Tanner, RA Kingsley - Trends in microbiology, 2018 - cell.com
Within-host evolution has resulted in thousands of variants of Salmonella that exhibit
remarkable diversity in host range and disease outcome, from broad host range to exquisite …

Salmonella pathogenesis and host-adaptation in farmed animals

MP Stevens, RA Kingsley - Current Opinion in Microbiology, 2021 - Elsevier
Highlights•Genomic signatures of host-adaptation and virulence of Salmonella are
emerging.•Sequence analyses can aid the prediction of zoonotic risk and source …

[HTML][HTML] Next generation microbiological risk assessment—Potential of omics data for hazard characterisation

N Haddad, N Johnson, S Kathariou, A Métris… - International journal of …, 2018 - Elsevier
Abstract According to the World Health Organization estimates in 2015, 600 million people
fall ill every year from contaminated food and 420,000 die. Microbial risk assessment (MRA) …

Antimicrobial Resistance in Nontyphoidal Salmonella Isolates from Human and Swine Sources in Brazil: A Systematic Review of the Past Three Decades

GL Rodrigues, P Panzenhagen, RG Ferrari… - Microbial Drug …, 2020 - liebertpub.com
Salmonella is the leading cause of foodborne illnesses worldwide. The widespread use of
antimicrobials as prophylactic, therapeutic, and growth promoters in both livestock and …

Exploring the predictive capability of advanced machine learning in identifying severe disease phenotype in Salmonella enterica

S Karanth, CK Tanui, J Meng, AK Pradhan - Food Research International, 2022 - Elsevier
The past few years have seen a significant increase in availability of whole genome
sequencing information, allowing for its incorporation in predictive modeling for foodborne …

Pan-genomics: Applications, challenges, and future prospects

D Barh, SC Soares, S Tiwari, VADC Azevedo - 2020 - books.google.com
Pan-genomics: Applications, Challenges, and Future Prospects covers current approaches,
challenges and future prospects of pan-genomics. The book discusses bioinformatics tools …

Computational network inference for bacterial interactomics

K James, J Muñoz-Muñoz - Msystems, 2022 - Am Soc Microbiol
Since the large-scale experimental characterization of protein–protein interactions (PPIs) is
not possible for all species, several computational PPI prediction methods have been …

The use of trade data to predict the source and spread of food safety outbreaks: An innovative mathematical modelling approach

A Garre, PS Fernandez, P Brereton, C Elliott… - Food Research …, 2019 - Elsevier
Food is traded across the global markets to satisfy consumer demands, mainly from
developed countries, for year-round access to a wide range of foods. This has resulted in an …

[HTML][HTML] Homology-based reconstruction of regulatory networks for bacterial and archaeal genomes

L Romero, S Contreras-Riquelme, M Lira… - Frontiers in …, 2022 - frontiersin.org
Gene regulation is a key process for all microorganisms, as it allows them to adapt to
different environmental stimuli. However, despite the relevance of gene expression control …

[HTML][HTML] Curation, inference, and assessment of a globally reconstructed gene regulatory network for Streptomyces coelicolor

A Zorro-Aranda, JM Escorcia-Rodríguez… - Scientific Reports, 2022 - nature.com
Abstract Streptomyces coelicolor A3 (2) is a model microorganism for the study of
Streptomycetes, antibiotic production, and secondary metabolism in general. Even though S …