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This month’s Genome Watch highlights how metagenomics could link the gut microbiota and COVID-19 disease outcomes and track emerging SARS-CoV-2 variants, with the potential to inform clinical practice and public health policy.
This month’s Genome Watch highlights the genomic traits underlying the ancestral association between endobacteria, which live inside arbuscular mycorrhizal fungi, which reside within plants.
This month’s Genome Watch examines how natural language processing and machine learning are being implemented in the hunt for new antimicrobial peptides.
This month’s Genome Watch highlights how genomic surveillance can provide important information for identifying and tracking emerging pathogens such as SARS-CoV-2.
This month’s Genome Watch article discusses the role of within-host adaptive evolution in bacterial pathogens for colonization and invasion of their human hosts.
This month’s Genome Watch highlights the unique evolutionary history, metabolic functions, and newly identified viruses and associated mobile genetic elements for the highly abundant and ubiquitous ammonia-oxidizing archaea.
This month’s Genome Watch explores the genetic variability of the anti-malaria vaccine protein and discusses its significance for an efficacious intervention.
This month’s Genome Watch highlights how next-generation sequencing technologies provide crucial information during disease outbreaks and thus inform the public health response.
This month’s Genome Watch highlights the use of metagenomics to survey urban waste waters as a proxy for studying the gut microbiota in the local population and discusses how predictive models based on this data could inform public health.
This month’s Genome Watch highlights discoveries of high variability in the genes underlying cytoplasmic incompatibility among Wolbachia strains that help identify the best strains to use for the control of vector-borne diseases such as Zika virus and malaria.
This month’s Genome Watch discusses how a better understanding of the genetic mechanisms of antimalarial drug resistance can maximize the utility of genomic surveillance programs in informing the most effective drug policy.
This month's Genome Watch highlights how a better understanding of genotype–phenotype correlation may lead to the design of new diagnostic tests for antimicrobial resistance in clinical settings.