The introduction of high-throughput sequencing and omics has expanded the toolkit available for lichen researchers. Genomic, transcriptomic and proteomic data from lichens can now be produced and interrogated relatively easily. Here, we discuss several areas within lichen biology, which have benefited from these methods. These include evolutionary biology of lichen symbionts, their biochemistry, and studies on lichen organismal composition. We discuss metagenomics as one of the most powerful methods to explore lichens as complex symbiotic organisms. Based on recent advances in biological methods, as well as current knowledge gaps in lichen biology, we propose several opportunities for research on the lichen symbiosis, such as studies of spatial organization of lichen thalli and a way to complement data-driven hypothesis-generating omics research with experimental approaches.

Salmonella Enteritidis is typically transmitted to humans via consumption of eggs or poultry meat. In July 2023, Denmark and Austria concurrently reported two outbreaks of genetically distinct S. Enteritidis sequence type (ST) 11. In both countries, cases were identified as part of the outbreaks using core-genome Multilocus Sequence Typing (cgMLST) between 1st of January and 1st of October, 2023. Outbreak investigations were conducted and included interviews with cases, food tracing, and, using cgMLST, comparisons of human, food, and environmental isolates. In the EU, 207 cases across 11 countries were found. Patient food histories pointed towards chicken, often sold as kebab meat. Extensive traceback investigations from affected restaurants and wholesalers in Austria and Denmark identified chicken meat produced in Poland as the vehicle of the outbreaks. Due to the death of one patient in Austria, the food safety authorities initiated more food safety controls for this food product, which led to food recalls. Recalls of specific chicken products from Poland were also conducted in Denmark. Despite national interventions and regulations targeting poultry producers, the EU remains collectively vulnerable to large-scale food contamination events originating in a single member state. Effective international and cross-sector collaboration was crucial to identifying the vehicle of these outbreaks.

The rapid expansion of omics technologies has created new opportunities to understand inter-individual variations in metabolic responses to diet. Such advances are particularly relevant for Asian populations, which exhibit distinct metabolic characteristics, including increased visceral adiposity, reduced β-cell reserves, and heightened susceptibility to type 2 diabetes at lower BMI levels, compared to Western populations. This review synthesizes the current evidence on metabolomic and genomic biomarkers associated with metabolic health in Asians and outlines the mechanistic pathways through which diet influences these biomarkers. Metabolomic signatures, such as lysophosphatidylcholines, micronutrient-derived metabolites, amino acid profiles, and oxidative stress indicators, have demonstrated strong potential for the early detection of metabolic dysfunction. In addition, carbohydrate-related markers of glycemic excursions, microbiome-derived metabolites, and diet-responsive fatty acid profiles may help capture the heterogeneity in postprandial regulation and diet responsiveness. Genetic variants enriched in Asian populations, including TMEM182- and NPC1L1-related polymorphisms, further modulate lipid metabolism, adipogenesis, and glycemic regulation. We also highlighted β-cell and nutrient-handling loci (e.g. KCNQ1, TCF7L2, SLC30A8, FUT2/6, BCMO1, and FADS1/2) as mechanistic anchors for biologically stratified dietary personalization. We discuss nutrient–metabolite interactions – particularly those involving dietary fibre and legumes – within culturally patterned Asian diets and highlight culturally consistent dietary strategies supported by multi-omics evidence. Finally, we propose a translational framework for implementing precision nutrition in Asia, emphasizing analytical standardization, clinician training, digital health integration, and equity considerations. Together, these insights underscore the potential of multi-omics approaches to inform individualized dietary recommendations and improve metabolic health across diverse Asian populations.

Research participants should be informed of genetic test results that could impact their health, particularly when they have expressed interest in receiving such information. Furthermore, the return of genetic test results is essential to improve trust, transparency, and health equity. However, investigators often encounter barriers in returning genetic test results to research participants. We examined genomic research at a large, research-intensive medical school and found less than 6% of protocols included plans to return results to participants. This study describes our development of protocols for returning primary and secondary genetic test results and implementation of a Genomic Return of Results (gROR) service. This arose through a collaboration with experts in community engagement, genetics, and pathology to consider consent adequacy, analytical/clinical validity, and clinical utility when returning results. The gROR service reduces investigator burden and provides participants with genetic information and guidance to address any potential health risks. Genetic results are returned by a genetic counselor at no cost to participants or their family. Investigator costs are subsidized to incentivize the delivery of actionable genetic test results to research participants. Our approach prioritizes transparency, accessibility, and informed decision-making, thereby promoting equitable sharing of genetic knowledge and personalized healthcare interventions.

Biodiversity knowledge gaps and biases persist across low-income tropical regions. Genetic data are essential for addressing these issues, supporting biodiversity research and conservation planning. To assess progress in wildlife genetic sampling within the Philippines, I evaluated the scope, representativeness, and growth of publicly available genetic data and research on endemic vertebrates from the 1990s through 2024. Results showed that 82.3% of the Philippines’ 769 endemic vertebrates have genetic data, although major disparities remain. Reptiles had the least complete coverage but exhibited the highest growth, with birds, mammals, and amphibians following in that order. Species confined to smaller biogeographic subregions, with narrow geographic ranges, or classified as threatened or lacking threat assessments were disproportionately underrepresented. Research output on reptiles increased markedly, while amphibian research lagged behind. Although the number of non-unique authors in wildlife genetics studies involving Philippine specimens has grown steeply, Filipino involvement remains low. These results highlight the uneven and non-random distribution of wildlife genetic knowledge within this global biodiversity hotspot. Moreover, the limited participation of Global South researchers underscores broader inequities in wildlife genomics. Closing these gaps and addressing biases creates a more equitable and representative genetic knowledge base and supports its integration into national conservation efforts aligned with global biodiversity commitments.

The attitudes toward genomics and precision medicine (AGPM) measure examines attitudes toward activities such as genetic testing, gene editing, and biobanking. This is a useful tool for research on the ethical, legal, and social implications of genomics, a major program within the National Institutes of Health. We updated the AGPM to explore controversies over mRNA vaccines. This brief report examines the factor structure of the updated AGPM using a sample of 4939 adults in the USA. The updated AGPM’s seven factors include health benefits, knowledge benefits, and concerns about the sacredness of life, privacy, gene editing, mRNA vaccines, and social justice.

Despite the blaze of advancing knowledge on its complex genetic architecture, hypertension remains an elusive condition. Genetic studies of blood pressure have yielded bitter-sweet results thus far with the identification of more than 2,000 genetic loci, though the candidate causal genes and biological pathways remain largely unknown. The era of big data and sophisticated statistical tools has propelled insights into pathophysiology and causal inferences. However, new genetic risk tools for hypertension are the tip of the iceberg, and applications of genomic technology are likely to proliferate. We review the genomics of hypertension, exploring the significant milestones in our current understanding of this condition and the progress towards personalised treatment and management for hypertension.

Prediction and classification are two very active areas in modern data analysis. In this paper, prediction with nonlinear optimal scaling transformations of the variables is reviewed, and extended to the use of multiple additive components, much in the spirit of statistical learning techniques that are currently popular, among other areas, in data mining. Also, a classification/clustering method is described that is particularly suitable for analyzing attribute-value data from systems biology (genomics, proteomics, and metabolomics), and which is able to detect groups of objects that have similar values on small subsets of the attributes.

Group A streptococcal or Streptococcus pyogenes infections have been increasing post-COVID-19 pandemic. We describe the epidemiology of S. pyogenes pharyngitis and invasive disease in Alberta, Canada 2018–2023. Positive pharyngitis specimens were identified from throat swabs collected from pharyngitis patients. Invasive S. pyogenes was defined as the isolation of S. pyogenes from a normally sterile site or severe skin infection. S. pyogenes isolates were emm typed. Pharyngitis and invasive disease displayed seasonal trends preceding the COVID-19 pandemic followed by a sharp decrease during COVID-19 intervention measures. After the lifting of interventions, rates of pharyngitis and invasive disease rose. There were 182 983 positive pharyngitis specimens between 2018 and 2023 for a positivity rate of 17.6%. The highest rates occurred in the 0–9 age group in 2023 (41.5%). Invasive disease increased in 2022–2023 driven by emm1 and 12 types. M1UK strain was the most frequent M1 type associated with invasive disease (59% of M1 isolates sequenced). Notably, out of 182 983 pharyngitis cases, there were 111 cases of invasive S. pyogenes detected for an invasive disease rate of 0.06%. This descriptive epidemiology of S. pyogenes pharyngitis and invasive S. pyogenes disease highlights the rapid increase in cases of S. pyogenes occurring in western Canada and illustrates the critical need for a vaccine.

Elevated levels of IL-6 in plasma are associated with the severity of visceral leishmaniasis (VL). The clinical manifestations of VL vary among patients, influenced by host factors and the virulence of the Leishmania infantum parasite. Considering that severe VL may result from an exaggerated inflammatory response, this study investigated whether IL-6 could serve as a biomarker to identify pro-inflammatory virulence factors. We conducted a genome-wide association study (GWAS) analysis on L. infantum isolates from patients with VL, whose IL-6 concentrations were measured. The analysis revealed that the relationship between IL-6 levels and clinical outcomes (survival vs mortality) had an area under the curve (AUC) of 0.67 (95% CI 0.52–0.81). A cut-off of 391.7 pg mL−1 for IL-6 was established to conduct a logistic regression analysis. We identified 10 029 single nucleotide variants (SNVs) across 62 genomes, resulting in 6,948 SNVs after filtering, of which 6,341 are located in protein-coding regions. The association analysis with PLINK identified 722 variants, of which 35 showed significant associations, with odds ratios ≥3.3, primarily in coding regions. These findings demonstrate that IL-6 levels tended to be associated with the fatal outcome of VL and highlight 35 novel genetic variants that could serve as potential biomarkers for prognosis. Further research into the biological role of these variants may lead to new therapeutic targets and improve the clinical management of VL, especially in identifying high-risk patients.

This guest editorial describes the importance of converging genetics and psychosocial epidemiology research methods to understand the biopsychosocial etiology of psychiatric phenotypes.