Background Sequencing of 16S rRNA genes has become a powerful technique to study microbial communities and their responses towards changing environmental conditions in various ecosystems. Several tools have been developed for the prediction of functional profiles from 16S rRNA gene sequencing data, because numerous questions in ecosystem ecology require knowledge of community functions in addition to taxonomic composition. However, the accuracy of these tools relies on functional information derived from genomes available in public databases, which are often not representative of the microorganisms present in the studied ecosystem. In addition, there is also a lack of tools to predict functional gene redundancy in microbial communities. Results To address these challenges, we developed Tax4Fun2, an R package for the prediction of functional profiles and functional gene redundancies of prokaryotic communities from 16S rRNA gene sequences. We demonstrate that functional profiles predicted by Tax4Fun2 are highly correlated to functional profiles derived from metagenomes of the same samples. We further show that Tax4Fun2 has higher accuracies than PICRUSt and Tax4Fun. By incorporating user-defined, habitat-specific genomic information, the accuracy and robustness of predicted functional profiles is substantially enhanced. In addition, functional gene redundancies predicted with Tax4Fun2 are highly correlated to functional gene redundancies determined for simulated microbial communities. Conclusions Tax4Fun2 provides researchers with a unique tool to predict and investigate functional profiles of prokaryotic communities based on 16S rRNA gene sequencing data. It is easy-to-use, platform-independent and highly memory-efficient, thus enabling researchers without extensive bioinformatics knowledge or access to high-performance clusters to predict functional profiles. Another unique feature of Tax4Fun2 is that it allows researchers to calculate the redundancy of specific functions, which is a potentially important measure of how resilient a community will be to environmental perturbation. Tax4Fun2 is implemented in R and freely available at https://github.com/bwemheu/Tax4Fun2 .

Despite the rapid growth and uptake of the positive psychological perspective by researchers and general audiences, hype regarding the field's potential can lead to exaggerated claims, overinflated expectations, disillusionment, dismissal, and unintentional harms. To help mature the field, we propose Systems Informed Positive Psychology (SIPP), which explicitly incorporates principles and concepts from the systems sciences into positive psychology theory, methodologies, practices, and discourse to optimize human social systems and the individuals within them. We describe historical underpinnings of SIPP, outline the SIPP perspective, clarify epistemological, political, and ethical assumptions, and highlight implications for research and practice. We suggest that SIPP can generate possibilities for creating sustainable unimagined futures.

The symbiosis between bacteria and sponges has arguably the longest evolutionary history for any extant metazoan lineage, yet little is known about bacterial evolution or adaptation in this process. An example of often dominant and widespread bacterial symbionts of sponges is a clade of uncultured and uncharacterised Proteobacteria. Here we set out to characterise this group using metagenomics, in-depth phylogenetic analyses, metatranscriptomics, and fluorescence in situ hybridisation microscopy. We obtained five metagenome-assembled-genomes (MAGs) from different sponge species that, together with a previously published MAG (AqS2), comprise two families within a new gammaproteobacterial order that we named Ca. Tethybacterales. Members of this order share a heterotrophic lifestyle but vary in their predicted ability to use various carbon, nitrogen and sulfur sources, including taurine, spermidine and dimethylsulfoniopropionate. The deep branching of the Ca. Tethybacterales within the Gammaproteobacteria and their almost exclusive presence in sponges suggests they have entered a symbiosis with their host relatively early in evolutionary time and have subsequently functionally radiated. This is reflected in quite distinct lifestyles of various species of Ca. Tethybacterales, most notably their diverse morphologies, predicted substrate preferences, and localisation within the sponge tissue. This study provides new insight into the evolution of metazoan–bacteria symbiosis.

Refugees in Australia are not fully utilising the healthcare system for several reasons and this may be affecting their overall health outcomes. This qualitative systematic review examined the influence of the social determinants of health on refugees' access to healthcare services in Australia. Electronic databases were searched using terms relating to refugees, social determinants, healthcare services, barriers, enablers and Australia. Only peer-reviewed studies published in English since 2006, which focused on refugees and specifically discussed social determinants influencing refugees' access to healthcare services in Australia, were included. The studies were critically analysed using standard Critical Appraisal Skills Programme Tools. Eight studies were included in the review. Findings reveal multiple factors influence refugees' access to healthcare in Australia, and these can be conceptualised within a social-ecological model of health; that is, they operate across individual, interpersonal, environmental, organisational and policy levels. The novel finding of this review was the re-occurrence of similar influences across multiple healthcare service settings in Australia. The prevalence and re-occurring nature of the social determinants of health suggests that refugees are experiencing multilayered barriers to accessing Australian healthcare. All levels of a social-ecological model must be addressed in any attempt to break down these barriers.