Common proanthocyanidin-rich foods modulate gastrointestinal blooms of Akkermansia muciniphila in a diet-dependent manner

Developing methods to modulate growth of the mucin-degrading gut bacterium Akkermansia muciniphila could benefit patients with different health needs, as A. muciniphila has been associated with both positive metabolic health outcomes and detrimental neurodegenerative outcomes. Growth of A. muciniphila is sensitive to plant-derived polyphenols, and particularly proanthocyanidins (PACs), when administered in isolated form at supraphysiological doses. However, it remains unclear whether doses sufficient for these effects are achievable via diet. Here, we explore the extent to which nutritionally relevant doses of common polyphenol-rich foods - berries, wine, and coffee - influence A. muciniphila abundance in C57BL/6J mice under varying dietary conditions. By administering polyphenol-rich whole foods, comparing polyphenol-depleted and PAC-rich versus PAC-poor food supplements, and through gradient PAC-dosing experiments, we show that PAC-rich foods uniquely induce A. muciniphila growth at doses that are feasibly achieved through routine diet. Notably, the effects of PAC supplementation were detected against a high-fat diet but not a low-fat control diet background, highlighting the importance of habitual diet strategies in either amplifying or mitigating the prebiotic effects of PAC-rich food consumption. Ultimately, our work suggests that both PACs and diet influence A. muciniphila abundance with downstream impacts for human health.

Mozambique’s mega-dam plans may face obstacles

Significance The 1,500-megawatt project could have a major impact on energy supply within Mozambique and the wider region. However, the government may face multiple challenges in getting the project off the ground. Impacts Downstream impacts on the ecosystem would affect hundreds of thousands of people. Displacement and disputes over compensation could worsen the security situation. Established long-term critics, such as Justica Ambiental and International Rivers, will raise awareness of the project’s negative impacts.

Local Land-Atmosphere Interaction: Exploring the Terrestrial Leg with “Little Omega”

<p>Land-atmosphere coupling involves the interaction between the land-surface and the overlying atmospheric boundary layer, with effects on and by the free atmosphere above, and then with associated downstream impacts on clouds, convection and precipitation. We focus on the "terrestrial leg" of land-atmosphere coupling, that is, the near-surface land-atmosphere interaction where changing soil moisture affects the surface evapotranspiration. (The "atmospheric leg" of land-atmosphere coupling involves changes in surface fluxes and the effects on the atmospheric boundary layer, with those downstream impacts.) The change in surface evapotranspiration, or evaporative fraction, with changing soil moisture is an indicator of the strength of coupling between the soil/surface and the near-surface atmosphere, where for strong coupling, a given change in soil moisture yields a large change in the evaporative fraction, and for weak coupling, a given change in soil moisture yields a small change in the evaporative fraction. The strength of coupling depends on a number of different conditions and processes, i.e. the nature of the surface-layer turbulence, to what degree the surface is vegetated and by what type of vegetation, what the soil texture is, and how plant transpiration and soil hydraulic and soil thermal processes change with changing soil moisture. We examine this terrestrial leg of land-atmosphere coupling with an analytical development using the Penman-Monteith equation, then evaluate several years of fluxnet data sets from multiple sites to characterize these interactions on the local scale, contrasting different landscapes, e.g. grasslands versus forests, and other surface types. Initial findings show stronger coupling over forests. </p>

Cloud-Native Repositories for Big Scientific Data

Scientific data has traditionally been distributed via downloads from data server to local computer. This way of working suffers from limitations as scientific datasets grow towards the petabyte scale. A “cloud-native data repository,” as defined in this paper, offers several advantages over traditional data repositories—performance, reliability, cost-effectiveness, collaboration, reproducibility, creativity, downstream impacts, and access & inclusion. These objectives motivate a set of best practices for cloud-native data repositories: analysis-ready data, cloud-optimized (ARCO) formats, and loose coupling with data-proximate computing. The Pangeo Project has developed a prototype implementation of these principles by using open-source scientific Python tools. By providing an ARCO data catalog together with on-demand, scalable distributed computing, Pangeo enables users to process big data at rates exceeding 10 GB/s. Several challenges must be resolved in order to realize cloud computing’s full potential for scientific research, such as organizing funding, training users, and enforcing data privacy requirements.