While rapid progress has been made to characterize the bacterial and archaeal populations of the rumen microbiome, insight into how they interact with keystone protozoal species remains elusive. Here, we reveal two distinct system-wide rumen community type ...
Wastewater resulting from human activities must be treated to minimize the impact on the receiving ecosystems. One of such potential impacts in lakes and other water bodies is eutrophication, an excessive increase in their nitrogen and phosphorus content. ...
Infancy is a key period for bone growth, determining bone strength later in life. Studies have provided early insights into the role that human milk oligosaccharides (HMOs) may play in growth, potentially through their effects on the microbiome. However, f ...
Cultural-based methods of bacteria and fungi and molecular identification of bacteria were combined with parallel continuous measurements of aerosol chemical composition, number size distribution, ice-nucleating concentration, and fluorescent particle size ...
Nori is a component of the traditional Japanese diet. The Japanese have a low prevalence of obesity and cardiovascular disease worldwide, and components of nori may have disease-preventive effects. Here, we focused on porphyran, which is abundant in nori t ...
Patterns in nature arise from processes interacting across a continuum of spatial scales, where new relationships emerge at each level of investigation. These patterns are nested features encompassing fine-scale local patterns, such as topography and geolo ...
Host–gut microbiota interactions are more complex than good or bad. Both gut symbiotic bacteria and pathobionts can provide essential functions to their host in one scenario and yet be detrimental to host health in another. So, these gut-dwelling bacteria ...
BackgroundPermafrost microbiomes are of paramount importance for the biogeochemistry of high latitude soils and while endemic biosynthetic domain sequences involved in secondary metabolism have been found in polar surface soils, the biosynthetic potential ...
In this paper, we study sampling from a posterior derived from a neural network. We propose a new probabilistic model consisting of adding noise at every pre- and post-activation in the network, arguing that the resulting posterior can be sampled using an ...
