Selection of representative genomes for 24,706 bacterial and archaeal species clusters provide a complete genome-based taxonomy

We recently introduced the Genome Taxonomy Database (GTDB), a phylogenetically consistent, genome-based taxonomy providing rank normalized classifications for nearly 150,000 genomes from domain to genus. However, nearly 40% of the genomes used to infer the GTDB reference tree lack a species name, reflecting the large number of genomes in public repositories without complete taxonomic assignments. Here we address this limitation by proposing 24,706 species clusters which encompass all publicly available bacterial and archaeal genomes when using commonly accepted average nucleotide identity (ANI) criteria for circumscribing species. In contrast to previous ANI studies, we selected a single representative genome to serve as the nomenclatural type for circumscribing each species with type strains used where available. We complemented the 8,792 species clusters with validly or effectively published names with 15,914de novospecies clusters in order to assign placeholder names to the growing number of genomes from uncultivated species. This provides the first complete domain to species taxonomic framework which will improve communication of scientific results.

Instant coffee with steamed PVA beans: Physical-chemical and sensory aspects

ABSTRACT Around 20% of Brazilian coffee production corresponds to defective beans (PVA), which decreases the quality of the coffee brews. Steam treatment has been reported as an alternative to improve the cup quality of coffee products. This research aimed to study the feasibility of using steamed Robusta PVA beans in instant coffee products. After the steam treatment (2 bar for 3 min), the Robusta PVA was dried, roasted, subjected to extraction in a pilot plant, and freeze-dried. The steamed and untreated Robusta PVA materials (raw, roasted, and instant coffees) and blends of instant Arabica coffee with PVA were characterized. The steamed Robusta PVA instant coffee presented 7.01 g caffeine and 8.74 g total chlorogenic acids in 100 g product. Instant coffee blends with 30% and 50% of steamed Robusta PVA in Arabica coffee were studied. A sensory difference between blends with steamed and untreated Robusta PVA was only perceived by the addition of 50% PVA. The blend with 50% of steamed coffee was preferred and well accepted (average grade of 7.9 on a 10-scale). The use of steamed Robusta PVA coffee (under mild steam treatment conditions, 2 bar/3 min) in instant coffee was viable, and it was obtained an instant coffee to be used in a blend with 50% of Arabica coffee with a good profile of bioactive compounds and sensory acceptance.

The Use of Asymptotic Functions for Determining Empirical Values of CN Parameter in Selected Catchments of Variable Land Cover

The aim of the study was to assess the applicability of asymptotic functions for determining the value of CN parameter as a function of precipitation depth in mountain and upland catchments. The analyses were carried out in two catchments: the Rudawa, left tributary of the Vistula, and the Kamienica, right tributary of the Dunajec. The input material included data on precipitation and flows for a multi-year period 1980–2012, obtained from IMGW PIB in Warsaw. Two models were used to determine empirical values of CNobs parameter as a function of precipitation depth: standard Hawkins model and 2-CN model allowing for a heterogeneous nature of a catchment area. The study analyses confirmed that asymptotic functions properly described P-CNobs relationship for the entire range of precipitation variability. In the case of high rainfalls, CNobs remained above or below the commonly accepted average antecedent moisture conditions AMCII. The study calculations indicated that the runoff amount calculated according to the original SCS-CN method might be underestimated, and this could adversely affect the values of design flows required for the design of hydraulic engineering projects. In catchments with heterogeneous land cover, the results of CNobs were more accurate when 2-CN model was used instead of the standard Hawkins model. 2-CN model is more precise in accounting for differences in runoff formation depending on retention capacity of the substrate. It was also demonstrated that the commonly accepted initial abstraction coefficient λ = 0.20 yielded too big initial loss of precipitation in the analyzed catchments and, therefore, the computed direct runoff was underestimated. The best results were obtained for λ = 0.05.

Humans at tropical latitudes produce more females

Skews in the human sex ratio at birth have captivated scientists for over a century. The accepted average human natal sex ratio is slightly male biased, at 106 males per 100 females or 51.5 per cent males. Studies conducted on a localized scale show that sex ratios deviate from this average in response to a staggering number of social, economical and physiological variables. However, these patterns often prove inconsistent when expanded to other human populations, perhaps because the nature of the influences themselves exhibit substantial cultural variation. Here, data collected from 202 countries over a decade show that latitude is a primary factor influencing the ratio of males and females produced at birth; countries at tropical latitudes produced significantly fewer boys (51.1% males) annually than those at temperate and subarctic latitudes (51.3%). This pattern remained strong despite enormous continental variation in lifestyle and socio-economic status, suggesting that latitudinal variables may act as overarching cues on which sex ratio variation in humans is based.