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BackgroundVariation in the human fecal microbiota has previously been associated with body mass index (BMI). Although obesity is a global health burden, the accumulation of abdominal visceral fat is the specific cardio-metabolic disease risk factor. Here, we explore links between the fecal microbiota and abdominal adiposity using body composition as measured by dual-energy X-ray absorptiometry in a large sample of twins from the TwinsUK cohort, comparing fecal 16S rRNA diversity profiles with six adiposity measures.ResultsWe profile six adiposity measures in 3666 twins and estimate their heritability, finding novel evidence for strong genetic effects underlying visceral fat and android/gynoid ratio. We confirm the association of lower diversity of the fecal microbiome with obesity and adiposity measures, and then compare the association between fecal microbial composition and the adiposity phenotypes in a discovery subsample of twins. We identify associations between the relative abundances of fecal microbial operational taxonomic units (OTUs) and abdominal adiposity measures. Most of these results involve visceral fat associations, with the strongest associations between visceral fat and Oscillospira members. Using BMI as a surrogate phenotype, we pursue replication in independent samples from three population-based cohorts including American Gut, Flemish Gut Flora Project and the extended TwinsUK cohort. Meta-analyses across the replication samples indicate that 8 OTUs replicate at a stringent threshold across all cohorts, while 49 OTUs achieve nominal significance in at least one replication sample. Heritability analysis of the adiposity-associated microbial OTUs prompted us to assess host genetic-microbe interactions at obesity-associated human candidate loci. We observe significant associations of adiposity-OTU abundances with host genetic variants in the FHIT, TDRG1 and ELAVL4 genes, suggesting a potential role for host genes to mediate the link between the fecal microbiome and obesity.ConclusionsOur results provide novel insights into the role of the fecal microbiota in cardio-metabolic disease with clear potential for prevention and novel therapies.

Climate is arguably one of the most important factors determining the quality of wine from any given grapevine variety. This study focuses on climate impacts on vines in the upper Douro Valley, which is one of the most important viticultural regions of northern Portugal. Two different phenomena are studied: cold air pooling and unprecedented rainfall totals. Cold-air pools can have several different impacts on viticulture, including timing of budbreak, final grape quality and yields. Cold pools were studied using high time resolution data from two weather stations located in the upper Douro valley. High rainfall during late spring (April to June) can promote growth of the vines but increases the risk of fungal disease. High rainfall during harvest time (August to October) also bears the potential for severe operational disruption and heavy economic losses. The probability of unprecedented rainfall totals in spring and the harvest season over wine-growing regions of northern Portugal has been assessed using an ensemble of decadal hindcasts and three different gridded precipitation datasets. The probability of a precipitation event with unprecedented totals was low (less than 0.04), although such an event would be highly damaging to the vines. A year similar to 1993, when both seasons were exceptionally wet, would be expected to occur, on average, just once in the next 70-80 years in the current climate.

One of the most frequent, most expensive and potentially more impactful tasks in crop management is surveying and scouting the fields for problems in crop development. Any biotic / abiotic stress undetected becomes a bigger problem to solve later, with a potentially cascading effect on yield and/or quality and, subsequently, crop value. For annual crops (such as corn, soy, etc.) this can be solved in a cost-effective way with Sentinel data. For permanent crops planted in rows (such as vineyards), the interference from the inter-row makes it much more challenging. Under a contract for the European Space Agency (ESA), Spin.Works has been developing an early anomaly detection system based on fusion of Sentinel-2 and UAV imagery, targeting an update rate of 5 days. The early anomaly detection is applied to vineyards, particularly, for nutrient and water stresses. The early anomaly detection system is integrated into Spin.Works’ MAPP.it platform and its development is being carried out in close cooperation with the internal R&D group of Sogrape Vinhos, Portugal's largest winemaker and a long-standing MAPP.it user.

Microbiome community typing analyses have recently identified the Bacteroides2 (Bact2) enterotype, an intestinal microbiota configuration that is associated with systemic inflammation and has a high prevalence in loose stools in humans.sup.1,2. Bact2 is characterized by a high proportion of Bacteroides, a low proportion of Faecalibacterium and low microbial cell densities.sup.1,2, and its prevalence varies from 13% in a general population cohort to as high as 78% in patients with inflammatory bowel disease.sup.2. Reported changes in stool consistency.sup.3 and inflammation status.sup.4 during the progression towards obesity and metabolic comorbidities led us to propose that these developments might similarly correlate with an increased prevalence of the potentially dysbiotic Bact2 enterotype. Here, by exploring obesity-associated microbiota alterations in the quantitative faecal metagenomes of the cross-sectional MetaCardis Body Mass Index Spectrum cohort (n = 888), we identify statin therapy as a key covariate of microbiome diversification. By focusing on a subcohort of participants that are not medicated with statins, we find that the prevalence of Bact2 correlates with body mass index, increasing from 3.90% in lean or overweight participants to 17.73% in obese participants. Systemic inflammation levels in Bact2-enterotyped individuals are higher than predicted on the basis of their obesity status, indicative of Bact2 as a dysbiotic microbiome constellation. We also observe that obesity-associated microbiota dysbiosis is negatively associated with statin treatment, resulting in a lower Bact2 prevalence of 5.88% in statin-medicated obese participants. This finding is validated in both the accompanying MetaCardis cardiovascular disease dataset (n = 282) and the independent Flemish Gut Flora Project population cohort (n = 2,345). The potential benefits of statins in this context will require further evaluation in a prospective clinical trial to ascertain whether the effect is reproducible in a randomized population and before considering their application as microbiota-modulating therapeutics. A cross-sectional analysis of participants in the MetaCardis Body Mass Index Spectrum cohort finds that the higher prevalence of gut microbiota dysbiosis in individuals with obesity is not observed in those who take statin drugs., Author(s): Sara Vieira-Silva [sup.1] [sup.2] , Gwen Falony [sup.1] [sup.2] , Eugeni Belda [sup.3] [sup.4] , Trine Nielsen [sup.5] , Judith Aron-Wisnewsky [sup.3] [sup.6] , Rima Chakaroun [sup.7] , Sofia [...]

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In Africa, the prevalence of disease caused by Aedes mosquito-borne virus infections might be similar to that in the Americas (1,2). However, the transmission and genetic diversity of arthropodborne viruses [...]