Estrategia para conservar las poblaciones de buitres del viejo mundo utilizando el enfoque de una salud

One Health brings the powerful interrelationship between human and wildlife health together with ecosystem health. The initial concept of One Health was formulated decades ago and focused on disease transfer from wildlife to human populations. More recently, the concept has been used to associate resilience to disease with the health of the ecosystem and resilience to environmental stressors. The need for a One Health approach is particularly evident in the plight of Old World vultures, which are facing a conservation crisis due to drastic reductions in populations across their entire range. Moreover, vulture conservation exemplifies many contemporary tenets of One Health; vultures are critical to a sustainable and resilient ecosystem, which in turn is essential for the socio-ecological health of human communities. In this review, we examine the complex factors contributing to the demise of Old World vulture populations, using the lens of One Health to conceptualize the primary drivers impacting the health and sustainability of these populations. The One Health concept provides the basis for the development of a framework that incorporates a multidimensional approach and includes human health, wildlife health, environmental and disease-related stressors, disease incidences, societal pressures, and environmental contaminants. Integrating societal needs with management aimed at maintaining healthy vulture populations is key for successfully using a One Health framework to optimize the health of human and wildlife populations and ensure ecosystem health.El enfoque ‘‘Una Salud’’ promueve una poderosa interrelacio´n entre la salud de los humanos y de la fauna salvaje asociados a la salud de los ecosistemas. El concepto inicial de Una Salud fue formulado de´cadas atra´s y se enfocaba en la transferencia de enfermedades de la fauna salvaje a las poblaciones humanas. Ma´s recientemente, el concepto ha sido usado para asociar la resiliencia a las enfermedades con la salud de los ecosistemas y la resiliencia a factores de estre´s ambiental. La necesidad de utilizar el enfoque de Una Salud es particularmente evidente ante la dif´ıcil situacio´n de los buitres del Viejo Mundo, los cuales se enfrentan a una situacio´n de crisis de conservacio´n debido a la reduccio´n dra´stica en sus poblaciones a lo largo de toda su a´rea de distribucio´n. Adema´s, la conservacio´n de los buitres ejemplifica mucho de los principios contempora´neos de Una Salud; los buitres son cr´ıticos para un ecosistema sostenible y resiliente, lo que a su vez es esencial para la salud socio-ecolo´gica de las comunidades humanas. En esta revisio´n, examinamos los factores complejos que contribuyen al descenso de las poblaciones de buitres del Viejo Mundo, usando el enfoque de Una Salud para conceptualizar los factores principales que impactan en la salud y la sostenibilidad de estas poblaciones. El concepto de Una Salud proporciona las bases para el desarrollo de un marco de referencia que incorpora un enfoque multidimensional, incluyendo la salud humana y de la vida silvestre, factores estresantes ambientales y de enfermedades, incidencia de enfermedades, presiones sociales y qu´ımicos ambientales. Integrar las necesidades de la sociedad con la gestio´n destinada a mantener poblaciones saludables de buitres es clave para usar exitosamente el marco de referencia de Una Salud y as´ı optimizar la salud de las poblaciones humanas y de la fauna salvaje asegurando la salud del ecosistema.The National Science Foundationhttps://bioone.org/journals/journal-of-raptor-researcham2022Zoology and Entomolog

Geographical and temporal distribution of SARS-CoV-2 clades in the WHO European Region, January to June 2020

We show the distribution of SARS-CoV-2 genetic clades over time and between countries and outline potential genomic surveillance objectives. We applied three available genomic nomenclature systems for SARS-CoV-2 to all sequence data from the WHO European Region available during the COVID-19 pandemic until 10 July 2020. We highlight the importance of real-time sequencing and data dissemination in a pandemic situation. We provide a comparison of the nomenclatures and lay a foundation for future European genomic surveillance of SARS-CoV-2.Peer reviewe

Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity.

Global dispersal and increasing frequency of the SARS-CoV-2 spike protein variant D614G are suggestive of a selective advantage but may also be due to a random founder effect. We investigate the hypothesis for positive selection of spike D614G in the United Kingdom using more than 25,000 whole genome SARS-CoV-2 sequences. Despite the availability of a large dataset, well represented by both spike 614 variants, not all approaches showed a conclusive signal of positive selection. Population genetic analysis indicates that 614G increases in frequency relative to 614D in a manner consistent with a selective advantage. We do not find any indication that patients infected with the spike 614G variant have higher COVID-19 mortality or clinical severity, but 614G is associated with higher viral load and younger age of patients. Significant differences in growth and size of 614G phylogenetic clusters indicate a need for continued study of this variant

Evaluating the Effects of SARS-CoV-2 Spike Mutation D614G on Transmissibility and Pathogenicity

Global dispersal and increasing frequency of the SARS-CoV-2 spike protein variant D614G are suggestive of a selective advantage but may also be due to a random founder effect. We investigate the hypothesis for positive selection of spike D614G in the United Kingdom using more than 25,000 whole genome SARS-CoV-2 sequences. Despite the availability of a large dataset, well represented by both spike 614 variants, not all approaches showed a conclusive signal of positive selection. Population genetic analysis indicates that 614G increases in frequency relative to 614D in a manner consistent with a selective advantage. We do not find any indication that patients infected with the spike 614G variant have higher COVID-19 mortality or clinical severity, but 614G is associated with higher viral load and younger age of patients. Significant differences in growth and size of 614G phylogenetic clusters indicate a need for continued study of this variant

Data from: Modeling connectivity to identify current and future anthropogenic barriers to movement of large carnivores: a case study in the American Southwest

This study sought to identify critical areas for puma (Puma concolor) movement across the state of Arizona in the American Southwest and to identify those most likely to be impacted by current and future human land uses, particularly expanding urban development and associated increases in traffic volume. Human populations in this region are expanding rapidly, with the potential for urban centers and busy roads to increasingly act as barriers to demographic and genetic connectivity of large-bodied, wide-ranging carnivores such as pumas, whose long-distance movements are likely to bring them into contact with human land uses and whose low tolerance both for and from humans may put them at risk unless opportunities for safe passage through or around human-modified landscapes are present. Brownian bridge movement models based on global positioning system collar data collected during bouts of active movement and linear mixed models were used to model habitat quality for puma movement, then a wall-to-wall application of circuit theory models was used to produce a continuous statewide estimate of connectivity for puma movement and to identify pinch points, or bottlenecks, that may be most at risk of impacts from current and future traffic volume and expanding development. Rugged, shrub- and scrub-dominated regions were highlighted as those offering high quality movement habitat for pumas, and pinch points with the greatest potential impacts from expanding development and traffic, though widely distributed, were particularly prominent to the north and east of the city of Phoenix and along interstate highways in the western portion of the state. These pinch points likely constitute important conservation opportunities, where barriers to movement may cause disproportionate loss of connectivity, but also where actions such as placement of wildlife crossing structures or conservation easements could enhance connectivity and prevent detrimental impacts before they occur

Data from: Modeling and mapping the probability of occurrence of invasive wild pigs across the contiguous United States

Wild pigs (Sus scrofa), also known as wild swine, feral pigs, or feral hogs, are one of the most widespread and successful invasive species around the world. Wild pigs have been linked to extensive and costly agricultural damage and present a serious threat to plant and animal communities due to their rooting behavior and omnivorous diet. We modeled the current distribution of wild pigs in the United States to better understand the physiological and ecological factors that may determine their invasive potential and to guide future study and eradication efforts. Using national-scale wild pig occurrence data reported between 1982 and 2012 by wildlife management professionals, we estimated the probability of wild pig occurrence across the United States using a logistic discrimination function and environmental covariates hypothesized to influence the distribution of the species. Our results suggest the distribution of wild pigs in the U.S. was most strongly limited by cold temperatures and availability of water, and that they were most likely to occur where potential home ranges had higher habitat heterogeneity, providing access to multiple key resources including water, forage, and cover. High probability of occurrence was also associated with frequent high temperatures, up to a high threshold. However, this pattern is driven by pigs' historic distribution in warm climates of the southern U.S. Further study of pigs' ability to persist in cold northern climates is needed to better understand whether low temperatures actually limit their distribution. Our model highlights areas at risk of invasion as those with habitat conditions similar to those found in pigs' current range that are also near current populations. This study provides a macro-scale approach to generalist species distribution modeling that is applicable to other generalist and invasive species

Alterations in Fecal Short-Chain Fatty Acids after Bariatric Surgery: Relationship with Dietary Intake and Weight Loss

Bariatric surgery is associated with weight loss attributed to reduced caloric intake, mechanical changes, and alterations in gut hormones. However, some studies have suggested a heightened incidence of colorectal cancer (CRC) has been associated with bariatric surgery, emphasizing the importance of identifying mechanisms of risk. The objective of this study was to determine if bariatric surgery is associated with decreases in fecal short-chain fatty acids (SCFA), a group of bacterial metabolites of fiber. Fecal samples (n = 22) were collected pre- (~6 weeks) and post-bariatric surgery (~4 months) in patients undergoing Roux-en-Y gastric bypass and sleeve gastrectomy. SCFA levels were quantified using liquid chromatography/mass spectrometry. Dietary intake was quantified using 24-h dietary recalls. Using an aggregate variable, straight SCFAs significantly decreased by 27% from pre- to post-surgery, specifically acetate, propionate, butyrate, and valerate. Pre-surgery weight was inversely associated with butyrate, with no association remaining post-surgery. Multiple food groups were positively (sugars, milk, and red and orange vegetables) and inversely (animal protein) associated with SCFA levels. Our results suggest a potential mechanism linking dietary intake and SCFA levels with CRC risk post-bariatric surgery with implications for interventions to increase SCFA levels

U.S. wild pig species distribution model data

This is the final dataset used to derive the wild pig distribution model for the contiguous United States presented in the accompanying publication, along with predictive model output values. Please see the ReadMe file for further details