RESUMEN
The history of fungal diversity of the Northeastern United States is currently fragmentary and restricted to particular functional groups or limited geospatial scales. Here, we describe a unique by its size, lifespan and data originators dataset, to improve our understanding of species occurrence and distribution across the state and time. Between the years 2007 to 2019, over 30 parks and nature preserves were sampled during forays conducted by members of the New Jersey Mycological Association (USA), a nonprofit organization of fungi enthusiasts. The dataset contains over 400 000 occurrences of over 1400 species across the state, made up mostly of the phylum Basidiomycota (89%) and Ascomycota (11%), with most observations resolved at the species level (>99%). The database is georeferenced and openly accessible through the Global Biodiversity Information Facility (GBIF) repository. This dataset marks a productive endeavor to contribute to our knowledge of the biodiversity of fungi in the Northeastern United States leveraging citizen science to better resolve biodiversity of this critical and understudied kingdom.
Asunto(s)
Ascomicetos , Basidiomycota , Ciencia Ciudadana , Biodiversidad , New JerseyRESUMEN
One significant impact of the COVID-19 pandemic for educators in forensic science was adapting what is traditionally a very applied field to a virtual learning environment. Because of this, science classes with a practical laboratory component had to implement significant adjustments to ensure that student learning objectives were still met, including practical elements. To provide learners with an alternative to a traditional lab exercise in forensic entomology, we designed an exercise to be conducted completely remotely to instruct students in how to identify a real unknown specimen using a hypothetical phylogenetic tree they create. Students retrieved data and make predictions using public databases, generate phylogenies based off sequence data, and finally determine the identity of the unknown sequence provided. This lab replacement exercise has been adapted to be accessible to learners from different academic levels and takes the length of one two-and-a-half-hour lab period to complete. Through creating this resource, we have been able to link molecular systematics to forensic education and provide learners who download this publicly available exercise insight into how forensic questions are answered.
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COVID-19 , Pandemias , Humanos , Filogenia , COVID-19/epidemiología , Estudiantes , AprendizajeRESUMEN
Apparent competition is one mechanism that can contribute to the complex dynamics observed in natural systems, yet it remains understudied in empirical systems. Understanding the dynamics that shape the outcome of processes like apparent competition is vital for appreciating how they influence natural systems. We empirically evaluated the role of indirect trophic interactions in driving apparent competition in a model laboratory system. Our experimental system was designed to let us evaluate combined direct and indirect interactions among species. Here we describe the results of a factorial experiment using two noncompeting prey (Colpidium kleini, a heterotroph, and Chlamydomonas reinhardtii, an autotroph) consumed by a generalist predator Euplotes eurystomus to explore the dynamics of apparent competition. To gain intuition into the potential mechanism driving the asymmetry in the observed results, we further explored the system using structural equation modelling. Our results show an important role of positive interactions and indirect effects contributing to apparent competition in this system with a marked asymmetrical outcome favouring one prey, Chlamydomonas. The selected structural equation supports a role of indirect facilitation; although Chlamydomonas (a photoautotroph) and Colpidium (a bacterivore) use different resources and therefor do not directly compete, Colpidium reduces bacteria that may compete with Chlamydomonas. In addition, formation of colonies by Chlamydomonas in response to predation by Euplotes provides an antipredator defence not available to Colpidium. Asymmetric apparent competition may be more common in natural systems than the symmetric interaction originally proposed in classic theory, suggesting that exploration of the mechanisms driving the asymmetry of the interaction can be a fruitful area of further research to better our understanding of interspecific interactions and community dynamics.
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Modelos Biológicos , Conducta Predatoria , Animales , Cadena Alimentaria , Dinámica Poblacional , Conducta Predatoria/fisiologíaRESUMEN
Suspended on-site instruction during the COVID-19 created an exceptional challenge for teaching hands-on laboratory classes. We designed an online laboratory activity using computational biology techniques to overcome this issue. This set of online exercises introduces bioinformatics skills into existing curricula in the form of guided tutorials based on molecular data on SARS-CoV-2 virus.
Asunto(s)
Biología Computacional/educación , Educación a Distancia , Laboratorios , Modelos Moleculares , Filogenia , SARS-CoV-2 , Proteínas Virales , Humanos , SARS-CoV-2/química , SARS-CoV-2/genética , Proteínas Virales/química , Proteínas Virales/genéticaRESUMEN
Parasites and pathogens have recently received considerable attention for their ability to affect biological invasions, however, researchers have largely overlooked the distinct role of viruses afforded by their unique ability to rapidly mutate and adapt to new hosts. With high mutation and genomic substitution rates, RNA and single-stranded DNA (ssDNA) viruses may be important constituents of invaded ecosystems, and could potentially behave quite differently from other pathogens. We review evidence suggesting that rapidly evolving viruses impact invasion dynamics in three key ways: (1) Rapidly evolving viruses may prevent exotic species from establishing self-sustaining populations. (2) Viruses can cause population collapses of exotic species in the introduced range. (3) Viruses can alter the consequences of biological invasions by causing population collapses and extinctions of native species. The ubiquity and frequent host shifting of viruses make their ability to influence invasion events likely. Eludicating the viral ecology of biological invasions will lead to an improved understanding of the causes and consequences of invasions, particularly as regards establishment success and changes to community structure that cannot be explained by direct interspecific interactions among native and exotic species.