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      Tracking Community Timing: Pattern and Determinants of Seasonality in Culicoides (Diptera: Ceratopogonidae) in Northern Florida

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          Abstract

          Community dynamics are embedded in hierarchical spatial–temporal scales that connect environmental drivers with species assembly processes. Culicoides species are hematophagous arthropod vectors of orbiviruses that impact wild and domestic ruminants. A better sense of Culicoides dynamics over time is important because sympatric species can lengthen the seasonality of virus transmission. We tested a putative departure from the four seasons calendar in the phenology of Culicoides and the vector subassemblage in the Florida panhandle. Two years of weekly abundance data, temporal scales, persistence and environmental thresholds were analyzed using a tripartite Culicoides β-diversity based modeling approach. Culicoides phenology followed a two-season regime and was explained by stream flow and temperature, but not rainfall. Species richness fit a nested pattern where the species recruitment was maximized during spring months. Midges were active year-round, and two suspected vectors species, Culicoides venustus and Culicoides stellifer, were able to sustain and connect the seasonal modules. Persistence suggests that Orbivirus maintenance does not rely on overwintering and that viruses are maintained year-round, with the seasonal dynamics resembling subtropical Culicoides communities with temporal-overlapping between multivoltine species. Viewing Culicoides-borne orbiviruses as a time-sensitive community-based issue, our results help to recommend when management operations should be delivered.

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          Functional cartography of complex metabolic networks.

          High-throughput techniques are leading to an explosive growth in the size of biological databases and creating the opportunity to revolutionize our understanding of life and disease. Interpretation of these data remains, however, a major scientific challenge. Here, we propose a methodology that enables us to extract and display information contained in complex networks. Specifically, we demonstrate that we can find functional modules in complex networks, and classify nodes into universal roles according to their pattern of intra- and inter-module connections. The method thus yields a 'cartographic representation' of complex networks. Metabolic networks are among the most challenging biological networks and, arguably, the ones with most potential for immediate applicability. We use our method to analyse the metabolic networks of twelve organisms from three different superkingdoms. We find that, typically, 80% of the nodes are only connected to other nodes within their respective modules, and that nodes with different roles are affected by different evolutionary constraints and pressures. Remarkably, we find that metabolites that participate in only a few reactions but that connect different modules are more conserved than hubs whose links are mostly within a single module.
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            Conceptual synthesis in community ecology.

            Community ecology is often perceived as a "mess, "given the seemingly vast number of processes that can underlie the many patterns of interest, and the apparent uniqueness of each study system. However, at the most general level, patterns in the composition and diversity of species--the subject matter of community ecology--are influenced by only four classes of process: selection, drift, speciation, and dispersal. Selection represents deterministic fitness differences among species, drift represents stochastic changes in species abundance, speciation creates new species, and dispersal is the movement of organisms across space. All theoretical and conceptual models in community ecology can be understood with respect to their emphasis on these four processes. Empirical evidence exists for all of these processes and many of their interactions, with a predominance of studies on selection. Organizing the material of community ecology according to this framework can clarify the essential similarities and differences among the many conceptual and theoretical approaches to the discipline, and it can also allow for the articulation of a very general theory of community dynamics: species are added to communities via speciation and dispersal, and the relative abundances of these species are then shaped by drift and selection, as well as ongoing dispersal to drive community dynamics.
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              Community assembly, coexistence and the environmental filtering metaphor

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                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                25 August 2020
                September 2020
                : 12
                : 9
                : 931
                Affiliations
                [1 ]Florida Medical Entomology Laboratory, University of Florida, 200 9th St. SE, Vero Beach, FL 32962, USA; erik.blosser@ 123456gmail.com (E.M.B.); alrunkel4@ 123456gmail.com (A.E.R.IV); ksloyer@ 123456ufl.edu (K.E.S.); derram@ 123456ufl.edu (D.E.); nburkettcadena@ 123456ufl.edu (N.D.B.-C.)
                [2 ]United States Department of Agriculture, 1515 College Ave., Manhattan, KS 66502, USA; Bethany.McGregor@ 123456usda.gov
                [3 ]Department of Wildlife Ecology and Conservation, University of Florida, 110 Newins-Ziegler Hall, Gainesville, FL 32611, USA; wisely@ 123456ufl.edu
                Author notes
                [* ]Correspondence: aquaglia@ 123456ufl.edu ; Tel.: +1-772-226-6644
                Author information
                https://orcid.org/0000-0002-6182-798X
                https://orcid.org/0000-0003-1748-4518
                https://orcid.org/0000-0001-6168-1637
                Article
                viruses-12-00931
                10.3390/v12090931
                7552033
                32854272
                1940c227-3c6c-4d32-80a3-a7783f5c2689
                © 2020 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 26 June 2020
                : 24 August 2020
                Categories
                Article

                Microbiology & Virology
                culicoides,ehdv,btv,orbivirus,phenology,vector free period,community ecology,vector-borne disease ecology,veterinary entomology,time series multivariate analysis

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