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  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Annals of biomedical engineering 27 (1999), S. 42-47 
    ISSN: 1573-9686
    Keywords: GIS ; Digital image processing ; Intravital microscopy ; Microcirculation ; Ionizing radiation ; Physiome Project
    Source: Springer Online Journal Archives 1860-2000
    Topics: Medicine , Technology
    Notes: Abstract An automated system (ANET) has been developed to construct interactive maps of microvascular networks, calculate blood flow parameters, and simulate microvascular network blood flow using the geographic information systems (GIS) technology. ANET enables us to automatically collect and display topological, structural, and functional parameters and simulate blood flow in microvascular networks. The user-definable programming interface was used for the manipulation of drawings and data. Visual enhancement techniques such as color can be used to display useful information within a network. In ANET the network map becomes a graphical interface through which network information is stored and retrieved and simulations of microvascular network blood flow are carried out. We have used ANET to study the effects of ionizing radiation on normal tissue microvascular networks. Our results indicate that while vessel diameters significantly increased with age in control animals they decreased in irradiated animals. The tortuosity of irradiated vessels (16.3 ± 1.1 mean±standard error of the mean) was significantly different from control vessels (10.0 ± 1.3) only at 7 days postirradiation. Average red blood cell transit time was significantly different between control (1.6 ± 0.6 s) and irradiated (10.7 ± 5.7 s) microvascular networks at 30 days postirradiation. ANET provides an effective tool for handling the large volume of complex data that is usually obtained in microvascular network studies and for simulating blood flow in microvascular networks. © 1999 Biomedical Engineering Society. PAC99: 8764-t, 8719Tt, 0705Pj, 8750Gi
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2022-05-26
    Description: © The Author(s), 2017. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Evolutionary Applications 10 (2017): 762–783, doi:10.1111/eva.12470.
    Description: For most species, evolutionary adaptation is not expected to be sufficiently rapid to buffer the effects of human-mediated environmental changes, including environmental pollution. Here we review how key features of populations, the characteristics of environmental pollution, and the genetic architecture underlying adaptive traits, may interact to shape the likelihood of evolutionary rescue from pollution. Large populations of Atlantic killifish (Fundulus heteroclitus) persist in some of the most contaminated estuaries of the United States, and killifish studies have provided some of the first insights into the types of genomic changes that enable rapid evolutionary rescue from complexly degraded environments. We describe how selection by industrial pollutants and other stressors has acted on multiple populations of killifish and posit that extreme nucleotide diversity uniquely positions this species for successful evolutionary adaptation. Mechanistic studies have identified some of the genetic underpinnings of adaptation to a well-studied class of toxic pollutants; however, multiple genetic regions under selection in wild populations seem to reflect more complex responses to diverse native stressors and/or compensatory responses to primary adaptation. The discovery of these pollution-adapted killifish populations suggests that the evolutionary influence of anthropogenic stressors as selective agents occurs widely. Yet adaptation to chemical pollution in terrestrial and aquatic vertebrate wildlife may rarely be a successful “solution to pollution” because potentially adaptive phenotypes may be complex and incur fitness costs, and therefore be unlikely to evolve quickly enough, especially in species with small population sizes.
    Description: National Science Foundation Grant Numbers: DEB-1265282, OCE-1314567, DEB-1120263; National Institutes of Environmental Health Sciences Grant Numbers: R01ES021934-01, P42ES007381; Postdoctoral Research Program at the US Environmental Protection (US EPA); Office of Research and Development; Oak Ridge Institute for Science and Education (ORISE) Grant Number: DW92429801; US Department of Energy
    Keywords: Adaptation ; Contemporary evolution ; Ecological genetics ; Ecotoxicology ; Genomics/proteomics ; Molecular evolution ; Natural selection and contemporary evolution ; Population genetics—empirical
    Repository Name: Woods Hole Open Access Server
    Type: Article
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