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      Impacts of biodiversity on the emergence and transmission of infectious diseases

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          Biodiversity is good for you

          Changes in biodiversity have the potential to either increase or reduce the incidence of infectious disease in plants and animals — including humans — because they involve interactions among species. At a minimum, this requires a host and a pathogen; often many more species are involved, including additional hosts, vectors and other organisms with which these species interact. Felicia Keesing and colleagues review the evidence that reduced biodiversity affects the transmission of infectious diseases of humans, other animals and plants. Despite important questions still to be answered, they conclude that the evidence that biodiversity exerts a protective effect on infectious diseases is sufficiently strong to include biodiversity protection as a strategy to improve health.

          Supplementary information

          The online version of this article (doi:10.1038/nature09575) contains supplementary material, which is available to authorized users.

          Abstract

          Current unprecedented declines in biodiversity reduce the ability of ecological communities to provide many fundamental ecosystem services. Here we evaluate evidence that reduced biodiversity affects the transmission of infectious diseases of humans, other animals and plants. In principle, loss of biodiversity could either increase or decrease disease transmission. However, mounting evidence indicates that biodiversity loss frequently increases disease transmission. In contrast, areas of naturally high biodiversity may serve as a source pool for new pathogens. Overall, despite many remaining questions, current evidence indicates that preserving intact ecosystems and their endemic biodiversity should generally reduce the prevalence of infectious diseases.

          Supplementary information

          The online version of this article (doi:10.1038/nature09575) contains supplementary material, which is available to authorized users.

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          Most cited references55

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          Bacterial diversity and White Plague Disease-associated community changes in the Caribbean coral Montastraea faveolata.

          Increasing evidence confirms the crucial role bacteria and archaea play within the coral holobiont, that is, the coral host and its associated microbial community. The bacterial component constitutes a community of high diversity, which appears to change in structure in response to disease events. In this study, we highlight the limitation of 16S rRNA gene (16S rDNA) clone library sequencing as the sole method to comprehensively describe coral-associated communities. This limitation was addressed by combining a high-density 16S rRNA gene microarray with, clone library sequencing as a novel approach to study bacterial communities in healthy versus diseased corals. We determined an increase in diversity as well as a significant shift in community structure in Montastraea faveolata colonies displaying phenotypic signs of White Plague Disease type II (WPD-II). An accumulation of species that belong to families that include known coral pathogens (Alteromonadaceae, Vibrionaceae), bacteria previously isolated from diseased, stressed or injured marine invertebrates (for example, Rhodobacteraceae), and other species (for example, Campylobacteraceae) was observed. Some of these species were also present in healthy tissue samples, but the putative primary pathogen, Aurantimonas corallicida, was not detected in any sample by either method. Although an ecological succession of bacteria during disease progression after causation by a primary agent represents a possible explanation for our observations, we also discuss the possibility that a disease of yet to be determined etiology may have affected M. faveolata colonies and resulted in (or be a result of) an increase in opportunistic pathogens.
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            Use of multiline cultivars and cultivar mixtures for disease management.

            The usefulness of mixtures (multiline cultivars and cultivar mixtures) for disease management has been well demonstrated for rusts and powdery mildews of small grain crops. Such mixtures are more useful under some epidemiological conditions than under others, and experimental methodology, especially problems of scale, may be crucial in evaluating the potential efficacy of mixtures on disease. There are now examples of mixtures providing both low and high degrees of disease control for a wide range of pathosystems, including crops with large plants, and pathogens that demonstrate low host specificity, or are splash dispersed, soilborne, or insect vectored. Though most analyses of pathogen evolution in mixtures consider static costs of virulence to be the main mechanism countering selection for pathogen complexity, many other potential mechanisms need to be investigated. Agronomic and marketing considerations must be carefully evaluated when implementing mixture approaches to crop management. Practical difficulties associated with mixtures have often been overestimated, however, and mixtures will likely play an increasingly important role as we develop more sustainable agricultural systems.
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              The predictability of extinction: biological and external correlates of decline in mammals

              Extinction risk varies among species, and comparative analyses can help clarify the causes of this variation. Here we present a phylogenetic comparative analysis of species-level extinction risk across nearly the whole of the class Mammalia. Our aims were to examine systematically the degree to which general predictors of extinction risk can be identified, and to investigate the relative importance of different types of predictors (life history, ecological, human impact and environmental) in determining extinction risk. A single global model explained 27.3% of variation in mammal extinction risk, but explanatory power was lower for region-specific models (median R2=0.248) and usually higher for taxon-specific models (median R2=0.383). Geographical range size, human population density and latitude were the most consistently significant predictors of extinction risk, but otherwise there was little evidence for general, prescriptive indicators of high extinction risk across mammals. Our results therefore support the view that comparative models of relatively narrow taxonomic scope are likely to be the most precise.
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                Author and article information

                Contributors
                keesing@bard.edu
                Journal
                Nature
                Nature
                Nature
                Nature Publishing Group UK (London )
                0028-0836
                1476-4687
                1 December 2010
                2010
                : 468
                : 7324
                : 647-652
                Affiliations
                [1 ]GRID grid.252838.6, ISNI 0000 0001 2375 3628, Department of Biology, , Bard College, ; Annandale, 12504 New York USA
                [2 ]GRID grid.438526.e, ISNI 0000 0001 0694 4940, Department of Biological Sciences, , Virginia Tech, ; Blacksburg, 24061 Virginia USA
                [3 ]GRID grid.420826.a, ISNI 0000 0004 0409 4702, EcoHealth Alliance, ; New York, 10001 New York USA
                [4 ]GRID grid.16750.35, ISNI 0000 0001 2097 5006, EEB, Eno Hall, Princeton University, ; Princeton, 08544-3417 New Jersey USA
                [5 ]GRID grid.5386.8, ISNI 000000041936877X, Department of Ecology & Evolutionary Biology, , Cornell University, ; Ithaca, 14853 New York USA
                [6 ]GRID grid.15276.37, ISNI 0000 0004 1936 8091, Department of Biology, , University of Florida, ; Gainesville, 32611 Florida USA
                [7 ]GRID grid.29857.31, ISNI 0000 0001 2097 4281, Center for Infectious Disease Dynamics, Pennsylvania State University, ; College Station, 16802 Pennsylvania USA
                [8 ]GRID grid.4391.f, ISNI 0000 0001 2112 1969, College of Veterinary Medicine, Oregon State University, ; Corvallis, 97331-4801 Oregon USA
                [9 ]GRID grid.20419.3e, ISNI 0000 0001 2242 7273, Institute of Zoology, Zoological Society of London, ; London, NW1 4RY UK
                [10 ]GRID grid.10698.36, ISNI 0000000122483208, Department of Biology, , The University of North Carolina at Chapel Hill, ; Chapel Hill, 27599 North Carolina USA
                [11 ]GRID grid.38142.3c, ISNI 000000041936754X, Harvard Medical School, Harvard University, ; Cambridge, 02138 Massachusetts USA
                [12 ]GRID grid.285538.1, ISNI 0000 0000 8756 8029, Cary Institute of Ecosystem Studies, ; Millbrook, 12545 New York USA
                Article
                BFnature09575
                10.1038/nature09575
                7094913
                21124449
                3f42ea9e-2ef0-44ab-b770-d45a87537e70
                © Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. 2010

                This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.

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                Custom metadata
                © Springer Nature Limited 2010

                Uncategorized
                infectious diseases,epidemiology,biodiversity
                Uncategorized
                infectious diseases, epidemiology, biodiversity

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