10
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Association and Host Selectivity in Multi-Host Pathogens

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The distribution of multi-host pathogens over their host range conditions their population dynamics and structure. Also, host co-infection by different pathogens may have important consequences for the evolution of hosts and pathogens, and host-pathogen co-evolution. Hence it is of interest to know if the distribution of pathogens over their host range is random, or if there are associations between hosts and pathogens, or between pathogens sharing a host. To analyse these issues we propose indices for the observed patterns of host infection by pathogens, and for the observed patterns of co-infection, and tests to analyse if these patterns conform to randomness or reflect associations. Applying these tests to the prevalence of five plant viruses on 21 wild plant species evidenced host-virus associations: most hosts and viruses were selective for viruses and hosts, respectively. Interestingly, the more host-selective viruses were the more prevalent ones, suggesting that host specialisation is a successful strategy for multi-host pathogens. Analyses also showed that viruses tended to associate positively in co-infected hosts. The developed indices and tests provide the tools to analyse how strong and common are these associations among different groups of pathogens, which will help to understand and model the population biology of multi-host pathogens.

          Related collections

          Most cited references73

          • Record: found
          • Abstract: found
          • Article: not found

          Pathogen population genetics, evolutionary potential, and durable resistance.

          We hypothesize that the evolutionary potential of a pathogen population is reflected in its population genetic structure. Pathogen populations with a high evolutionary potential are more likely to overcome genetic resistance than pathogen populations with a low evolutionary potential. We propose a flexible framework to predict the evolutionary potential of pathogen populations based on analysis of their genetic structure. According to this framework, pathogens that pose the greatest risk of breaking down resistance genes have a mixed reproduction system, a high potential for genotype flow, large effective population sizes, and high mutation rates. The lowest risk pathogens are those with strict asexual reproduction, low potential for gene flow, small effective population sizes, and low mutation rates. We present examples of high-risk and low-risk pathogens. We propose general guidelines for a rational approach to breed durable resistance according to the evolutionary potential of the pathogen.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Identifying Reservoirs of Infection: A Conceptual and Practical Challenge

            (2002)
            Many infectious agents, especially those that cause emerging diseases, infect more than one host species. Managing reservoirs of multihost pathogens often plays a crucial role in effective disease control. However, reservoirs remain variously and loosely defined. We propose that reservoirs can only be understood with reference to defined target populations. Therefore, we define a reservoir as one or more epidemiologically connected populations or environments in which the pathogen can be permanently maintained and from which infection is transmitted to the defined target population. Existence of a reservoir is confirmed when infection within the target population cannot be sustained after all transmission between target and nontarget populations has been eliminated. When disease can be controlled solely by interventions within target populations, little knowledge of potentially complex reservoir infection dynamics is necessary for effective control. We discuss the practical value of different approaches that may be used to identify reservoirs in the field.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Biological and biomedical implications of the co-evolution of pathogens and their hosts.

              Co-evolution between host and pathogen is, in principle, a powerful determinant of the biology and genetics of infection and disease. Yet co-evolution has proven difficult to demonstrate rigorously in practice, and co-evolutionary thinking is only just beginning to inform medical or veterinary research in any meaningful way, even though it can have a major influence on how genetic variation in biomedically important traits is interpreted. Improving our understanding of the biomedical significance of co-evolution will require changing the way in which we look for it, complementing the phenomenological approach traditionally favored by evolutionary biologists with the exploitation of the extensive data becoming available on the molecular biology and molecular genetics of host-pathogen interactions.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS ONE
                plos
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2006
                20 December 2006
                : 1
                : 1
                : e41
                Affiliations
                [1 ]Departamento de Biotecnología, Instituto Nacional de Investigación Agraria y Alimentaria Madrid, Spain
                [2 ]Departamento de Biotecnología y Centro de Biotecnología y Genómica de Plantas, Universidad Politécnica de Madrid Madrid, Spain
                Oxford University, United Kingdom
                Author notes
                * To whom correspondence should be addressed. E-mail: fernando.garciaarenal@ 123456upm.es

                Conceived and designed the experiments: FG JM. Performed the experiments: AF SS. Analyzed the data: AF JM SS. Wrote the paper: FG JM.

                Article
                06-PONE-RA-00086R1
                10.1371/journal.pone.0000041
                1762347
                17183670
                7b2e0dc3-e63a-49ec-af6c-df0c3fd95913
                Malpica et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
                History
                : 31 August 2006
                : 2 October 2006
                Page count
                Pages: 8
                Categories
                Research Article
                Ecology
                Evolutionary Biology
                Infectious Diseases
                Pathology
                Public Health and Epidemiology
                Virology

                Uncategorized
                Uncategorized

                Comments

                Comment on this article