31
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Genetic Structure, Diversity and Long Term Viability of a Medicinal Plant, Nothapodytes nimmoniana Graham. (Icacinaceae), in Protected and Non-Protected Areas in the Western Ghats Biodiversity Hotspot

      research-article

      Read this article at

      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

          Background and Question

          The harvesting of medicinal plants from wild sources is escalating in many parts of the world, compromising the long-term survival of natural populations of medicinally important plants and sustainability of sources of raw material to meet pharmaceutical industry needs. Although protected areas are considered to play a central role in conservation of plant genetic resources, the effectiveness of protected areas for maintaining medicinal plant populations subject to intense harvesting pressure remain largely unknown. We conducted genetic and demographic studies of Nothapodytes nimmoniana Graham, one of the extensively harvested medicinal plant species in the Western Ghats biodiversity hotspot, India to assess the effectiveness of protected areas in long-term maintenance of economically important plant species.

          Methodology/Principal Findings

          The analysis of adults and seedlings of N. nimmoniana in four protected and four non-protected areas using 7 nuclear microsatellite loci revealed that populations that are distributed within protected areas are subject to lower levels of harvesting and maintain higher genetic diversity (H e = 0.816, H o = 0.607, A = 18.857) than populations in adjoining non-protected areas (H e = 0.781, H o = 0.511, A = 15.571). Furthermore, seedlings in protected areas had significantly higher observed heterozygosity (H o = 0.630) and private alleles as compared to seedlings in adjoining non-protected areas (H o = 0.426). Most populations revealed signatures of recent genetic bottleneck. The prediction of long-term maintenance of genetic diversity using BOTTLESIM indicated that current population sizes of the species are not sufficient to maintain 90% of present genetic diversity for next 100 years.

          Conclusions/Significance

          Overall, these results highlight the need for establishing more protected areas encompassing a large number of adult plants in the Western Ghats to conserve genetic diversity of economically and medicinally important plant species.

          Related collections

          Most cited references20

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

          Effectiveness of parks in protecting tropical biodiversity.

          We assessed the impacts of anthropogenic threats on 93 protected areas in 22 tropical countries to test the hypothesis that parks are an effective means to protect tropical biodiversity. We found that the majority of parks are successful at stopping land clearing, and to a lesser degree effective at mitigating logging, hunting, fire, and grazing. Park effectiveness correlates with basic management activities such as enforcement, boundary demarcation, and direct compensation to local communities, suggesting that even modest increases in funding would directly increase the ability of parks to protect tropical biodiversity.
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            THE NUMBER OF ALLELES THAT CAN BE MAINTAINED IN A FINITE POPULATION.

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

              Indirect measures of gene flow and migration: FST not equal to 1/(4Nm + 1).

              The difficulty of directly measuring gene flow has lead to the common use of indirect measures extrapolated from genetic frequency data. These measures are variants of FST, a standardized measure of the genetic variance among populations, and are used to solve for Nm, the number of migrants successfully entering a population per generation. Unfortunately, the mathematical model underlying this translation makes many biologically unrealistic assumptions; real populations are very likely to violate these assumptions, such that there is often limited quantitative information to be gained about dispersal from using gene frequency data. While studies of genetic structure per se are often worthwhile, and FST is an excellent measure of the extent of this population structure, it is rare that FST can be translated into an accurate estimate of Nm.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2014
                10 December 2014
                : 9
                : 12
                : e112769
                Affiliations
                [1 ]Department of Crop Physiology, University of Agricultural Sciences, Bangalore, Karnataka, India
                [2 ]School of Ecology and Conservation, University of Agricultural Sciences, Bangalore, Karnataka, India
                [3 ]Department of Biology and Centre for Structural and Functional Genomics, Concordia University, Montreal, Quebec, Canada
                [4 ]Ashoka Trust for Research in Ecology and the Environment, Bangalore, Karnataka, India
                [5 ]Québec Centre for Biodiversity Science, Montréal, Québec, Canada
                CSIR- National institute of oceanography, India
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: RUS GR BTR SD. Analyzed the data: KNS SD. Contributed reagents/materials/analysis tools: RUS GR SD. Wrote the paper: KNS GR RUS SD. Performed the experiments, fieldwork: GR BTR. Performed the experiments, labwork: BTR SD.

                Article
                PONE-D-13-49701
                10.1371/journal.pone.0112769
                4262271
                25493426
                50823783-f8da-491b-83c0-75fd30450637
                Copyright @ 2014

                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
                : 25 November 2013
                : 19 October 2014
                Page count
                Pages: 25
                Funding
                The work was supported by the following: Department of Biotechnology, India; NSERC-Canada; and Canadian Commonwealth Scholarships Program. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Agriculture
                Forestry
                Ecology
                Biodiversity
                Ecological Metrics
                Plant Ecology
                Genetics
                Plant Genetics
                Plant Science
                Population Biology
                Ecology and Environmental Sciences
                Conservation Science

                Uncategorized
                Uncategorized

                Comments

                Comment on this article