13
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Transgenic Bt Cotton Does Not Disrupt the Top-Down Forces Regulating the Cotton Aphid in Central China

      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

          Top-down force is referred to arthropod pest management delivered by the organisms from higher trophic levels. In the context of prevalent adoption of transgenic Bt crops that produce insecticidal Cry proteins derived from Bacillus thuringiensis (Bt), it still remains elusive whether the top-down forces are affected by the insect-resistant traits that introduced into the Bt crops. We explored how Bt cotton affect the strength of top-down forces via arthropod natural enemies in regulating a non-target pest species, the cotton aphid Aphis gossypii Glover, using a comparative approach (i.e. Bt cotton vs. conventional cotton) under field conditions. To determine top-down forces, we manipulated predation/parasitism exposure of the aphid to their natural enemies using exclusion cages. We found that the aphid population growth was strongly suppressed by the dominant natural enemies including Coccinellids, spiders and Aphidiines parasitoids. Coccinellids, spiders and the assemblage of other arthropod natural enemies (mainly lacewings and Hemipteran bugs) are similarly abundant in both plots, but with the parasitoid mummies less abundant in Bt cotton plots compared to the conventional cotton plots. However, the lower abundance of parasitoids in Bt cotton plots alone did not translate into differential top-down control on A. gossypii populations compared to conventional ones. Overall, the top-down forces were equally strong in both plots. We conclude that transgenic Bt cotton does not disrupt the top-down forces regulating the cotton aphid in central China.

          Related collections

          Most cited references24

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

          Habitat management to conserve natural enemies of arthropod pests in agriculture.

          Many agroecosystems are unfavorable environments for natural enemies due to high levels of disturbance. Habitat management, a form of conservation biological control, is an ecologically based approach aimed at favoring natural enemies and enhancing biological control in agricultural systems. The goal of habitat management is to create a suitable ecological infrastructure within the agricultural landscape to provide resources such as food for adult natural enemies, alternative prey or hosts, and shelter from adverse conditions. These resources must be integrated into the landscape in a way that is spatially and temporally favorable to natural enemies and practical for producers to implement. The rapidly expanding literature on habitat management is reviewed with attention to practices for favoring predators and parasitoids, implementation of habitat management, and the contributions of modeling and ecological theory to this developing area of conservation biological control. The potential to integrate the goals of habitat management for natural enemies and nature conservation is discussed.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Widespread adoption of Bt cotton and insecticide decrease promotes biocontrol services.

            Over the past 16 years, vast plantings of transgenic crops producing insecticidal proteins from the bacterium Bacillus thuringiensis (Bt) have helped to control several major insect pests and reduce the need for insecticide sprays. Because broad-spectrum insecticides kill arthropod natural enemies that provide biological control of pests, the decrease in use of insecticide sprays associated with Bt crops could enhance biocontrol services. However, this hypothesis has not been tested in terms of long-term landscape-level impacts. On the basis of data from 1990 to 2010 at 36 sites in six provinces of northern China, we show here a marked increase in abundance of three types of generalist arthropod predators (ladybirds, lacewings and spiders) and a decreased abundance of aphid pests associated with widespread adoption of Bt cotton and reduced insecticide sprays in this crop. We also found evidence that the predators might provide additional biocontrol services spilling over from Bt cotton fields onto neighbouring crops (maize, peanut and soybean). Our work extends results from general studies evaluating ecological effects of Bt crops by demonstrating that such crops can promote biocontrol services in agricultural landscapes.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              A meta-analysis of crop pest and natural enemy response to landscape complexity.

              Many studies in recent years have investigated the relationship between landscape complexity and pests, natural enemies and/or pest control. However, no quantitative synthesis of this literature beyond simple vote-count methods yet exists. We conducted a meta-analysis of 46 landscape-level studies, and found that natural enemies have a strong positive response to landscape complexity. Generalist enemies show consistent positive responses to landscape complexity across all scales measured, while specialist enemies respond more strongly to landscape complexity at smaller scales. Generalist enemy response to natural habitat also tends to occur at larger spatial scales than for specialist enemies, suggesting that land management strategies to enhance natural pest control should differ depending on whether the dominant enemies are generalists or specialists. The positive response of natural enemies does not necessarily translate into pest control, since pest abundances show no significant response to landscape complexity. Very few landscape-scale studies have estimated enemy impact on pest populations, however, limiting our understanding of the effects of landscape on pest control. We suggest focusing future research efforts on measuring population dynamics rather than static counts to better characterise the relationship between landscape complexity and pest control services from natural enemies. © 2011 Blackwell Publishing Ltd/CNRS.
                Bookmark

                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                21 November 2016
                2016
                : 11
                : 11
                : e0166771
                Affiliations
                [1 ]Department of Entomology, China Agricultural University, Beijing, China
                [2 ]College of Plant Science, Tarim University, Alar, China
                [3 ]Hubei Insect Resources Utilization and Sustainable Pest Management Key Laboratory, College of Plant Science and Technology, Huazhong Agricultural University, Wuhan, China
                [4 ]INRA (French National Institute for Agricultural Research), Université Nice Sophia Antipolis, CNRS, UMR 1355–7254 Institut Sophia Agrobiotech, Sophia Antipolis, France
                [5 ]State Key Laboratory of Cotton Biology, Institute of Cotton Research CAAS, Anyang, China
                CSIRO, AUSTRALIA
                Author notes

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

                • Conceptualization: PH ND.

                • Formal analysis: PH.

                • Funding acquisition: ND CYN XWG JJC.

                • Investigation: YSY YCD.

                • Methodology: YSY PH.

                • Resources: CYN XWG JJC.

                • Supervision: PH CYN.

                • Writing – original draft: PH.

                • Writing – review & editing: PH ND.

                Article
                PONE-D-16-16206
                10.1371/journal.pone.0166771
                5117714
                27870914
                b41ecdf2-1612-4b6b-8c31-703e1434fa76
                © 2016 Yao 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
                : 21 April 2016
                : 3 November 2016
                Page count
                Figures: 5, Tables: 1, Pages: 13
                Funding
                Funded by: FP7-People-IRSES “APHIWEB”
                Award ID: 611810
                Funded by: funder-id http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31330064
                Funded by: State Key Laboratory of Cotton Biology Open Fund of China
                Award ID: CB2016A09
                This work was supported by FP7-People-IRSES “APHIWEB” (611810), National Natural Science Foundation of China (31330064), and State Key Laboratory of Cotton Biology Open Fund of China (CB2016A09). 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
                Crop Science
                Crops
                Fiber Crops
                Cotton
                Biology and Life Sciences
                Agriculture
                Agronomy
                Plant Products
                Cotton
                Biology and Life Sciences
                Agriculture
                Crop Science
                Plant Products
                Cotton
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Insects
                Aphids
                Biology and Life Sciences
                Organisms
                Animals
                Invertebrates
                Arthropoda
                Biology and Life Sciences
                Population Biology
                Population Dynamics
                Biology and Life Sciences
                Population Biology
                Population Metrics
                Population Density
                People and Places
                Geographical Locations
                Asia
                China
                Biology and Life Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Trophic Interactions
                Predation
                Biology and Life Sciences
                Agriculture
                Pest Control
                Custom metadata
                All relevant data are within the paper and its Supporting Information files.

                Uncategorized
                Uncategorized

                Comments

                Comment on this article