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      Early Warning of Cotton Bollworm Resistance Associated with Intensive Planting of Bt Cotton in China

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          Abstract

          Transgenic crops producing Bacillus thuringiensis (Bt) toxins kill some key insect pests, but evolution of resistance by pests can reduce their efficacy. The predominant strategy for delaying pest resistance to Bt crops requires refuges of non-Bt host plants to promote survival of susceptible pests. To delay pest resistance to transgenic cotton producing Bt toxin Cry1Ac, farmers in the United States and Australia planted refuges of non-Bt cotton, while farmers in China have relied on “natural” refuges of non-Bt host plants other than cotton. Here we report data from a 2010 survey showing field-evolved resistance to Cry1Ac of the major target pest, cotton bollworm ( Helicoverpa armigera), in northern China. Laboratory bioassay results show that susceptibility to Cry1Ac was significantly lower in 13 field populations from northern China, where Bt cotton has been planted intensively, than in two populations from sites in northwestern China where exposure to Bt cotton has been limited. Susceptibility to Bt toxin Cry2Ab did not differ between northern and northwestern China, demonstrating that resistance to Cry1Ac did not cause cross-resistance to Cry2Ab, and implying that resistance to Cry1Ac in northern China is a specific adaptation caused by exposure to this toxin in Bt cotton. Despite the resistance detected in laboratory bioassays, control failures of Bt cotton have not been reported in China. This early warning may spur proactive countermeasures, including a switch to transgenic cotton producing two or more toxins distinct from Cry1A toxins.

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          Most cited references42

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          Bacillus thuringiensis and its pesticidal crystal proteins.

          During the past decade the pesticidal bacterium Bacillus thuringiensis has been the subject of intensive research. These efforts have yielded considerable data about the complex relationships between the structure, mechanism of action, and genetics of the organism's pesticidal crystal proteins, and a coherent picture of these relationships is beginning to emerge. Other studies have focused on the ecological role of the B. thuringiensis crystal proteins, their performance in agricultural and other natural settings, and the evolution of resistance mechanisms in target pests. Armed with this knowledge base and with the tools of modern biotechnology, researchers are now reporting promising results in engineering more-useful toxins and formulations, in creating transgenic plants that express pesticidal activity, and in constructing integrated management strategies to insure that these products are utilized with maximum efficiency and benefit.
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            Sustainability of transgenic insecticidal cultivars: integrating pest genetics and ecology.

            F. Gould (1998)
            This review examines potential impacts of transgenic cultivars on insect population dynamics and evolution. Experience with classically bred, insecticidal cultivars has demonstrated that a solid understanding of both the target insect's ecology and the cultivar's performance under varied field conditions will be essential for predicting area-wide effects of transgenic cultivars on pest and natural enemy dynamics. This experience has also demonstrated the evolutionary capacity of pests for adaptive response to insecticidal traits in crops. Biochemical and genetic studies of insect adaptation to the Bacillus thuringiensis (Bt) toxins expressed by currently marketed transgenic cultivars indicate a high risk for rapid adaptation if these cultivars are misused. Theoretical and practical issues involved in implementing strategies to delay pest adaptation to insecticidal cultivars are reviewed. Emphasis is placed on examining the "high dose"/refuge strategy that has become the goal of industry and regulatory authorities.
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              Overlapping confidence intervals or standard error intervals: What do they mean in terms of statistical significance?

              We investigate the procedure of checking for overlap between confidence intervals or standard error intervals to draw conclusions regarding hypotheses about differences between population parameters. Mathematical expressions and algebraic manipulations are given, and computer simulations are performed to assess the usefulness of confidence and standard error intervals in this manner. We make recommendations for their use in situations in which standard tests of hypotheses do not exist. An example is given that tests this methodology for comparing effective dose levels in independent probit regressions, an application that is also pertinent to derivations of LC50s for insect pathogens and of detectability half-lives for prey proteins or DNA sequences in predator gut analysis.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, USA )
                1932-6203
                2011
                9 August 2011
                : 6
                : 8
                : e22874
                Affiliations
                [1 ]College of Plant Protection, Nanjing Agricultural University, Nanjing, China
                [2 ]Key Laboratory of Integrated Management of Crop Diseases and Pests (Nanjing Agricultural University), Ministry of Education, Nanjing, China
                [3 ]Department of Entomology, University of Arizona, Tucson, Arizona, United States of America
                Ghent University, Belgium
                Author notes

                Conceived and designed the experiments: YW. Performed the experiments: HZ WY JZ YY SW LJ. Analyzed the data: YW BT. Contributed reagents/materials/analysis tools: YY SW. Wrote the paper: YW BT.

                Article
                PONE-D-11-06915
                10.1371/journal.pone.0022874
                3153483
                21857961
                578d7f18-5841-4656-81c6-98fb0ea6f9e2
                Zhang 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
                : 20 April 2011
                : 30 June 2011
                Page count
                Pages: 8
                Categories
                Research Article
                Agriculture
                Agricultural Biotechnology
                Genetically Modified Organisms
                Crops
                Fibers
                Cotton
                Pest Control
                Integrated Control
                Biology
                Biotechnology
                Plant Biotechnology
                Transgenic Plants
                Evolutionary Biology
                Population Genetics
                Genetics
                Plant Genetics
                Crop Genetics
                Plant Science
                Plant Biotechnology
                Transgenic Plants
                Population Biology
                Population Genetics

                Uncategorized
                Uncategorized

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