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      A molecular detection approach for assessing wheat aphid-parasitoid food webs in northern China

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          Abstract

          In northern China, wheat aphids are widespread and pose serious threats to wheat crop yields. As parasitoids are important parasitic natural enemies of wheat aphids, their interactions with wheat aphids have received much attention. Traditional methods commonly cannot provide clear evidence of trophic links between primary parasitoids and hyperparasitoids or multiparasitism. To overcome this problem, we developed a molecular approach including three multiplex PCRs and five singleplex PCRs. With this approach, four wheat aphid species, four primary parasitoid species and eight to nine hyperparasitoid species were detected from aphid samples, which covered all the primary parasitoids and 94.8-98.1% of the hyperparasitoids found in wheat fields of northern China. The trophic interactions between aphids and primary parasitoids and between primary parasitoids and hyperparasitoids were determined, and a quantitative tri-trophic food web was established through molecular detection. The proportion of hyperparasitized samples was 53.36%, and multiparasitism was very common in the hyperparasitoid trophic interactions (22.02%). These results indicate that this approach is effective for revealing the complex wheat aphid-parasitoid-hyperparasitoid networks in northern China.

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          The sublethal effects of pesticides on beneficial arthropods.

          Traditionally, measurement of the acute toxicity of pesticides to beneficial arthropods has relied largely on the determination of an acute median lethal dose or concentration. However, the estimated lethal dose during acute toxicity tests may only be a partial measure of the deleterious effects. In addition to direct mortality induced by pesticides, their sublethal effects on arthropod physiology and behavior must be considered for a complete analysis of their impact. An increasing number of studies and methods related to the identification and characterization of these effects have been published in the past 15 years. Review of sublethal effects reported in published literature, taking into account recent data, has revealed new insights into the sublethal effects of pesticides including effects on learning performance, behavior, and neurophysiology. We characterize the different types of sublethal effects on beneficial arthropods, focusing mainly on honey bees and natural enemies, and we describe the methods used in these studies. Finally, we discuss the potential for developing experimental approaches that take into account these sublethal effects in integrated pest management and the possibility of integrating their evaluation in pesticide registration procedures.
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            Towards next-generation biodiversity assessment using DNA metabarcoding.

            Virtually all empirical ecological studies require species identification during data collection. DNA metabarcoding refers to the automated identification of multiple species from a single bulk sample containing entire organisms or from a single environmental sample containing degraded DNA (soil, water, faeces, etc.). It can be implemented for both modern and ancient environmental samples. The availability of next-generation sequencing platforms and the ecologists' need for high-throughput taxon identification have facilitated the emergence of DNA metabarcoding. The potential power of DNA metabarcoding as it is implemented today is limited mainly by its dependency on PCR and by the considerable investment needed to build comprehensive taxonomic reference libraries. Further developments associated with the impressive progress in DNA sequencing will eliminate the currently required DNA amplification step, and comprehensive taxonomic reference libraries composed of whole organellar genomes and repetitive ribosomal nuclear DNA can be built based on the well-curated DNA extract collections maintained by standardized barcoding initiatives. The near-term future of DNA metabarcoding has an enormous potential to boost data acquisition in biodiversity research. © 2012 Blackwell Publishing Ltd.
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                Author and article information

                Journal
                entomologia
                Entomologia Generalis
                Journal of General and Applied Entomology - Zeitschrift für Allgemeine und Angewandte Entomologie
                entomologia
                Schweizerbart Science Publishers (Stuttgart, Germany http://www.schweizerbart.com/ mail@ 123456schweizerbart.de )
                0171-8177
                3 November 2020
                15 October 2020
                : 40
                : 3
                : 273-284
                Affiliations
                1 State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China.
                2 Université Côte d'Azur, INRAE, CNRS, UMR ISA, 06000, Nice, France
                Author notes

                *Corresponding author: luyanhui@ 123456caas.cn

                Article
                96381 1009
                10.1127/entomologia/2020/1009
                c7cca92c-e983-4b0e-9b00-e6ded15d30fd
                Copyright © 2020 E. Schweizerbart’sche Verlagsbuchhandlung, 70176 Stuttgart, Germany
                History
                : 17 September 2019
                : 06 November 2019
                : 03 July 2020
                : 09 August 2020
                Page count
                Figures: 2, Tables: 3, Pages: 12
                Custom metadata
                1
                research_paper

                Entomology,Parasitology,Ecology,Molecular biology,Pests, Diseases & Weeds
                multiplex PCRs,conservation biological control,aphid,parasitoid,quantitative food web

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