Literature DB >> 25467127

What do molecular methods bring to host-parasitoid food webs?

Jan Hrček1, H Charles J Godfray2.   

Abstract

Quantitative food webs are valuable tools to detect patterns in community structure and generate hypotheses for experimentation. Quantitative webs of whole communities are usually not feasible to build, and most attention focuses on assemblages of species that interact in similar ways. Hosts and parasitoids are a popular guild for study, and quantitative webs have traditionally been constructed by collecting, rearing, and identifying large samples of individuals from the field. In the past decade molecular methods have begun to be used extensively in studies of host-parasitoid webs to clarify species concepts. We review how this rapidly developing field is using molecular information to detect cryptic interactions between species and to increase our understanding of the phylogenetic and mechanistic processes which structure food webs.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 25467127     DOI: 10.1016/j.pt.2014.10.008

Source DB:  PubMed          Journal:  Trends Parasitol        ISSN: 1471-4922


  10 in total

Review 1.  Insect symbionts in food webs.

Authors:  Ailsa H C McLean; Benjamin J Parker; Jan Hrček; Lee M Henry; H Charles J Godfray
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-09-05       Impact factor: 6.237

2.  Performance of DNA metabarcoding, standard barcoding, and morphological approach in the identification of host-parasitoid interactions.

Authors:  Martin Šigut; Martin Kostovčík; Hana Šigutová; Jiří Hulcr; Pavel Drozd; Jan Hrček
Journal:  PLoS One       Date:  2017-12-13       Impact factor: 3.240

3.  An effective molecular approach for assessing cereal aphid-parasitoid-endosymbiont networks.

Authors:  Zhengpei Ye; Ines M G Vollhardt; Susanne Girtler; Corinna Wallinger; Zeljko Tomanovic; Michael Traugott
Journal:  Sci Rep       Date:  2017-06-09       Impact factor: 4.379

4.  Unravelling mummies: cryptic diversity, host specificity, trophic and coevolutionary interactions in psyllid - parasitoid food webs.

Authors:  Aidan A G Hall; Martin J Steinbauer; Gary S Taylor; Scott N Johnson; James M Cook; Markus Riegler
Journal:  BMC Evol Biol       Date:  2017-06-06       Impact factor: 3.260

5.  DNA metabarcoding of spiders, insects, and springtails for exploring potential linkage between above- and below-ground food webs.

Authors:  Hirokazu Toju; Yuki G Baba
Journal:  Zoological Lett       Date:  2018-02-15       Impact factor: 2.836

6.  Molecular Tools for the Detection and the Identification of Hymenoptera Parasitoids in Tortricid Fruit Pests.

Authors:  Pierre Franck; Mariline Maalouly-Matar; Jérôme Olivares
Journal:  Int J Mol Sci       Date:  2017-09-22       Impact factor: 5.923

7.  Exposing the structure of an Arctic food web.

Authors:  Helena K Wirta; Eero J Vesterinen; Peter A Hambäck; Elisabeth Weingartner; Claus Rasmussen; Jeroen Reneerkens; Niels M Schmidt; Olivier Gilg; Tomas Roslin
Journal:  Ecol Evol       Date:  2015-08-24       Impact factor: 2.912

8.  Species composition and seasonal dynamics of aphid parasitoids and hyperparasitoids in wheat fields in northern China.

Authors:  Fan Yang; Lei Xu; Yue-Kun Wu; Qian Wang; Zhi-Wen Yao; Vladimir Žikić; Željko Tomanović; Mar Ferrer-Suay; Jesús Selfa; Juli Pujade-Villar; Michael Traugott; Nicolas Desneux; Yan-Hui Lu; Yu-Yuan Guo
Journal:  Sci Rep       Date:  2017-10-25       Impact factor: 4.379

9.  Landscape configuration affects herbivore-parasitoid communities in oilseed rape.

Authors:  Josef S Berger; Klaus Birkhofer; Helena I Hanson; Katarina Hedlund
Journal:  J Pest Sci (2004)       Date:  2018-02-24       Impact factor: 5.918

10.  Host specificity of parasitoids (Encyrtidae) toward armored scale insects (Diaspididae): Untangling the effect of cryptic species on quantitative food webs.

Authors:  Yao-Guang Qin; Qing-Song Zhou; Fang Yu; Xu-Bo Wang; Jiu-Feng Wei; Chao-Dong Zhu; Yan-Zhou Zhang; Alfried P Vogler
Journal:  Ecol Evol       Date:  2018-07-13       Impact factor: 2.912

  10 in total

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