Literature DB >> 24303920

The detectability half-life in arthropod predator-prey research: what it is, why we need it, how to measure it, and how to use it.

Matthew H Greenstone1, Mark E Payton, Donald C Weber, Alvin M Simmons.   

Abstract

Molecular gut-content analysis enables detection of arthropod predation with minimal disruption of ecosystem processes. Most assays produce only qualitative results, with each predator testing either positive or negative for target prey remains. Nevertheless, they have yielded important insights into community processes. For example, they have confirmed the long-hypothesized role of generalist predators in retarding early-season build-up of pest populations prior to the arrival of more specialized predators and parasitoids and documented the ubiquity of secondary and intraguild predation. However, raw qualitative gut-content data cannot be used to assess the relative impact of different predator taxa on prey population dynamics: they must first be weighted by the relative detectability periods for molecular prey remains for each predator-prey combination. If this is not carried out, interpretations of predator impact will be biased towards those with the longest detectabilities. We review the challenges in determining detectability half-lives, including unstated assumptions that have often been ignored in the performance of feeding trials. We also show how detectability half-lives can be used to properly weight assay data to rank predators by their importance in prey population suppression, and how sets of half-lives can be used to test hypotheses concerning predator ecology and physiology. We use data from 32 publications, comprising 97 half-lives, to generate and test hypotheses on taxonomic differences in detectability half-lives and discuss the possible role of the detectability half-life in interpreting qPCR and next-generation sequencing data.
© 2013 John Wiley & Sons Ltd.

Keywords:  biological control; enzyme-linked immunosorbent assay; molecular gut-content analysis; polymerase chain reaction; predator-prey interactions

Mesh:

Substances:

Year:  2013        PMID: 24303920     DOI: 10.1111/mec.12552

Source DB:  PubMed          Journal:  Mol Ecol        ISSN: 0962-1083            Impact factor:   6.185


  17 in total

1.  Molecular Marker to Identify Diaphorina citri (Hemiptera: Liviidae) DNA in Gut Content of Predators.

Authors:  F Nanini; D H Maggio; P Ferronato; G Rugno; P T Yamamoto; A S Corrêa
Journal:  Neotrop Entomol       Date:  2019-11-09       Impact factor: 1.434

2.  Multiple endosymbiont infections and reproductive manipulations in a linyphiid spider population.

Authors:  M M Curry; L V Paliulis; K D Welch; J D Harwood; J A White
Journal:  Heredity (Edinb)       Date:  2015-04-22       Impact factor: 3.821

Review 3.  Methods to identify the prey of invertebrate predators in terrestrial field studies.

Authors:  Klaus Birkhofer; Helena Bylund; Peter Dalin; Olga Ferlian; Vesna Gagic; Peter A Hambäck; Maartje Klapwijk; Laia Mestre; Eve Roubinet; Martin Schroeder; Johan A Stenberg; Mario Porcel; Christer Björkman; Mattias Jonsson
Journal:  Ecol Evol       Date:  2017-02-22       Impact factor: 2.912

4.  The influence of meal size on prey DNA detectability in piscivorous birds.

Authors:  Bettina Thalinger; Johannes Oehm; Armin Obwexer; Michael Traugott
Journal:  Mol Ecol Resour       Date:  2017-10-14       Impact factor: 7.090

5.  Molecular gut content analysis of different spider body parts.

Authors:  Nuria Macías-Hernández; Kacie Athey; Vanina Tonzo; Owen S Wangensteen; Miquel Arnedo; James D Harwood
Journal:  PLoS One       Date:  2018-05-30       Impact factor: 3.240

6.  DNA Metabarcoding as a Tool for Disentangling Food Webs in Agroecosystems.

Authors:  Ahmadou Sow; Julien Haran; Laure Benoit; Maxime Galan; Thierry Brévault
Journal:  Insects       Date:  2020-05-11       Impact factor: 2.769

7.  The effect of plant identity and mixed feeding on the detection of seed DNA in regurgitates of carabid beetles.

Authors:  Daniela Sint; Yasemin Guenay; Rebecca Mayer; Michael Traugott; Corinna Wallinger
Journal:  Ecol Evol       Date:  2018-10-25       Impact factor: 2.912

8.  Predation on stink bugs (Hemiptera: Pentatomidae) in cotton and soybean agroecosystems.

Authors:  Kacie J Athey; John R Ruberson; Dawn M Olson; James D Harwood
Journal:  PLoS One       Date:  2019-03-26       Impact factor: 3.240

Review 9.  Conservation Biological Control of Pests in the Molecular Era: New Opportunities to Address Old Constraints.

Authors:  Geoff M Gurr; Minsheng You
Journal:  Front Plant Sci       Date:  2016-01-12       Impact factor: 5.753

10.  Molecular detection of field predation among larvae of two ladybird beetles is partially predicted from laboratory experiments.

Authors:  Gabriele Rondoni; Saleh Fenjan; Valeria Bertoldi; Fulvio Ielo; Khaled Djelouah; Chiaraluce Moretti; Roberto Buonaurio; Carlo Ricci; Eric Conti
Journal:  Sci Rep       Date:  2018-02-07       Impact factor: 4.379

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