Literature DB >> 21565112

Maximizing collection and minimizing risk: does vacuum suction sampling increase the likelihood for misinterpretation of food web connections?

Eric G Chapman1, Susan A Romero, James D Harwood.   

Abstract

Molecular tools that characterize the structure of complex food webs and identify trophic connectedness in the field have become widely adopted in recent years. However, characterizing the intensity of predator-prey interactions can be prone to error. Maximizing collection success of small, fast-moving predators with vacuum suction samplers has the potential to increase the likelihood of prey DNA detection either through surface-level contamination with damaged prey or direct consumption within the sampling device. In this study, we used PCR to test the hypothesis that vacuum suction sampling will not cause an erroneous increase in the detection of 'predation', thereby incorrectly assigning trophic linkages when evaluating food web structure. We utilized general (1) Aphidoidea and (2) Collembola primers to measure the predation rates of Glenognatha foxi (Araneae: Tetragnathidae) on these prey collected by hand versus those sampled with a vacuum suction device. With both primer pairs, there was no significant increase in predators screening positive for prey DNA when sampled by vacuum suction versus those predators collected, in parallel, by hand. These results clearly validate the application of vacuum suction sampling during molecular gut-content analysis of predator-prey feeding linkages in the field. Furthermore, we found no evidence that predation was occurring inside the suction sampler because specimens collected were never observed to be feeding nor did they screen positive at greater frequencies than hand-collected individuals. Therefore, it can be concluded that the use of vacuum suction sampling devices (in this case a Modified CDC Backpack Aspirator Model 1412) is suitable for molecular gut-content analysis.
© 2010 Blackwell Publishing Ltd.

Entities:  

Year:  2010        PMID: 21565112     DOI: 10.1111/j.1755-0998.2010.02857.x

Source DB:  PubMed          Journal:  Mol Ecol Resour        ISSN: 1755-098X            Impact factor:   7.090


  6 in total

1.  Application of a novel method PCR-ligase detection reaction for tracking predator-prey trophic links in insect-resistant GM rice ecosystem.

Authors:  Kai Li; Junce Tian; Qinxi Wang; Qiang Chen; Mao Chen; Huan Wang; Yuxun Zhou; Yufa Peng; Junhua Xiao; Gongyin Ye
Journal:  Ecotoxicology       Date:  2011-09-14       Impact factor: 2.823

2.  The ubiquity of intraguild predation among predatory arthropods.

Authors:  Annie-Ève Gagnon; George E Heimpel; Jacques Brodeur
Journal:  PLoS One       Date:  2011-11-23       Impact factor: 3.240

3.  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

4.  Deciphering the diet of a wandering spider (Phoneutria boliviensis; Araneae: Ctenidae) by DNA metabarcoding of gut contents.

Authors:  Diego Sierra Ramírez; Giovany Guevara; Lida Marcela Franco Pérez; Arie van der Meijden; Julio César González-Gómez; Juan Carlos Valenzuela-Rojas; Carlos Fernando Prada Quiroga
Journal:  Ecol Evol       Date:  2021-03-06       Impact factor: 2.912

5.  Optimizing methods for PCR-based analysis of predation.

Authors:  Daniela Sint; Lorna Raso; Rüdiger Kaufmann; Michael Traugott
Journal:  Mol Ecol Resour       Date:  2011-04-20       Impact factor: 7.090

6.  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

  6 in total

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