Evidence map›Paper›PMID 38989842›Full record

ArticleJournal of insect science (Online)2024

A molecular approach to unravel trophic interactions between parasitoids and hyperparasitoids associated with pecan aphids.

Eddie K Slusher, Ted Cottrell, Tara Gariepy, Angelita Acebes-Doria, Marina Querejeta Coma, Pedro F S Toledo, Jason M Schmidt

Abstract read
In one paragraph

Article in Journal of insect science (Online), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Eddie K SlusherDepartment of Entomology, University of Georgia, Tifton, GA, USA.ORCID 0000-0003-1665-8715
Ted CottrellUSDA-ARS Southeastern Fruit and Tree Nut Research Laboratory, Byron, GA, USA.ORCID 0000-0002-4890-9438
Tara GariepyAgriculture and Agri-Food Canada, London, ON, Canada.
Angelita Acebes-DoriaUSDA-ARS Pacific Basin Agricultural Research Center, Hilo, Hawaii, USA.ORCID 0000-0001-5655-5097
Marina Querejeta ComaInstitut de Recherche sur la Biologie de l'Insecte (IRBI), Université de Tours, Tours, France.
Pedro F S ToledoDepartment of Entomology, University of Georgia, Tifton, GA, USA.ORCID 0000-0002-5522-8606
Jason M SchmidtDepartment of Entomology, University of Georgia, Tifton, GA, USA.ORCID 0000-0002-8119-856X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in molecular ecology can overcome many challenges in understanding host-parasitoid interactions. Genetic characterization of the key-players in systems helps to confirm species and identify trophic linkages essential for ecological service delivery by biological control agents; however, relatively few agroecosystems have been explored using this approach. Pecan production consists of a large tree perennial system containing an assortment of seasonal pests and natural enemies. As a first step to characterizing host-parasitoid associations in pecan food webs, we focus on aphid species and their parasitoids. Based on DNA barcoding of field-collected and reared specimens, we confirmed the presence of 3 species of aphid, one family of primary parasitoids, and 5 species of hyperparasitoids. By applying metabarcoding to field-collected aphid mummies, we were able to identify multiple species within each aphid mummy to unravel a complex food web of 3 aphids, 2 primary parasitoids, and upward of 8 hyperparasitoid species. The results of this study demonstrate that multiple hyperparasitoid species attack a single primary parasitoid of pecan aphids, which may have negative consequences for successful aphid biological control. Although further research is needed on a broader spatial scale, our results suggest multiple species exist in this system and may suggest a complex set of interactions between parasitoids, hyperparasitoids, and the 3 aphid species. This was the first time that many of these species have been characterized and demonstrates the application of novel approaches to analyze the aphid-parasitoid food webs in pecans and other tree crop systems.

Indexed as

AphidsFood ChainHost-Parasite InteractionsAnimalsCaryaDNA Barcoding, TaxonomicWaspsAphelinus perpallidusaphid-parasitoid interactionsMelanocallis caryaefoliaeMonellia caryellaMonelliopsis pecanis

Identifiers

PMID38989842
PMCPMC11237992

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.