Development of a multiprimer metabarcoding approach to understanding trophic interactions in agroecosystems
Ver/Abrir
Autor/a
Batuecas, Ivan
Castañe, Cristina
Piñol, Josep
Boyer, Stéphane
Gallardo-Montoya, Lorena
Agustí, Nuria
Fecha de publicación
2021-12-14ISSN
1672-9609
Resumen
To understand trophic interactions and the precise ecological role of each predatory species, it is important to know which arthropod and plant resources are used by generalist predators in agroecosystems. Molecular approaches, such as the use of high-throughput sequencing (HTS), play a key role in identifying these resources. This study develops a multiprimer metabarcoding approach for screening the most common trophic interactions of two predatory arthropods with contrasting morphologies, Rhagonycha fulva (Coleoptera: Cantharidae) and Anthocoris nemoralis (Hemiptera: Anthocoridae) collected from a peach crop. To reduce the time and cost of this metabarcoding approach, we first evaluated the effect of using two different predator-pools of different size (10 and 23 individuals of the same species). We also used our system to analyze the performance of one and two primer pairs in the same library. Our results show that the analysis of 23 individuals together with the use of two primer pairs in the same library optimize the HTS analysis. Using these best-performing conditions, we then analyzed the entire bodies of field-collected predators as well as the washing solutions used to clean the insect bodies. We were able to identify both gut content (i.e., diet) and external pollen load (i.e., on the insects’ bodies). This study also demonstrates the importance of washing predatory insects’ bodies prior to HTS analysis when the target species have a considerable size (>10 mm) and hairy structures. This metabarcoding approach has significant potential for the study of trophic links in agriculture, revealing expected and unexpected trophic relationships.
Tipo de documento
Artículo
Versión del documento
Versión aceptada
Lengua
Inglés
Materias (CDU)
632 - Enfermedades y protección de las plantas
Páginas
40
Publicado por
Wiley
Publicado en
Insect Science
Citación
Batuecas, Ivan, Oscar Alomar, Cristina Castañe, Josep Piñol, Stéphane Boyer, Lorena Gallardo‐Montoya, and Nuria Agustí. 2022. "Development Of A Multiprimer Metabarcoding Approach To Understanding Trophic Interactions In Agroecosystems". Insect Science. doi:10.1111/1744-7917.12992.
Número del acuerdo de la subvención
MINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2014-53970-C2-2-R/ES/EL PAISAJE EN EL CONTROL BIOLOGICO POR CONSERVACION EN FRUTALES DE HUESO/LANDFRUITBIOCON
Program
Protecció Vegetal Sostenible
Este ítem aparece en la(s) siguiente(s) colección(ones)
- ARTICLES CIENTÍFICS [2553]
Derechos
Copyright © 2021 Institute of Zoology, Chinese Academy of Sciences
El ítem tiene asociados los siguientes ficheros de licencia: