Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing
The lack of understanding of complex food-web interactions has been a major gap in the history of biological control. In particular, a better understanding of the functioning of pest food-webs and how they vary between native and invaded geographical ranges is of prime interest for biological con...
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doaj-17bb09794fdf45f7a3520a556a3ec2032020-11-25T00:12:02ZengPensoft PublishersMetabarcoding and Metagenomics 2534-97082017-10-01111910.3897/mbmg.1.1370913709Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencingMarie-Caroline Lefort0Stephen Wratten1Antonino Cusumano2Yann-David Varennes3Stephane Boyer4Bio-Protection Research CentreBio-Protection Research CentreWageningen UniversitymFondation Rurale InterjurassienneUnitec Institute of Technology The lack of understanding of complex food-web interactions has been a major gap in the history of biological control. In particular, a better understanding of the functioning of pest food-webs and how they vary between native and invaded geographical ranges is of prime interest for biological control research and associated integrated pest management. Technical limitations associated with the deciphering of complex food-webs can now be largely overcome by the use of high throughput DNA sequencing techniques such as Illumina MiSeq. We tested the efficiency of this next generation sequencing technology in a metabarcoding approach, to study aphid food-webs using the cabbage aphid as model. We compared the variations in structure and composition of aphid food-webs in the species’ native range (United Kingdom, UK) and in an invaded range (New Zealand, NZ). We showed that Illumina MiSeq is a well suited technology to study complex aphid food-webs from aphid mummies. We found an unexpectedly high top down pressure in the NZ cabbage aphid food-web, which coupled to a large ratio of consumer species / prey species and a lack of potential inter-specific competition between primary parasitoids, could cause the NZ food-web to be more vulnerable than the UK one. This study also reports for the first time the occurrence of a new hyperparasitoid species in NZ, as well as new associations between hyperparasitoids parasitoids and the cabbage aphid in this country. We conclude that the complexity of aphid food-webs in agricultural systems could often be underestimated, particularly at higher trophic levels; and that the use of high throughput DNA sequencing tools, could largely help to overcome this impediment. https://mbmg.pensoft.net/article/13709/metabarcodingbiological controlenemy releas |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Marie-Caroline Lefort Stephen Wratten Antonino Cusumano Yann-David Varennes Stephane Boyer |
spellingShingle |
Marie-Caroline Lefort Stephen Wratten Antonino Cusumano Yann-David Varennes Stephane Boyer Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing Metabarcoding and Metagenomics metabarcoding biological control enemy releas |
author_facet |
Marie-Caroline Lefort Stephen Wratten Antonino Cusumano Yann-David Varennes Stephane Boyer |
author_sort |
Marie-Caroline Lefort |
title |
Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing |
title_short |
Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing |
title_full |
Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing |
title_fullStr |
Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing |
title_full_unstemmed |
Disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput DNA sequencing |
title_sort |
disentangling higher trophic level interactions in the cabbage aphid food web using high-throughput dna sequencing |
publisher |
Pensoft Publishers |
series |
Metabarcoding and Metagenomics |
issn |
2534-9708 |
publishDate |
2017-10-01 |
description |
The lack of understanding of complex food-web interactions has been a major gap in the history of biological control. In particular, a better understanding of the functioning of pest food-webs and how they vary between native and invaded geographical ranges is of prime interest for biological control research and associated integrated pest management. Technical limitations associated with the deciphering of complex food-webs can now be largely overcome by the use of high throughput DNA sequencing techniques such as Illumina MiSeq. We tested the efficiency of this next generation sequencing technology in a metabarcoding approach, to study aphid food-webs using the cabbage aphid as model. We compared the variations in structure and composition of aphid food-webs in the species’ native range (United Kingdom, UK) and in an invaded range (New Zealand, NZ). We showed that Illumina MiSeq is a well suited technology to study complex aphid food-webs from aphid mummies. We found an unexpectedly high top down pressure in the NZ cabbage aphid food-web, which coupled to a large ratio of consumer species / prey species and a lack of potential inter-specific competition between primary parasitoids, could cause the NZ food-web to be more vulnerable than the UK one. This study also reports for the first time the occurrence of a new hyperparasitoid species in NZ, as well as new associations between hyperparasitoids parasitoids and the cabbage aphid in this country. We conclude that the complexity of aphid food-webs in agricultural systems could often be underestimated, particularly at higher trophic levels; and that the use of high throughput DNA sequencing tools, could largely help to overcome this impediment.
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topic |
metabarcoding biological control enemy releas |
url |
https://mbmg.pensoft.net/article/13709/ |
work_keys_str_mv |
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