Exploring trophic effects of spotted knapweed (Centaurea stoebe L.) on arthropod diversity using DNA metabarcoding

Foster, Jordann G.; Ploughe, Laura W.; Akin-Fajiye, Morodoluwa; Singh, Jayprakash; Bottos, Eric; Hamme, Jonathan D. Van; Fraser, Lauchlan H.

doi:10.1016/j.fooweb.2020.e00157

Cited by 5 publications

(3 citation statements)

References 53 publications

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“…Nets are a common tool for entomological surveys and different types of net have been used in combination with metabarcoding to investigate insect-plant trophic interactions (Foster et al, 2020), and biomonitoring (Pentinsaari et al, 2020;Svenningsen et al, 2021;Li et al, 2023). Furthermore, in a study by Svenningsen et al (2021), nets attached to the roof of cars were used to sample flying insects in Denmark.…”

Section: Nettingmentioning

confidence: 99%

“…This was compared against a long-term flying insect survey which used morphological identification (the Swedish Malaise Trap Project) and found a similar taxonomic composition overall. Foster et al (2020) collected bulk insect samples directly from spotted knapweed plants via sweep netting to assess the impact of knapweed on invertebrate communities. Details on practices to reduce contamination between samples collected using the same net are lacking, which is an important consideration for metabarcoding studies (Harwood, 2008).…”

Section: Nettingmentioning

confidence: 99%

“…Details on practices to reduce contamination between samples collected using the same net are lacking, which is an important consideration for metabarcoding studies (Harwood, 2008). There are multiple studies which either omit this information, or do not consider cross-contamination (Foster et al, 2020;Li et al, 2023). We recommend studies implement measures such as decontaminating nets between sampling, or using different nets for each sample.…”

Section: Nettingmentioning

confidence: 99%

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Metabarcoding advances agricultural invertebrate biomonitoring by enhancing resolution, increasing throughput, and facilitating network inference

Hawthorne,

Cuff,

Collins

et al. 2023

Preprint

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Biomonitoring of agriculturally important insects is increasingly important given our need to understand a) the severity of impacts by pests and pathogens on crop yield and health, and b) the impact of environmental change and land management on insects, in line with sustainable development and global conservation targets. Traditional entomological traps remain an important part of the biomonitoring toolbox, but their processing is laborious and introduces latency, and they are variably accurate. The integration of molecular techniques such as DNA metabarcoding into insect biomonitoring has gained increasing attention, but the advantages of doing so, the kind of data this can generate, and how easily and effectively molecular analyses can be integrated with the diverse types of entomological traps currently used remains relatively unclear. In this review, we examine how combining DNA metabarcoding with a range of conventional entomological sampling techniques can advance biomonitoring in a way that is useful to researchers and practitioners. We highlight some of the key challenges and how to mitigate them, using examples of its integration with different sampling methods from the literature (e.g. interception, pitfall, malaise, and sticky traps) to demonstrate efficacy and suitability. Finally, we discuss how these data can be used to infer ecological networks, emphasising the importance of this as a framework for understanding species interactions and ecosystem functioning for more effective and descriptive biomonitoring.

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