Identifying plant DNA in the faeces of a generalist insect pest to inform trap cropping strategy

Nboyine, Jerry Asalma; Boyer, Stéphane; Saville, David J.; Wratten, Stephen D.

doi:10.1007/s13593-019-0603-1

Cited by 4 publications

(4 citation statements)

References 26 publications

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“…This requires that the larvae and adults are first associated via megabarcoding [62]. Even tools that were initially developed only for vertebrate detection via invertebrate derived DNA (iDNA) can now also be used for revealing species interactions between insects and vertebrates [63][64][65][66][67], and plants [68]. The study of iDNA is particularly scalable and cost-effective when applied to insect faeces or regurgitates, as neither substrate requires DNA extraction [69].…”

Section: Large-scale Natural History Datamentioning

confidence: 99%

Towards holistic insect monitoring: species discovery, description, identification and traits for all insects

Meier,

Hartop,

Pylatiuk

et al. 2024

Phil. Trans. R. Soc. B

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Holistic insect monitoring needs scalable techniques to overcome taxon biases, determine species abundances, and gather functional traits for all species. This requires that we address taxonomic impediments and the paucity of data on abundance, biomass and functional traits. We here outline how these data deficiencies could be addressed at scale. The workflow starts with large-scale barcoding (megabarcoding) of all specimens from mass samples obtained at biomonitoring sites. The barcodes are then used to group the specimens into molecular operational taxonomic units that are subsequently tested/validated as species with a second data source (e.g. morphology). New species are described using barcodes, images and short diagnoses, and abundance data are collected for both new and described species. The specimen images used for species discovery then become the raw material for training artificial intelligence identification algorithms and collecting trait data such as body size, biomass and feeding modes. Additional trait data can be obtained from vouchers by using genomic tools developed by molecular ecologists. Applying this pipeline to a few samples per site will lead to greatly improved insect monitoring regardless of whether the species composition of a sample is determined with images, metabarcoding or megabarcoding. This article is part of the theme issue ‘Towards a toolkit for global insect biodiversity monitoring’.

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Section: Large-scale Natural History Datamentioning

confidence: 99%

Towards holistic insect monitoring: species discovery, description, identification and traits for all insects

Meier,

Hartop,

Pylatiuk

et al. 2024

Phil. Trans. R. Soc. B

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“…Knight et al, 2019), but these methods fail to provide information on habitat features the individuals actually use. Alternatively, direct analyses of faeces, the use of stable isotopes or metabarcoding could allow identification of the plants consumed (Otte & Joern, 1976;Nboyine et al, 2019;Kheirodin, Sayari & Schmidt, 2021), Biological Reviews 99 (2024) 219-237 © 2023 Cambridge Philosophical Society.…”

Section: Theoretical Explanations For the Absence Of A Correlationmentioning

confidence: 99%

“…Knight et al ., 2019), but these methods fail to provide information on habitat features the individuals actually use. Alternatively, direct analyses of faeces, the use of stable isotopes or metabarcoding could allow identification of the plants consumed (Otte & Joern, 1976; Nboyine et al ., 2019; Kheirodin, Sayari & Schmidt, 2021), although such studies are scarce. A tractable alternative is to estimate the number of habitats potentially experienced by a single individual by comparing the mean dispersal distance travelled with environmental patchiness (Levins, 1968; Kassen, 2002).…”

Section: Theoretical Explanations For the Absence Of A Correlationmentioning

confidence: 99%

Understanding the joint evolution of dispersal and host specialisation using phytophagous arthropods as a model group

Ravigné,

Rodrigues,

Charlery de la Masselière

et al. 2023

Biological Reviews

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Theory generally predicts that host specialisation and dispersal should evolve jointly. Indeed, many models predict that specialists should be poor dispersers to avoid landing on unsuitable hosts while generalists will have high dispersal abilities. Phytophagous arthropods are an excellent group to test this prediction, given extensive variation in their host range and dispersal abilities. Here, we explore the degree to which the empirical literature on this group is in accordance with theoretical predictions. We first briefly outline the theoretical reasons to expect such a correlation. We then report empirical studies that measured both dispersal and the degree of specialisation in phytophagous arthropods. We find a correlation between dispersal and levels of specialisation in some studies, but with wide variation in this result. We then review theoretical attributes of species and environment that may blur this correlation, namely environmental grain, temporal heterogeneity, habitat selection, genetic architecture, and coevolution between plants and herbivores. We argue that theoretical models fail to account for important aspects, such as phenotypic plasticity and the impact of selective forces stemming from other biotic interactions, on both dispersal and specialisation. Next, we review empirical caveats in the study of this interplay. We find that studies use different measures of both dispersal and specialisation, hampering comparisons. Moreover, several studies do not provide independent measures of these two traits. Finally, variation in these traits may occur at scales that are not being considered. We conclude that this correlation is likely not to be expected from large‐scale comparative analyses as it is highly context dependent and should not be considered in isolation from the factors that modulate it, such as environmental scale and heterogeneity, intrinsic traits or biotic interactions. A stronger crosstalk between theoretical and empirical studies is needed to understand better the prevalence and basis of the correlation between dispersal and specialisation.

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“…A similar method was demonstrated to study other hymenopterans’ population genetics, such as bumblebees [ 23 ]. Insect feces were also used to detect insect taxa that are considered plant pathogens [ 24 ] and in investigations of other insect–host plant interactions [ 25 ]. A recent addition to the implementation of the Slovenian domestic queen breeding program [ 26 ] is sampling the queen feces for genotyping when queens are being collected for distribution among performance testers, thus making it possible to determine certain genetic parameters before the testing starts.…”

Section: Introductionmentioning

confidence: 99%

Non-Destructive Genotyping of Honeybee Queens to Support Selection and Breeding

Bubnič

Mole

Prešern

et al. 2020

Insects

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In traditional bee breeding, the honeybee queen is chosen for breeding based on the performance of the colony produced by its mother. However, we cannot be entirely certain that a specific queen will produce offspring with desirable traits until we observe the young queen’s new colony. Collecting the queen’s genetic material enables quick and reliable determination of the relevant information. We sampled exuviae, feces, and wingtips for DNA extraction to avoid fatally injuring the queen when using tissue samples. Quantity and purity of extracted DNA were measured. Two mitochondrial markers were used to determine the lineage affiliation and exclude possible contamination of DNA extracts with non-honeybee DNA. dCAPS (derived Cleaved Amplified Polymorphic Sequences) markers allowed detection of single nucleotide polymorphisms (SNPs) in nuclear DNA regions presumably associated with Varroa sensitive hygiene and set the example of successful development of genotyping protocol from non-destructive DNA sources. One of the logical future steps in honeybee breeding is introducing genomic selection and non-destructive sampling methods of genetic material may be the prerequisite for successful genotyping. Our results demonstrate that the extraction of DNA from feces and exuviae can be introduced into practice. The advantage of these two sources over wingtips is reducing the time window for processing the samples, thus enabling genotyping directly after the queen’s emergence.

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Identifying plant DNA in the faeces of a generalist insect pest to inform trap cropping strategy

Cited by 4 publications

References 26 publications

Towards holistic insect monitoring: species discovery, description, identification and traits for all insects

Towards holistic insect monitoring: species discovery, description, identification and traits for all insects

Understanding the joint evolution of dispersal and host specialisation using phytophagous arthropods as a model group

Non-Destructive Genotyping of Honeybee Queens to Support Selection and Breeding

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