Detecting Ingested Host Plant DNA in Potato Leafhopper (Hemiptera: Cicadellidae): Potential Use of Molecular Markers for Gut Content Analysis

Molecular Diet Analysis of Leaf-Grazing Katydids Based on DNA Barcoding

The diversity of herbivorous insects is associated with host plant diversity. The determination of dietary profile is a central topic in insect ecology. DNA barcoding, that is, taxon identification using a standardized DNA region, have been important to the recent advances in food web understandings. In this study, three commonly plant barcoding loci (i.e., rbcL, matK, and trnH-psbA) were chosen for screening of ingested plant DNA in 207 specimens of 18 leaf-grazing katydid species representing 4 subfamilies in China. The obtained sequences were queried against the Barcode of Life Database (BOLD) and GenBank for taxa identification. The results of identification were as follow: 3 Conocephalinae species consumed 10 plant families, with preference for Poaceae; 1 Mecopodinae species consumed 18 plant families, with preference for Fabaceae and Vitaceae; 11 Phaneropterinae species consumed 43 plant families, with preference for Juglandaceae; 3 species Pseudophyllinae species consumed 9 plant families, with preference for Balsaminaceae. Among these, only 81 out of 207 samples were identified at the species level when compares with NCBI and BOLD database. Our study added a significant amount of dietary information for leaf-grazing katydids in China. It is crucial to fully understand coevolution of katydids and plant, katydids diet resource requirements, and best practices for habitat conservation.

Inferring Tripartite Associations of Vector-Borne Plant Pathogens Using a Next-Generation Sequencing Approach

Phytoplasmas are a group of plant-pathogenic, cell-wall-less bacteria vectored primarily by leafhoppers (Hemiptera Cicadellidae), one of the most diverse families of insects. Despite the importance of documenting associations between phytoplasmas, their insect vectors, and plant hosts to prevent disease outbreaks, such knowledge is currently highly incomplete and largely neglects the diversity of the system in natural areas. Here, we used anchored hybrid enrichment (AHE) to recover the DNA of five plant genes (rbcL, matK, ITS1, ITS2, and trnH-psbA) in 58 phloem-feeding leafhoppers from around the world that had previously tested positive for phytoplasma infection. Using BLASTn and a strict filtering approach, we assigned taxonomic classifications to the plant sequences and tested for cophylogenetic signals between potential Deltocephalinae leafhopper vectors and their associated plants. We observed incongruence between plant and insect phylogenies. Many leafhopper species, including presumed grass specialists, fed on distantly related plant lineages; 66% of sampled leafhoppers fed on plants from at least two different orders. By disentangling phytoplasma-leafhopper-plant interactions, we identify locations at risk of phytoplasma disease outbreaks. Furthermore, the observed wide diet breadth raises questions about how phytoplasma infection may manipulate the feeding preference of their insect host and helps fill the gaps in understanding the ecology and diversification of the tripartite association.

High-throughput molecular gut content analysis of aphids identifies plants relevant for potato virus Y epidemiology

Aphids are phloem-feeding insects that reduce crop productivity due to feeding and transmission of plant viruses. When aphids disperse across the landscape to colonize new host plants, they will often probe on a wide variety of nonhost plants before settling on a host suitable for feeding and reproduction. There is limited understanding of the diversity of plants that aphids probe on within a landscape, and characterizing this diversity can help us better understand host use patterns of aphids. Here, we used gut content analysis (GCA) to identify plant genera that were probed by aphid vectors of potato virus Y (PVY). Aphids were trapped weekly near potato fields during the growing seasons of 2020 and 2021 in San Luis Valley in Colorado. High-throughput sequencing of plant barcoding genes, trnF and ITS2, from 200 individual alate (i.e., winged) aphids representing nine vector species of PVY was performed using the PacBio sequencing platform, and sequences were identified to genus using NCBI BLASTn. We found that 34.7% of aphids probed upon presumed PVY host plants and that two of the most frequently detected plant genera, Solanum and Brassica, represent important crops and weeds within the study region. We found that 75% of aphids frequently probed upon PVY nonhosts including many species that are outside of their reported host ranges. Additionally, 19% of aphids probed upon more than one plant species. This study provides the first evidence from high-throughput molecular GCA of aphids and reveals host use patterns that are relevant for PVY epidemiology.

Diverse Host Plants of the First Instars of the Invasive Lycorma delicatula: Insights from eDNA Metabarcoding

Identification of host plants of the invasive spotted lanternfly, Lycorma delicatula (Hemiptera: Fulgoridae), has been the focus of many studies. While the adults and late nymphs are relatively easy to observe on plants and to use for molecular gut-content analysis, studying the early instars is more challenging. This study is the continuation of our ongoing efforts to determine the host range for each developmental stage of L. delicatula. In the present study, we focused exclusively on the first nymphal instars, and we used a novel approach, utilizing "bulk" DNA extracts for DNA metabarcoding of nymphal gut contents, to identify all the detectable plants that the nymphs had ingested prior to being collected. We were able to obtain high-quality amplicons (up to 406 bp) of a portion of the rbcL gene and detect 27 unique ingested plant species belonging to 17 families. Both native and introduced plants with the prevalence of trees and grasses were present among the ingested plants. We also identified 13 novel host plants that have not been previously reported for L. delicatula on the U.S. territory. The results from our study have important applications for developing effective programs on early monitoring of invasive L. delicatula.

A Detection Assay to Identify Alternative Food Sources of the Two-Spotted Stink Bug, Bathycoelia distincta (Hemiptera: Pentatomidae)

The two-spotted stink bug, Bathycoelia distincta Distant (Hemiptera: Pentatomidae), is a serious pest in South African macadamia orchards. This pest is predominantly controlled using insecticides, thus alternative control methods are essential. The stink bugs arrive as adults in the orchards, during the early nut set season, but little is known about their alternative plant hosts before their arrival. The aim of this study was to develop a PCR-based metabarcoding assay to identify plant material in the gut of B. distincta. Thereafter, the persistence of plant DNA in the gut, after switching food sources, was determined by rearing the stink bugs on Zea mays L. (Cyperales: Poaceae), transferring them to Macadamia sp. and then collecting insects at different time points. As a proof of concept, the assay was tested on insects collected from commercial macadamia orchards to determine if it can identify alternative food sources. The chloroplast gene markers, trnL and trnF, were most successful for plant DNA amplification. The time trial suggested that plant material can be detected 24 h after switching to the alternate food source and one of the samples still contained Z. mays DNA after five days. Various plant species were detected from the orchard collected samples, including known food sources of other stink bugs, such as tea plants (Camellia sinensis L. (Ericales:Theaceae)) and sunflowers (Helianthus annuus L. (Asterales: Asteraceae)). This study provides the first indication of potential alternative food sources of B. distincta. The assay developed in this study can now be implemented for large-scale field surveys to contribute to future integrated pest management strategies.

Identification of Potential Host Plants of Sap-Sucking Insects (Hemiptera: Cicadellidae) Using Anchored Hybrid By-Catch Data

Reliable host plant records are available for only a small fraction of herbivorous insect species, despite their potential agricultural importance. Most available data on insect-plant associations have been obtained through field observations of occurrences of insects on particular plants. Molecular methods have more recently been used to identify potential host plants using DNA extracted from insects, but most prior studies using these methods have focused on chewing insects that ingest tissues expected to contain large quantities of plant DNA. Screening of Illumina data obtained from sap feeders of the hemipteran family Cicadellidae (leafhoppers) using anchored hybrid enrichment indicates that, despite feeding on plant fluids, these insects often contain detectable quantities of plant DNA. Although inclusion of probes for bacterial 16S in the original anchored hybrid probe kit yielded relatively high detection rates for chloroplast 16S, the Illumina short reads also, in some cases, included DNA for various plant barcode genes as "by-catch". Detection rates were generally only slightly higher for Typhlocybinae, which feed preferentially on parenchyma cell contents, compared to other groups of leafhoppers that feed preferentially on phloem or xylem. These results indicate that next-generation sequencing provides a powerful tool to investigate the specific association between individual insect and plant species.

Choosing an Effective PCR-Based Approach for Diet Analysis of Insect Herbivores: A Systematic Review

Identification of ingested plant species using polymerase chain reaction (PCR)-based methods is an increasingly useful yet challenging approach to accurately determine the diet composition of insect herbivores and thus their trophic interactions. A typical process of detection of DNA of ingested plants involves the choice of a DNA extraction method, a genomic target region, and/or the best approach for an accurate plant species identification. The wide range of available techniques makes the choice of the most appropriate method for an accurately and timely identification of ingested plants from insect guts difficult. In our study, we reviewed the commonly used PCR-based approaches in studies published from 1977 to 2019, to provide researchers with the information on the tools which have been shown to be effective for obtaining and identifying ingested plants. Our results showed that among five insect orders used in the retrieved studies Coleoptera and Hemiptera were prevalent (33 and 28% of all the records, respectively). In 79% of the studies a DNA barcoding approach was employed. In a substantial number of studies Qiagen DNA extraction kits and CTAB protocol were used (43 and 23%, respectively). Of all records, 65% used a single locus as a targeted plant DNA fragment; trnL, rbcL, and ITS regions were the most frequently used loci. Sequencing was the dominant type of among DNA verification approaches (70% of all records). This review provides important information on the availability of successfully used PCR-based approaches to identify ingested plant DNA in insect guts, and suggests potential directions for future studies on plant-insect trophic interactions.