Comparison of intestinal bacterial and fungal communities across various xylophagous beetle larvae (Coleoptera: Cerambycidae)

Scientific Reports, Journal Year: 2018, Volume and Issue: 8(1)

Published: June 27, 2018

The microbial gut communities associated with various xylophagous beetles offer great potential for different biotechnologies and elaboration of novel pest management strategies. In this research, the intestinal bacterial fungal cerambycid larvae, including Acmaeops septentrionis, Acanthocinus aedilis, Callidium coriaceum, Trichoferus campestris Chlorophorus herbstii, were investigated. these Cerambycidae species mostly represented by members phyla Proteobacteria Actinobacteria phylum Ascomycota. However, varied beetle between individual organisms. Furthermore, communities' metagenomes reconstruction indicated genes that encode enzymes involved in lignocellulose degradation (such as peroxidases, alpha-L-fucosidases, beta-xylosidases, beta-mannosidases, endoglucanases, beta-glucosidases others) nitrogen fixation (nitrogenases). Most predicted potentially related to enriched T. campestris, A. aedilis septentrionis larval consortia, whereas affiliated nitrogenase component proteins C. herbstii consortia. Several bacteria fungi detected current work could be nutrition larvae.

Language: Английский

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A deep learning model to recognize food contaminating beetle species based on elytra fragments

Computers and Electronics in Agriculture, Journal Year: 2019, Volume and Issue: 166, P. 105002 - 105002

Published: Sept. 23, 2019

Insect pests are often associated with food contamination and public health risks. Accurate timely species-specific identification of is a key step to scale impacts, trace back the process promptly set intervention measures, which usually have serious economic impact. The current procedure involves visual inspection by human analysts pest fragments recovered from samples, time-consuming error-prone process. Deep Learning models been widely applied for image recognition, outperforming other machine learning algorithms; however only few studies deep detection. In this paper, we describe our solution automatic 15 storage product beetle species frequently detected in inspection. Our approach based on convolutional neural network trained dataset 6900 microscopic images elytra fragments, obtaining an overall accuracy 83.8% cross validation. Notably, classification performance obtained without need designing selecting domain specific features, thus demonstrating promising prospects detecting contamination.

Language: Английский

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Investigating beetle communities in and around entry points can improve surveillance at national and international scale

NeoBiota, Journal Year: 2023, Volume and Issue: 85, P. 145 - 165

Published: June 22, 2023

Beetles are commonly moved among continents with international trade. Baited traps set up in and around entry points used to increase chances of early-detection incoming species complement visual inspections. A still underestimated benefit this surveillance approach is the high number diversity collected bycatch species. In study, we exploited a multiyear program carried out baited at five Spanish ports their surrounding natural areas investigate i) importance identifying more promptly detect nonnative belonging non-target groups; ii) patterns native richness abundance inside port vs. areas; iii) occurrence spillover events between areas, iv) whether most introduced into other countries abundant than areas. total 23,538 individuals from 206 representing 33 families were collected. The taxonomic 26 beetle testified that identification these unintentionally trapped can provide additional information on ongoing invasions. Patterns highlighted differential ability different colonize Finally, surroundings, while opposite trend occurred for have not been elsewhere. Our study use generic attractants aid species, useful risk introduction countries.

Language: Английский

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Exploring pest mitigation research and management associated with the global wood packaging supply chain: What and where are the weak links?

Biological Invasions, Journal Year: 2023, Volume and Issue: 25(8), P. 2395 - 2421

Published: May 11, 2023

Abstract Global trade continues to increase in volume, speed, geographic scope, diversity of goods, and types conveyances, which has resulted a parallel both quantity pathways available for plant pests move via trade. Wood packaging material (WPM) such as dunnage, pallets, crates, spools, is an integral part the global supply chain due its function containing, protecting, supporting movement traded commodities. The use untreated solid wood WPM introduces risk boring wood-infesting organisms into chain, while handling storage conditions treated presents post-treatment contamination by surface-adhering or sheltering pests. wood-boring -infesting pest risks intrinsic pathway were addressed 2002 adoption 2009 revision ISPM 15, was first implemented 2005–2006 North America. Although this initiative been widely implemented, some still occurs combination factors including; fraud, material, insufficient- incomplete- treatment, contamination. Here we examine forest-to-recycling production utilization with respect dynamics contaminating incidence within environments international provide opportunities improvements reduction. We detail discuss each step current systems place, regulatory environments. knowledge gaps, research recommendations step. This big picture perspective allows full system review where new improved management strategies could be explored improve our regulations.

Language: Английский

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Pheromone-enhanced lure blends and multiple trap heights improve detection of bark and wood-boring beetles potentially moved in solid wood packaging

Journal of Pest Science, Journal Year: 2018, Volume and Issue: 92(1), P. 309 - 325

Published: July 19, 2018

Language: Английский

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Exploiting trap color to improve surveys of longhorn beetles

Journal of Pest Science, Journal Year: 2020, Volume and Issue: 94(3), P. 871 - 883

Published: Dec. 7, 2020

Abstract Longhorn beetles are commonly moved among continents within wood packaging materials used in trades. Visual inspections carried out at points of entry often fail to detect exotic longhorn as infested may have little or no sign colonization. Black-colored traps baited with pheromones and host volatiles thus improve chances detection. Here we tested whether existing surveillance protocols for can be further improved using trap colors different than black. Baited eight (i.e., grey, yellow, green, red, blue, brown, purple black) were deployed a randomized complete block design 16 sites northern Italy 2019. A total 6,001 individuals from 56 beetle species trapped. In general, yellow blue caught significantly higher number black traps. addition, color affected richness abundance the subfamily level, mixed response mostly linked habit visiting flowers food. Flower-visiting mainly exhibited clear preference flower-related colors, i.e., green whereas non-flower-visiting more attracted by dark long-wavelength-dominated like red brown. Our results clearly indicate that generic programs should not rely exclusively on use strongly chance detecting native potentially

Language: Английский

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Efficacy of unbaited and baited green multi-funnel traps for detection of Agrilus species and other wood-boring beetle taxa

Journal of Pest Science, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 21, 2025

Language: Английский

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Validating a variable-instar, climate-based phenology model for the Asian longhorned beetle (Coleoptera: Cerambycidae) using field data from South Carolina

Environmental Entomology, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

Abstract The Asian longhorned beetle, Anoplophora glabripennis (ALB, Coleoptera: Cerambycidae), is a federally regulated invasive species capable of infesting several different genera hardwood trees. Accurate knowledge ALB’s phenology critical for the effective implementation management and eradication plans. We updated ALBLT prediction model used empirical data collected in South Carolina, USA to validate v. 2.0. new largely agreed with ALB life stages found field collections, except late instars pupae. also ran at 8 other potentially high-risk cities contiguous United States latitudes ranging from 28°N (Tampa, FL) 41°N (Chicago, IL) predict how long single generation might take develop these environments. Model predictions ranged 2–3-yr lifecycle Chicago potential cycle < 1 yr Tampa. These can help inform managers specialists should be environments, aid developing an adequate plan.

Language: Английский

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Establishment of non-native Anoplophora horsfieldii (Coleoptera: Cerambycidae) in South Korea

Journal of Integrated Pest Management, Journal Year: 2023, Volume and Issue: 14(1)

Published: Jan. 1, 2023

Abstract The genus Anoplophora (Coleoptera: Cerambycidae) is among the most well-known insect genera in invasive entomology and represented by 2 noted alien species: Asian longhorned beetle (Anoplophora glabripennis (Motschulsky, 1854)) Citrus chinensis (Forster, 1771)). In this study, a new non-native species belonging to Anoplophora, horsfieldii (Hope, 1843), has been discovered on Jeju Island, South Korea (33°30′N, 126°30′E). Our field survey of established area potential habitats nearby identified numerous adult beetles exit holes its host, Celtis sinensis Persoon, 1805. This finding emphasizes importance continued monitoring management species, which cause significant ecological economic damage.

Language: Английский

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Shape as a Key to Taxonomy: Morphometric Analysis of Tetropium Species (Coleoptera: Cerambycidae)

Insects, Journal Year: 2025, Volume and Issue: 16(4), P. 386 - 386

Published: April 4, 2025

The study of shape by the use geometric morphometrics has been an important tool for addressing taxonomic challenges in complex groups like genus Tetropium Kirby, 1837 (Coleoptera, Cerambycidae). This insect includes 28 species, 8 which are found North America, with invasive T. fuscum (Fabricius) posing a significant quarantine risk as pest coniferous trees. present evaluated to analyze pronotum females nine species genus, showing effectiveness this distinguishing between species. Even if some overlaps were research highlights potential GM developing monitoring, managements, and integrated management programs. Our findings suggest that comprehensive database landmarks, encompassing broader geographic ecological diversity, could further improve identification at ports entry facilitate trade.

Language: Английский

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