Forestry Pests Research Articles

Parasitoids associated with ambrosia beetles in the Euwallacea fornicatus species complex (Coleoptera: Curculionidae: Scolytinae) in Taiwan

ABSTRACT Several species of ambrosia beetles in the genera Euwallacea, Xyleborus, and Xylosandrus (Coleoptera: Curculionidae: Scolytinae) are considered major pests in agriculture, forestry and urban areas. Their concealed lifestyle allows them to evade detection, and increases their chances of being introduced to non-native regions. Their reproduction is dominated by sibling mating within maternal galleries, and this behaviour makes them difficult to control. Although a handful of studies have identified natural enemies associated with ambrosia beetles, very few have done this with the goal of creating a classical biological control programme. In this study, we sought to identify hymenopteran parasitoids associated with the invasive Euwallacea fornicatus species complex. We collected branches from infested trees in a native region in Taiwan, recorded parasitoid emergence, and attempted to rear any emerging parasitoids using laboratory reared hosts and experimentally infested logs. We identified three species of parasitoid wasps that successfully parasitised beetles in the E. fornicatus species complex. These species were all new to science belonging to the genera Eucosmophorus (Braconidae), Phymastichus (Eulophidae), and Plastanoxus (Bethylidae).

The promoting effects of pyriproxyfen on autophagy and apoptosis in silk glands of non-target insect silkworm, Bombyx mori

Pyriproxyfen is a juvenile hormone analogue. The physiological effects of its low-concentration drift during the process of controlling agricultural and forestry pests on non-target organisms in the ecological environment are unpredictable, especially the effects on organs that play a key role in biological function are worthy of attention. The silk gland is an important organ for silk-secreting insects. Herein, we studied the effects of trace pyriproxyfen on autophagy and apoptosis of the silk gland in the lepidopteran model insect, Bombyx mori (silkworm). After treating fifth instar silkworm larvae with pyriproxyfen for 24 h, we found significant shrinkage, vacuolization, and fragmentation in the posterior silk gland (PSG). In addition, the results of autophagy-related genes of ATG8 and TUNEL assay also demonstrated that autophagy and apoptosis in the PSG of the silkworm was induced by pyriproxyfen. RNA-Seq results showed that pyriproxyfen treatment resulted in the activation of juvenile hormone signaling pathway genes and inhibition of 20-hydroxyecdysone (20E) signaling pathway genes. Among the 1808 significantly differentially expressed genes, 796 were upregulated and 1012 were downregulated. Among them, 30 genes were identified for autophagy-related signaling pathways, such as NOD-like receptor signaling pathway and mTOR signaling pathway, and 30 genes were identified for apoptosis-related signaling pathways, such as P53 signaling pathway and TNF signaling pathway. Further qRT-PCR and in vitro gland culture studies showed that the autophagy-related genes Atg5, Atg6, Atg12, Atg16 and the apoptosis-related genes Aif, Dronc, Dredd, and Caspase1 were responsive to the treatment of pyriproxyfen, with transcription levels up-regulated from 24 to 72 h. In addition, ATG5, ATG6, and Dronc genes had a more direct response to pyriproxyfen treatment. These results suggested that pyriproxyfen treatment could disrupt the hormone regulation in silkworms, promoting autophagy and apoptosis in the PSG. This study provides more evidence for the research on the damage of juvenile hormone analogues to non-target organisms or organs in the environment, and provides reference information for the scientific and rational use of juvenile hormone pesticides.

Skip DETR: end-to-end Skip connection model for small object detection in forestry pest dataset.

Object detection has a wide range of applications in forestry pest control. However, forest pest detection faces the challenges of a lack of datasets and low accuracy of small target detection. DETR is an end-to-end object detection model based on the transformer, which has the advantages of simple structure and easy migration. However, the object query initialization of DETR is random, and random initialization will cause the model convergence to be slow and unstable. At the same time, the correlation between different network layers is not strong, resulting in DETR is not very ideal in small object training, optimization, and performance. In order to alleviate these problems, we propose Skip DETR, which improves the feature fusion between different network layers through skip connection and the introduction of spatial pyramid pooling layers so as to improve the detection results of small objects. We performed experiments on Forestry Pest Datasets, and the experimental results showed significant AP improvements in our method. When the value of IoU is 0.5, our method is 7.7% higher than the baseline and 6.1% higher than the detection result of small objects. Experimental results show that the application of skip connection and spatial pyramid pooling layer in the detection framework can effectively improve the effect of small-sample obiect detection.

Low concentration of indoxacarb interferes with the growth and development of silkworm by damaging the structure of midgut cells

As an important economic insect, Bombyx mori plays an essential role in the development of the agricultural economy. Indoxacarb, a novel sodium channel blocker insecticide, has been widely used for the control of various pests in agriculture and forestry, and its environmental pollution caused by flight control operations has seriously affected the safe production of sericulture in recent years. However, the lethal toxicity and adverse effects of indoxacarb on silkworm remain largely unknown. In this study, the toxicity of indoxacarb on the 5th instar larvae of silkworm was determined, with an LC50 (72 h) of 2.07 mg/L. Short-term exposure (24 h) to a low concentration of indoxacarb (1/2 LC50) showed significantly reduced body weight and survival rate of silkworm larvae. In addition, indoxacarb also led to decreased cocoon weight and cocoon shell weight, but had no significant effects on pupation, adult eclosion, and oviposition. Histopathological and ultrastructural analysis indicated that indoxacarb could severely damage the structure of the midgut epithelial cells, and lead to physiological impairment of the midgut. A total of 3883 differentially expressed genes (DEGs) were identified by midgut transcriptome sequencing and functionally annotated using GO and KEGG. Furthermore, the transcription level and enzyme activity of the detoxification related genes were determined, and our results suggested that esterases (ESTs) might play a major role in metabolism of indoxacarb in the midgut of B. mori. Future studies to examine the detoxification or biotransformation function of candidate genes will greatly enhance our understanding of indoxacarb metabolism in B. mori. The results of this study provide a theoretical basis for elucidating the mechanism of toxic effects of indoxacarb on silkworm by interfering with the normal physiological functions of the midgut.

Chromosome-Scale Genome Assembly of the Solitary Parasitoid Wasp Microplitis manilae Ashmead, 1904 (Braconidae: Microgastrinae).

Parasitoid wasps are invaluable natural enemies extensively used to control coleopteran, dipteran, and lepidopteran pests in agriculture and forestry owing to their killing and reproductive actions on hosts. The important larval endoparasitoid wasp Microplitis manilae, which belongs to the Microgastrinae subfamily, parasitizes the larval stages of Spodoptera spp., such as Spodoptera litura and Spodoptera frugiperda. The absence of a genomic resource for M. manilae has impeded studies on chemosensory- and detoxification-related genes. This study presents a chromosome-level genome assembly of M. manilae with a genome size of 293.18 Mb, which includes 222 contigs (N50 size, 7.58 Mb) and 134 scaffolds (N50 size, 27.33 Mb). A major proportion of the genome (284.76 Mb; 97.13%) was anchored to 11 pseudochromosomes with a single-copy BUSCO score of 98.4%. Furthermore, 14,316 protein-coding genes, 165.14 Mb (57.99%) repetitive elements, and 871 noncoding RNAs were annotated and identified. Additionally, a manual annotation of 399 genes associated with chemosensation and 168 genes involved in detoxification was conducted. This study provides a valuable and high-quality genomic resource to facilitate further functional genomics research on parasitoid wasps.

Detection of Forestry Pests Based on Improved YOLOv5 and Transfer Learning

Infestations or parasitism by forestry pests can lead to adverse consequences for tree growth, development, and overall tree quality, ultimately resulting in ecological degradation. The identification and localization of forestry pests are of utmost importance for effective pest control within forest ecosystems. To tackle the challenges posed by variations in pest poses and similarities between different classes, this study introduced a novel end-to-end pest detection algorithm that leverages deep convolutional neural networks (CNNs) and a transfer learning technique. The basic architecture of the method is YOLOv5s, and the C2f module is adopted to replace part of the C3 module to obtain richer gradient information. In addition, the DyHead module is applied to improve the size, task, and spatial awareness of the model. To optimize network parameters and enhance pest detection ability, the model is initially trained using an agricultural pest dataset and subsequently fine-tuned with the forestry pest dataset. A comparative analysis was performed between the proposed method and other mainstream target detection approaches, including YOLOv4-Tiny, YOLOv6, YOLOv7, YOLOv8, and Faster RCNN. The experimental results demonstrated impressive performance in detecting 31 types of forestry pests, achieving a detection precision of 98.1%, recall of 97.5%, and mAP@.5:.95 of 88.1%. Significantly, our method outperforms all the compared target detection methods, showcasing a minimum improvement of 2.1% in mAP@.5:.95. The model has shown robustness and effectiveness in accurately detecting various pests.

International Cooperation to Support the Diagnosis of Forestry Pests: The Role of EPPO and Euphresco

Plant pests are a threat to biodiversity, food security, and the economy. The challenges posed by the introduction of plant pests have triggered the establishment of cooperative mechanisms such as the International Plant Protection Convention (IPPC), an international treaty to protect plant health, but also of Regional Plant Protection Organizations (RPPOs), such as the European and Mediterranean plant Protection Organizations (EPPO). RPPOs participate in activities in their regions to promote and achieve the objectives of the IPPC. Because accurate and reliable detection and identification of pests are essential in order to be able to take appropriate measures against a pest and thus avoid or reduce the economic, social, and environmental costs that it can cause, the IPPC and EPPO have established a specific program on diagnostics. The main aim of this article is to present the diagnostic activities conducted by the European and Mediterranean Plant Protection Organization and Euphresco. Some information is also presented on other initiatives in diagnostics.

Methyl jasmonate, salicylic acid, and oxalic acid affects growth, inducible defenses, and pine weevil resistance in Norway spruce.

The large pine weevil (Hylobius abietis) is a major regeneration pest in commercial forestry. Pesticide application has historically been the preferred control method, but pesticides are now being phased out in several countries for environmental reasons. There is, thus, a need for alternative plant protection strategies. We applied methyl jasmonate (MeJA), salicylic acid (SA) or oxalic acid (OxA) on the stem of 2-year-old Norway spruce (Picea abies) plants to determine effects on inducible defenses and plant growth. Anatomical examination of stem cross-sections 9 weeks after application of 100 mM MeJA revealed massive formation of traumatic resin ducts and greatly reduced sapwood growth. Application of high concentrations of SA or OxA (500 and 200 mM, respectively) induced much weaker physiological responses than 100 mM MeJA. All three treatments reduced plant height growth significantly, but the reduction was larger for MeJA (~55%) than for SA and OxA (34-35%). Lower MeJA concentrations (5-50 mM) induced comparable traumatic resin duct formation as the high MeJA concentration but caused moderate (and non-significant) reductions in plant growth. Two-year-old spruce plants treated with 100 mM MeJA showed reduced mortality after exposure to pine weevils in the field, and this enhanced resistance-effect was statistically significant for three years after treatment.

Conversions of seven-membered terpene lactones towards low-molecular bioregulators

The review describes the low-temperature reduction of (-)-mentholactone with diisobutylaluminum hydride in methylene chloride studied by the authors. It was found that, depending on the reaction conditions, it proceeds with the formation of three products: 7 S -isopropyl-4 R -methyloxepan-2 S -ol [(-)-mentholactol], 8-hydroxy-2,6 R -dimethyloctan-3-one or 2 S -isobutoxy-7 S -isopropyl-4 R -methyloxepane, for each of which the probable routes are given and the conditions for selective formation are selected. A new reaction in the chemistry of organoaluminum compounds has been discovered - the formation of isobutyl acetals of 2-oxepanols during low-temperature (-70°C) reduction of 7-membered lactones with two-fold or more molar amounts of diisobutylaluminum hydride in methylene chloride. On the basis of (-)-mentholactol, its aluminate, and 8-hydroxy-2,6R-dimethyloctan-3-one, a number of low molecular weight bioregulators, including optically active pheromones of insect pests in agriculture and forestry, have been synthesized.

Multidimensional climatic niche conservatism and invasion risk of Phenacoccus solenopsis.

The cotton mealybug Phenacoccus solenopsis, a globally invasive insect, is listed as a national quarantine pest in agriculture and forestry, which seriously threatens biological safety of China. Niche conservatism is a key assumption of species distribution model. An evaluation of the applicability of using ecological niche models to assess the invasion risk of cotton mealybug, and further optimizing model complexity, are of both theoretical and practical significance. Based on 706 occurrence records and key bioclimatic variables, we used n-dimensional hypervolume niche analysis method to quantify the climatic niche hypervolumes of this pest in both native and invasive sites, and further tested the niche conservatism hypothesis. MaxEnt model parameters were optimized to predict the invasion risk of the mealybug under current and future climate scenarios in China. The results showed that four climatic variables (annual mean temperature, mean temperature of wettest quarter, mean temperature of warmest quarter, and precipitation of driest quarter) were the key climate factors affecting the distribution of cotton mealybug. Compared with native climatic niche (hypervolume volume, HV=40.43), the niche hypervolume of cotton mealybug in the invasive areas was significantly reduced (HV=6.04). Niche contraction (the net differences between the amount of space enclosed by each hypervolume was 0.84) explained 98.8% of niche differentiation, whereas niche shift (the replacement of space between hypervolumes was 0.01) contributed less than 2%. The direction of climatic niche contraction of the pest in different invasive areas was not exactly consistent. The default parameters of MaxEnt model were unreliable (ΔAICc=14.27), and the optimal parameter combination was obtained as follows: feature combination was linear-quadratic-hinge-product and regularization multiplier was 0.5. The most suitable habitats of cotton mealybug were concentrated in the south of Huaihe River-Qinling Mountains line, and the north-central provinces contained a large area of low suitable habitat. The increase of suitable habitat was not significant at the end of 21 century (SSP1-2.6: 1.7%, SSP5-8.5: 0.7%). The multidimensional climatic niche of P. solenopsis was highly conservative. The species distribution model was suitable for analyzing its invasion risk. The northward spread was obvious, and climate change had less impact on the pest.

Biological performance of Arma chinensis on three preys Antheraea pernyi, Plodia interpunctella and Leptinotarsa decemlineata

Arma chinensis (Fallou) is an important predator of several agricultural and forestry pests. We tested the effects of three different prey species on the biological parameters of the predatory Ar. chinensis under laboratory conditions. These prey species consisted of Antheraea pernyi pupa, Plodia interpunctella larvae and Leptinotarsa decemlineata larvae. The results showed that prey species elicited a significant effect on development times, total survival rate, adult acquisition rate and reproduction. In contrast, the female proportion, survival rates of 3rd instars and 5th instars not significantly affected by prey species. An. pernyi pupa were the most suitable prey among those tested, and led to high survival rates, short development times, and high fecundity of Ar. chinensis. P. interpunctella larvae were also relatively favorable prey, whereas L. decemlineata larvae were less suitable and resulted in reduced development, survival and fecundity. Therefore, P. interpunctella larvae and L. decemlineata larvae can be fed to Ar. chinensis for turning both their harms into benefits and reducing the feeding and breeding costs of Ar. chinensis.

Predicting the Distribution of Sclerodermus sichuanensis (Hymenoptera: Bethylidae) under Climate Change in China.

Sclerodermus sichuanensis is the natural enemy of the longicorn beetle due to its strong attack ability and high parasitic rate. Its good resistance and fecundity make it have significant biological control value. The Maxent model and ArcGIS software were used to simulate the current distribution of S. sichuanensis in China by combining the known distribution information and environmental variables and predict the suitable area of the 2050s (2041-2060) and 2090s (2081-2000) under three climate scenarios (SSP1-2.6, SSP2-4.5. and SSP5-8.5). The results showed that the Mean Diurnal Range (bio2), Min Temperature of the Coldest Month (bio6), Precipitation of the Warmest Quarter (bio18), and Max Temperature of the Warmest Month (bio5) were the key environmental variables affecting the distribution of S. sichuanensis. Southwest China and part of North China are the main concentrations of the current high-suitability areas of S. sichuanensis. The moderately suitable areas are concentrated in South China and Central China. Under the SSP5-8.5 scenario, the suitable area predicted in the 2050s will expand significantly to North China and Northwest China, with a total increase of 81,295 km2. This work provides an essential reference for future research on S. sichuanensis and the application of forestry pest control.

The Impact of Beehive Proximity, Human Activity and Agricultural Intensity on Diptera Diversity in a Mediterranean Mosaic of Agroecosystems, with a Focus on Pest Species.

Diptera, with their participation in pollination, significantly contribute to the maintenance of plant diversity, and they also have great potential for assessing habitat health and preserving it. A decline in their abundance and diversity has been recorded worldwide as a consequence of biotic, abiotic, and anthropic alterations. In addition to pollinators, these orders include agricultural and forestry pests, which are a threat to both cultivated and wild plants that are very important to the economy. Many pests have escaped from their native areas, and it is important to monitor their spread to implement sustainable means of control. Our study provides baseline information on Diptera and Vespidae diversity in the Mediterranean mosaic of agroecosystems, giving information on the importance of human influence on insect diversity. We carried out an insect inventory in Istria, Croatia, using a set of traps placed in the proximity of beehives. This study was also important in determining the presence of pests and newly introduced species. A total of 94 species from 24 families were recorded-7 important agricultural pests of Diptera and 17 new records for Croatia. The correlation between species diversity and environmental and anthropogenic factors leads to the conclusion that total insect species richness, pest species richness, and the first findings depend on human activities. The number of honeybee colonies negatively correlated with species richness, while anthropic influence positively affected total and pest species richness.

Evaluation of suitable reference genes for expression analysis using quantitative real-time polymerase chain reaction in the parasitoid Exorista sorbillans (Diptera: Tachinidae).

The parasitoid Exorista sorbillans (Diptera: Tachinidae) is a larval endoparasitoid of the silkworm Bombyx mori, causing severe damage to silkworm cocoon industry. It is also an important natural enemy resource of insect pests in agriculture and forestry. Despite their roles in biocontrol and pest status on sericulture, there has been limited research on the functional studies of dipteran parasitoids. Quantitative real-time polymerase chain reaction (qRT-PCR) is the most commonly used to address gene functions. Using qRT-PCR, stably expressed reference genes under different experimental conditions are required to normalize the expression of target genes. However, no information regarding suitable qRT-PCR reference genes in dipteran parasitoids has been reported. In this study, we evaluate the expression stability of nine commonly used reference genes in insects including eukaryotic translation elongation factor 1δ (eEF1δ), elongation factor 2, 18S ribosomal RNA (18S rRNA), tubulin 3, actin87, ribosomal protein 49 (RP49), ribosomal protein S15, glyceraldehyde-3-phosphate dehydrogenase, and TATA-box binding protein (TBP) in E. sorbillans under different treatments, including tissues, developmental stages, genders, feeding density and pesticide stress, using ∆Ct , BestKeeper, geNorm, Normfinder and RefFinder, respectively. The results showed that the genes RP49, eEF1δ and 18S rRNA were recommended as the most suitable reference genes in E. sorbillans across all experimental conditions. This finding provides the necessary foundation for future functional studies in E. sorbillans and its effective use in both sericulture and pest control.

Morphology and location of sensilla in the antennae and ovipositor of Sirex noctilio (Hymenoptera: Siricidae)

The woodwasp Sirex noctilio Fabricius is a major quarantine pest that was reported in China in 2013 and mostly damages Pinus sylvestris var. mongolica. Reverse chemical ecology, which uses chemical lures to catch or block insects from mating is the classic way to control forestry pests. This indicates that insect sensilla play a crucial role in detecting external chemical and physical stimuli. Nonetheless, the categorization and distribution of sensilla on the antennae and ovipositor of S. noctilio are insufficiently specific. In this paper, scanning electron microscopy (SEM) was used to observe the ultrastructure of the sensilla of S. noctilio on the antenna and ovipositor. It was found that the types and distribution of sensilla on the antennae of S. noctilio male and female are consistent, and six types of sensilla are found: sensilla trichodea (ST), sensilla chaetica (SC), Böhm bristles (BB), sensilla basiconica (SB), sensilla ampullacea (SA), and contact chemoreceptors (CC). Besides, there are five types of sensilla on the female ovipositor. In addition to ST, SC and BB, two more types of sensilla are also found: sensilla cavity (SCa) and sensilla coeloconica (SCo). Through identification of the morphology and distribution of the sensilla, the functions of different sensilla in the mating and host selection mechanisms of S. noctilio are proposed, thereby establishing a foundation for S. noctilio chemical communication research.

Morphological comparison of the sensilla on the maxillary and labial palps between male and female adults of Moechotypa diphysis (Coleoptera: Cerambycidae).

Moechotypa diphysis (Pascoe) is one of the most important pests in agriculture and forestry. However, there are few studies focusing on the external morphology of M. diphysis adults. In this study, the mouthparts of M. diphysis adults were observed by the scanning electron microscope to compare the quantity and distribution of the sensilla on the maxillary and labial palps. The results showed that there are four segments on the maxillary palps and three segments on the labial palps. The length of each segment of the maxillary and labial palps is larger in the female than that in the male. Six types of sensilla are found on the maxillary and labial palps of M. diphysis adults: sensilla basiconca (SB1, 2, 3, and 4), sensilla trichodea (ST1, 2 and 3), sensilla chaetica (SC), sensilla placodea (SP), hair plate (HP) and sensilla coeloconica (SCo). There is no significant difference in the number of most types of sensilla between females and males in the same position. However, the number of ST1 on the maxillary and labial palps is significantly higher in the female than in the male. In addition, the number of most types of sensilla (SB2, ST1, SC, SP, HP, and SCo) on the maxillary palps is significantly higher than on the labial palps both for females and males. Maxillary palps may play a more important role in the activities of M. diphysis adults than the labial palps. Based on this study, we discussed the functions of the sensilla on the maxillary and labial palps of M. diphysis adults to provide the theoretical basis and statistical data for further research on the behavior and the electrophysiology of this devastating forest pest.

Genome Assembly and Comparative Analysis of the Egg Parasitoid Wasp Trichogramma dendrolimi Shed Light on the Composition and Evolution of Olfactory Receptors and Venoms

Trichogramma dendrolimi is one of the most successfully industrialized Trichogramma species used to control agricultural and forestry pests in China. However, the molecular mechanisms underlying its host recognition and parasitism remain largely unknown, partially due to the limited genome information of this parasitoid wasp. Here, we present a high-quality de novo assembly of T. dendrolimi through a combination of Illumina and PacBio sequencing technologies. The final assembly had a length of 215.2 Mb and contains 316 scaffolds with a scaffold N50 size of 1.41 Mb. Repetitive sequences with a length of 63.4 Mb and 12,785 protein-coding genes were identified. Significantly expanded gene families were identified to be involved in the development and regulatory processes, while remarkably contracted gene families were involved in the transport processes in T. dendrolimi. The olfactory and venom-associated genes were identified in T. dendrolimi and 24 other hymenopteran species, using uniform methods combining BLAST and HMM profiling. The identified venom genes of T. dendrolimi were enriched in antioxidant activity, tricarboxylic acid cycle, response to oxidative stress and cell redox homeostasis. Our study provides an important resource for comparative genomics and functional studies to interpret the molecular mechanisms underlying host recognition and parasitism of Trichogramma species.

Prior knowledge auxiliary for few-shot pest detection in the wild.

One of the main techniques in smart plant protection is pest detection using deep learning technology, which is convenient, cost-effective, and responsive. However, existing deep-learning-based methods can detect only over a dozen common types of bulk agricultural pests in structured environments. Also, such methods generally require large-scale well-labeled pest data sets for their base-class training and novel-class fine-tuning, and these significantly hinder the further promotion of deep convolutional neural network approaches in pest detection for economic crops, forestry, and emergent invasive pests. In this paper, a few-shot pest detection network is introduced to detect rarely collected pest species in natural scenarios. Firstly, a prior-knowledge auxiliary architecture for few-shot pest detection in the wild is presented. Secondly, a hierarchical few-shot pest detection data set has been built in the wild in China over the past few years. Thirdly, a pest ontology relation module is proposed to combine insect taxonomy and inter-image similarity information. Several experiments are presented according to a standard few-shot detection protocol, and the presented model achieves comparable performance to several representative few-shot detection algorithms in terms of both mean average precision (mAP) and mean average recall (mAR). The results show the promising effectiveness of the proposed few-shot detection architecture.

Phylogenetic analysis and biocontrol potential of entomopathogenic fungi against Tropinota (=Epicometis) hirta (Poda) (Coleoptera: Cetoniidae) and the apple scab disease Ventura inaequalis

BackgroundEntomopathogenic fungi have long been used as a biopeptide in the biological control of insect pests in agriculture, forestry and veterinary. At the same time, it is known that these fungi have positive effects on plant growth, health, and the antagonist effect against various plant pathogens. Entomopathogenic fungal isolation was performed from soil samples collected from apple orchards and Tropinota (=Epicometis) hirta (Poda) (Coleoptera: Cetoniidae) adults which is an important pest of fruit trees. The isolated fungi were identified at the species level by phylogenetic analysis based on multi-locus sequence approach using various gene sequences (ITS, rpb1, bloc, EF1-α and β-tubulin). The fungi obtained were tested against T. hirta and the apple scab disease, Ventura inaequalis under laboratory conditions.ResultsThree (Bz isolates) and 15 (AK isolates) entomopathogenic fungi (EPF) were isolated from T. hirta adults and 48 soil samples, respectively. The isolated fungi were identified as Beauveria bassiana (Bz-1, Bz-2, AK-10, AK-14, AK-17, and AK-18), Metarhizium robertsii (Bz-3, AK-4, AK-5, AK-6, AK-7, AK-8, AK-9, AK-11, AK-13, AK-15, and AK-16) and Metarhizium sp. (AK-12). All isolated fungi were tested against T. hirta adults, causing the same mortality but different mycosis values. In addition, the antagonistic effects of fungal isolates against V. inaequalis, the important apple pathogen, were determined and the highest effect was obtained from B. bassiana AK-10 with 69.3%.ConclusionThis is the first study to determine the effectiveness of EPF against T. hirta and V. inaequalis, and the results obtained are thought to be useful for the biological control of both pests.

Mitochondrial genomes of soft scales (Hemiptera: Coccidae): features, structures and significance

BackgroundSoft scales (Hemiptera: Coccidae), including important agricultural and forestry pests, are difficult to identify directly by morphological characters. Mitochondrial genomes (mitogenomes) have been widely used in species identification and phylogenetic research. However, only three complete mitogenomes, and very few mitochondrial genes of scale insects (Hemiptera: Coccoidea) can be searched in GenBank. Mitogenome comparisons between scale insects or between scale insects and other hemipteran species have not yet been reported.ResultsIn this study, detailed annotation of three new mitogenomes and comparative analysis of scale insects were completed, as well as comparative analysis of the gene composition, gene arrangement, codon usage and evolutionary forces between scale insects and 488 other hemipteran species for the first time. We found that high A + T content, gene rearrangement and truncated tRNAs are common phenomena in soft scales. The average A + T content and codon usage bias of scale insects are higher and stronger than those of other hemipteran insects, respectively. The atp8 gene of Hemiptera and nine other protein-coding genes of scale insects are under positive selection with higher evolutionary rates.ConclusionsThe study revealed the particularity of the scale insect mitogenomes, which will provide a good reference for future research on insect phylogenetic relationships, insect pest control, biogeography and identification.