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Wei, S.-J.

Publications and source records attributed to Wei, S.-J..

5 recordsLinked to original sources

New genomic resources for an invasive mite pest help guide the development of KASP markers for pesticide resistance screening

The redlegged earth mite, Halotydeus destructor, is an invasive pest of grain and pasture crops in Australia. Australian populations are increasingly developing resistance to broad-spectrum pesticides. Here, we assembled a chromosome-level genome for H. destructor, comprising nine chromosomes and totalling approximately 46 Mb. We also generated a genomic dataset from 190 populations collected across thousands of kilometres of its invasive Australian range and across four years (2018, 2021, 2022, and 2023), and used this dataset to develop KASP (Kompetitive allele-specific PCR) markers for identifying resistance mutations. We combined pooled whole-genome sequencing with resistance testing for organophosphate pesticides, chlorpyrifos and omethoate, and the pyrethroid pesticide bifenthrin. Target-site resistance to chlorpyrifos was strongly associated with the common ace G119S mutation. A second mutation, ace A201S, was also common, although its association with chlorpyrifos or omethoate resistance was less clear. Target-site resistance to bifenthrin was strongly associated with the common para L1024F mutation. We also detected several rare target-site mutations that likely contribute to resistance in specific populations, including F331Y in ace, and M918T, M918V, L925I, F1020S, and F1538I in para. Copy number variation in ace showed mixed associations with resistance, potentially reflecting the co-occurrence of variable gene copies and target-site mutations segregating within and among populations. Finally, we observed putative compositional and structural differences in genomic regions containing carboxylesterases with high ace-like homology, a group of genes that might be involved in organophosphate metabolism. This study advances the genomic and molecular resources available for H. destructor, and represents the most comprehensive investigation to date of resistance mechanisms and their spatiotemporal distribution in this invasive pest. Our data showed that pesticide resistance in H. destructor likely involves many genes. Nevertheless, target-site mutations are likely to remain key markers for rapid resistance diagnostics, for which our KASP markers will provide valuable tools.

genomics↗

Unprecedented Number of Recurrent Mutations Drive the Rapid Evolution of Pesticide Resistance in a Notorious Pest

The genetic basis of pesticide resistance has been widely studied, but the exact nature of this evolutionary process in the field is often unclear, particularly when a limited number of populations is considered and when there is a lag between the evolutionary event and its investigation. We showed that an unprecedented number of recurrently evolved mutations in an arthropod pest, the two-spotted spider mite Tetranychus urticae, drive the rapid evolution of resistance to a recently commercialized acaricide, cyetpyrafen. We first observed high levels of resistance that appeared and became widespread within three years. Genome scans revealed genetic heterogeneity of resistance among populations and identified 15 target mutations, including six mutations on five amino acid residues of subunit sdhB, and nine mutations on three amino acid residues of subunit sdhD of the pesticide target succinate dehydrogenase, with as many as five substitutions on one residue. No mutations were present in 2666 screened historical specimens, suggesting that mutations arose rapidly through de novo substitutions or from very rare segregating mutations. Identical mutations recurrently appeared in different genetic backgrounds, increasing the likelihood of resistance evolution. The high number of mutational options available for the evolution of target site resistance in this pest challenges resistance management practices.

evolutionary biology↗

Close kin dyads indicate intergenerational dispersal and barriers

The movement of individuals through continuous space is typically constrained by dispersal ability and dispersal barriers. A range of approaches have been developed to investigate these. KO_SCPLOWINDISPERSEC_SCPLOW is a new approach that infers intergenerational dispersal ({sigma}) from close kin dyads, and appears particularly useful for investigating taxa that are difficult to observe individually. This study, focusing on the mosquito Aedes aegypti, shows how the same close kin data can also be used for barrier detection. We empirically demonstrate this new extension of the method using genome-wide sequence data from 266 Ae. aegypti. First, we use the spatial distribution of full-sib dyads collected within one generation to infer past movements of ovipositing female mosquitoes. These dyads indicated the relative barrier strengths of two roads, and performed favourably against alternative genetic methods for detecting barriers. The difference in variance between the sib and first cousin spatial distributions was used to infer movement over the past two generations, providing estimates of intergenerational dispersal ({sigma} = 81.5-197.1 m.gen-1/2) and density ({rho} = 833-4864 km-2). Dispersal estimates showed general agreement with those from mark-release-recapture studies. Barriers, {sigma}, {rho}, and neighbourhood size (331-526) can inform forthcoming releases of dengue-suppressing Wolbachia bacteria into this mosquito population.

genetics↗

The oriental fruit moth genome provides insights into evolutionary adaptation of tortricid pests

Moths of the family Tortricidae (Insecta: Lepidoptera) usually distribute in temperate and tropical high upland regions. The oriental fruit moth (OFM) Grapholita molesta is a globally important pest of stone and pome fruit from this family. In this study, we assembled a chromosome-level genome for the OFM and conducted a comparative genomic analysis with other lepidopterans. This genome was assembled to 28 chromosomes with a size of 517.71 Mb, an N50 of 19.5 Mb, and a BUSCO completeness of 97.1%. In total, 19968 protein-coding genes were predicted, among which 15269 were functionally annotated. We manually annotated ten gene families for 13 representative genomes from the Lepidopteran. In general, two tortricid moths have a moderate number of detoxification and receptor genes and the lowest number of HSP genes, congruent with their polyphagous dietary and pattern of distribution. However, the OFM has the highest number of P450, I Rs and ORs among all species. Compared to the other tortricid species of the codling moth Cydia pomonella, the OFM has more genes in all gene families. Our results indicate that the high number of some detoxification and receptor genes may be related to the strong adaptation of OFM as a global pest. The high-quality genome of OFM provides an invaluable resource for understanding the ecology, genetics, and evolution of tortricid moths.

genomics↗

Similar gut bacterial microbiota in two fruit-feeding moth pests collected from different host species and locations

Numerous gut microbes are associated with insects, but their composition remains largely unknown for many insect groups, along with factors influencing their composition. Here, we compared gut bacterial microbiota of two co-occurring agricultural pests, the peach fruit moth (PFM) and the oriental fruit moth (OFM), collected from different orchards and host plant species. Gut microbiota of both species was mainly composed of bacteria from Proteobacteria, followed by Firmicutes. The two species shared bacteria from the genera Pseudomonas, Gluconobacter, Acetobacter, and Pantoea, although endosymbiotic Wolbachia was the most abundant genus in PFM and Lactobacillus was the most abundant in OFM. PFM tended to have lower diversity and richness of gut microbiota than OFM; however, only some of the comparisons were statistically significant. Orchards can influence gut microbiota in terms of richness, particularly for PFM, but not so much for diversity parameters. Functional prediction of gut microbiota showed that the top pathways are amino acid metabolism, translation, and membrane transport in both species, but their abundance varied between the two moth species. These results show that two fruit moths share many features of gut microbiota, and the bacterial species are relatively stable within moth species even when they use different host plants. Our study suggests that fruit-feeding behavior may play a role in shaping gut microbiota of the two fruit moths, which may provide microbial targets for pest control. ImportanceUnderstanding the associated microbes with insects can point to new targets for pest control. Here we compared bacterial community in the gut of two co-occurring agricultural pests, the peach fruit moth (PFM) and the oriental fruit moth (OFM), collected from different orchards and host plant species. We found that the bacterial genera Pseudomonas, Gluconobacter, Acetobacter, and Pantoea are abundant and shared in two moths. The composition of the bacterial species is relatively stable within moth species even when they use different host plants, indicating that the gut microbiota community in the PFM and OFM is likely to be related to their fruit-feeding behavior. The findings have implications for developing novel pest control approaches by targeting gut microbes associated with the two moths.

microbiology↗