Gotoh, T., Noda, H. & Hong, X. Y. Wolbachia distribution and cytoplasmic incompatibility based on a survey of 42 spider mite species (Acari: Tetranychidae) in Japan. Heredity 91, 208–216 (2003).


Google Scholar
 

Porter, J. & Sullivan, W. The cellular lives of Wolbachia. Nat. Rev. Microbiol. 21, 750–766 (2023).


Google Scholar
 

Hilgenboecker, K., Hammerstein, P., Schlattmann, P., Telschow, A. & Werren, J. H. How many species are infected with Wolbachia?-A statistical analysis of current data. FEMS Microbiol. Lett. 281, 215–220 (2008).


Google Scholar
 

Ribeiro, P. et al. Pervasive horizontal transmission of Wolbachia in natural populations of closely related and widespread tropical skipper butterflies. BMC Microbiol. 25, 5 (2025).


Google Scholar
 

Werren, J. H., Baldo, L. & Clark, M. E. Wolbachia: master manipulators of invertebrate biology. Nat. Rev. Microbiol. 6, 741–751 (2008).


Google Scholar
 

Beckmann, J. F., Ronau, J. A. & Hochstrasser, M. A. deubiquitylating enzyme induces cytoplasmic incompatibility. Nat. Microbiol. 2, 17007 (2017).


Google Scholar
 

Shropshire, J. D., Leigh, B. & Bordenstein, S. R. Symbiont-mediated cytoplasmic incompatibility: what have we learned in 50 years? eLife 9, e61989 (2020).

Lau, M. J., Ross, P. A. & Hoffmann, A. A. Infertility and fecundity loss of Wolbachia-infected Aedes aegypti hatched from quiescent eggs is expected to alter invasion dynamics. PLoS Negl. Trop. Dis. 15, e0009179 (2021).


Google Scholar
 

Maciel-de-Freitas, R. et al. Wolbachia strains wMel and wAlbB differentially affect Aedes aegypti traits related to fecundity. Microbiol. Spectr. 12, e0012824 (2024).


Google Scholar
 

Zug, R. & Hammerstein, P. Bad guys turned nice? A critical assessment of Wolbachia mutualisms in arthropod hosts. Biol. Rev. Camb. Philos. Soc. 90, 89–111 (2015).


Google Scholar
 

Weeks, A. R., Turelli, M., Harcombe, W. R., Reynolds, K. T. & Hoffmann, A. A. From parasite to mutualist: rapid evolution of Wolbachia in natural populations of Drosophila. PLoS Biol. 5, e114 (2007).


Google Scholar
 

Fry, A. J., Palmer, M. R. & Rand, D. M. Variable fitness effects of Wolbachia infection in Drosophila melanogaster. Heredity 93, 379–389 (2004).


Google Scholar
 

Shropshire, J. D., Leigh, B. & Bordenstein, S. R. Male age and Wolbachia dynamics: investigating how fast and why bacterial densities and cytoplasmic incompatibility strengths vary. mBio 12, e02998-21 (2021).

Zheng, X. et al. Incompatible and sterile insect techniques combined eliminate mosquitoes. Nature 572, 56–61 (2019).


Google Scholar
 

Lim, J. T. et al. Efficacy of Wolbachia-mediated sterility to reduce the incidence of dengue: a synthetic control study in Singapore. Lancet Microbe 5, e422–e432 (2024).


Google Scholar
 

Zabalou, S. et al. Wolbachia-induced cytoplasmic incompatibility as a means for insect pest population control. Proc. Natl. Acad. Sci. USA 101, 15042–15045 (2004).


Google Scholar
 

Jin, P.-Y., Tian, L., Chen, L. & Hong, X.-Y. Spider mites of agricultural importance in China, with focus on species composition during the last decade (2008–2017). Syst. Appl. Acarol. 23, 2087 (2018).


Google Scholar
 

Ullah, M. S., Gotoh, T. & Lim, U. T. Life history parameters of three phytophagous spider mites, Tetranychus piercei, T. truncatus and T. bambusae (Acari: Tetranychidae). J. Asia-Pac. Entomol. 17, 767–773 (2014).


Google Scholar
 

Zhu, Y. X. et al. A change in the bacterial community of spider mites decreases fecundity on multiple host plants. MicrobiologyOpen 8, e00743 (2019).


Google Scholar
 

Zhu, Y. X. et al. Incidence of facultative bacterial endosymbionts in spider mites associated with local environments and host plants. Appl. Environ. Microbiol. 84, e02546 (2018).


Google Scholar
 

Zhang, Y. K., Chen, Y. T., Yang, K., Qiao, G. X. & Hong, X. Y. Screening of spider mites (Acari: Tetranychidae) for reproductive endosymbionts reveals links between co-infection and evolutionary history. Sci. Rep. 6, 27900 (2016).


Google Scholar
 

Yang, K. et al. Wolbachia dominate Spiroplasma in the co-infected spider mite Tetranychus truncatus. Insect Mol. Biol. 29, 19–37 (2020).


Google Scholar
 

Xia, X. et al. Wolbachia affects reproduction in the spider mite Tetranychus truncatus (Acari: Tetranychidae) by regulating chorion protein S38-like and Rop. Insect Mol. Biol. 30, 18–29 (2021).


Google Scholar
 

Zhu, Y. X., Song, Z. R., Zhang, Y. Y., Hoffmann, A. A. & Hong, X. Y. Spider mites singly infected with either Wolbachia or Spiroplasma have reduced thermal tolerance. Front. Microbiol. 12, 706321 (2021).


Google Scholar
 

Zhang, Q., Dou, W., Taning, C. N. T., Smagghe, G. & Wang, J. J. Regulatory roles of microRNAs in insect pests: prospective targets for insect pest control. Curr. Opin. Biotechnol. 70, 158–166 (2021).


Google Scholar
 

Lucas, K. & Raikhel, A. S. Insect microRNAs: biogenesis, expression profiling and biological functions. Insect Biochem. Mol. Biol. 43, 24–38 (2013).


Google Scholar
 

Asgari, S. Role of microRNAs in insect host-microorganism interactions. Front Physiol. 2, 48 (2011).


Google Scholar
 

Lozano, J., Montanez, R. & Belles, X. MiR-2 family regulates insect metamorphosis by controlling the juvenile hormone signaling pathway. Proc. Natl. Acad. Sci. USA 112, 3740–3745 (2015).


Google Scholar
 

Zhang, S. et al. Host miRNAs are involved in hormonal regulation of HaSNPV-triggered climbing behaviour in Helicoverpa armigera. Mol. Ecol. 27, 459–475 (2018).


Google Scholar
 

Belles, X. MicroRNAs and the evolution of insect metamorphosis. Annu. Rev. Entomol. 62, 111–125 (2017).


Google Scholar
 

Lu, M. Y. & Chtarbanova, S. The role of micro RNAs (miRNAs) in the regulation of Drosophila melanogaster’s innate immunity. Fly 16, 382–396 (2022).


Google Scholar
 

Xie, J. et al. miR-275/305 cluster is essential for maintaining energy metabolic homeostasis by the insulin signaling pathway in Bactrocera dorsalis. PLoS Genet. 18, e1010418 (2022).


Google Scholar
 

Zhang, Y. et al. Insect-specific microRNA Involved in the development of the silkworm Bombyx mori. PLoS ONE 4, e4677 (2009).


Google Scholar
 

Roy, S., Saha, T. T., Zou, Z. & Raikhel, A. S. Regulatory pathways controlling female insect reproduction. Annu. Rev. Entomol. 63, 489–511 (2018).


Google Scholar
 

Lucas, K. J., Zhao, B., Liu, S. & Raikhel, A. S. Regulation of physiological processes by microRNAs in insects. Curr. Opin. Insect Sci. 11, 1–7 (2015).


Google Scholar
 

Ling, L., Kokoza, V. A., Zhang, C., Aksoy, E. & Raikhel, A. S. MicroRNA-277 targets insulin-like peptides 7 and 8 to control lipid metabolism and reproduction in Aedes aegypti mosquitoes. Proc. Natl. Acad. Sci. USA 114, E8017–E8024 (2017).


Google Scholar
 

Liu, L., Zhang, K. J., Rong, X., Li, Y. Y. & Liu, H. Identification of Wolbachia-responsive miRNAs in the small brown planthopper, Laodelphax striatellus. Front. Physiol. 10, 928 (2019).


Google Scholar
 

Rong, X., Zhang, Y. K., Zhang, K. J. & Hong, X. Y. Identification of Wolbachia-responsive microRNAs in the two-spotted spider mite, Tetranychus urticae. BMC Genomics 15, 1122 (2014).


Google Scholar
 

Bishop, C., Hussain, M., Hugo, L. E. & Asgari, S. Analysis of Aedes aegypti microRNAs in response to Wolbachia wAlbB infection and their potential role in mosquito longevity. Sci. Rep. 12, 15245 (2022).


Google Scholar
 

Hussain, M., Frentiu, F. D., Moreira, L. A., O’Neill, S. L. & Asgari, S. Wolbachia uses host microRNAs to manipulate host gene expression and facilitate colonization of the dengue vector Aedes aegypti. Proc. Natl. Acad. Sci. USA 108, 9250–9255 (2011).


Google Scholar
 

Osei-Amo, S., Hussain, M., O’Neill, S. L. & Asgari, S. Wolbachia-induced aae-miR-12 miRNA negatively regulates the expression of MCT1 and MCM6 genes in Wolbachia-infected mosquito cell line. PLoS ONE 7, e50049 (2012).


Google Scholar
 

Wang, J. et al. XPO5 promotes primary miRNA processing independently of RanGTP. Nat. Commun. 11, 1845 (2020).


Google Scholar
 

Fast, E. M. et al. Wolbachia enhance Drosophila stem cell proliferation and target the germline stem cell niche. Science 334, 990–992 (2011).


Google Scholar
 

Iovino, N., Pane, A. & Gaul, U. miR-184 has multiple roles in Drosophila female germline development. Dev. Cell 17, 123–133 (2009).


Google Scholar
 

Zhang, G., Hussain, M., O’Neill, S. L. & Asgari, S. Wolbachia uses a host microRNA to regulate transcripts of a methyltransferase, contributing to dengue virus inhibition in Aedes aegypti. Proc. Natl. Acad. Sci. USA 110, 10276–10281 (2013).


Google Scholar
 

She, L. et al. Wolbachia mediates crosstalk between miRNA and Toll pathways to enhance resistance to dengue virus in Aedes aegypti. PLoS Pathog. 20, e1012296 (2024).


Google Scholar
 

Xia, X., Peng, C.-W., Lu, Y.-J., Zheng, X.-Y. & Hong, X.-Y. Transfection and colonization of Tetranychus truncatus Wolbachia strain wTtru in cell lines of the mosquito Aedes albopictus. Syst. Appl. Acarol. 23, 2420–2431 (2018).


Google Scholar
 

He, Z. et al. How do Wolbachia modify the Drosophila ovary? New evidences support the “titration-restitution” model for the mechanisms of Wolbachia-induced CI. BMC Genomics 20, 608 (2019).


Google Scholar
 

He, K. et al. Multiple miRNAs jointly regulate the biosynthesis of ecdysteroid in the holometabolous insects, Chilo suppressalis. RNA 23, 1817–1833 (2017).


Google Scholar
 

Sun, K., Jee, D., de Navas, L. F., Duan, H. & Lai, E. C. Multiple In vivo biological processes are mediated by functionally redundant activities of Drosophila mir-279 and mir-996. PLoS Genet. 11, e1005245 (2015).


Google Scholar
 

Wang, Y. L. et al. The microRNA miR-184 regulates the CYP303A1 transcript level to control molting of Locusta migratoria. Insect Sci. 28, 941–951 (2021).


Google Scholar
 

Feng, K. et al. Cuticle protein mediates the evolution of stress resistance by generating a decoy circular RNA in spider mite. Sci. Adv. 11, eads3361 (2025).


Google Scholar
 

Baldo, L. et al. Multilocus sequence typing system for the endosymbiont Wolbachia pipientis. Appl. Environ. Microbiol. 72, 7098–7110 (2006).


Google Scholar
 

Chen, L. et al. The genome sequence of a spider mite, Tetranychus truncatus, provides insights into interspecific host range variation and the genetic basis of adaptation to a low-quality host plant. Insect Sci. 30, 1208–1228 (2023).


Google Scholar
 

Kim, D., Paggi, J. M., Park, C., Bennett, C. & Salzberg, S. L. Graph-based genome alignment and genotyping with HISAT2 and HISAT-genotype. Nat. Biotechnol. 37, 907–915 (2019).


Google Scholar
 

Pertea, M. et al. StringTie enables improved reconstruction of a transcriptome from RNA-seq reads. Nat. Biotechnol. 33, 290–295 (2015).


Google Scholar
 

Langmead, B., Trapnell, C., Pop, M. & Salzberg, S. L. Ultrafast and memory-efficient alignment of short DNA sequences to the human genome. Genome Biol. 10, R25 (2009).


Google Scholar
 

Friedlander, M. R., Mackowiak, S. D., Li, N., Chen, W. & Rajewsky, N. miRDeep2 accurately identifies known and hundreds of novel microRNA genes in seven animal clades. Nucleic Acids Res. 40, 37–52 (2012).


Google Scholar
 

Wen, M., Shen, Y., Shi, S. & Tang, T. miREvo: an integrative microRNA evolutionary analysis platform for next-generation sequencing experiments. BMC Bioinforma. 13, 140 (2012).


Google Scholar
 

Rehmsmeier, M., Steffen, P., Hochsmann, M. & Giegerich, R. Fast and effective prediction of microRNA/target duplexes. RNA 10, 1507–1517 (2004).


Google Scholar
 

Enright, A. J. et al. MicroRNA targets in Drosophila. Genome Biol. 5, R1 (2003).


Google Scholar
 

Mann, M., Wright, P. R. & Backofen, R. IntaRNA 2.0: enhanced and customizable prediction of RNA-RNA interactions. Nucleic Acids Res. 45, W435–W439 (2017).


Google Scholar
 

Young, M. D., Wakefield, M. J., Smyth, G. K. & Oshlack, A. Gene ontology analysis for RNA-seq: accounting for selection bias. Genome Biol. 11, R14 (2010).


Google Scholar
 

Mao, X., Cai, T., Olyarchuk, J. G. & Wei, L. Automated genome annotation and pathway identification using the KEGG Orthology (KO) as a controlled vocabulary. Bioinformatics 21, 3787–3793 (2005).


Google Scholar
 

Sun, W., Jin, Y., He, L., Lu, W. C. & Li, M. Suitable reference gene selection for different strains and developmental stages of the carmine spider mite, Tetranychus cinnabarinus, using quantitative real-time PCR. J. Insect Sci. 10, 208 (2010).


Google Scholar
 

Ghazy, N. A. et al. A leaf-mimicking method for oral delivery of bioactive substances into sucking arthropod herbivores. Front. Plant Sci. 11, 1218 (2020).


Google Scholar
 

Phatak, P. & Donahue, J. M. Biotinylated micro-RNA pull down assay for identifying miRNA targets. Bio Protoc. 7, e2253 (2017).


Google Scholar
 

Searle, S. R., Speed, F. M. & Milliken, G. A. Population marginal means in the linear model: an alternative to least squares means. Am. Stat. 34, 216–221 (2012).


Google Scholar
 

Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal 9, 378–400 (2017).


Google Scholar
 

Lenth R. V. et al. emmeans: estimated marginal means, aka least-squares means. R package version 1.11.0. https://CRAN.R-project.org/package=emmeans. (2025).

Zhao, D. X., Zhang, X. F., Chen, D. S., Zhang, Y. K. & Hong, X. Y. Wolbachia-host interactions: host mating patterns affect Wolbachia density dynamics. PLoS ONE 8, e66373 (2013).


Google Scholar