Microbiome variation correlates with the insecticide susceptibility in different geographic strains of a significant agricultural pest, Nilaparvata lugens

Author:

Zhang YunhuaORCID,Cai TingweiORCID,Yuan MaojunORCID,Li ZhaoORCID,Jin RuohengORCID,Ren ZhijieORCID,Qin YaoORCID,Yu ChangORCID,Cai YongfengORCID,Shu RunhangORCID,He ShunORCID,Li JianhongORCID,Wong Adam C. N.ORCID,Wan HuORCID

Abstract

AbstractMicrobiome-mediated insecticide resistance is an emerging phenomenon found in insect pests. However, microbiome composition can vary by host genotype and environmental factors, but how these variations may be associated with insecticide resistance phenotype remains unclear. In this study, we compared different field and laboratory strains of the brown planthopperNilaparvata lugensin their microbiome composition, transcriptome, and insecticide resistance profiles to identify possible patterns of correlation. Our analysis reveals that the abundances of core bacterial symbionts are significantly correlated with the expression of several host detoxifying genes (especiallyNlCYP6ER1, a key gene previously shown involved in insecticides resistance). The expression levels of these detoxifying genes correlated withN. lugensinsecticide susceptibility. Furthermore, we have identified several environmental abiotic factors, including temperature, precipitation, latitude, and longitude, as potential predictors of symbiont abundances associated with expression of key detoxifying genes, and correlated with insecticide susceptibility levels ofN. lugens. These findings provide new insights into how microbiome-environment-host interactions may influence insecticide susceptibility, which will be helpful in guiding targeted microbial-based strategies for insecticide resistance management in the field.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Publisher

Springer Science and Business Media LLC

Subject

Applied Microbiology and Biotechnology,Microbiology,Biotechnology

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