A sequencing and bioinformatics platform that combines Nanopore long-read technology with second-generation sequencing correction to overcome the challenge of identifying highly homologous insecticidal genes in mixed Bacillus thuringiensis (Bt) samples. Enables high-resolution discovery of novel insecticidal genes, including VIP-type genes, from strain libraries and environmental samples for biocontrol and agricultural biotechnology applications.
This platform addresses a critical bottleneck in microbial pesticide discovery: the difficulty of identifying new insecticidal genes from mixed Bacillus thuringiensis (Bt) samples due to the high homology among known insecticidal genes. By combining Nanopore long-read sequencing with second-generation sequencing correction in a hybrid metagenomic assembly workflow, the technology enables high-resolution analysis of highly homologous gene families and significantly improves the efficiency of novel insecticidal gene screening from environmental and strain library samples.
The approach is particularly valuable for agricultural biotechnology companies, biocontrol product developers, and crop protection researchers seeking new modes of action for insect resistance management. Initial validation demonstrated the ability to assemble complete full-length insecticidal gene sequences from complex mixed plasmid samples with exceptional accuracy, including the discovery of three previously unknown vip genes with homology below 60% compared to any known gene.
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The platform has been experimentally validated using mixed plasmid samples from 25 Bt strains sequenced on the Nanopore GridION X5 platform, demonstrating robust gene assembly and the ability to discover genuinely novel insecticidal genes. The current readiness level reflects a working laboratory-validated workflow with demonstrated proof-of-concept results. Ongoing development efforts focus on optimizing the bioinformatics algorithms and extending the methodology to broader sample types, including environmental isolates. The team is seeking funding support for key personnel to advance the system toward a fully operational high-throughput screening service.
Fujian Agriculture and Forestry University is a large, comprehensive public research university in Fuzhou, China, with more than 39,000 students and a strong regional service orientation. Its campus network combines a 55,000-mu teaching forest, field bases, and national innovation platforms, giving corporate and public-sector partners access to applied testing and demonstration environments. Nineteen industry research institutes and 89 field-based science and technology stations extend collaboration into regional production settings. Research is supported by the National Natural Science Foundation of China, the Ministry of Science and Technology, and China’s agriculture and forestry authorities; technology-transfer services support patents, licensing, and commercialization.