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通过全基因组测序和宏基因组学方法评估一种商业生物杀虫剂的真实性和纯度。

Assessing the authenticity and purity of a commercial bioinsecticide through whole genome sequencing and metagenomics approaches.

作者信息

Van Laere Yari, Fraiture Marie-Alice, Gobbo Andrea, De Keersmaecker Sigrid C J, Marchal Kathleen, Roosens Nancy H C, Vanneste Kevin

机构信息

Transversal Activities in Applied Genomics, Sciensano, Elsene, Belgium.

Department of Plant Biotechnology and Bioinformatics, UGent, Zwijnaarde, Belgium.

出版信息

Front Microbiol. 2025 Jan 31;16:1532788. doi: 10.3389/fmicb.2025.1532788. eCollection 2025.

Abstract

Biopesticides, biological agents for pest control in plants, are becoming increasingly prevalent in agricultural practices. However, no established methodology currently exists to assess their quality, and there are currently no publicly available authenticity and purity evaluations of commercial products. This lack of data may represent risks because of their widespread dispersal in the environment. We evaluated the potential of whole genome sequencing (WGS) and metagenomics approaches, including nanopore long-read sequencing, to verify both authenticity (i.e., the labeled strain) and biological purity (i.e., the absence of any undesired genetic material) of commercial bioinsecticides. Four commercially available bioinsecticidal products containing serovar strain HD-1 were collected from the European market as a case study. Two sequencing approaches were employed: WGS of isolates and metagenomics sequencing of all genetic material in a product. To assess authenticity, isolate WGS data were compared against the publicly available reference genome of the expected strain. Antimicrobial resistance gene content, insecticidal gene content, and single nucleotide polymorphism differences were characterized to evaluate similarity to the reference genome. To assess purity, metagenomic sequencing data were analyzed using read classification and strain differentiation methods. Additionally, long- and short-read data were used to assess potential large-scale structural variations. Our results confirmed all investigated products to be authentic and pure. With the increasing usage of biopesticides, it is crucial to have adequate quality control methods. Our proposed approach could be adapted for other biopesticides, and similar products, providing a standardized and robust approach to contribute to biopesticide safety.

摘要

生物农药,即用于控制植物害虫的生物制剂,在农业实践中越来越普遍。然而,目前尚无既定的方法来评估其质量,并且目前也没有公开的商业产品真伪和纯度评估。由于它们在环境中的广泛传播,这种数据的缺乏可能带来风险。我们评估了全基因组测序(WGS)和宏基因组学方法(包括纳米孔长读长测序)验证商业生物杀虫剂真伪(即标记菌株)和生物纯度(即不存在任何不需要的遗传物质)的潜力。作为案例研究,从欧洲市场收集了四种含有血清型菌株HD-1的市售生物杀虫产品。采用了两种测序方法:分离株的WGS和产品中所有遗传物质的宏基因组测序。为了评估真伪,将分离株WGS数据与预期菌株的公开可用参考基因组进行比较。对抗菌素耐药基因含量、杀虫基因含量和单核苷酸多态性差异进行表征,以评估与参考基因组的相似性。为了评估纯度,使用读段分类和菌株分化方法分析宏基因组测序数据。此外,长读长和短读长数据用于评估潜在的大规模结构变异。我们的结果证实所有调查产品均为真实且纯净的。随着生物农药使用的增加,拥有适当的质量控制方法至关重要。我们提出的方法可适用于其他生物农药及类似产品,提供一种标准化且可靠的方法,以促进生物农药安全。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6c2b/11831548/c83b5d9bd3e6/fmicb-16-1532788-g001.jpg

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