苏云金芽孢杆菌变种苏云金高杀虫菌株 800/15 基因组测序草案

Data Pub Date : 2024-02-10 DOI:10.3390/data9020034
A. Shikov, Iuliia A. Savina, Maria N. Romanenko, A. Nizhnikov, K. S. Antonets
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引用次数: 0

摘要

苏云金芽孢杆菌(Bacillus thuringiensis serovar thuringiensis)800/15 菌株已被积极用作生物制剂的制剂,对科罗拉多马铃薯甲虫(Leptinotarsa decemlineata)和吉普赛蛾(Lymantria dispar)的幼虫具有很高的杀虫活性。在本研究中,我们展示了 800/15 株系的首个基因组草案,并对其最接近的参考株系进行了基因组比较分析。原始序列数据由 Illumina 技术在 HiSeq X 平台上获得,并使用 SPAdes v3.15.4 软件进行了从头组装。基因组大小达到 6,524,663 bp,携带 6771 个编码序列,其中 3 个代表编码杀虫毒素的位点,即 Spp1Aa1、Cry1Ab9 和 Cry1Ba8,对鳞翅目、蜚蠊目、半翅目、双翅目和鞘翅目具有活性。我们还揭示了负责合成次生代谢物的生物合成基因簇,包括具有抗菌、杀菌和促进生长特性的芬吉菌素、巴氏杆菌素和岩石菌素。进一步的比较基因组学研究表明,该菌株并不富含与生物活性相关的基因,这意味着其在农业上的重要特性更多地依赖于基因位点的组成而非其丰度。获得的菌株基因组序列和实验元数据有助于通过基因组数据计算预测细菌分离物的效力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Draft Genome Sequencing of the Bacillus thuringiensis var. Thuringiensis Highly Insecticidal Strain 800/15
The Bacillus thuringiensis serovar thuringiensis strain 800/15 has been actively used as an agent in biopreparations with high insecticidal activity against the larvae of the Colorado potato beetle Leptinotarsa decemlineata and gypsy moth Lymantria dispar. In the current study, we present the first draft genome of the 800/15 strain coupled with a comparative genomic analysis of its closest reference strains. The raw sequence data were obtained by Illumina technology on the HiSeq X platform and de novo assembled with the SPAdes v3.15.4 software. The genome reached 6,524,663 bp. in size and carried 6771 coding sequences, 3 of which represented loci encoding insecticidal toxins, namely, Spp1Aa1, Cry1Ab9, and Cry1Ba8 active against the orders Lepidoptera, Blattodea, Hemiptera, Diptera, and Coleoptera. We also revealed the biosynthetic gene clusters responsible for the synthesis of secondary metabolites, including fengycin, bacillibactin, and petrobactin with predicted antibacterial, fungicidal, and growth-promoting properties. Further comparative genomics suggested the strain is not enriched with genes linked with biological activities implying that agriculturally important properties rely more on the composition of loci rather than their abundance. The obtained genomic sequence of the strain with the experimental metadata could facilitate the computational prediction of bacterial isolates’ potency from genomic data.
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