Isolation and Identification of herbicidal active substances of Botrytis strain HZ-011

Haixia Zhu, Liang Cheng and Yongqiang Ma
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Haixia Zhu: Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, P. R. China
Liang Cheng: Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, P. R. China
Yongqiang Ma: Academy of Agriculture and Forestry Sciences, Qinghai University, Xining, P. R. China

Plant Protection Science, vol. preprint

Abstract: The herbicidally active Botrytis strain HZ-011 was isolated from naturally infected leaves of Rumex patientia L., and previous studies found that strain HZ-011 exhibits highly effective herbicidal effects against the broadleaf weeds Amaranthus retroflexus L., Elsholtzia densa Benth, Malva crispa, and Chenopodium album L. In this study, the active components of strain HZ-011 were isolated, purified, and structurally characterised using silica gel column chromatography, thin-layer chromatography, and high-performance liquid chromatography. The extraction test was carried out using four organic solvents with different polarities, and ethyl acetate was ultimately used as the extractant for the bulk preparation of the crude product of the active substances. Thin-layer chromatography yielded 10 different fractions and 26 components, and components B3 and E1 showed pathogenic effects on C. album. High-performance liquid chromatography (HPLC) of compound components B3 and E1 yielded three fractions with larger signal values and peak areas, and raw measurements of them revealed that component 3 was active. By analysing and comparing the spectral data of component 3 from 1H-NMR, 13C-MNR, ESIMS, and EIMS, component 3 was identified as dibutyl phthalate. The activity of the individual compounds was verified. The results of this study lay a theoretical foundation for the discovery and exploration of lead compounds. They will also provide a theoretical basis for developing this strain into a microbially-derived herbicide.

Keywords: herbicidal effects; active components; structural identification (search for similar items in EconPapers)
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DOI: 10.17221/183/2024-PPS

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