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WTV2.0: A high-coverage plant volatilomics method with a comprehensive selective ion monitoring acquisition mode.
Yuan, Honglun; Jiangfang, Yiding; Liu, Zhenhuan; Su, Rongxiu; Li, Qiao; Fang, Chuanying; Huang, Sishu; Liu, Xianqing; Fernie, Alisdair R; Luo, Jie.
Afiliación
  • Yuan H; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China.
  • Jiangfang Y; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China; Yazhouwan National Laboratory (YNL), Sanya Hainan 572025, China.
  • Liu Z; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China; Yazhouwan National Laboratory (YNL), Sanya Hainan 572025, China.
  • Su R; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China.
  • Li Q; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China.
  • Fang C; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China.
  • Huang S; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China; Yazhouwan National Laboratory (YNL), Sanya Hainan 572025, China.
  • Liu X; School of Breeding and Multiplication (Sanya Institute of Breeding and Multiplication) and College of Tropical Agriculture and Forestry, Hainan University, Sanya Hainan 572025, China.
  • Fernie AR; Department of Molecular Physiology, Max-Planck-Institute of Molecular Plant Physiology, Am Mühlenberg 1, Potsdam-Golm 14476, Germany.
  • Luo J; Yazhouwan National Laboratory (YNL), Sanya Hainan 572025, China. Electronic address: jie.luo@hainanu.edu.cn.
Mol Plant ; 17(6): 972-985, 2024 Jun 03.
Article en En | MEDLINE | ID: mdl-38685707
ABSTRACT
Volatilomics is essential for understanding the biological functions and fragrance contributions of plant volatiles. However, the annotation coverage achieved using current untargeted and widely targeted volatomics (WTV) methods has been limited by low sensitivity and/or low acquisition coverage. Here, we introduce WTV 2.0, which enabled the construction of a high-coverage library containing 2111 plant volatiles, and report the development of a comprehensive selective ion monitoring (cSIM) acquisition method, including the selection of characteristic qualitative ions with the minimal ion number for each compound and an optimized segmentation method, that can acquire the smallest but sufficient number of ions for most plant volatiles, as well as the automatic qualitative and semi-quantitative analysis of cSIM data. Importantly, the library and acquisition method we developed can be self-expanded by incorporating compounds not present in the library, utilizing the obtained cSIM data. We showed that WTV 2.0 increases the median signal-to-noise ratio by 7.6-fold compared with the untargeted method, doubled the annotation coverage compared with the untargeted and WTV 1.0 methods in tomato fruit, and led to the discovery of menthofuran as a novel flavor compound in passion fruit. WTV 2.0 is a Python library with a user-friendly interface and is applicable to profiling of volatiles and primary metabolites in any species.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Compuestos Orgánicos Volátiles Idioma: En Revista: Mol Plant Asunto de la revista: BIOLOGIA MOLECULAR / BOTANICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido
Texto completo
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PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Compuestos Orgánicos Volátiles Idioma: En Revista: Mol Plant Asunto de la revista: BIOLOGIA MOLECULAR / BOTANICA Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Reino Unido