首页|WTV2.0:A high-coverage plant volatilomics method with a comprehensive selective ion monitoring acquisition mode

WTV2.0:A high-coverage plant volatilomics method with a comprehensive selective ion monitoring acquisition mode

扫码查看
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 vola-tomics(WTV)methods has been limited by low sensitivity and/or low acquisition coverage.Here,we intro-duce 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 com-pounds 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.

volatilomicswidely targeted methodsGC-MSselective ion monitoringplant volatiles

Honglun Yuan、Yiding Jiangfang、Zhenhuan Liu、Rongxiu Su、Qiao Li、Chuanying Fang、Sishu Huang、Xianqing Liu、Alisdair R.Fernie、Jie Luo

展开 >

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

Department of Molecular Physiology,Max-Planck-Institute of Molecular Plant Physiology,Am Mühlenberg 1,Potsdam-Golm 14476,Germany

key project of regional joint fund of National Natural Science FoundationNational Natural Science Foundation of ChinaHainan international science and technology cooperation research and development projectSanya Yazhou Sci-Tech CityHainan Yazhou Bay Seed Lab"111"Project111 ProjectHainan Provincial Natural Science Foundation of ChinaHainan Provincial Natural science Foundation of ChinaPhD Scientific Research and Innovation Foundation of Sanya Yazhou Bay Science and Technology CityBasic Research Project in 2023 of Yazhouwan National Laboratory

U22A20476GHYF2023005SYND-2022-02NoB21HJ0903NoD20024320MS011HSPHDSRF-2023-12-001

2024

分子植物(英文版)
中科院上海生命科学研究院植物生理生态所 中国植物生理学会

分子植物(英文版)

CSTPCD
影响因子:0.659
ISSN:1674-2052
年,卷(期):2024.17(6)