000746102 000__ 03453cam\a2200433Ki\4500 000746102 001__ 746102 000746102 005__ 20230306141236.0 000746102 006__ m\\\\\o\\d\\\\\\\\ 000746102 007__ cr\cn\nnnunnun 000746102 008__ 141124s2015\\\\ne\\\\\\ob\\\\000\0\eng\d 000746102 020__ $$a9789401792912$$qelectronic book 000746102 020__ $$a9401792917$$qelectronic book 000746102 020__ $$z9789401792905 000746102 0247_ $$a10.1007/978-94-017-9291-2$$2doi 000746102 035__ $$aSP(OCoLC)ocn896824897 000746102 035__ $$aSP(OCoLC)896824897 000746102 040__ $$aN$T$$beng$$erda$$epn$$cN$T$$dN$T$$dGW5XE$$dYDXCP$$dCOO$$dOCLCF$$dIDEBK$$dVLB$$dOHI$$dOCLCA 000746102 049__ $$aISEA 000746102 050_4 $$aQK881$$b.P53 2015eb 000746102 08204 $$a572.42$$223 000746102 24500 $$aPlant metabolomics$$h[electronic resource] :$$bmethods and applications /$$cXiaoquan Qi, Xiaoya Chen, Yulan Wang, editors. 000746102 264_1 $$aDordrecht [The Netherlands] :$$bSpringer ;$$aBeijing [China] :$$bChemical Industry Press,$$c[2015] 000746102 300__ $$a1 online resource 000746102 336__ $$atext$$btxt$$2rdacontent 000746102 337__ $$acomputer$$bc$$2rdamedia 000746102 338__ $$aonline resource$$bcr$$2rdacarrier 000746102 504__ $$aIncludes bibliographical references. 000746102 5050_ $$aOverview -- Gas Chromatography Mass Spectrometry Coupling Techniques -- LC-MS in Plant Metabolomics -- Nuclear Magnetic Resonance Techniques -- Multivariate Analysis of Metabolomics Data -- Metabolomic data processing based on mass spectrometry platforms -- Metabolite Qualitative Methods and the Introduction of Metabolomics Database -- Plant Metabolic Network -- Applications of LC-MS in plant metabolomics -- Application of Metabolomics in the Identification of Chinese Herbal Medicine -- Metabolomics based Studies on Artemisinin Biosynthesis -- NMR-Based Metabolomic Methods and Applications -- Metabolomics research of quantitative disease resistance against barley leaf rust. 000746102 506__ $$aAccess limited to authorized users. 000746102 520__ $$aThis book introduces plant metabolomics, an experimental approach that is important in both functional genomics and systems biology. It can be argued that metabolite data is most closely linked to phenotypes and that changes in metabolite content or metabolic networks can therefore indicate gene function more directly than mRNA transcript or protein based-approaches. Additionally, the identification of metabolic markers has important applications in plant breeding. The book, written by researchers who are active in plant metabolomics in China, not only introduces the fundamental concepts and the latest methodological advances in the field of plant metabolomics, but also details new studies from the respective scientific programs of the authors and thus reflects the current state of domestic plant metabolomics research. Professor Xiaoquan Qi is the principal investigator at the Institute of Botany, CAS. Professor Xiaoya Chen is a member of the Chinese Academy of Science and also is the principal investigator at the Shanghai Institutes for Biological Sciences, CAS. Professor Yulan Wang is leading a team in BioSpectroscopy and Metabolomics at the Wuhan Institute of Physics and Mathematics, CAS. 000746102 650_0 $$aPlants$$xMetabolism. 000746102 7001_ $$aXiaoquan, Qi,$$eeditor. 000746102 7001_ $$aXiaoya, Chen,$$eeditor. 000746102 7001_ $$aYulan, Wang$$c(Professor),$$eeditor. 000746102 77608 $$iPrint version:$$z9789401792905 000746102 85280 $$bebk$$hSpringerLink 000746102 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-94-017-9291-2$$zOnline Access$$91397441.1 000746102 909CO $$ooai:library.usi.edu:746102$$pGLOBAL_SET 000746102 980__ $$aEBOOK 000746102 980__ $$aBIB 000746102 982__ $$aEbook 000746102 983__ $$aOnline 000746102 994__ $$a92$$bISE