Literature DB >> 15596481

Application of metabolite profiling to the identification of traits in a population of tomato introgression lines.

S A Overy1, H J Walker, S Malone, T P Howard, C J Baxter, L J Sweetlove, S A Hill, W P Quick.   

Abstract

Naturally occurring variation in wild species can be used to increase the genetic diversity of cultivated crops and improve agronomic value. Populations of introgression lines carrying wild species alleles afford an opportunity to identify traits associated with the introgressed regions, and facilitate characterization of the biochemistry and genetics underlying these phenotypes. Understanding plant metabolic pathways and the interactions between genes, phenotype, and environment is fundamental to functional genomics. Successful analysis of the complex network of plant metabolism requires analytical methods able to record information on as many metabolites as possible. Metabolite profiling is used to provide a snapshot of the metabolome in samples which differ in a known factor such as genetic background. Differences between the metabolite profiles can identify those metabolites/metabolic pathways affected by the introgression and allow genetic maps for metabolic alterations to be established. A Time-of-Flight Mass Spectrometry method is presented, with associated data reduction, used for profiling aqueous metabolites fom tomato. Analysis of ripe fruits of two tomato species, Lycopersicon esculentum and L. pennellii, showed differences in the amounts of many metabolites, including organic acids and sugars. Six introgression lines, L. pennellii introgressions within L. esculentum, were also examined and showed that Principal Component Analysis can reveal subtle differences in metabolism of the introgressed lines when compared to their parents.

Entities:  

Mesh:

Year:  2004        PMID: 15596481     DOI: 10.1093/jxb/eri070

Source DB:  PubMed          Journal:  J Exp Bot        ISSN: 0022-0957            Impact factor:   6.992


  16 in total

1.  Development of a genomic library of near isogenic lines (NILs) in melon (Cucumis melo L.) from the exotic accession PI161375.

Authors:  Iban Eduardo; Pere Arús; Antonio J Monforte
Journal:  Theor Appl Genet       Date:  2005-10-06       Impact factor: 5.699

2.  A signal filtering method for improved quantification and noise discrimination in fourier transform ion cyclotron resonance mass spectrometry-based metabolomics data.

Authors:  Tristan G Payne; Andrew D Southam; Theodoros N Arvanitis; Mark R Viant
Journal:  J Am Soc Mass Spectrom       Date:  2009-02-07       Impact factor: 3.109

3.  Pre-analytic Considerations for Mass Spectrometry-Based Untargeted Metabolomics Data.

Authors:  Dominik Reinhold; Harrison Pielke-Lombardo; Sean Jacobson; Debashis Ghosh; Katerina Kechris
Journal:  Methods Mol Biol       Date:  2019

4.  Untargeted metabolic quantitative trait loci analyses reveal a relationship between primary metabolism and potato tuber quality.

Authors:  Natalia Carreno-Quintero; Animesh Acharjee; Chris Maliepaard; Christian W B Bachem; Roland Mumm; Harro Bouwmeester; Richard G F Visser; Joost J B Keurentjes
Journal:  Plant Physiol       Date:  2012-01-05       Impact factor: 8.340

5.  Selecting a set of wild barley introgression lines and verification of QTL effects for resistance to powdery mildew and leaf rust.

Authors:  Inga Schmalenbach; Niklas Körber; Klaus Pillen
Journal:  Theor Appl Genet       Date:  2008-07-29       Impact factor: 5.699

6.  Identification and verification of QTLs for agronomic traits using wild barley introgression lines.

Authors:  Inga Schmalenbach; Jens Léon; Klaus Pillen
Journal:  Theor Appl Genet       Date:  2008-11-01       Impact factor: 5.699

7.  Metabolic engineering of flavonoids in tomato (Solanum lycopersicum): the potential for metabolomics.

Authors:  Arnaud Bovy; Elio Schijlen; Robert D Hall
Journal:  Metabolomics       Date:  2007-09-09       Impact factor: 4.290

8.  Analysis of plant leaf metabolites reveals no common response to insect herbivory by Pieris rapae in three related host-plant species.

Authors:  A C Riach; M V L Perera; H V Florance; S D Penfield; J K Hill
Journal:  J Exp Bot       Date:  2015-02-24       Impact factor: 6.992

9.  Integrated 'Omics', Targeted Metabolite and Single-cell Analyses of Arctic Snow Algae Functionality and Adaptability.

Authors:  Stefanie Lutz; Alexandre M Anesio; Katie Field; Liane G Benning
Journal:  Front Microbiol       Date:  2015-11-25       Impact factor: 5.640

10.  Metabolomic analysis of the food-borne pathogen Campylobacter jejuni: application of direct injection mass spectrometry for mutant characterisation.

Authors:  Robert M Howlett; Matthew P Davey; W Paul Quick; David J Kelly
Journal:  Metabolomics       Date:  2014-03-06       Impact factor: 4.290

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.