Literature DB >> 19173602

Transcriptome analysis of potato tubers--effects of different agricultural practices.

Jeroen P van Dijk1, Katarina Cankar, Stanley J Scheffer, Henriek G Beenen, Louise V T Shepherd, Derek Stewart, Howard V Davies, Steve J Wilkockson, Carlo Leifert, Kristina Gruden, Esther J Kok.   

Abstract

The use of profiling techniques such as transcriptomics, proteomics, and metabolomics has been proposed to improve the detection of side effects of plant breeding processes. This paper describes the construction of a food safety-oriented potato cDNA microarray (FSPM). Microarray analysis was performed on a well-defined set of tuber samples of two different potato varieties, grown under different, well-recorded environmental conditions. Data were analyzed to assess the potential of transcriptomics to detect differences in gene expression due to genetic differences or environmental conditions. The most pronounced differences were found between the varieties Sante and Lady Balfour, whereas differences due to growth conditions were less significant. Transcriptomics results were confirmed by quantitative PCR. Furthermore, the bandwidth of natural variation of gene expression was explored to facilitate biological and/or toxicological evaluation in future assessments.

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Year:  2009        PMID: 19173602     DOI: 10.1021/jf802815d

Source DB:  PubMed          Journal:  J Agric Food Chem        ISSN: 0021-8561            Impact factor:   5.279


  12 in total

1.  Natural variation explains most transcriptomic changes among maize plants of MON810 and comparable non-GM varieties subjected to two N-fertilization farming practices.

Authors:  Anna Coll; Anna Nadal; Rosa Collado; Gemma Capellades; Mikael Kubista; Joaquima Messeguer; Maria Pla
Journal:  Plant Mol Biol       Date:  2010-03-27       Impact factor: 4.076

2.  Proteomic analysis of MON810 and comparable non-GM maize varieties grown in agricultural fields.

Authors:  Anna Coll; Anna Nadal; Michel Rossignol; Pere Puigdomènech; Maria Pla
Journal:  Transgenic Res       Date:  2010-10-23       Impact factor: 2.788

Review 3.  Evaluation of genetically engineered crops using transcriptomic, proteomic, and metabolomic profiling techniques.

Authors:  Agnès E Ricroch; Jean B Bergé; Marcel Kuntz
Journal:  Plant Physiol       Date:  2011-02-24       Impact factor: 8.340

4.  A protocol for extraction of high-quality RNA and DNA from peanut plant tissues.

Authors:  Dongmei Yin; Haiying Liu; Xingguo Zhang; Dangqun Cui
Journal:  Mol Biotechnol       Date:  2011-10       Impact factor: 2.695

5.  Are Organic Certified Carrots Richer in Health-Promoting Phenolics and Carotenoids than the Conventionally Grown Ones?

Authors:  Dominika Średnicka-Tober; Klaudia Kopczyńska; Rita Góralska-Walczak; Ewelina Hallmann; Marcin Barański; Krystian Marszałek; Renata Kazimierczak
Journal:  Molecules       Date:  2022-06-29       Impact factor: 4.927

6.  AraGEM, a genome-scale reconstruction of the primary metabolic network in Arabidopsis.

Authors:  Cristiana Gomes de Oliveira Dal'Molin; Lake-Ee Quek; Robin William Palfreyman; Stevens Michael Brumbley; Lars Keld Nielsen
Journal:  Plant Physiol       Date:  2009-12-31       Impact factor: 8.340

7.  Selection of reference genes for transcriptional analysis of edible tubers of potato (Solanum tuberosum L.).

Authors:  Roberta Fogliatto Mariot; Luisa Abruzzi de Oliveira; Marleen M Voorhuijzen; Martijn Staats; Ronald C B Hutten; Jeroen P Van Dijk; Esther Kok; Jeverson Frazzon
Journal:  PLoS One       Date:  2015-04-01       Impact factor: 3.240

Review 8.  Fluorescence-based bioassays for the detection and evaluation of food materials.

Authors:  Kentaro Nishi; Shin-Ichiro Isobe; Yun Zhu; Ryoiti Kiyama
Journal:  Sensors (Basel)       Date:  2015-10-13       Impact factor: 3.576

9.  Modelling pathways to Rubisco degradation: a structural equation network modelling approach.

Authors:  Catherine Tétard-Jones; Angharad M R Gatehouse; Julia Cooper; Carlo Leifert; Steven Rushton
Journal:  PLoS One       Date:  2014-02-03       Impact factor: 3.240

Review 10.  Higher antioxidant and lower cadmium concentrations and lower incidence of pesticide residues in organically grown crops: a systematic literature review and meta-analyses.

Authors:  Marcin Barański; Dominika Srednicka-Tober; Nikolaos Volakakis; Chris Seal; Roy Sanderson; Gavin B Stewart; Charles Benbrook; Bruno Biavati; Emilia Markellou; Charilaos Giotis; Joanna Gromadzka-Ostrowska; Ewa Rembiałkowska; Krystyna Skwarło-Sońta; Raija Tahvonen; Dagmar Janovská; Urs Niggli; Philippe Nicot; Carlo Leifert
Journal:  Br J Nutr       Date:  2014-06-26       Impact factor: 3.718

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