Literature DB >> 22687573

Metabolite profiles of rice cultivars containing bacterial blight-resistant genes are distinctive from susceptible rice.

Jiao Wu1, Haichuan Yu, Haofu Dai, Wenli Mei, Xin Huang, Shuifang Zhu, Ming Peng.   

Abstract

The metabolic changes of bacterial blight-resistant line C418/Xa23 generated by molecular marker-assisted selection (n= 12), transgenic variety C418-Xa21 generated by using the Agrobacterium-mediated system (n= 12), and progenitor cultivar C418 (n= 12) were monitored using gas chromatography/mass spectrometry. The validation, discrimination, and establishment of correlative relationships between metabolite signals were performed by cluster analysis, principal component analysis, and partial least squares-discriminant analysis. Significant and unintended changes were observed in 154 components in C418/Xa23 and 48 components in C418-Xa21 compared with C418 (P< 0.05, Fold change > 2.0). The most significant decreases detected (P< 0.001) in both C418/Xa23 and C418-Xa21 were in three amino acids: glycine, tyrosine, and alanine, and four identified metabolites: malic acid, ferulic acid, succinic acid, and glycerol. Linoleic acid was increased specifically in C418/Xa23 which was derived from traditional breeding. This line, possessing a distinctive metabolite profile as a positive control, shows more differences vs. the parental than the transgenic line. Only succinic acid that falls outside the boundaries of natural variability between the two non-transgenic varieties C418 and C418/Xa23 should be further investigated with respect to safety or nutritional impact.

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Year:  2012        PMID: 22687573     DOI: 10.1093/abbs/gms043

Source DB:  PubMed          Journal:  Acta Biochim Biophys Sin (Shanghai)        ISSN: 1672-9145            Impact factor:   3.848


  5 in total

1.  Rice Xa21 primed genes and pathways that are critical for combating bacterial blight infection.

Authors:  Hai Peng; Zheng Chen; Zhiwei Fang; Junfei Zhou; Zhihui Xia; Lifen Gao; Lihong Chen; Lili Li; Tiantian Li; Wenxue Zhai; Weixiong Zhang
Journal:  Sci Rep       Date:  2015-07-17       Impact factor: 4.379

2.  Rice seed cultivar identification using near-infrared hyperspectral imaging and multivariate data analysis.

Authors:  Wenwen Kong; Chu Zhang; Fei Liu; Pengcheng Nie; Yong He
Journal:  Sensors (Basel)       Date:  2013-07-12       Impact factor: 3.576

Review 3.  Metabolomics of genetically modified crops.

Authors:  Carolina Simó; Clara Ibáñez; Alberto Valdés; Alejandro Cifuentes; Virginia García-Cañas
Journal:  Int J Mol Sci       Date:  2014-10-20       Impact factor: 5.923

Review 4.  The quest for tolerant varieties: the importance of integrating "omics" techniques to phenotyping.

Authors:  Michel Zivy; Stefanie Wienkoop; Jenny Renaut; Carla Pinheiro; Estelle Goulas; Sebastien Carpentier
Journal:  Front Plant Sci       Date:  2015-07-09       Impact factor: 5.753

Review 5.  Silicon era of carbon-based life: application of genomics and bioinformatics in crop stress research.

Authors:  Man-Wah Li; Xinpeng Qi; Meng Ni; Hon-Ming Lam
Journal:  Int J Mol Sci       Date:  2013-05-29       Impact factor: 5.923

  5 in total

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