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The Identification and Interpretation of Differences in the Transcriptomes of Organically and Conventionally Grown Potato Tubers

机译:有机和常规种植马铃薯块茎转录组差异的鉴定和解释

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In the European integrated research project SAFEFOODS, one of the aims was to further establish the potential of transcriptomics for the assessment of differences between plant varieties grown under different environmental conditions. Making use of the knowledge of cellular processes and interactions is one of the ways to obtain a better understanding of the differences found with transcriptomics. For the present study the potato genotype Sante was grown under both organic and conventional fertilizer, and each combined with either organic or conventional crop protection, giving four different treatments. Samples were derived from the European project QualityLowInputFood (QLIF). Microarray data were analyzed using different statistical tools (multivariate, principal components analysis (PCA); univariate, analysis of variance (ANOVA)) and with pathway analysis (hypergeometric distribution (HGD) and gene set enrichment analysis (GSEA)). Several biological processes were implicated as a result of the different treatments of the plants. Most obvious were the lipoxygenase pathway, with higher expression in organic fertilizer and lower expression in organic crop protection; the starch synthase pathway, with higher expression in both organic crop protection and fertilizer; and the biotic stress pathway, with higher expression in organic fertilizer. This study confirmed that gene expression profiling in combination with pathway analysis can identify and characterize differences between plants grown under different environmental conditions.
机译:在欧洲综合研究项目SAFEFOODS中,目标之一是进一步建立转录组学潜力,以评估在不同环境条件下生长的植物品种之间的差异。利用细胞过程和相互作用的知识是更好地了解转录组学差异的方法之一。在本研究中,马铃薯基因型Sante在有机肥料和常规肥料下生长,并分别与有机或常规作物保护相结合,提供了四种不同的处理方法。样本来自欧洲项目QualityLowInputFood(QLIF)。使用不同的统计工具(多元,主成分分析(PCA);单变量,方差分析(ANOVA))和路径分析(超几何分布(HGD)和基因组富集分析(GSEA))分析微阵列数据。由于对植物的不同处理,牵涉到几种生物学过程。最明显的是脂氧合酶途径,在有机肥料中表达较高,而在有机作物保护中则较低。淀粉合酶途径,在有机作物保护和肥料中都有较高的表达;以及生物胁迫途径,在有机肥料中的表达更高。这项研究证实,基因表达谱分析与途径分析相结合可以识别和表征在不同环境条件下生长的植物之间的差异。

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