Expression Comparison of Oil Biosynthesis Genes in Oil Palm Mesocarp Tissue Using Custom Array.

Yick Ching Wong, Qi Bin Kwong, Heng Leng Lee, Chuang Kee Ong, Sean Mayes, Fook Tim Chew, David R Appleton, Harikrishna Kulaveerasingam
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引用次数: 15

Abstract

Gene expression changes that occur during mesocarp development are a major research focus in oil palm research due to the economic importance of this tissue and the relatively rapid increase in lipid content to very high levels at fruit ripeness. Here, we report the development of a transcriptome-based 105,000-probe oil palm mesocarp microarray. The expression of genes involved in fatty acid (FA) and triacylglycerol (TAG) assembly, along with the tricarboxylic acid cycle (TCA) and glycolysis pathway at 16 Weeks After Anthesis (WAA) exhibited significantly higher signals compared to those obtained from a cross-species hybridization to the Arabidopsis (p-value < 0.01), and rice (p-value < 0.01) arrays. The oil palm microarray data also showed comparable correlation of expression (r² = 0.569, p < 0.01) throughout mesocarp development to transcriptome (RNA sequencing) data, and improved correlation over quantitative real-time PCR (qPCR) (r² = 0.721, p < 0.01) of the same RNA samples. The results confirm the advantage of the custom microarray over commercially available arrays derived from model species. We demonstrate the utility of this custom microarray to gain a better understanding of gene expression patterns in the oil palm mesocarp that may lead to increasing future oil yield.

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油棕中果皮组织中油脂生物合成基因的自定义阵列表达比较
中果皮发育过程中发生的基因表达变化是油棕研究的主要研究重点,因为中果皮组织具有重要的经济意义,并且在果实成熟时脂质含量会相对快速地增加到非常高的水平。在这里,我们报告了基于转录组的105,000探针油棕中果皮微阵列的发展。与拟南芥(p值< 0.01)和水稻(p值< 0.01)杂交阵列相比,花后16周脂肪酸(FA)和甘油三酯(TAG)组装、三羧酸循环(TCA)和糖酵解途径相关基因的表达显著增加。油棕微阵列数据还显示,在整个中果皮发育过程中,转录组(RNA测序)数据的表达与转录组(RNA测序)数据具有相当的相关性(r²= 0.569,p < 0.01),并且与定量实时PCR (qPCR)数据的相关性有所提高(r²= 0.721,p < 0.01)。结果证实了自定义微阵列优于商业上可获得的来自模式物种的阵列。我们展示了这种定制微阵列的效用,以更好地了解油棕中果皮中的基因表达模式,这可能会导致未来石油产量的增加。
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来源期刊
自引率
0.00%
发文量
0
审稿时长
11 weeks
期刊介绍: High-Throughput (formerly Microarrays, ISSN 2076-3905) is a multidisciplinary peer-reviewed scientific journal that provides an advanced forum for the publication of studies reporting high-dimensional approaches and developments in Life Sciences, Chemistry and related fields. Our aim is to encourage scientists to publish their experimental and theoretical results based on high-throughput techniques as well as computational and statistical tools for data analysis and interpretation. The full experimental or methodological details must be provided so that the results can be reproduced. There is no restriction on the length of the papers. High-Throughput invites submissions covering several topics, including, but not limited to: Microarrays, DNA Sequencing, RNA Sequencing, Protein Identification and Quantification, Cell-based Approaches, Omics Technologies, Imaging, Bioinformatics, Computational Biology/Chemistry, Statistics, Integrative Omics, Drug Discovery and Development, Microfluidics, Lab-on-a-chip, Data Mining, Databases, Multiplex Assays.
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