Biology Department University of Arkansas at Little Rock, 2801 South University Ave. Little Rock, Arkansas, 72204, USA.
Aquatic and Crop Resources Development, National Research Council of Canada, 110 Gymnasium Place, Saskatoon, SK, S7N 0W9, Canada.
Sci Rep. 2017 May 31;7(1):2580. doi: 10.1038/s41598-017-02827-5.
Macrosclereid cells, which are a layer in the seed coat of Medicago truncatula, accumulate large amounts of phytochemicals during their development. But little is known about the complex and dynamic changes during macrosclereid cell development. To characterize the phytochemicals and the related gene expression during the development of M. truncatula macrosclereid cells, a high performance liquid chromatography-mass spectrometry (HPLC-MS) assay and microarray study were conducted on transcriptome changes from macrosclereid cell during seed development. A total of 16 flavonoids by HPLC-MS and 4861 genes exhibited significant differences at transcript levels by microarray analysis were identified for macrosclerid cells at six different time points during seed development. 815 abiotic and biotic stress genes, 223 transcriptional factors (TFs), and 155 annotated transporter proteins exhibited differential expression during the development of macrosclereid cells. A total of 102 genes were identified as involved in flavonoid biosynthesis, phenypropanoid biosynthesis, and flavone and flavonol biosynthesis. We performed a weighted gene co-regulatory network (WGCNA) to analyze the gene-flavonoid association and rebuilt the gene regulatory network during macrosclereid cell development. Our studies revealed that macrosclereid cells are, beside as the first barrier of defense against diseases, an excellent model system to investigate the regulatory network that governs flavonoid biosynthesis.
在蒴果豌豆（Medicago truncatula）的种皮中，厚壁细胞是一层，在发育过程中会积累大量的植物化学物质。但对于厚壁细胞发育过程中的复杂和动态变化，人们知之甚少。为了研究蒴果豌豆厚壁细胞发育过程中植物化学物质和相关基因表达的特征，本研究采用高效液相色谱-质谱（HPLC-MS）检测法和基因芯片技术对种子发育过程中厚壁细胞的转录组变化进行了分析。在蒴果豌豆种子发育过程中，总共鉴定出 16 种类黄酮通过 HPLC-MS 和 4861 个基因通过微阵列分析显示在转录水平上有显著差异。815 个非生物和生物胁迫基因、223 个转录因子（TFs）和 155 个注释转运蛋白在厚壁细胞发育过程中表现出差异表达。总共鉴定出 102 个基因参与类黄酮生物合成、苯丙烷生物合成以及黄酮和黄酮醇生物合成。我们进行了加权基因共调控网络（WGCNA）分析，以分析基因-类黄酮的关联，并重建厚壁细胞发育过程中的基因调控网络。我们的研究表明，厚壁细胞除了作为第一道防御疾病的屏障外，还是研究调控黄酮类生物合成的调控网络的极佳模型系统。
