Department of Ornamental Horticulture, Sichuan Agricultural University, 211 Huimin Road, Wenjiang District, Chengdu, Sichuan, 611130, People's Republic of China.
BMC Genomics. 2018 May 2;19(1):319. doi: 10.1186/s12864-018-4706-x.
Chrysanthemum is one kind of ornamental plant well-known and widely used in the world. However, its quality and production were severely affected by low temperature conditions in winter and early spring periods. Therefore, we used the RNA-Seq platform to perform a de novo transcriptome assembly to analyze chrysanthemum (Dendranthema grandiflorum) transcription response to low temperature.
Using Illumina sequencing technology, a total of 86,444,237 high-quality clean reads and 93,837 unigenes were generated from four libraries: T01, controls; T02, 4 °C cold acclimation (CA) for 24 h; T03, - 4 °C freezing treatments for 4 h with prior CA; and T04, - 4 °C freezing treatments for 4 h without prior CA. In total, 7583 differentially expressed genes (DEGs) of 36,462 annotated unigenes were identified. We performed GO and KEGG pathway enrichment analyses, and excavated a group of important cold-responsive genes related to low temperature sensing and signal transduction, membrane lipid stability, reactive oxygen species (ROS) scavenging and osmoregulation. These genes encode many key proteins in plant biological processes, such as protein kinases, transcription factors, fatty acid desaturase, lipid-transfer proteins, antifreeze proteins, antioxidase and soluble sugars synthetases. We also verified expression levels of 10 DEGs using quantitative real-time polymerase chain reaction (qRT-PCR). In addition, we performed the determination of physiological indicators of chrysanthemum treated at low temperature, and the results were basically consistent with molecular sequencing results.
In summary, our study presents a genome-wide transcript profile of Dendranthema grandiflorum var. jinba and provides insights into the molecular mechanisms of D. grandiflorum in response to low temperature. These data contributes to our deeper relevant researches on cold tolerance and further exploring new candidate genes for chilling-tolerance and freezing-tolerance chrysanthemum molecular breeding.
菊花是一种世界知名且广泛应用的观赏植物。然而,其品质和产量在冬春低温期受到严重影响。因此,我们利用 RNA-Seq 平台进行从头转录组组装,以分析菊花(Dendranthema grandiflorum)对低温的转录反应。
使用 Illumina 测序技术,从四个文库(T01:对照;T02:4°C 低温驯化 24 h;T03:先低温驯化后 -4°C 冷冻处理 4 h;T04:-4°C 冷冻处理 4 h 而无先低温驯化)中共产生了 86,444,237 条高质量清洁读段和 93,837 条 unigenes。总共鉴定了 36,462 个注释 unigenes中的 7583 个差异表达基因(DEGs)。我们进行了 GO 和 KEGG 通路富集分析,并挖掘了一组与低温感应和信号转导、膜脂稳定性、活性氧(ROS)清除和渗透调节相关的重要冷响应基因。这些基因编码植物生物过程中的许多关键蛋白,如蛋白激酶、转录因子、脂肪酸去饱和酶、脂质转移蛋白、抗冻蛋白、抗氧化酶和可溶性糖合成酶。我们还使用定量实时聚合酶链反应(qRT-PCR)验证了 10 个 DEG 的表达水平。此外,我们还对低温处理的菊花进行了生理指标的测定,结果与分子测序结果基本一致。
总之,本研究提供了菊花的全基因组转录谱,深入了解了菊花对低温的分子机制。这些数据有助于我们更深入地研究菊花的耐寒性,并进一步探索用于菊花耐寒性和抗冻性分子育种的新候选基因。