Project description:Chrysanthemum is a garden plant with good economic benefit and high ornamental value. Chrysanthemum in the key period of flowering in autumn and winter, vulnerable to cold damage, affecting the normal growth of the chrysanthemum plant and even death. little is known regarding the study of histone crotonylation in plant cold response. In this study, we first obtained reference chrysanthemum transcriptome data via RNA sequencing. Next, we quantitatively investigated the chrysanthemum proteome, crotonylation, and the association between them in chrysanthemum following low temperature. In total, 365669 unigenes, 6693 proteins and 2017 crotonylation sites were quantified under low temperature stress. There were 24631 up-regulated and 22648 down-regulated unigenes (absolute log2-fold change > 1 and P value<0.05), 393 up-regulated and 500 down-regulated proteins using a 1.2-fold threshold (P<0.05). The lysine crotonylation mainly influenced in photosynthesis, ribosome, antioxidant enzyme and ROS system. In the process of low temperature, 61 lysine crotonylation sites in 89 proteins were up-regulated and 87 lysine crotonylation sites in 72 proteins are down-regulated (1.2-fold threshold, P<0.05).
Project description:We generated 12 Gb of high-quality sequencing data (~6 Gb per sample) to clarify the molecular mechanism of salt tolerance between wild tipe and transgenic DgWRKY5 chrysanthemum under normal condition. A total of 1078 differentially expressed genes (DEGs) (593 up-regulated and 485 down-regulated) were identified between CK and DgWRKY5, including genes encoding transcription factors and protein kinases. We identified numerous differentially expressed genes that exhibited distinct expression patterns, and stress-related genes that were highly differentiated in wild tipe and transgenic DgWRKY5 chrysanthemum. These genes have known or potential roles in stress tolerance relative and were enriched in functional gene categories potentially responsible for chrysanthemum resistance. Therefore, they are appealing candidates for further investigation of the gene expression and associated regulatory mechanisms related to stress response .
Project description:Gene expression analysis of chrysanthemum infected with three different viruses including Cucumber mosaic virus, Tomato spotted wilt virus, and Potato virus X have been performed using the chrysanthemum 135K microarray. Mock and each virus infected chrysanthemum plants were subjected for microarray analysis.
Project description:Chrysanthemums are one of the most industrially important cut flowers worldwide. However, their segmental allopolyploidy and self-incompatibility have prevented the application of genetic analysis and modern breeding strategies. We thus developed a model strain, Gojo-0 (Chrysanthemum seticuspe), which is a diploid and self-compatible pure line. Here, we present the 3.05 Gb chromosome-level reference genome sequence, which covered 97% of the C. seticuspe genome. The genome contained more than 80% interspersed repeats, of which retrotransposons accounted for 72%. We identified recent segmental duplication and retrotransposon expansion in C. seticuspe, contributing to arelatively large genome size. Furthermore, we identified a retrotransposon family, SbdRT, which was enriched in gene-dense genome regions and had experienced a very recent transposition burst. We also demonstrated that the chromosome-level genome sequence facilitates positional cloning in C. seticuspe. The genome sequence obtained here can greatly contribute as a reference for chrysanthemum in front-line breeding including genome editing.
Project description:To study plant organs, it is necessary to investigate the three-dimensional (3D) structures of plants. In recent years, non-destructive measurements through computed tomography (CT) have been used to understand the 3D structures of plants. In this study, we use the Chrysanthemum seticuspe capitulum inflorescence as an example and focus on contact points between the receptacles and florets within the 3D capitulum inflorescence bud structure to investigate the 3D arrangement of the florets on the receptacle. To determine the 3D order of the contact points, we constructed slice images from the CT volume data and detected the receptacles and florets in the image. However, because each CT sample comprises hundreds of slice images to be processed and each C. seticuspe capitulum inflorescence comprises several florets, manually detecting the receptacles and florets is labor-intensive. Therefore, we propose an automatic contact point detection method based on CT slice images using image recognition techniques. The proposed method improves the accuracy of contact point detection using prior knowledge that contact points exist only around the receptacle. In addition, the integration of the detection results enables the estimation of the 3D position of the contact points. According to the experimental results, we confirmed that the proposed method can detect contacts on slice images with high accuracy and estimate their 3D positions through clustering. Additionally, the sample-independent experiments showed that the proposed method achieved the same detection accuracy as sample-dependent experiments.