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Petunia, which has been prevalently cultivated in landscaping, is a dicotyledonous herbaceous flower of high ornamental value. Annually, there is a massive worldwide market demand for petunia seeds. The normal development of anther is the necessary prerequisite for the plants to generate seeds. However, the knowledge of petunia anther development processes is still limited. To better understand the mechanisms of petunia anther development, the transcriptomes and metabolomes of petunia anthers at three typical development stages were constructed and then used to detect the gene expression patterns and primary metabolite profiles during the anther development processes. Results suggested that there were many differentially-expressed genes (DEGs) that mainly participated in photosynthesis and starch and sucrose metabolism when DEGs were compared between the different development stages of anthers. In this study, fructose and glucose, which were involved in starch and sucrose metabolism, were taken as the most important metabolites by partial least-squares discriminate analysis (PLS-DA). Additionally, the qRT-PCR analysis of the photosynthetic-related genes all showed decreased expression trends along with the anther development. These pieces of evidence indicated that the activities of energy and carbohydrate metabolic pathways were gradually reduced during all the development stages of anther, which affects the sink strength. Overall, this work provides a novel and comprehensive understanding of the metabolic processes in petunia anthers.
Pubmed ID: 29570614
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Database of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP.
View all literature mentionsIntegrated database resource consisting of 16 main databases, broadly categorized into systems information, genomic information, and chemical information. In particular, gene catalogs in completely sequenced genomes are linked to higher-level systemic functions of cell, organism, and ecosystem. Analysis tools are also available. KEGG may be used as reference knowledge base for biological interpretation of large-scale datasets generated by sequencing and other high-throughput experimental technologies.
View all literature mentionsA database of protein families, each represented by multiple sequence alignments and hidden Markov models (HMMs). Users can analyze protein sequences for Pfam matches, view Pfam family annotation and alignments, see groups of related families, look at the domain organization of a protein sequence, find the domains on a PDB structure, and query Pfam by keywords. There are two components to Pfam: Pfam-A and Pfam-B. Pfam-A entries are high quality, manually curated families that may automatically generate a supplement using the ADDA database. These automatically generated entries are called Pfam-B. Although of lower quality, Pfam-B families can be useful for identifying functionally conserved regions when no Pfam-A entries are found. Pfam also generates higher-level groupings of related families, known as clans (collections of Pfam-A entries which are related by similarity of sequence, structure or profile-HMM).
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