Energy grass is a rapidly growing energy crop that is easy to cultivate and harvest. It can be used to produce biomass fuels, pulp, cellulose, and chemicals while reducing greenhouse gas emissions and enhancing soil quality. Typically grown in countries with vast open land, such as the United States, Canada, Brazil, and Australia, energy grass offers numerous advantages including high growth rate, low cost, high yield, strong adaptability to various terrains, minimal water requirements, and the ability to thrive in barren areas.
As energy grasses absorb significant amounts of carbon dioxide, they are considered an effective solution for mitigating global warming. As a renewable energy and biomass resource, energy grass has promising development prospects. In the coming decades, as demand for clean energy rises, more investments and advancements in energy-related projects are anticipated.
Moreover, energy efficiency is seen as a crucial carbon emission offset strategy. Many companies and governments are implementing measures to decrease their carbon footprints and offset residual emissions by planting energy grasses. This will further promote the development and application of energy technologies and related advancements.
The Energy Grass Genome Database is an online platform dedicated to collecting, organizing, and storing genomic data related to energy grass species. This database aims to provide comprehensive genomic information on various energy grasses, supporting researchers in uncovering new opportunities and applications within the bioenergy sector. By comparing genome sequences of distinct energy grasses, researchers can identify key genes and regulatory networks crucial for their growth and biomass production.
Containing genomic data for numerous energy grass species, such as sugarcane, straw, reed, and buckwheat, the database also offers corresponding annotation information. This includes gene function, gene expression patterns, and subcellular localization. Additionally, the platform provides researchers with a range of online tools like gene retrieval, multiple sequence alignment, and gene family clustering analysis, enabling users to conduct in-depth research.
In summary, the Energy Grass Genome Database serves as a valuable resource for researchers, facilitating the analysis of energy grass genomic characteristics and promoting innovation and growth in the bioenergy industry.
This database is designed to facilitate research for academic and educational purposes. Please refer to the database manual for detailed information about available features. When using the database, users must adhere to the following guidelines:
The database is mainly constructed and completed by the National JUNCAO Engineering Technology Research Center from Fujian Agriculture and Forestry University.
Team: Transcriptional Systems Biology Group
Email： ashelylinluo@126.com
Mailing Address：Fujian Agriculture and Forestry University No.15 Shangxiadian Road, Cangshan District Fuzhou 350028, China.
Luo, Lin, Dongmei Lin, Jinhui Li, Hao Chen, Qi Qu, Lin Zhang, Yuan Luo, et al. 2024. “ EGDB: A Comprehensive Multi-Omics Database for Energy Grasses and the Epigenomic Atlas of Pearl Millet” iMeta. e263. 10.1002/imt2.263
