Industrial oil-producing microalgae can use light energy to convert carbon dioxide and water into oils on a large scale. Therefore, it is a potential solution for the sustainable supply of food, nutrition and fuel for human society.
To promote resource sharing and research cooperation for the synthetic biology and molecular breeding of industrial oil-producing microalgae, an international team led by Single-Cell Center (SCC), Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT) of the Chinese Academy of Sciences (CAS), has released the "NanDeSyn Database". This work was published in The Plant Journal on Oct. 25.
Nannochloropsis spp. is industrial microalgae that can be grown outdoors in a large scale for producing oils. They have highly attractive features as "photosynthetic yeast", such as a haploid nuclear genome of ~30M base pairs, simple and reliable DNA transformation, high genome-editing efficiency, and flexible gene expression regulation techniques.
The global Nannochloropsis research community has accumulated a large amount of functional genomics data, as well as genetic resources such as plasmids and mutant strains.
The "NanDeSyn Database", developed by GONG Yanhai, et al., from SCC, and Nam Kyu Kang, et al., from Korea Advanced Institute of Science and Technology (KAIST), systematically collects and integrates functional genomics and epigenetics data including the latest genome sequences, gene annotations, transcriptomes, proteomes, and small RNAs of all Nannochloropsis species.
At the same time, online data mining tools such as gene search, genome comparison, collinearity analysis, gene enrichment analysis, metabolic pathway analysis, and genome browser are provided through the website. In addition, combined with literature research, the present research status of each gene, as well as the corresponding vectors and mutant strains, are displayed, so as to promote the free sharing of these research materials.
Reference: Gong Y, Kang NK, Kim YU, et al. The NanDeSyn Database for Nannochloropsis systems and synthetic biology. Plant J. 2020. doi:10.1111/tpj.15025
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