TY - JOUR
T1 - ALCOdb
T2 - Gene coexpression database for microalgae
AU - Aoki, Yuichi
AU - Okamura, Yasunobu
AU - Ohta, Hiroyuki
AU - Kinoshita, Kengo
AU - Obayashi, Takeshi
N1 - Funding Information:
This research was supported by the Japan Science and Technology Corporation [CREST research project 11102558 to T.O., Grants-in-Aid for Innovative Areas (4114005 to T.O.) and for Scientific Research (15K20863 to Y.A. and 15K18464 to T.O.)].
Publisher Copyright:
© The Author 2015.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems.
AB - In the era of energy and food shortage, microalgae have gained much attention as promising sources of biofuels and food ingredients. However, only a small fraction of microalgal genes have been functionally characterized. Here, we have developed the Algae Gene Coexpression database (ALCOdb; http://alcodb.jp), which provides gene coexpression information to survey gene modules for a function of interest. ALCOdb currently supports two model algae: the green alga Chlamydomonas reinhardtii and the red alga Cyanidioschyzon merolae. Users can retrieve coexpression information for genes of interest through three unique data pages: (i) Coexpressed Gene List; (ii) Gene Information; and (iii) Coexpressed Gene Network. In addition to the basal coexpression information, ALCOdb also provides several advanced functionalities such as an expression profile viewer and a differentially expressed gene search tool. Using these user interfaces, we demonstrated that our gene coexpression data have the potential to detect functionally related genes and are useful in extrapolating the biological roles of uncharacterized genes. ALCOdb will facilitate molecular and biochemical studies of microalgal biological phenomena, such as lipid metabolism and organelle development, and promote the evolutionary understanding of plant cellular systems.
KW - Chlamydomonas reinhardtii
KW - Comparative transcriptomics
KW - Cyanidioschyzon merolae
KW - Database
KW - Gene coexpression
KW - Microalgae
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U2 - 10.1093/pcp/pcv190
DO - 10.1093/pcp/pcv190
M3 - Article
C2 - 26644461
AN - SCOPUS:84964825941
SN - 0032-0781
VL - 57
SP - e3
JO - Plant and Cell Physiology
JF - Plant and Cell Physiology
IS - 1
ER -