TY - JOUR
T1 - PhytoNet
T2 - comparative co-expression network analyses across phytoplankton and land plants
AU - Ferrari, Camilla
AU - Proost, Sebastian
AU - Ruprecht, Colin
AU - Mutwil, Marek
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Phytoplankton consists of autotrophic, photosynthesizing microorganisms that are a crucial component of freshwater and ocean ecosystems. However, despite being the major primary producers of organic compounds, accounting for half of the photosynthetic activity worldwide and serving as the entry point to the food chain, functions of most of the genes of the model phytoplankton organisms remain unknown. To remedy this, we have gathered publicly available expression data for one chlorophyte, one rhodophyte, one haptophyte, two heterokonts and four cyanobacteria and integrated it into our PlaNet (Plant Networks) database, which now allows mining gene expression profiles and identification of co-expressed genes of 19 species. We exemplify how the co-expressed gene networks can be used to reveal functionally related genes and how the comparative features of PhytoNet allow detection of conserved transcriptional programs between cyanobacteria, green algae, and land plants. Additionally, we illustrate how the database allows detection of duplicated transcriptional programs within an organism, as exemplified by two putative DNA repair programs within Chlamydomonas reinhardtii. PhytoNet is available from www.gene2function.de.
AB - Phytoplankton consists of autotrophic, photosynthesizing microorganisms that are a crucial component of freshwater and ocean ecosystems. However, despite being the major primary producers of organic compounds, accounting for half of the photosynthetic activity worldwide and serving as the entry point to the food chain, functions of most of the genes of the model phytoplankton organisms remain unknown. To remedy this, we have gathered publicly available expression data for one chlorophyte, one rhodophyte, one haptophyte, two heterokonts and four cyanobacteria and integrated it into our PlaNet (Plant Networks) database, which now allows mining gene expression profiles and identification of co-expressed genes of 19 species. We exemplify how the co-expressed gene networks can be used to reveal functionally related genes and how the comparative features of PhytoNet allow detection of conserved transcriptional programs between cyanobacteria, green algae, and land plants. Additionally, we illustrate how the database allows detection of duplicated transcriptional programs within an organism, as exemplified by two putative DNA repair programs within Chlamydomonas reinhardtii. PhytoNet is available from www.gene2function.de.
KW - Cyanobacteria/genetics
KW - Databases, Genetic
KW - Embryophyta/genetics
KW - Gene Expression Regulation, Plant/genetics
KW - Gene Regulatory Networks/genetics
KW - Internet
KW - Photosynthesis/genetics
KW - Phytoplankton/genetics
KW - Software
KW - Transcriptome
U2 - 10.1093/nar/gky298
DO - 10.1093/nar/gky298
M3 - Journal article
C2 - 29718316
SN - 0305-1048
VL - 46
SP - W76-W83
JO - Nucleic Acids Research
JF - Nucleic Acids Research
IS - W1
ER -