Proceedings of the National Academy of Sciences of the United States of America | 2019
Multiomics resolution of molecular events during a day in the life of Chlamydomonas
Abstract
Significance Chlamydomonas reinhardtii is the premier reference organism for understanding unicellular green algae. Chlamydomonas is an important model for photosynthesis as well as fermentation and other anaerobic pathways under dark anoxic conditions. We have produced a diurnal transcriptome, validated by subproteomic analyses, and matched with measurements of pigments, select metabolites, and physiological parameters. We report that the majority of the algal genome is differentially expressed over the course of the day and the timing of specific genes is dictated by their biological function. We also discovered that fermentation rather than respiration is the preferred metabolic fate of starch-derived glycolytic pyruvate. We offer our rich dataset to the algal and plant communities. The unicellular green alga Chlamydomonas reinhardtii displays metabolic flexibility in response to a changing environment. We analyzed expression patterns of its three genomes in cells grown under light–dark cycles. Nearly 85% of transcribed genes show differential expression, with different sets of transcripts being up-regulated over the course of the day to coordinate cellular growth before undergoing cell division. Parallel measurements of select metabolites and pigments, physiological parameters, and a subset of proteins allow us to infer metabolic events and to evaluate the impact of the transcriptome on the proteome. Among the findings are the observations that Chlamydomonas exhibits lower respiratory activity at night compared with the day; multiple fermentation pathways, some oxygen-sensitive, are expressed at night in aerated cultures; we propose that the ferredoxin, FDX9, is potentially the electron donor to hydrogenases. The light stress-responsive genes PSBS, LHCSR1, and LHCSR3 show an acute response to lights-on at dawn under abrupt dark-to-light transitions, while LHCSR3 genes also exhibit a later, second burst in expression in the middle of the day dependent on light intensity. Each response to light (acute and sustained) can be selectively activated under specific conditions. Our expression dataset, complemented with coexpression networks and metabolite profiling, should constitute an excellent resource for the algal and plant communities.