Project description:Interest in exploiting algae as a biofuel source and the role of nutrient deficiency in inducing triacylglyceride (TAG) accumulation in cells necessitates a strategy to efficiently formulate species-specific culture media that can be easily manipulated. Using the reference organism Chlamydomonas reinhardtii, we tested the hypothesis that modeling trace element supplements on the ionomes of cells would result in optimized cell growth. We characterized the ionomes of multiple wild-type Chlamydomonas strains in various culture conditions and developed a revised trace element solution to parallel our measurements. Comparison of cells growing in the revised supplement versus a traditional trace element solution revealed faster growth rates and higher maximum cell densities with the revised recipe. RNA-seq analysis of cultures growing in the traditional versus revised medium suggest that the variation in transcriptomes was smaller than that found between laboratories using the same supplement. Visual observation did not reveal defects in cell motility or mating efficiency. Ni2+-inducible expression from the CYC6 promoter remained a useful tool, albeit with an increased amount of Ni2+ supplementation due to the introduction of an EDTA buffer system in the revised medium. Equilibrium modeling of the revised supplement predicts less metal precipitation in the revised medium. Other advantages include more facile preparation of trace element stock solutions that can readily be adapted for deficiency studies, a reduction in total chemical use, a more consistent batch-to-batch formulation, and long-term stability (up to 5 years). Under the new growth regime, we analyzed cells growing under different macro- and micronutrient-deficiencies. In N and S deficiency, cells accumulate TAG as well in the new medium as previously demonstrated. Fe and Zn deficiency also induced TAG accumulation as suggested by Nile Red and Bodipy staining. This ionomic approach can be used to efficiently optimize culturing conditions for other algal species to improve growth and assay cell physiology.

Project description:BackgroundRecent advances in the field of metabolic engineering have been expedited by the availability of genome sequences and metabolic modelling approaches. The complete sequencing of the C. reinhardtii genome has made this unicellular alga a good candidate for metabolic engineering studies; however, the annotation of the relevant genes has not been validated and the much-needed metabolic ORFeome is currently unavailable. We describe our efforts on the functional annotation of the ORF models released by the Joint Genome Institute (JGI), prediction of their subcellular localizations, and experimental verification of their structural annotation at the genome scale.ResultsWe assigned enzymatic functions to the translated JGI ORF models of C. reinhardtii by reciprocal BLAST searches of the putative proteome against the UniProt and AraCyc enzyme databases. The best match for each translated ORF was identified and the EC numbers were transferred onto the ORF models. Enzymatic functional assignment was extended to the paralogs of the ORFs by clustering ORFs using BLASTCLUST. In total, we assigned 911 enzymatic functions, including 886 EC numbers, to 1,427 transcripts. We further annotated the enzymatic ORFs by prediction of their subcellular localization. The majority of the ORFs are predicted to be compartmentalized in the cytosol and chloroplast. We verified the structure of the metabolism-related ORF models by reverse transcription-PCR of the functionally annotated ORFs. Following amplification and cloning, we carried out 454FLX and Sanger sequencing of the ORFs. Based on alignment of the 454FLX reads to the ORF predicted sequences, we obtained more than 90% coverage for more than 80% of the ORFs. In total, 1,087 ORF models were verified by 454 and Sanger sequencing methods. We obtained expression evidence for 98% of the metabolic ORFs in the algal cells grown under constant light in the presence of acetate.ConclusionsWe functionally annotated approximately 1,400 JGI predicted metabolic ORFs that can facilitate the reconstruction and refinement of a genome-scale metabolic network. The unveiling of the metabolic potential of this organism, along with structural verification of the relevant ORFs, facilitates the selection of metabolic engineering targets with applications in bioenergy and biopharmaceuticals. The ORF clones are a resource for downstream studies.

Project description:Interest in exploiting algae as a biofuel source and the role of nutrient deficiency in inducing triacylglyceride (TAG) accumulation in cells necessitates a strategy to efficiently formulate species-specific culture media that can be easily manipulated. Using the reference organism Chlamydomonas reinhardtii, we tested the hypothesis that modeling trace element supplements on the ionomes of cells would result in optimized cell growth. We characterized the ionomes of multiple wild-type Chlamydomonas strains in various culture conditions and developed a revised trace element solution to parallel our measurements. Comparison of cells growing in the revised supplement versus a traditional trace element solution revealed faster growth rates and higher maximum cell densities with the revised recipe. RNA-seq analysis of cultures growing in the traditional versus revised medium suggest that the variation in transcriptomes was smaller than that found between laboratories using the same supplement. Visual observation did not reveal defects in cell motility or mating efficiency. Ni2+-inducible expression from the CYC6 promoter remained a useful tool, albeit with an increased amount of Ni2+ supplementation due to the introduction of an EDTA buffer system in the revised medium. Equilibrium modeling of the revised supplement predicts less metal precipitation in the revised medium. Other advantages include more facile preparation of trace element stock solutions that can readily be adapted for deficiency studies, a reduction in total chemical use, a more consistent batch-to-batch formulation, and long-term stability (up to 5 years). Under the new growth regime, we analyzed cells growing under different macro- and micronutrient-deficiencies. In N and S deficiency, cells accumulate TAG as well in the new medium as previously demonstrated. Fe and Zn deficiency also induced TAG accumulation as suggested by Nile Red and Bodipy staining. This ionomic approach can be used to efficiently optimize culturing conditions for other algal species to improve growth and assay cell physiology. Sampling of Chlamydomonas CC-1021 (2137) cultivated in TAP medium supplemented with a revised trace element recipe based on ionomic data.

Dataset Information

Revised annotation and extended characterizations of components of the Chlamydomonas reinhardtii SUMOylation system.

Publications

Revised annotation and extended characterizations of components of the <i>Chlamydomonas reinhardtii</i> SUMOylation system.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets