Construction and evaluation of a whole genome microarray of Chlamydomonas 
reinhardtii

Toepel, J.; Albaum, S. P.; Arvidsson, S.; Goesmann, A.; La Russa, M.; Rogge, K.; Kruse, O.

doi:10.1186/1471-2164-12-579

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Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii

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Arvidsson, S.
BioinformaticsCIG, Infrastructure Groups and Service Units, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;
Plant Signalling, Cooperative Research Groups, Max Planck Institute of Molecular Plant Physiology, Max Planck Society;

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Toepel, J., Albaum, S. P., Arvidsson, S., Goesmann, A., La Russa, M., Rogge, K., et al. (2011). Construction and evaluation of a whole genome microarray of Chlamydomonas reinhardtii. BMC Genomics, 12, 579. doi:10.1186/1471-2164-12-579.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0014-20A7-A

Abstract

ABSTRACT: BACKGROUND: Chlamydomonas reinhardtii is widely accepted as a model organism regarding photosynthesis, circadian rhythm, cell mobility, phototaxis, and biotechnology. The complete annotation of the genome allows transcriptomic studies, however a new microarray platform was needed. Based on the completed annotation of Chlamydomonas reinhardtii a new microarray on an Agilent platform was designed using an extended JGI 3.1 genome data set which included 15000 transcript models. RESULTS: In total 44000 probes were determined (3 independent probes per transcript model) covering 93% of the transcriptome. Alignment studies with the recently published AUGUSTUS 10.2 annotation confirmed 11000 transcript models resulting in a very good coverage of 70% of the transcriptome (17000). Following the estimation of 10000 predicted genes in Chlamydomonas reinhardtii our new microarray, nevertheless, covers the expected genome by 90-95%. CONCLUSIONS: To demonstrate the capabilities of the new microarray, we analyzed transcript levels for cultures grown under nitrogen as well as sulfate limitation, and compared the results with recently published microarray and RNA-seq data. We could thereby confirm previous results derived from data on nutrient-starvation induced gene expression of a group of genes related to protein transport and adaptation of the metabolism as well as genes related to efficient light harvesting, light energy distribution and photosynthetic electron transport.