Research article - Peer-reviewed, 2020
Nuclear proteome analysis of Chlamydomonas with response to CO2 limitation
Arias, Carolina; Obudulu, Ogonna; Zhao, Xiaoling; Ansolia, Preeti; Zhang, Xueyang; Paul, Suman; Bygdell, Joakim; Pirmoradian, Mohammad; Zubarev, Roman A.; Samuelsson, Goran; Wingsle, Gunnar; Bajhaiya, Amit K.Abstract
Chlamydomonas reirthardtii is a unicellular green alga that can survive at a wide range of inorganic carbon (Ci) concentrations by regulating the activity of a CO2-concentrating mechanism (CCM) as well as other cellular functions. Under CO2 limited conditions, C. reirthardtii cells display a wide range of adaptive responses including changes in photosynthetic electron transport, mitochondria localization in the cells, the structure of the pyrenoid starch sheath, and primary metabolism. In addition to these functional and structural changes, gene and protein expression are also affected. Several physiological aspects of the CO2 response mechanism have been studied in detail. However, the regulatory components (transcription factors and transcriptional regulators) involved in this process are not fully characterized. Here we report a comprehensive analysis of the C. reirthardtii nuclear proteome using liquid chromatography electrospray ionization spectrometry (LC-ESI-MS). The study aims to identify the proteins that govern adaptation to varying CO2 concentrations in Chlamydomonas. The nuclear proteome of C. reinhardtii cells grown in the air at high (5%) and low (0.04%) CO2 concentrations were analyzed. Using this approach, we identified 1378 proteins in total, including 90 putative transcription factors and 27 transcriptional regulators. Characterization of these new regulatory components could shed light on the molecular mechanisms underlying acclimation to CO2 stress.Keywords
Chlamydomonas; CO2-concentrating mechanism; Nucleus proteome; Ribosomes; Spliceosome; Transcription factors and regulatorsPublished in
Algal Research2020, volume: 46, article number: 101765
Publisher: ELSEVIER
Authors' information
Arias, Carolina
Umea Univ
Obudulu, Ogonna
Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology
Obudulu, Ogonna
Umeå University
Zhao, Xiaoling
Umea Univ
Ansolia, Preeti
Umea Univ
Zhang, Xueyang
Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology
Paul, Suman
Umea Univ
Bygdell, Joakim
Umea Univ
Pirmoradian, Mohammad
Karolinska Inst
Zubarev, Roman A.
Karolinska Inst
Samuelsson, Goran
Umea Univ
Swedish University of Agricultural Sciences, Department of Forest Genetics and Plant Physiology
Bajhaiya, Amit K.
Umea Univ
UKÄ Subject classification
Bioinformatics and Systems Biology
Cell Biology
Publication Identifiers
DOI: https://doi.org/10.1016/j.algal.2019.101765
URI (permanent link to this page)
https://res.slu.se/id/publ/104660