There is no conflict of interest among the authors.
Quantitative proteomic profiling reveals photosynthesis responsible for inoculum size dependent variation in Chlorella sorokiniana†
Article first published online: 1 NOV 2012
Copyright © 2012 Wiley Periodicals, Inc.
Biotechnology and Bioengineering
Volume 110, Issue 3, pages 773–784, March 2013
How to Cite
Ma, Q., Wang, J., Lu, S., Lv, Y. and Yuan, Y. (2013), Quantitative proteomic profiling reveals photosynthesis responsible for inoculum size dependent variation in Chlorella sorokiniana. Biotechnol. Bioeng., 110: 773–784. doi: 10.1002/bit.24762
- Issue published online: 18 JAN 2013
- Article first published online: 1 NOV 2012
- Accepted manuscript online: 23 OCT 2012 01:25PM EST
- Manuscript Accepted: 10 OCT 2012
- Manuscript Revised: 6 SEP 2012
- Manuscript Received: 9 JUL 2012
- National High Technology Research and Development Program of China (“863” Program). Grant Number: 2012AA02A701
- National Basic Research Program of China (“973” Program). Grant Number: 2013CB733601
- Major International Joint Research Project. Grant Number: 21020102040
- inoculum size;
High density cultivation is essential to industrial production of biodiesel from microalgae, which involves in variations of micro-environment around individual cells, including light intensity, nutrition distribution, other abiotic stress and so on. To figure out the main limit factor in high inoculum cultivation, a quantitative proteomic analysis (iTRAQ-on-line 2-D nano-LC/MS) in a non-model green microalga, Chlorella sorokiniana, under different inoculum sizes was conducted. The resulting high-quality proteomic dataset consisted of 695 proteins. Using a cutoff of P < 0.05, 241 unique proteins with differential expression levels were identified between control and different inoculum sizes. Functional analysis showed that proteins participating in photosynthesis (light reaction) and Calvin cycle (carbon reaction pathway) had highest expression levels under inoculum size of 1 × 106 cells mL−1, and lowest levels under 1 × 107 cells mL−1. Canonical correlation analysis of the photosynthesis related proteins and metabolites biomarkers showed that a good correlation existed between them (canonical coefficient was 0.987), suggesting photosynthesis process greatly affected microalgae biodiesel productivity and quality. Proteomic study of C. sorokiniana under different illuminations was also conducted to confirm light intensity as a potential limit factor of high inoculum size. Nearly two thirds of proteins showed up-regulation under the illumination of 70–110 µmol m−2 s−1, compared to those of 40 µmol m−2 s−1. This result suggested that by elegantly adjusting light conditions, high cell density cultivation and high biodiesel production might be achieved. Biotechnol. Bioeng. 2013; 110: 773–784. © 2012 Wiley Periodicals, Inc.