Literature DB >> 33689052

Integrating Transcriptomics and Metabolomics to Characterize Metabolic Regulation to Elevated CO2 in Chlamydomonas Reinhardtii.

Yufei Zhang1, Zipeng Gu1, Yudong Ren1, Lu Wang1, Jian Zhang1, Chengwei Liang2, Shanying Tong3, Yitao Wang4,5, Dong Xu4,5, Xiaowen Zhang4,5, Naihao Ye6,7.   

Abstract

With atmospheric CO2 increasing, a large amount of CO2 is absorbed by oceans and lakes, which changes the carbonate system and affects the survival of aquatic plants, especially microalgae. The main aim of our study was to explore the responses of Chlamydomonas reinhardtii (Chlorophyceae) to elevated CO2 by combined transcriptome and metabolome analysis under three different scenarios: control (CK, 400 ppm), short-term elevated CO2 (ST, 1000 ppm), and long-term elevated CO2 (LT, 1000 ppm). The transcriptomic data showed moderate changes between ST and CK. However, metabolic analysis indicated that fatty acids (FAs) and partial amino acids (AAs) were increased under ST. There was a global downregulation of genes involved in photosynthesis, glycolysis, lipid metabolism, and nitrogen metabolism but increase in the TCA cycle and β-oxidation under LT. Integrated transcriptome and metabolome analyses demonstrated that the nutritional constituents (FAs, AAs) under LT were poor compared with CK, and most genes and metabolites involved in C and N metabolism were significantly downregulated. However, the growth and photosynthesis of cells under LT increased significantly. Thus, C. reinhardtii could form a specific adaptive evolution to elevated CO2, affecting future biogeochemical cycles.

Entities:  

Keywords:  Chlamydomonas Reinhardtii; Elevated CO2; Long-term Acidification; Metabolomics; Transcriptomics

Year:  2021        PMID: 33689052     DOI: 10.1007/s10126-021-10021-y

Source DB:  PubMed          Journal:  Mar Biotechnol (NY)        ISSN: 1436-2228            Impact factor:   3.619


  37 in total

1.  Phenotypic consequences of 1,000 generations of selection at elevated CO2 in a green alga.

Authors:  Sinéad Collins; Graham Bell
Journal:  Nature       Date:  2004-09-30       Impact factor: 49.962

2.  Metabolic acclimation to excess light intensity in Chlamydomonas reinhardtii.

Authors:  Maria C Davis; Oliver Fiehn; Dion G Durnford
Journal:  Plant Cell Environ       Date:  2013-02-28       Impact factor: 7.228

Review 3.  Engineering fatty acid biosynthesis in microalgae for sustainable biodiesel.

Authors:  Jillian L Blatti; Jennifer Michaud; Michael D Burkart
Journal:  Curr Opin Chem Biol       Date:  2013-05-14       Impact factor: 8.822

4.  Transcriptome sequencing and metabolic pathways of astaxanthin accumulated in Haematococcus pluvialis mutant under 15% CO2.

Authors:  Jun Cheng; Ke Li; Yanxia Zhu; Weijuan Yang; Junhu Zhou; Kefa Cen
Journal:  Bioresour Technol       Date:  2016-12-24       Impact factor: 9.642

5.  Changes in C uptake in populations of Chlamydomonas reinhardtii selected at high CO2.

Authors:  Sinéad Collins; Dieter Sültemeyer; Graham Bell
Journal:  Plant Cell Environ       Date:  2006-09       Impact factor: 7.228

6.  Enzymatic pretreatment of Chlamydomonas reinhardtii biomass for ethanol production.

Authors:  Seung Phill Choi; Minh Thu Nguyen; Sang Jun Sim
Journal:  Bioresour Technol       Date:  2010-03-09       Impact factor: 9.642

7.  Tumor mitochondrial transfer ribonucleic acids: the nucleotide sequence of Morris hepatoma 5123D mitochondrial tRNA GUC Asp.

Authors:  H P Agrawal; K Randerath; E Randerath
Journal:  Nucleic Acids Res       Date:  1981-06-11       Impact factor: 16.971

8.  Effect of CO(2) Concentration on Protein Biosynthesis and Carbonic Anhydrase Expression in Chlamydomonas reinhardtii.

Authors:  J Bailly; J R Coleman
Journal:  Plant Physiol       Date:  1988-08       Impact factor: 8.340

9.  Lipid accumulation and CO2 utilization of Nannochloropsis oculata in response to CO2 aeration.

Authors:  Sheng-Yi Chiu; Chien-Ya Kao; Ming-Ta Tsai; Seow-Chin Ong; Chiun-Hsun Chen; Chih-Sheng Lin
Journal:  Bioresour Technol       Date:  2008-08-22       Impact factor: 9.642

10.  Trimmomatic: a flexible trimmer for Illumina sequence data.

Authors:  Anthony M Bolger; Marc Lohse; Bjoern Usadel
Journal:  Bioinformatics       Date:  2014-04-01       Impact factor: 6.937

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