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The Analysis of the Low Coverage Haematococcus Pluvialis Draft Genome |
Jun CHEN1,2,Hua-jun ZHENG3,**(),Ya-ming LIU1,2,Guo-ping ZHAO3,Song QIN1,**() |
1 Key Laboratory of Coastal Biology and Bioresource Utilization, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai 264003,China 2 University of Chinese Academy of Sciences, Beijing 101418,China |
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Abstract The investigation on the genomic study of Haematococcus pluvialis would be significant to explore the origin and evolution of green algae and the stress responses in Haematococcus pluvialis;and promote the development of Haematococcus pluvialis industry. The low-coverage draft genome of Haematococcus pluvialis was constructed by the Illumina Hiseq 2500 platform. The predicted genome size was approximately 547Mb, with the GC content of 59.2% by calculating k-mer distribution. The draft genome contained 11 059 predicted protein-coding genes and the average gene size and CDS were 1 711bp and 681bp; every gene contained 3.2 exons and the size of exon was 353bp in average. The analysis of metabolic pathway indicated that the low-coverage genome contained whole glycolysis, tricarboxylic acid cycle, phosphopentose, purine and pyrimidine synthesis and other basic metabolism pathway.
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Received: 29 June 2017
Published: 13 August 2018
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Corresponding Authors:
Hua-jun ZHENG,Song QIN
E-mail: zhenghj@chgc.sh.cn;sqin@yic.ac.cn
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[1] |
胡鸿钧, 魏印心 . 中国淡水藻志——系统、分类及生态. 北京: 科学出版社, 2006.
|
|
|
[1] |
Hu H J, Wei Y X. The freshwater algae of China——systematics, taxonomy and ecology. Beijing: Science Press, 2006.
|
|
|
[2] |
刘建国, 殷明焱, 张京浦 , 等. 雨生红球藻的细胞周期初探. 海洋与湖沼, 2000,31(2):145-150.
doi: 10.3321/j.issn:0029-814X.2000.02.006
|
|
|
[2] |
Liu J G, Yin M Y, Zhang J P , et al. Statues of cell cycle in Haematococcus pluvialis. Oceanology et Limnologia Sinica, 2000,31(2):145-150.
doi: 10.3321/j.issn:0029-814X.2000.02.006
|
|
|
[3] |
Kobayashi M, Kurimura Y, Kakizono T , et al. Morphological changes in the life cycle of the green alga Haematococcus pluvialis. Journal of Fermentation and Bioengineering, 1997,84(1):94-97.
doi: 10.1016/S0922-338X(97)82794-8
|
|
|
[4] |
Lorenz R T, Cysewski G R . Commercial potential for Haematococcus microalgae as a natural source of staxanthin. Trends in Biotechnology, 2000,18(4):160-167.
doi: 10.1016/S0167-7799(00)01433-5
pmid: 10740262
|
|
|
[5] |
Borowitzka M A , High-value products from microalgae-their development and commercialisation. Journal of Applied Phycology, 2013,25(3):743-756.
doi: 10.1007/s10811-013-9983-9
|
|
|
[6] |
Chen J, Wang Y, Benemann J R , et al. Microalgal industry in China: challenges and prospects. Journal of Applied Phycology, 2016,28(2):715-725.
doi: 10.1007/s10811-015-0720-4
|
|
|
[7] |
Cui H L, Yu X N, Wang Y , et al. Evolutionary origins, molecular cloning and expression of carotenoid hydroxylases in eukaryotic photosynthetic algae. BMC Genomics, 2013,14:457.
doi: 10.1186/1471-2164-14-457
|
|
|
[8] |
Han D X, Li Y T, Hu Q . Astaxanthin in microalgae: pathways, functions and biotechnological implications. Algae, 2013,28(2):131-147.
doi: 10.4490/algae.2013.28.2.131
|
|
|
[9] |
Lu Y D, Jiang P, Liu S F , et al. Methyl jasmonate- or gibberellins A(3)-induced astaxanthin accumulation is associated with up-regulation of transcription of beta-carotene ketolase genes (bkts) in microalga Haematococcus pluvialis. Bioresource Technology, 2010,101(16):6468-6474.
doi: 10.1016/j.biortech.2010.03.072
|
|
|
[10] |
Gao Z Q, Li Y, Wu G X , et al. Transcriptome analysis in Haematococcus pluvialis: astaxanthin induction by salicylic acid (SA) and jasmonic acid (JA). PLoS One, 2015,10(10):e0140609.
doi: 10.1371/journal.pone.0140609
|
|
|
[11] |
Li K, Cheng J, Lu H X , et al. Transcriptome-based analysis on carbon metabolism of H. mutant under 15% CO2. Bioresource Technology, 2017,233:313-321.
doi: 10.1016/j.biortech.2017.02.121
|
|
|
[12] |
Cheng J, Li K, Zhu Y X , et al. Transcriptome sequencing and metabolic pathways of astaxanthin accumulated in Haematococcus pluvialis mutant under 15% CO2. Bioresource Technology, 2017,228:99-105.
doi: 10.1016/j.biortech.2016.12.084
|
|
|
[13] |
Chen G Q, Wang B B, Han D X , et al. Molecular mechanisms of the coordination between astaxanthin and fatty acid biosynthesis in Haematococcus pluvialis (Chlorophyceae). Plant Journal, 2015,81(1):95-107.
doi: 10.1111/tpj.12713
|
|
|
[14] |
Gwak Y, Hwang Y S, Wang B B , et al. Comparative analyses of lipidomes and transcriptomes reveal a concerted action of multiple defensive systems against photooxidative stress in Haematococcus pluvialis. Journal of Experimental Botany, 2014,65(15):4317-4334.
doi: 10.1093/jxb/eru206
|
|
|
[15] |
Wang S B, Chen F, Sommerfeld M , et al. Proteomic analysis of molecular response to oxidative stress by the green alga Haematococcus pluvialis (Chlorophyceae). Planta, 2004,220(1):17-29.
doi: 10.1007/s00425-004-1323-5
|
|
|
[16] |
Kim J D, Lee W S, Kim B , et al. Proteomic analysis of protein expression patterns associated with astaxanthin accumulation by green alga Haematococcus pluvialis (Chlorophyceae) under high light stress. Journal of Microbiology and Biotechnology, 2006,16(8):1222-1228.
|
|
|
[17] |
Gao Z Q, Miao X X, Zhang X W , et al. Comparative fatty acid transcriptomic test and iTRAQ-based proteomic analysis in Haematococcus pluvialis upon salicylic acid (SA) and jasmonic acid (JA) inductions. Algal Research-Biomass Biofuels and Bioproducts, 2016,17:277-284.
|
|
|
[18] |
Su Y X, Wang J X, Shi M L , et al. Metabolomic and network analysis of astaxanthin-producing Haematococcus pluvialis under various stress conditions. Bioresource Technology, 2014,170:522-529.
doi: 10.1016/j.biortech.2014.08.018
|
|
|
[19] |
Lv H X, Xia F, Liu M , et al. Metabolomic profiling of the astaxanthin accumulation process induced by high light in Haematococcus pluvialis. Algal Research-Biomass Biofuels and Bioproducts, 2016,20:35-43.
|
|
|
[20] |
Boussiba S . Carotenogenesis in the green alga Haematococcus pluvialis: Cellular physiology and stress response. Physiologia Plantarum, 2000,108(2):111-117.
doi: 10.1034/j.1399-3054.2000.108002111.x
|
|
|
[21] |
Zerbino D R, Birney E . Velvet: algorithms for de novo short read assembly using de Bruijn graphs. Genome Research, 2008,8(5):821-829.
doi: 10.1101/gr.074492.107
pmid: 18349386
|
|
|
[22] |
Stanke M, Schoffmann O, Morgenstern B , et al. Gene prediction in eukaryotes with a generalized hidden Markov model that uses hints from external sources. BMC Bioinformatics, 2006,7(1):62.
doi: 10.1186/1471-2105-7-62
|
|
|
[23] |
Marchler-Bauer A, Bo Y, Han L , et al. CDD/SPARCLE: functional classification of proteins via subfamily domain architectures. Nucleic Acids Research, 2017,45(D1):D200-D203.
doi: 10.1093/nar/gkw1129
pmid: 5210587
|
|
|
[24] |
Roth M S, Cokus S J, Gallaher S D , et al. Chromosome-level genome assembly and transcriptome of the green alga Chromochloris zofingiensis illuminates astaxanthin production. Proceedings of the National Academy of Sciences of the United States of America, 2017,114(2):E4296-E4305.
doi: 10.1073/pnas.1619928114
|
|
|
[25] |
郑凌凌, 张琪, 李天丽 , 等. 雨生红球藻无菌化处理及其对生长和生理的影响. 福建师范大学学报(自然科学版), 2017,33(1):44-50.
|
|
|
[25] |
Zheng L L, Zhang Q, Li T L , et al. Axenation of Haematococcus pluvialis and the effects of axenic cultivation on the growth and physiology of the strain. Journal of Fujian Normal University (Natural Science Edition), 2017,33(1):44-50.
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