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中国生物工程杂志

China Biotechnology
China Biotechnology  2017, Vol. 37 Issue (11): 6-11    DOI: 10.13523/j.cb.20171102
    
Optimization of Automatic Flow Chart for Nucleic Acid Extraction from Intestinal Microflora
LI Jin-man1,2, PEI Guang-qian2, FAN Hang2, HUANG Yong2, TONG Yi-gang1,2
1. Anhui Medical University, Hefei 230032, China;
2. Institute of Microbiology and Epidemiology, the Academy of Military Sciences PLA China, Beijing 100071, China
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Abstract  Objective:Optimize the automatic flow of nucleic acid extraction from intestinal flora. Methods:Fecal samples were collected, and nucleic acids were extracted by manual method and nucleic acid extraction workstation. Then PCR reaction liquid was prepared by liquid workstation, and PCR was amplified and sequenced by library workstation. Results:400μl samples using QIAamp® Fast DNA Stool Mini Kit, compared with nucleic acid extraction method with QIAamp® Fast DNA Stool Mini Kit manual with MagMAXTM Express 96 machine nucleic acid extraction method, sequence number sequencing analysis results obtained are basically the same, there were also no significant differences; the single use of MagMAXTMViral RNA Isolation Kit to extract nucleic acid sequencing results due to sample input limited volume (50μl), low concentration of nucleic acid and littlesequence number, can't meet the requirements of the follow-up analysis.Conclusion:By using two different kits, the whole process automation of nucleic acid extraction, PCR reaction preparation and library preparation can be realized, thus greatly improving the efficiency and stability of the results.

Key wordsIntestinal flora      Shotgun sequencing      Automation     
Received: 20 September 2017      Published: 15 November 2017
ZTFLH:  Q-3  
Cite this article:

LI Jin-man, PEI Guang-qian, FAN Hang, HUANG Yong, TONG Yi-gang. Optimization of Automatic Flow Chart for Nucleic Acid Extraction from Intestinal Microflora. China Biotechnology, 2017, 37(11): 6-11.

URL:

https://manu60.magtech.com.cn/biotech/10.13523/j.cb.20171102     OR     https://manu60.magtech.com.cn/biotech/Y2017/V37/I11/6

[1]   Sender R, Fuchs S, Milo R. Are we really vastly outnumbered? revisiting the ratio of bacterial to host cells in humans. Cell, 2016,164(3):337.
[2]   Dorrestein P C, Mazmanian S K, Knight R, et al. Finding the missing links among metabolites, microbes, and the host. Immunity, 2014,40(6):824-832.
[3]   Santisteban M M, Kim S, Pepine C J,et al. Brain-gut-bone marrow axis:implications for hypertension and related therapeutics. Circulation Research, 2016,118(8):1327.
[4]   Wang Z, Elizabeth K, Bennett B J, et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature, 2011,472(7341):57-63.
[5]   Buffington S A, Prisco G V D, Auchtung T A, et al. Microbial reconstitution reverses maternal diet-induced social andsynaptic deficits in offspring. Cell, 2016,165(7):1762.
[6]   Hsiao E Y, Mcbride S W, Hsien S,et al. Microbiota modulate behavioral and physiological abnormalities associated with neurodevelopmental disorders. Cell, 2013,155(7):1451-1463.
[7]   Ma Y. Human papillomavirus community in healthy persons, defined by metagenomics analysis of human microbiome project shotgun sequencing data sets. Journal of Virology, 2014,88(9):4786-4797.
[8]   Schirmer A, Gadkari R, Reeves C D,et al. Metagenomic analysis reveals diverse polyketide synthase gene clusters in microorganisms associated with the marine sponge discodermia dissoluta. Appl Environ Microbiol, 2005,71(8):4840-4849.
[9]   Bobrova O, Kristoffersen J B, Oulas A, et al. Metagenomic 16S rRNA investigation of microbial communities in the Black Sea estuaries in South-West of Ukraine. Acta Biochimica Polonica, 2016,63(2):315.
[10]   Shaw A G, Sim K, Powell E, et al. Latitude in sample handling and storage for infant faecal microbiota studies:the elephant in the room? Microbiome, 2016,4(1):40.
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