收稿日期: 2016-12-06
网络出版日期: 2017-04-20
基金资助
国家重点研发计划课题(2016YFF0203205);国家质量监督检验检疫总局科技计划项目(2015IK067,2015IK069);广东省省级科技计划项目(2015A050502009);中山市科技计划项目(2014A2FC252)
Next Generation Illumina Sequencing of bacteria carried by Chrysomya megacephala
Received date: 2016-12-06
Online published: 2017-04-20
Supported by
Supported by the National Quality Infrastracture Program(No. 2016YFF0203205), Administration of Quality Supervision, Inspection and Quarantine Support Program of China(No. 2015IK067,2015IK069), Science and Technology Project of Guangdong Province(No. 2015A050502009), and Science and Technology Plan Project of Zhongshan City(No. 2014A2FC252)
目的 研究高通量测序技术在医学媒介生物携带细菌检测中的应用,建立一种操作简便、经济高效和鉴定准确的检测方法。方法 优化样本处置和细菌提取等前处理方法、优化PCR反应体系和条件;以大头金蝇为研究材料,利用Illumina高通量测序平台,以二代测序技术(NGS)检测16S rRNA的V3可变区,分别研究其体内外携带细菌的情况。结果 在大头金蝇体表和体内共有95种细菌鉴定到种,235种细菌鉴定到属,体表携带15个门的细菌,而体内仅携带6个门的细菌。但是从能确定细菌种类的序列数来看,体内(376 282条)所携带细菌的数量却是体表(241 375条)的1.56倍。厚壁菌门(Phylum Firmicutes)、变形菌门(Proteobacteria)、拟杆菌门(Bacteroidetes)的细菌总数在体内外被检测到的概率分别为99.83%和97.75%,检测到的细菌种类数远超传统方法。结论 建立的样本收集和前处理方法、PCR扩增体系和条件有效、可行,利用Illumina高通量测序平台进行医学媒介生物携带细菌的NGS检测新方法可行并可推广。
关键词: Illumina测序平台; V3可变区; 细菌; 大头金蝇
陈健, 岳巧云, 邱德义, 刘德星 . 二代测序技术检测大头金蝇携带细菌的研究[J]. 中国媒介生物学及控制杂志, 2017 , 28(2) : 124 -130 . DOI: 10.11853/j.issn.1003.8280.2017.02.007
Objective Establishment of an economic, efficient, accurate and convenient detection method for the bacteria carried by medical vector with the high-throughput sequencing platform(NGS). Methods Optimizing the pretreatment method of the samples, and then sequencing with the NGS techniques through the Illumina high-throughput sequencing platform, detecting the V3 variable regions of 16S rRNA to study bacteria carried by Chrysomya megacephala. Results Ninty-five bacteria carried by C. megacephala were identified to species and 235 species were identified to genus with the improved method, which exceeded the bacteria species identified in the previous studies with the traditional methods. Conclusion The methods of sample collection, pretreatment, and PCR conditions established in this study, sequencing with the Illumina high-throughput sequencing platform were effective and trustworthy, identification of bacteria pathogens carried by medical vector with this method is feasible.
[1] Chaiwong T,Sukontason KL,Chaisri U,et al. Effects of human contraceptive on reproduction and offspring in Chrysomya megacephala[J]. Asian Pac J Trop Med,2011,4(4):259-265.
[2] Sukontason KL,Bunchoo M,Khantawa B,et al. Comparison between Musca domestica and Chrysomya megacephala as carriers of bacteria in northern Thailand[J]. Southeast Asian J Trop Med Public Health,2007,38(1):38-44.
[3] 陈拓,曹晓梅,邓耀华,等. 浦东机场口岸蝇类携带病原菌种类及16S rRNA鉴定[J]. 中国媒介生物学及控制杂志,2012, 23(6):506-511.
[4] 邓梅葵,孙迎,韩雯晴. 细菌鉴定方法[J]. 生物医学工程学进展,2014,35(2):84-88.
[5] Petti CA,Polage CR,Schreckenberger P. The role of 16S rRNA gene sequencing in identification of microorganisms misidentified by conventional methods[J]. J Clin Microbiol, 2005,43(12):6123-6125.
[6] Boutaga K,van Winkelhoff AJ,Vandenbroucke-Grauls CMJE, et al. Periodontal pathogens: a quantitative comparison of anaerobic culture and real-time PCR[J]. FEMS Immunol Med Microbiol,2005,45(2):191-199.
[7] Choi SH,Sung H,Kim SH,et al. Usefulness of a direct 16S rRNA gene PCR assay of percutaneous biopsies or aspirates for etiological diagnosis of vertebral osteomyelitis [J]. Diagn Microbiol Infect Dis,2014,78(1):75-78.
[8] Chakravorty S,Helb D,Burday M,et al. A detailed analysis of 16S ribosomal RNA gene segments for the diagnosis of pathogenic bacteria[J]. J Microbiol Methods,2007,69(2): 330-339.
[9] Moreau MM, Eades SC, Reinemeyer CR, et al. Illumina sequencing of the V4 hypervariable region 16S rRNA gene reveals extensive changes in bacterial communities in the cecum following carbohydrate oral infusion and development of earlystage acute laminitis in the horse[J]. Vet Microbiol,2014,168 (2/4):436-441.
[10] Zhang JX,Zhang YB,Quan X,et al. Enhanced anaerobic digestion of organic contaminants containing diverse microbial population by combined microbial electrolysis cell(MEC)and anaerobic reactor under Fe(Ⅲ)reducing conditions[J]. Bioresour Technol,2013,136:273-280.
[11] Xiao M,Zhang ZZ,Wang JX,et al. Bacterial community diversity in a low-permeability oil reservoir and its potential for enhancing oil recovery[J]. Bioresour Technol,2013,147: 110-116.
[12] Becker K,Harmsen D,Mellmann A,et al. Development and evaluation of a quality-controlled ribosomal sequence database for 16S ribosomal DNA based identification of Staphylococcus species[J]. J Clin Microbiol,2004,42(11):4988-4995.
[13] Bosshard PP, Zbinden R,Abels S, et al. 16S rRNA gene sequencing versus the API 20 NE system and the VITEK 2 IDGNB card for identification of nonfermenting Gram negative bacteria in the clinical laboratory[J]. J Clin Microbiol,2006,44 (4):1359-1366.
[14] Capurro A,Artursson K,Waller KP,et al. Comparison of a commercialized phenotyping system,antimicrobial susceptibility testing,and tuf gene sequence-based genotyping for specieslevel identification of coagulase-negative staphylococci isolated from cases of bovine mastitis[J]. Vet Microbiol,2009,134(3/4): 327-333.
[15] Bartram AK,Lynch MDJ,Stearns JC,et al. Generation of multimillion sequence 16S rRNA gene libraries from complex microbial communities by assembling paired-end illumina reads[J]. Appl Environ Microbiol,2011,77(11):3846-3852.
[16] Degnan PH, Ochman H. Illumina-based analysis of microbial community diversity[J]. ISME J,2012,6(1):183-194.
[17] Gilbert JA,Meyer F,Antonopoulos D,et al. Meeting report: the terabase metagenomics workshop and the vision of an Earth microbiome project[J]. Stand Genomic Sci,2009,3(3): 243-248.
[18] Mann E,Schmitz-Esser S,Zebeli Q,et al. Mucosa-associated bacterial microbiome of the gastrointestinal tract of weaned pigs and dynamics linked to dietary calcium-phosphorus[J]. PLoS One,2014,9(1):e86950.
[19] Caporaso JG,Kuczynski J,Stombaugh J,et al. QIIME allows analysis of high-throughput community sequencing data[J]. Nat Methods,2010,7(5):335-336.
[20] Jurasinski G,Retzer V,Beierkuhnlein C. Inventory,differentiation, and proportional diversity: a consistent terminology for quantifying species diversity[J]. Oecologia,2009,159(1): 15-26.
[21] D'Argenio V,Casaburi G,Precone V,et al. Comparative metagenomic analysis of human gut microbiome composition using two different bioinformatic pipelines[J]. BioMed Res Int, 2014,2014:325340. DOI:10.1155/2014/325340.
[22] Khamis A,Raoult D,La Scola B. rpoB gene sequencing for identification of Corynebacterium species[J]. J Clin Microbiol, 2004,42(9):3925-3931.
[23] Claesson MJ,Wang Q,O'Sullivan O,et al. Comparison of two next generation sequencing technologies for resolving highly complex microbiota composition using tandem variable 16S rRNA gene regions[J]. Nucleic Acids Res,2010,38(22): e200.
/
| 〈 |
|
〉 |