黄腻苔舌面菌群分析
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摘要
目的:利用Illumina Miseq测序平台探究病理黄腻苔、生理黄腻苔及健康薄白苔之间舌苔菌群门与属水平上菌群聚集情况。方法:采集病理黄腻苔、生理黄腻苔和健康薄白苔样本各50例,归为3组。对3组舌苔样本提取总DNA,并筛选出12份病理黄腻苔样本、12份生理黄腻苔样本及11份健康薄白苔样本,共35份,以Illumina Miseq PE300为测序平台进行高通量测序,并对测序数据进行处理和分析。结果:对35份样本测序后与数据库进行比对确定为12门、23纲、39目、66科、133属、246种的细菌。3组样本的群落构成有一定相似性,在门、属水平上都有相同的优势菌种,但3组样本在门、属水平上种群组成存在差异。结论:在门水平上,病理黄腻苔组与生理黄腻苔组在变形菌上存在差异;病理黄腻苔组与健康薄白苔组在变形菌和放线菌上存在差异;在属水平上,病理黄腻苔组与生理黄腻苔组在奈瑟氏菌和韦荣球菌上存在差异;病理黄腻苔组与健康薄白苔组在奈瑟氏菌、韦荣球菌、放线菌和嗜血杆菌上存在差异;生理黄腻苔组与健康薄白苔组在门与属水平上菌群结构无差异。
Objective: To analyze the situation between pathological yellow-greasy coating,physiological yellow-greasy coating and healthy thin-white coating by the level of phylum and genus using Illumina Miseq sequencing platform. Methods:We collected athological yellow-greasy coating,physiological yellow-greasy coating and healthy thin-white coating samples,each 50 cases. Three groups' tongue samples total DNA was extracted, and we screened 12 pathological yellow-greasy coating samples and 12 samples of physiological yellow-greasy coating and 11 samples of healthy thin-white coating, a total of 35 samples, with Illumina Miseq PE300 for high throughput sequencing, data processing and analysis. Results:After sequencing the data from 35 samples,compared with the bacterial database, the bacteria were identified as 12 phylums, 23 classes, 39 orders, 66 families, 133 genera and 246 species. The community composition of the three groups was similar and showed the same dominant species at the phylum and genus level. However, there were differences in the proportion of dominant populations between the 3 groups. Conclusion: At the phylum level, the pathological yellow-greasy coating group and the physiological yellow-greasy coating group were different in the Proteobacteria; the pathological yellow-greasy coating group and the healthy thin-white coating group were different in the Proteobacteria and Actinobacteria. At the genus level, the pathological yellow-greasy coating group and the physiological yellow-greasy coating group were different in the Neisseria and Veillonella; the pathological yellow-greasy coating group and the healthy thin-white coating group were different in the Neisseria、Veillonella、Actinomyces and Haemophilus. There was no difference in the structure of the flora between the physiological yellow-greasy coating group and the healthy thin-white coating group at the phylum and genus levels.
Objective: To analyze the situation between pathological yellow-greasy coating,physiological yellow-greasy coating and healthy thin-white coating by the level of phylum and genus using Illumina Miseq sequencing platform. Methods:We collected athological yellow-greasy coating,physiological yellow-greasy coating and healthy thin-white coating samples,each 50 cases. Three groups' tongue samples total DNA was extracted, and we screened 12 pathological yellow-greasy coating samples and 12 samples of physiological yellow-greasy coating and 11 samples of healthy thin-white coating, a total of 35 samples, with Illumina Miseq PE300 for high throughput sequencing, data processing and analysis. Results:After sequencing the data from 35 samples,compared with the bacterial database, the bacteria were identified as 12 phylums, 23 classes, 39 orders, 66 families, 133 genera and 246 species. The community composition of the three groups was similar and showed the same dominant species at the phylum and genus level. However, there were differences in the proportion of dominant populations between the 3 groups. Conclusion: At the phylum level, the pathological yellow-greasy coating group and the physiological yellow-greasy coating group were different in the Proteobacteria; the pathological yellow-greasy coating group and the healthy thin-white coating group were different in the Proteobacteria and Actinobacteria. At the genus level, the pathological yellow-greasy coating group and the physiological yellow-greasy coating group were different in the Neisseria and Veillonella; the pathological yellow-greasy coating group and the healthy thin-white coating group were different in the Neisseria、Veillonella、Actinomyces and Haemophilus. There was no difference in the structure of the flora between the physiological yellow-greasy coating group and the healthy thin-white coating group at the phylum and genus levels.
引文
[1] 李响,张军峰,杨亚平. 舌苔形成的微生态学机制探讨[J]. 辽宁中医杂志,2014,41(6): 1102-1106.
[2] 欧阳才颜. 第二代高通量测序分析VVC及RVVC患者阴道菌群结构[D].深圳:南方医科大学, 2014.
[3] 陈家旭,邹小娟.中医诊断学[M].北京:人民卫生出版社,2017:39-46.
[4] 丁成华,孙晓刚.中医舌诊图谱(中英文对照)[M].北京:人民卫生出版社,2003:12.
[5] 刘久红.青霉素皮肤试验与过敏病人血清中特异性IgE相关性[D].郑州:郑州大学,2003.
[6] 张红琳,田凯旋,周东蕊,等.PCR-DGGE法在慢性胃炎病人舌苔菌群结构研究中的应用[J].生命科学研究,2011,15(2):125-128.
[7] 李杰.生物合成γ-氨基丁酸酵母菌谷氨酸脱羧酶基因的克隆及表达[D].金华:浙江师范大学,2009.
[8] 杨凡,赵钢涛,丁媛媛,等.基因芯片法检测抗高血压药物相关基因[J].中国临床药理学与治疗学,2010,15(11):1251-1255.
[9] 郝豆豆,雷鸣,武俊喜,等.拉萨蒲公英基因组DNA不同提取方法的比较及PCR检测[J].时珍国医国药,2016,27(8):2034-2037.
[10] 颜慧恒. 益生菌对早产极低出生体重儿系统水平细胞因子的影响及临床意义[D].广州:广州医学院,2012.
[11] Wang Y,Sheng FH.Comparison of the Levels of Bacterial Diversity inFreshwater,Intertidal Wetland and Marine Sediments by Using Millions of IlluminaTags[J].Appl Environ Microbiol,2012, 78(23):8264.
[12] Zhang CH,Li SF,Liu Y.Structural modulation of gut microbiota inlife-long calorie- restricted mice[J].Nature Communications,2013,9(4):2163.
[13] 王振雷,康颖,胡光磊,等.基于Illumina Miseq测序技术的8000份标本HLA分型检测结果分析[J].中国输血杂志,2016,29(9):886-889.
[14] Dominguez-Bello MG,Costello EK,Contreras M,et al.Delivery mode shapes the acquisition and structure of the initial microbiota across multiplebody habitats in newborns[J]. Proc Natl Acad Sci USA,2010,107(26):11971-11975.
[15] 郑国华,黄虹,涂祖新,等.鄱阳湖细菌群落多样性与水环境相关性分析[J].江西农业大学学报,2017,39(3):549-558.
[16] 陈青霞. Illumina高通量测序技术观察剖宫产儿肠道微生物群的演替[D].石家庄:河北医科大学,2015.
[17] 陈瑜. 功能性消化不良患者口腔内唾液菌群变化的意义研究[D].广州:南方医科大学,2017.
[18] 孙育敏,张远,任学军.常见舌苔中的苔面细菌分布情况[J].天津中医,1995,12(3):28-29.
[19] 黄铭涵,林平,兰世迁,等.慢性浅表性胃炎舌象与Hp感染120例的临床观察[J].辽宁中医学院学报,2005,7(2):99-101.
[20] 严惠芳.中医诊法研究[M].北京:人民军医出版社,2005:103-105.
[21] 张莉,张军峰,詹瑧.舌苔形成机理的“组学”研究[J].时珍国医国药,2016,27(6):1464-1466.
[2] 欧阳才颜. 第二代高通量测序分析VVC及RVVC患者阴道菌群结构[D].深圳:南方医科大学, 2014.
[3] 陈家旭,邹小娟.中医诊断学[M].北京:人民卫生出版社,2017:39-46.
[4] 丁成华,孙晓刚.中医舌诊图谱(中英文对照)[M].北京:人民卫生出版社,2003:12.
[5] 刘久红.青霉素皮肤试验与过敏病人血清中特异性IgE相关性[D].郑州:郑州大学,2003.
[6] 张红琳,田凯旋,周东蕊,等.PCR-DGGE法在慢性胃炎病人舌苔菌群结构研究中的应用[J].生命科学研究,2011,15(2):125-128.
[7] 李杰.生物合成γ-氨基丁酸酵母菌谷氨酸脱羧酶基因的克隆及表达[D].金华:浙江师范大学,2009.
[8] 杨凡,赵钢涛,丁媛媛,等.基因芯片法检测抗高血压药物相关基因[J].中国临床药理学与治疗学,2010,15(11):1251-1255.
[9] 郝豆豆,雷鸣,武俊喜,等.拉萨蒲公英基因组DNA不同提取方法的比较及PCR检测[J].时珍国医国药,2016,27(8):2034-2037.
[10] 颜慧恒. 益生菌对早产极低出生体重儿系统水平细胞因子的影响及临床意义[D].广州:广州医学院,2012.
[11] Wang Y,Sheng FH.Comparison of the Levels of Bacterial Diversity inFreshwater,Intertidal Wetland and Marine Sediments by Using Millions of IlluminaTags[J].Appl Environ Microbiol,2012, 78(23):8264.
[12] Zhang CH,Li SF,Liu Y.Structural modulation of gut microbiota inlife-long calorie- restricted mice[J].Nature Communications,2013,9(4):2163.
[13] 王振雷,康颖,胡光磊,等.基于Illumina Miseq测序技术的8000份标本HLA分型检测结果分析[J].中国输血杂志,2016,29(9):886-889.
[14] Dominguez-Bello MG,Costello EK,Contreras M,et al.Delivery mode shapes the acquisition and structure of the initial microbiota across multiplebody habitats in newborns[J]. Proc Natl Acad Sci USA,2010,107(26):11971-11975.
[15] 郑国华,黄虹,涂祖新,等.鄱阳湖细菌群落多样性与水环境相关性分析[J].江西农业大学学报,2017,39(3):549-558.
[16] 陈青霞. Illumina高通量测序技术观察剖宫产儿肠道微生物群的演替[D].石家庄:河北医科大学,2015.
[17] 陈瑜. 功能性消化不良患者口腔内唾液菌群变化的意义研究[D].广州:南方医科大学,2017.
[18] 孙育敏,张远,任学军.常见舌苔中的苔面细菌分布情况[J].天津中医,1995,12(3):28-29.
[19] 黄铭涵,林平,兰世迁,等.慢性浅表性胃炎舌象与Hp感染120例的临床观察[J].辽宁中医学院学报,2005,7(2):99-101.
[20] 严惠芳.中医诊法研究[M].北京:人民军医出版社,2005:103-105.
[21] 张莉,张军峰,詹瑧.舌苔形成机理的“组学”研究[J].时珍国医国药,2016,27(6):1464-1466.