{"title":"建立一种实时荧光定量PCR方法测定微生物群落中脱盐杆菌属、脱盐球菌属和脱硫杆菌属的数量","authors":"Theo H.M Smits, Christiane Devenoges, Katia Szynalski, Julien Maillard, Christof Holliger","doi":"10.1016/j.mimet.2004.02.003","DOIUrl":null,"url":null,"abstract":"<div><p><span>We developed standard curves based on plasmids containing a 16S rRNA gene of a member of one of the three genera </span><em>Dehalobacter</em>, <span><em>Desulfitobacterium</em></span>, and <span><em>Dehalococcoides</em></span><span>. A large difference in amplification efficiency between the standard curves was observed ranging from 1.5 to 2.0. The total eubacterial 16S rRNA gene copy number determined in a sample DNA by using eubacterial primers and the three standard curves led to differences in the estimated copy numbers of a factor up to 73. However, the amplification efficiencies for one specific standard curve were the same independent of the PCR primer pair used. This allowed the determination of the abundance of a population expressed as fractional number, hence, the percentage of genus-specific copy numbers within the total eubacterial 16S rRNA gene copy numbers. Determination of the fractional numbers in DNA mixtures of known composition showed the accuracy of this approach. The average difference in threshold value between two 10-fold dilutions of DNA of pure cultures, mixtures thereof and of environmental samples was −3.45±0.34, corresponding to an average almost optimal amplification efficiency of 1.95. This indicated that the low amplification efficiency of certain standard curves seemed to be mainly a problem of the plasmid DNA used and not of the 16S rRNA gene of the target genera.</span></p></div>","PeriodicalId":16409,"journal":{"name":"Journal of microbiological methods","volume":"57 3","pages":"Pages 369-378"},"PeriodicalIF":1.9000,"publicationDate":"2004-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.mimet.2004.02.003","citationCount":"201","resultStr":"{\"title\":\"Development of a real-time PCR method for quantification of the three genera Dehalobacter, Dehalococcoides, and Desulfitobacterium in microbial communities\",\"authors\":\"Theo H.M Smits, Christiane Devenoges, Katia Szynalski, Julien Maillard, Christof Holliger\",\"doi\":\"10.1016/j.mimet.2004.02.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>We developed standard curves based on plasmids containing a 16S rRNA gene of a member of one of the three genera </span><em>Dehalobacter</em>, <span><em>Desulfitobacterium</em></span>, and <span><em>Dehalococcoides</em></span><span>. A large difference in amplification efficiency between the standard curves was observed ranging from 1.5 to 2.0. The total eubacterial 16S rRNA gene copy number determined in a sample DNA by using eubacterial primers and the three standard curves led to differences in the estimated copy numbers of a factor up to 73. However, the amplification efficiencies for one specific standard curve were the same independent of the PCR primer pair used. This allowed the determination of the abundance of a population expressed as fractional number, hence, the percentage of genus-specific copy numbers within the total eubacterial 16S rRNA gene copy numbers. Determination of the fractional numbers in DNA mixtures of known composition showed the accuracy of this approach. The average difference in threshold value between two 10-fold dilutions of DNA of pure cultures, mixtures thereof and of environmental samples was −3.45±0.34, corresponding to an average almost optimal amplification efficiency of 1.95. This indicated that the low amplification efficiency of certain standard curves seemed to be mainly a problem of the plasmid DNA used and not of the 16S rRNA gene of the target genera.</span></p></div>\",\"PeriodicalId\":16409,\"journal\":{\"name\":\"Journal of microbiological methods\",\"volume\":\"57 3\",\"pages\":\"Pages 369-378\"},\"PeriodicalIF\":1.9000,\"publicationDate\":\"2004-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.mimet.2004.02.003\",\"citationCount\":\"201\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of microbiological methods\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S016770120400048X\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of microbiological methods","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016770120400048X","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Development of a real-time PCR method for quantification of the three genera Dehalobacter, Dehalococcoides, and Desulfitobacterium in microbial communities
We developed standard curves based on plasmids containing a 16S rRNA gene of a member of one of the three genera Dehalobacter, Desulfitobacterium, and Dehalococcoides. A large difference in amplification efficiency between the standard curves was observed ranging from 1.5 to 2.0. The total eubacterial 16S rRNA gene copy number determined in a sample DNA by using eubacterial primers and the three standard curves led to differences in the estimated copy numbers of a factor up to 73. However, the amplification efficiencies for one specific standard curve were the same independent of the PCR primer pair used. This allowed the determination of the abundance of a population expressed as fractional number, hence, the percentage of genus-specific copy numbers within the total eubacterial 16S rRNA gene copy numbers. Determination of the fractional numbers in DNA mixtures of known composition showed the accuracy of this approach. The average difference in threshold value between two 10-fold dilutions of DNA of pure cultures, mixtures thereof and of environmental samples was −3.45±0.34, corresponding to an average almost optimal amplification efficiency of 1.95. This indicated that the low amplification efficiency of certain standard curves seemed to be mainly a problem of the plasmid DNA used and not of the 16S rRNA gene of the target genera.
期刊介绍:
The Journal of Microbiological Methods publishes scholarly and original articles, notes and review articles. These articles must include novel and/or state-of-the-art methods, or significant improvements to existing methods. Novel and innovative applications of current methods that are validated and useful will also be published. JMM strives for scholarship, innovation and excellence. This demands scientific rigour, the best available methods and technologies, correctly replicated experiments/tests, the inclusion of proper controls, calibrations, and the correct statistical analysis. The presentation of the data must support the interpretation of the method/approach.
All aspects of microbiology are covered, except virology. These include agricultural microbiology, applied and environmental microbiology, bioassays, bioinformatics, biotechnology, biochemical microbiology, clinical microbiology, diagnostics, food monitoring and quality control microbiology, microbial genetics and genomics, geomicrobiology, microbiome methods regardless of habitat, high through-put sequencing methods and analysis, microbial pathogenesis and host responses, metabolomics, metagenomics, metaproteomics, microbial ecology and diversity, microbial physiology, microbial ultra-structure, microscopic and imaging methods, molecular microbiology, mycology, novel mathematical microbiology and modelling, parasitology, plant-microbe interactions, protein markers/profiles, proteomics, pyrosequencing, public health microbiology, radioisotopes applied to microbiology, robotics applied to microbiological methods,rumen microbiology, microbiological methods for space missions and extreme environments, sampling methods and samplers, soil and sediment microbiology, transcriptomics, veterinary microbiology, sero-diagnostics and typing/identification.