title: Multiplex quantification of 16S rDNA of predominant bacteria group within human fecal samples by polymerase chain reaction--ligase detection reaction (PCR-LDR).
abstract: A new method, based on ligase detection reaction (LDR), was developed for quantitative detection of multiplex PCR amplicons of 16S rRNA genes present in complex mixtures (specifically feces). LDR has been widely used in single nucleotide polymorphism (SNP) assay but never applied for quantification of multiplex PCR products. This method employs one pair of DNA probes, one of which is labeled with fluorescence for signal capture, complementary to the target sequence. For multiple target sequence analysis, probes were modified with different lengths of polyT at the 5' end and 3' end. Using a DNA sequencer, these ligated probes were separated and identified by size and dye color. Then, relative abundance of target DNA were normalized and quantified based on the fluorescence intensities and exterior size standards. 16S rRNA gene of three preponderant bacteria groups in human feces: Clostridium coccoides, Bacteroides and related genera, and Clostridium leptum group, were amplified and cloned into plasmid DNA so as to make standard curves. After PCR-LDR analysis, a strong linear relationship was found between the florescence intensity and the diluted plasmid DNA concentrations. Furthermore, based on this method, 100 human fecal samples were quantified for the relative abundance of the three bacterial groups. Relative abundance of C. coccoides was significantly higher in elderly people in comparison with young adults, without gender differences. Relative abundance of Bacteroides and related genera and C. leptum group were significantly higher in young and middle aged than in the elderly. Regarding the whole set of sample, C. coccoides showed the highest relative abundance, followed by decreasing groups Bacteroides and related genera, and C. leptum. These results imply that PCR-LDR can be feasible and flexible applied to large scale epidemiological studies.
authors.affiliation: Institute of Biological Sciences and Biotechnology, Donghua University, Shanghai, 201620, China.
authors.forename: Kai
authors.initials: K
authors.lastname: Li
authors.forename: Bei
authors.initials: B
authors.lastname: Chen
authors.forename: Yuxun
authors.initials: Y
authors.lastname: Zhou
authors.forename: Rui
authors.initials: R
authors.lastname: Huang
authors.forename: Yinming
authors.initials: Y
authors.lastname: Liang
authors.forename: Qinxi
authors.initials: Q
authors.lastname: Wang
authors.forename: Zhenxian
authors.initials: Z
authors.lastname: Xiao
authors.forename: Junhua
authors.initials: J
authors.lastname: Xiao
mesh_terms: D000328:Adult; D000368:Aged; D001439:Bacteroides / Q000235:genetics / Q000302:isolation & purification*; D003013:Clostridium / Q000235:genetics / Q000302:isolation & purification*; D004275:DNA, Ribosomal / Q000032:analysis; D005243:Feces / Q000382:microbiology*; D005260:Female; D020459:Genes, rRNA; D006801:Humans; D008297:Male; D008875:Middle Aged; D016133:Polymerase Chain Reaction / Q000379:methods*; D012329:RNA, Bacterial / Q000032:analysis*; D012336:RNA, Ribosomal, 16S / Q000032:analysis; D012680:Sensitivity and Specificity; D055815:Young Adult
chemical_list: D004275:DNA, Ribosomal; D012329:RNA, Bacterial; D012336:RNA, Ribosomal, 16S