ライフサイエンスコーパス: rRNA gene

1 -7) to 2.72 x 10(-1) copy of ARG/copy of 16S-rRNA gene.

2 icrobiota was assessed by sequencing the 16S rRNA gene.

3 encing targeting the V3-V4 region of the 16S rRNA gene.

4 next generation sequencing (NGS) of the 16S rRNA gene.

5 AGO2 throughout the 45S region of the human rRNA gene.

6 plant roots by 454-pyrosequencing of the 16S rRNA gene.

7 using next-generation sequencing of the 16S rRNA gene.

8 irmicutes metagenomes predicted from the 16S rRNA gene.

9 biome was investigated by sequencing the 16S rRNA gene.

10 Ds and sequencing of the almost complete 16S rRNA gene.

11 es due to the strong conservation of the 16S rRNA gene.

12 ers ribosomes, and promotes transcription of rRNA genes.

13 ce variability occurs among the multiple 16S rRNA genes.

14 ribed guide-RNAs to introduce engineered 16S rRNA genes.

15 nd cloning and sequencing of full-length 18S rRNA genes.

16 and clone library analysis of bacterial 16S rRNA genes.

17 protein genes and in the promoter regions of rRNA genes.

18 d one ocean site using pyrosequencing of 16S rRNA genes.

19 distinguish among otherwise highly conserved rRNA genes.

20 nces from the V1-V3 region of bacterial 16 S rRNA genes.

21 ervariable regions of the 16s ribosomal RNA (rRNA) gene.

22 veys of the small-subunit ribosomal RNA (SSU rRNA) gene.

23 cted, with (1) up to 21-fold decrease in 16S rRNA gene abundance and (2) a shift from balanced commun

24 Results from 16S rRNA gene amplicon analysis and metagenomics suggested t

25 Here, we applied 16S rRNA gene amplicon and whole-genome shotgun sequencing t

26 re microbial community was tracked using 16S rRNA gene amplicon pyrosequencing.

27 and laboratory tsetse populations using 16S rRNA gene amplicon sequencing allowed us to examine whet

28 Through parallel FCM and 16S rRNA gene amplicon sequencing analysis of environments s

29 on microbial community was assessed via 16S rRNA gene amplicon sequencing and ammonia monooxygenase

30 lyphasic approach combined deep coverage SSU rRNA gene amplicon sequencing and bioinformatics with RT

31 autotrophy, based on characterization by 16S rRNA gene amplicon sequencing and respiratory quinone co

32 This study demonstrates the potential of 16S rRNA gene amplicon sequencing as a supporting tool in al

33 A multiplexing 16S rRNA gene amplicon sequencing based on two-step PCR ampl

34 16S rRNA gene amplicon sequencing of pH 7.2 and pH 5.5 ACS e

35 t fermenters, we performed culturing and 16S rRNA gene amplicon sequencing on samples collected from

36 ed in the past decade based primarily on 16S rRNA gene amplicon sequencing regarding the diversity, s

37 Metagenomics and 16S rRNA gene amplicon sequencing revealed the dominant flan

38 16S rRNA gene amplicon sequencing showed that alginate PA ba

39 Microbiome studies commonly use 16S rRNA gene amplicon sequencing to characterize microbial

40 In this case-control study, 16S rRNA gene amplicon sequencing was done on 210 oesophagea

41 g., fluorescence in situ hybridization, 16-S rRNA gene amplicon sequencing), yet high-throughput meth

42 High throughput 16S rRNA gene amplicon sequencing, fluorescence in situ hybr

43 setting, fecal microbiota, evaluated by 16S rRNA gene amplicon sequencing, shifted to a state of red

44 BC) and healthy control women (HC) using 16S rRNA gene amplicon sequencing.

45 re was characterized by high-throughput 16 s rRNA gene amplicon sequencing.

46 subject; in total, n = 1,121 samples) by 16S-rRNA gene amplicon sequencing.

47 s (92.6%) and Proteobacteria (6.9%), via 16S rRNA gene amplicon sequencing.

48 f time-series sampling with shotgun DNA, 16S rRNA gene amplicon, and metatranscriptome high-throughpu

49 ties using high-throughput sequencing of 16S rRNA gene amplicons for aquatic insects (three mayfly sp

50 Pyrosequencing of pig caecal 16S rRNA gene amplicons identified 25 major families encompa

51 Our sequencing results of 16S rRNA gene amplicons of 27 postmortem samples from cadave

52 rization by Illumina HiSeq sequencing of 16S rRNA gene amplicons showed the presence of B. subtilis i

53 Here we utilized MiSeq sequencing of 16S rRNA gene amplicons to identify complex oral microbiota

54 DNA was extracted, and partial 16S rRNA gene amplicons were sequenced using the Illumina pl

55 y by using high-throughput sequencing of 16S rRNA gene amplicons which showed that methanethiol gave

56 Using community profiling of 16S rRNA gene amplicons, we reveal that in Lotus, distinctiv

57 ed via the high-throughput sequencing of 16S rRNA gene amplicons.

58 terized by next-generation sequencing of 16S rRNA gene amplicons.

59 Small-subunit (SSU) rRNA gene analyses indicated that Bathyarchaeota were pr

60 Five years post-eruption, bacterial 16S rRNA gene and fungal internal transcribed spacer (ITS) c

61 ed framework analysis based on bacterial 16S rRNA gene and fungal nuclear rRNA internal transcribed s

62 he V1 to V4 hypervariable regions of the 16S rRNA gene and polymerase chain reaction (PCR)/quantitati

63 using high-throughput sequencing of the 18S rRNA gene and quantified the contributions of environmen

64 atterns as determined by analysis of the 16S rRNA gene and various other genetic elements.

65 biota were analyzed by pyrosequencing of 16S rRNA genes and enumeration of selected bacteria by cultu

66 es matched those obtained by analysis of 16S rRNA genes and ribosomal proteins, and FFP- and core gen

67 16S ribosomal RNA (rRNA) gene and other environmental sequencing techniques

68 vel heteroplasmies are enhanced for tRNA and rRNA genes, and mutations associated with mtDNA diseases

69 e ubiquitin-conjugating enzyme gene, and two rRNA genes, and then we tracked the dynamics of the geno

70 misia puparium, including complete mtCOI and rRNA genes, and various partial mtDNA genes.

71 NORs) are chromosomal loci where hundreds of rRNA genes are clustered.

72 In Arabidopsis thaliana, 45S rRNA genes are found in two large ribosomal DNA (rDNA) c

73 Together, our results indicate that 16S rRNA genes are likely dispersal limited and under enviro

74 at the position on chromosome 4 where active rRNA genes are normally located.

75 within a species, it is unclear how specific rRNA genes are reproducibly chosen for silencing.

76 being nearly identical in sequence, specific rRNA genes are selected for silencing during development

77 Whereas rRNA genes are transcribed at similar rates throughout t

78 eukaryotes, scores of excess ribosomal RNA (rRNA) genes are silenced by repressive chromatin modific

79 hat amplify the hypervariable bacterial 16 S rRNA gene as a model system, we found that long amplicon

80 e, and next-generation sequencing of the 16S rRNA gene as well as quantitative PCR was performed.

81 Phylogeny based on rRNA genes as well as conserved single copy genes deline

82 New primers were designed to target the 16S rRNA gene, as a universal maker for fish detection, with

83 Each sample was sequenced (16S SSU rRNA genes, average 10,000 reads), and biogeochemical pa

84 We show here by 16S rRNA gene-based community analysis that providing amylas

85 able with DNA sequencing techniques (the 16S rRNA gene-based identification), which have revealed a p

86 of time and electrical performance using 16S rRNA gene-based phylogenetic microarrays and flow cytome

87 y in five ice-covered Antarctic lakes by 16S rRNA gene-based pyrosequencing.

88 Our prior work uncovered 16S rRNA genes belonging to a novel, as-yet-uncultivated myc

89 rived fertilizers consistently contained 16S rRNA genes belonging to Tissierella, Erysipelothrix, Ato

90 The abundance of Dhc 16S rRNA genes, CH4, Fe(2+), NO3(-), NO2(-), and SO4(2-) con

91 We show that rRNA gene cluster expression is controlled via complex e

92 plotypes that apparently regulate the entire rRNA gene cluster.

93 In this study, we used 16S rRNA gene community analysis and genome-resolved metagen

94 he closest Bacillus species according to 16S rRNA gene comparison.

95 ssociated Treponema phylogroups based on 16S rRNA gene comparisons.

96 16S rRNA gene compositional analysis reveals that neonatal a

97 yi cell densities were 10(13) and 10(12) 16S rRNA gene copies L(-1) in the bioflocs and planktonic cu

98 The bacterial 16S rRNA gene copies significantly correlated with soil carb

99 d MGII in PRE (up to approximately 10(8) 16S rRNA gene copies/l), which was around 10-fold higher tha

100 ng anaerobes: Porphyromonas (5.2 x 10(7) 16S rRNA gene copies/swab in the PrePex group and 1.1 x 10(6

101 swab in the PrePex group and 1.1 x 10(6) 16S rRNA gene copies/swab in uncircumcised men; P = .002), P

102 naerococcus (1.0 x 10(7) and 1.1 x 10(6) 16S rRNA gene copies/swab, respectively; P < .001), and Camp

103 ureolyticus (1.7 x 10(5) and 1.6 x 10(7)16S rRNA gene copies/swab, respectively; P < .001).

104 ptoniphilus (1.0 x 10(7) and 1.8 x 10(6) 16S rRNA gene copies/swab, respectively; P < .05), Anaerococ

105 mas using predictive metagenomics of the 16S rRNA gene coupled with direct whole shotgun sequencing.

106 deep-branching plastid lineages based on 16S rRNA gene data.

107 th a highly prevalent Zetaproteobacteria 16S rRNA gene density infers that iron-oxidizing bacteria co

108 and D2 and D3 expansion segments of the 28S rRNA gene did not clarify the phylogeny at the genus lev

109 ) and their putative identification from 16S rRNA genes did not reveal significant correlations with

110 at McElmo Dome, Colorado for analysis of 16S rRNA gene diversity and metagenome content.

111 At their new location, NOR2-derived rRNA genes escape silencing, independent of the atxr mut

112 study, we compared 16S rRNA genes (rDNA) and rRNA gene expression of taxa in an activated-sludge-trea

113 rption/ionization-time-of-flight and the 16S rRNA gene for identification, we cultured 329 new bacter

114 as analyzed by 454 pyrosequencing of the 16S rRNA gene fragments.

115 markets and examined by Chlamydia spp. 23 S rRNA gene FRET-PCR followed by high-resolution melting c

116 e effects are illustrated by analysis of 16S rRNA genes from 50 strains of the Bacillus cereus group,

117 Here, we sequenced rRNA genes from European and Japanese fish that are know

118 genes/g) than patients on the sham diet (9.2 rRNA genes/g) (P = .008), but higher in patients given p

119 NA genes/g) than patients given placebo (8.8 rRNA genes/g) (P = .019).

120 but higher in patients given probiotic (9.1 rRNA genes/g) than patients given placebo (8.8 rRNA gene

121 es from patients on the low FODMAP diet (8.8 rRNA genes/g) than patients on the sham diet (9.2 rRNA g

122 In metagenomics, 16S and 18S rRNA gene have been widely used as marker genes to profi

123 s, while diverging by only 1.1% in their 16S rRNA genes, have evolved systematic differences in metab

124 n of the gut microbiota was analyzed by 16 S rRNA gene high-throughput sequencing, and anxiety-like b

125 plicons for multiple markers such as the 16S rRNA gene hypervariable regions are available, MetAmp im

126 o maximize the specific amplification of 18s rRNA gene hypervariable regions from eukaryotic microbes

127 lated to Thermodesulfovibrio sp. (87-89% 16S rRNA gene identity, 52-54% average amino acid identity),

128 In 16S rRNA gene Illumina libraries, four Pseudomonas sp. opera

129 cies based on melt-curve profiles of the 16S rRNA gene in an automated fashion.

130 sequenced the V4 region of the bacterial 16S rRNA gene in stool samples collected before and 12 days

131 ry sulfite reductase gene (dsrA) and the 16S rRNA gene in sulfate-reducing bacterial communities of U

132 scern individual copies of the redundant 23s rRNA gene in the enterococcal genome.

133 nuclear RNase P inhibits transcription of 5S rRNA genes in whole cell extracts, if this precedes the

134 h they possess identical sequence of the 18S rRNA gene including in the V9 region.

135 Analysis of 16S rRNA genes indicated the dominance of Syntrophobacterale

136 e eukaryotic microbiota by targeting the 18s rRNA gene is challenging due to simultaneous amplificati

137 ents show that association of Pol I with the rRNA gene is reduced in RPS19-depleted cells.

138 The 16S rRNA gene is widely used for taxonomic profiling of micr

139 high-throughput sequencing of amplified 16S rRNA genes is an essential microbiology tool.

140 Analysis of 16S rRNA genes is important for phylogenetic classification

141 alyses revealed that the distribution of 16S rRNA genes is strongly influenced by geographic distance

142 he NOR on chromosome 2, NOR2, whereas active rRNA genes map to NOR4, on chromosome 4.

143 its utilization of short reads only from 16S rRNA genes, not from entire genomes.

144 This genomic change places rRNA genes of NOR2, which are normally silenced, at the

145 We sequenced the 18S rRNA genes of the coprophilic, fruiting body-forming amo

146 applicable for different regions of the 16S rRNA gene or other phylogenetic marker genes.

147 quencing of the bacterial 16S ribosomal RNA (rRNA) gene or whole metagenome shotgun (WMS) sequencing

148 Specimens identified by Universal 16S rRNA gene PCR/pyrosequencing as containing staphylococci

149 confidence interval [CI]) for Universal 16S rRNA gene PCR/pyrosequencing included sensitivity of 77.

150 thology and molecular diagnostics (e.g., 16S rRNA gene PCR/sequencing, Tropheryma whipplei PCR) may b

151 diversity and absolute abundance of the 16S rRNA gene per location.

152 amples were determined using broad-range 16S rRNA gene polymerase chain reaction and pyrosequencing.

153 Evaluation of hip tissue by 16S rRNA gene polymerase chain reaction and sequencing revea

154 We used 16S rRNA gene polymerase chain reaction with degenerate prim

155 First, 16S rRNA gene prediction and the inclusion of ultrafast exac

156 ommunities, we employed a combination of 16S rRNA gene profiling and shotgun metagenome analysis of t

157 cing of hypervariable regions 1-3 of the 16S rRNA gene provides highly similar results.

158 Our 16S rRNA gene pyrosequencing analyses revealed that the soil

159 Here, we used 16S rRNA gene pyrosequencing and metagenomic sequencing to e

160 16S rRNA gene quantification and sequencing revealed that gr

161 Next-generation sequencing, 16 S rRNA gene quantitative real-time PCR, and aerobic cultur

162 uencing technology based on 16S rRNA and 16S rRNA gene (rDNA).

163 In this study, we compared 16S rRNA genes (rDNA) and rRNA gene expression of taxa in an

164 Approximately seven hundred 45S rRNA genes (rDNA) in the Arabidopsis thaliana genome are

165 Uniparental silencing of 35S rRNA genes (rDNA), known as nucleolar dominance (ND), is

166 rmal assay targets the same Enterococcus 23S rRNA gene region as the existing quantitative polymerase

167 Pyrosequencing of 16S rRNA genes results revealed an age- and diet-dependent b

168 We show that short reads from 16S rRNA genes retain sufficient information for detecting u

169 Here, nonnative rRNA gene [ribosomal DNA (rDNA)] copies were identified

170 d primer set HLBas/HLBr derived from the 16S rRNA gene, RNRf/RNRr had Ct value reductions of 1.68 (SY

171 sed on high-throughput sequencing of the 16S rRNA gene's V1-V2 region.

172 ding DNA-DNA hybridization, variation in 16S rRNA gene sequence and phenotypic characteristics.

173 d streams, we predicted metagenomes from 16s rRNA gene sequence data using PICRUSt and identified fun

174 legume housed Micromonospora, and using 16S rRNA gene sequence identification, we verified that the

175 ed of three named species that share 99% 16S rRNA gene sequence identity.

176 multilocus sequence analysis (MLSA) and 16S rRNA gene sequence showed that most equine isolates coul

177 H 5.5 enrichment shared 98.6%, and 98.5% 16S rRNA gene sequence similarities to Sulfurospirillum mult

178 ugh B. azotoformans NBRC 15712(T) (96.3% 16S rRNA gene sequence similarity) is the closest Bacillus s

179 the 1001 Genomes Consortium, we characterize rRNA gene sequence variation within and among accessions

180 pH 1-1.5) sites in Spain and UK that are 16S rRNA gene sequence-identical with 'G-plasma'.

181 latform led to recovery near-full-length 16S rRNA gene sequences allowing accurate identification of

182 lines Initiative (6,177 near full-length 16S rRNA gene sequences and 9.4 million high-quality 16S V1-

183 rategy, allowing a reduction of mosquito 18s rRNA gene sequences by more than 80% for the V4 hypervar

184 diversity studies using small subunit (SSU) rRNA gene sequences continue to advance our understandin

185 transfers on CM and H2 , Acetobacterium 16S rRNA gene sequences dominated the culture and the DCM-de

186 sting taxonomic classification tools for 16S rRNA gene sequences either do not provide species-level

187 The retrieved 16S rRNA gene sequences from magnetically-enriched magnetota

188 ina pygmaea and Roccella fuciformis with SSU rRNA gene sequences identical to the type strain of Stre

189 t aggressive in MPn metabolism and their 16S rRNA gene sequences matched 35% of the Illumina PMEZ Pse

190 systematically survey primer fidelity in SSU rRNA gene sequences recovered from over 6,000 assembled

191 Species-level classification for 16S rRNA gene sequences remains a serious challenge for micr

192 uring sedimentation, as many prokaryotic 16S rRNA gene sequences retrieved from the extracted DNA are

193 Unsupervised clustering of 16S rRNA gene sequences revealed three clusters (subtypes),

194 Accurate detection of 16S rRNA gene sequences that include intragenomic variations

195 g next-generation Illumina sequencing of 16S rRNA gene sequences to characterize symbiont communities

196 the V3-V4 and V4 regions of the 16S and 18S rRNA gene sequences, respectively.

197 on (Illumina) sequencing of partial (V4) 16S rRNA gene sequences.

198 iversity (small subunit (SSU) ribosomal RNA (rRNA) gene sequences) in field samples.

199 Owing to divergent 16S ribosomal RNA (rRNA) gene sequences, 50-100% of organisms sampled from

200 relative abundance of C. difficile from 16S rRNA gene sequencing (r(2) = -0.60) and MSS (r(2) = -0.5

201 Comparative 16S rRNA gene sequencing analysis revealed 98.6% similarity

202 subgingival microbiome was evaluated via 16S rRNA gene sequencing and 8 selected inflammatory markers

203 osition was analysed by a combination of 16S rRNA gene sequencing and quantitative PCR (qPCR).

204 Using 16S rRNA gene sequencing and quantitative PCR, we characteri

205 microbial composition was assessed using 16S rRNA gene sequencing at three specific time periods (bas

206 80 cores, DACE clustered the Lake Taihu 16S rRNA gene sequencing data ( approximately 316M reads, 30

207 in 25 min, and the Ocean TARA Eukaryotic 18S rRNA gene sequencing data ( approximately 500M reads, 88

208 analyses of urine metabonomics data and 16S rRNA gene sequencing data to investigate the functional

209 l taxonomic unit [OTU] abundances) using 16S rRNA gene sequencing for co-occurring Plethodon salamand

210 OF MS was directly compared with that of 16S rRNA gene sequencing for the evaluation of 297 mycobacte

211 23S rRNA gene sequencing identified mutations previously ass

212 s study, we profile gut microbiota using 16S rRNA gene sequencing in 531 well-phenotyped Finnish men

213 Oral bacteria were assessed using 16S rRNA gene sequencing in prediagnostic mouthwash samples

214 Using 16S rRNA gene sequencing in two model NHP species, we show t

215 V4 16S rRNA gene sequencing of fecal DNA demonstrated minimal s

216 Full-length 16S rRNA gene sequencing of these isolates identified nine d

217 We performed 16S rRNA gene sequencing on 333 infants' stool samples.

218 Illumina 16S rRNA gene sequencing revealed a complex community of bac

219 16S-rRNA gene sequencing revealed a differential abundance o

220 16S rRNA gene sequencing revealed diverse microbial communit

221 llowed by whole-genome amplification and 16S rRNA gene sequencing revealed previously unrecognized in

222 16S rRNA gene sequencing revealed that diazinon exposure sig

223 etatranscriptomics, quantitative PCR and 16S rRNA gene sequencing to study the changes in community c

224 Using 16 S rRNA gene sequencing we demonstrated that microbiota eco

225 on the anode of all three SAPs based on 16S rRNA gene sequencing were Geobacter, Smithella and Syntr

226 Culture and 16 S rRNA gene sequencing were performed on nasopharyngeal sp

227 We used 16S rRNA gene sequencing, 1H nuclear magnetic resonance (NMR

228 % of C. difficile-positive samples using 16S rRNA gene sequencing, and C. difficile was detected in 8

229 crodilution, gradient diffusion (Etest), 23S rRNA gene sequencing, and cfr PCR.

230 cular taxonomic level by secA1 analysis, 16S rRNA gene sequencing, and matrix-assisted laser desorpti

231 e PCR (qPCR) from a research laboratory, 16S rRNA gene sequencing, and metagenomic shotgun sequencing

232 Subcultured colonies were identified by 16S rRNA gene sequencing, and purity was confirmed by sequen

233 ngside the bacteria with high-resolution 16S rRNA gene sequencing, linking these community data to ge

234 We used a combination of 16S rRNA gene sequencing, metagenomics sequencing, and mass

235 ce method comprised of urine culture and 16S rRNA gene sequencing, the sensitivity, specificity, posi

236 ignificant isolates from the VGS group by16S rRNA gene sequencing, we identified 14 S. tigurinus isol

237 he rat digestive tract were subjected to 16S rRNA gene sequencing-based analysis to determine the bas

238 26 weeks of life were analyzed by using 16S rRNA gene sequencing.

239 All protozoa were identified by 18S rRNA gene sequencing.

240 and 300 d using qPCR and high-throughput 16S rRNA gene sequencing.

241 controlled trial was determined by using 16S rRNA gene sequencing.

242 treatment and 5 days after treatment for 16S rRNA gene sequencing.

243 ial communities were characterized using 16S rRNA gene sequencing.

244 control subjects were profiled by using 16S rRNA gene sequencing.

245 tively and weekly during gestation using 16S rRNA gene sequencing.

246 olates were identified by 16S ribosomal RNA (rRNA) gene sequencing and compared with validly describe

247 icoverpa zea larvae using 16S ribosomal RNA (rRNA) gene sequencing and matrix-assisted laser desorpti

248 Cloning and sequencing of the 16S rRNA gene showed dominance of the deltaproteobacterial s

249 MiSeq high throughput sequencing of the 16 S rRNA gene showed that 108 genera were observed during th

250 In both cases, pyrotag sequencing of 16S rRNA genes showed codominance of Peptococcaceae with ace

251 omoters of reactivated T. porrifolius-origin rRNA genes showed reduced DNA methylation, mainly at sym

252 he atxr mutations, indicating that selective rRNA gene silencing is chromosome 2-specific.

253 ctively, these results reveal that selective rRNA gene silencing is not regulated gene by gene based

254 ined from deep-sea environments based on 16S rRNA gene similarity and BLAST matches to predicted prot

255 related to Paracoccus niistensis with a 16S rRNA gene similarity of 96.79%.

256 ne amplified from environmental DNA, the 18S rRNA gene (small subunit [SSU]).

257 ces of another ecotype, we show that a major rRNA gene subtype silenced at NOR2 is active when introg

258 Importantly, silenced and active rRNA gene subtypes are not intermingled.

259 All active rRNA gene subtypes mapped to NOR4.

260 All silenced rRNA gene subtypes mapped to the nucleolus organizer reg

261 In Arabidopsis thaliana, rRNA gene subtypes that are silenced during development

262 between active and developmentally silenced rRNA gene subtypes.

263 ate microbe-host interactions, including 16S rRNA gene surveys, metagenome experiments, and metatrans

264 might be missed from classical PCR-based SSU rRNA gene surveys, mostly members of the Candidate Phyla

265 0 m) were investigated in parallel using 16S rRNA gene T-RFLP and amplicon sequencing.

266 multaneous amplification of the abundant 18s rRNA gene target in the mosquito host.

267 PCR assays for beta-globin and Universal 16S rRNA gene targets were performed on all 1,232 extracts.

268 re was 96.9% (1,085/1,120) for Universal 16S rRNA gene targets, with positivity rates of 9.4% (105/1,

269 y testing the function of the engineered 16S rRNA genes through genome transplantation, we observed s

270 pare two widely sequenced regions of the 16S rRNA gene to WMS sequencing for recapitulating skin micr

271 ys for polyphosphate kinase 1 (ppk1) and 16S rRNA genes to assess relative abundances of dominant cla

272 e used Illumina sequencing of >2 million 16S rRNA genes to examine microbial community structure and

273 cytochrome b, cytochrome oxidase I, and 16S rRNA genes to generate PCR products with specific meltin

274 matrix theory-based network analysis of 16S rRNA genes to identify bacterial networks associated wit

275 Whereas oncogenic agents stimulate rRNA gene transcription, tumor suppressors decrease rRNA

276 ne transcription, tumor suppressors decrease rRNA gene transcription.

277 q sequencing of the V1-V3 regions of the 16S rRNA gene used to compare VM composition.

278 lated DNA was assessed by amplifying the 16S rRNA gene using Com1 and Com2 universal primers.

279 ice was tested for identification of the 16S rRNA gene V3 hypervariable region from Escherichia coli

280 flooded), and we sequenced the bacterial 16S rRNA gene (V4-V5 region) and the fungal ITS1 region from

281 ts were isolated, and PCR amplicons from 16S rRNA gene variable regions V1-V3 and V3-V5 from these fr

282 Prokaryotic 16 S rRNA gene was amplified and DGGE was performed.

283 from 93 CF adults; pyrosequencing of the 16S rRNA gene was applied to 59 patients to systematically d

284 The P. acnes 16S rRNA gene was detectable in 4 of 15 carotid artery sampl

285 is work, pyrosequencing of the bacterial 16S rRNA gene was firstly applied to investigate the rhizosp

286 V4 region of both bacterial and archaeal 16S rRNA gene was used to characterize the microbial communi

287 The relative abundance of 16S rRNA genes was measured by Quantitative Polymerase Chain

288 ng next-generation DNA sequencing of the 16S rRNA gene, we analyzed the composition and diversity of

289 Using 454 pyrosequencing of the 16S rRNA gene, we compared bacterial communities of laryngea

290 llumina-based amplicon sequencing of the 16S rRNA gene, we found that alpha-diversity (richness) was

291 Using high-throughput sequencing of the 16S rRNA gene, we found that each mouse group had a specific

292 Using primers specific for bacterial 16S rRNA genes, we amplified and then pyrosequenced faecal D

293 ocated at positions 2576 and 2534 of the 23S rRNA gene were most common.

294 DNA was extracted, and the bacterial 16S rRNA genes were analyzed on a MiSeq sequencer.

295 e gene of class 1 integrons (intI1), and 16S rRNA genes were quantified using quantitative polymerase

296 and 454-pyrosequencing of PCR-amplified 16S rRNA genes were used to characterize bacterial community

297 iants (at positions 2083 and 2345 of the 23S rRNA gene) were also identified and may contribute to li

298 mal internal transcribed spacer (ITS) of the rRNA gene with fungal specific ITS primers, ITS barcodes

299 PCR amplification of 16S rRNA genes with universal primers produces a mixture of

300 Given the near sequence identity of rRNA genes within a species, it is unclear how specific