ライフサイエンスコーパス: rRNA gene

1 s using amplicon-based sequencing of the 16S rRNA gene.

2 A was amplified for the V4 region of the 16S rRNA gene.

3 ofile was assessed through sequencing of 16S rRNA gene.

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

5 irmicutes metagenomes predicted from the 16S rRNA gene.

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

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

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

9 ing the PacBio sequencing of full-length 16S rRNA gene.

10 copy numbers comparable to the bacterial 16S rRNA gene.

11 llumina and Sanger sequencing of 16S and 18S rRNA genes.

12 detect mutations in gyrA, 23S rRNA, and 16S rRNA genes.

13 entify biological nitrogen fixation) and 16S rRNA genes.

14 ops at intergenic spacers flanking nucleolar rRNA genes.

15 The transcription of 18S, 5.8S, and 18S rRNA genes (45S rDNA), cotranscriptional processing of p

16 erbeds, coincident with a peak in n-damo 16S rRNA gene abundance and higher methane concentration.

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

18 taxonomic and functional gene diversity (16S rRNA gene amplicon and metagenomic sequencing analyses),

19 ctors across a phytoplankton bloom using 16S rRNA gene amplicon community profiles.

20 il physicochemical features by analyzing 16S rRNA gene amplicon data through minimum entropy decompos

21 a subset of samples for which bacterial 16S rRNA gene amplicon data were also available.

22 16S rRNA gene amplicon pyrosequencing revealed that bacteria

23 by hydrocarbon substrate, with abundant SSU rRNA gene amplicon sequences from hexadecane cultures sh

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

25 n = 36 pregnant, n = 39 lactating) using 16S rRNA gene amplicon sequencing and assessed whether the r

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

27 robiota and metabolites were analyzed by 16S rRNA gene amplicon sequencing and NMR.

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

29 ) in 8 African countries was analysed by 16S rRNA gene amplicon sequencing during the Workshop "Analy

30 The 16S rRNA gene amplicon sequencing further showed the co-pres

31 16S rRNA gene amplicon sequencing indicated that alterations

32 In this report, the 16S rRNA gene amplicon sequencing method was used to identif

33 We further used 16S rRNA gene amplicon sequencing of genomic DNA (gDNA) and

34 r pairs from six Tsimane villages, using 16S rRNA gene amplicon sequencing of longitudinal stool and

35 The Illumina MiSeq 16S rRNA gene amplicon sequencing of reactors showed that th

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

37 ross the strawberry growing season using 16S rRNA gene amplicon sequencing on the Illumina MiSeq plat

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

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

40 geted metabolomic approach combined with 16S rRNA gene amplicon sequencing to characterize the vagina

41 black bears (Ursus americanus) and used 16S rRNA gene amplicon sequencing to characterize wild black

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

43 Microbiota composition, assessed by 16S rRNA gene amplicon sequencing, also differed significant

44 nce, microbial community composition via 16S rRNA gene amplicon sequencing, and functional gene abund

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

46 In addition to 16S rRNA gene amplicon sequencing, we performed shotgun meta

47 between children and their mothers using 16S rRNA gene amplicon sequencing.

48 ve PCR and characterized microbiota with 16S rRNA gene amplicon sequencing.

49 l PCR with the high-throughput nature of 16S rRNA gene amplicon sequencing.

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

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

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

53 munities were sampled and analyzed using 16S rRNA gene amplicon sequencing.

54 rated from high-throughput sequencing of 16S rRNA gene amplicons are often preprocessed into composit

55 Sequencing of 16S rRNA gene amplicons from microbiomes harbored in adult m

56 Here, we sequenced 16S rRNA gene amplicons to elucidate the attached and suspen

57 mollusk-prokaryote interactions, we used 16S rRNA gene amplicons to evaluate how microbial compositio

58 cBio sequencing of full-length bacterial 16S rRNA gene amplicons was carried out on 21 globally colle

59 entation by quantitative and qualitative 16S rRNA gene amplification and amplicon sequencing.

60 Culture-independent 16S rRNA gene analysis revealed that both bacteria and archa

61 16S rRNA gene analysis revealed that the population of Bifid

62 presumably by ANME-2a/b as indicated by 16S rRNA gene analysis.

63 unambiguous species identification using 16S rRNA gene and average nucleotide identity, 2) determinat

64 s that mapped to specific regions of the 16S rRNA gene and corresponded with particular body sites.

65 We used metabarcoding of the 18S rRNA gene and recovered 2313 OTUs, with a total of 449 O

66 d 3 years (n = 140) were quantified with 16S rRNA gene and shotgun metagenomic sequencing (n = 101 si

67 We validate this model with 16S rRNA gene and shotgun metagenomics data from defined bac

68 on of the microbiome and resistome using 16S rRNA gene and shotgun sequencing.

69 The whole bacterial 16S rRNA gene and the fungal markers ITS and 28S rRNA were t

70 the V6 variable region of the bacterial 16S rRNA gene and the ITS1 region of the fungal ribosomal ge

71 study, we sequenced the V6 region of the 16S rRNA gene and used quantitative polymerase chain reactio

72 n generated using both sequencing of the 16S rRNA gene and whole genome shotgun metagenomic sequencin

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

74 Targeting 16S and 18S small subunit (SSU) rRNA genes and fungal Internal Transcribed Spacer (ITS)

75 c clade based on the phylogenies of both 16S rRNA genes and ribosomal proteins, which we propose to n

76 ng RNAPs within ~1 to 2 s of an encounter at rRNA genes and within ~10 s at protein-coding genes.

77 nth time-series, Bacteria dominated both the rRNA-gene and rRNA pools, followed by eukaryotes (protis

78 rwent vertebrate DNA sequencing (12S and 16S rRNA genes) and fecal metabolite screening.

79 We first analyzed the complete ITS1, 5.8S rRNA gene, and ITS2 sequences (termed ITS1-5.8S-ITS2) in

80 total number of tRNA genes, total number of rRNA genes, and codon usage bias in ribosomal protein se

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

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

83 The Average Genome Size (AGS) and the 16S rRNA gene Average Copy Number (ACN) are two highly infor

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

85 al composition diversity correlated with 16S rRNA gene based PAO phylogenetic diversity, suggesting t

86 reduction, which is consistent with the 16S rRNA-gene based characterization.

87 16S rRNA gene-based analyses suggest that the seep samples a

88 A high-throughput 16S V1-V2 rRNA gene-based metagenomics assay was developed and eva

89 This hypothesis was supported by a 16S rRNA gene-based phylogenetic analysis, which identified

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

91 s race-specific microbiota, we performed 16S rRNA gene-based sequencing of retrospective tumor and ma

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

93 ing technologies can sequence the entire 16S rRNA gene, but higher error rates have limited their att

94 at had previously been characterized via 16S rRNA gene clone libraries.

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

96 plotypes that apparently regulate the entire rRNA gene cluster.

97 the functional organization of the multicopy rRNA gene clusters (rDNA) in the nucleolus is less well

98 ly focusing on a line only containing 20% of rRNA gene copies (20rDNA line), we investigated the impa

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

100 erial load (decrease 0.3 +/- 0.3 log(10) 16S rRNA gene copies per gram), short-chain fatty acids, mic

101 l(-) d(-1)), and the total number of Dhc 16S rRNA gene copies were about 43-fold higher in incubation

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

103 ive metabolic pathway analysis using the 16S rRNA gene data revealed that in addition to the regulato

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

105 kb) which were screened against an NCBI 16S rRNA gene database.

106 , intI1, tet(O), tet(Q), tet(X), and the 16S rRNA gene) decreased significantly in runoff with increa

107 We perform gut microbial profiling using 16S rRNA gene deep sequencing on 510 fecal specimens from 16

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

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

110 Here, we characterize the 16S rRNA gene diversity and seasonal assembly of bacterial a

111 ra were analyzed using 16S variable region 4 rRNA gene DNA sequencing and Quantitative Insights Into

112 The spacer between 5S and 18S rRNA genes, especially the region downstream from the tr

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

114 mmunities is the choice of region of the 16S rRNA gene for sequencing.

115 sequencing of a phylogenetic marker, the 16S rRNA gene, for microbial identification.

116 hput sequencing (amplicon sequencing) of 16S rRNA gene fragments is widely used to profile microbial

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

118 sessed by amplification of the bacterial 16S rRNA gene from mouthwash samples.

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

120 Sequence analysis of the 16S rRNA genes from this mixture identified 15 +/- 5 distinc

121 The 16S rRNA gene has been a mainstay of sequence-based bacteria

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 We conducted 16S rRNA gene high-throughput sequencing on A. cervicornis a

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

126 ction of bacterial DNA using broad-range 16S rRNA gene hybrid capture ("16S Capture").

127 Amplicon sequencing (for example, of the 16S rRNA gene) identifies the presence and relative abundanc

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

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

130 s), and (ii) microbiome profiling of the 16S rRNA gene (Illumina).

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

132 Analysis of the V4 region of the 16S rRNA gene in fecal samples shows maternal carriage of Pr

133 as established through sequencing of the 16S rRNA gene in stool samples from 862 healthy French adult

134 erial taxa were quantified by sequencing 16S rRNA genes in fecal samples collected at 6, 12, 18, and

135 te here the linked arrangement of 5S and 45S rRNA genes in P. patens.

136 ed that there was a greater abundance of 16S rRNA genes in plants from PAT (10(13) to 10(14) copies g

137 gle cells were analysed by sequencing of 16S rRNA genes in the oligotrophic North Pacific Subtropical

138 Quantitative PCR, 16S rRNA gene metabarcoding and shotgun metagenomic sequenci

139 ed chronic mild social defeat stress and 16S rRNA gene metagenomic sequencing to investigate the role

140 nce identified the genetic background behind rRNA gene mutations causing variable levels of resistanc

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

142 erved syntenic clusters of tRNA genes and 5S rRNA genes occur across the centromeres of S. octosporus

143 sorted cells allowed us to identify the 16S rRNA gene of the uncharacterized UCYN-A3 sublineage.

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

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

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

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

148 We performed an in silico analysis of 16S rRNA gene primer sets, targeting different hypervariable

149 Metagenomic predictions based on 16S rRNA gene profiling analysis were similar, and there was

150 DNA and cDNA 16S rRNA gene profiling demonstrated that the microbial comm

151 a L. and Calendula officinalis L.) using 16S rRNA gene profiling from leaves that were fermented over

152 s question, using metatranscriptomic and 16S rRNA gene profiling techniques to compare the microbiome

153 Following 16S rRNA gene profiling, we assessed microbial community fun

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

155 ncluding metagenomic shotgun sequencing, 16S rRNA gene pyrosequencing and cloning/sequencing hgcAB ge

156 The 16S rRNA gene pyrosequencing did not have sufficient resolut

157 s included Gram stain Nugent scoring and 16S rRNA gene qPCR and HiSeq sequencing.

158 Microbial profiles were examined through 16S rRNA gene qPCR and sequencing.

159 16S rRNA gene quantification and sequencing revealed that gr

160 The nucleolus, organized around arrays of rRNA genes (rDNA), dissolves during prophase of mitosis

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

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

163 d increase in relative expression of the 16S rRNA gene (RNA/DNA) between 10 and 192 hours of incubati

164 rDNA genes, however, only a fraction of the rRNA genes seems to be active, while others are transcri

165 ties associated with Populus deltoides using rRNA gene sequence analyses and how these vary with tree

166 16S rRNA gene sequence analysis revealed diverse gut communi

167 der HAART to an HIV-negative group using 16S rRNA gene sequence analysis.

168 lds of genomic DNA with PCR-identifiable 18S rRNA gene sequence from single cells was low (15% of apl

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

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

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

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

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

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

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

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

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

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

179 By analyzing bacterial 16S rRNA gene sequences isolated from clinical samples, we u

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

181 Included studies reported 16S rRNA gene sequences of fecal samples from HIV+ patients.

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

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

184 we collected time series data of 16S and 18S rRNA gene sequences, recovered from 29 planktonic shotgu

185 ng to the metabolic predictions based on 16S rRNA gene sequences, the relative abundance of functiona

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

187 and community composition assessed using 16S rRNA gene sequences.

188 We reanalyzed raw 16S ribosomal RNA (rRNA) gene sequences and metadata from published studies

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

190 commonly performed using 16S ribosomal RNA (rRNA) gene sequences.

191 biotic resistance gene changes employing 16S rRNA gene sequencing (Illumina-Miseq) and quantitative p

192 We used next-generation 16S rRNA gene sequencing (NGS16S) to determine how often cul

193 ber and tomato samples were profiled by 16 S rRNA gene sequencing (V1-V3) in the days surrounding two

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

195 Small subunit 18S rRNA gene sequencing and accessory pigment analysis disp

196 We used 16S rRNA gene sequencing and bacterial cell sorting to evalu

197 fied as Bacillus mojavensis based on the 16S rRNA gene sequencing and biochemical properties.

198 st step toward standardizing methods for 16S rRNA gene sequencing and bioinformatics analysis of vagi

199 Bacterial profiling through 16S rRNA gene sequencing and histology showed no bacterial t

200 Both 16S rRNA gene sequencing and Lactobacillus species-specific

201 Results from 16S rRNA gene sequencing and qPCR showed that, compared with

202 (RNA-based) microbiota were analysed by 16S rRNA gene sequencing and qPCR.

203 up to 10(8) cells per g of soil based on 16S rRNA gene sequencing and quantification.

204 16S rRNA gene sequencing and RNA-Seq analyses identified com

205 named P1, P2, and P3, were identified by 16S-rRNA gene sequencing as Bacillus subtilis, Bacillus thur

206 mined their composition by multiparallel 16S rRNA gene sequencing as well as the density of bacteria

207 80 cores, DACE clustered the Lake Taihu 16S rRNA gene sequencing data ( approximately 316M reads, 30

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

209 axonomic levels multivariate analysis of 16S rRNA gene sequencing data showed diet affected faecal mi

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

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

212 icrobiota as profiled by high-throughput 16S rRNA gene sequencing is predictive of ECC onset.

213 iations in both health and disease using 16S rRNA gene sequencing of 410 individuals from across the

214 s from 100 Lynch syndrome patients using 16S rRNA gene sequencing of colon biopsies, coupled with met

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

216 le isotope signatures from fin clips and 18S rRNA gene sequencing of fecal samples identified the sma

217 16S rRNA gene sequencing of SIgA-coated/uncoated bacteria (I

218 antification of PC intake, together with 16S rRNA gene sequencing of the gut microbiota, and faecal a

219 tion, which extended to 18 months) using 16S rRNA gene sequencing of the V4 region.

220 Therefore, we performed 16S rRNA gene sequencing on rectal swab samples from 381 men

221 Differential analysis of 16S rRNA gene sequencing or L. murinus-specific qPCR of DNA

222 Additionally, 16S rRNA gene sequencing results showed that anammox bacteri

223 Furthermore, 16S rRNA gene sequencing showed that TA@RAs could increase t

224 We applied 16S rRNA gene sequencing to all nasal swabs.

225 ing RNAseq of the citrus host responses, 16S rRNA gene sequencing to characterize citrus-associated m

226 We used 16S rRNA gene sequencing to identify the dominant bacteria i

227 39 subgingival samples were subjected to 16S rRNA gene sequencing to investigate the microbiota compo

228 16S rRNA gene sequencing was performed in a cohort of 83 bio

229 High-throughput 16S rRNA gene sequencing was used to identify the bacterial

230 16S rRNA gene sequencing was utilized to determine microbiot

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

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

233 DNA extraction and 16S rRNA gene sequencing were undertaken.

234 Lung bacteria were characterized using 16S rRNA gene sequencing with novel techniques optimized for

235 B, and RV-C), nasopharyngeal microbiome (16S rRNA gene sequencing), cytokine, and metabolome (liquid

236 contact with soil was analyzed by using 16S rRNA gene sequencing, and the data were combined with im

237 ased on untargeted mass spectrometry and 16S rRNA gene sequencing, both stress and Test diet altered

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

239 Using high-resolution metabolomics and 16S rRNA gene sequencing, plasma/urine metabolomes and the f

240 The microbial composition, determined by 16S rRNA gene sequencing, was predictive of the metabolome,

241 Using 16S rRNA gene sequencing, we analyzed the tumor microbiome c

242 Using 16S rRNA gene sequencing, we found that selenate exposure al

243 Using 16S rRNA gene sequencing, we observed that phylum Proteobact

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

245 ternal body) microbial communities using 16S rRNA gene sequencing.

246 nities assessed through metagenomics and 16S rRNA gene sequencing.

247 l using the standard molecular method of 16S rRNA gene sequencing.

248 h the ThinPrep system and then underwent 16S rRNA gene sequencing.

249 lected, and microbiomes were analyzed by 16S rRNA gene sequencing.

250 The gut microbiota was profiled using 16S rRNA gene sequencing.

251 30-ml centrifuged sediment culture, and 16S rRNA gene sequencing.

252 olonies were recovered and identified by 16S rRNA gene sequencing.

253 ial community composition was studied by 16S rRNA gene sequencing.

254 Microbiome analysis was performed using 16S rRNA gene sequencing.

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

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

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

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

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

260 ng a combined approach of (RAPD)-PCR and 16S rRNA gene sequencing.

261 tween non-CA and CA individuals based on 16S rRNA gene sequencing.

262 thral microbiota was characterized using 16S rRNA gene sequencing.

263 ia, aged <= 6 years, were analyzed using 16S rRNA gene sequencing.

264 ic) from the same geographic location by 16S rRNA gene sequencing.

265 Microbial profiles were obtained through 16S rRNA gene sequencing.

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

267 In the present study, 16S ribosomal RNA (rRNA) gene sequencing was applied to saliva samples that

268 The samples were analyzed using 16S rRNA-gene sequencing (MiSeq-Illumina) and QIIME pipeline

269 g of nearly full-length fragments of the 16S rRNA gene showed that some of the species identified are

270 within the genus Brevibacterium based on 16S rRNA gene similarity and average nucleotide identity.

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

272 Here we performed a comparative 16S rRNA gene survey of the rhizosphere of 4 domesticated an

273 16S rRNA gene surveys revealed that the microbial community

274 SJ3 had the most H(2) , the most 16S rRNA gene templates and the greatest abundance of cultur

275 PCR amplification and sequencing of the 16S-rRNA gene, the potential presence of FE producing bacter

276 h-throughput sequencing of the bacterial 16S rRNA gene to assess whether significant vertical stratif

277 We sequenced the V3-4 segment of the 16S rRNA gene to characterize the bacterial community in the

278 I]) and nuclear (small subunit 18S rRNA [18S rRNA]) genes to determine a species-level molecular iden

279 idely used barcode, the V9 region of the 18S rRNA gene, to study the effect of environmental conditio

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

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

282 We sequenced the V4 region of the 16S rRNA gene using Illumina MiSeq to examine how alpha dive

283 enced (V3-V4 hypervariable region of the 16S rRNA gene) using MiSeq (Illumina, CA).

284 Amplicon sequencing of 16S rRNA gene V4 and fungal ITS1 fragments from self-collect

285 samples were amplified by targeting the 16S rRNA gene V4 region, and microbial findings were correla

286 the gut microbiota using 16S ribosomal RNA (rRNA) gene V4-V5 deep sequencing.

287 ommunity composition and structure using 16S rRNA gene (V4 region) sequencing of 97 colonic mucosal b

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

289 The 16S rRNA gene was sequenced using the Illumina MiSeq platfor

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

291 the V3-V4 hypervariable regions of the 16 S rRNA gene was used to characterize the microbial communi

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

293 ival plaque, and V3 to V4 regions of the 16S rRNA gene were sequenced.

294 Mycobacterium- and Methylobacterium-like 16S rRNA genes were often detected simultaneously, though wi

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

296 of 47 taxa inferred from analyses of the 18S rRNA gene, which found the new species clustering with T

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

298 nce method that measures the full-length 16S rRNA gene with single-nucleotide resolution and a near-z

299 the V4 hypervariable region of bacterial 16S rRNA genes with Illumina MiSeq to survey the different s

300 aliana, a significant loss of ribosomal RNA (rRNA) genes with a past history of a mutation for the ch