110 related articles for article (PubMed ID: 37974518)
1. Simultaneous analysis of seven 16S rRNA hypervariable gene regions increases efficiency in marine bacterial diversity detection.
Leontidou K; Abad-Recio IL; Rubel V; Filker S; Däumer M; Thielen A; Lanzén A; Stoeck T
Environ Microbiol; 2023 Dec; 25(12):3484-3501. PubMed ID: 37974518
[TBL] [Abstract][Full Text] [Related]
2. rpoB, a promising marker for analyzing the diversity of bacterial communities by amplicon sequencing.
Ogier JC; Pagès S; Galan M; Barret M; Gaudriault S
BMC Microbiol; 2019 Jul; 19(1):171. PubMed ID: 31357928
[TBL] [Abstract][Full Text] [Related]
3. Comparison of different hypervariable regions of 16S rRNA for taxonomic profiling of vaginal microbiota using next-generation sequencing.
Sirichoat A; Sankuntaw N; Engchanil C; Buppasiri P; Faksri K; Namwat W; Chantratita W; Lulitanond V
Arch Microbiol; 2021 Apr; 203(3):1159-1166. PubMed ID: 33221964
[TBL] [Abstract][Full Text] [Related]
4. Optimisation of methods for bacterial skin microbiome investigation: primer selection and comparison of the 454 versus MiSeq platform.
Castelino M; Eyre S; Moat J; Fox G; Martin P; Ho P; Upton M; Barton A
BMC Microbiol; 2017 Jan; 17(1):23. PubMed ID: 28109256
[TBL] [Abstract][Full Text] [Related]
5. Determining the most accurate 16S rRNA hypervariable region for taxonomic identification from respiratory samples.
López-Aladid R; Fernández-Barat L; Alcaraz-Serrano V; Bueno-Freire L; Vázquez N; Pastor-Ibáñez R; Palomeque A; Oscanoa P; Torres A
Sci Rep; 2023 Mar; 13(1):3974. PubMed ID: 36894603
[TBL] [Abstract][Full Text] [Related]
6. Development of an Analysis Pipeline Characterizing Multiple Hypervariable Regions of 16S rRNA Using Mock Samples.
Barb JJ; Oler AJ; Kim HS; Chalmers N; Wallen GR; Cashion A; Munson PJ; Ames NJ
PLoS One; 2016; 11(2):e0148047. PubMed ID: 26829716
[TBL] [Abstract][Full Text] [Related]
7. Primer Design for an Accurate View of Picocyanobacterial Community Structure by Using High-Throughput Sequencing.
Huber P; Cornejo-Castillo FM; Ferrera I; Sánchez P; Logares R; Metz S; Balagué V; Acinas SG; Gasol JM; Unrein F
Appl Environ Microbiol; 2019 Apr; 85(7):. PubMed ID: 30709827
[TBL] [Abstract][Full Text] [Related]
8. Analysis of the effect of smoking on the buccal microbiome using next-generation sequencing technology.
Karabudak S; Ari O; Durmaz B; Dal T; Basyigit T; Kalcioglu MT; Durmaz R
J Med Microbiol; 2019 Aug; 68(8):1148-1158. PubMed ID: 31199220
[TBL] [Abstract][Full Text] [Related]
9. Choice of 16S Ribosomal RNA Primers Impacts Male Urinary Microbiota Profiling.
Heidrich V; Inoue LT; Asprino PF; Bettoni F; Mariotti ACH; Bastos DA; Jardim DLF; Arap MA; Camargo AA
Front Cell Infect Microbiol; 2022; 12():862338. PubMed ID: 35531325
[TBL] [Abstract][Full Text] [Related]
10. [Strategy of selecting 16S rRNA hypervariable regions for metagenome-phylogenetic marker genes based analysis].
Zhang JY; Zhu BC; Xu C; Ding X; Li JF; Zhang XG; Lu ZH
Ying Yong Sheng Tai Xue Bao; 2015 Nov; 26(11):3545-53. PubMed ID: 26915214
[TBL] [Abstract][Full Text] [Related]
11. Exploring protocol bias in airway microbiome studies: one versus two PCR steps and 16S rRNA gene region V3 V4 versus V4.
Drengenes C; Eagan TML; Haaland I; Wiker HG; Nielsen R
BMC Genomics; 2021 Jan; 22(1):3. PubMed ID: 33397283
[TBL] [Abstract][Full Text] [Related]
12. An accurate and efficient experimental approach for characterization of the complex oral microbiota.
Zheng W; Tsompana M; Ruscitto A; Sharma A; Genco R; Sun Y; Buck MJ
Microbiome; 2015 Oct; 3():48. PubMed ID: 26437933
[TBL] [Abstract][Full Text] [Related]
13. Strain-Level Profiling of Oral Microbiota with Targeted Sequencing.
Mukherjee C; Leys EJ
Methods Mol Biol; 2021; 2327():239-252. PubMed ID: 34410649
[TBL] [Abstract][Full Text] [Related]
14. The effect of 16S rRNA region choice on bacterial community metabarcoding results.
Bukin YS; Galachyants YP; Morozov IV; Bukin SV; Zakharenko AS; Zemskaya TI
Sci Data; 2019 Feb; 6():190007. PubMed ID: 30720800
[TBL] [Abstract][Full Text] [Related]
15. Amplicon Sequencing of Single-Copy Protein-Coding Genes Reveals Accurate Diversity for Sequence-Discrete Microbiome Populations.
Yang C; Su Q; Tang M; Luo S; Zheng H; Zhang X; Zhou X
Microbiol Spectr; 2022 Apr; 10(2):e0210521. PubMed ID: 35416715
[TBL] [Abstract][Full Text] [Related]
16. Soil bacterial diversity screening using single 16S rRNA gene V regions coupled with multi-million read generating sequencing technologies.
Vasileiadis S; Puglisi E; Arena M; Cappa F; Cocconcelli PS; Trevisan M
PLoS One; 2012; 7(8):e42671. PubMed ID: 22880076
[TBL] [Abstract][Full Text] [Related]
17. Optimisation of 16S rRNA gut microbiota profiling of extremely low birth weight infants.
Alcon-Giner C; Caim S; Mitra S; Ketskemety J; Wegmann U; Wain J; Belteki G; Clarke P; Hall LJ
BMC Genomics; 2017 Nov; 18(1):841. PubMed ID: 29096601
[TBL] [Abstract][Full Text] [Related]
18. Targeting the 16S rRNA Gene by Reverse Complement PCR Next-Generation Sequencing: Specific and Sensitive Detection and Identification of Microbes Directly in Clinical Samples.
Moorlag SJCFM; Coolen JPM; van den Bosch B; Jin EH; Buil JB; Wertheim HFL; Melchers WJG
Microbiol Spectr; 2023 Jun; 11(3):e0448322. PubMed ID: 37227289
[TBL] [Abstract][Full Text] [Related]
19. Sediment-associated bacterial community and predictive functionalities are influenced by choice of 16S ribosomal RNA hypervariable region(s): An amplicon-based diversity study.
Rajeev M; Sushmitha TJ; Toleti SR; Pandian SK
Genomics; 2020 Nov; 112(6):4968-4979. PubMed ID: 32911024
[TBL] [Abstract][Full Text] [Related]
20. Impact of DNA Sequencing and Analysis Methods on 16S rRNA Gene Bacterial Community Analysis of Dairy Products.
Xue Z; Kable ME; Marco ML
mSphere; 2018 Oct; 3(5):. PubMed ID: 30333179
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]