1324 related articles for article (PubMed ID: 26271760)
1. Every base matters: assessing small subunit rRNA primers for marine microbiomes with mock communities, time series and global field samples.
Parada AE; Needham DM; Fuhrman JA
Environ Microbiol; 2016 May; 18(5):1403-14. PubMed ID: 26271760
[TBL] [Abstract][Full Text] [Related]
2. Comprehensive single-PCR 16S and 18S rRNA community analysis validated with mock communities, and estimation of sequencing bias against 18S.
Yeh YC; McNichol J; Needham DM; Fichot EB; Berdjeb L; Fuhrman JA
Environ Microbiol; 2021 Jun; 23(6):3240-3250. PubMed ID: 33938123
[TBL] [Abstract][Full Text] [Related]
3. Primer selection impacts specific population abundances but not community dynamics in a monthly time-series 16S rRNA gene amplicon analysis of coastal marine bacterioplankton.
Wear EK; Wilbanks EG; Nelson CE; Carlson CA
Environ Microbiol; 2018 Aug; 20(8):2709-2726. PubMed ID: 29521439
[TBL] [Abstract][Full Text] [Related]
4. Evaluating and Improving Small Subunit rRNA PCR Primer Coverage for Bacteria, Archaea, and Eukaryotes Using Metagenomes from Global Ocean Surveys.
McNichol J; Berube PM; Biller SJ; Fuhrman JA
mSystems; 2021 Jun; 6(3):e0056521. PubMed ID: 34060911
[TBL] [Abstract][Full Text] [Related]
5. Design and experimental application of a novel non-degenerate universal primer set that amplifies prokaryotic 16S rRNA genes with a low possibility to amplify eukaryotic rRNA genes.
Mori H; Maruyama F; Kato H; Toyoda A; Dozono A; Ohtsubo Y; Nagata Y; Fujiyama A; Tsuda M; Kurokawa K
DNA Res; 2014; 21(2):217-27. PubMed ID: 24277737
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. Evaluation of primer pairs for microbiome profiling from soils to humans within the One Health framework.
Wasimuddin ; Schlaeppi K; Ronchi F; Leib SL; Erb M; Ramette A
Mol Ecol Resour; 2020 Nov; 20(6):1558-1571. PubMed ID: 32599660
[TBL] [Abstract][Full Text] [Related]
8. Primer, Pipelines, Parameters: Issues in 16S rRNA Gene Sequencing.
Abellan-Schneyder I; Matchado MS; Reitmeier S; Sommer A; Sewald Z; Baumbach J; List M; Neuhaus K
mSphere; 2021 Feb; 6(1):. PubMed ID: 33627512
[TBL] [Abstract][Full Text] [Related]
9. Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal Internal Transcribed Spacer Marker Gene Primers for Microbial Community Surveys.
Walters W; Hyde ER; Berg-Lyons D; Ackermann G; Humphrey G; Parada A; Gilbert JA; Jansson JK; Caporaso JG; Fuhrman JA; Apprill A; Knight R
mSystems; 2016; 1(1):. PubMed ID: 27822518
[TBL] [Abstract][Full Text] [Related]
10. Fine-scale evaluation of two standard 16S rRNA gene amplicon primer pairs for analysis of total prokaryotes and archaeal nitrifiers in differently managed soils.
Zhao J; Rodriguez J; Martens-Habbena W
Front Microbiol; 2023; 14():1140487. PubMed ID: 36910167
[TBL] [Abstract][Full Text] [Related]
11. 16S rRNA gene sequencing of mock microbial populations- impact of DNA extraction method, primer choice and sequencing platform.
Fouhy F; Clooney AG; Stanton C; Claesson MJ; Cotter PD
BMC Microbiol; 2016 Jun; 16(1):123. PubMed ID: 27342980
[TBL] [Abstract][Full Text] [Related]
12. Short- and long-read metabarcoding of the eukaryotic rRNA operon: Evaluation of primers and comparison to shotgun metagenomics sequencing.
Latz MAC; Grujcic V; Brugel S; Lycken J; John U; Karlson B; Andersson A; Andersson AF
Mol Ecol Resour; 2022 Aug; 22(6):2304-2318. PubMed ID: 35437888
[TBL] [Abstract][Full Text] [Related]
13. Improved 18S and 28S rDNA primer sets for NGS-based parasite detection.
Kounosu A; Murase K; Yoshida A; Maruyama H; Kikuchi T
Sci Rep; 2019 Oct; 9(1):15789. PubMed ID: 31673037
[TBL] [Abstract][Full Text] [Related]
14. The truth about metagenomics: quantifying and counteracting bias in 16S rRNA studies.
Brooks JP; Edwards DJ; Harwich MD; Rivera MC; Fettweis JM; Serrano MG; Reris RA; Sheth NU; Huang B; Girerd P; ; Strauss JF; Jefferson KK; Buck GA
BMC Microbiol; 2015 Mar; 15():66. PubMed ID: 25880246
[TBL] [Abstract][Full Text] [Related]
15. Modified RNA-seq method for microbial community and diversity analysis using rRNA in different types of environmental samples.
Yan YW; Zou B; Zhu T; Hozzein WN; Quan ZX
PLoS One; 2017; 12(10):e0186161. PubMed ID: 29016661
[TBL] [Abstract][Full Text] [Related]
16. Bacterial and Eukaryotic Small-Subunit Amplicon Data Do Not Provide a Quantitative Picture of Microbial Communities, but They Are Reliable in the Context of Ecological Interpretations.
Piwosz K; Shabarova T; Pernthaler J; Posch T; Šimek K; Porcal P; Salcher MM
mSphere; 2020 Mar; 5(2):. PubMed ID: 32132159
[TBL] [Abstract][Full Text] [Related]
17. Design and evaluation of universal 16S rRNA gene primers for high-throughput sequencing to simultaneously detect DAMO microbes and anammox bacteria.
Lu YZ; Ding ZW; Ding J; Fu L; Zeng RJ
Water Res; 2015 Dec; 87():385-94. PubMed ID: 26454634
[TBL] [Abstract][Full Text] [Related]
18. Design and Evaluation of Illumina MiSeq-Compatible, 18S rRNA Gene-Specific Primers for Improved Characterization of Mixed Phototrophic Communities.
Bradley IM; Pinto AJ; Guest JS
Appl Environ Microbiol; 2016 Oct; 82(19):5878-91. PubMed ID: 27451454
[TBL] [Abstract][Full Text] [Related]
19. Pipeline for amplifying and analyzing amplicons of the V1-V3 region of the 16S rRNA gene.
Allen HK; Bayles DO; Looft T; Trachsel J; Bass BE; Alt DP; Bearson SM; Nicholson T; Casey TA
BMC Res Notes; 2016 Aug; 9():380. PubMed ID: 27485508
[TBL] [Abstract][Full Text] [Related]
20. Different Amplicon Targets for Sequencing-Based Studies of Fungal Diversity.
De Filippis F; Laiola M; Blaiotta G; Ercolini D
Appl Environ Microbiol; 2017 Sep; 83(17):. PubMed ID: 28625991
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]