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Items: 1 to 20 of 344

1.

Microbial Communities and Diversities in Mudflat Sediments Analyzed Using a Modified Metatranscriptomic Method.

Yan YW, Jiang QY, Wang JG, Zhu T, Zou B, Qiu QF, Quan ZX.

Front Microbiol. 2018 Jan 31;9:93. doi: 10.3389/fmicb.2018.00093. eCollection 2018.

2.

Linking bacterial community structure to advection and environmental impact along a coast-fjord gradient of the Sognefjord, western Norway.

Storesund JE, Sandaa RA, Thingstad TF, Asplin L, Albretsen J, Erga SR.

Prog Oceanogr. 2017 Dec;159:13-30. doi: 10.1016/j.pocean.2017.09.002.

3.

Resolving Species Level Changes in a Representative Soil Bacterial Community Using Microfluidic Quantitative PCR.

Kleyer H, Tecon R, Or D.

Front Microbiol. 2017 Oct 25;8:2017. doi: 10.3389/fmicb.2017.02017. eCollection 2017.

4.

Biases during DNA extraction affect bacterial and archaeal community profile of anaerobic digestion samples.

Roopnarain A, Mukhuba M, Adeleke R, Moeletsi M.

3 Biotech. 2017 Dec;7(6):375. doi: 10.1007/s13205-017-1009-x. Epub 2017 Oct 23.

PMID:
29071172
5.

Template Preparation Affects 16S rRNA High-Throughput Sequencing Analysis of Phyllosphere Microbial Communities.

Tian X, Shi Y, Geng L, Chu H, Zhang J, Song F, Duan J, Shu C.

Front Plant Sci. 2017 Sep 26;8:1623. doi: 10.3389/fpls.2017.01623. eCollection 2017.

6.

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 Oct 10;12(10):e0186161. doi: 10.1371/journal.pone.0186161. eCollection 2017.

7.

16S rRNA gene sequencing on a benchtop sequencer: accuracy for identification of clinically important bacteria.

Watts GS, Youens-Clark K, Slepian MJ, Wolk DM, Oshiro MM, Metzger GS, Dhingra D, Cranmer LD, Hurwitz BL.

J Appl Microbiol. 2017 Dec;123(6):1584-1596. doi: 10.1111/jam.13590. Epub 2017 Nov 7.

8.

Analysis and comparison of the wolf microbiome under different environmental factors using three different data of Next Generation Sequencing.

Wu X, Zhang H, Chen J, Shang S, Yan J, Chen Y, Tang X, Zhang H.

Sci Rep. 2017 Sep 12;7(1):11332. doi: 10.1038/s41598-017-11770-4.

9.

Metagenomic investigation of gastrointestinal microbiome in cattle.

Kim M, Park T, Yu Z.

Asian-Australas J Anim Sci. 2017 Nov;30(11):1515-1528. doi: 10.5713/ajas.17.0544. Epub 2017 Aug 22. Review.

10.

Cyanobacterial Diversity in Microbial Mats from the Hypersaline Lagoon System of Araruama, Brazil: An In-depth Polyphasic Study.

Ramos VMC, Castelo-Branco R, Leão PN, Martins J, Carvalhal-Gomes S, Sobrinho da Silva F, Mendonça Filho JG, Vasconcelos VM.

Front Microbiol. 2017 Jun 30;8:1233. doi: 10.3389/fmicb.2017.01233. eCollection 2017.

11.

Method for preparing DNA from feces in guanidine thiocyanate solution affects 16S rRNA-based profiling of human microbiota diversity.

Hosomi K, Ohno H, Murakami H, Natsume-Kitatani Y, Tanisawa K, Hirata S, Suzuki H, Nagatake T, Nishino T, Mizuguchi K, Miyachi M, Kunisawa J.

Sci Rep. 2017 Jun 28;7(1):4339. doi: 10.1038/s41598-017-04511-0.

12.

Vaginal and Uterine Bacterial Communities in Postpartum Lactating Cows.

Clemmons BA, Reese ST, Dantas FG, Franco GA, Smith TPL, Adeyosoye OI, Pohler KG, Myer PR.

Front Microbiol. 2017 Jun 8;8:1047. doi: 10.3389/fmicb.2017.01047. eCollection 2017.

13.

Reducing Viability Bias in Analysis of Gut Microbiota in Preterm Infants at Risk of NEC and Sepsis.

Young GR, Smith DL, Embleton ND, Berrington JE, Schwalbe EC, Cummings SP, van der Gast CJ, Lanyon C.

Front Cell Infect Microbiol. 2017 Jun 6;7:237. doi: 10.3389/fcimb.2017.00237. eCollection 2017.

14.

Delineating bacterial community structure of polluted soil samples collected from cancer prone belt of Punjab, India.

Kaur G, Sharma R, Singh K, Sharma PK.

3 Biotech. 2015 Oct;5(5):727-734. doi: 10.1007/s13205-014-0270-5. Epub 2015 Jan 7.

15.

Capturing Compositional Variation in Denitrifying Communities: a Multiple-Primer Approach That Includes Epsilonproteobacteria.

Murdock SA, Juniper SK.

Appl Environ Microbiol. 2017 Mar 2;83(6). pii: e02753-16. doi: 10.1128/AEM.02753-16. Print 2017 Mar 15.

16.

High diversity of airborne fungi in the hospital environment as revealed by meta-sequencing-based microbiome analysis.

Tong X, Xu H, Zou L, Cai M, Xu X, Zhao Z, Xiao F, Li Y.

Sci Rep. 2017 Jan 3;7:39606. doi: 10.1038/srep39606.

17.

Multi-template polymerase chain reaction.

Kalle E, Kubista M, Rensing C.

Biomol Detect Quantif. 2014 Dec 4;2:11-29. eCollection 2014 Dec. Review.

18.

Accurate Estimation of Fungal Diversity and Abundance through Improved Lineage-Specific Primers Optimized for Illumina Amplicon Sequencing.

Taylor DL, Walters WA, Lennon NJ, Bochicchio J, Krohn A, Caporaso JG, Pennanen T.

Appl Environ Microbiol. 2016 Nov 21;82(24):7217-7226. Print 2016 Dec 15.

19.

Uncovering Trophic Interactions in Arthropod Predators through DNA Shotgun-Sequencing of Gut Contents.

Paula DP, Linard B, Crampton-Platt A, Srivathsan A, Timmermans MJ, Sujii ER, Pires CS, Souza LM, Andow DA, Vogler AP.

PLoS One. 2016 Sep 13;11(9):e0161841. doi: 10.1371/journal.pone.0161841. eCollection 2016.

20.

Characterising the Canine Oral Microbiome by Direct Sequencing of Reverse-Transcribed rRNA Molecules.

McDonald JE, Larsen N, Pennington A, Connolly J, Wallis C, Rooks DJ, Hall N, McCarthy AJ, Allison HE.

PLoS One. 2016 Jun 8;11(6):e0157046. doi: 10.1371/journal.pone.0157046. eCollection 2016.

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