Auswahl der wissenschaftlichen Literatur zum Thema „16S amplicon analysis“
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Zeitschriftenartikel zum Thema "16S amplicon analysis"
Devloo-Delva, Floriaan, Roger Huerlimann, Gladys Chua, Jordan K. Matley, Michelle R. Heupel, Colin A. Simpfendorfer und Gregory E. Maes. „How does marker choice affect your diet analysis: comparing genetic markers and digestion levels for diet metabarcoding of tropical-reef piscivores“. Marine and Freshwater Research 70, Nr. 1 (2019): 8. http://dx.doi.org/10.1071/mf17209.
Der volle Inhalt der QuelleAnsorge, Rebecca, Giovanni Birolo, Stephen A. James und Andrea Telatin. „Dadaist2: A Toolkit to Automate and Simplify Statistical Analysis and Plotting of Metabarcoding Experiments“. International Journal of Molecular Sciences 22, Nr. 10 (18.05.2021): 5309. http://dx.doi.org/10.3390/ijms22105309.
Der volle Inhalt der QuelleZhang, Ke, Rongnan Lin, Yujun Chang, Qing Zhou und Zhi Zhang. „16S-FASAS: an integrated pipeline for synthetic full-length 16S rRNA gene sequencing data analysis“. PeerJ 10 (23.09.2022): e14043. http://dx.doi.org/10.7717/peerj.14043.
Der volle Inhalt der QuelleLeonard, Caroline, Damien Thiry, Bernard Taminiau, Georges Daube und Jacques Fontaine. „External Ear Canal Evaluation in Dogs with Chronic Suppurative Otitis Externa: Comparison of Direct Cytology, Bacterial Culture and 16S Amplicon Profiling“. Veterinary Sciences 9, Nr. 7 (18.07.2022): 366. http://dx.doi.org/10.3390/vetsci9070366.
Der volle Inhalt der QuelleYu, Jeong suk, Minhee Kim, Il-Hoon Cho, Yu-Min Sim und Young Sun Hwang. „Evidence Supporting Oral Hygiene Management by Owners through a Genetic Analysis of Dental Plaque Bacteria in Dogs“. Veterinary Sciences 11, Nr. 2 (19.02.2024): 96. http://dx.doi.org/10.3390/vetsci11020096.
Der volle Inhalt der QuelleTheil, Sebastien, und Etienne Rifa. „rANOMALY: AmplicoN wOrkflow for Microbial community AnaLYsis“. F1000Research 10 (07.01.2021): 7. http://dx.doi.org/10.12688/f1000research.27268.1.
Der volle Inhalt der QuelleHjelmsø, Mathis Hjort, Lars Hestbjerg Hansen, Jacob Bælum, Louise Feld, William E. Holben und Carsten Suhr Jacobsen. „High-Resolution Melt Analysis for Rapid Comparison of Bacterial Community Compositions“. Applied and Environmental Microbiology 80, Nr. 12 (07.03.2014): 3568–75. http://dx.doi.org/10.1128/aem.03923-13.
Der volle Inhalt der QuelleÁlvarez Narváez, Sonsiray, Megan S. Beaudry, Connor G. Norris, Paula B. Bartlett, Travis C. Glenn und Susan Sanchez. „Improved Equine Fecal Microbiome Characterization Using Target Enrichment by Hybridization Capture“. Animals 14, Nr. 3 (29.01.2024): 445. http://dx.doi.org/10.3390/ani14030445.
Der volle Inhalt der QuelleTang, Jianming, John K. Moulton, Kenneth Pruess, Eddie W. Cupp und Thomas R. Unnasch. „Genetic variation in North American black flies in the subgenus Psilopelmia (Simulium: Diptera: Simuliidae)“. Canadian Journal of Zoology 76, Nr. 2 (01.02.1998): 205–11. http://dx.doi.org/10.1139/z97-190.
Der volle Inhalt der QuelleNelson, Michael C., Hilary G. Morrison, Jacquelynn Benjamino, Sharon L. Grim und Joerg Graf. „Analysis, Optimization and Verification of Illumina-Generated 16S rRNA Gene Amplicon Surveys“. PLoS ONE 9, Nr. 4 (10.04.2014): e94249. http://dx.doi.org/10.1371/journal.pone.0094249.
Der volle Inhalt der QuelleDissertationen zum Thema "16S amplicon analysis"
Calus, Szymon Tomasz. „Evaluation of nanopore-based sequencing technology for gene marker based analysis of complex microbial communities : method development for accurate 16S rRNA gene amplicon sequencing“. Thesis, University of Glasgow, 2018. http://theses.gla.ac.uk/41086/.
Der volle Inhalt der QuelleZhang, Rui. „Temporal and spatial dynamics of trace metal acquisition by prokaryotic communities in the Southern Ocean“. Electronic Thesis or Diss., Sorbonne université, 2024. https://accesdistant.sorbonne-universite.fr/login?url=https://theses-intra.sorbonne-universite.fr/2024SORUS136.pdf.
Der volle Inhalt der QuelleTrace metals such as iron (Fe), manganese (Mn), nickel (Ni), and copper (Cu) play critical roles for the growth and metabolism of phototrophic and non-phototrophic prokaryotic and eukaryotic microorganisms in the ocean, and thereby influence the biogeochemical cycling of major elements. While the impact of Fe limitation on phototrophic microorganisms (phytoplankton) has been extensively investigated, the links between micronutrients and heterotrophic prokaryotes remains thus far poorly studied. This thesis investigates the metabolic potential of taxonomically diverse marine microbes to acquire trace metals using a metagenomics approach and thereby provides insights into the contribution of prokaryotic taxa to the cycling of minor and major elements on temporal and spatial scales in the Southern Ocean.The objective of Chapter 1 is to study the strategy of microbes to acquire different chemical forms of Fe under seasonally changing organic carbon requirements. Based on samples obtained by a remote autonomous sampler, high-resolution seasonal metagenomics observations from the naturally Fe-fertilized region off Kerguelen Island are presented. The results show pronounced, but distinct seasonal patterns in the abundance of genes implicated in the transport of different forms of Fe and organic substrates, of siderophore biosynthesis and carbohydrate active enzymes. The seasonal dynamics suggest a temporal decoupling in the prokaryotic requirements of Fe and organic carbon during the spring phytoplankton bloom and a concerted access to these resources after the summer bloom. Taxonomic assignments revealed differences in the prokaryotic groups harboring genes of a given Fe-related category and pronounced seasonal successions were observed. The ecological strategies provide insights on how Fe could shape microbial community composition with potential implications on organic matter transformations in the Southern Ocean.The question of how the availability of trace metals selects for prokaryotic taxa and the potential feedbacks of microbial processes on the trace metal distribution in the ocean is addressed in Chapter 2. The potential reciprocal links between diverse prokaryotic taxa and Fe, Mn, Cu, Ni as well as apparent oxygen utilization (AOU) across 12 well-defined water masses in the Southern Indian Ocean (SWINGS- South West Indian Ocean GEOTRACES GS02 Section cruise) was investigated. Partial Least Square Regression (PLSR) analysis reveals that the water masses are associated with particular latent vectors that are a combination of the spatial distribution of prokaryotic taxa, trace elements and AOU. This approach provides novel insights on the potential interactions between prokaryotic taxa and trace metals in relation to organic matter remineralization in distinct water masses of the ocean.In Chapter 3, genes related to trace-metal transport by the prokaryotic communities inhabiting the distinct water masses sampled during the SWINGS cruise were investigated. These results cover 42 samples collected from surface to depth at 13 stations in the Subtropical, Subantarctic, Polar Frontal and Antarctic zones. The abundance of genes associated with the transport of Fe, Mn, Ni and Cu in the free-living (<0.8 µm) and particle-attached fractions (>0.8 µm) were determined both at the community level as well as in metagenome assembled genomes (MAGs). The results reveal differences in the normalized abundance of these genes (GPM) depending on geographic location in surface waters, and among water masses at depth. These latter were particularly pronounced for transporters of siderophores, Mn, Ni and Cu. Each water mass contained a distinct set of abundant MAGs and these were found to differ in their repertoires of trace metal transporters. These observations suggest that the trace metals considered here could play distinct roles in microbial metabolism in different water masses, with potential feedbacks on their cycling in the ocean
Ranasinghe, Purnika Damindi. „Use of next generation sequencing for analysing taxonomical and functional composition of bacteria in an insect gut microbiome“. Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/116377/1/Purnika%20Damindi_Ranasinghe_Thesis.pdf.
Der volle Inhalt der QuelleBuchteile zum Thema "16S amplicon analysis"
Miyaue, Noriyuki. „16S rRNA Gene Amplicon Analysis of Human Gut Microbiota“. In Methods in Molecular Biology, 343–49. New York, NY: Springer US, 2024. http://dx.doi.org/10.1007/978-1-0716-3682-4_35.
Der volle Inhalt der QuelleAmir, Amnon. „Microbiome Analysis Using 16S Amplicon Sequencing: From Samples to ASVs“. In Methods in Molecular Biology, 123–41. New York, NY: Springer US, 2021. http://dx.doi.org/10.1007/978-1-0716-1103-6_7.
Der volle Inhalt der QuelleLawley, Blair, und Gerald W. Tannock. „Analysis of 16S rRNA Gene Amplicon Sequences Using the QIIME Software Package“. In Methods in Molecular Biology, 153–63. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4939-6685-1_9.
Der volle Inhalt der QuelleO.M. Al-Dahmoshi, Hussein, und Hayder J. Al-Nayili. „Mitochondrial 16S rRNA Gene-Dependent Blood Typing as a Forensic Tool“. In Forensic Analysis [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98248.
Der volle Inhalt der QuelleSaikia, Shyamalima, Minakshi Puzari und Pankaj Chetia. „System Biology and Livestock Gut Microbiome“. In Systems Biology, Bioinformatics and Livestock Science, 96–128. BENTHAM SCIENCE PUBLISHERS, 2023. http://dx.doi.org/10.2174/9789815165616123010010.
Der volle Inhalt der QuelleBerichte der Organisationen zum Thema "16S amplicon analysis"
Minz, Dror, Stefan J. Green, Noa Sela, Yitzhak Hadar, Janet Jansson und Steven Lindow. Soil and rhizosphere microbiome response to treated waste water irrigation. United States Department of Agriculture, Januar 2013. http://dx.doi.org/10.32747/2013.7598153.bard.
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