scholarly journals Dynamics and interactions of highly resolved marine plankton via automated high frequency sampling

2017 ◽  
Author(s):  
David M. Needham ◽  
Erin B. Fichot ◽  
Ellice Wang ◽  
Lyria Berdjeb ◽  
Jacob A. Cram ◽  
...  

AbstractShort time-scale observations are valuable for understanding microbial ecological processes. We assessed dynamics in relative abundance and potential activities by sequencing the small sub-unit ribosomal RNA gene (rRNA gene) and rRNA molecules (rRNA) ofBacteria,Archaea, andEukaryotaonce to twice-daily between March 2014 and May 2014 from the surface ocean off Catalina Island, California. TypicallyOstreococcus, Braarudosphaera, Teleaulax, and Synechococcusdominated phytoplankton sequences (including chloroplasts) while SAR11,Sulfitobacter, andFluviicoladominated non-phytoplanktonBacteriaandArchaea. We observed short-lived increases of diatoms, mostlyPseudo-nitzschiaandChaetoceros, with quickly respondingBacteriaandArchaeaincludingFlavobacteriaceae(Polaribacter&Formosa),Roseovarius, andEuryarchaeota(MGII), notably the exact amplicon sequence variants we observed responding similarly to another diatom bloom nearby, three years prior. We observed correlations representing known interactions among abundant phytoplankton rRNA sequences, demonstrating the biogeochemical and ecological relevance of such interactions: 1) The kleptochloroplastidic ciliateMesodinium18S rRNA gene sequences and a singleTeleaulaxtaxon (via 16S rRNA gene sequences) were correlated (Spearmanr=0.83) yet uncorrelated to aTeleaulax18S rRNA gene OTU, or any other taxon (consistent with a kleptochloroplastidic or karyoklepty relationship) and 2) the photosynthetic prymnesiophyteBraarudosphaera bigelowiiand two strains of diazotrophic cyanobacterium UCYN-A were correlated and each taxon was also correlated to other taxa, includingB. bigelowiito a verrucomicrobium and a dictyochophyte phytoplankter (allr> 0.8). We also report strong correlations (r> 0.7) between various ciliates, bacteria, and phytoplankton, suggesting interactions via currently unknown mechanisms. These data reiterate the utility of high-frequency time-series to show rapid microbial reactions to stimuli, and provide new information aboutin-situdynamics of previously recognized and hypothesized interactions.

Mycologia ◽  
1994 ◽  
Vol 86 (2) ◽  
pp. 212 ◽  
Author(s):  
Gregory S. Saenz ◽  
John W. Taylor ◽  
Andrea Gargas

2021 ◽  
Author(s):  
Kevin Xu Zhong ◽  
Anna Cho ◽  
Christophe M. Deeg ◽  
Amy M. Chan ◽  
Curtis A. Suttle

Abstract BackgroundThe microbiome affects the health of plants and animals, including humans, and has many biological, ecological and evolutionary consequences. Microbiome studies typically rely on sequencing ribosomal 16S RNA gene fragments, which serve as taxonomic markers for prokaryotic communities; however, for eukaryotic microbes this approach is compromised, because 18S rRNA gene sequences from microbial eukaryotes are swamped by contaminating host rRNA gene sequences. ResultsTo overcome this problem, we developed CRISPR-Cas Selective Amplicon Sequencing (CCSAS), a high-resolution and efficient approach for characterizing eukaryotic microbiomes. CCSAS uses taxon-specific single-guide RNA (sgRNA) to direct Cas9 to cut 18S rRNA gene sequences of the host, while leaving protistan and fungal sequences intact. We validated the specificity of the sgRNA on ten model organisms and an artificially constructed (mock) community of nine protistan and fungal pathogens. The results showed that >96.5% of host rRNA gene amplicons were cleaved, while 18S rRNA gene sequences from protists and fungi were unaffected. When used to assess the eukaryotic microbiome of oyster spat from a hatchery, CCSAS revealed a diverse community of eukaryotic microbes, typically with much less contamination from oyster 18S rRNA gene sequences than other methods using non-metazoan or blocking primers. However, each method revealed taxonomic groups that were not detected using the other methods, showing that a single approach is unlikely to uncover the entire eukaryotic microbiome in complex communities. To facilitate the application of CCSAS, we designed taxon-specific sgRNA for ~16,000 metazoan and plant taxa, making CCSAS widely available for characterizing eukaryotic microbiomes that have largely been neglected. ConclusionCCSAS provides a high-through-put and cost-effective approach for resolving the eukaryotic microbiome of metazoa and plants with minimal contamination from host 18S rRNA gene sequences. Keywords: Eukaryotic microbiome, 18S rRNA gene, Microeukaryote, CRISPR-Cas, Taxon-specific single-guide RNA, gRNA-target-site, CasOligo, CCSAS


2017 ◽  
Vol 36 ◽  
pp. 33-39 ◽  
Author(s):  
Pablo Yarza ◽  
Pelin Yilmaz ◽  
Katrin Panzer ◽  
Frank Oliver Glöckner ◽  
Marlis Reich

2001 ◽  
Vol 87 (4) ◽  
pp. 934-937 ◽  
Author(s):  
Zhao-Qing Yang ◽  
Yang-Xian Zuo ◽  
Bo Ding ◽  
Xin-Wen Chen ◽  
Jing Luo ◽  
...  

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