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      Improved Bacterial 16S rRNA Gene (V4 and V4-5) and Fungal Internal Transcribed Spacer Marker Gene Primers for Microbial Community Surveys.

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          Abstract

          Designing primers for PCR-based taxonomic surveys that amplify a broad range of phylotypes in varied community samples is a difficult challenge, and the comparability of data sets amplified with varied primers requires attention. Here, we examined the performance of modified 16S rRNA gene and internal transcribed spacer (ITS) primers for archaea/bacteria and fungi, respectively, with nonaquatic samples. We moved primer bar codes to the 5' end, allowing for a range of different 3' primer pairings, such as the 515f/926r primer pair, which amplifies variable regions 4 and 5 of the 16S rRNA gene. We additionally demonstrated that modifications to the 515f/806r (variable region 4) 16S primer pair, which improves detection of Thaumarchaeota and clade SAR11 in marine samples, do not degrade performance on taxa already amplified effectively by the original primer set. Alterations to the fungal ITS primers did result in differential but overall improved performance compared to the original primers. In both cases, the improved primers should be widely adopted for amplicon studies. IMPORTANCE We continue to uncover a wealth of information connecting microbes in important ways to human and environmental ecology. As our scientific knowledge and technical abilities improve, the tools used for microbiome surveys can be modified to improve the accuracy of our techniques, ensuring that we can continue to identify groundbreaking connections between microbes and the ecosystems they populate, from ice caps to the human body. It is important to confirm that modifications to these tools do not cause new, detrimental biases that would inhibit the field rather than continue to move it forward. We therefore demonstrated that two recently modified primer pairs that target taxonomically discriminatory regions of bacterial and fungal genomic DNA do not introduce new biases when used on a variety of sample types, from soil to human skin. This confirms the utility of these primers for maintaining currently recommended microbiome research techniques as the state of the art.

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          Most cited references7

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          Global patterns of 16S rRNA diversity at a depth of millions of sequences per sample.

          The ongoing revolution in high-throughput sequencing continues to democratize the ability of small groups of investigators to map the microbial component of the biosphere. In particular, the coevolution of new sequencing platforms and new software tools allows data acquisition and analysis on an unprecedented scale. Here we report the next stage in this coevolutionary arms race, using the Illumina GAIIx platform to sequence a diverse array of 25 environmental samples and three known "mock communities" at a depth averaging 3.1 million reads per sample. We demonstrate excellent consistency in taxonomic recovery and recapture diversity patterns that were previously reported on the basis of metaanalysis of many studies from the literature (notably, the saline/nonsaline split in environmental samples and the split between host-associated and free-living communities). We also demonstrate that 2,000 Illumina single-end reads are sufficient to recapture the same relationships among samples that we observe with the full dataset. The results thus open up the possibility of conducting large-scale studies analyzing thousands of samples simultaneously to survey microbial communities at an unprecedented spatial and temporal resolution.
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            Error-correcting barcoded primers for pyrosequencing hundreds of samples in multiplex.

            We constructed error-correcting DNA barcodes that allow one run of a massively parallel pyrosequencer to process up to 1,544 samples simultaneously. Using these barcodes we processed bacterial 16S rRNA gene sequences representing microbial communities in 286 environmental samples, corrected 92% of sample assignment errors, and thus characterized nearly as many 16S rRNA genes as have been sequenced to date by Sanger sequencing.
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              SAR11 clade dominates ocean surface bacterioplankton communities.

              The most abundant class of bacterial ribosomal RNA genes detected in seawater DNA by gene cloning belongs to SAR11-an alpha-proteobacterial clade. Other than indications of their prevalence in seawater, little is known about these organisms. Here we report quantitative measurements of the cellular abundance of the SAR11 clade in northwestern Sargasso Sea waters to 3,000 m and in Oregon coastal surface waters. On average, the SAR11 clade accounts for a third of the cells present in surface waters and nearly a fifth of the cells present in the mesopelagic zone. In some regions, members of the SAR11 clade represent as much as 50% of the total surface microbial community and 25% of the subeuphotic microbial community. By extrapolation, we estimate that globally there are 2.4 x 10(28) SAR11 cells in the oceans, half of which are located in the euphotic zone. Although the biogeochemical role of the SAR11 clade remains uncertain, these data support the conclusion that this microbial group is among the most successful organisms on Earth.
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                Author and article information

                Journal
                mSystems
                mSystems
                American Society for Microbiology
                2379-5077
                2379-5077
                November 9 2016
                : 1
                : 1
                Affiliations
                [1 ] Department of Molecular Biology and Genetics, Cornell University, Ithaca, New York, USA.
                [2 ] Department of Pediatrics, University of California at San Diego, La Jolla, California, USA.
                [3 ] BioFrontiers Institute, University of Colorado at Boulder, Boulder, Colorado, USA.
                [4 ] Department of Biological Sciences, University of Southern California, Los Angeles, California, USA.
                [5 ] Biosciences Division (BIO), Argonne National Laboratory, Argonne, Illinois, USA; Departments of Ecology and Evolution and Surgery, The University of Chicago, Chicago, Illinois, USA; Institute for Genomic and Systems Biology, The University of Chicago, Chicago, Illinois, USA; The Marine Biological Laboratory, Woods Hole, Massachusetts, USA; The Field Museum of Natural History, Chicago, Illinois, USA.
                [6 ] Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, Washington, USA.
                [7 ] Department of Biological Sciences, Northern Arizona University, Flagstaff, Arizona, USA.
                [8 ] Department of Marine Chemistry and Geochemistry, Woods Hole Oceanographic Institution, Woods Hole, Massachusetts, USA.
                [9 ] Department of Pediatrics, University of California at San Diego, La Jolla, California, USA; Department of Computer Science and Engineering Department, University of California at San Diego, La Jolla, California, USA.
                Article
                mSystems00009-15
                10.1128/mSystems.00009-15
                5069754
                27822518
                93aeb1c1-094a-4a7f-beb6-6789344522cc
                History

                primers,microbial ecology,ITS,marker genes,16S
                primers, microbial ecology, ITS, marker genes, 16S

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