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      Direct observations of microbial community succession on sinking marine particles

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          Abstract

          Microbial community dynamics on sinking particles control the amount of carbon that reaches the deep ocean and the length of time that carbon is stored, with potentially profound impacts on Earth’s climate. A mechanistic understanding of the controls on sinking particle distributions has been hindered by limited depth- and time-resolved sampling and methods that cannot distinguish individual particles. Here, we analyze microbial communities on nearly 400 individual sinking particles in conjunction with more conventional composite particle samples to determine how particle colonization and community assembly might control carbon sequestration in the deep ocean. We observed community succession with corresponding changes in microbial metabolic potential on the larger sinking particles transporting a significant fraction of carbon to the deep sea. Microbial community richness decreased as particles aged and sank; however, richness increased with particle size and the attenuation of carbon export. This suggests that the theory of island biogeography applies to sinking marine particles. Changes in POC flux attenuation with time and microbial community composition with depth were reproduced in a mechanistic ecosystem model that reflected a range of POC labilities and microbial growth rates. Our results highlight microbial community dynamics and processes on individual sinking particles, the isolation of which is necessary to improve mechanistic models of ocean carbon uptake.

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          DADA2: High resolution sample inference from Illumina amplicon data

          We present DADA2, a software package that models and corrects Illumina-sequenced amplicon errors. DADA2 infers sample sequences exactly, without coarse-graining into OTUs, and resolves differences of as little as one nucleotide. In several mock communities DADA2 identified more real variants and output fewer spurious sequences than other methods. We applied DADA2 to vaginal samples from a cohort of pregnant women, revealing a diversity of previously undetected Lactobacillus crispatus variants.
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            Fast and sensitive protein alignment using DIAMOND.

            The alignment of sequencing reads against a protein reference database is a major computational bottleneck in metagenomics and data-intensive evolutionary projects. Although recent tools offer improved performance over the gold standard BLASTX, they exhibit only a modest speedup or low sensitivity. We introduce DIAMOND, an open-source algorithm based on double indexing that is 20,000 times faster than BLASTX on short reads and has a similar degree of sensitivity.
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              CheckM: assessing the quality of microbial genomes recovered from isolates, single cells, and metagenomes

              Large-scale recovery of genomes from isolates, single cells, and metagenomic data has been made possible by advances in computational methods and substantial reductions in sequencing costs. Although this increasing breadth of draft genomes is providing key information regarding the evolutionary and functional diversity of microbial life, it has become impractical to finish all available reference genomes. Making robust biological inferences from draft genomes requires accurate estimates of their completeness and contamination. Current methods for assessing genome quality are ad hoc and generally make use of a limited number of “marker” genes conserved across all bacterial or archaeal genomes. Here we introduce CheckM, an automated method for assessing the quality of a genome using a broader set of marker genes specific to the position of a genome within a reference genome tree and information about the collocation of these genes. We demonstrate the effectiveness of CheckM using synthetic data and a wide range of isolate-, single-cell-, and metagenome-derived genomes. CheckM is shown to provide accurate estimates of genome completeness and contamination and to outperform existing approaches. Using CheckM, we identify a diverse range of errors currently impacting publicly available isolate genomes and demonstrate that genomes obtained from single cells and metagenomic data vary substantially in quality. In order to facilitate the use of draft genomes, we propose an objective measure of genome quality that can be used to select genomes suitable for specific gene- and genome-centric analyses of microbial communities.
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                Author and article information

                Contributors
                Journal
                ISME J
                ISME J
                ismej
                The ISME Journal
                Oxford University Press
                1751-7362
                1751-7370
                January 2024
                10 January 2024
                10 January 2024
                : 18
                : 1
                : wrad010
                Affiliations
                Department of Ecology, Evolution and Marine Biology, Marine Science Institute, University of California , Santa Barbara, CA 93106, United States
                Present address: Institute of Oceanography, National Taiwan University , Taipei 106, Taiwan
                Monterey Bay Aquarium Research Institute , Moss Landing, CA 95039, United States
                Department of Earth, Marine, and Environmental Sciences, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, United States
                Department of Biological Sciences, University of Southern California , Los Angeles, CA 90089, United States
                Department of Integrated Sciences, Fulbright University Vietnam , Ho Chi Minh City 756000, Vietnam
                Department of Ecology, Evolution and Marine Biology, Marine Science Institute, University of California , Santa Barbara, CA 93106, United States
                School of Marine Sciences, Darling Marine Center, University of Maine , Walpole, ME 04573, United States
                Coastal & Ocean Processes Section, Virginia Institute of Marine Science, William & Mary , Gloucester Point, VA 23062, United States
                Department of Biological Sciences, University of Southern California , Los Angeles, CA 90089, United States
                Department of Earth, Marine, and Environmental Sciences, University of North Carolina at Chapel Hill , Chapel Hill, NC 27599, United States
                Department of Ecology, Evolution and Marine Biology, Marine Science Institute, University of California , Santa Barbara, CA 93106, United States
                Institute for Marine and Antarctic Studies, University of Tasmania , Hobart, Tasmania 7001, Australia
                Department of Ecology, Evolution and Marine Biology, Marine Science Institute, University of California , Santa Barbara, CA 93106, United States
                Author notes
                Corresponding authors: Brandon M. Stephens, Institute of Oceanography, National Taiwan University, Section 4, Roosevelt Rd, Taipei 106, Taiwan Email: bstephens@ 123456ntu.edu.tw and Alyson E. Santoro, Department of Ecology, Evolution and Marine Biology, Marine Science Institute, University of California, Lagoon Rd, Santa Barbara, CA 93106, United States. Email: asantoro@ 123456ucsb.edu
                Article
                wrad010
                10.1093/ismejo/wrad010
                10811735
                38365233
                963c08ff-0729-4bf2-9547-806ff7050b6d
                © The Author(s) 2024. Published by Oxford University Press on behalf of the International Society for Microbial Ecology.

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 6 November 2023
                : 10 November 2023
                : 15 November 2023
                Page count
                Pages: 00
                Funding
                Funded by: funder-nameNational Science Foundation, DOI 10.13039/100000001;
                Award ID: OCE-2023545
                Funded by: funder-nameNASA, DOI 10.13039/100000104;
                Award ID: 80NSSC17K0662
                Award ID: 80NSSC17K0552
                Award ID: 80NSSC17K0654
                Award ID: 80NSSC18K0437
                Award ID: 80NSSC18K1431
                Categories
                Original Article
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960
                AcademicSubjects/SCI01150
                AcademicSubjects/SCI02281

                Microbiology & Virology
                16s rrna,metagenomes,sinking particles,particle lability,community succession,island biogeography,bacterial community diversity,individual particles,carbon export

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