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      Abiotic selection of microbial genome size in the global ocean

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          Abstract

          Strong purifying selection is considered a major evolutionary force behind small microbial genomes in the resource-poor photic ocean. However, very little is currently known about how the size of prokaryotic genomes evolves in the global ocean and whether patterns reflect shifts in resource availability in the epipelagic and relatively stable deep-sea environmental conditions. Using 364 marine microbial metagenomes, we investigate how the average genome size of uncultured planktonic prokaryotes varies across the tropical and polar oceans to the hadal realm. We find that genome size is highest in the perennially cold polar ocean, reflecting elongation of coding genes and gene dosage effects due to duplications in the interior ocean microbiome. Moreover, the rate of change in genome size due to temperature is 16-fold higher than with depth up to 200 m. Our results demonstrate how environmental factors can influence marine microbial genome size selection and ecological strategies of the microbiome.

          Abstract

          This study investigates the average genome size of planktonic prokaryotes across tropical and polar oceans and down to the hadal realm. Using hundreds of metagenomes of marine microorganisms, genome size was found to be highest in the perennially cold polar ocean, suggesting that environmental factors influence genome size selection and the ecological strategies of marine microbes.

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            metaSPAdes: a new versatile metagenomic assembler

            While metagenomics has emerged as a technology of choice for analyzing bacterial populations, the assembly of metagenomic data remains challenging, thus stifling biological discoveries. Moreover, recent studies revealed that complex bacterial populations may be composed from dozens of related strains, thus further amplifying the challenge of metagenomic assembly. metaSPAdes addresses various challenges of metagenomic assembly by capitalizing on computational ideas that proved to be useful in assemblies of single cells and highly polymorphic diploid genomes. We benchmark metaSPAdes against other state-of-the-art metagenome assemblers and demonstrate that it results in high-quality assemblies across diverse data sets.
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                Author and article information

                Contributors
                david.ngugi@dsmz.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                13 March 2023
                13 March 2023
                2023
                : 14
                : 1384
                Affiliations
                [1 ]GRID grid.420081.f, ISNI 0000 0000 9247 8466, Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures, ; Braunschweig, Germany
                [2 ]GRID grid.418218.6, ISNI 0000 0004 1793 765X, Department of Marine Biology and Oceanography, , Institut de Ciències del Mar, CSIC, ; Barcelona, Spain
                [3 ]GRID grid.45672.32, ISNI 0000 0001 1926 5090, King Abdullah University of Science and Technology, Red Sea Research Center, ; Thuwal, Saudi Arabia
                [4 ]GRID grid.410445.0, ISNI 0000 0001 2188 0957, Department of Oceanography, School of Ocean and Earth Science and Technology, , University of Hawaií at Mãnoa, ; Honolulu, USA
                Author information
                http://orcid.org/0000-0002-0442-4279
                http://orcid.org/0000-0002-3439-0428
                http://orcid.org/0000-0003-2787-822X
                http://orcid.org/0000-0001-5238-2387
                http://orcid.org/0000-0003-0536-7293
                http://orcid.org/0000-0002-6660-6721
                http://orcid.org/0000-0002-1213-1361
                Article
                36988
                10.1038/s41467-023-36988-x
                10011403
                36914646
                d96f1e5b-121d-4c27-8ce5-557cc2ba071c
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 April 2022
                : 27 February 2023
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: NG183/2-1
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000015, U.S. Department of Energy (DOE);
                Award ID: DE-AC02 05CH11231
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2023

                Uncategorized
                microbial ecology,molecular ecology,metagenomics
                Uncategorized
                microbial ecology, molecular ecology, metagenomics

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