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      Macroalgal virosphere assists with host–microbiome equilibrium regulation and affects prokaryotes in surrounding marine environments

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          Abstract

          The microbiomes in macroalgal holobionts play vital roles in regulating macroalgal growth and ocean carbon cycling. However, the virospheres in macroalgal holobionts remain largely underexplored, representing a critical knowledge gap. Here we unveil that the holobiont of kelp ( Saccharina japonica) harbors highly specific and unique epiphytic/endophytic viral species, with novelty (99.7% unknown) surpassing even extreme marine habitats (e.g. deep-sea and hadal zones), indicating that macroalgal virospheres, despite being closest to us, are among the least understood. These viruses potentially maintain microbiome equilibrium critical for kelp health via lytic-lysogenic infections and the expression of folate biosynthesis genes. In-situ kelp mesocosm cultivation and metagenomic mining revealed that kelp holobiont profoundly reshaped surrounding seawater and sediment virus–prokaryote pairings through changing surrounding environmental conditions and virus–host migrations. Some kelp epiphytic viruses could even infect sediment autochthonous bacteria after deposition. Moreover, the presence of ample viral auxiliary metabolic genes for kelp polysaccharide (e.g. laminarin) degradation underscores the underappreciated viral metabolic influence on macroalgal carbon cycling. This study provides key insights into understanding the previously overlooked ecological significance of viruses within macroalgal holobionts and the macroalgae–prokaryotes–virus tripartite relationship.

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          Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2

          In comparative high-throughput sequencing assays, a fundamental task is the analysis of count data, such as read counts per gene in RNA-seq, for evidence of systematic changes across experimental conditions. Small replicate numbers, discreteness, large dynamic range and the presence of outliers require a suitable statistical approach. We present DESeq2, a method for differential analysis of count data, using shrinkage estimation for dispersions and fold changes to improve stability and interpretability of estimates. This enables a more quantitative analysis focused on the strength rather than the mere presence of differential expression. The DESeq2 package is available at http://www.bioconductor.org/packages/release/bioc/html/DESeq2.html. Electronic supplementary material The online version of this article (doi:10.1186/s13059-014-0550-8) contains supplementary material, which is available to authorized users.
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            Fast gapped-read alignment with Bowtie 2.

            As the rate of sequencing increases, greater throughput is demanded from read aligners. The full-text minute index is often used to make alignment very fast and memory-efficient, but the approach is ill-suited to finding longer, gapped alignments. Bowtie 2 combines the strengths of the full-text minute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to achieve a combination of high speed, sensitivity and accuracy.
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              CD-HIT: accelerated for clustering the next-generation sequencing data

              Summary: CD-HIT is a widely used program for clustering biological sequences to reduce sequence redundancy and improve the performance of other sequence analyses. In response to the rapid increase in the amount of sequencing data produced by the next-generation sequencing technologies, we have developed a new CD-HIT program accelerated with a novel parallelization strategy and some other techniques to allow efficient clustering of such datasets. Our tests demonstrated very good speedup derived from the parallelization for up to ∼24 cores and a quasi-linear speedup for up to ∼8 cores. The enhanced CD-HIT is capable of handling very large datasets in much shorter time than previous versions. Availability: http://cd-hit.org. Contact: liwz@sdsc.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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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
                06 May 2024
                06 May 2024
                : 18
                : 1
                : wrae083
                Affiliations
                Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, 266101, China
                Shandong Energy Institute , Qingdao, Shandong, 266101, China
                Qingdao New Energy Shandong Laboratory , Qingdao, 266101, China
                Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, 266101, China
                Shandong Energy Institute , Qingdao, Shandong, 266101, China
                Qingdao New Energy Shandong Laboratory , Qingdao, 266101, China
                Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, 266101, China
                Shandong Energy Institute , Qingdao, Shandong, 266101, China
                Qingdao New Energy Shandong Laboratory , Qingdao, 266101, China
                University of Chinese Academy of Sciences , Beijing, 100049, China
                Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, 266101, China
                Shandong Energy Institute , Qingdao, Shandong, 266101, China
                Qingdao New Energy Shandong Laboratory , Qingdao, 266101, China
                Institute of Marine Microbes and Ecospheres, State Key Laboratory of Marine Environmental Science, Xiamen University , Xiamen, 361005, China
                Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences , Qingdao, 266101, China
                Shandong Energy Institute , Qingdao, Shandong, 266101, China
                Qingdao New Energy Shandong Laboratory , Qingdao, 266101, China
                University of Chinese Academy of Sciences , Beijing, 100049, China
                Author notes
                Corresponding author: Yongyu Zhang, Qingdao Institute of Bioenergy and Bioprocess Technology, Chinese Academy of Sciences, Shandong Energy Institute, Qingdao New Energy Shandong Laboratory, No. 189 Songling Road, Laoshan District, Qingdao, Shandong, 266101, China. Email: zhangyy@ 123456qibebt.ac.cn

                Jiulong Zhao and Shailesh Nair contributed equally to this work.

                Article
                wrae083
                10.1093/ismejo/wrae083
                11126160
                38709876
                132ec70c-9abe-48e7-8acb-7f466ef95d0a
                © 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
                : 01 January 2024
                : 23 March 2024
                : 02 May 2024
                : 23 May 2024
                Page count
                Pages: 15
                Funding
                Funded by: Natural Science Foundation of China, DOI 10.13039/501100001809;
                Award ID: U1906216
                Award ID: 42188102
                Award ID: 42206124
                Award ID: 42350410437
                Funded by: Postdoctoral Fellowship Program of CPSF;
                Award ID: GZC20232809
                Funded by: Shandong Province Postdoctoral Fund Project;
                Award ID: SDBX2022030
                Funded by: Ministry of Science and Technology Foreign Youth Expert Talent Project;
                Award ID: QN2022025001L
                Funded by: Qingdao Postdoctoral Fund Project;
                Award ID: QDBSH20240102185
                Funded by: Ocean Negative Carbon Emissions (ONCE) Program;
                Categories
                Original Article
                AcademicSubjects/SCI00010
                AcademicSubjects/SCI00960
                AcademicSubjects/SCI01150
                AcademicSubjects/SCI02281

                Microbiology & Virology
                kelp virosphere,endophytic/epiphytic virus,virus–prokaryote pairings,sediment virus,auxiliary metabolic gene

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