8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Novel Chloroflexi genomes from the deepest ocean reveal metabolic strategies for the adaptation to deep-sea habitats

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          The deep sea harbors the majority of the microbial biomass in the ocean and is a key site for organic matter (OM) remineralization and storage in the biosphere. Microbial metabolism in the deep ocean is greatly controlled by the generally depleted but periodically fluctuating supply of OM. Currently, little is known about metabolic potentials of dominant deep-sea microbes to cope with the variable OM inputs, especially for those living in the hadal trenches—the deepest part of the ocean.

          Results

          In this study, we report the first extensive examination of the metabolic potentials of hadal sediment Chloroflexi, a dominant phylum in hadal trenches and the global deep ocean. In total, 62 metagenome-assembled-genomes (MAGs) were reconstructed from nine metagenomic datasets derived from sediments of the Mariana Trench. These MAGs represent six novel species, four novel genera, one novel family, and one novel order within the classes Anaerolineae and Dehalococcoidia. Fragment recruitment showed that these MAGs are globally distributed in deep-sea waters and surface sediments, and transcriptomic analysis indicated their in situ activities. Metabolic reconstruction showed that hadal Chloroflexi mainly had a heterotrophic lifestyle, with the potential to degrade a wide range of organic carbon, sulfur, and halogenated compounds. Our results revealed for the first time that hadal Chloroflexi harbor pathways for the complete hydrolytic or oxidative degradation of various recalcitrant OM, including aromatic compounds (e.g., benzoate), polyaromatic hydrocarbons (e.g., fluorene), polychlorobiphenyl (e.g., 4-chlorobiphenyl), and organochlorine compounds (e.g., chloroalkanes, chlorocyclohexane). Moreover, these organisms showed the potential to synthesize energy storage compounds (e.g., trehalose) and had regulatory modules to respond to changes in nutrient conditions. These metabolic traits suggest that Chloroflexi may follow a “feast-or-famine” metabolic strategy, i.e., preferentially consume labile OM and store the energy intracellularly under OM-rich conditions, and utilize the stored energy or degrade recalcitrant OM for survival under OM-limited condition.

          Conclusion

          This study expands the current knowledge on metabolic strategies in deep-ocean Chlorolfexi and highlights their significance in deep-sea carbon, sulfur, and halogen cycles. The metabolic plasticity likely provides Chloroflexi with advantages for survival under variable and heterogenic OM inputs in the deep ocean.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40168-022-01263-6.

          Related collections

          Most cited references86

          • Record: found
          • Abstract: found
          • Article: found
          Is Open Access

          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.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            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.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

              We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
                Bookmark

                Author and article information

                Contributors
                rlliu@shou.edu.cn
                jsfang@shou.edu.cn
                Journal
                Microbiome
                Microbiome
                Microbiome
                BioMed Central (London )
                2049-2618
                10 May 2022
                10 May 2022
                2022
                : 10
                : 75
                Affiliations
                [1 ]GRID grid.412514.7, ISNI 0000 0000 9833 2433, Shanghai Engineering Research Center of Hadal Science and Technology, College of Marine Sciences, , Shanghai Ocean University, ; Shanghai, China
                [2 ]GRID grid.412514.7, ISNI 0000 0000 9833 2433, National Engineering Research Center for Oceanic Fisheries, , Shanghai Ocean University, ; Shanghai, China
                [3 ]GRID grid.1005.4, ISNI 0000 0004 4902 0432, Centre for Marine Science & Innovation and School of Biological Earth and Environmental Science, , University of New South Wales, ; Kensington, Australia
                [4 ]GRID grid.21155.32, ISNI 0000 0001 2034 1839, BGI-Shenzhen, ; Shenzhen, Guangdong China
                [5 ]Tidal Flat Research Center of Jiangsu Province, Nanjing, Jiangsu China
                [6 ]GRID grid.484590.4, ISNI 0000 0004 5998 3072, Laboratory for Marine Biology and Biotechnology, , Qingdao National Laboratory for Marine Science and Technology, ; Qingdao, China
                [7 ]GRID grid.256872.c, ISNI 0000 0000 8741 0387, Department of Natural Sciences, , Hawaii Pacific University, ; Honolulu, HI USA
                Author information
                http://orcid.org/0000-0001-5198-0422
                Article
                1263
                10.1186/s40168-022-01263-6
                9088039
                35538590
                34716b49-3693-4ccc-8dc3-10cfb4578cb1
                © The Author(s) 2022

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 25 June 2021
                : 24 March 2022
                Funding
                Funded by: national key r&d program of china
                Award ID: 2018YFC0310600
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, national natural science foundation of china;
                Award ID: 91951210, 41773069
                Award ID: 41906134
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100007219, natural science foundation of shanghai;
                Award ID: 20ZR1423700
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100004378, shell;
                Award ID: ANP 21005-4
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                chloroflexi,metagenome-assembled-genomes,metabolic potential,persistent organic pollutant,pah,pcb,dehalogenation,feast-or-famine,deep ocean,hadal trenches

                Comments

                Comment on this article