Inviting an author to review:
Find an author and click ‘Invite to review selected article’ near their name.
Search for authorsSearch for similar articles
6
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Assessment of the plasmidome of an extremophilic microbial community from the Diamante Lake, Argentina

      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

          Diamante Lake located at 4589 m.a.s.l. in the Andean Puna constitutes an extreme environment. It is exposed to multiple extreme conditions such as an unusually high concentration of arsenic (over 300 mg L −1) and low oxygen pressure. Microorganisms thriving in the lake display specific genotypes that facilitate survival, which include at least a multitude of plasmid-encoded resistance traits. Hence, the genetic information provided by the plasmids essentially contributes to understand adaptation to different stressors. Though plasmids from cultivable organisms have already been analyzed to the sequence level, the impact of the entire plasmid-borne genetic information on such microbial ecosystem is not known. This study aims at assessing the plasmidome from Diamante Lake, which facilitates the identification of potential hosts and prediction of gene functions as well as the ecological impact of mobile genetic elements. The deep-sequencing analysis revealed a large fraction of previously unknown DNA sequences of which the majority encoded putative proteins of unknown function. Remarkably, functions related to the oxidative stress response, DNA repair, as well as arsenic- and antibiotic resistances were annotated. Additionally, all necessary capacities related to plasmid replication, mobilization and maintenance were detected. Sequences characteristic for megaplasmids and other already known plasmid-associated genes were identified as well. The study highlights the potential of the deep-sequencing approach specifically targeting plasmid populations as it allows to evaluate the ecological impact of plasmids from (cultivable and non-cultivable) microorganisms, thereby contributing to the understanding of the distribution of resistance factors within an extremophilic microbial community.

          Related collections

          Most cited references90

          • 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: not found
              • Article: not found

              Cutadapt removes adapter sequences from high-throughput sequencing reads

                Bookmark

                Author and article information

                Contributors
                rdaniel@gwdg.de
                jdib@conicet.gov.ar
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                2 November 2021
                2 November 2021
                2021
                : 11
                : 21459
                Affiliations
                [1 ]GRID grid.423606.5, ISNI 0000 0001 1945 2152, Planta Piloto de Procesos Industriales Microbiológicos, , Consejo Nacional de Investigaciones Científicas y Técnicas, ; San Miguel de Tucumán, Tucumán Argentina
                [2 ]GRID grid.7450.6, ISNI 0000 0001 2364 4210, Genomic and Applied Microbiology and Göttingen Genomics Laboratory, Institute of Microbiology and Genetics, , Georg-August University of Göttingen, ; Grisebachstr. 8, 37077 Göttingen, Germany
                [3 ]GRID grid.5949.1, ISNI 0000 0001 2172 9288, Institut für Molekulare Mikrobiologie und Biotechnologie, , Westfälische Wilhelms Universität Münster, ; Münster, Germany
                [4 ]GRID grid.108162.c, ISNI 0000000121496664, Instituto de Microbiología, Facultad de Bioquímica, Química y Farmacia, , Universidad Nacional de Tucumán, ; San Miguel de Tucumán, Tucumán Argentina
                Article
                753
                10.1038/s41598-021-00753-1
                8563766
                34728656
                d9d6e805-ac76-40c3-b750-c6bd320e332a
                © The Author(s) 2021

                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 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/.

                History
                : 21 May 2021
                : 15 October 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003074, Agencia Nacional de Promoción Científica y Tecnológica;
                Award ID: PICT 2015-3825
                Award ID: 2018-2545 PRESTAMO BID
                Funded by: Georg-August-Universität Göttingen (1018)
                Categories
                Article
                Custom metadata
                © The Author(s) 2021

                Uncategorized
                microbiology,archaea,bacteria,microbial communities,environmental microbiology
                Uncategorized
                microbiology, archaea, bacteria, microbial communities, environmental microbiology

                Comments

                Comment on this article