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      Metagenomic analysis of the microbial communities and associated network of nitrogen metabolism genes in the Ryukyu limestone aquifer

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          Abstract

          While microbial biogeochemical activities such as those involving denitrification and sulfate reduction have been considered to play important roles in material cycling in various aquatic ecosystems, our current understanding of the microbial community in groundwater ecosystems is remarkably insufficient. To assess the groundwater in the Ryukyu limestone aquifer of Okinawa Island, which is located in the southernmost region of Japan, we performed metagenomic analysis on the microbial communities at the three sites and screened for functional genes associated with nitrogen metabolism. 16S rRNA amplicon analysis showed that bacteria accounted for 94–98% of the microbial communities, which included archaea at all three sites. The bacterial communities associated with nitrogen metabolism shifted by month at each site, indicating that this metabolism was accomplished by the bacterial community as a whole. Interestingly, site 3 contained much higher levels of the denitrification genes such as narG and napA than the other two sites. This site was thought to have undergone denitrification that was driven by high quantities of dissolved organic carbon (DOC). In contrast, site 2 was characterized by a high nitrate-nitrogen (NO 3-N) content and a low amount of DOC, and this site yielded a moderate amount of denitrification genes. Site 1 showed markedly low amounts of all nitrogen metabolism genes. Overall, nitrogen metabolism in the Ryukyu limestone aquifer was found to change based on environmental factors.

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          The SILVA ribosomal RNA gene database project: improved data processing and web-based tools

          SILVA (from Latin silva, forest, http://www.arb-silva.de) is a comprehensive web resource for up to date, quality-controlled databases of aligned ribosomal RNA (rRNA) gene sequences from the Bacteria, Archaea and Eukaryota domains and supplementary online services. The referred database release 111 (July 2012) contains 3 194 778 small subunit and 288 717 large subunit rRNA gene sequences. Since the initial description of the project, substantial new features have been introduced, including advanced quality control procedures, an improved rRNA gene aligner, online tools for probe and primer evaluation and optimized browsing, searching and downloading on the website. Furthermore, the extensively curated SILVA taxonomy and the new non-redundant SILVA datasets provide an ideal reference for high-throughput classification of data from next-generation sequencing approaches.
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            fastp: an ultra-fast all-in-one FASTQ preprocessor

            Abstract Motivation Quality control and preprocessing of FASTQ files are essential to providing clean data for downstream analysis. Traditionally, a different tool is used for each operation, such as quality control, adapter trimming and quality filtering. These tools are often insufficiently fast as most are developed using high-level programming languages (e.g. Python and Java) and provide limited multi-threading support. Reading and loading data multiple times also renders preprocessing slow and I/O inefficient. Results We developed fastp as an ultra-fast FASTQ preprocessor with useful quality control and data-filtering features. It can perform quality control, adapter trimming, quality filtering, per-read quality pruning and many other operations with a single scan of the FASTQ data. This tool is developed in C++ and has multi-threading support. Based on our evaluation, fastp is 2–5 times faster than other FASTQ preprocessing tools such as Trimmomatic or Cutadapt despite performing far more operations than similar tools. Availability and implementation The open-source code and corresponding instructions are available at https://github.com/OpenGene/fastp.
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              FLASH: fast length adjustment of short reads to improve genome assemblies.

              Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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                Author and article information

                Contributors
                yasumoto@agr.u-ryukyu.ac.jp
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                22 February 2024
                22 February 2024
                2024
                : 14
                : 4356
                Affiliations
                [1 ]Kitasato University School of Marine Biosciences, ( https://ror.org/00f2txz25) 1-15-1 Kitasato, Minami, Sagamihara, Kanagawa 252-0373 Japan
                [2 ]National Institute of Advanced Industrial Science and Technology (AIST), ( https://ror.org/01703db54) Tsukuba Central 7, 1-1-1 Higashi, Tsukuba, Ibaraki 305-8567 Japan
                [3 ]Tropical Technology Plus, 12-75 Suzaki, Uruma, Okinawa 904-2234 Japan
                [4 ]Department of Earth and Environmental Science, Graduate School of Science and Technology, Kumamoto University, ( https://ror.org/02cgss904) 2-39-1, Kurokami, Chuo-ku, Kumamoto 860-8555 Japan
                [5 ]Faculty of Advanced Science and Technology, Kumamoto University, ( https://ror.org/02cgss904) 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555 Japan
                [6 ]International Research Organization for Advanced Science and Technology, Kumamoto University, ( https://ror.org/02cgss904) 2-39-1 Kurokami, Chuo-ku, Kumamoto 860-8555 Japan
                [7 ]Center for Strategic Research Project, University of the Ryukyus, ( https://ror.org/02z1n9q24) Nishihara, Senbaru, Okinawa 903-0213 Japan
                [8 ]Department of Physics and Earth Sciences, University of the Ryukyus, ( https://ror.org/02z1n9q24) 1 Senbaru, Nishihara, Okinawa 903–0213 Japan
                [9 ]Research Institute for Humanity and Nature, ( https://ror.org/05kkfq345) 457-4 Motoyama, Kamigamo, Kita-ku, Kyoto 603-8047 Japan
                [10 ]Faculty of Agriculture, University of the Ryukyus, ( https://ror.org/02z1n9q24) 1 Senbaru, Nishihara, Nakagami, Okinawa 903-0213 Japan
                Article
                54614
                10.1038/s41598-024-54614-8
                10883930
                38388732
                a63f6085-12f1-4948-a953-cd8146f0a9c9
                © The Author(s) 2024

                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
                : 17 February 2023
                : 14 February 2024
                Funding
                Funded by: Grants-in-Aid from the Japan Society for the Promotion of Science
                Award ID: 20H03077
                Award ID: 19K12310
                Award Recipient :
                Funded by: Environment Research and Technology Development Fund
                Award ID: JPMEERF20194007
                Award Recipient :
                Funded by: the Research Laboratory on Environmentally Conscious Developments and Technologies
                Funded by: FundRef http://dx.doi.org/10.13039/501100010681, Research Institute for Humanity and Nature;
                Award ID: RIHN14200145
                Award Recipient :
                Funded by: Solution-Driven Co-creative R&D Program for SDGs Program
                Award ID: JPMJRX19IA
                Award Recipient :
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                © Springer Nature Limited 2024

                Uncategorized
                microbiology,environmental sciences
                Uncategorized
                microbiology, environmental sciences

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