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      Isolation, identification, and biochemical characterization of a novel bifunctional phosphomannomutase/phosphoglucomutase from the metagenome of the brown alga Laminaria digitata

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          Abstract

          Macroalgae host diverse epiphytic bacterial communities with potential symbiotic roles including important roles influencing morphogenesis and growth of the host, nutrient exchange, and protection of the host from pathogens. Macroalgal cell wall structures, exudates, and intra-cellular environments possess numerous complex and valuable carbohydrates such as cellulose, hemi-cellulose, mannans, alginates, fucoidans, and laminarin. Bacterial colonizers of macroalgae are important carbon cyclers, acquiring nutrition from living macroalgae and also from decaying macroalgae. Seaweed epiphytic communities are a rich source of diverse carbohydrate-active enzymes which may have useful applications in industrial bioprocessing. With this in mind, we constructed a large insert fosmid clone library from the metagenome of Laminaria digitata (Ochrophyta) in which decay was induced. Subsequent sequencing of a fosmid clone insert revealed the presence of a gene encoding a bifunctional phosphomannomutase/phosphoglucomutase (PMM/PGM) enzyme 10L6AlgC, closely related to a protein from the halophilic marine bacterium, Cobetia sp. 10L6AlgC was subsequently heterologously expressed in Escherichia coli and biochemically characterized. The enzyme was found to possess both PMM and PGM activity, which had temperature and pH optima of 45°C and 8.0, respectively; for both activities. The PMM activity had a K m of 2.229 mM and V max of 29.35 mM min −1 mg −1, while the PGM activity had a K m of 0.5314 mM and a V max of 644.7 mM min −1 mg −1. Overall characterization of the enzyme including the above parameters as well as the influence of various divalent cations on these activities revealed that 10L6AlgC has a unique biochemical profile when compared to previously characterized PMM/PGM bifunctional enzymes. Thus 10L6AlgC may find utility in enzyme-based production of biochemicals with different potential industrial applications, in which other bacterial PMM/PGMs have previously been used such as in the production of low-calorie sweeteners in the food industry.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            MUSCLE: multiple sequence alignment with high accuracy and high throughput.

            We describe MUSCLE, a new computer program for creating multiple alignments of protein sequences. Elements of the algorithm include fast distance estimation using kmer counting, progressive alignment using a new profile function we call the log-expectation score, and refinement using tree-dependent restricted partitioning. The speed and accuracy of MUSCLE are compared with T-Coffee, MAFFT and CLUSTALW on four test sets of reference alignments: BAliBASE, SABmark, SMART and a new benchmark, PREFAB. MUSCLE achieves the highest, or joint highest, rank in accuracy on each of these sets. Without refinement, MUSCLE achieves average accuracy statistically indistinguishable from T-Coffee and MAFFT, and is the fastest of the tested methods for large numbers of sequences, aligning 5000 sequences of average length 350 in 7 min on a current desktop computer. The MUSCLE program, source code and PREFAB test data are freely available at http://www.drive5. com/muscle.
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              Prokka: rapid prokaryotic genome annotation.

              T Seemann (2014)
              The multiplex capability and high yield of current day DNA-sequencing instruments has made bacterial whole genome sequencing a routine affair. The subsequent de novo assembly of reads into contigs has been well addressed. The final step of annotating all relevant genomic features on those contigs can be achieved slowly using existing web- and email-based systems, but these are not applicable for sensitive data or integrating into computational pipelines. Here we introduce Prokka, a command line software tool to fully annotate a draft bacterial genome in about 10 min on a typical desktop computer. It produces standards-compliant output files for further analysis or viewing in genome browsers. Prokka is implemented in Perl and is freely available under an open source GPLv2 license from http://vicbioinformatics.com/. © The Author 2014. Published by Oxford University Press. All rights reserved. For Permissions, please e-mail: journals.permissions@oup.com.
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                Author and article information

                Contributors
                Journal
                Front Microbiol
                Front Microbiol
                Front. Microbiol.
                Frontiers in Microbiology
                Frontiers Media S.A.
                1664-302X
                23 September 2022
                2022
                : 13
                : 1000634
                Affiliations
                [1] 1School of Microbiology, University College Cork , Cork, Ireland
                [2] 2Environmental Research Institute, University College Cork , Cork, Ireland
                [3] 3Key Laboratory of Sustainable Development of Marine Fisheries, Ministry of Agriculture and Rural Affairs, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences , Qingdao, China
                [4] 4Botany and Plant Science, School of Natural Sciences, Ryan Institute for Environmental, Marine and Energy Research, University of Galway , Galway, Ireland
                [5] 5CAS and Shandong Province Key Laboratory of Experimental Marine Biology, Center for Ocean Mega-Science, Institute of Oceanology, Chinese Academy of Sciences , Qingdao, China
                [6] 6Laboratory for Marine Biology and Biotechnology, Pilot National Laboratory for Marine Science and Technology , Qingdao, China
                Author notes

                Edited by: Kian Mau Goh, University of Technology Malaysia, Malaysia

                Reviewed by: Xu Jun-Wei, Kunming University of Science and Technology, China; Mohamed Habib, Cairo University, Egypt

                *Correspondence: Delin Duan, dlduan@ 123456qdio.ac.cn
                Alan D. W. Dobson, a.dobson@ 123456ucc.ie

                These authors have contributed equally to this work

                This article was submitted to Microbiotechnology, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2022.1000634
                9537760
                3e5765a3-92eb-4bb9-9db2-8230afaf9975
                Copyright © 2022 Jackson, Duan, Zhang, Ihua, Stengel, Duan and Dobson.

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 22 July 2022
                : 15 August 2022
                Page count
                Figures: 8, Tables: 0, Equations: 0, References: 93, Pages: 15, Words: 10534
                Funding
                Funded by: Qingdao International Innovation Cooperation Project for Science and Technology
                Award ID: 22-3-6-ghgg-1-hz
                Funded by: National Nature Science Foundation of China
                Award ID: 42006101
                Funded by: Marine Biotechnology ERA/NET, NEPTUNA project
                Award ID: PBA/MB/15/02
                Funded by: Irish Department of Agriculture, Food and the Marine (DAFM) SMI-BIO project
                Funded by: BlueBioCOFUND project MINERVA
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                macroalga,phosphoglucomutase,phosphomannomutase,metagenomics,laminaria digitata

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