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      Denitrifying halophilic archaea derived from salt dominate the degradation of nitrite in salted radish during pickling

      , , , , , , , ,
      Food Research International
      Elsevier BV

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          Abstract

          Salted radish is a popular high-salinity table food in China, and nitrite is always generated during the associated pickling process. However, this nitrite can be naturally degraded, and the underlying mechanism is unknown. Here, we identified the microbial groups that dominate the natural degradation of nitrite in salted radish and clarified the related metabolic mechanism. Based on dynamic monitoring of pH and the concentrations of nitrogen compounds as well as high-throughput sequencing analysis of the structural succession of microbial communities in the tested salted radish, we determined that the halophilic archaea derived from pickling salt dominate the natural degradation of nitrite via denitrification. Based on isolation, identification, nitrite reduction assays, and genome annotation, we further determined that Haloarcula, Halolamina, and Halobacterium were the key genera. These halophilic archaea might cope with high salt stress through the "salt-in" mechanism with the assistance of the accumulation of potassium ions, obtain electrons necessary for "truncated denitrification" from the metabolism of extracellular glucose absorbed from salted radish, and efficiently reduce nitrite to nitrogen, bypassing nitrite generation from nitrate reduction. The present study provides important information for the prevention and control of nitrite hazards in salted vegetables with high salinity, such as salted radish.

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          Most cited references52

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          Is Open Access

          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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            QIIME allows analysis of high-throughput community sequencing data.

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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.

                Author and article information

                Journal
                Food Research International
                Food Research International
                Elsevier BV
                09639969
                February 2022
                February 2022
                : 152
                : 110906
                Article
                10.1016/j.foodres.2021.110906
                35181078
                0e3f8d20-74f7-4411-b557-d5ec5cda052e
                © 2022

                https://www.elsevier.com/tdm/userlicense/1.0/

                https://doi.org/10.15223/policy-017

                https://doi.org/10.15223/policy-037

                https://doi.org/10.15223/policy-012

                https://doi.org/10.15223/policy-029

                https://doi.org/10.15223/policy-004

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