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      Effect of salinity on scytonemin yield in endolithic cyanobacteria from the Atacama Desert

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          Abstract

          Cyanobacteria inhabiting extreme environments constitute a promising source for natural products with biotechnological applications. However, they have not been studied in-depth for this purpose due to the difficulties in their isolation and mass culturing. The Atacama Desert suffers one of the highest solar irradiances that limits the presence of life on its hyperarid core to endolithic microbial communities supported by cyanobacteria as primary producers. Some of these cyanobacteria are known to produce scytonemin, a UV-screening liposoluble pigment with varied biotechnological applications in cosmetics and other industries. In this work we carried out a strain selection based on growth performance among 8 endolithic cyanobacteria of the genera Chroococcidiopsis, Gloeocapsa and Gloeocapsopsis isolated from non-saline rocks of the Atacama Desert. Then we investigated the influence of NaCl exposure on scytonemin production yield. Results in the selected strain ( Chroococcidiopsis sp. UAM571) showed that rising concentrations of NaCl lead to a growth decrease while triggering a remarkable increase in the scytonemin content, reaching maximum values at 20 g L −1 of NaCl over 50-fold higher scytonemin contents than those obtained without NaCl. Altogether, these findings point out to cyanobacteria from the Atacama Desert as potentially suitable candidates for pilot-scale cultivation with biotechnological purposes, particularly to obtain scytonemin.

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          MEGA11: Molecular Evolutionary Genetics Analysis Version 11

          The Molecular Evolutionary Genetics Analysis (MEGA) software has matured to contain a large collection of methods and tools of computational molecular evolution. Here, we describe new additions that make MEGA a more comprehensive tool for building timetrees of species, pathogens, and gene families using rapid relaxed-clock methods. Methods for estimating divergence times and confidence intervals are implemented to use probability densities for calibration constraints for node-dating and sequence sampling dates for tip-dating analyses. They are supported by new options for tagging sequences with spatiotemporal sampling information, an expanded interactive Node Calibrations Editor , and an extended Tree Explorer to display timetrees. Also added is a Bayesian method for estimating neutral evolutionary probabilities of alleles in a species using multispecies sequence alignments and a machine learning method to test for the autocorrelation of evolutionary rates in phylogenies. The computer memory requirements for the maximum likelihood analysis are reduced significantly through reprogramming, and the graphical user interface has been made more responsive and interactive for very big data sets. These enhancements will improve the user experience, quality of results, and the pace of biological discovery. Natively compiled graphical user interface and command-line versions of MEGA11 are available for Microsoft Windows, Linux, and macOS from www.megasoftware.net .
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            Colorimetric Method for Determination of Sugars and Related Substances

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              CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice.

              The sensitivity of the commonly used progressive multiple sequence alignment method has been greatly improved for the alignment of divergent protein sequences. Firstly, individual weights are assigned to each sequence in a partial alignment in order to down-weight near-duplicate sequences and up-weight the most divergent ones. Secondly, amino acid substitution matrices are varied at different alignment stages according to the divergence of the sequences to be aligned. Thirdly, residue-specific gap penalties and locally reduced gap penalties in hydrophilic regions encourage new gaps in potential loop regions rather than regular secondary structure. Fourthly, positions in early alignments where gaps have been opened receive locally reduced gap penalties to encourage the opening up of new gaps at these positions. These modifications are incorporated into a new program, CLUSTAL W which is freely available.
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                Author and article information

                Contributors
                samuel.cires@uam.es
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                28 April 2024
                28 April 2024
                2024
                : 14
                : 9731
                Affiliations
                [1 ]Departamento de Biología, Universidad Autónoma de Madrid, ( https://ror.org/01cby8j38) 28014 Madrid, Spain
                [2 ]Microalgae Solutions S.L., Calle Dehesa vieja, 8, N5, 28052 Madrid, Spain
                Article
                60499
                10.1038/s41598-024-60499-4
                11056366
                38679613
                ed8544d6-0f61-44ee-bbe6-3361c6d05dca
                © 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
                : 26 January 2024
                : 23 April 2024
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100012818, Comunidad de Madrid;
                Award ID: LIPEPSTREM project (SI3/PJI/2021-00461)
                Award ID: 49/067123.9/20
                Award Recipient :
                Funded by: Universidad Autonoma de Madrid
                Award ID: LIPEPSTREM project (SI3/PJI/2021-00461)
                Funded by: FundRef http://dx.doi.org/10.13039/501100004837, Ministerio de Ciencia e Innovación;
                Award ID: Juan de la Cierva-Formación postdoctoral grant (FJC2020-044126-I )
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100011033, Agencia Estatal de Investigación;
                Award ID: Juan de la Cierva-Formación postdoctoral grant FJC2020-044126-I
                Award Recipient :
                Funded by: European Union NextGenerationEU/PRTR
                Award ID: Juan de la Cierva-Formación postdoctoral grant (FJC2020-044126-I )
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100008530, European Regional Development Fund;
                Award ID: 49/067123.9/20
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                applied microbiology,biotechnology,microbial ecology
                Uncategorized
                applied microbiology, biotechnology, microbial ecology

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