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      Adaptation to Aquatic and Terrestrial Environments in Chlorella vulgaris (Chlorophyta)

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          Abstract

          The globally distributed green microalga Chlorella vulgaris (Chlorophyta) colonizes aquatic and terrestrial habitats, but the molecular mechanisms underpinning survival in these two contrasting environments are far from understood. Here, we compared the authentic strain of C. vulgaris from an aquatic habitat with a strain from a terrestrial high alpine habitat previously determined as Chlorella mirabilis. Molecular phylogeny of SSU rDNA (823 bp) showed that the two strains differed by one nucleotide only. Sequencing of the ITS2 region confirmed that both strains belong to the same species, but to distinct ribotypes. Therefore, the terrestrial strain was re-assessed as C. vulgaris. To study the response to environmental conditions experienced on land, we assessed the effects of irradiance and temperature on growth, of temperature on photosynthesis and respiration, and of desiccation and rehydration on photosynthetic performance. In contrast to the aquatic strain, the terrestrial strain tolerated higher temperatures and light conditions, had a higher photosynthesis-to-respiration ratio at 25°C, still grew at 30°C and was able to fully recover photosynthetic performance after desiccation at 84% relative humidity. The two strains differed most in their response to the dehydration/rehydration treatment, which was further investigated by untargeted GC–MS-based metabolite profiling to gain insights into metabolic traits differentiating the two strains. The two strains differed in their allocation of carbon and nitrogen into their primary metabolites. Overall, the terrestrial strain had higher contents of readily available nitrogen-based metabolites, especially amino acids and the polyamine putrescine. Dehydration and rehydration led to differential regulation of the amino acid metabolism, the tricarboxylic acid cycle and sucrose metabolism. The data are discussed with a view to differences in phenotypic plasticity of the two strains, and we suggest that the two genetically almost identical C. vulgaris strains are attractive models to study mechanisms that protect from abiotic stress factors, which are more frequent in terrestrial than aquatic habitats, such as desiccation and irradiation.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

            We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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              MrBayes 3: Bayesian phylogenetic inference under mixed models.

              MrBayes 3 performs Bayesian phylogenetic analysis combining information from different data partitions or subsets evolving under different stochastic evolutionary models. This allows the user to analyze heterogeneous data sets consisting of different data types-e.g. morphological, nucleotide, and protein-and to explore a wide variety of structured models mixing partition-unique and shared parameters. The program employs MPI to parallelize Metropolis coupling on Macintosh or UNIX clusters.
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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
                15 October 2020
                2020
                : 11
                : 585836
                Affiliations
                [1] 1Department of Botany, University of Innsbruck , Innsbruck, Austria
                [2] 2Institute of Biological Sciences, University of Rostock , Rostock, Germany
                Author notes

                Edited by: Weiwen Zhang, Tianjin University, China

                Reviewed by: Quanyu Zhao, Nanjing Tech University, China; Jiangxin Wang, Shenzhen University, China; Dieter Hanelt, University of Hamburg, Germany

                *Correspondence: Ulf Karsten, ulf.karsten@ 123456uni-rostock.de

                This article was submitted to Microbial Physiology and Metabolism, a section of the journal Frontiers in Microbiology

                Article
                10.3389/fmicb.2020.585836
                7593248
                33178169
                7aec8d1a-378a-463e-b98c-51daf52bd943
                Copyright © 2020 Aigner, Glaser, Arc, Holzinger, Schletter, Karsten and Kranner.

                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
                : 21 July 2020
                : 14 September 2020
                Page count
                Figures: 6, Tables: 0, Equations: 1, References: 78, Pages: 14, Words: 0
                Funding
                Funded by: Tiroler Wissenschaftsförderung 10.13039/501100009968
                Funded by: Austrian Science Fund 10.13039/501100002428
                Funded by: Deutsche Forschungsgemeinschaft 10.13039/501100001659
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                adaptation,green algae,dehydration,desiccation,metabolomics,metabolite,microalgae
                Microbiology & Virology
                adaptation, green algae, dehydration, desiccation, metabolomics, metabolite, microalgae

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