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      Light and Temperature Shape the Phenylpropanoid Profile of Azolla filiculoides Fronds

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          Abstract

          Azolla is a genus of floating freshwater ferns. By their high growth and N 2 fixation rates, Azolla species have been exploited for centuries by populations of South-east Asia as biofertilizers in rice paddies. The use of Azolla species as a sustainable plant material for diverse applications, such as feeding, biofuel production, and bioremediation, has encountered a growing interest over the last few years. However, high levels of feed deterrent flavonoids in their fronds have discouraged the use of these ferns as a sustainable protein source for animal consumption. Additionally, information on how and to what extent environmental determinants affect the accumulation of secondary metabolites in these organisms remains poorly understood. Moving from these considerations, here, we investigated by an untargeted metabolomics approach the profiles of phenylpropanoid compounds in the fronds of Azolla filiculoides sampled under control and pigment-inducing stress conditions. In parallel, we assayed the expression of essential structural genes of the phenylpropanoid pathway by quantitative RT-PCR. This study provides novel information concerning A. filiculoides phenylpropanoid compounds and their temporal profiling in response to environmental stimuli. In particular, we show that besides the already known 3-deoxyanthocyanidins, anthocyanidins, and proanthocyanidins, this fern can accumulate additional secondary metabolites of outstanding importance, such as chemoattractants, defense compounds, and reactive oxygen species (ROS) scavengers, and crucial as dietary components for humans, such as dihydrochalcones, stilbenes, isoflavones, and phlobaphenes. The findings of this study open an opportunity for future research studies to unveil the interplay between genetic and environmental determinants underlying the elicitation of the secondary metabolites in ferns and exploit these organisms as sustainable sources of beneficial metabolites for human health.

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          A rapid DNA isolation procedure for small quantities of fresh leaf tissue.

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            MetaboAnalyst 5.0: narrowing the gap between raw spectra and functional insights

            Since its first release over a decade ago, the MetaboAnalyst web-based platform has become widely used for comprehensive metabolomics data analysis and interpretation. Here we introduce MetaboAnalyst version 5.0, aiming to narrow the gap from raw data to functional insights for global metabolomics based on high-resolution mass spectrometry (HRMS). Three modules have been developed to help achieve this goal, including: (i) a LC–MS Spectra Processing module which offers an easy-to-use pipeline that can perform automated parameter optimization and resumable analysis to significantly lower the barriers to LC-MS1 spectra processing; (ii) a Functional Analysis module which expands the previous MS Peaks to Pathways module to allow users to intuitively select any peak groups of interest and evaluate their enrichment of potential functions as defined by metabolic pathways and metabolite sets; (iii) a Functional Meta-Analysis module to combine multiple global metabolomics datasets obtained under complementary conditions or from similar studies to arrive at comprehensive functional insights. There are many other new functions including weighted joint-pathway analysis, data-driven network analysis, batch effect correction, merging technical replicates, improved compound name matching, etc. The web interface, graphics and underlying codebase have also been refactored to improve performance and user experience. At the end of an analysis session, users can now easily switch to other compatible modules for a more streamlined data analysis. MetaboAnalyst 5.0 is freely available at https://www.metaboanalyst.ca . Graphical Abstract From raw data to statistical and functional insights using MetaboAnalyst 5.0.
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              MS-DIAL: Data Independent MS/MS Deconvolution for Comprehensive Metabolome Analysis

              Data-independent acquisition (DIA) in liquid chromatography tandem mass spectrometry (LC-MS/MS) provides more comprehensive untargeted acquisition of molecular data. Here we provide an open-source software pipeline, MS-DIAL, to demonstrate how DIA improves simultaneous identification and quantification of small molecules by mass spectral deconvolution. For reversed phase LC-MS/MS, our program with an enriched LipidBlast library identified total 1,023 lipid compounds from nine algal strains to highlight their chemotaxonomic relationships.
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                Author and article information

                Contributors
                Journal
                Front Plant Sci
                Front Plant Sci
                Front. Plant Sci.
                Frontiers in Plant Science
                Frontiers Media S.A.
                1664-462X
                21 October 2021
                2021
                : 12
                : 727667
                Affiliations
                [1] 1Department of Chemistry, Biology and Biotechnology, University of Perugia , Perugia, Italy
                [2] 2Department of Agricultural, Food and Environmental Sciences, University of Perugia , Perugia, Italy
                [3] 3Institute of Bioscience and Bioresources (IBBR), National Research Council (CNR) , Perugia, Italy
                Author notes

                Edited by: Kevin Davies, The New Zealand Institute for Plant and Food Research Ltd., New Zealand

                Reviewed by: Alexander Vainstein, Hebrew University of Jerusalem, Israel; Xiaohua Li, Wuhan Polytechnic University, China; Jan de Vries, University of Göttingen, Germany

                *Correspondence: Francesco Paolocci francesco.paolocci@ 123456ibbr.cnr.it

                This article was submitted to Plant Metabolism and Chemodiversity, a section of the journal Frontiers in Plant Science

                †These authors have contributed equally to this work and share first authorship

                ‡These authors have contributed equally to this work and share last authorship

                Article
                10.3389/fpls.2021.727667
                8567065
                eaeba3ef-d2a3-4dfd-b1eb-cdcc39f3b20b
                Copyright © 2021 Costarelli, Cannavò, Cerri, Pellegrino, Reale, Paolocci and Pasqualini.

                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
                : 19 June 2021
                : 16 September 2021
                Page count
                Figures: 8, Tables: 2, Equations: 0, References: 81, Pages: 18, Words: 13266
                Categories
                Plant Science
                Original Research

                Plant science & Botany
                azolla filiculoides,cold stress,gene expression,liquid chromatography coupled with high resolution mass spectrometry (lc/hrms),metabolic profile,polyphenols

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