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      The Molecular Mechanism of Yellow Mushroom ( Floccularia luteovirens) Response to Strong Ultraviolet Radiation on the Qinghai-Tibet Plateau

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          Abstract

          The Qinghai-Tibet Plateau (QTP) is the highest plateau in the world, and its ultraviolet (UV) radiation is much greater than that of other regions in the world. Yellow mushroom ( Floccularia luteovirens) is a unique and widely distributed edible fungus on the QTP. However, the molecular mechanism of F. luteovirens’s response to strong UV radiation remains unclear. Herein, we reported the 205 environmental adaptation and information processing genes from genome of F. luteovirens. In addition, we assembled the RNA sequence of UV-affected F. luteovirens at different growth stages. The results showed that in response to strong UV radiation, a total of 11,871 significantly different genes were identified, of which 4,444 genes in the vegetative mycelium (VM) stage were significantly different from the young fruiting bodies (YFB) stage, and only 2,431 genes in the YFB stage were significantly different from fruiting bodies (FB) stage. A total of 225 differentially expressed genes (DEGs) were found to be involved in environmental signal transduction, biochemical reaction preparation and stress response pathway, pigment metabolism pathway, and growth cycle regulation, so as to sense UV radiation, promote repair damage, regulate intracellular homeostasis, and reduce oxidative damage of UV radiation. On the basis of these results, a molecular regulation model was proposed for the response of F. luteovirens to strong UV radiation. These results revealed the molecular mechanism of adaptation of F. luteovirens adapting to strong UV radiation, and provided novel insights into mechanisms of fungi adapting to extreme environmental conditions on the QTP; the production the riboflavin pigment of the endemic fungi (Yellow mushroom) in the QTP was one of the response to extreme environment of the strong UV radiation.

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          Most cited references50

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          We have mapped and quantified mouse transcriptomes by deeply sequencing them and recording how frequently each gene is represented in the sequence sample (RNA-Seq). This provides a digital measure of the presence and prevalence of transcripts from known and previously unknown genes. We report reference measurements composed of 41-52 million mapped 25-base-pair reads for poly(A)-selected RNA from adult mouse brain, liver and skeletal muscle tissues. We used RNA standards to quantify transcript prevalence and to test the linear range of transcript detection, which spanned five orders of magnitude. Although >90% of uniquely mapped reads fell within known exons, the remaining data suggest new and revised gene models, including changed or additional promoters, exons and 3' untranscribed regions, as well as new candidate microRNA precursors. RNA splice events, which are not readily measured by standard gene expression microarray or serial analysis of gene expression methods, were detected directly by mapping splice-crossing sequence reads. We observed 1.45 x 10(5) distinct splices, and alternative splices were prominent, with 3,500 different genes expressing one or more alternate internal splices.
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            WD40 Repeat Proteins: Signalling Scaffold with Diverse Functions

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              Exploring fungal biodiversity for the production of water-soluble pigments as potential natural food colorants.

              The production of many currently authorized natural food colorants has a number of disadvantages, including a dependence on the supply of raw materials and variations in pigment extraction. Fungi provide a readily available alternative source of naturally derived food colorants that could easily be produced in high yields. The recent authorization of a fungal food colorant has fuelled research to explore the extraordinary chemical diversity and biodiversity of fungi for the biotechnological production of pigments as natural food colorants. These studies require an appropriate use of chemotaxonomic tools and a priori knowledge of fungal metabolites to carry out intelligent screening for known or novel colorants as lead compounds. Such screening would result in the preselection of some potential pigment producers and the deselection of pathogenic strains and toxin producers. With advances in gene technology, in the future it should be possible to employ metabolic engineering to create microbial cell factories for the production of food colorants.
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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
                20 June 2022
                2022
                : 13
                : 918491
                Affiliations
                [1] 1College of Ecological and Environment Engineering, Qinghai University , Xining, China
                [2] 2State Key Laboratory Breeding Base for Innovation and Utilization of Plateau Crop Germplasm, Qinghai University , Xining, China
                [3] 3State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences , Wuhan, China
                [4] 4Qinghai Provincial Key Laboratory of Geology and Environment of Salt Lakes, Qinghai Institute of Salt Lakes, Chinese Academy of Sciences , Xining, China
                [5] 5Academy of Agriculture and Forestry Sciences, Qinghai University , Xining, China
                [6] 6Key Laboratory of Adaptation and Evolution of Plateau Biota, Northwest Institute of Plateau Biology, Chinese Academy of Sciences , Xining, China
                [7] 7Bureau of Forestry and Grassland , Delingha, China
                [8] 8Test Station for Grassland Improvement , Xining, China
                Author notes

                Edited by: Xian-Wen Yang, Ministry of Natural Resources, China

                Reviewed by: Li Taotao, South China Botanical Garden (CAS), China; Yuan Sui, Chongqing University of Arts and Sciences, China

                *Correspondence: Zhanling Xie, xiezhanling2012@ 123456126.com

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

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

                Article
                10.3389/fmicb.2022.918491
                9251379
                dc513842-4356-4b01-a80b-87a7e378a542
                Copyright © 2022 Guo, Xie, Jiang, Xu, Liu, Meng, Peng, Tang and Duan.

                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
                : 12 April 2022
                : 17 May 2022
                Page count
                Figures: 7, Tables: 3, Equations: 0, References: 50, Pages: 11, Words: 7460
                Funding
                Funded by: Natural Science Foundation of Qinghai , doi 10.13039/501100012579;
                Categories
                Microbiology
                Original Research

                Microbiology & Virology
                floccularia luteovirens,strong uv radiation,molecular regulation model,riboflavin,chlorophyll,qinghai-tibet plateau

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