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      The Fungal Endophyte Epicoccum dendrobii as a Potential Biocontrol Agent Against Colletotrichum gloeosporioides

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          Abstract

          Anthracnose caused by Colletotrichum gloeosporioides is one of most serious fungal diseases on Chinese fir (Cunninghamia lanceolata). Eight fungal endophytes were isolated from a young heathy branch of Chinese fir and screened against the pathogen in vitro. One isolate, designated as SMEL1 and subsequently identified as Epicoccum dendrobii based on morphological and phylogenetic analyses, suppressed mycelial growth of Colletotrichum gloeosporioides on dual-culture plates. Additionally, E. dendrobii metabolites significantly decreased the biomass of Colletotrichum gloeosporioides. E. dendrobii was able to enter the internal tissues of the host plant via stomatal cells. Metabolites of E. dendrobii significantly inhibited conidial germination and appressorium formation, which at least partly explained why the endophyte significantly inhibited lesion development caused by Colletotrichum gloeosporioides on various host plants. We further confirmed that some components with antifungal activity could be extracted from E. dendrobii using ethyl acetate as an organic solvent. To our knowledge, this is the first report of E. dendrobii as a potential biocontrol agent against a fungal phytopathogen.

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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            Fungal endophytes: diversity and functional roles.

            All plants in natural ecosystems appear to be symbiotic with fungal endophytes. This highly diverse group of fungi can have profound impacts on plant communities through increasing fitness by conferring abiotic and biotic stress tolerance, increasing biomass and decreasing water consumption, or decreasing fitness by altering resource allocation. Despite more than 100 yr of research resulting in thousands of journal articles, the ecological significance of these fungi remains poorly characterized. Historically, two endophytic groups (clavicipitaceous (C) and nonclavicipitaceous (NC)) have been discriminated based on phylogeny and life history traits. Here, we show that NC-endophytes represent three distinct functional groups based on host colonization and transmission, in planta biodiversity and fitness benefits conferred to hosts. Using this framework, we contrast the life histories, interactions with hosts and potential roles in plant ecophysiology of C- and NC-endophytes, and highlight several key questions for future work in endophyte biology.
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              Rapid genetic identification and mapping of enzymatically amplified ribosomal DNA from several Cryptococcus species.

              Detailed restriction analyses of many samples often require substantial amounts of time and effort for DNA extraction, restriction digests, Southern blotting, and hybridization. We describe a novel approach that uses the polymerase chain reaction (PCR) for rapid simplified restriction typing and mapping of DNA from many different isolates. DNA fragments up to 2 kilobase pairs in length were efficiently amplified from crude DNA samples of several pathogenic Cryptococcus species, including C. neoformans, C. albidus, C. laurentii, and C. uniguttulatus. Digestion and electrophoresis of the PCR products by using frequent-cutting restriction enzymes produced complex restriction phenotypes (fingerprints) that were often unique for each strain or species. We used the PCR to amplify and analyze restriction pattern variation within three major portions of the ribosomal DNA (rDNA) repeats from these fungi. Detailed mapping of many restriction sites within the rDNA locus was determined by fingerprint analysis of progressively larger PCR fragments sharing a common primer site at one end. As judged by PCR fingerprints, the rDNA of 19 C. neoformans isolates showed no variation for four restriction enzymes that we surveyed. Other Cryptococcus spp. showed varying levels of restriction pattern variation within their rDNAs and were shown to be genetically distinct from C. neoformans. The PCR primers used in this study have also been successfully applied for amplification of rDNAs from other pathogenic and nonpathogenic fungi, including Candida spp., and ought to have wide applicability for clinical detection and other studies.
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                Author and article information

                Contributors
                Journal
                Phytopathology®
                Phytopathology®
                Scientific Societies
                0031-949X
                1943-7684
                February 2021
                February 2021
                : 111
                : 2
                : 293-303
                Affiliations
                [1 ]Co-Innovation Center for Sustainable Forestry in Southern China, Nanjing Forestry University, Nanjing, Jiangsu 210037, China
                [2 ]SUST Think Tank for Urban Development, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
                [3 ]Connecticut Agricultural Experiment Station Valley Laboratory, Windsor, CT 06095, U.S.A.
                Article
                10.1094/PHYTO-05-20-0170-R
                32748735
                1f3cd44d-fd5c-41ed-98fd-c8b8145abf84
                © 2021
                History

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