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      Phylogenetic and morphological analyses of Coniochaeta isolates recovered from Inner Mongolia and Yunnan revealed three new endolichenic fungal species

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          Abstract

          Lichens are the result of a symbiotic interaction between fungi (mycobionts) and algae (phycobionts). Aside from mycobionts, lichen thalli can also contain non-lichenised fungal species, such as lichenicolous and endolichenic fungi. For this study, three surveys were conducted in China’s Yunnan Province and Inner Mongolia Autonomous Region between 2017 and 2020. Several samples of four lichen species were collected during these surveys: Candelaria fibrosa , Flavoparmelia caperata , Flavopunctelia flaventior and Ramalina sinensis . Six isolates of Coniochaeta were recovered from these four lichen species. The phylogenetic and morphological analyses revealed that two of these isolates were previously identified species, Coniochaeta velutinosa and C. acaciae . Those remaining were from potentially unknown species. We used molecular and morphological data to describe these previously-unknown species as Coniochaeta fibrosae sp. nov., C. mongoliae sp. nov. and C. sinensis sp. nov. The findings of this study significantly improve our understanding of the variety and habitat preferences of Coniochaeta in China and globally.

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          MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

          We report a major update of the MAFFT multiple sequence alignment program. This version has several new features, including options for adding unaligned sequences into an existing alignment, adjustment of direction in nucleotide alignment, constrained alignment and parallel processing, which were implemented after the previous major update. This report shows actual examples to explain how these features work, alone and in combination. Some examples incorrectly aligned by MAFFT are also shown to clarify its limitations. We discuss how to avoid misalignments, and our ongoing efforts to overcome such limitations.
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            NIH Image to ImageJ: 25 years of image analysis

            For the past twenty five years the NIH family of imaging software, NIH Image and ImageJ have been pioneers as open tools for scientific image analysis. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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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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                Author and article information

                Contributors
                Journal
                MycoKeys
                MycoKeys
                11
                urn:lsid:arphahub.com:pub:C004A564-9D6A-5F9F-B058-6A3815DFE9C3
                MycoKeys
                Pensoft Publishers
                1314-4057
                1314-4049
                2021
                09 September 2021
                : 83
                : 105-121
                Affiliations
                [1 ] College of Life Science, Shandong Normal University, Jinan 250014, Shandong, China Shandong Normal University Jinan China
                [2 ] Department of Biochemistry, Genetics & Microbiology, Forestry and Agricultural Biotechnology Institute (FABI), University of Pretoria, Pretoria 0002, South Africa University of Pretoria Pretoria South Africa
                Author notes
                Corresponding author: Run-Lei Chang ( runlei.chang@ 123456163.com )

                Academic editor: Cecile Gueidan

                Author information
                https://orcid.org/0000-0003-0585-3478
                https://orcid.org/0000-0001-6613-9062
                Article
                71140
                10.3897/mycokeys.83.71140
                8445908
                34602840
                18fe3ae1-9fe9-46a9-a0af-eec538ab0ac4
                Hong-Li Si, Yue-Min Su, Xiao-Xiao Zheng, Meng-Yao Ding, Tanay Bose, Run-Lei Chang

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 06 July 2021
                : 12 August 2021
                Categories
                Research Article
                Coniochaetaceae
                Biodiversity & Conservation
                Molecular systematics
                Taxonomy
                Asia

                coniochaetaceae ,lichens,molecular phylogeny,mongolia,yunnan province

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