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      Diversity of Sporocadaceae (pestalotioid fungi) from Rosa in China

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          Abstract

          Rosa ( Rosaceae) is an important ornamental and medicinal plant genus worldwide, with several species being cultivated in China. Members of Sporocadaceae (pestalotioid fungi) are globally distributed and include endophytes, saprobes but also plant pathogens, infecting a broad range of host plants on which they can cause important plant diseases. Although several Sporocadaceae species were recorded to inhabit Rosa spp., the taxa occurring on Rosa remain largely unresolved. In this study, a total of 295 diseased samples were collected from branches, fruits, leaves and spines of eight Rosa species ( R. chinensis, R. helenae, R. laevigata, R. multiflora, R. omeiensis, R. rugosa, R. spinosissima and R. xanthina) in Gansu, Henan, Hunan, Qinghai, Shaanxi Provinces and the Ningxia Autonomous Region of China. Subsequently 126 strains were obtained and identified based on comparisons of DNA sequence data. Based on these results 15 species residing in six genera of Sporocadaceae were delineated, including four known species ( Pestalotiopsis chamaeropis, Pes. rhodomyrtus, Sporocadus sorbi and Spo. trimorphus) and 11 new species described here as Monochaetia rosarum, Neopestalotiopsis concentrica, N. subepidermalis, Pestalotiopsis tumida, Seimatosporium centrale, Seim. gracile, Seim. nonappendiculatum, Seim. parvum, Seiridium rosae, Sporocadus brevis, and Spo. spiniger. This study also represents the first report of Pes. chamaeropis, Pes. rhodomyrtus and Spo. sorbi on Rosa. The overall data revealed that Pestalotiopsis was the most prevalent genus, followed by Seimatosporium, while Pes. chamaeropis and Pes. rhodomyrtus were the two most prevalent species. Analysis of Sporocadaceae abundance on Rosa species and plant organs revealed that spines of R. chinensis had the highest species diversity.

          Citation: Peng C, Crous PW, Jiang N, et al. 2022. Diversity of Sporocadaceae (pestalotioid fungi) from Rosa in China. Persoonia 49: 201–260. https://doi.org/10.3767/persoonia.2022.49.07.

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

          Kazutaka Katoh, Daron Standley (2013)
          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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            MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

            Koichiro Tamura, Glen Stecher, Daniel Walter Peterson … (2013)
            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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              MAFFT online service: multiple sequence alignment, interactive sequence choice and visualization

              Kazutaka Katoh, John Rozewicki, Kazunori Yamada (2017)
              Abstract This article describes several features in the MAFFT online service for multiple sequence alignment (MSA). As a result of recent advances in sequencing technologies, huge numbers of biological sequences are available and the need for MSAs with large numbers of sequences is increasing. To extract biologically relevant information from such data, sophistication of algorithms is necessary but not sufficient. Intuitive and interactive tools for experimental biologists to semiautomatically handle large data are becoming important. We are working on development of MAFFT toward these two directions. Here, we explain (i) the Web interface for recently developed options for large data and (ii) interactive usage to refine sequence data sets and MSAs.
              Article 0 comments Cited 1900 times – based on 0 reviews     Review now
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                Author and article information

                Journal
                Journal ID (nlm-ta): Persoonia
                Journal ID (iso-abbrev): Persoonia
                Journal ID (publisher-id): Persoonia
                Title: Persoonia : Molecular Phylogeny and Evolution of Fungi
                Publisher: Naturalis Biodiversity Center & Westerdijk Fungal Biodiversity Institute
                ISSN (Print): 0031-5850
                ISSN (Electronic): 1878-9080
                Publication date (Electronic): 13 August 2022
                Publication date (Print): 20 December 2022
                Volume: 49
                Pages: 201-260
                Affiliations
                [1 ]The Key Laboratory for Silviculture and Conservation of the Ministry of Education, Beijing Forestry University, Beijing 100083, China;
                [2 ]Westerdijk Fungal Biodiversity Institute, Uppsalalaan 8, 3584 CT Utrecht, The Netherlands.
                [3 ]Wageningen University and Research Centre (WUR), Laboratory of Phytopathology, Droevendaalsesteeg 1,6708 PB Wageningen, The Netherlands.
                [4 ]Microbiology, Department of Biology, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands.
                [5 ]Key Laboratory of Forest Protection of National Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Nature Conservation, Chinese Academy of Forestry, Beijing 100091, China.
                [6 ]Museum of Beijing Forestry University, Beijing Forestry University, Beijing 100083, China.
                Author notes
                corresponding author e-mail: chengmt@ 123456bjfu.edu.cn .
                Article
                DOI: 10.3767/persoonia.2022.49.07
                PMC ID: 10792223
                PubMed ID: 38234377
                SO-VID: 305fb963-8dbb-4a28-947d-4de7ab5178c5
                Copyright © © 2022 Naturalis Biodiversity Center & Westerdijk Fungal Biodiversity Institute
                License:

                You are free to share - to copy, distribute and transmit the work, under the following conditions:

                Attribution: You must attribute the work in the manner specified by the author or licensor (but not in any way that suggests that they endorse you or your use of the work).

                Non-commercial: You may not use this work for commercial purposes.

                No derivative works: You may not alter, transform, or build upon this work.

                For any reuse or distribution, you must make clear to others the license terms of this work, which can be found at https://creativecommons.org/licenses/by-nc-nd/4.0/. Any of the above conditions can be waived if you get permission from the copyright holder. Nothing in this license impairs or restricts the author’s moral rights.

                History
                Date received : 28 April 2022
                Date accepted : 13 June 2022
                Categories
                Subject: Research Article

                ScienceOpen disciplines: Plant science & Botany
                Keywords: amphisphaeriales,ascomycota,new taxa,phylogeny,taxonomy
                Data availability:
                ScienceOpen disciplines: Plant science & Botany
                Keywords: amphisphaeriales, ascomycota, new taxa, phylogeny, taxonomy

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