Barcoded Reticulariaceae of the World

Latest version published by V. N. Karazin Kharkiv National University on Nov 13, 2023 V. N. Karazin Kharkiv National University
Publication date:
13 November 2023
CC-BY 4.0

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The dataset "Barcoded Reticulariaceae of the World" serves as a repository of primary data regarding specimens that were used for a comprehensive review of the family Reticulariaceae, Myxomycetes. It encompasses a total of 523 occurrences, including 36 type specimens, from collections gathered from four continents across 24 countries. This dataset includes 43 distinct species and two subspecies of Myxomycetes, among them rare, endemic, and recently described species. These collections were used as research materials in a series of published studies that focused on critical revisions of various genera, namely Alwisia (Leontyev et al. 2014a, 2014b), Lycogala (Leontyev 2023a, 2023b, Leontyev & Schnittler 2023), Tubifera (Leontyev et al. 2015, Lloyd et al. 2019), Siphoptychium, and Thecotubifera (Leontyev et al. 2019). In addition to the mentioned genera, the dataset also contains data pertaining to the genus Reticularia and members of the Cribrariaceae family that share morphological similarities with Reticulariaceae, specifically Lindbladia and Licaethalium. Nearly all of the specimens, with the exception of several old collections, have been barcoded, primarily involving the 18S rDNA gene, but also the elongation factor 1a gene and mitochondrial cytochrome oxidase subunit I gene. For those sequences that are stored in the NCBI GenBank, accession numbers are provided in the dataset.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 476 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.


The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Leontyev D, Yatsiuk I (2023). Barcoded Reticulariaceae of the World. Version 1.10. V. N. Karazin Kharkiv National University. Occurrence dataset.


Researchers should respect the following rights statement:

The publisher and rights holder of this work is V. N. Karazin Kharkiv National University. This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 2b767e54-7921-4908-af93-84a9c35264c1.  V. N. Karazin Kharkiv National University publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.


Occurrence; Specimen taxonomicAuthority


Dmytro Leontyev
  • Metadata Provider
  • Originator
  • Point Of Contact
  • Principal Investigator
Head of Department
Department of Botany, H.S. Skovoroda Kharkiv National Pedagogical University
Valentynivska St, 2
61168 Kharkiv
Iryna Yatsiuk
  • Curator
  • Originator
Junior researcher
Institute of Ecology and Earth Sciences, University of Tartu
Juhan Liivi 2, Oecologicum
50409 Tartu

Geographic Coverage

Europe, Asia, Northern America, Southern America, Australia

Bounding Coordinates South West [-54.83, -149.064], North East [66.283, 159.803]

Taxonomic Coverage

Family Reticulariaceae and allies, Class Myxomycetes

Class Myxomycetes

Sampling Methods

The data for this dataset were collected and processed during the previous taxonomic studies. Nearly all of the research material, with the exception of several old collections, underwent molecular barcoding, primarily involving the 18S rDNA gene, but also the elongation factor 1a gene (EF1a) and mitochondrial cytochrome oxidase subunit I gene (COI). For those sequences that are stored in the NCBI GenBank, accession numbers are provided in the dataset. It should be noted that identical sequences obtained from different accessions were not published in GenBank as separate records in the 2014–2019 publications. Therefore, for most of the Alwisia, Siphoptychium and Tubifera accessions included in the dataset, the numbers with which they share an identical barcode are given, rather than their own GenBank numbers. In such cases, the table contains the indicator "ident." (the barcode is identical to the following accession number).

Study Extent The dataset encompasses a total of 523 specimen-based occurrences, including 36 type specimens from collections gathered from four continents across 24 countries.

Method step description:

  1. Method steps 1. Specimens acquisition. Specimens were either collected in the field by authors of publications referenced herein or loaned from herbaria collections. 2. Morphological examination and DNA barcoding. For these data refer to the publications cited herein. 3. Taxonomic assessment. The data presented here served as a basis for original taxonomic studies including the description of new taxa. 4. Digitization of herbaria labels. 5. Georeferencing of occurrences. 6. Preparation of the dataset in DwC terms. 7. Data cleaning using OpenRefine (2022) and QGIS (QGIS Development Team, 2020)

Bibliographic Citations

  1. Leontyev D.V., Buttgereit M., Kochergina A., Shchepin O., Schnittler M. 2023a. Two independent genetic markers support separation of the myxomycete Lycogala epidendrum into numerous biological species. Mycologia. 114 (6). P.1–12.
  2. Leontyev D.V., Ishchenko Y., Schnittler M. 2023b. Fifteen new species from the genus Lycogala (Myxomycetes). Mycologia. 115 (4): 524–560.
  3. Leontyev D., Schnittler M., Moreno Horcajada G., Stephenson S., Mitchell D.W., Rojas C. 2014a. The genus Alwisia (Myxomycetes) revalidated, with two species new to science. Mycologia 106(5): 936–948.
  4. Leontyev D., Schnittler M., Stephenson S. 2015. A critical revision of the Tubifera ferruginosa complex. Mycologia 107 (5): 959–985.
  5. Leontyev D.V., Schnittler M. 2023. What are Lycogala confusum and L. exiguum? Revising authentic collections of myxomycetes in the light of a molecular-aided species concept. Nova Hedwigia 116 (3−4): 403–416
  6. Leontyev D.V., Schnittler M., Stephenson S.L. 2014b. A new species of Alwisia (Myxomycetes) from new South Wales and Tasmania. Mycologia 106(6): 1212–1219.
  7. Leontyev D.V., Schnittler M., Stephenson S.L., Novozhilov Y.K. Systematic revision of the Tubifera casparyi T. dictyoderma complex: Resurrection of the genus Siphoptychium and introduction of the new genus Thecotubifera. Mycologia. 2019. 111(6). P. 981–997.
  8. Lloyd S.J., Leontyev D.V., Dagamac N.H. Three new species of Tubifera from Tasmania and New South Wales. Phytotaxa. 2019. N 414 (5). P. 240–252.
  9. OpenRefine (2022) OpenRefine: A free, open source, powerful tool for working with messy data. 3.5.2. Release date: 2022-1-26.URL:
  10. QGIS Development Team, 2020. QGIS Geographic Information System. Open Source Geospatial Foundation Project.

Additional Metadata

Purpose The primary goal of this publication is to make data on the global distribution of species in the Reticulariaceae family available. Over the past decade, significant changes in the taxonomy of this family have occurred, but these changes have not yet been incorporated into identification literature. Many traditional species such as Tubifera ferruginosa, T. casparyi, T. microsperma, Lycogala epidendrum, and L. exiguum have been redefined more narrowly based on molecular data. Consequently, their geographical distribution appeared to be more limited than previously believed. Previously published data on the distribution of these taxa should therefore be used with caution. Our dataset offers reliable information about the distribution of such revised species, as well as recently described taxa, whose identification has been confirmed with molecular barcoding and meticulous morphological studies.
Alternative Identifiers 2b767e54-7921-4908-af93-84a9c35264c1