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Data · collection · 2025

Phylogenetic and taxonomic analyses reveal three new records of Helvella in Türkiye

Listed in GBIF

Description

This dataset contains the digitized treatments in Plazi based on the original journal article Terman, Şuheda Aldemir, Akçay, Mustafa Emre, Dizkirici, Ayten (2025): Phylogenetic and taxonomic analyses reveal three new records of Helvella in Türkiye. Phytotaxa 694 (3): 247-263, DOI: 10.11646/phytotaxa.694.3.4, URL: doi.org/10.11646/phytotaxa.694.3.4

Abstract

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In this study, morphological and molecular analyses of three newly collected saddle-like fungi confirm their classification within the genus Helvella L. from the eastern Türkiye. A three-locus phylogeny was constructed using the internal transcribed spacer (ITS) region, the translation elongation factor 1-alpha (TEF 1-α), and the large subunit (LSU) of the ribosomal RNA gene. Phylogenetic analyses were performed using Maximum Likelihood (ML) and Bayesian Inference (BI) approaches.

The phylogeny inferred from the concatenated dataset revealed three distinct clades. The Turkish Helvella species were distributed across the Elastica, Lacunosa and Acetabulum clades, identified as H. rivularis, H. sublactea, H. arcto-alpina, respectively. Both single-locus and multi-locus data provided informative results.

In addition to phylogenetic analysis, detailed macro- and micro- features, along with illustrations, were provided for each studied species.

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From keywords
Life Sciences
Provenance · 1 source records, 8 field assertions
SourceKeyLast seenRaw
GBIFea67ff46-055b-476f-820e-eb71b81a81bf13 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · gbifconnector:gbif@1.0.0
concepts[field].local:field:life-sciencesmapping · gbifconnector:gbif@1.0.0
created_datesource · gbifconnector:gbif@1.0.0
descriptionsource · gbifconnector:gbif@1.0.0/description
licensesource · gbifconnector:gbif@1.0.0
publication_datesource · gbifconnector:gbif@1.0.0
titlesource · gbifconnector:gbif@1.0.0/title
updated_datesource · gbifconnector:gbif@1.0.0