TRÁVNÍČEK, Pavel, Zuzana CHUMOVÁ, Eliška ZÁVESKÁ, Johana HANZLÍČKOVÁ, Lucie KUPKOVÁ, Jaromír KUČERA, Eliška GBÚROVÁ ŠTUBŇOVÁ, Ludmila REJLOVÁ, Terezie MALÍK MANDÁKOVÁ and Jan PONERT. Integrative Study of Genotypic and Phenotypic Diversity in the Eurasian Orchid Genus Neotinea. Frontiers in Plant Science. Lausanne: Frontiers Media SA, 2021, vol. 12, October, p. 1-18. ISSN 1664-462X. Available from: https://dx.doi.org/10.3389/fpls.2021.734240.
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Basic information
Original name Integrative Study of Genotypic and Phenotypic Diversity in the Eurasian Orchid Genus Neotinea
Authors TRÁVNÍČEK, Pavel, Zuzana CHUMOVÁ, Eliška ZÁVESKÁ, Johana HANZLÍČKOVÁ, Lucie KUPKOVÁ, Jaromír KUČERA, Eliška GBÚROVÁ ŠTUBŇOVÁ, Ludmila REJLOVÁ, Terezie MALÍK MANDÁKOVÁ (203 Czech Republic, belonging to the institution) and Jan PONERT.
Edition Frontiers in Plant Science, Lausanne, Frontiers Media SA, 2021, 1664-462X.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10611 Plant sciences, botany
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 6.627
RIV identification code RIV/00216224:14740/21:00124347
Organization unit Central European Institute of Technology
Doi http://dx.doi.org/10.3389/fpls.2021.734240
UT WoS 000713505000001
Keywords in English cryptic diversity; genome size; geometric morphometric; multivariate morphometric; orchids (Orchidaceae); partial endoreplication; RADseq
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 11/4/2022 13:52.
Abstract
Knowledge of population variation across species' ranges is a prerequisite for correctly assessing the overall variability of any group of organisms and provides an invaluable basis for unraveling evolutionary history, optimizing taxonomy and devising effective conservation strategies. Here, we examine the genus Neotinea, which represents a relatively recently delimited monophyletic genus of orchids, for which a detailed study of its overall variability was lacking. We applied a suite of biosystematic methods, consisting of flow cytometry, multivariate and geometric morphometrics, and analysis of genomic SNP data, to identify phylogenetic lineages within the genus, to delineate phenotypic variation relevant to these lineages, and to identify potential cryptic taxa within lineages. We found clear differentiation into four major lineages corresponding to the groups usually recognized within the genus: Neotinea maculata as a distinct and separate taxon, the Neotinea lactea group comprising two Mediterranean taxa N. lactea and Neotinea conica, the Neotinea ustulata group comprising two phenologically distinct varieties, and the rather complex Neotinea tridentata group comprising two major lineages and various minor lineages of unclear taxonomic value. N. conica constitutes both a monophyletic group within N. lactea and a distinct phenotype within the genus and merits its proposed subspecies-level recognition. By contrast, the spring and summer flowering forms of N. ustulata (var. ustulata and var. aestivalis) were confirmed to be distinct only morphologically, not phylogenetically. The most complex pattern emerged in the N. tridentata group, which splits into two main clades, one containing lineages from the Balkans and eastern Mediterranean and the other consisting of plants from Central Europe and the central Mediterranean. These individual lineages differ in genome size and show moderate degrees of morphological divergence. The tetraploid Neotinea commutata is closely related to the N. tridentata group, but our evidence points to an auto- rather than an allopolyploid origin. Our broad methodological approach proved effective in recognizing cryptic lineages among the orchids, and we propose the joint analysis of flow cytometric data on genome size and endopolyploidy as a useful and beneficial marker for delineating orchid species with partial endoreplication.
Links
LM2015047, research and development projectName: Česká národní infrastruktura pro biologická data (Acronym: ELIXIR-CZ)
Investor: Ministry of Education, Youth and Sports of the CR, Czech National Infrastructure for Biological Data
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