Reusing old and producing new data is useful for species delimitation in the taxonomically controversial Iberian endemic pair Petrocoptis montsicciana/ P. pardoi (Caryophyllaceae)

Autor/a

Nualart, Neus

Herrando-Moraria, Sonia

Cires, Eduardo

Guardiola, Moisès

Laguna, Emilio

Pérez-Prieto, David

Sáez, Llorenç

López-Pujol, Jordi

Data de publicació

2021-05-12



Resum

Petrocoptis montsicciana and P. pardoi are two Iberian endemic taxa of Caryophyllaceae family with an unclear taxonomic delimitation, being variously treated as independent species, subspecies or even synonyms. In the present study, allozyme raw data obtained in the early 2000s have been reused with improved tools to survey genetic structure, and complemented with modeling and niche comparative analyses to shed light on species delimitation. Genetic structure was investigated using four approaches: Bayesian clustering, Monmonier’s algorithm, Principal Coordinate Analysis (PCoA), and Analysis of Molecular Variance (AMOVA). Ecological niche differences have been assessed through Ecological Niche Modeling (ENM) using MaxEnt, and Principal Component Analysis using both occurrence records and background climate (PCA-env). Genetic analysis confirms the distinction between both taxa, and the scenario of a progenitor–derivative (P–D) is suggested. In agreement with genetic data, niche analysis shows clear differences between their climate regarding species occurrences and background spaces. Climate divergence could be explained, at least partially, by the abundance of rocks where species live although differences at the microclimate instead of the regional climate should be explored in future research. Given the genetic distinction between P. montsicciana and P. pardoi, both taxa should be regarded as separate ‘Management Units’ (MUs).

Tipus de document

Article
Versió publicada

Llengua

Anglès

Matèries CDU

58 - Botànica

Paraules clau

Cariofil·làcies; Casmòfits

Pàgines

14 p.

És versió de

Diversity 13 (2021), 205

Documents

diversity-13-00205-v2.pdf

4.403Mb

 

Drets

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