Your browser doesn't support javascript.
loading
Comparison between p-distance and single-locus species delimitation models for delineating reproductively tested strains of pennate diatoms (Bacillariophyceae) using cox1, rbcL and ITS.
Franco, Andréa de O da R; Ashworth, Matt P; Odebrecht, Clarisse.
Afiliação
  • Franco AODR; Institute of Oceanography, Federal University of Rio Grande - FURG, Rio Grande, Brazil.
  • Ashworth MP; Department of Molecular Biosciences, UTEX Culture Collection of Algae, University of Texas at Austin, Austin, Texas, USA.
  • Odebrecht C; Institute of Oceanography, Federal University of Rio Grande - FURG, Rio Grande, Brazil.
J Eukaryot Microbiol ; 70(5): e12986, 2023.
Article em En | MEDLINE | ID: mdl-37243408
Several automated molecular methods have emerged for distinguishing eukaryote species based on DNA sequence data. However, there are knowledge gaps around which of these single-locus methods is more accurate for the identification of microalgal species, such as the highly diverse and ecologically relevant diatoms. We applied genetic divergence, Automatic Barcode Gap Discovery for primary species delimitation (ABGD), Assemble Species by Automatic Partitioning (ASAP), Statistical Parsimony Network Analysis (SPNA), Generalized Mixed Yule Coalescent (GMYC) and Poisson Tree Processes (PTP) using partial cox1, rbcL, 5.8S + ITS2, ITS1 + 5.8S + ITS2 markers to delineate species and compare to published polyphasic identification data (morphological features, phylogeny and sexual reproductive isolation) to test the resolution of these methods. ASAP, ABGD, SPNA and PTP models resolved species of Eunotia, Seminavis, Nitzschia, Sellaphora and Pseudo-nitzschia corresponding to previous polyphasic identification, including reproductive isolation studies. In most cases, these models identified diatom species in similar ways, regardless of sequence fragment length. GMYC model presented smallest number of results that agreed with previous published identification. Following the recommendations for proper use of each model presented in the present study, these models can be useful tools to identify cryptic or closely related species of diatoms, even when the datasets have relatively few sequences.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diatomáceas Idioma: En Revista: J Eukaryot Microbiol Assunto da revista: MICROBIOLOGIA / PARASITOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Diatomáceas Idioma: En Revista: J Eukaryot Microbiol Assunto da revista: MICROBIOLOGIA / PARASITOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Brasil País de publicação: Estados Unidos