@ARTICLE{TreeBASE2Ref19236,
author = {Karolina Fucikova and Jared C. Rada and Alena Lukesova and Louise A. Lewis},
title = {Cryptic Diversity within the Genus Pseudomuriella Hanagata (Chlorophyta, Chlorophyceae, Sphaeropleales) Assessed Using Four Barcode Markers.},
year = {2011},
keywords = {barcoding, coccoid, rbcL, cox1, ITS, tufA, cryptic species.},
doi = {},
url = {http://},
pmid = {},
journal = {Nova Hedwigia},
volume = {93},
number = {},
pages = {29 -- 46},
abstract = {The taxonomy of green coccoid algae traditionally has been limited by their character-
poor morphology observable by light microscopy. Alternative methods, especially the use of molecular sequence data, often reveal cryptic diversity and help clarify phylogenetic affiliations of green coccoids. The present study focuses on the morphologically cryptic diversity within the genus Pseudomuriella Hanagata, established using a phylogenetic approach based on a four-gene phylogeny. Suitability of the four individual molecular markers, the nuclear internal transcribed spacer 2, the plastid genes rbcL and tufA, and the mitochondrial cox1 gene, for species recognition (barcoding) was assessed by comparison of their performance in species-level resolution within the Pseudomuriella clade, while also considering the ease of their use. All four genes examined were found to contain variation usable for species-level resolution, and provided largely consistent phylogenies. Cox1 was about twice as variable among species as the other three markers but needed taxon specific primers. A joint use of the four markers may be the ideal tool for barcoding cryptic green algal species, but both rbcL and tufA appear to be the most practical combination of good phylogenetic signal and ease of use.}
}
Citation title: "Cryptic Diversity within the Genus Pseudomuriella Hanagata (Chlorophyta, Chlorophyceae, Sphaeropleales) Assessed Using Four Barcode Markers.".
Study name: "Cryptic Diversity within the Genus Pseudomuriella Hanagata (Chlorophyta, Chlorophyceae, Sphaeropleales) Assessed Using Four Barcode Markers.".
This study is part of submission 10893
(Status: Published).