A group of protist experts proposes a two-step DNA barcoding approach, comprising a universal eukaryotic pre-barcode followed by group-specific barcodes, to unveil the hidden biodiversity of microbial eukaryotes.
Abstract. Sub-ice shelf circulation and freezing/melting rates in ocean general circulation models depend critically on an accurate and consistent representation of cavity geometry. Existing global or pan-Antarctic topography data sets have turned out to contain various inconsistencies and inaccuracies. The goal of this work is to compile independent regional surveys and maps into a global data set. We use the S-2004 global 1-min bathymetry as the backbone and add an improved version of the BEDMAP topography (ALBMAP bedrock topography) for an area that roughly coincides with the Antarctic continental shelf. The position of the merging line is individually chosen in different sectors in order to capture the best of both data sets. High-resolution gridded data for ice shelf topography and cavity geometry of the Amery, Fimbul, FilchnerRonne, Larsen C and George VI Ice Shelves, and for Pine Island Glacier are carefully merged into the ambient ice and ocean topographies. Multibeam survey data for bathymetry in the former Larsen B cavity and the southeastern Bellingshausen Sea have been obtained from the data centers of Alfred Wegener Institute (AWI), British Antarctic Survey (BAS) and Lamont-Doherty Earth Observatory (LDEO), gridded, and blended into the existing bathymetry map. The resulting global 1-min Refined Topography data set (RTopo-1) contains selfconsistent maps for upper and lower ice surface heights, bedrock topography, and surface type (open ocean, grounded ice, floating ice, bare land surface).
Recent studies have shown that molecular phylogenies of the choanoflagellates (Class Choanoflagellatea) are in disagreement with their traditional taxonomy, based on morphology, and that Choanoflagellatea requires considerable taxonomic revision. Furthermore, phylogenies suggest that the morphological and ecological evolution of the group is more complex than has previously been recognized. Here we address the taxonomy of the major choanoflagellate order Craspedida, by erecting four new genera. The new genera are shown to be morphologically, ecologically and phylogenetically distinct from other choanoflagellate taxa. Furthermore, we name five novel craspedid species, as well as formally describe ten species that have been shown to be either misidentified or require taxonomic revision. Our revised phylogeny, including 18 new species and sequence data for two additional genes, provides insights into the morphological and ecological evolution of the choanoflagellates. We examine the distribution within choanoflagellates of these two additional genes, EF-1A and EFL, closely related translation GTPases which are required for protein synthesis. Mapping the presence and absence of these genes onto the phylogeny highlights multiple events of gene loss within the choanoflagellates.
The choanoflagellates (Choanoflagellatea) comprise a major group of nanoflagellates, which are ubiquitous in the aquatic environment. Recent molecular phylogenies have shown them to be the sister group to the Metazoa. However, the phylogeny of the choanoflagellates is still far from understood. We present here a 29 taxon, multigene phylogeny that robustly places the root of the choanoflagellates. One of the original nonloricate families, Codonosigidae is shown to be a polyphyletic assemblage nested within the Salpingoecidae. We elaborate on a revised taxonomy that divides Choanoflagellatea into two orders: Craspedida and Acanthoecida. Craspedida is composed of species that possess an organic cell coating and contains the single family Salpingoecidae. Members of the predominantly marine Acanthoecida produce a siliceous lorica in addition to an organic coat and are contained in two families--the Acanthoecidae and Stephanoecidae fam. n. Previous studies of choanoflagellates have been hindered by cases of taxon misidentification as well as the limited resolution of 18S small subunit (SSU) rDNA phylogenies. Unfortunately, cases of misidentification have been heavily repeated in the literature. In an attempt to avoid further confusion, we highlight known instances of misnamed taxa. We also examine the suitability of SSU rDNA sequences alone for choanoflagellate phylogenetics and recommend the use of protein-coding genes, such as hsp90 and tubA, whenever possible.
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