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Here we present a formal description of Biremis panamae Barka, Witkowski et Weisenborn sp. nov., which was isolated from the marine littoral environment of the Pacific Ocean coast of Panama. The description is based on morphology (light and electron microscopy) and the rbcL, psbC and SSU sequences of one clone of this species. The new species is included in Biremis due to its morphological features; i.e. two marginal rows of foramina, chambered striae, and girdle composed of numerous punctate copulae. The new species also possesses a striated valve face which is not seen in most known representatives of marine littoral Biremis species. In this study we also present the relationship of Biremis to other taxa using morphology, DNA sequence data and observations of auxosporulation. Our results based on these three sources point to an evolutionary relationship between Biremis, Neidium and Scoliopleura. The unusual silicified incunabular caps present in them are known otherwise only in Muelleria, which is probably related to the Neidiaceae and Scoliotropidaceae. We also discuss the relationship between Biremis and the recently described Labellicula and Olifantiella.
Network graphs have become a popular tool to represent complex systems composed of many interacting subunits; especially in neuroscience, network graphs are increasingly used to represent and analyze functional interactions between multiple neural sources. Interactions are often reconstructed using pairwise bivariate analyses, overlooking the multivariate nature of interactions: it is neglected that investigating the effect of one source on a target necessitates to take all other sources as potential nuisance variables into account; also combinations of sources may act jointly on a given target. Bivariate analyses produce networks that may contain spurious interactions, which reduce the interpretability of the network and its graph metrics. A truly multivariate reconstruction, however, is computationally intractable because of the combinatorial explosion in the number of potential interactions. Thus, we have to resort to approximative methods to handle the intractability of multivariate interaction reconstruction, and thereby enable the use of networks in neuroscience. Here, we suggest such an approximative approach in the form of an algorithm that extends fast bivariate interaction reconstruction by identifying potentially spurious interactions post-hoc: the algorithm uses interaction delays reconstructed for directed bivariate interactions to tag potentially spurious edges on the basis of their timing signatures in the context of the surrounding network. Such tagged interactions may then be pruned, which produces a statistically conservative network approximation that is guaranteed to contain non-spurious interactions only. We describe the algorithm and present a reference implementation in MATLAB to test the algorithm’s performance on simulated networks as well as networks derived from magnetoencephalographic data. We discuss the algorithm in relation to other approximative multivariate methods and highlight suitable application scenarios. Our approach is a tractable and data-efficient way of reconstructing approximative networks of multivariate interactions. It is preferable if available data are limited or if fully multivariate approaches are computationally infeasible.
Molecular phylogenetic studies of Moraea Mill. and the inclusion of Barnardiella Goldblatt, Galaxia Thunb., Gynandriris Parl., Hexaglottis Vent., Homeria Vent. and Roggeveldia Goldblatt in the genus have rendered the existing infrageneric classification, dating from 1976, in need of substantial revision. In particular, subg. Moraea and subg. Vieusseuxia have been shown to be paraphyletic. We propose a new infrageneric classification, based, as far as current data permit, on phylogenetic principles. Monophyletic subgenera and sections are circumscribed based on molecular phylogenies alone or in combination with morphological considerations. We recognize 11 subgenera, 15 sections and three series, arranged as follows in phylogenetic sequence: Plumarieae; Visciramosae (with sect. Multifoliae and sect. Visciramosae); Moraea (with sect. Moraea and sect. Polyphyllae); Galaxia (with ser. Unguiculatae, ser. Eurystigma and ser. Galaxia); Monocephalae; Acaules; Polyanthes (with sect. Serpentinae, sect. Deserticola, sect. Hexaglottis, sect. Gynandriris, sect. Polyanthes and sect. Pseudospicatae); Grandifl orae; Vieusseuxia (with sect. Integres, sect. Vieusseuxia and sect. Villosae); and Homeria (with sect. Stipanthera, sect. Flexuosae, sect. Homeria and sect. Conantherae). Most are moderately to well circumscribed at the morphological level either by floral or vegetative characters, except subg. Moraea, which includes a small number of unspecialized species apparently not linked by any apomorphic features. With over 27 new species described in the past 25 years and another 60 transferred to the genus, Moraea now includes 214 species. We provide a full taxonomic synopsis of the genus.
Climate change is influencing some environmental variables in the Southern Ocean (SO) and this will have an effect on the marine biodiversity. Peracarid crustaceans are one of the dominant and most species-rich groups of the SO benthos. To date, our knowledge on the influence of environmental variables in shaping abundance and species composition in the SO’s peracarid assemblages is limited, and with regard to ice coverage it is unknown. The aim of our study was to assess the influence of sea ice coverage, chlorophyll-a, and phytoplankton concentrations on abundance, distribution and assemblage structure of peracarids. In addition, the influence of other physical parameters on peracarid abundance was assessed, including depth, temperature, salinity, sediment type, current velocity, oxygen, iron, nitrate, silicate and phosphate. Peracarids were sampled with an epibenthic sledge (EBS) in different areas of the Atlantic sector of the SO and in the Weddell Sea. Sampling areas were characterized by different regimes of ice coverage (the ice free South Orkney Islands, the seasonally ice-covered Filchner Trough and the Eastern Antarctic Peninsula including the Prince Gustav Channel which was formerly covered by a perennial ice shelf). In total 64766 individuals of peracarids were collected and identified to order level including five orders: Amphipoda, Cumacea, Isopoda, Mysidacea, and Tanaidacea. Amphipoda was the most abundant taxon, representing 32% of the overall abundances, followed by Cumacea (31%), Isopoda (29%), Mysidacea (4%), and Tanaidacea (4%). The Filchner Trough had the highest abundance of peracarids, while the South Orkney Islands showed the lowest abundance compared to other areas. Ice coverage was the main environmental driver shaping the abundance pattern and assemblage structure of peracarids and the latter were positively correlated with ice coverage and chlorophyll-a concentration. We propose that the positive correlation between sea ice and peracarid abundances is likely due to phytoplankton blooms triggered by seasonal sea ice melting, which might increase the food availability for benthos. Variations in ice coverage extent and seasonality due to climate change would strongly influence the abundance and assemblage structure of benthic peracarids.
Adaptive Radiation und Zoogeographie anisakider Nematoden verschiedener Klimazonen und Ozeane
(2013)
Anisakide Nematoden sind Parasiten aquatischer Organismen und weltweit in marinen Habitaten verbreitet. Ihre Übertragungswege sind tief im marinen Nahrungsnetz verwurzelt und schließen ein breites Spektrum pelagisch/benthischer Invertebraten (z.B. Cephalopoda, Gastropoda, Crustacea, Polychaeta) und Vertebraten (z.B. Teleostei, Elasmobranchia, Cetacea, Pinnipedia, Aves) als Zwischen- bzw. Endwirte ein. Aufgrund der hohen Befallszahlen u.a. in der Muskulatur und Viszera kommerziell intensiv genutzter Fischarten (z.B. Clupea harengus, Gadus morhua, Salmo salar) sowie ihrer Rolle als Auslöser der menschlichen Anisakiasis nehmen die Vertreter der Gattung Anisakis unter den anisakiden Nematoden eine Sonderstellung ein. Anhand der verbesserten Diagnostik und der Etablierung sowie Weiterentwicklung molekularbiologischer Methoden ist es in den letzten zwei Dekaden gelungen, die bestehende Taxonomie und Systematik der Gattung Anisakis zu erweitern bzw. zu revidieren. Aktuelle molekulare Analysen weisen auf die Existenz von insgesamt neun distinkten Arten hin, welche eine hohe genetische Heterogenität und Wirtsspezifität aufweisen, äußerlich jedoch nahezu identisch sind (sog. kryptische Arten). Trotz kontinuierlicher Forschung auf dem Gebiet ist das Wissen über die Biologie von Anisakis immer noch unzureichend.
Die vorliegende Dissertation ist in kumulativer Form verfasst und umfasst drei (ISI-) Einzelpublikationen. Die Zielsetzung der durchgeführten Studien bestand unter anderem darin, unter Verwendung molekularbiologischer und computergestützter Analyseverfahren, Fragestellungen zur Zoogeographie, (Co-)Phylogenie, Artdiagnostik, Lebenszyklus-Ökologie sowie des bioindikatorischen Potentials dieser Gattung zu bearbeiten und bestehende Wissenslücken zu schließen.
Die Verbreitung von Anisakis, welche bisher ausschließlich anhand von biogeographischen Einzelnachweisen abgeschätzt wurde, konnte durch den angewandten Modellierungsansatz erstmalig interpoliert und in Kartenform vergleichend dargestellt werden. Dabei wurde gezeigt, dass die Verbreitung von Anisakis spp. in den Ozeanen und Klimazonen nicht gleichmäßig ist. Die Analysen deuten auf die Existenz spezies-spezifischer horizontaler und vertikaler Verbreitungsmuster hin, welche neben abiotischen Faktoren durch die Verbreitung und Abundanz der jeweiligen Zwischen- und Endwirte sowie deren Tiefenverteilung und Nahrungspräferenzen geprägt sind.
Durch die umfangreiche Zusammenstellung und anschließende Kategorisierung der (mit molekularen Methoden) geführten Zwischenwirtsnachweise konnten indirekte Rückschlüsse über die vertikale Verbreitung von Anisakis spp. entlang der Tiefenhabitate gezogen werden.
Während Anisakis auf Gattungsebene in der gesamten Wassersäule entlang verschiedener Tiefenhabitate abundant ist, wurde für die stenoxene Art Anisakis paggiae ein meso-/bathypelagisch orientierter Lebenszyklus postuliert. Durch den Einbezug eines breiten Spektrums (paratenischer) Zwischen- und Transportwirte aus unterschiedlichen trophischen Ebenen werden Transmissionslücken im Lebenszyklus der Gattung weitestgehend minimiert und der Transmissionserfolg auf den Endwirt, und damit die Wahrscheinlichkeit einer erfolgreichen Reproduktion, erhöht. Ausgeprägte Wirtspräferenzen sowie phylogenetische Analysen des ribosomalen ITS-Markers stützen eine Theorie zur co-evolutiven Anpassung der Parasiten an ihre Endwirte. Anisakis eignet sich daher unter Einschränkungen als Bioindikator für die vertikale und horizontale Verbreitung und Abundanz der Endwirte und lässt Rückschlüsse auf trophische Interaktionen im Nahrungsnetz zu. Durch die weitere Beprobung von Zwischenwirten aus verschiedenen trophischen Ebenen in zukünftigen Studien, kann eine genauere Bewertung potentiell abweichender Lebenszyklus-Strategien gewährleistet werden. Insbesondere ist die Datenlage zur Prävalenz und Abundanz anisakider Nematoden in Cephalopoda und Crustacea noch unzureichend. Die Probennahme sollte dabei unter besonderer Berücksichtigung bislang wenig oder unbeprobter geographischer Regionen, Tiefenhabitate und Wirtsarten durchgeführt werden.
Background: Aedes albopictus and Ae. japonicus are two of the most widespread invasive mosquito species that have recently become established in western Europe. Both species are associated with the transmission of a number of serious diseases and are projected to continue their spread in Europe.
Methods: In the present study, we modelled the habitat suitability for both species under current and future climatic conditions by means of an Ensemble forecasting approach. We additionally compared the modelled MAXENT niches of Ae. albopictus and Ae. japonicus regarding temperature and precipitation requirements.
Results: Both species were modelled to find suitable habitat conditions in distinct areas within Europe: Ae. albopictus within the Mediterranean regions in southern Europe, Ae. japonicus within the more temperate regions of central Europe. Only in few regions, suitable habitat conditions were projected to overlap for both species. Whereas Ae. albopictus is projected to be generally promoted by climate change in Europe, the area modelled to be climatically suitable for Ae. japonicus is projected to decrease under climate change. This projection of range reduction under climate change relies on the assumption that Ae. japonicus is not able to adapt to warmer climatic conditions. The modelled MAXENT temperature niches of Ae. japonicus were found to be narrower with an optimum at lower temperatures compared to the niches of Ae. albopictus.
Conclusions: Species distribution models identifying areas with high habitat suitability can help improving monitoring programmes for invasive species currently in place. However, as mosquito species are known to be able to adapt to new environmental conditions within the invasion range quickly, niche evolution of invasive mosquito species should be closely followed upon in future studies.
The Asian tiger mosquito Aedes albopictus, native to South East Asia, is listed as one of the worst invasive vector species worldwide. In Europe the species is currently restricted to Southern Europe, but due to the ongoing climate change, Ae. albopictus is expected to expand its potential range further northwards. In addition to modelling the habitat suitability for Ae. albopictus under current and future climatic conditions in Europe by means of the maximum entropy approach, we here focused on the drivers of the habitat suitability prediction. We explored the most limiting factors for Aedes albopictus in Europe under current and future climatic conditions, a method which has been neglected in species distribution modelling so far. Ae. albopictus is one of the best-studied mosquito species, which allowed us to evaluate the applied Maxent approach for most limiting factor mapping. We identified three key limiting factors for Ae. albopictus in Europe under current climatic conditions: winter temperature in Eastern Europe, summer temperature in Southern Europe. Model findings were in good accordance with commonly known establishment thresholds in Europe based on climate chamber experiments and derived from the geographical distribution of the species. Under future climatic conditions low winter temperature were modelled to remain the most limiting factor in Eastern Europe, whereas in Central Europe annual mean temperature and summer temperatures were modelled to be replaced by summer precipitation, respectively, as most limiting factors. Changes in the climatic conditions in terms of the identified key limiting factors will be of great relevance regarding the invasive potential of the Ae. albopictus. Thus, our results may help to understand the key drivers of the suggested range expansion under climate change and may help to improve monitoring programmes. The applied approach of investigating limiting factors has proven to yield valuable results and may also provide valuable insights into the drivers of the prediction of current and future distribution of other species. This might be particularly interesting for other vector species that are of increasing public health concerns.
Molluscs are the second most species-rich phylum in the animal kingdom, yet only 11 genomes of this group have been published so far. Here, we present the draft genome sequence of the pulmonate freshwater snail Radix auricularia. Six whole genome shotgun libraries with different layouts were sequenced. The resulting assembly comprises 4,823 scaffolds with a cumulative length of 910 Mb and an overall read coverage of 72×. The assembly contains 94.6% of a metazoan core gene collection, indicating an almost complete coverage of the coding fraction. The discrepancy of ∼690 Mb compared with the estimated genome size of R. auricularia (1.6 Gb) results from a high repeat content of 70% mainly comprising DNA transposons. The annotation of 17,338 protein coding genes was supported by the use of publicly available transcriptome data. This draft will serve as starting point for further genomic and population genetic research in this scientifically important phylum.
High-throughput metabarcoding studies on fungi and other eukaryotic microorganisms are rapidly becoming more frequent and more complex, requiring researchers to handle ever increasing amounts of raw sequence data. Here, we provide a flexible pipeline for pruning and analyzing fungal barcode (ITS rDNA) data generated as paired-end reads on Illumina MiSeq sequencers. The pipeline presented includes specific steps fine-tuned for ITS, that are mostly missing from pipelines developed for prokaryotes. It (1) employs state of the art programs and follows best practices in fungal high-throughput metabarcoding; (2) consists of modules and scripts easily modifiable by the user to ensure maximum flexibility with regard to specific needs of a project or future methodological developments; and (3) is straightforward to use, also in classroom settings. We provide detailed descriptions and revision techniques for each step, thus giving the user maximum control over data treatment and avoiding a black-box approach. Employing this pipeline will improve and speed up the tedious and error-prone process of cleaning fungal Illumina metabarcoding data.