Institut für Ökologie, Evolution und Diversität
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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.
Repeated Quaternary glaciations have significantly shaped the present distribution and diversity of several European species in aquatic and terrestrial habitats. To study the phylogeography of freshwater invertebrates, patterns of intraspecific variation have been examined primarily using mitochondrial DNA markers that may yield results unrepresentative of the true species history. Here, population genetic parameters were inferred for a montane aquatic caddisfly, T hremma gallicum , by sequencing a 658‐bp fragment of the mitochondrial CO 1 gene, and 12,514 nuclear RAD loci. T . gallicum has a highly disjunct distribution in southern and central Europe, with known populations in the Cantabrian Mountains, Pyrenees, Massif Central, and Black Forest. Both datasets represented rangewide sampling of T. gallicum . For the CO 1 dataset, this included 352 specimens from 26 populations, and for the RAD dataset, 17 specimens from eight populations. We tested 20 competing phylogeographic scenarios using approximate Bayesian computation (ABC ) and estimated genetic diversity patterns. Support for phylogeographic scenarios and diversity estimates differed between datasets with the RAD data favouring a southern origin of extant populations and indicating the Cantabrian Mountains and Massif Central populations to represent highly diverse populations as compared with the Pyrenees and Black Forest populations. The CO 1 data supported a vicariance scenario (north–south) and yielded inconsistent diversity estimates. Permutation tests suggest that a few hundred polymorphic RAD SNP s are necessary for reliable parameter estimates. Our results highlight the potential of RAD and ABC‐based hypothesis testing to complement phylogeographic studies on non‐model species.
Little work has been done on large-scale patterns of stream insect richness in China. We explored the influence of climatic and catchment-scale factors on stream insect (Ephemeroptera, Plecoptera, Trichoptera; EPT) richness across mid-latitude China. We assessed the predictive ability of climatic, catchment land cover and physical structure variables on genus richness of EPT, both individually and combined, in 80 mid-latitude Chinese streams, spanning a 3899-m altitudinal gradient. We performed analyses using boosted regression trees and explored the nature of their influence on richness patterns. The relative importance of climate, land cover, and physical factors on stream insect richness varied considerably between the three orders, and while important for Ephemeroptera and Plecoptera, latitude did not improve model fit for any of the groups. EPT richness was linked with areas comprising high forest cover, elevation and slope, large catchments and low temperatures. Ephemeroptera favoured areas with high forest cover, medium-to-large catchment sizes, high temperature seasonality, and low potential evapotranspiration. Plecoptera richness was linked with low temperature seasonality and annual mean, and high slope, elevation and warm-season rainfall. Finally, Trichoptera favoured high elevation areas, with high forest cover, and low mean annual temperature, seasonality and aridity. Our findings highlight the variable role that catchment land cover, physical properties and climatic influences have on stream insect richness. This is one of the first studies of its kind in Chinese streams, thus we set the scene for more in-depth assessments of stream insect richness across broader spatial scales in China, but stress the importance of improving data availability and consistency through time.
Species recognition in lichen-forming fungi has been a challenge because of unsettled species concepts, few taxonomically relevant traits, and limitations of traditionally used morphological and chemical characters for identifying closely related species. Here we analyze species diversity in the cosmopolitan genus Protoparmelia s.l. The ~25 described species in this group occur across diverse habitats from the boreal -arctic/alpine to the tropics, but their relationship to each other remains unexplored. In this study, we inferred the phylogeny of 18 species currently assigned to this genus based on 160 specimens and six markers: mtSSU, nuLSU, ITS, RPB1, MCM7, and TSR1. We assessed the circumscription of species-level lineages in Protoparmelia s. str. using two coalescent-based species delimitation methods – BP&P and spedeSTEM. Our results suggest the presence of a tropical and an extra-tropical lineage, and eleven previously unrecognized distinct species-level lineages in Protoparmelia s. str. Several cryptic lineages were discovered as compared to phenotype-based species delimitation. Many of the putative species are supported by geographic evidence.
Ceraceosorus bombacis is an early-diverging lineage of smut fungi and a pathogen of cotton trees (Bombax ceiba). To study the evolutionary genomics of smut fungi in comparison with other fungal and oomycete pathogens, the genome of C. bombacis was sequenced and comparative genomic analyses were performed. The genome of 26.09 Mb encodes for 8,024 proteins, of which 576 are putative-secreted effector proteins (PSEPs). Orthology analysis revealed 30 ortholog PSEPs among six Ustilaginomycotina genomes, the largest groups of which are lytic enzymes, such as aspartic peptidase and glycoside hydrolase. Positive selection analyses revealed the highest percentage of positively selected PSEPs in C. bombacis compared with other Ustilaginomycotina genomes. Metabolic pathway analyses revealed the absence of genes encoding for nitrite and nitrate reductase in the genome of the human skin pathogen Malassezia globosa, but these enzymes are present in the sequenced plant pathogens in smut fungi. Interestingly, these genes are also absent in cultivable oomycete animal pathogens, while nitrate reductase has been lost in cultivable oomycete plant pathogens. Similar patterns were also observed for obligate biotrophic and hemi-biotrophic fungal and oomycete pathogens. Furthermore, it was found that both fungal and oomycete animal pathogen genomes are lacking cutinases and pectinesterases. Overall, these findings highlight the parallel evolution of certain genomic traits, revealing potential common evolutionary trajectories among fungal and oomycete pathogens, shaping the pathogen genomes according to their lifestyle.
The ancestors to the Australian marsupials entered Australia around 60 (54-72) million years ago from Antarctica, and radiated into the four living orders Peramelemorphia, Dasyuromorphia, Diprotodontia and Notoryctemorphia. The relationship between the four Australian marsupial orders has been a long-standing question, because different phylogenetic studies were not able to consistently reconstruct the same topology. Initial in silico analysis of the Tasmanian devil genome and experimental screening in the seven marsupial orders revealed 20 informative transposable element insertions for resolving the inter- and intraordinal relationships of Australian and South American orders. However, the retrotransposon insertions support three conflicting topologies regarding Peramelemorphia, Dasyuromorphia and Notoryctemorphia, indicating that the split between the three orders may be best understood as a network. This finding is supported by a phylogenetic re-analysis of nuclear gene sequences, using a consensus network approach that allows depicting hidden phylogenetic conflict, otherwise lost when forcing the data into a bifurcating tree. The consensus network analysis agrees with the transposable element analysis in that all possible topologies regarding Peramelemorphia, Dasyuromorphia, and Notoryctemorphia in a rooted four-taxon topology are equally well supported. In addition, retrotransposon insertion data supports the South American order Didelphimorphia being the sistergroup to all other living marsupial orders. The four Australian orders originated within three million years at the Cretaceous-Paleogene boundary. The rapid divergences left conflicting phylogenetic information in the genome possibly generated by incomplete lineage sorting or introgressive hybridisation, leaving the relationship among Australian marsupial orders unresolvable as a bifurcating process million years later.
Municipal wastewater contains nutrients valuable for a reuse in agriculture and can be the source of a multitude of chemicals used in private households and industry, too. As many of these chemicals are incompletely degraded during wastewater treatment, their residues remain partly in sewage sludge and partly in treated wastewater. Concerns are linked particularly to the so called micropollutants, i.e. anthropogenic organic substances such as personal care products, pharmaceuticals and biocides, for which scarce data on their degradability and environmental fate and particularly on their ecotoxicity are available. Thus, when reusing treated wastewater and sewage sludge for irrigation or as soil amendment for a sustainable land and water management, these wastewater-borne pollutants may enter soil, groundwater and surface water. The present work therefore aimed at assessing potential ecotoxic effects on aquatic and terrestrial organisms of reusing treated wastewater and sewage sludge. To this end, established as well as newly developed experimental approaches were used to investigate the problem on several levels. Individual wastewater-borne substances, samples from field study sites and samples from a soil column experiment simulating prolonged wastewater irrigation were examined.
At the start of the experimental work, the ecotoxicity of climbazole was characterised towards five aquatic and five terrestrial test organisms. Climbazole is an azole antimycotic agent applied in cosmetics and anti-dandruff shampoos and was recently detected in relatively high concentrations in treated wastewater and sewage sludge. In the present work climbazole was found to be particularly toxic towards plants such as water lentils with effective concentrations comparable to those of agricultural azole fungicides. Dwarfism, that is reduced shoot elongation observed in plants, pointed at a specific, phytohormone inhibiting mode of action of climbazole. Furthermore, the expected influence of the soil pH on the phytotoxicity of climbazole was experimentally confirmed.
Based on the findings for climbazole, two additional azole antimycotics, ketoconazole and fluconazole, and the regularly in sewage sludge detected biocide benzyldimethyldodecyl-ammonium chloride (BDDA) were investigated for their toxicity towards plants.
In aqueous medium, an increasing phytotoxicity from fluconazole to BDDA, ketoconazole and climbazole was observed, while in soil, phytotoxicity increased from BDDA to ketoconazole, climbazole and fluconazole. The relatively low terrestrial toxicity of BDDA and ketoconazole probably resulted from their strong binding to soil as well as their good biodegradability. To render the exposure scenario more realistic, sewage sludge was co-applied with the four test substances in a parallel test run. However, as no detectable influence on their effective concentrations was found, it can be assumed that the current practice of assessing sewage sludge borne substances with biotests in standard soil is sufficiently realistic. In a further study, different advanced sludge-treatment technologies were assessed for their efficacy in reducing pollutants. Results from the present work indicated that effects assessed in terrestrial short term biotests only seldom correlated with the concentrations of certain pollutants. Rather, a negative correlation of the stability of the sludges, determined by the ratio of volatile to total solids, to their ecotoxicity was seen.
Another aspect of the present work was the design and performance of an experimental approach to assess the environmental risk of a long-term irrigation with treated wastewater concerning the quality of soil and water in a prospective way, i.e. before the installation at field scale. For the simulation of a continuous irrigation corresponding to approximately 30 years, a percolation apparatus was developed and four different soils were percolated with treated wastewater for three months. Acute and chronic biotests with nine test organisms from different trophic levels (green algae, water lentils and water fleas as well as oilseed rape, oats, bacteria, spring tails, enchytraeids and earthworms) were used to assess the soil percolates as well as the soils with and without percolation. These investigations were accompanied by a comprehensive chemical monitoring conducted by project partners. Results indicated that the soil passage, that is the percolation through the soil, generally improved the quality of the treated wastewater as habitat for aquatic organisms which was visible by a reduction of its phytotoxicity. However, in some cases it deteriorated the water quality, probably resulting from the leaching of metals from pre-contaminated soil. A deteriorated habitat quality of the soil after the percolation with treated wastewater was observed for several test organisms and soils. In the same, mainly peaty soils, the highest accumulation of wastewater-borne micropollutants and of zinc was measured. Yet, their concentrations did not correlate to the observed biological effects. Moreover, data on ecotoxicity were only available for a small fraction of the detected substances so that their concentrations could not successfully be used to predict expected biological effects.
The experimental approach used in the present work demonstrated to be an adequate tool to support the prospective evaluation of environmental risks of treated wastewater irrigation. Overall, it can be concluded that the reuse of treated wastewater on soil can improve the quality of treated wastewater but that this can come at the cost of deteriorating the quality of the soil. As these risks cannot be generalised, a comprehensive biotest battery as well as chemical analysis should be used to assess them on a case-specific basis for each respective wastewater and the respective soil.
Songs in passerine birds are important for territory defense and mating. Speciation rates in oscine passerines are so high, due to cultural evolution, that this bird lineage makes up half of the extant bird species. Leaf warblers are a speciose Old-World passerine family of limited morphological differentiation, so that songs are even more important for species delimitation. We took 16 sonographic traits from song recordings of 80 leaf warbler taxa and correlated them with 15 potentially explanatory variables, pairwise, and in linear models. Based on a well-resolved molecular phylogeny of the same taxa, all pairwise correlations were corrected for relatedness with phylogenetically independent contrasts and phylogenetic generalized linear models were used. We found a phylogenetic signal for most song traits, but a strong one only for the duration of the longest and of the shortest element, which are presumably inherited instead of learned. Body size of a leaf warbler species is a constraint on song frequencies independent of phylogeny. At least in this study, habitat density had only marginal impact on song features, which even disappeared through phylogenetic correction. Maybe most leaf warblers avoid the deterioration through sound propagation in dense vegetation by singing from exposed perches. Latitudinal (and longitudinal) extension of the breeding ranges was correlated with most song features, especially verse duration (longer polewards and westwards) and complexity (lower polewards). Climate niche or expansion history might explain these correlations. The number of different element types per verse decreases with elevation, possibly due to fewer resources and congeneric species at higher elevations.
Plant communities provide floral resource-landscapes for pollinators. Yet, it is insufficiently understood how these landscapes shape pollinator-mediated interactions among multiple plant species. Here, we study how pollinators and the seed set of plants respond to the distribution of a floral resource (nectar sugar) in space and across plant species, inflorescences and flowering phenologies. In a global biodiversity hotspot, we quantified floral resource-landscapes on 27 sites of 4 ha comprising 127,993 shrubs of 19 species. Visitation rates of key bird pollinators strongly depended on the phenology of site-scale resource amounts. Seed set of focal plants increased with resources of conspecific neighbours and with site-scale resources, notably with heterospecific resources of lower quality (less sugar per inflorescence). Floral resources are thus a common currency determining how multiple plant species interact via pollinators. These interactions may alter conditions for species coexistence in plant communities and cause community-level Allee effects that promote extinction cascades.