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Amphibians evolved in the Devonian period about 400 Mya and represent a transition step in tetrapod evolution. Among amphibians, high-throughput sequencing data are very limited for Caudata, due to their largest genome sizes among terrestrial vertebrates. In this paper we present the transcriptome from the fire bellied newt Cynops orientalis. Data here presented display a high level of completeness, comparable to the fully sequenced genomes available from other amphibians. Moreover, this work focused on genes involved in gametogenesis and sexual development. Surprisingly, the gsdf gene was identified for the first time in a tetrapod species, so far known only from bony fish and basal sarcopterygians. Our analysis failed to isolate fgf24 and foxl3, supporting the possible loss of both genes in the common ancestor of Rhipidistians. In Cynops, the expression analysis of genes described to be sex-related in vertebrates singled out an expected functional role for some genes, while others displayed an unforeseen behavior, confirming the high variability of the sex-related pathway in vertebrates.
Increasing natural pest control in agricultural fields is an important aim of ecological intensification. Combined effects of landscape context and local placement of agri‐environmental schemes (AES) on natural pest control and within‐field distance functions of natural pest control agents have rarely been addressed but might affect the distribution of biocontrol providers. Importantly, it is currently unknown whether ecosystem services provided by adjacent AES are consistent for different crop types during crop rotation.
In this study, we assessed whether crop rotation from oilseed rape to cereals altered within‐field distance functions of ground‐dwelling predators from adjacent agri‐environmental fields along a gradient in landscape context. Additionally, we recorded crop pests, predation rates, parasitoids as well as crop yields on a total of 30 study sites.
Distance functions varied between trophic levels: Carabid richness decreased while densities of carabid beetles, staphylinid beetles as well as crop yields increased towards the field centres. Distance functions of parasitoids and pests were modulated by the amount of semi‐natural habitat in the surrounding landscape, while the effects of adjacent AES were limited.
Distance decay functions found for ground‐dwelling predators in oilseed rape in the previous year were not always present in cereals. Increasing distance to the field edge also increased effects of crop rotation on carabid beetle assemblages, indicating a source habitat function of field edges.
Synthesis and applications. Distance functions of natural pest control are not universal and the effects of agri‐environmental schemes (AES) in different adjacent crops during crop rotation vary and depend on ecological contrasts. A network of semi‐natural habitats and spatially optimized AES habitats can benefit pest control in agricultural landscapes, but constraints as a result of crop type need to be addressed by annually targeted, spatially shifting agri‐environment schemes for different crops.
Plants may use different strategies to attract pollinators in long distance (e.g. floral display) and in short distance (e.g. ratio between differentially colored flowers) scales. The Verbenaceae Lantana canescens Kunth is a wide spread species in open sites of the Brazilian Pantanal wetland. Individuals of this generalist species can produce a variable number of open inflorescences with yellow and white flowers that are organized in whorls. In this study we tested the hypothesis that increased floral display (long distance attraction) and the ratio between yellow and white flowers (short distance attraction) enhances the number of pollinator species and individuals. We observed flower visitors and calculated floral parameters in 38 plots of 1 m2 each, that contained a varying number of flowering L. canescens individuals. Non-metric multidimensional scaling and Bray-Curtis distances were used to account for flower visitor composition and the relative visitation rate, respectively. We used a structural equation model to test the power of each predictor variable on the visitation rate and a covariance analysis to disentangle the effect of each independent variable on the frequency of plant-pollinator interactions. We found that the number of flower visitors and the visitation rate increased with increasing number of inflorescences. Disentangling long and short distance attraction indicated that the number of inflorescences (per plot) and the number of yellow flowers (yellowing effect) contributed most to flower visitation at long and short distance, respectively.
Head and neck squamous cell carcinoma (HNSCC) is known to overexpress a variety of receptor tyrosine kinases, such as the HGF receptor Met. Like other malignancies, HNSCC involves a mutual interaction between the tumor cells and surrounding tissues and cells. We hypothesized that activation of HGF/Met signaling in HNSCC influences glucose metabolism and therefore substantially changes the tumor microenvironment. To determine the effect of HGF, we submitted three established HNSCC cell lines to mRNA sequencing. Dynamic changes in glucose metabolism were measured in real time by an extracellular flux analyzer. As expected, the cell lines exhibited different levels of Met and responded differently to HGF stimulation. As confirmed by mRNA sequencing, the level of Met expression was associated with the number of upregulated HGF-dependent genes. Overall, Met stimulation by HGF leads to increased glycolysis, presumably mediated by higher expression of three key enzymes of glycolysis. These effects appear to be stronger in Met\(^{high}\)-expressing HNSCC cells. Collectively, our data support the hypothesized role of HGF/Met signaling in metabolic reprogramming of HNSCC.
Mapping human pressures on biodiversity across the planet uncovers anthropogenic threat complexes
(2020)
Climate change and other anthropogenic drivers of biodiversity change are unequally distributed across the world. Overlap in the distributions of different drivers have important implications for biodiversity change attribution and the potential for interactive effects. However, the spatial relationships among different drivers and whether they differ between the terrestrial and marine realm has yet to be examined.
We compiled global gridded datasets on climate change, land‐use, resource exploitation, pollution, alien species potential and human population density. We used multivariate statistics to examine the spatial relationships among the drivers and to characterize the typical combinations of drivers experienced by different regions of the world.
We found stronger positive correlations among drivers in the terrestrial than in the marine realm, leading to areas with high intensities of multiple drivers on land. Climate change tended to be negatively correlated with other drivers in the terrestrial realm (e.g. in the tundra and boreal forest with high climate change but low human use and pollution), whereas the opposite was true in the marine realm (e.g. in the Indo‐Pacific with high climate change and high fishing).
We show that different regions of the world can be defined by Anthropogenic Threat Complexes (ATCs), distinguished by different sets of drivers with varying intensities. We identify 11 ATCs that can be used to test hypotheses about patterns of biodiversity and ecosystem change, especially about the joint effects of multiple drivers.
Our global analysis highlights the broad conservation priorities needed to mitigate the impacts of anthropogenic change, with different priorities emerging on land and in the ocean, and in different parts of the world.
Cuticular hydrocarbons (CHC) abound on the surface of arthropods. In spite of their simple structure (molecules of carbon and hydrogen atoms), they provide pivotal functions in insects: their hydrophobic properties confer the insects a means to regulate water balance and avoid desiccation, whereas their diversity has enhanced their use as signals and cues in a wide range of communication and recognition processes. Although the study of CHC in insects over the past two decades has provided great insight into the wide range of functions they play, there is still a gap in understanding how they diversify and evolve. In this thesis, I have used members of the family Chrysididae to explore patterns of diversification of CHC. Most of the species of cuckoo wasps in this study are specialized parasitoids or kleptoparasites of mainly solitary hymenopteran hosts. Other hosts of the family include butterflies or stick insects. Cuckoo wasps are a particular interesting model to study the evolution of cuticular hydrocarbons because of their chemical adaptations that allow them to remain unrecognized by their hosts. Chemical insignificance (the reduction of the total amount of CHC on the cuticle) and chemical mimicry (the de novo production of CHC profiles resembling those of their female host) have been described in some representatives of the family and unpublished evidence suggests chemical deception is widespread in Chrysididae (Chapter 2). Nonetheless, to trace the evolution of any trait of interest, a reliable phylogenetic reconstruction of the family is required. Therefore, the first study of this thesis constitutes the largest and to-date most reliable phylogenetic reconstruction of the family Chrysididae, which includes representatives of 186 species of cuckoo wasps. While the results of this phylogenetic reconstruction are consistent with previous ideas on the relationships of subfamilies and tribes, it shows the existence of several non-monophyletic genera (Chapter 3). CHC are involved in intraspecific recognition, often acting as contact sex pheromones. Nevertheless, it is not yet understood to what extent CHC profiles differ between the two sexes and whether some compound classes are more prevalent in one or the other sex. So far, no comparison of CHC profiles of males and females has been done for more than a dozen of related species. In Chapter 4, I describe and compare CHC profiles of females and males of 58 species of cuckoo wasps in order to evaluate whether and to what extent CHC profiles of these species differ between the sexes. I demonstrated that CHC profiles of cuckoo wasps are frequently (more than 90% of the species analyzed) and strongly dimorphic (both sexes of a given species tend to produce very different CHC compounds). Methyl-branched compounds tend to be more prevalent in males (especially dimethyl-branched compounds) and unsaturated compounds prevail in females. Moreover, a sex-specific pattern in the distribution of the double bond position of alkenes was evident: internal double bond positions (> 11) occur predominantly in males, whereas alkenes with the doublé bond at position 9 were more abundant and frequent in females (Chapter4). In Chapter5, I investigated how CHC profiles of cuckoo wasps differ across species. Are CHC profiles of cuckoo wasps species-specific, enabling their use as cues for species recognition? How do CHC profiles resemble phylogenetic relatedness? In Chapter 5, I try to answer these questions by comparing CHC profiles of 59 species of cuckoo wasps. CHC profiles of cuckoo wasps are shown to be species (and sex-) specific. I show that CHC profiles are useful as a complementary tool to help delimiting taxonomically difficult sibling species. Moreover, the evaluation of CHC profiles of five commonly occurring species within a genus, showed little or no geographical variation. However, CHC profiles of closely related species may differ strongly among each other, not being useful to track the evolutionary history of species (Chapter 5). Sexual selection is generally credited for generating striking sexual dimorphism by causing changes in male traits. Most often, sexual selection has a stronger effect on males, who compete for access to and may be selected by females, thus male traits may rapidly evolve. Nevertheless, in cuckoo wasps, it appears that it is the female sex the one evolving faster changes, with females of very closely related species showing extremely divergent profiles. One plausible reason for this disparity is that natural selection acting on female’s CHC profiles may be stronger than sexual selection on males (Chapter 6). Since females of cuckoo wasps are most probably engaged in an evolutionary arms race with their female hosts, CHC profiles of female cuckoo wasps are likely rapidly evolving, thus explaining part of the strong observed sexual dimorphism of CHC (Chapter 6). In fact, Chapter 7 shows evidence of a possible ongoing evolutionary arms race between five cuckoo wasps of the genus Hedychrum and their hosts. Hedychrum species parasitize either Coleoptera-hunting or Hymenoptera-hunting digger wasps. Since the coleopteran prey of the former digger wasps is naturally better protected against fungus infestation, these wasps do not embalm their prey with alkene-enriched secretions as do the Hymenoptera-hunting digger wasps. Thus, Coleoptera-hunting digger wasps can apparently diversify their profiles to escape chemical mimicry. Interestingly, only female cuckoo wasps of these hosts have started producing the same compound classes and even the same CHC compounds as those of their hosts. Male cuckoo wasps, however retain an alkene-enriched CHC profile that reflects the molecular phylogeny of the genus (Chapter 7). Whereas, a larger number of parasite-host comparisons may be needed to further conclude that an arms race between cuckoo wasps and their hosts is capable of generating sexual dimorphism of cuckoo wasps, this thesis constitutes the first effort towards this, providing a starting point for further studies. Finally, I provide some methodological tools that may help in speeding up the sometimes cumbersome process of analyzing and identifying CHC profiles. One of the most time-demanding steps in the processing of CHC data is the alignment of CHC chromatograms. This process is often done manually, because alignment programs are mostly designed for metabolomics or are just recently being developed. I analyzed CHC profiles using a combined approach with two freely available programs. I used AMDIS (Automated Mass Spectral Deconvolution and Identification System, http://chemdata.nist.gov/mass-spc/amdis/) to deconvolute and automatically identify all CHC of interest present in a chromatogram. I then developed a series of R scripts to correct for potential, unavoidable errors while processing CHC chromatograms with AMDIS. Chapter 8 explains this procedure. In the next chapter, I developed a program that helps in the identification of one commonly occurring class of hydrocarbons. The limited number of linear alkanes (only one per carbon atom) and their characteristic diagnostic ion allows a rapid and unambigous identification of these substances. In opposition, unsaturated and methyl-branched compounds are more difficult to identify, as a result of the much larger diversity of existing compounds. To identify unsaturated compounds a derivatization is necessary to determine the position of the double bond. Methyl-branched alkanes, however can be identified from the original chromatogram if their diagnostic ions are known. Nonetheless, polymethyl-branched alkanes (e.g., compounds with two or more methyl groups along the chain) are often difficult to identify, because they may appear in mixes (e.g., 3,7 diMeC27 and 3,9 diMeC27), and tables containing the diagnostic ions are not easily available. Therefore, I developed a program that creates a table with all possiblemethyl-branched compounds containing up to 4 methyl groups, and that provides their diagnostic ions and a calculated retention index. This may allow a much faster identification of the methyl-branched compound a researcher is dealing with, without having to lose time in the tedious calculations by hand. The program is able to correctly identify, or at least, greatly reduce the number of possible options for the identification of an unknown methyl-branched compound. Thus, using this tool, most methyl-branched compounds can be readily identified (Chapter 9). This thesis ends with a general discussion (Chapter 10). Overall, this work provides a comprehensive overview of the diversity of cuticular hydrocarbons of cuckoo wasps. The analyses presented here shed light on the emergence and evolution of interspecific diversity and intraspecific sexual dimorphism of CHC profiles. In addition, two technical methods have been developed that could greatly facilitate the CHC analysis of insects.
Traps baited with attractive lures are increasingly used at entry-points and surrounding natural areas to intercept exotic wood-boring beetles accidentally introduced via international trade. Several trapping variables can affect the efficacy of this activity, including trap color. In this study, we tested whether species richness and abundance of jewel beetles (Buprestidae), bark and ambrosia beetles (Scolytinae), and their common predators (i.e., checkered beetles, Cleridae) can be modified using trap colors different to those currently used for surveillance of jewel beetles and bark and ambrosia beetles (i.e., green or black). We show that green and black traps are generally efficient, but also that many flower-visiting or dark-metallic colored jewel beetles and certain bark beetles are more attracted by other colors. In addition, we show that checkered beetles have color preferences similar to those of their Scolytinae preys, which limits using trap color to minimize their inadvertent removal. Overall, this study confirmed that understanding the color perception mechanisms in wood-boring beetles can lead to important improvements in trapping techniques and thereby increase the efficacy of surveillance programs.
Specialization of plant-pollinator interactions increases with temperature at Mt. Kilimanjaro
(2020)
Aim: Species differ in their degree of specialization when interacting with other species, with significant consequences for the function and robustness of ecosystems. In order to better estimate such consequences, we need to improve our understanding of the spatial patterns and drivers of specialization in interaction networks.
Methods: Here, we used the extensive environmental gradient of Mt. Kilimanjaro (Tanzania, East Africa) to study patterns and drivers of specialization, and robustness of plant–pollinator interactions against simulated species extinction with standardized sampling methods. We studied specialization, network robustness and other network indices of 67 quantitative plant–pollinator networks consisting of 268 observational hours and 4,380 plant–pollinator interactions along a 3.4 km elevational gradient. Using path analysis, we tested whether resource availability, pollinator richness, visitation rates, temperature, and/or area explain average specialization in pollinator communities. We further linked pollinator specialization to different pollinator taxa, and species traits, that is, proboscis length, body size, and species elevational ranges.
Results: We found that specialization decreased with increasing elevation at different levels of biological organization. Among all variables, mean annual temperature was the best predictor of average specialization in pollinator communities. Specialization differed between pollinator taxa, but was not related to pollinator traits. Network robustness against simulated species extinctions of both plants and pollinators was lowest in the most specialized interaction networks, that is, in the lowlands.
Conclusions: Our study uncovers patterns in plant–pollinator specialization along elevational gradients. Mean annual temperature was closely linked to pollinator specialization. Energetic constraints, caused by short activity timeframes in cold highlands, may force ectothermic species to broaden their dietary spectrum. Alternatively or in addition, accelerated evolutionary rates might facilitate the establishment of specialization under warm climates. Despite the mechanisms behind the patterns have yet to be fully resolved, our data suggest that temperature shifts in the course of climate change may destabilize pollination networks by affecting network architecture.
Acromyrmex fracticornis grass-cutting ants construct conspicuous chimney-shaped nest turrets made of intermeshed grass fragments. We asked whether turrets are constructed by merely piling up nearby materials around the entrance, or whether ants incorporate different materials as the turret develops. By removing the original nest turrets and following their rebuilding process over three consecutive days, age-dependent changes in wall morphology and inner lining fabrics were characterized. Micromorphological descriptions based on thin sections of turret walls revealed the building behaviors involved. Ants started by collecting nearby twigs and dry grass fragments that are piled up around the nest entrance. Several large fragments held the structure like beams. As a net-like structure grew, soil pellets were placed in between the intermeshed plant fragments from the turret base to the top, reinforcing the structure. Concomitantly, the turret inner wall was lined with soil pellets, starting from the base. Therefore, the consolidation of the turret occurred both over time and from its base upwards. It is argued that nest turrets do not simply arise by the arbitrary deposition of nearby materials, and that workers selectively incorporate large materials at the beginning, and respond to the developing structure by reinforcing the intermeshed plant fragments over time.
Neutral sphingomyelinase-2 (NSM2) is a member of a superfamily of enzymes responsible for conversion of sphingomyelin into phosphocholine and ceramide at the cytosolic leaflet of the plasma membrane. Upon specific ablation of NSM2, T cells proved to be hyper-responsive to CD3/CD28 co-stimulation, indicating that the enzyme acts to dampen early overshooting activation of these cells. It remained unclear whether hyper-reactivity of NSM2-deficient T cells is supported by a deregulated metabolic activity in these cells. Here, we demonstrate that ablation of NSM2 activity affects metabolism of the quiescent CD4\(^+\) T cells which accumulate ATP in mitochondria and increase basal glycolytic activity. This supports enhanced production of total ATP and metabolic switch early after TCR/CD28 stimulation. Most interestingly, increased metabolic activity in resting NSM2-deficient T cells does not support sustained response upon stimulation. While elevated under steady-state conditions in NSM2-deficient CD4\(^+\) T cells, the mTORC1 pathway regulating mitochondria size, oxidative phosphorylation, and ATP production is impaired after 24 h of stimulation. Taken together, the absence of NSM2 promotes a hyperactive metabolic state in unstimulated CD4\(^+\) T cells yet fails to support sustained T cell responses upon antigenic stimulation.