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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of CHC profiles resembling those of their female host) have been described in some representatives of the family and unpublished evidence suggests chemical deception is widespread in Chrysididae (Chapter 2).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.
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.
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.
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.
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.
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.
Polyploid genomes present a challenge for cytogenetic and genomic studies, due to the high number of similar size chromosomes and the simultaneous presence of hardly distinguishable paralogous elements. The karyotype of the Siberian sturgeon (Acipenser baerii) contains around 250 chromosomes and is remarkable for the presence of paralogs from two rounds of whole-genome duplications (WGD). In this study, we applied the sterlet-derived acipenserid satDNA-based whole chromosome-specific probes to analyze the Siberian sturgeon karyotype. We demonstrate that the last genome duplication event in the Siberian sturgeon was accompanied by the simultaneous expansion of several repetitive DNA families. Some of the repetitive probes serve as good cytogenetic markers distinguishing paralogous chromosomes and detecting ancestral syntenic regions, which underwent fusions and fissions. The tendency of minisatellite specificity for chromosome size groups previously observed in the sterlet genome is also visible in the Siberian sturgeon. We provide an initial physical chromosome map of the Siberian sturgeon genome supported by molecular markers. The application of these data will facilitate genomic studies in other recent polyploid sturgeon species.
Cooperative Breeding in the Ambrosia Beetle Xyleborus affinis and Management of Its Fungal Symbionts
(2020)
Fungus-farming is known from attine ants, macrotermites, and ambrosia beetles (Scolytinae, Platypodinae). Farming ant and termite societies are superorganismal and grow fungal cultivars in monocultures. Social organization of ambrosia beetle groups and their farming systems are poorly studied, because of their enigmatic life within tunnel systems inside of wood. Ambrosia beetle-fungus symbioses evolved many times independently in both the beetles and their fungal cultivars. Observations suggest that there is evolutionary convergence between these lineages, but also a high variation in the degree of sociality and the modes of fungiculture. Using a laboratory observation technique, I here tried to give insights into the social system and fungus symbiosis of the sugar-cane borer, Xyleborus affinis Eichhoff (Scolytinae: Curculionidae), a currently poorly studied ambrosia beetle. The study revealed a cooperatively breeding system characterized by delayed dispersal of adult daughters, alloparental brood care by larvae and adults, and about half of the totipotent adult daughters laying eggs within the natal nest. Most interesting, there was a tendency of egg-laying females to engage more commonly in mutually beneficial behaviors than non-egg-layers. Fungus gardens covering gallery walls composed of five different filamentous fungi. A Raffaelea isolate was predominant and together with an unidentified fungus likely served as the main food for adults and larvae. Three isolates, a Mucor, a Fusarium and a Phaeoacremonium isolate were most abundant in the oldest gallery part close to the entrance; Mucor, Fusarium and the Raffaelea isolate in diseased individuals. Additionally, there was correlative evidence for some fungal isoaltes influencing beetle feeding and hygienic behaviors. Overall, X. affinis is now the second ambrosia beetle that can be classified as a cooperative breeder with division of labor among and between adults and larvae.
The fruit fly Drosophila melanogaster is an established model organism in chronobiology, because genetic manipulation and breeding in the laboratory are easy. The circadian clock neuroanatomy in D. melanogaster is one of the best-known clock networks in insects and basic circadian behavior has been characterized in detail in this insect. Another model in chronobiology is the honey bee Apis mellifera, of which diurnal foraging behavior has been described already in the early twentieth century. A. mellifera hallmarks the research on the interplay between the clock and sociality and complex behaviors like sun compass navigation and time-place-learning. Nevertheless, there are aspects of clock structure and function, like for example the role of the clock in photoperiodism and diapause, which can be only insufficiently investigated in these two models. Unlike high-latitude flies such as Chymomyza costata or D. ezoana, cosmopolitan D. melanogaster flies do not display a photoperiodic diapause. Similarly, A. mellifera bees do not go into “real” diapause, but most solitary bee species exhibit an obligatory diapause. Furthermore, sociality evolved in different Hymenoptera independently, wherefore it might be misleading to study the social clock only in one social insect. Consequently, additional research on non-model insects is required to understand the circadian clock in Diptera and Hymenoptera. In this review, we introduce the two chronobiology model insects D. melanogaster and A. mellifera, compare them with other insects and show their advantages and limitations as general models for insect circadian clocks.
Post-embryonic Development of the Circadian Clock Seems to Correlate With Social Life Style in Bees
(2020)
Social life style can influence many aspects of an animal’s daily life, but it has not yet been clarified, whether development of the circadian clock in social and solitary living bees differs. In a comparative study, with the social honey bee, Apis mellifera, and the solitary mason bee, Osmia bicornis, we now found indications for a differentially timed clock development in social and solitary bees. Newly emerged solitary bees showed rhythmic locomotion right away and the number of neurons in the brain that produce the clock component pigment-dispersing factor (PDF) did not change during aging of the adult solitary bee. Honey bees on the other hand, showed no circadian locomotion directly after emergence and the neuronal clock network continued to grow after emergence. Social bees appear to emerge at an early developmental stage at which the circadian clock is still immature, but bees are already able to fulfill in-hive tasks.
The honeybee is a well studied and important organism in neuroethology. The possibility to train them with a classical conditioning paradigm and their miniature brain provide a perfect requisite to investigate the neuronal principles of learning and memory. Honeybees use visual and olfactory cues to detect flowers during their foraging trips. Hence, the reward association of a nectar source is a multi-modal construct, which has at least two major components - olfactory and visual cues. It is still an open question, how both sensory components are converged in the mushroom body, which represent the multi-modal integration centre of the honeybee brain. The main goal of this study, is to investigate the processing of multiple modalities and how a reward association is formed. This includes, how and wether both sensory modalities interfere during learning. Thus, in this study stimulation with UV, blue and green light was used to evoke distinct photoreceptor activities in the compound eye. Furthermore, three different odours (Geraniol, Citronellol and Farnesol) were used. These stimuli were tested in three different experimental series. The first experiment involved classical differential conditioning of the single modalities - odour and colour. Honeybees showed high learning performances in differentiating olfactory stimuli and also reliable responses for visual conditioning. Furthermore, a temporal discrepancy in the stimulus length for best learning in the olfatcoty and visual cues was found. In the second series, it was tested how multi-modal compounds are perceived. This includes, unique cues (configural processing) or the sum of the single components of a compound (elemen- tal processing). This was tested by combining single odour components with monochromatic light in a positive (PP) and negative patterning (NP) experiment. During PP, the olfactory- visual compound was rewarded, whereas the single components were unrewarded. In contrast, during NP the single components were reinforced, but the compound was not. In addition, the ability to distinguish between two different light stimuli presented as a part of an olfactory-visual compound with the same odour component during acquisition was tested. In a memory test, the light stimuli were presented again as a compound and in addition as the single components. The results revealed that bees used elemental processing with compounds containing green and blue light. In contrast, when UV light was presented the bees used configural processing. Finally, a third experiment was conducted at the neuronal level. Multi-unit recordings were established to provide a suitable method to analyse extrinsic neurons at the mushroom body output region, the so called ventral lobe of the pedunculus. Here, three different odours (Geran- iol, Farnesol and Citronellol), two colours (green and blue) and two combined stimuli (colour + odour) were chosen as stimuli, to search for possible variations in processing stimuli with different modalities. Two units could be detected that responded mainly to visual stimuli.
To improve and focus preclinical testing, we combine tumor models based on a decellularized tissue matrix with bioinformatics to stratify tumors according to stage-specific mutations that are linked to central cancer pathways. We generated tissue models with BRAF-mutant colorectal cancer (CRC) cells (HROC24 and HROC87) and compared treatment responses to two-dimensional (2D) cultures and xenografts. As the BRAF inhibitor vemurafenib is—in contrast to melanoma—not effective in CRC, we combined it with the EGFR inhibitor gefitinib. In general, our 3D models showed higher chemoresistance and in contrast to 2D a more active HGFR after gefitinib and combination-therapy. In xenograft models murine HGF could not activate the human HGFR, stressing the importance of the human microenvironment. In order to stratify patient groups for targeted treatment options in CRC, an in silico topology with different stages including mutations and changes in common signaling pathways was developed. We applied the established topology for in silico simulations to predict new therapeutic options for BRAF-mutated CRC patients in advanced stages. Our in silico tool connects genome information with a deeper understanding of tumor engines in clinically relevant signaling networks which goes beyond the consideration of single drivers to improve CRC patient stratification.
Comparison of the central human and mouse platelet signaling cascade by systems biological analysis
(2020)
Background
Understanding the molecular mechanisms of platelet activation and aggregation is of high interest for basic and clinical hemostasis and thrombosis research. The central platelet protein interaction network is involved in major responses to exogenous factors. This is defined by systemsbiological pathway analysis as the central regulating signaling cascade of platelets (CC).
Results
The CC is systematically compared here between mouse and human and major differences were found. Genetic differences were analysed comparing orthologous human and mouse genes. We next analyzed different expression levels of mRNAs. Considering 4 mouse and 7 human high-quality proteome data sets, we identified then those major mRNA expression differences (81%) which were supported by proteome data. CC is conserved regarding genetic completeness, but we observed major differences in mRNA and protein levels between both species. Looking at central interactors, human PLCB2, MMP9, BDNF, ITPR3 and SLC25A6 (always Entrez notation) show absence in all murine datasets. CC interactors GNG12, PRKCE and ADCY9 occur only in mice. Looking at the common proteins, TLN1, CALM3, PRKCB, APP, SOD2 and TIMP1 are higher abundant in human, whereas RASGRP2, ITGB2, MYL9, EIF4EBP1, ADAM17, ARRB2, CD9 and ZYX are higher abundant in mouse. Pivotal kinase SRC shows different regulation on mRNA and protein level as well as ADP receptor P2RY12.
Conclusions
Our results highlight species-specific differences in platelet signaling and points of specific fine-tuning in human platelets as well as murine-specific signaling differences.
Aim: Despite increasing interest in β-diversity, that is the spatial and temporal turnover of species, the mechanisms underlying species turnover at different spatial scales are not fully understood, although they likely differ among different functional groups. We investigated the relative importance of dispersal limitations and the environmental filtering caused by vegetation for local, multi-taxa forest communities differing in their dispersal ability, trophic position and body size.
Location: Temperate forests in five regions across Germany.
Methods: In the inter-region analysis, the independent and shared effects of the regional spatial structure (regional species pool), landscape spatial structure (dispersal limitation) and environmental factors on species turnover were quantified with a 1-ha grain across 11 functional groups in up to 495 plots by variation partitioning. In the intra-region analysis, the relative importance of three environmental factors related to vegetation (herb and tree layer composition and forest physiognomy) and spatial structure for species turnover was determined.
Results: In the inter-region analysis, over half of the explained variation in community composition (23% of the total explained 35%) was explained by the shared effects of several factors, indicative of spatially structured environmental filtering. Among the independent effects, environmental factors were the strongest on average over 11 groups, but the importance of landscape spatial structure increased for less dispersive functional groups. In the intra-region analysis, the independent effect of plant species composition had a stronger influence on species turnover than forest physiognomy, but the relative importance of the latter increased with increasing trophic position and body size.
Main conclusions: Our study revealed that the mechanisms structuring assemblage composition are associated with the traits of functional groups. Hence, conservation frameworks targeting biodiversity of multiple groups should cover both environmental and biogeographical gradients. Within regions, forest management can enhance β-diversity particularly by diversifying tree species composition and forest physiognomy.
Chlamydia trachomatis is the main cause of sexually transmitted diseases worldwide. As obligate intracellular bacteria Chlamydia replicate in a membrane bound vacuole called inclusion and acquire nutrients for growth and replication from their host cells. However, like all intracellular bacteria, Chlamydia have to prevent eradication by the host's cell autonomous system. The chlamydial deubiquitinase Cdu1 is secreted into the inclusion membrane, facing the host cell cytosol where it deubiquitinates cellular proteins. Here we show that inactivation of Cdu1 causes a growth defect of C. trachomatis in primary cells. Moreover, ubiquitin and several autophagy receptors are recruited to the inclusion membrane of Cdu1‐deficient Chlamydia . Interestingly, the growth defect of cdu1 mutants is not rescued when autophagy is prevented. We find reduced recruitment of Golgi vesicles to the inclusion of Cdu1 mutants indicating that vesicular trafficking is altered in bacteria without active deubiquitinase (DUB). Our work elucidates an important role of Cdu1 in the functional preservation of the chlamydial inclusion surface.