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Der Verzehr von radioaktiv belasteten Pilzfruchtkörpern stellt ein Gesundheitsrisiko für den Menschen dar und auch fast 35 Jahre nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986 sind Pilze aus Waldökosystemen zum Teil noch stark durch das ausgetretene radioaktive 137Cs belastet. Die Einschätzung der Belastung und somit des Gesundheitsrisikos ist aufgrund einer Vielzahl von Einflussfaktoren, wie z. B. der Pilzart, der Tiefe des Myzels, der Bodenkontamination und der Feuchtigkeit des Bodens, schwierig. Ziel dieser Arbeit war es die Variabilität, den Einfluss verschiedener Faktoren sowie die effektive Halbwertszeit der 137Cs-Aktivität in Pilzfruchtkörpern zu ermitteln. Des Weiteren wurde überprüft, ob die Bodenkontamination für eine Abschätzung der 137Cs-Aktivität von Pilzfruchtkörpern herangezogen werden kann. Für die Untersuchungen wurden über mehrere Jahre Proben von Maronenröhrlingen (Imleria badia) und Steinpilzen (Boletus edulis) aus vier Waldgebieten in Mittel- und Süddeutschland mit unterschiedlichem Aktivitätseintrag nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986 analysiert. Die Gebiete waren Eichenzell, Wülfersreuth, Oberschönenfeld und der Nationalpark Bayerischer Wald. Als Ergänzung dienten zugesendete Proben derselben Pilzarten von Mitgliedern aus Pilzvereinen aus ganz Deutschland. Zusätzlich zu den Pilzproben wurden Bodenproben gemessen, um zum einen die aktuelle Bodenkontamination zu bestimmen und zum anderen zu überprüfen, ob der Großteil des 137Cs weiterhin im Bereich des Pilzmyzels zu finden ist.
Für die Untersuchung der örtlichen Variabilität der 137Cs-Aktivität wurden Maronenröhrlinge (Imleria badia) aus dem Waldgebiet Eichenzell in den Jahren 2017 bis 2019 analysiert. Innerhalb eines Sammeltages variierten die Messwerte verschiedener Proben innerhalb des Waldgebietes teilweise um den Faktor sechs. Dabei ist die Variabilität innerhalb eines Teilgebietes größer als zwischen beiden Teilgebieten des Waldgebietes Eichenzell. Für ein repräsentatives Ergebnis eines Gebietes ist es aufgrund der Variabilität erforderlich, eine ausreichende Menge an Fruchtkörpern zu analysieren.
Um die effektive Halbwertszeit der 137Cs-Aktivität in Maronenröhrlingen (Imleria badia) zu ermitteln, wurden Proben aus drei Waldgebieten über fünf bis neun Jahre analysiert. Die Wahl der drei Waldgebiete erfolgte anhand des 137Cs-Aktivitätseintrags nach der Reaktorkatastrophe von Tschernobyl im Jahr 1986. Die Bodenkontaminationswerte variieren von 3.000 Bq/m² in Eichenzell über 12.500 Bq/m² in Wülfersreuth bis 35.000 Bq/m² in Oberschönenfeld. Die effektiven Halbwerts-zeiten liegen in einem engen Bereich von 5,2 bis 5,8 Jahre mit einem Mittelwert von 5,4 ± 0,3 Jahren. Damit reduziert sich die radioaktive Belastung der Pilzfruchtkörper in etwa fünfmal schneller als durch die rein physikalische Halbwertszeit des 137Cs von 30,08 Jahren. Durch die Hinzunahme von bereits im Jahr 1990 veröffentlichten Daten ergab sich eine längere effektive Halbwertszeit von 7,7 ± 0,6 Jahren.
Für die Untersuchung der zwei Einflussfaktoren Exposition des Sammelgebiets (Hangausrichtung nach Ost oder West) und Höhenlage wurden sowohl Maronenröhrlinge (Imleria badia) als auch Steinpilze (Boletus edulis) hinsichtlich der 137Cs-Aktivität gemessen, um die Auswirkung auf Pilzarten mit unterschiedlichem Akkumulationsvermögen zu analysieren. Als Untersuchungsgebiet diente der Nationalpark Bayerischer Wald, da dieser ein großes Gebiet umfasst und verschiedene Ausprägungen der beiden Faktoren abbildet. Zudem wurde das Gebiet in Folge der Reaktorkatastrophe von Tschernobyl stark kontaminiert und der Park ist ein beliebtes Pilzsammelgebiet. Anhand der 137Cs-Aktivität von Bodenproben konnte das Gebiet in zwei Regionen (Cluster) eingeteilt werden: eine Region mit hohem und eine mit niedrigem Aktivitätseintrag. Im Vergleich wiesen Maronenröhrlinge (Imleria badia) durchschnittlich eine um den Faktor fünf höhere 137Cs-Aktivität als Steinpilze (Boletus edulis) auf. Der Faktor Höhenlage zeigte im Gegensatz zur Exposition einen Einfluss auf die Kontamination der Pilzfruchtkörper. In Bezug auf die Höhenlage war der Einfluss nur im Falle eines hohen Aktivitätseintrags signifikant, wobei die Pilzproben aus der niedrigsten Höhenlage am höchsten belastet waren.
Zur Ermittlung der vertikalen Verteilung des 137Cs im Boden wurden in den Waldgebieten Eichenzell und Nationalpark Bayerischer Wald Proben bis zu einer Tiefe von 24 cm entnommen und anschließend in 2 cm Schichten analysiert. Alle Verteilungen konnten mit einem Gauß-Fit oder einem multiplen Gauß-Fit mit 2 bis 3 Maxima abgebildet werden. Das erste Maximum lag in allen Fällen in den organischen Horizonten oder im Übergangsbereich zum Ah-Horizont. Folglich befindet sich der Großteil des 137Cs fast 35 Jahre nach der Reaktorkatastrophe von Tschernobyl immer noch im Bereich des Pilzmyzels und kann somit von den Pilzen aufgenommen und in den Fruchtkörpern angereichert werden.
Der Vergleich der 137Cs-Aktivität der Pilz- und Bodenproben aus dem Nationalpark Bayerischer Wald ergab sowohl für Maronenröhrlinge (Imleria badia) als auch für Steinpilze (Boletus edulis) eine positive Korrelation. Nach Unterteilung der Proben anhand der Höhenlage zeigte sich eine noch stärkere Korrelation. Dies zeigt, dass neben der Bodenkontamination auch die Höhenlage einen Einfluss auf die 137Cs-Aktivität der Fruchtkörper hat.
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Despite constant progress in basic and translational research, cancer is still one of the leading cause of death. In particular, tumors of the central nervous system (CNS) are usually associated with dismal prognosis. Although about 100 distinct subtypes of primary CNS tumors have been classified molecularly, metastases derived from primaries outside the CNS (= brain metastases, BrM) are more frequently observed across brain tumor patients. It is estimated that approximately 20 - 40 % of all cancer patients will develop BrM during their course of disease, and basically every tumor type is able to metastasize to the brain. Nevertheless, BrM are most frequently derived from primaries of the lung, breast, and skin (melanoma). Treatment options for patients with BrM are very limited, and standard of care therapies include surgery, ionizing radiation (e.g. whole brain radio-therapy, WBRT), and some systemic and immuno-therapeutic approaches.
The brain represents a unique organ, which in part is due to the presence of the blood-brain barrier, a unit of the neuro-vascular interface ensuring tightly regulated exchange of nutrients, molecules, and cells. Furthermore, apart from microglia the brain parenchyma does not harbor other immune cells. Those cells however can be found at the borders of the CNS residing in the meninges, for instance. Based on recent insight on the immune landscape in the CNS, a paradigm shift occurred after which the brain is no longer regarded as immune-privileged but rather immune distinct. The phenomenon of immune cell infiltration has been described before in the context of neurological disorders including Multiple Sclerosis, as well as in brain tumors.
Since the development of immune-therapeutic approaches for tumors outside the CNS that aim to evoke sustainable anti-tumor effects, it became increasingly interesting to understand and harness the immune landscape (= tumor microenvironment, TME) of brain tumors, as well. Interestingly, most of the knowledge about the TME is based on studies of primary brain tumors. However, it is known that BrM compared to primary brain tumors induce a different TME like e.g. the recruitment of much more lymphocytes, which is one of the reasons primary brain tumors are considered immunologically “cold” and poorly respond to immuno-therapies. Previous insight into the functional contribution of tumor-associated cells in BrM progression revealed for example that brain-resident cell types (e.g. astrocytes or microglia) promote BrM development and outgrowth. However, until recently a comprehensive view on the cellular composition and functional role of the brain metastases-associated TME was missing and little was known how it changes during tumor progression or standard therapy.
Hence, within this thesis it was sought to describe novel aspects of the TME of preclinical BrM models, which include two xenograft and one syngeneic mouse model. BrM was induced via intra-cardiac injection of tumor cells with a high brain tropism. Both xenograft models were based on immuno-compromised nude mice (Balb/c nude) and included the melanoma-to-brain (M2B) model H1_DL2, and the lung-to-brain (L2B) model H2030. In addition the breast-to-brain model 99LN-BrM was used in wild-type mice (BL6), and therefore represented an immuno-competent, syngeneic model. First BrMs could be detected in the xenograft models at 3 weeks after injection, whereas first 99LN BrMs were detected at 5 weeks. BrM development and progression were monitored by bioluminescence imaging once per week in the xenograft models. Tumor progression in the 99LN model was examined by magnetic resonance imaging. Based on the measurement methods, and for further histologic and cytometric experiments, mice were stratified into groups with small or large BrMs, respectively. Some initial immuno-stainings confirmed previous findings, showing that brain-resident cells like astrocytes and microglia become activated in the presence of tumor cells, whereas neurons for example rather give the impression of passive bystanders. Importantly, an accumulation of IBA1+ cells was observed during BrM progression. IBA1 is a pan-macrophage marker that stains all tumor-associated macrophages (TAMs). However previous work suggested that the TAM population consists of at least two main subpopulations in BrM as well: the resident-infiltrating microglia (MG, TAM-MG), as well as the peripheral and monocytic-derived macrophages (TAM-MDM). Since both cell types within the tumor share morphological traits, and due to the lack of markers to distinguish them, an exact discrimination of both cell types was complicated in the past. Recently, an integrative lineage-tracing-based study identified the integrin CD49d as MDM-specific in the context of brain tumor-associated myeloid cells, hence enabling a reliable dissection of both TAM populations in e.g. flow cytometric experiments.
One of the main aims of this thesis was to dissect the myeloid TME in the three different BrM models during tumor progression. Using a 5-marker flow cytometry (FCM) (CD45/CD11b/Ly6C/Ly6G/CD49d) approach, the following cell populations were examined in more detail: granulocytes, inflammatory monocytes, MDM, and MG.
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Background: Alternative polyadenylation (APA) refers to the regulated selection of polyadenylation sites (PASs) in transcripts, which determines the length of their 3′ untranslated regions (3′UTRs). We have recently shown that SRSF3 and SRSF7, two closely related SR proteins, connect APA with mRNA export. The mechanism underlying APA regulation by SRSF3 and SRSF7 remained unknown.
Results: Here we combine iCLIP and 3′-end sequencing and find that SRSF3 and SRSF7 bind upstream of proximal PASs (pPASs), but they exert opposite effects on 3′UTR length. SRSF7 enhances pPAS usage in a concentration-dependent but splicing-independent manner by recruiting the cleavage factor FIP1, generating short 3′UTRs. Protein domains unique to SRSF7, which are absent from SRSF3, contribute to FIP1 recruitment. In contrast, SRSF3 promotes distal PAS (dPAS) usage and hence long 3′UTRs directly by counteracting SRSF7, but also indirectly by maintaining high levels of cleavage factor Im (CFIm) via alternative splicing. Upon SRSF3 depletion, CFIm levels decrease and 3′UTRs are shortened. The indirect SRSF3 targets are particularly sensitive to low CFIm levels, because here CFIm serves a dual function; it enhances dPAS and inhibits pPAS usage by binding immediately downstream and assembling unproductive cleavage complexes, which together promotes long 3′UTRs.
Conclusions; We demonstrate that SRSF3 and SRSF7 are direct modulators of pPAS usage and show how small differences in the domain architecture of SR proteins can confer opposite effects on pPAS regulation.
Non-ribosomal peptide synthetase docking domains : structure, function and engineering strategies
(2021)
Non-ribosomal peptide synthetases (NRPSs) are known for their capability to produce a wide range of natural compounds and some of them possess interesting bioactivities relevant for clinical application like antibiotics, anticancer, and immunosuppressive drugs. The diverse bioactivity of non-ribosomal peptides (NRPs) originates from their structural diversity, which results not only from the incorporation of non-proteinogenic amino acids into the growing peptide chain, but also the formation of heterocycles or further peptide modifications like methylation, hydroxylation and acetylation.
The biosynthesis of NRPs is achieved via the orchestrated interplay of distinct catalytic domains, which are grouped to modules that are located on one or more polypeptide chains. Each cycle starts with the selection and activation of a specific amino acid by the adenylation (A) domain, which catalyzes the aminoacyl adenylate formation under ATP consumption. This activated amino acid is then bound via a thioester bond to the 4’-phosphopantetheine cofactor (PPant-arm) of the following thiolation (T) domain. Before substrate loading, the PPant-arm is post-translationally added to the T domain by a phosphopantetheinyl transferase (PPTase), which converts the inactive apo-T domain in its active holo-form. In the last step of the catalytic cycle, two T domain bound peptide building blocks are connected by the condensation (C) domain, resulting in peptide bond formation and transfer of the nascent peptide chain to the following module. Each catalytic cycle is performed by a C-A-T elongation module until the termination module with a C-terminal thioesterase (TE) domain is reached. Here, the peptide product is released by hydrolysis or intramolecular cyclisation.
In comparison to single-protein NRPSs, where all modules are encoded on a single polypeptide chain, multi-protein NRPS systems must also maintain a specific module order during the peptide biosynthesis. Therefore, small C-terminal and N-terminal communication-mediating (COM) domains/docking domains (DD) were identified in the C- and N-terminal regions of multi-protein NRPSs. It was shown that these domains mediate specific and selective non-covalent protein-protein interaction, even though DD interactions are generally characterized by low affinities.
The first publication of this work focuses on the Peptide-Antimicrobial-Xenorhabdus peptide-producing NRPS called PaxS, which consists of the three proteins PaxA, PaxB and PaxC. Here, in particular the trans DD interface between the C-terminal attached DD of PaxB and N-terminal attached DD of PaxC was structurally investigated and thermodynamically characterized by isothermal titration calorimetry (ITC), yielding a dissociation constant (KD) of ~25 µM, which is a DD typical affinity known from further characterized DD pairs. The artificial linking of the PaxB/C C/NDD pair via a glycine-serine (GS) linker facilitated the structure determination of the DD complex by solution nuclear magnetic resonance (NMR) spectroscopy. In comparison to known docking domain structures, this DD complex assembles in a completely new fold which is characterized by a central α-helix of PaxC NDD wrapped in two V-shaped α-helices of PaxB CDD.
The first manuscript of this work focuses on the application of synthetic zippers (SZ) to mimic natural docking domains, enabling the easy assembly of NRPS building blocks encoded on different plasmids in a functional way. Here, the high-affinity interaction of SZs unambiguously defines the order of the synthetases derived from single-protein NRPSs in the engineered NRPS system and allows the recombination in a plug-and-play manner. Notably, the SZ engineering strategy even facilitates the functional assembly of NRPSs derived from Gram-positive and Gram-negative bacteria. Furthermore, the functional incorporation of SZs into NRPS modules is not limited to a specific linker region, so we could introduce them within all native NRPS linker regions (A-T, T-C, C-A).
The second publication and the second manuscript of this thesis again focus on the multi-protein PaxS, in particular on the trans interface between the proteins PaxA and PaxB on a molecular level by solution NMR. Therefore, the PaxA CDD adjacent T domain was included into the structural investigation besides the native interaction partner PaxB NDD. Before a three-dimensional structure could be obtained from NMR data, the NH groups located in the peptide bonds had to be assigned to the respective amino acids of the proteins (backbone assignment). Based on these backbone assignments, the secondary structure of PaxA T1-CDD and PaxB NDD in the absence and presence of the respective interaction partner were predicted.
The structural and functional characterization of the PaxA T1-CDD:PaxB NDD complex is summarized in manuscript two. The thermodynamic analysis of this complex by ITC determined a KD value of ~250 nM, whereas the discrete DDs did not interact at all. The high-affinity interaction allowed to determine the solution NMR structure of the PaxA T1-CDD:PaxB NDD complex without the covalent linkage of the interaction partners and an extended docking domain interface could be determined. This interface comprises on the one hand α-helix 4 of the PaxA T1 domain together with the α-helical CDD, and on the other hand the PaxB NDD, which is composed of two α-helices separated by a sharp bend.
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Most cellular processes are regulated by RNA-binding proteins (RBPs). These RBPs usually use defined binding sites to recognize and directly interact with their target RNA molecule. Individual-nucleotide resolution UV crosslinking and immunoprecipitation (iCLIP) experiments are an important tool to de- scribe such interactions in cell cultures in-vivo. This experimental protocol yields millions of individual sequencing reads from which the binding spec- trum of the RBP under study can be deduced. In this PhD thesis I studied how RNA processing is driven from RBP binding by analyzing iCLIP-derived sequencing datasets.
First, I described a complete data analysis pipeline to detect RBP binding sites from iCLIP sequencing reads. This workflow covers all essential process- ing steps, from the first quality control to the final annotation of binding sites. I described the accurate integration of biological iCLIP replicates to boost the initial peak calling step while ensuring high specificity through replicate re- producibility analysis. Further I proposed a routine to level binding site width to streamline downstream analysis processes. This was exemplified in the re- analysis of the binding spectrum of the U2 small nuclear RNA auxiliary factor 2 (U2AF2, U2AF65). I recaptured the known dominance of U2AF65 to bind to intronic sequences of protein-coding genes, where it likely recognizes the polypyrimidine tract as part of the core spliceosome machinery.
In the second part of my thesis, I analyzed the binding spectrum of the serine and arginine rich splicing factor 6 (SRSF6) in the context of diabetes. In pancreatic beta-cells, the expression of SRSF6 is regulated by the transcription factor GLIS3, which encodes for a diabetes susceptibility gene. It is known that SRSF6 promotes beta-cell death through the splicing dysregulation of genes essential to beta-cell function and survival. However, the exact mechanism of how these RNAs are targeted by SRSF6 remains poorly understood. Here, I applied the defined iCLIP processing pipeline to describe the binding landscape of the splicing factor SRSF6 in the human pancreatic beta-cell line EndoC-H1. The initial binding sites definition revealed a predominant binding to coding sequences (CDS) of protein-coding genes. This was followed up by extensive motif analysis which revealed a so far, in human, unknown purine-rich binding motif. SRSF6 seemed to specifically recognize repetitions of the triplet GAA. I also showed that the number of contiguous triplets correlated with increasing binding site strength. I further integrated RNA-sequencing data from the same cell type, with SRSF6 in KD and in basal conditions, to analyze SRSF6- related splicing changes. I showed that the exact positioning of SRSF6 on alternatively spliced exons regulates the produced transcript isoforms. This mechanism seemed to control exons in several known susceptibility genes for diabetes.
In summary, in my PhD thesis, I presented a comprehensive workflow for the processing of iCLIP-derived sequencing data. I applied this pipeline on a dataset from pancreatic beta-cells to unveil the impact of SRSF6-mediated splicing changes. Thus, my analysis provides novel insights into the regulation of diabetes susceptibility genes.
In times of global climate change and the fear of dwindling resources, we are facing different considerable challenges such as the replacement of fossil fuel–based energy carriers with the coincident maintenance of the increasing energy supply of our growing world population. Therefore, CO2 capturing and H2 storing solutions are urgently needed. In this study, we demonstrate the production of a functional and biotechnological interesting enzyme complex from acetogenic bacteria, the hydrogen-dependent CO2 reductase (HDCR), in the well-known model organism Escherichia coli. We identified the metabolic bottlenecks of the host organisms for the production of the HDCR enzyme complex. Here we show that the recombinant expression of a heterologous enzyme complex transforms E. coli into a whole-cell biocatalyst for hydrogen-driven CO2 reduction to formate without the need of any external co-factors or endogenous enzymes in the reaction process. This shifts the industrial platform organism E. coli more and more into the focus as biocatalyst for CO2-capturing and H2-storage. Key points: A functional HDCR enzyme complex was heterologously produced in E. coli; The metabolic bottlenecks for HDCR production were identified; HDCR enabled E. coli cell to capture and store H2 and CO2 in the form of formate.
Macrophages not only represent an integral part of innate immunity but also critically contribute to tissue and organ homeostasis. Moreover, disease progression is accompanied by macrophage accumulation in many cancer types and is often associated with poor prognosis and therapy resistance. Given their critical role in modulating tumor immunity in primary and metastatic brain cancers, macrophages are emerging as promising therapeutic targets. Different types of macrophages infiltrate brain cancers, including (i) CNS resident macrophages that comprise microglia (TAM-MG) as well as border-associated macrophages and (ii) monocyte-derived macrophages (TAM-MDM) that are recruited from the periphery. Controversy remained about their disease-associated functions since classical approaches did not reliably distinguish between macrophage subpopulations. Recent conceptual and technological advances, such as large-scale omic approaches, provided new insight into molecular profiles of TAMs based on their cellular origin. In this review, we summarize insight from recent studies highlighting similarities and differences of TAM-MG and TAM-MDM at the molecular level. We will focus on data obtained from RNA sequencing and mass cytometry approaches. Together, this knowledge significantly contributes to our understanding of transcriptional and translational programs that define disease-associated TAM functions. Cross-species meta-analyses will further help to evaluate the translational significance of preclinical findings as part of the effort to identify candidates for macrophage-targeted therapy against brain metastasis.
Ribosome assembly is an essential and carefully choreographed cellular process. In eukaryotes, several 100 proteins, distributed across the nucleolus, nucleus, and cytoplasm, co-ordinate the step-wise assembly of four ribosomal RNAs (rRNAs) and approximately 80 ribosomal proteins (RPs) into the mature ribosomal subunits. Due to the inherent complexity of the assembly process, functional studies identifying ribosome biogenesis factors and, more importantly, their precise functions and interplay are confined to a few and very well-established model organisms. Although best characterized in yeast (Saccharomyces cerevisiae), emerging links to disease and the discovery of additional layers of regulation have recently encouraged deeper analysis of the pathway in human cells. In archaea, ribosome biogenesis is less well-understood. However, their simpler sub-cellular structure should allow a less elaborated assembly procedure, potentially providing insights into the functional essentials of ribosome biogenesis that evolved long before the diversification of archaea and eukaryotes. Here, we use a comprehensive phylogenetic profiling setup, integrating targeted ortholog searches with automated scoring of protein domain architecture similarities and an assessment of when search sensitivity becomes limiting, to trace 301 curated eukaryotic ribosome biogenesis factors across 982 taxa spanning the tree of life and including 727 archaea. We show that both factor loss and lineage-specific modifications of factor function modulate ribosome biogenesis, and we highlight that limited sensitivity of the ortholog search can confound evolutionary conclusions. Projecting into the archaeal domain, we find that only few factors are consistently present across the analyzed taxa, and lineage-specific loss is common. While members of the Asgard group are not special with respect to their inventory of ribosome biogenesis factors (RBFs), they unite the highest number of orthologs to eukaryotic RBFs in one taxon. Using large ribosomal subunit maturation as an example, we demonstrate that archaea pursue a simplified version of the corresponding steps in eukaryotes. Much of the complexity of this process evolved on the eukaryotic lineage by the duplication of ribosomal proteins and their subsequent functional diversification into ribosome biogenesis factors. This highlights that studying ribosome biogenesis in archaea provides fundamental information also for understanding the process in eukaryotes.
In recent years, the popularity of rock-climbing has grown tremendously, setting an increasing pressure on cliff habitats. Climbing may be particularly harmful in the Mediterranean biome due to its appropriate environmental conditions for climbing. A few studies have identified the effect of climbing on plant diversity at a small-scale (namely locally or even just in specific climbing areas). However, no studies exist assessing the potential risk of rock-climbing on a broad-scale (e.g., regional or national). The study aims to identify the priority locations and priority cliff plant species in Spain to focus future study efforts. Spain was selected because it is a plant biodiversity hotspot, with a great diversity of endemic and endangered species, and one of the most popular destinations for climbers. We used a geographic information system-based approach to model the spatial concurrence among Spanish climbing areas (and climbing intensity), natural protected areas (NPAs), and distribution of threatened cliff plants (and their IUCN threat category). We found that 53.5% of climbing areas in Spain are located within a NPA, most of them falling into NPAs of medium protection level. We mapped 151 threatened cliff plants, identifying four medium priority Mediterranean locations and eight priority species in which future research efforts should be focused. High-priority study locations are absent in Spain according to our spatial modeling. For the first time on a national scale, this study identifies areas in which climbing represents a potential threat for cliff habitats and threatened plants. These findings contribute to designing field studies on the effects of rock-climbing on Mediterranean cliffs, laying the groundwork for a sustainable, yet challenging, balance between the protection of these unique habitats and rock-climbing.