Formalized synthesis opportunities for ecology: systematic reviews and meta‐analyses

Narrative reviews are dead. Long live systematic reviews (and meta‐analyses). Synthesis in many forms is now a driving force in ecology. Advances in open data for ecology and new tools provide vastly improved capacity for novel, emergent knowledge synthesis in our discipline. Systematic reviews and meta‐analyses are two formal synthesis opportunities for ecologists that are now accepted as traditional publications, but the scope of validated syntheses will continue to expand. To date, systematic reviews are rarely used whilst the rate of meta‐analyses published in ecological journals is increasing exponentially. Systematic reviews provide an overview of the literature landscape for a topic, and meta‐analyses examine the strength of evidence integrated across different studies. Effective synthesis benefits from both approaches, but better data reporting and additional advances in the culture of sharing data, code, analytics, workflows, methods and also ideas will further energize these efforts. At this junction, synthetic efforts that include systematic reviews and meta‐analyses should continue as stand‐alone publications. This is a necessary step in the evolution of synthesis in our discipline. Nonetheless, they are still evolving tools, and meta‐analyses in particular are simply an extended set of statistical tests. Admittedly, understanding the statistics and assumptions influence how we conduct synthesis much as statistical choices often shape experimental design, i.e. ANOVA versus regression‐based experiments, but statistics do not make the paper. Current steps – primary research articles need to more effectively report evidence, sharing scientific products should expand, systematic reviews should be used to identify research gaps/delineate literature landscapes, and meta‐analyses should be used to examine evidence patterns to further predictive ecology.     

K‐Sample comparisons using propensity analysis

In this paper, we investigate K‐group comparisons on survival endpoints for observational studies. In clinical databases for observational studies, treatment for patients are chosen with probabilities varying depending on their baseline characteristics. This often results in noncomparable treatment groups because of imbalance in baseline characteristics of patients among treatment groups. In order to overcome this issue, we conduct propensity analysis and match the subjects with similar propensity scores across treatment groups or compare weighted group means (or weighted survival curves for censored outcome variables) using the inverse probability weighting (IPW). To this end, multinomial logistic regression has been a popular propensity analysis method to estimate the weights. We propose to use decision tree method as an alternative propensity analysis due to its simplicity and robustness. We also propose IPW rank statistics, called Dunnett‐type test and ANOVA‐type test, to compare 3 or more treatment groups on survival endpoints. Using simulations, we evaluate the finite sample performance of the weighted rank statistics combined with these propensity analysis methods. We demonstrate these methods with a real data example. The IPW method also allows us for unbiased estimation of population parameters of each treatment group. In this paper, we limit our discussions to survival outcomes, but all the methods can be easily modified for any type of outcomes, such as binary or continuous variables.     

Host traits associated with species roles in parasite sharing networks

The community of host species that a parasite infects is often explained by functional traits and phylogeny, predicting that closely related hosts or those with particular traits share more parasites with other hosts. Previous research has examined parasite community similarity by regressing pairwise parasite community dissimilarity between two host species against host phylogenetic distance. However, pairwise approaches cannot target specific host species responsible for disproportionate levels of parasite sharing. To better identify why some host species contribute differentially to parasite diversity patterns, we represent parasite sharing using ecological networks consisting of host species connected by instances of shared parasitism. These networks can help identify host species and traits associated with high levels of parasite sharing that may subsequently identify important hosts for parasite maintenance and transmission within communities. We used global‐scale parasite sharing networks of ungulates, carnivores, and primates to determine if host importance – encapsulated by the network measures degree, closeness, betweenness, and eigenvector centrality – was predictable based on host traits. Our findings suggest that host centrality in parasite sharing networks is a function of host population density and range size, with range size reflecting both species geographic range and the home range of those species. In the full network, host taxonomic family became an important predictor of centrality, suggesting a role for evolutionary relationships between host and parasite species. More broadly, these findings show that trait data predict key properties of ecological networks, thus highlighting a role for species traits in understanding network assembly, stability, and structure.     

Metabolic profiling of Rhodiola rosea rhizomes by 1H NMR spectroscopy

Introduction – Rhodiola rosea is a broadly used medicinal plant with largely unexplored natural variability in secondary metabolite levels. Objective – The aim of this work was to develop a non‐target procedure for ¹H NMR spectroscopic fingerprinting of rhizome extracts for pattern recognition analysis and identification of secondary metabolites responsible for differences in sample composition. To achieve this, plants from three different geographic areas (Swiss Alps, Finland, and Altai region in Siberia) were investigated. Results – A sample preparation procedure was developed in order to remove polymeric polyphenols as the ¹H NMR analysis of low‐molecular‐weight metabolites was hampered by the presence of tannins. Principal component analysis disclosed tight clustering of samples according to population. PCA models based on the aromatic region of the spectra showed that the first two components reflected changes in the content of salidroside and rosavin, respectively, the rosavin content being negatively correlated to that of rhodiocyanoside A and minor aromatics. Score plots and non‐parametric variance tests demonstrated population‐dependent changes according to harvest time. Data consistency was assessed using score plots and box‐and‐whisker graphs. In addition, a procedure for presenting loadings of PCA models based on bucketed data as high‐resolution plots, which are reminiscent of real ¹H NMR spectra and help to identify latent biomarkers, is presented. Conclusion – This study demonstrated the usefulness of the established procedure for multivariate non‐target ¹H NMR metabolic profiling of Rhodiola rosea. Copyright © 2010 John Wiley & Sons, Ltd.     

Profiling the surfacome of Staphylococcus aureus

Staphylococcus aureus is a widespread opportunistic pathogen that can cause a wide variety of life‐threatening diseases. Especially for the colonization of human tissues and the development of invasiveness, surface‐exposed proteins are of major importance. In the present studies, we optimized a proteolytic shaving approach to identify those surface‐exposed protein domains – the surfacome – of S. aureus that are accessible to extracellular bio‐macromolecules, for example in the host milieu. Subsequently, this approach was applied to define the surfacomes of four strains with different genetic backgrounds. This resulted in the identification of 96 different proteins. Surprisingly, the overlap between the surfacomes of the four different strains was below 10% and each strain displayed its own characteristic set of surface‐exposed proteins. The data were also evaluated at the peptide level and here we observed a similar phenomenon. From 190 unique peptides only five were commonly found in the four strains. Besides well known cell wall proteins, we also identified some essential proteins, several yet uncharacterized exported proteins and predicted intracellular proteins. These results show for the first time that the cell surface of different S. aureus strains is not only highly variable, but also that the displayed proteins are very heterogeneous.     

Antioxidant and Antimelanogenic Activities of Compounds Isolated from the Aerial Parts of Achillea alpina L.

Achillea alpina is widely distributed in Korea and is often used as a folk medicine for stomach disorders. Although a previous study isolated antioxidant compounds (flavonoid O‐glucoside, sesquiterpene) from this plant, no systematic study of its chemical constituents had been reported. The present study aimed to identify the phytochemicals present in a methanol extract of A. alpina, assess their potential antioxidant activities in vitro, and determine their effects on melanogenesis in B16F10 melanoma cells. Column chromatographic separation of aqueous fractions of A. alpina led to the isolation of 17 compounds. The chemical structures of these compounds were determined using spectroscopic data from electrospray ionization‐mass spectrometry and nuclear magnetic resonance. To the best of our knowledge, the present study is the first to identify compounds 2 – 10 and 12 – 17 in A. alpina. Furthermore, compound 6 possessed powerful antioxidant activity, while compound 15 suppressed intracellular tyrosinase activity and thus reduced melanogenesis in B16F10 cells. Therefore, our research suggested that these naturally occurring compounds have the potential to reduce oxidative stress and promote skin whitening. Further investigations will be required to elucidate the mechanisms underlying the antioxidant and antityrosinase activities of these compounds.     

From connection to contagion

This essay proposes that we ‘think data’ with a complex legacy of work, once disavowed and now resurgent in social theory, on crowd formations. I propose this move because social media platforms’ mobilization of data – the extractions, ever-shifting reaggregations, and micro-targeting, on the one hand, and our engagements, re-tweets, acts of sharing, and production of virality, on the other – has fuelled such anxious concern about the very things that animated much crowd theory in the first place. Key among these concerns are the force of emotional contagion and the threat of social dissolution; the composition of ‘the social’ by elements that well exceed the human; and pressing questions about the media through which energetic forces travel, often with lightning speed. What questions might be enabled by attending to the resonance between crowd theory's ‘anti-liberal’ preoccupations and contemporary concerns over how social media platforms crowd us?     

The Vulnerability of Study Participants in the Context of Transnational Biomedical Research: From Conceptual Considerations to Practical Implications

Outsourcing clinical trials sponsored by pharmaceutical companies from industrialized countries to low‐ (middle)‐income countries – summarized as transnational biomedical research (TBR) – has lead to many concerns about ethical standards. Whether study participants are particularly vulnerable is one of those concerns. However, the concept of vulnerability is still vague and varies in its definition. Despite the fact that important international ethical guidelines such as the Declaration of Helsinki by the World Medical Association or the Ethical Guidelines for Biomedical Research Involving Human Subjects by the Council of International Organizations of Medical Sciences refer to vulnerability as ethical principle, each of their approaches are different. To overcome these shortcomings, we analyze and unite different approaches of vulnerability and develop practical criteria in order to operationalize the concept especially for the context of TBR. These criteria refer to the context of a study as well as the characteristics and the current living situation of study participants. Based on a case study of an HIV‐vaccine‐trial conducted in India we demonstrate how those criteria can be applied in a retrospective way to identify potential ethical conflicts. The criteria can also indicate a prospective function for ethical pre‐assessment. For this, we provide an outlook for three major topics: 1. Vulnerability as a normative concept: Different ways of protection; 2. The relevance of transparency and 3. Vulnerability as an instrument to increase decision participation of human subjects.     

Multiple strong postmating and intrinsic postzygotic reproductive barriers isolate florally diverse species of Jaltomata (Solanaceae)

Divergence in phenotypic traits often contributes to premating isolation between lineages, but could also promote isolation at postmating stages. Phenotypic differences could directly result in mechanical isolation or hybrids with maladapted traits; alternatively, when alleles controlling these trait differences pleiotropically affect other components of development, differentiation could indirectly produce genetic incompatibilities in hybrids. Here, we determined the strength of nine postmating and intrinsic postzygotic reproductive barriers among 10 species of Jaltomata (Solanaceae), including species with highly divergent floral traits. To evaluate the relative importance of floral trait diversification for the strength of these postmating barriers, we assessed their relationship to floral divergence, genetic distance, geographical context, and ecological differences, using conventional tests and a new linear‐mixed modeling approach. Despite close evolutionary relationships, all species pairs showed moderate to strong isolation. Nonetheless, floral trait divergence was not a consistent predictor of the strength of isolation; instead this was best explained by genetic distance, although we found evidence for mechanical isolation in one species, and a positive relationship between floral trait divergence and fruit set isolation across species pairs. Overall, our data indicate that intrinsic postzygotic isolation is more strongly associated with genome‐wide genetic differentiation, rather than floral divergence.     

Targeted resequencing reveals geographical patterns of differentiation for loci implicated in parallel evolution

Parallel divergence and speciation provide evidence for the role of divergent selection in generating biological diversity. Recent studies indicate that parallel phenotypic divergence may not have the same genetic basis in different geographical locations – ‘outlier loci’ (loci potentially affected by divergent selection) are often not shared among parallel instances of phenotypic divergence. However, limited sharing may be due, in part, to technical issues if false‐positive outliers occur. Here, we test this idea in the marine snail Littorina saxatilis, which has evolved two partly isolated ecotypes (adapted to crab predation vs. wave action) in multiple locations independently. We argue that if the low extent of sharing observed in earlier studies in this system is due to sampling effects, we expect outliers not to show elevated F_ST when sequenced in new samples from the original locations and also not to follow predictable geographical patterns of elevated F_ST. Following a hierarchical sampling design (within vs. between country), we applied capture sequencing, targeting outliers from earlier studies and control loci. We found that outliers again showed elevated levels of F_ST in their original location, suggesting they were not generated by sampling effects. Outliers were also likely to show increased F_ST in geographically close locations, which may be explained by higher levels of gene flow or shared ancestral genetic variation compared with more distant locations. However, in contrast to earlier findings, we also found some outlier types to show elevated F_ST in geographically distant locations. We discuss possible explanations for this unexpected result.     

On the missing link in ecology: improving communication between modellers and experimentalists

Collaboration between modellers and experimentalists is essential in ecological research, however, different obstacles linking both camps often hinder scientific progress. In this commentary, we discuss several issues of the current state of affairs in this research loop. Backed by an online survey amongst fellow ecologists, modellers and experimentalists alike, we identify two major areas that need to be mended. Firstly, differences in language and jargon lead to a lack of exchange of ideas and to unrealistic mutual expectations. And secondly, constraint data sharing, accessibility and quality limit the usage of empirical data and thereby the impact of ecological studies. We discuss ways to advance collaboration; how to improve communication and the design of experiments; and the sharing of data. We hope to start a much‐needed conversation between modellers and experimentalists, to further future research collaboration and to increase the impact of single ecological studies alike.     

EVIDENCE OF ADAPTATION FROM ANCESTRAL VARIATION IN YOUNG POPULATIONS OF BEACH MICE

To understand how organisms adapt to novel habitats, which involves both demographic and selective events, we require knowledge of the evolutionary history of populations and also selected alleles. There are still few cases in which the precise mutations (and hence, defined alleles) that contribute to adaptive change have been identified in nature; one exception is the genetic basis of camouflaging pigmentation of oldfield mice (Peromyscus polionotus) that have colonized the sandy dunes of Florida's Gulf Coast. To quantify the genomic impact of colonization as well as the signature of selection, we resequenced 5000 1.5‐kb noncoding loci as well as a 160‐kb genomic region surrounding the melanocortin‐1 receptor (Mc1r), a gene that contributes to pigmentation differences, in beach and mainland populations. Using a genome‐wide phylogenetic approach, we recovered a single monophyletic group comprised of beach mice, consistent with a single colonization event of the Gulf Coast. We also found evidence of a severe founder event, estimated to have occurred less than 3000 years ago. In this demographic context, we show that all beach subspecies share a single derived light Mc1r allele, which was likely selected from standing genetic variation that originated in the mainland. Surprisingly, we were unable to identify a clear signature of selection in the Mc1r region, despite independent evidence that this locus contributes to adaptive coloration. Nonetheless, these data allow us to reconstruct and compare the evolutionary history of populations and alleles to better understand how adaptive evolution, following the colonization of a novel habitat, proceeds in nature.     

Variation in body segment number within and between populations of the centipede Strigamia maritima (Chilopoda: Geophilomorpha)

Although most arthropod species have a fixed number of body segments, one order of centipedes – the Geophilomorpha – provides an unusual opportunity to study the variation and microevolution of segment number. This is because all species in all but one family exhibit variation in the number of leg‐bearing segments (LBS) within and between natural populations. One species in particular, the coastal geophilomorph Strigamia maritima, has become a ‘model system’ for these studies, because of its high population densities and the consequent ease of collecting large samples. Previous studies on this species have examined various aspects of segment number variation. However, most studies have characterized each population by an LBS distribution and a mean LBS number that are based on data from all life‐stages. Here, we dissect the variation within as well as between populations and show that different cohorts within a population often have significantly different LBS number distributions. This is almost certainly due to developmental plasticity, probably related to the prevailing microhabitat temperature within brood chambers, but possibly related to other environmental factors too. Although we found no evidence of selection, the fact that different species of geophilomorphs have different LBS distributions suggests that, in the long term, selection may act on the developmental reaction norm of LBS number. © 2012 The Linnean Society of London, Biological Journal of the Linnean Society, 2012, 107 , 678–685.     

Philopatry drives genetic differentiation in an island archipelago: comparative population genetics of Galapagos Nazca boobies (Sula granti) and great frigatebirds (Fregata minor)

Seabirds are considered highly mobile, able to fly great distances with few apparent barriers to dispersal. However, it is often the case that seabird populations exhibit strong population genetic structure despite their potential vagility. Here we show that Galapagos Nazca booby (Sula granti) populations are substantially differentiated, even within the small geographic scale of this archipelago. On the other hand, Galapagos great frigatebird (Fregata minor) populations do not show any genetic structure. We characterized the genetic differentiation by sampling five colonies of both species in the Galapagos archipelago and analyzing eight microsatellite loci and three mitochondrial genes. Using an F‐statistic approach on the multilocus data, we found significant differentiation between nearly all island pairs of Nazca booby populations and a Bayesian clustering analysis provided support for three distinct genetic clusters. Mitochondrial DNA showed less differentiation of Nazca booby colonies; only Nazca boobies from the island of Darwin were significantly differentiated from individuals throughout the rest of the archipelago. Great frigatebird populations showed little to no evidence for genetic differentiation at the same scale. Only two island pairs (Darwin – Wolf, N. Seymour – Wolf) were significantly differentiated using the multilocus data, and only two island pairs had statistically significant φ_ST values (N. Seymour – Darwin, N. Seymour – Wolf) according to the mitochondrial data. There was no significant pattern of isolation by distance for either species calculated using both markers. Seven of the ten Nazca booby migration rates calculated between island pairs were in the south or southeast to north or northwest direction. The population differentiation found among Galapagos Nazca booby colonies, but not great frigatebird colonies, is most likely due to differences in natal and breeding philopatry.     

Law and the architecture of social repair: gacaca days in post‐genocide Rwanda

In this article, I examine post‐genocide Rwanda's gacaca process, in which genocide suspects were tried among their neighbours before locally elected judges. I suggest two limitations in how anthropologists have typically studied post‐conflict legal institutions. Measuring the cultural relevance of law obscures contemporary imbrications of African custom and universal legal principles, and distracts from analysis of the politicized uses of culture. Analysing structural constraints and coercive dimensions, while crucial, can blind us to the very real social work that happens in these forums. Instead, I argue, what differentiated gacaca was how deeply it was contextualized – embedded in daily life, public, participatory, routinized, and based on oral testimony – and this contextualization formed the basis of its situated relevance to people's efforts to shape forms of sociality. People used gacaca sessions to negotiate the micro‐politics of reconciliation, which included debating definitions of ‘genocide citizenship’, guilt, innocence, exchange, and material loyalty. I argue for moving beyond the underlying assumption in critical transitional justice studies that law and reconciliation are mutually exclusive, to acknowledge that the instrumental and often divisive dynamics in gacaca do not merely reflect institutional failures but, rather, reflect the inherent violence of social repair.     

Interdisciplinarity to reconstruct historical introductions: solving the status of cryptogenic crayfish

Anciently introduced species can be confounded with native species because introduction pre‐dates the first species inventories or because of the loss of the collective memory of the introductions. The term ‘cryptogenic species’ denotes species of unknown or unclear status (native versus non‐native) in a given territory, and disciplinary approaches are often insufficient for solving their true status. Here, we follow an integrative, multidisciplinary approach to solve the status of a cryptogenic species, proposing that building on evidence from multiple disciplines can produce robust and clarifying insights. We undertook an exhaustive review of information on a putatively native crayfish (Austropotamobius italicus) in Spain. The reviewed information included taxonomy, genetics and phylogeography, history, archaeology, linguistics, biogeography, ecology, symbiotic organisms and even gastronomy and pharmacy. The knowledge produced by different scientific disciplines converges to indicate that A. italicus is a non‐native species in Spain. Historical documents even identify the first introduction event: crayfish were shipped from Italy to Spain in 1588 as a diplomatic gift from Francesco I de' Medici to King Philip II of Spain. Previous discussions on the status of A. italicus focussed on inconclusive and often confusing genetic results and excluded the rich and clarifying evidence available from other approaches and disciplines. Interdisciplinarity is an often‐invoked but rarely implemented practice in an academic environment that increasingly promotes narrow‐focussed specialization. Our review shows that the integration of disciplines can surpass disciplinary approaches in solving scientific controversies. Our results have straightforward implications for strategies to conserve biological diversity in Spain and Europe, urging a debate on the appropriateness of devoting conservation efforts to non‐native species.     

Isolation by environment in White‐breasted Nuthatches (Sitta carolinensis) of the Madrean Archipelago sky islands: a landscape genomics approach

Understanding landscape processes driving patterns of population genetic differentiation and diversity has been a long‐standing focus of ecology and evolutionary biology. Gene flow may be reduced by historical, ecological or geographic factors, resulting in patterns of isolation by distance (IBD) or isolation by environment (IBE). Although IBE has been found in many natural systems, most studies investigating patterns of IBD and IBE in nature have used anonymous neutral genetic markers, precluding inference of selection mechanisms or identification of genes potentially under selection. Using landscape genomics, the simultaneous study of genomic and ecological landscapes, we investigated the processes driving population genetic patterns of White‐breasted Nuthatches (Sitta carolinensis) in sky islands (montane forest habitat islands) of the Madrean Archipelago. Using more than 4000 single nucleotide polymorphisms and multiple tests to investigate the relationship between genetic differentiation and geographic or ecological distance, we identified IBE, and a lack of IBD, among sky island populations of S. carolinensis. Using three tests to identify selection, we found 79 loci putatively under selection; of these, seven matched CDS regions in the Zebra Finch. The loci under selection were highly associated with climate extremes (maximum temperature of warmest month and minimum precipitation of driest month). These results provide evidence for IBE – disentangled from IBD – in sky island vertebrates and identify potential adaptive genetic variation.     

Genetic differentiation associated with host plants and geography among six widespread species of South American Blepharoneura fruit flies (Tephritidae)

Tropical herbivorous insects are astonishingly diverse, and many are highly host‐specific. Much evidence suggests that herbivorous insect diversity is a function of host plant diversity; yet, the diversity of some lineages exceeds the diversity of plants. Although most species of herbivorous fruit flies in the Neotropical genus Blepharoneura are strongly host‐specific (they deposit their eggs in a single host plant species and flower sex), some species are collected from multiple hosts or flowers and these may represent examples of lineages that are diversifying via changes in host use. Here, we investigate patterns of diversification within six geographically widespread Blepharoneura species that have been collected and reared from at least two host plant species or host plant parts. We use microsatellites to (1) test for evidence of local genetic differentiation associated with different sympatric hosts (different plant species or flower sexes) and (2) examine geographic patterns of genetic differentiation across multiple South American collection sites. In four of the six fly species, we find evidence of local genetic differences between flies collected from different hosts. All six species show evidence of geographic structure, with consistent differences between flies collected in the Guiana Shield and flies collected in Amazonia. Continent‐wide analyses reveal – in all but one instance – that genetically differentiated flies collected in sympatry from different host species or different sex flowers are not one another's closest relatives, indicating that genetic differences often arise in allopatry before, or at least coincident with, the evolution of novel host use.     

Honeybees and bumblebees share similar bacterial symbionts

Associations with symbiotic microorganisms are a major source for evolutionary innovation in eukaryotes. Arthropods have long served as model systems to study such associations, especially since Paul Buchner’s (1965) seminal work that beautifully illustrated the enormous diversity of microorganisms associated with insects. Particularly high taxonomic and functional diversities of microbial symbionts have been found in the guts and gut‐associated organs of insects. These microorganisms play important roles in the digestion, nutrition and defence of the host. However, most studies of gut microorganisms have focused on single host taxa, limiting the ability to draw general conclusions on composition and functional roles of the insect gut microbiota. This is especially true for the diverse and important insect order Hymenoptera that comprises the bees, wasps and ants. Recently, Russell et al. (2009) analysed the bacterial community associated with diverse ant species and found evidence for changes in the microbial gut community coinciding with the evolution of herbivory. In this issue of Molecular Ecology, Martinson et al. (2011) provide the first broad‐scale bacterial survey for bees. Their findings substantiate earlier evidence for a surprisingly simple gut microbiota in honeybees (Apis mellifera) that is composed of only six to ten major phylotypes. Importantly, Martinson et al. demonstrate for the first time that the same bacterial phylotypes are major constituents of other Apis as well as Bombus species, but not of any other bees and wasps outside of the corbiculate bees, a clade of four tribes within the subfamily Apinae. These results indicate that corbiculate bees harbour a specific and possibly co‐evolved bacterial community in their digestive tract. Furthermore, the comparison with other bees and wasps suggests that changes in social lifestyle may have had a stronger effect on the evolution of the gut microbiota than the dietary shift from predatory ancestors to pollen‐feeding (i.e. herbivorous) species. These findings have far‐reaching implications for research on the microbial symbionts of insects as well as on the nutritional physiology of the ecologically and economically important group of corbiculate bees.     

Active and adaptive Legionella CRISPR‐Cas reveals a recurrent challenge to the pathogen

Clustered regularly interspaced short palindromic repeats with CRISPR‐associated gene (CRISPR‐Cas) systems are widely recognized as critical genome defense systems that protect microbes from external threats such as bacteriophage infection. Several isolates of the intracellular pathogen Legionella pneumophila possess multiple CRISPR‐Cas systems (type I‐C, type I‐F and type II‐B), yet the targets of these systems remain unknown. With the recent observation that at least one of these systems (II‐B) plays a non‐canonical role in supporting intracellular replication, the possibility remained that these systems are vestigial genome defense systems co‐opted for other purposes. Our data indicate that this is not the case. Using an established plasmid transformation assay, we demonstrate that type I‐C, I‐F and II‐B CRISPR‐Cas provide protection against spacer targets. We observe efficient laboratory acquisition of new spacers under ‘priming’ conditions, in which initially incomplete target elimination leads to the generation of new spacers and ultimate loss of the invasive DNA. Critically, we identify the first known target of L. pneumophila CRISPR‐Cas: a 30 kb episome of unknown function whose interbacterial transfer is guarded against by CRISPR‐Cas. We provide evidence that the element can subvert CRISPR‐Cas by mutating its targeted sequences – but that primed spacer acquisition may limit this mechanism of escape. Rather than generally impinging on bacterial fitness, this element drives a host specialization event – with improved fitness in Acanthamoeba but a reduced ability to replicate in other hosts and conditions. These observations add to a growing body of evidence that host range restriction can serve as an existential threat to L. pneumophila in the wild.