Global assessment of effective population sizes: Consistent taxonomic differences in meeting the 50/500 rule.

Effective population size (Ne) is a particularly useful metric for conservation as it affects genetic drift, inbreeding and adaptive potential within populations. Current guidelines recommend a minimum Ne of 50 and 500 to avoid short-term inbreeding and to preserve long-term adaptive potential respectively. However, the extent to which wild populations reach these thresholds globally has not been investigated, nor has the relationship between Ne and human activities. Through a quantitative review, we generated a dataset with 4610 georeferenced Ne estimates from 3829 populations, extracted from 723 articles. These data show that certain taxonomic groups are less likely to meet 50/500 thresholds and are disproportionately impacted by human activities; plant, mammal and amphibian populations had a <54% probability of reaching N ̂ e = 50 and a <9% probability of reaching N ̂ e = 500. Populations listed as being of conservation concern according to the IUCN Red List had a smaller median N ̂ e than unlisted populations, and this was consistent across all taxonomic groups. N ̂ e was reduced in areas with a greater Global Human Footprint, especially for amphibians, birds and mammals, however relationships varied between taxa. We also highlight several considerations for future works, including the role that gene flow and subpopulation structure plays in the estimation of N ̂ e in wild populations, and the need for finer-scale taxonomic analyses. Our findings provide guidance for more specific thresholds based on Ne and help prioritise assessment of populations from taxa most at risk of failing to meet conservation thresholds.

Assessment of Y chromosome copy number alterations in non-neoplastic and neoplastic leukocytes of male dogs.

The loss of the Y chromosome (ChrY), also known as LOY, is a common genetic alteration observed in men. It occurs in non-neoplastic cells as an age-related change as well as in neoplastic cells of various cancer types. While well-documented in humans, LOY has not been extensively studied in non-human mammals. In this study, we developed simple digital PCR-based assays to assess the copy number of ChrY relative to the X chromosome (ChrX) and chromosome 8 (Chr8) to evaluate ChrY numerical alterations in male canine DNA specimens. Using these assays, we analyzed non-neoplastic leukocytes from 162 male dogs without hematopoietic neoplasia to investigate the occurrence of age-related LOY in non-neoplastic leukocytes. Additionally, we examined 101 tumor DNA specimens obtained from male dogs diagnosed with various types of lymphoma and leukemia to determine whether copy number alterations of the ChrY occur in canine hematopoietic cancers. Analysis of the 162 non-neoplastic leukocyte DNA specimens from male dogs of varying ages revealed a consistent ∼1:1 ChrY:ChrX ratio. This suggests that age-related LOY in non-neoplastic leukocytes is rare or absent in dogs. Conversely, a decreased or increased ChrY:ChrX ratio was detected in canine neoplastic leukocytes at varying frequencies across different canine hematopoietic malignancies (P = 0.01, Fisher's exact test). Notably, a higher incidence of LOY was observed in more aggressive cancer types. To determine if this relative LOY to ChrX was caused by changes in ChrY or ChrX, we further analyzed their relative copy numbers using Chr8 as a reference. Loss of ChrX relative to Chr8 was found in 21% (9/41) of B-cell lymphomas and 6% (1/18) of non-T-zone/high-grade T-cell lymphomas. In contrast, a subset (29%, 4/14) of T-cell chronic lymphocytic leukemia showed gain of ChrX relative to Chr8. Notably, no relative LOY to Chr8 was detected indolent hematopoietic cancers such as T-zone lymphoma (0/9) and chronic lymphocytic leukemia of B-cell (0/11) and T-cell origins (0/14). However, relative LOY to Chr8 was present in more aggressive canine hematopoietic cancers, with incidences of 24% (10/41) in B-cell lymphoma, 44% (8/18) in non-T-zone/high-grade T-cell lymphoma, and 75% (6/8) in acute leukemia. This study highlights both similarities and differences in LOY between human and canine non-neoplastic and neoplastic leukocytes. It underscores the need for further research into the role of ChrY in canine health and disease, as well as the significance of LOY across various species.

Tuning plasmid DNA amounts for cost-effective transfections of mammalian cells: when less is more.

Transient gene expression (TGE) in mammalian cells is a well-known approach to the fast expression of recombinant proteins. The human cell line HEK (human embryonic kidney) 293F is widely used in this field, due to its adaptability to grow in suspension to high cell densities in serum-free media, amenability to transfection, and production of recombinant proteins in satisfactory quantities for functional and structural analysis. Amounts of plasmid DNA (pDNA) required in transfections for TGE remain high (usually 1 µg pDNA/mL, or even higher), representing a noticeable proportion of the overall cost. Thus, there is an economic need to reduce amounts of coding pDNA in TGE processes. In this work, amounts of both pDNA and transfecting agent used for TGE in HEK 293F cells have been explored in order to reduce them without compromising (or even improving) the productivity of the process in terms of protein yield. In our hands, minimal polyethyleneimine (PEI) cytotoxicity and optimum protein yields were obtained when transfecting at 0.5 µg pDNA/mL (equal to 0.5 µg pDNA/million cells) and a DNA-to-PEI ratio of 1:3, a trend confirmed for several unrelated recombinant proteins. Thus, carefully tuning pDNA and transfecting agent amounts not only reduces the economic costs but also results in higher recombinant protein yields. These results surely have a direct application and interest for the biopharmaceutical industry, always concerned in increasing productivity while decreasing economic costs. KEY POINTS: • Mammalian cells are widely used to produce recombinant proteins in short times. • Tuning DNA and transfecting agent are of great interest to optimize economic costs. • Reducing DNA and transfecting agent amounts result in higher protein yields.

The Expanding Dissemination and Distribution Patterns of Diverse CRISPR Plasmids by Addgene.

CRISPR-based technologies have rapidly enabled the democratization of genome editing in academic institutions through distribution by Addgene over the past decade. Recently, several distribution milestones have been reached, with a collection of >15,000 plasmids deposited by >1,000 laboratories spanning ∼40 countries now shipped 300,000 times to ∼5,000 organizations traversing ∼100 countries. Yet, both deposits of and requests for CRISPR plasmids continue to rise for this disruptive technology. Distribution patterns revealed robust demand for three distinct classes of CRISPR effectors, namely nucleases (e.g., Cas9 and Cas12), modulators (deactivated CRISPR nucleases fused to transcriptional regulators and epigenome modifiers), and chimeric effectors (Cas proteins fused to enzymes carrying out other activities such as deamination, reverse transcription, transposition, and integration). Yearly deposits over the past decade are requested in near-even proportions, reflecting continuous technological development and requests for novel constructs. Though it is unclear whether the slowing rate of requests is inherent to a pandemic operational lag or a transition from emerging to mature technology, it is noteworthy that the relative proportion of requests from plasmids deposited in the previous year remains stable, suggesting robust development of novel tools concurrent with continued adoption of editing, base editing, prime editing, and more. Predictably, most requested plasmids are designed for mammalian genome manipulation, presumably for medical research and human health pursuits, reflecting investments in therapeutic applications. Concurrently, requests for plant and microbial constructs are on the rise, especially in regions of the world more reliant on local agricultural inputs and focused on food and feed applications, illustrating continued diversification of genome editing applications.

Emerging Roles of RNA Methylation in Development.

More than 170 different types of chemical modifications have been identified on diverse types of RNA, collectively known as the epitranscriptome. Among them, N6-methyladenine (m6A), 5-methylcytosine (m5C), N1-methyladenine (m1A), and N7-methylguanosine (m7G) as the ubiquitous post-transcriptional modification are widely involved in regulating the metabolic processes such as RNA degradation, translation, stability, and export, mediating important physiological and pathological processes such as stress regulation, immune response, development, and tumorigenesis. Recently, the regulatory role of RNA modification during developmental processes is getting more attention. Therefore, the development of low-input even single-cell and high-resolution sequencing technologies is crucial for the exploration of the regulatory roles of RNA modifications in these important biological events of trace samples.This account focuses on the roles of RNA modifications in various developmental processes. We describe the distribution characteristics of various RNA modifications, catalytic enzymes, binding proteins, and the development of sequencing technologies. RNA modification is dynamically reversible, which can be catalyzed by methyltransferases and eliminated by demethylases. RNA m6A is the most abundant post-transcriptional modification on eukaryote mRNA, which is mainly concentrated near the stop codon, and involves in RNA metabolism regulation. RNA m5C, another most studied RNA modification, has been identified in a various of organisms and RNA species, mainly enriched in the regions downstream of translation initiation sites and broadly distributes across the whole coding sequence (CDS) in mammalian mRNAs. RNA m1A, with a lower abundance than m6A, is widely distributed in various RNA types, mainly locates in the 5' untranslated region (5'UTR) of mRNA and regulates translation. RNA m7G, one of the most common RNA modifications in eukaryotes, has been identified at cap regions and internal positions of RNAs and recently gained considerable attention.Thanks to the development of sequencing technology, m6A has been found to regulate the tumorigenic process, including tumor proliferation, invasion, and metastasis by modulating oncogenes and tumor suppressor genes, and affect oocyte maturation and embryonic development through regulating maternal and zygotic genes. m5C related proteins have been identified to participate in embryonic development, plant growth, and neural stem cell differentiation in a m5C dependent manner. m1A also has been revealed to be involved in these developmental processes. m7G dysregulation mainly involves in neurodevelopmental disorders and neurodegenerative diseases.Collectively, we summarized the gradually exhibited roles of RNA methylation during development, and discussed the possibility of RNA modifications as candidate biomarkers and potential therapeutic targets. The technological development is anticipated as the major driving force to expand our knowledge in this field.

NAxtra magnetic nanoparticles for low-cost, efficient isolation of mammalian DNA and RNA.

A cost-effective, viral nucleic acid (NA) isolation kit based on NAxtra magnetic nanoparticles was developed at the Norwegian University of Science and Technology in response to the shortage of commercial kits for isolation of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA during the coronavirus disease 2019 (COVID-19) pandemic. This method showed comparable sensitivity to available kits at significantly reduced cost, making its application for other biological sources an intriguing prospect. Thus, based on this low-cost nucleic acid extraction technology, we developed a simple, low- and high-throughput, efficient method for isolation of high-integrity total NA, DNA and RNA from mammalian cell lines (monolayer) and organoids (3D-cultures). The extracted NA are compatible with downstream applications including (RT-)qPCR and next-generation sequencing. When automated, NA isolation can be performed in 14 min for up to 96 samples, yielding similar quantities to available kits.

Assessment of the Cardiac Noncoding Transcriptome by Single-Cell RNA Sequencing Identifies FIXER, a Conserved Profibrogenic Long Noncoding RNA.

BACKGROUND: Cardiac fibroblasts have crucial roles in the heart. In particular, fibroblasts differentiate into myofibroblasts in the damaged myocardium, contributing to scar formation and interstitial fibrosis. Fibrosis is associated with heart dysfunction and failure. Myofibroblasts therefore represent attractive therapeutic targets. However, the lack of myofibroblast-specific markers has precluded the development of targeted therapies. In this context, most of the noncoding genome is transcribed into long noncoding RNAs (lncRNAs). A number of lncRNAs have pivotal functions in the cardiovascular system. lncRNAs are globally more cell-specific than protein-coding genes, supporting their importance as key determinants of cell identity. METHODS: In this study, we evaluated the value of the lncRNA transcriptome in very deep single-cell RNA sequencing. We profiled the lncRNA transcriptome in cardiac nonmyocyte cells after infarction and probed heterogeneity in the fibroblast and myofibroblast populations. In addition, we searched for subpopulation-specific markers that can constitute novel targets in therapy for heart disease. RESULTS: We demonstrated that cardiac cell identity can be defined by the sole expression of lncRNAs in single-cell experiments. In this analysis, we identified lncRNAs enriched in relevant myofibroblast subpopulations. Selecting 1 candidate we named FIXER (fibrogenic LOX-locus enhancer RNA), we showed that its silencing limits fibrosis and improves heart function after infarction. Mechanitically, FIXER interacts with CBX4, an E3 SUMO protein ligase and transcription factor, guiding CBX4 to the promoter of the transcription factor RUNX1 to control its expression and, consequently, the expression of a fibrogenic gene program.. FIXER is conserved in humans, supporting its translational value. CONCLUSIONS: Our results demonstrated that lncRNA expression is sufficient to identify the various cell types composing the mammalian heart. Focusing on cardiac fibroblasts and their derivatives, we identified lncRNAs uniquely expressed in myofibroblasts. In particular, the lncRNA FIXER represents a novel therapeutic target for cardiac fibrosis.

Global Assessment of Protein Translation in Mammalian Cells Using Polysome Fractionation.

A character of active protein translation is formation of multiple ribosomes, or polysomes, on translating mRNAs. Polysome intensity reflects global cellular translation activity and can be assessed after biochemical fractionations of polysomes. Polysome fractionation begins with immobilizing ribosomes on mRNAs using inhibitors of translation elongation, for example, cycloheximide. Nuclei-free cell lysates are then isolated and layered on the top of a sucrose gradient for ultracentrifugation to separate ribosomal subunits, monosome, and multiple fractions of polysomes by their different sedimentation rates along the sucrose gradient. A density gradient fractionation system including a spectrophotometer reads the RNA absorbance of the flowed gradient and generates the fractions. These fractions can be subjected to further RNA and protein analyses, for example, polysome profiling and mass spectrometry. Here, we present a detailed protocol of polysome fractionation for mammalian cells.

Direct and cost-effective method for histone isolation from cultured mammalian cells.

Histones are an essential part of nucleosomes that regulate chromatin structure and function. Histone exchanges and modifications represent a scaffold for DNA transcription, repair, and replication. Studying histones and histone code is an important and fast-developing branch of epigenetic science. Here we propose a fast, efficient, and versatile assay for nucleosomal histone isolation from mammalian cells, without the use of acids or high salt solutions which are common for other histone isolation techniques. All components used in the protocol are common and inexpensive laboratory chemicals. The protocol has been evaluated on six commonly used cell lines and two animal tissue samples. The mild extraction conditions preserve delicate histone epigenetic changes, allowing its downstream analyses. We have demonstrated the assays' successful application during changes in the transcriptional activity of histone genes, cell cycle transitions, and DNA-damaging conditions. Histone fractions, obtained by the protocol, can be used for further applications, such as electrophoresis, immunoblot, and mass spectrometry. Therefore, the new proposed nucleosomal histone isolation method is sensitive, specific, and suitable for downstream applications of various kinds.

SIRT7 suppresses energy expenditure and thermogenesis by regulating brown adipose tissue functions in mice.

Brown adipose tissue plays a central role in the regulation of the energy balance by expending energy to produce heat. NAD+-dependent deacylase sirtuins have widely been recognized as positive regulators of brown adipose tissue thermogenesis. However, here we reveal that SIRT7, one of seven mammalian sirtuins, suppresses energy expenditure and thermogenesis by regulating brown adipose tissue functions. Whole-body and brown adipose tissue-specific Sirt7 knockout mice have higher body temperature and energy expenditure. SIRT7 deficiency increases the protein level of UCP1, a key regulator of brown adipose tissue thermogenesis. Mechanistically, we found that SIRT7 deacetylates insulin-like growth factor 2 mRNA-binding protein 2, an RNA-binding protein that inhibits the translation of Ucp1 mRNA, thereby enhancing its inhibitory action on Ucp1. Furthermore, SIRT7 attenuates the expression of batokine genes, such as fibroblast growth factor 21. In conclusion, we propose that SIRT7 serves as an energy-saving factor by suppressing brown adipose tissue functions.

Model-based assessment of mammalian cell metabolic functionalities using omics data.

Omics experiments are ubiquitous in biological studies, leading to a deluge of data. However, it is still challenging to connect changes in these data to changes in cell functions because of complex interdependencies between genes, proteins, and metabolites. Here, we present a framework allowing researchers to infer how metabolic functions change on the basis of omics data. To enable this, we curated and standardized lists of metabolic tasks that mammalian cells can accomplish. Genome-scale metabolic networks were used to define gene sets associated with each metabolic task. We further developed a framework to overlay omics data on these sets and predict pathway usage for each metabolic task. We demonstrated how this approach can be used to quantify metabolic functions of diverse biological samples from the single cell to whole tissues and organs by using multiple transcriptomic datasets. To facilitate its adoption, we integrated the approach into GenePattern (www.genepattern.org-CellFie).

Molecular assessment of dietary niche partitioning in an endemic island radiation of tropical mammals.

Island radiations represent unique evolutionary histories in unique ecological contexts. These radiations provide opportunities to investigate ecological diversification in groups that typically exhibit niche partitioning among their constituents, including partitioning of food resources. DNA metabarcoding produces finer levels of diet identification than traditional methods, allowing us to examine dietary niche partitioning in communities or clades in which species share superficially similar diets. Here, we use DNA metabarcoding to investigate dietary niche partitioning in an endemic radiation of mammals in the Philippines. Our data reveal niche partitioning as well as phylogenetically-uncorrelated adaptive evolution in this small mammal community. Because 70% of the focal species belong to the tribe Chrotomyini, an endemic Philippine radiation of murid rodents that feed extensively on earthworms, this study sheds light on dietary adaptation and its role in the co-occurrence of closely related species. Our results reveal fine-scale resource partitioning within this community; our data provide compelling evidence for niche partitioning of diet that was masked by previous diet categories and will help in further dissecting the model adaptive radiation of endemic small mammals on Luzon. This study reinforces the notion that DNA metabarcoding can be a valuable tool for investigating both ecological relationships and evolutionary ecology at the community and phylogenetic level, respectively.

eDNA sampled from stream networks correlates with camera trap detection rates of terrestrial mammals.

Biodiversity monitoring delivers vital information to those making conservation decisions. Comprehensively measuring terrestrial biodiversity usually requires costly methods that can rarely be deployed at large spatial scales over multiple time periods, limiting conservation efficiency. Here we investigated the capacity of environmental DNA (eDNA) from stream water samples to survey terrestrial mammal diversity at multiple spatial scales within a large catchment. We compared biodiversity information recovered using an eDNA metabarcoding approach with data from a dense camera trap survey, as well as the sampling costs of both methods. Via the sampling of large volumes of water from the two largest streams that drained the study area, eDNA metabarcoding provided information on the presence and detection probabilities of 35 mammal taxa, 25% more than camera traps and for half the cost. While eDNA metabarcoding had limited capacity to detect felid species and provide individual-level demographic information, it is a cost-efficient method for large-scale monitoring of terrestrial mammals that can offer sufficient information to solve many conservation problems.

Genome-scale reconstructions of the mammalian secretory pathway predict metabolic costs and limitations of protein secretion.

In mammalian cells, >25% of synthesized proteins are exported through the secretory pathway. The pathway complexity, however, obfuscates its impact on the secretion of different proteins. Unraveling its impact on diverse proteins is particularly important for biopharmaceutical production. Here we delineate the core secretory pathway functions and integrate them with genome-scale metabolic reconstructions of human, mouse, and Chinese hamster ovary cells. The resulting reconstructions enable the computation of energetic costs and machinery demands of each secreted protein. By integrating additional omics data, we find that highly secretory cells have adapted to reduce expression and secretion of other expensive host cell proteins. Furthermore, we predict metabolic costs and maximum productivities of biotherapeutic proteins and identify protein features that most significantly impact protein secretion. Finally, the model successfully predicts the increase in secretion of a monoclonal antibody after silencing a highly expressed selection marker. This work represents a knowledgebase of the mammalian secretory pathway that serves as a novel tool for systems biotechnology.

Development of a biochemical and biophysical suite for integral membrane protein targets: A review.

The generation of integral membrane proteins (IMPs) in heterologous systems and their characterization remains a major challenge in biomedical research. Significant efforts have been invested both in academia and in the pharmaceutical industry to establish technologies for the expression, isolation and characterization of IMPs. Here we summarize some of the key aspects, which are important to support structure-based drug design (SBDD) in drug discovery projects. We furthermore include timeline estimates and an overview of the target selection and biophysical screening approaches.

The evolution of infanticide by females in mammals.

In most mammalian species, females regularly interact with kin, which is expected to reduce aggressive competitive behaviour among females. It may thus be difficult to understand why infanticide by females has been reported in numerous species and is sometimes perpetrated by groupmates. Here, we investigate the evolutionary determinants of infanticide by females by combining a quantitative analysis of the taxonomic distribution of infanticide with a qualitative synthesis of the circumstances of infanticidal attacks in published reports. Our results show that female infanticide is widespread across mammals and varies in relation to social organization and life history, being more frequent where females breed in groups and have intense bouts of high reproductive output. Specifically, female infanticide occurs where the proximity of conspecific offspring directly threatens the killer's reproductive success by limiting access to critical resources for her dependent progeny, including food, shelters, care or a social position. By contrast, infanticide is not immediately modulated by the degree of kinship among females, and females occasionally sacrifice closely related infants. Our findings suggest that the potential direct fitness rewards of gaining access to reproductive resources have a stronger influence on the expression of female aggression than the indirect fitness costs of competing against kin. This article is part of the theme issue 'The evolution of female-biased kinship in humans and other mammals'.

Predicting enhancers in mammalian genomes using supervised hidden Markov models.

BACKGROUND: Eukaryotic gene regulation is a complex process comprising the dynamic interaction of enhancers and promoters in order to activate gene expression. In recent years, research in regulatory genomics has contributed to a better understanding of the characteristics of promoter elements and for most sequenced model organism genomes there exist comprehensive and reliable promoter annotations. For enhancers, however, a reliable description of their characteristics and location has so far proven to be elusive. With the development of high-throughput methods such as ChIP-seq, large amounts of data about epigenetic conditions have become available, and many existing methods use the information on chromatin accessibility or histone modifications to train classifiers in order to segment the genome into functional groups such as enhancers and promoters. However, these methods often do not consider prior biological knowledge about enhancers such as their diverse lengths or molecular structure. RESULTS: We developed enhancer HMM (eHMM), a supervised hidden Markov model designed to learn the molecular structure of promoters and enhancers. Both consist of a central stretch of accessible DNA flanked by nucleosomes with distinct histone modification patterns. We evaluated the performance of eHMM within and across cell types and developmental stages and found that eHMM successfully predicts enhancers with high precision and recall comparable to state-of-the-art methods, and consistently outperforms those in terms of accuracy and resolution. CONCLUSIONS: eHMM predicts active enhancers based on data from chromatin accessibility assays and a minimal set of histone modification ChIP-seq experiments. In comparison to other 'black box' methods its parameters are easy to interpret. eHMM can be used as a stand-alone tool for enhancer prediction without the need for additional training or a tuning of parameters. The high spatial precision of enhancer predictions gives valuable targets for potential knockout experiments or downstream analyses such as motif search.

Conditional Approximate Bayesian Computation: A New Approach for Across-Site Dependency in High-Dimensional Mutation-Selection Models.

A key question in molecular evolutionary biology concerns the relative roles of mutation and selection in shaping genomic data. Moreover, features of mutation and selection are heterogeneous along the genome and over time. Mechanistic codon substitution models based on the mutation-selection framework are promising approaches to separating these effects. In practice, however, several complications arise, since accounting for such heterogeneities often implies handling models of high dimensionality (e.g., amino acid preferences), or leads to across-site dependence (e.g., CpG hypermutability), making the likelihood function intractable. Approximate Bayesian Computation (ABC) could address this latter issue. Here, we propose a new approach, named Conditional ABC (CABC), which combines the sampling efficiency of MCMC and the flexibility of ABC. To illustrate the potential of the CABC approach, we apply it to the study of mammalian CpG hypermutability based on a new mutation-level parameter implying dependence across adjacent sites, combined with site-specific purifying selection on amino-acids captured by a Dirichlet process. Our proof-of-concept of the CABC methodology opens new modeling perspectives. Our application of the method reveals a high level of heterogeneity of CpG hypermutability across loci and mild heterogeneity across taxonomic groups; and finally, we show that CpG hypermutability is an important evolutionary factor in rendering relative synonymous codon usage. All source code is available as a GitHub repository (https://github.com/Simonll/LikelihoodFreePhylogenetics.git).

Parasite insight: assessing fitness costs, infection risks and foraging benefits relating to gastrointestinal nematodes in wild mammalian herbivores.

Mammalian herbivores are typically infected by parasitic nematodes, which are acquired through direct, faecal-oral transmission. These parasites can cause significant production losses in domestic livestock, but much less is known about impacts on wild mammalian hosts. We review three elements of parasitism from the host's perspective: fitness costs of infection, risks of infection during foraging and benefits of nutritious pasture. The majority of wildlife studies have been observational, but experimental manipulation is increasing. Treatment with anthelmintics to manipulate parasite load has revealed varied impacts of parasites on fitness variables across host species, but has not produced consistent evidence for parasite-induced anorexia or impaired body condition. Some experimental studies of infection risk have manipulated faecal contamination and detected faecal avoidance by hosts. Only two field studies have explored the trade-off between infection risk and nutritional benefit generated by avoidance of contaminated patches. Overall, field studies of costs, risks and benefits of the host-parasite relationship are limited and few have examined more than one of these elements. Parasitism has much in common with predation, and future insights into anti-parasite responses by wild hosts could be gained from the conceptual and technical developments in research on anti-predator behaviour.This article is part of the Theo Murphy meeting issue 'Evolution of pathogen and parasite avoidance behaviours'.

Tagged ATG8-Coding Constructs for the In Vitro and In Vivo Assessment of ATG4 Activity.

Autophagy is a catabolic pathway, which mediates the degradation of cytoplasmic components and sustains many essential cellular functions. More than 30 genes have been involved in different aspects of this essential process in simple eukaryotes as yeast. Among these genes, those coding for members of the Atg4-Atg8 proteolytic system have acquired a high degree of complexity throughout evolution. Contrasting with the situation in unicellular eukaryotes, in which the system is composed by just a single protease (Atg4) and a single substrate (Atg8), evolution has led to the presence of several members for both Atg4 and Atg8 families in multicellular organisms. In human cells, there are four Atg4 proteases and six Atg8 substrates, which have probably evolved to cope with specific requirements for autophagic pathway in more complex scenarios. Despite these considerations, the reasons for the evolutionarily acquired complexity of this proteolytic system are still not completely understood. In this work, we describe two different applications of a relatively simple but useful technique to analyze protease-substrate specificity of this system in mammalian cells. By using the described technique, it is possible to determine the cellular efficiency in the initial cleavage for each of the Atg8 family members in diverse experimental settings both in cultured cells and live laboratory mice.