piRNAs can trigger a multigenerational epigenetic memory in the germline of C. elegans

Transgenerational effects have wide-ranging implications for human health, biological adaptation, and evolution; however, their mechanisms and biology remain poorly understood. Here, we demonstrate that a germline nuclear small RNA/chromatin pathway can maintain stable inheritance for many generations when triggered by a piRNA-dependent foreign RNA response in C. elegans. Using forward genetic screens and candidate approaches, we find that a core set of nuclear RNAi and chromatin factors is required for multigenerational inheritance of environmental RNAi and piRNA silencing. These include a germline-specific nuclear Argonaute HRDE1/WAGO-9, a HP1 ortholog HPL-2, and two putative histone methyltransferases, SET-25 and SET-32. piRNAs can trigger highly stable long-term silencing lasting at least 20 generations. Once established, this long-term memory becomes independent of the piRNA trigger but remains dependent on the nuclear RNAi/chromatin pathway. Our data present a multigenerational epigenetic inheritance mechanism induced by piRNAs.     

Analysis of transcripts from intracellular stages of Eimeria acervulina using expressed sequence tags

Coccidiosis in chickens is caused by 7 species of Eimeria. Even though coccidiosis is a complex disease that can be caused by any combination of these species, most of the molecular research concerning chicken coccidiosis has been limited to Eimeria tenella. The present study describes the first large-scale analysis of expressed sequence tags (ESTs) generated primarily from second-stage merozoites (and schizonts) of E. acervulina. In total, 1,847 ESTs were sequenced; these represent 1,026 unique sequences. Approximately half of the ESTs encode proteins of unknown function, or hypothetical proteins. Twenty-nine percent of the E. acervulina ESTs share significant sequence identity with sequences in the E. tenella genome. Additionally, EST hits seem to be much different compared with those of E. tenella. One of the differences is the very low number of ESTs that encode putative microneme proteins. This study underlines the potential differences in the molecular aspects of 2 Eimeria species that in the past were thought to be highly similar in nature.     

Carnivore-livestock conflicts: determinants of wolf (Canis lupus) depredation on sheep farms in Finland

Wolves (Canis lupus) have recently expanded their distribution range into western and southern Finland, which has not hosted breeding wolves for over 100 years. This has raised concerns and public debate over wolf-livestock conflicts. Between 1998 and 2004 there were 45 wolf attacks on sheep on 34 farms. To assess the risk wolves may pose to sheep husbandry, we used data on depredation, sheep management, landscape structure and moose and wolf populations from continental Finland outside the area of reindeer husbandry to build models of the factors that may predispose sheep farms to wolf depredation. Our results provided evidence that sheep farms with the highest risk of wolf depredation were those located in regions where wolves were abundant. These farms were usually located close to the Russian border where the landscape is a mosaic of forest, wetlands and clear cut areas. These regions are sparsely populated by humans and farms are located far from each other. Finally, we generated probability maps based on generalised additive modelling to predict the risk of wolf predation on livestock in farms of southern Finland.     

Modelling the occurrence of threatened plant species in taiga landscapes: methodological and ecological perspectives

Aim Understanding the spatial patterns of species distribution and predicting the occurrence of high biological diversity and rare species are central themes in biogeography and environmental conservation. The aim of this study was to model and scrutinize the relative contributions of climate, topography, geology and land‐cover factors to the distributions of threatened vascular plant species in taiga landscapes in northern Finland. Location North‐east Finland, northern Europe. Methods The study was performed using a data set of 28 plant species and environmental variables at a 25‐ha resolution. Four different stepwise selection algorithms [Akaike information criterion (AIC), Bayesian information criterion (BIC), adaptive backfitting, cross selection] with generalized additive models (GAMs) were fitted to identify the main environmental correlates for species occurrences. The accuracies of the distribution models were evaluated using fourfold cross‐validation based on the area under the curve (AUC) derived from receiver operating characteristic plots. The GAMs were tentatively extrapolated to the whole study area and species occurrence probability maps were produced using GIS techniques. The effect of spatial autocorrelation on the modelling results was also tested by including autocovariate terms in the GAMs. Results According to the AUC values, the model performance varied from fair to excellent. The AIC algorithm provided the highest mean performance (mean AUC = 0.889), whereas the lowest mean AUC (0.851) was obtained from BIC. Most of the variation in the distribution of threatened plant species was related to growing degree days, temperature of the coldest month, water balance, cover of mire and mean elevation. In general, climate was the most powerful explanatory variable group, followed by land cover, topography and geology. Inclusion of the autocovariate only slightly improved the performance of the models and had a minor effect on the importance of the environmental variables. Main conclusions The results confirm that the landscape‐scale distribution patterns of plant species can be modelled well on the basis of environmental parameters. A spatial grid system with several environmental variables derived from remote sensing and GIS data was found to produce useful data sets, which can be employed when predicting species distribution patterns over extensive areas. Landscape‐scale maps showing the predicted occurrences of individual or multiple threatened plant species may provide a useful basis for focusing field surveys and allocating conservation efforts.     

A survey of type I interferons from a marsupial and monotreme: implications for the evolution of the type I interferon gene family in mammals

Sequence data for type I interferons (IFNs) have previously only been available for birds and eutherian ('placental') mammals, but not for the other two groups of extant mammals, the marsupials and monotremes. This has left a large gap in our knowledge of the evolutionary and functional relationships of what is a complex gene family in eutherians. In this study, a PCR-based survey of type I IFN genes from a marsupial, the tammar wallaby (Macropus eugenii), and a monotreme, the short-beaked echidna (Tachyglossus aculeatus), was conducted. Along with Southern blot and phylogenetic analysis, this revealed a large number of type I IFN genes for the wallaby, rivalling that of eutherians, but relatively few type I IFN genes in the echidna. The wallaby genes include both IFNA and IFNB orthologues, indicating that the gene duplication leading to these subtypes occurred prior to the divergence of marsupials and eutherians some 130 million years ago. Results from this study support the idea that the expansion of type I IFN gene complexity in mammals coincides with a concomitant expansion in the functionality of these molecules. For example, this expansion in complexity may have, at least partially, facilitated the evolution of viviparity in marsupials and eutherians. Other evolutionary aspects of these sequences are also discussed.