Introduced Scotch broom (Cytisus scoparius) invades the genome of native populations in vulnerable heathland habitats

Cytisus scoparius is a global invasive species that affects local flora and fauna at the intercontinental level. Its natural distribution spans across Europe, but seeds have also been moved among countries, mixing plants of native and non‐native genetic origins. Hybridization between the introduced and native gene pool is likely to threaten both the native gene pool and the local flora. In this study, we address the potential threat of invasive C. scoparius to local gene pools in vulnerable heathlands. We used nuclear single nucleotide polymorphic (SNP) and simple sequence repeat (SSR) markers together with plastid SSR and indel markers to investigate the level and direction of gene flow between invasive and native heathland C. scoparius. Analyses of population structures confirmed the presence of two gene pools: one native and the other invasive. The nuclear genome of the native types was highly introgressed with the invasive genome, and we observed advanced‐generation hybrids, suggesting that hybridization has been occurring for several generations. There is asymmetrical gene flow from the invasive to the native gene pool, which can be attributed to higher fecundity in the invasive individuals, measured by the number of flowers and seed pods. Strong spatial genetic structure in plastid markers and weaker structure in nuclear markers suggest that seeds spread over relatively short distances and that gene flow over longer distances is mainly facilitated by pollen dispersal. We further show that the growth habits of heathland plants become more vigorous with increased introgression from the invaders. Implications of the findings are discussed in relation to future management of invading C. scoparius.     

Effects of water fluctuations on microbial mass and activity in soil

When previously dried soil was remoistened, a series of microbial events occurred. The bacterial plate count population increased rapidly, with a doubling time of 4–5 h. The length of fungal hyphae and microscopic counts of bacteria increased more slowly. The microscopically counted bacterial population was estimated to have a doubling time of about 90 h. The respiratory burst occurring after 2–3 days coincided with the maximal growth rate of the bacterial plate count population. From the respiratory data, plate count bacteria were estimated to have a cell mass of 0.4 pg dry weight, whereas the mass of microscopically counted bacteria was only 10% of this. Changes in bacterial DNA content corresponded to changes in the microscopic count, whereas changes in soil catalase activity mainly corresponded to changes in the fungal biomass, which was dominant.It is suggested that bacterial plate counts and microscopic counts represent two distinct populations of bacteria, which for practical purposes may be termed zymogenous and autochthonous, respectively.     

Long-term Anticoagulant Therapy after Myocardial Infarction in Women

A multicentre trial from five medical departments in Oslo has been carried out to determine the value in women patients of one year''s long-term anticoagulant therapy. Follow-up long-term laboratory control and anticoagulant dosage were performed at one centre (the Rikshospitalet). One hundred and fifty-nine patients were assigned randomly into two similar well-matched groups (control and treatment). Dosage was controlled by Thrombotest, aiming at 10–20% levels, and 50% of the tests were less than 14%. Compared with the control group, the treatment group showed a significant reduction in mortality and in reinfarction rate. No serious bleeding complications occurred. It is concluded that women benefit as much as men from long-term anticoagulant therapy.     

Self-reported diseases and symptoms by rupture status among unselected Danish women with cosmetic silicone breast implants

Epidemiologic evidence does not support an association between silicone breast implants and connective tissue or other rheumatic diseases. However, a recent study has suggested that women with ruptured implants may be at increased risk of developing fibromyalgia. An analysis of adverse health outcomes according to breast implant rupture status was conducted in 238 unselected Danish women with cosmetic silicone breast implants. Ninety-two of the women had definite implant rupture, and 146 had intact implants as determined by magnetic resonance imaging. Before undergoing imaging, the women provided blood samples and completed a self-administered questionnaire. Women with ruptured implants overall, and the subgroup with extracapsular ruptures (n = 23), were compared with women with intact implants regarding a number of self-reported diseases and symptoms and the presence of specific autoantibodies, such as antinuclear antibodies, rheumatoid factor, and cardiolipin immunoglobulin G and M antibodies. Overall, there were no differences in the occurrence of self-reported diseases or symptoms or in the presence of autoantibodies between women with intact implants and women with ruptured implants, including extracapsular rupture. The only exception was capsular contracture, which was reported six times more frequently by women with extracapsular ruptures than by women with intact implants (OR, 6.3; 95 percent CI, 1.7 to 23.5). In conclusion, this study of unselected women with silicone breast implants could establish no association between silicone implant rupture and specific diseases or symptoms related to connective tissue disease or other rheumatic conditions, except for an excess of capsular contracture among women with extracapsular rupture.     

Spatio-temporal variation in species assemblages in field edges: seasonally distinct responses of solitary bees to local habitat characteristics and landscape conditions

The bees (Hymenoptera: Apiformes) are important pollinators in many ecosystems, but their diversity has declined in Europe during the past century, mainly due to habitat loss. However, some of the habitat requirements of wild bees are met in anthropogenic landscape elements, such as road sides, power-line strips and field edges. Moreover, as the bee species assemblages change throughout the season the habitat requirements of the bee fauna may change accordingly. Understanding such seasonally distinct responses of solitary bees with different phenologies may be of high value for local conservation planning. The purpose of this study was to examine if the habitat quality of field edges for solitary bees change throughout the season, and how this temporal variation relates to local habitat and landscape conditions. By sampling solitary bees in 18 field edges in southeast Norway throughout the season we found that the species richness and abundance of bees was highest in sun exposed field edges, independently of the season. However, we found phenologically distinct responses to the landscape context. Moreover, field edges situated in landscapes with a high proportion of forests and semi-natural landscape elements hosted the most phenologically diverse bee species assemblages. We conclude that in order to fulfil the habitat requirements of bee species assemblages throughout the season, one should conserve and direct habitat restoration schemes towards increasing sun exposure at field edges with a diverse flora and a high proportion of semi-natural areas in the vicinity.     

Rheological and structural characterization of the interactions between cyclodextrin compounds and hydrophobically modified alginate

Interactions in semidilute solutions of a hydrophobically modified alginate (HM-alginate) in the presence of hydroxypropyl-beta-cyclodextrin (HP-beta-CD) monomer or a beta-cyclodextrin polymer (poly(beta-CD)) have been characterized at different temperatures with the aid of rheology and small-angle neutron scattering (SANS). The viscosity results for the HM-alginate/HP-beta-CD system reveal progressive deactivation of the hydrophobic associations as the concentration of HP-beta-CD increases. For the HM-alginate/poly(beta-CD) system, on the other hand, addition of poly(beta-CD) sets up bridges between adjacent polymer chains and thereby strengthens the associative network. A novel shear-thickening effect is observed at fairly high shear rates for the HM-alginate/poly(beta-CD) system, and this feature is influenced by temperature. Elevated temperature induces higher chain mobility and the formation of weaker network associations. Analyses of the SANS data disclosed that the association strength in HM-alginate/poly(beta-CD) mixtures increases strongly with increasing cosolute concentration, whereas no effect or a moderate weakening of the strength can be traced in HM-alginate/HP-beta-CD solutions upon addition of HP-beta-CD. The value of the correlation length xi is virtually not affected by the addition of cosolute for the HM-alginate/poly(beta-CD) system, whereas the decoupling of hydrophobic moieties of the polymer upon addition of HP-beta-CD gives rise to a smaller value of xi, suggesting that the size of the heterogeneity patches is reduced. The SANS results suggest that compact association structures are formed in the HM-alginate/poly(beta-CD) solutions.     

NetSurfP-2.0: Improved prediction of protein structural features by integrated deep learning

The ability to predict local structural features of a protein from the primary sequence is of paramount importance for unraveling its function in absence of experimental structural information. Two main factors affect the utility of potential prediction tools: their accuracy must enable extraction of reliable structural information on the proteins of interest, and their runtime must be low to keep pace with sequencing data being generated at a constantly increasing speed. Here, we present NetSurfP-2.0, a novel tool that can predict the most important local structural features with unprecedented accuracy and runtime. NetSurfP-2.0 is sequence-based and uses an architecture composed of convolutional and long short-term memory neural networks trained on solved protein structures. Using a single integrated model, NetSurfP-2.0 predicts solvent accessibility, secondary structure, structural disorder, and backbone dihedral angles for each residue of the input sequences. We assessed the accuracy of NetSurfP-2.0 on several independent test datasets and found it to consistently produce state-of-the-art predictions for each of its output features. We observe a correlation of 80% between predictions and experimental data for solvent accessibility, and a precision of 85% on secondary structure 3-class predictions. In addition to improved accuracy, the processing time has been optimized to allow predicting more than 1000 proteins in less than 2 hours, and complete proteomes in less than 1 day.