Dealing with uncertainty in landscape genetic resistance models: a case of three co‐occurring marsupials

Landscape genetics lacks explicit methods for dealing with the uncertainty in landscape resistance estimation, which is particularly problematic when sample sizes of individuals are small. Unless uncertainty can be quantified, valuable but small data sets may be rendered unusable for conservation purposes. We offer a method to quantify uncertainty in landscape resistance estimates using multimodel inference as an improvement over single model‐based inference. We illustrate the approach empirically using co‐occurring, woodland‐preferring Australian marsupials within a common study area: two arboreal gliders (Petaurus breviceps, and Petaurus norfolcensis) and one ground‐dwelling antechinus (Antechinus flavipes). First, we use maximum‐likelihood and a bootstrap procedure to identify the best‐supported isolation‐by‐resistance model out of 56 models defined by linear and non‐linear resistance functions. We then quantify uncertainty in resistance estimates by examining parameter selection probabilities from the bootstrapped data. The selection probabilities provide estimates of uncertainty in the parameters that drive the relationships between landscape features and resistance. We then validate our method for quantifying uncertainty using simulated genetic and landscape data showing that for most parameter combinations it provides sensible estimates of uncertainty. We conclude that small data sets can be informative in landscape genetic analyses provided uncertainty can be explicitly quantified. Being explicit about uncertainty in landscape genetic models will make results more interpretable and useful for conservation decision‐making, where dealing with uncertainty is critical.     

Identification of novel genetic markers associated with clinical phenotypes of systemic sclerosis through a genome-wide association strategy

The aim of this study was to determine, through a genome-wide association study (GWAS), the genetic components contributing to different clinical sub-phenotypes of systemic sclerosis (SSc). We considered limited (lcSSc) and diffuse (dcSSc) cutaneous involvement, and the relationships with presence of the SSc-specific auto-antibodies, anti-centromere (ACA), and anti-topoisomerase I (ATA). Four GWAS cohorts, comprising 2,296 SSc patients and 5,171 healthy controls, were meta-analyzed looking for associations in the selected subgroups. Eighteen polymorphisms were further tested in nine independent cohorts comprising an additional 3,175 SSc patients and 4,971 controls. Conditional analysis for associated SNPs in the HLA region was performed to explore their independent association in antibody subgroups. Overall analysis showed that non-HLA polymorphism rs11642873 in IRF8 gene to be associated at GWAS level with lcSSc (P = 2.32×10⁻¹², OR = 0.75). Also, rs12540874 in GRB10 gene (P = 1.27 × 10⁻⁶, OR = 1.15) and rs11047102 in SOX5 gene (P = 1.39×10⁻⁷, OR = 1.36) showed a suggestive association with lcSSc and ACA subgroups respectively. In the HLA region, we observed highly associated allelic combinations in the HLA-DQB1 locus with ACA (P = 1.79×10⁻⁶¹, OR = 2.48), in the HLA-DPA1/B1 loci with ATA (P = 4.57×10⁻⁷⁶, OR = 8.84), and in NOTCH4 with ACA P = 8.84×10⁻²¹, OR = 0.55) and ATA (P = 1.14×10⁻⁸, OR = 0.54). We have identified three new non-HLA genes (IRF8, GRB10, and SOX5) associated with SSc clinical and auto-antibody subgroups. Within the HLA region, HLA-DQB1, HLA-DPA1/B1, and NOTCH4 associations with SSc are likely confined to specific auto-antibodies. These data emphasize the differential genetic components of subphenotypes of SSc.     

用抗性筛选法选育γ—亚麻酸（GLA）高产菌株

以深黄被孢霉（Mortierella isabellina）为出发菌株,经紫外线诱变处理,采用抗性筛选法,直接在梯度平板上挑选取抗脂肪酸脱氢酶抑制物抑芽丹（maleic hydrazide）的菌株进行初筛,然后经摇瓶发酵法测定相关性能指标进行得筛,获得一株生产性能比出发菌株显提高的突变株M80,其菌体收率达25.10g/L、油脂产率达12.35g/L、γ-亚麻酸（GLA）产率达771.88mg/L。     

Superoxide dismutase in ruminal bacteria

Of 13 species of anaerobic ruminal bacteria examined, 11 were found to contain measurable levels of superoxide dismutase activity. Four of five other strict anaerobic species studied for comparison were found to contain superoxide dismutase activity.     

Treatment of Low Angle X-Ray Data from Planar and Concentric Multilayered Structures

Low angle X-ray diffraction can be recorded from planar and concentric multilayered (biological) structures. In order to proceed with the X-ray analysis the relation between the observed intensities and the Fourier transform of the unit cell is required. This relation is derived for planar structures such as retinal rods, mitochondria, and collagen; and also for nerve myelin.     

Angiographic studies of quinton—scribner arteriovenous cannulae

An analysis of 86 angiographic studies of Quinton–Scribner shunts has shown that these may be very useful in determining the cause and helping in the management of poorly functioning cannulae in patients on regular haemodialysis treatment.     

Cutting edge: Critical role for A2A adenosine receptors in the T cell-mediated regulation of colitis

A(2A) adenosine receptors (A(2A)AR) inhibit inflammation, although the mechanisms through which adenosine exerts its effects remain unclear. Although the transfer of regulatory Th cells blocks colitis induced by pathogenic CD45RB(high) Th cells, we show that CD45RB(low) or CD25+ Th cells from A(2A)AR-deficient mice do not prevent disease. Moreover, CD45RB(high) Th cells from A(2A)AR-deficient mice were not suppressed by control CD45RB(low) Th cells. A(2A)AR agonists suppressed the production of proinflammatory cytokines by CD45RB(high) and CD45RB(low) T cells in association with a loss of mRNA stability. In contrast, anti-inflammatory cytokines, including IL-10 and TGF-beta, were minimally affected. Oral administration of the A(2A)AR agonist ATL313 attenuated disease in mice receiving CD45RB(high) Th cells. These data suggest that A(2A)AR play a novel role in the control of T cell-mediated colitis by suppressing the expression of proinflammatory cytokines while sparing anti-inflammatory activity mediated by IL-10 and TGF-beta.