Accurate genetic and environmental covariance estimation with composite likelihood in genome-wide association studies

Genetic and environmental covariances between pairs of complex traits are important quantitative measurements that characterize their shared genetic and environmental architectures. Accurate estimation of genetic and environmental covariances in genome-wide association studies (GWASs) can help us identify common genetic and environmental factors associated with both traits and facilitate the investigation of their causal relationship. Genetic and environmental covariances are often modeled through multivariate linear mixed models. Existing algorithms for covariance estimation include the traditional restricted maximum likelihood (REML) method and the recent method of moments (MoM). Compared to REML, MoM approaches are computationally efficient and require only GWAS summary statistics. However, MoM approaches can be statistically inefficient, often yielding inaccurate covariance estimates. In addition, existing MoM approaches have so far focused on estimating genetic covariance and have largely ignored environmental covariance estimation. Here we introduce a new computational method, GECKO, for estimating both genetic and environmental covariances, that improves the estimation accuracy of MoM while keeping computation in check. GECKO is based on composite likelihood, relies on only summary statistics for scalable computation, provides accurate genetic and environmental covariance estimates across a range of scenarios, and can accommodate SNP annotation stratified covariance estimation. We illustrate the benefits of GECKO through simulations and applications on analyzing 22 traits from five large-scale GWASs. In the real data applications, GECKO identified 50 significant genetic covariances among analyzed trait pairs, resulting in a twofold power gain compared to the previous MoM method LDSC. In addition, GECKO identified 20 significant environmental covariances. The ability of GECKO to estimate environmental covariance in addition to genetic covariance helps us reveal strong positive correlation between the genetic and environmental covariance estimates across trait pairs, suggesting that common pathways may underlie the shared genetic and environmental architectures between traits.     

The metagenomic basis of anammox metabolism in Candidatus 'Brocadia fulgida'

Anammox (anaerobic ammonium oxidation) coupled to nitrite reduction is an important step in the nitrogen cycle and has been recognized as an important sink for fixed nitrogen in the ocean. Still little is known about the genomic blueprint of different anammox species. In the present article, we discuss the important genes of anammox metabolism in Candidatus 'Brocadia fulgida' that were retrieved via a metagenomic approach.     

Identification of new Gβγ interaction sites in adenylyl cyclase 2

The role of Gβγ in adenylyl cyclase (AC) signaling is complicated due to its role as a conditional activator (AC2, AC4 and AC7) and an inhibitor (AC1, AC3 and AC8). AC2 is stimulated by Gα_s and if Gβγ is present the stimulation is synergistic. The precise mechanism of this synergistic activation is still not known. In order to further elucidate the role of Gβγ in AC2 activation by Gα_s, peptides derived from the C1 domains of AC2 were synthesized and the ability of the various peptides to regulate AC2 function was tested. Our results identify two new Gβγ-binding sites in the AC2 C1 domain, AC2 C1a 339-360 and AC2 C1b 578-602 that are involved with stimulation of AC2 by Gβγ. These two regions are different from the previously described QEHA motif in the C2 domain of AC2. Further, the recently discovered PFAHL motif was confirmed to bind and to be involved with stimulation of AC2 by Gβγ. These functional studies indicate that multiple regions of AC2 are involved in the interaction with Gβγ.     

Isolation and characterization of a prokaryotic cell organelle from the anammox bacterium Kuenenia stuttgartiensis

Anaerobic ammonium oxidizing (anammox) bacteria oxidize ammonium with nitrite to nitrogen gas in the absence of oxygen. These microorganisms form a significant sink for fixed nitrogen in the oceans and the anammox process is applied as a cost‐effective and environment‐friendly nitrogen removal system from wastewater. Anammox bacteria have a compartmentalized cell plan that consists of three separate compartments. Here we report the fractionation of the anammox bacterium Kuenenia stuttgartiensis in order to isolate and analyze the innermost cell compartment called the anammoxosome. The subcellular fractions were microscopically characterized and all membranes in the anammox cell were shown to contain ladderane lipids which are unique for anammox bacteria. Proteome analyses and activity assays with the isolated anammoxosomes showed that these organelles harbor the energy metabolism in anammox cells. Together the experimental data provide the first thorough characterization of a respiratory cell organelle from a bacterium and demonstrate the essential role of the anammoxosome in the production of a major portion of the nitrogen gas in our atmosphere.     

Quantification of Rare Cancer Cells in Patients With Gastrointestinal Cancer by Nanostructured Substrate

Detecting the cancer cells in the peripheral blood, i.e. circulating tumor cell (CTC), have been considered as the “liquid biopsy” and become a particular area of focus. A deep insight into CTC provides a potential alternative method for early diagnosis of solid tumor. Previous studies showed that CTC counts could be regarded as an indicator in tumor diagnosis, predicting clinical outcomes and monitoring treatment responses. In this report, we utilize our facile and efficient CTC detection device made of hydroxyapatite/chitosan (HA/CTS) for rare cancer cells isolation and enumeration in clinical use. A biocompatible and surface roughness controllable nanofilm was deposited onto a glass slide to achieve enhanced topographic interactions with nanoscale cellular surface components, anti-EpCAM (epithelial cell adhesion molecule, EpCAM) were then coated onto the surface of nanosubstrate for specific capture of CTCs. This device performed a considerable and stable capture yields. We evaluated the relationship performance between serial CTC changes and the changes of tumor volume/serum tumor marker in gastrointestinal cancer patients undergoing anti-cancer treatments. The present study results showed that changes in the number of CTC were associated with tumor burden and progression. Enumeration of CTCs in cancer patients may predict clinical response. Longitudinal monitoring of individual patients during the therapeutic process showed a close correlation between CTC quantity and clinical response to anti-cancer therapy. Effectively capture of this device is capable of CTCs isolation and quantification for monitoring of cancer and predicting treatment response.     

Host-derived extracellular nucleic acids enhance innate immune responses, induce coagulation, and prolong survival upon infection in insects

Extracellular nucleic acids play important roles in human immunity and hemostasis by inducing IFN production, entrapping pathogens in neutrophil extracellular traps, and providing procoagulant cofactor templates for induced contact activation during mammalian blood clotting. In this study, we investigated the functions of extracellular RNA and DNA in innate immunity and hemolymph coagulation in insects using the greater wax moth Galleria mellonella a reliable model host for many insect and human pathogens. We determined that coinjection of purified Galleria-derived nucleic acids with heat-killed bacteria synergistically increases systemic expression of antimicrobial peptides and leads to the depletion of immune-competent hemocytes indicating cellular immune stimulation. These activities were abolished when nucleic acids had been degraded by nucleic acid hydrolyzing enzymes prior to injection. Furthermore, we found that nucleic acids induce insect hemolymph coagulation in a similar way as LPS. Proteomic analyses revealed specific RNA-binding proteins in the hemolymph, including apolipoproteins, as potential mediators of the immune response and hemolymph clotting. Microscopic ex vivo analyses of Galleria hemolymph clotting reactions revealed that oenocytoids (5-10% of total hemocytes) represent a source of endogenously derived extracellular nucleic acids. Finally, using the entomopathogenic bacterium Photorhabdus luminescens as an infective agent and Galleria caterpillars as hosts, we demonstrated that injection of purified nucleic acids along with P. luminescens significantly prolongs survival of infected larvae. Our results lend some credit to our hypothesis that host-derived nucleic acids have independently been co-opted in innate immunity of both mammals and insects, but exert comparable roles in entrapping pathogens and enhancing innate immune responses.     

Ladderane lipid distribution in four genera of anammox bacteria

Intact ladderane phospholipids and core lipids were studied in four species of anaerobic ammonium oxidizing (anammox) bacteria, each representing one of the four known genera. Each species of anammox bacteria contained C(18) and C(20) ladderane fatty acids with either 3 or 5 linearly condensed cyclobutane rings and a ladderane monoether containing a C(20) alkyl moiety with 3 cyclobutane rings. The presence of ladderane lipids in all four anammox species is consistent with their putative physiological role to provide a dense membrane around the anammoxosome, the postulated site of anammox catabolism. In contrast to the core lipids, large variations were observed in the distribution of ladderane phospholipids, i.e. different combinations of hydrophobic tail (ladderane, straight chain and methyl branched fatty acid) types attached to the glycerol backbone sn-1 position, in combination with different types of polar headgroup (phosphocholine, phosphoethanolamine or phosphoglycerol) attached to the sn-3 position. Intact ladderane lipids made up a high percentage of the lipid content in the cells of "Candidatus Kuenenia stuttgartiensis", suggesting that ladderane lipids are also present in membranes other than the anammoxosome. Finally, all four investigated species contained a C(27) hopanoid ketone and bacteriohopanetetrol, which, indicates that hopanoids are anaerobically synthesised by anammox bacteria.     

Document image binarisation using a supervised neural network

Advances in digital technologies have allowed us to generate more images than ever. Images of scanned documents are examples of these images that form a vital part in digital libraries and archives. Scanned degraded documents contain background noise and varying contrast and illumination, therefore, document image binarisation must be performed in order to separate foreground from background layers. Image binarisation is performed using either local adaptive thresholding or global thresholding; with local thresholding being generally considered as more successful. This paper presents a novel method to global thresholding, where a neural network is trained using local threshold values of an image in order to determine an optimum global threshold value which is used to binarise the whole image. The proposed method is compared with five local thresholding methods, and the experimental results indicate that our method is computationally cost-effective and capable of binarising scanned degraded documents with superior results.