You are what you eat, whenever or wherever you eat it: an integrative analysis of fish food habits in Canadian and U.S.A. waters

The degree to which fish diet differs by season and area, particularly over broad scales, was examined for the first time in temperate, contiguous north-west Atlantic Ocean waters by comparing food habit data for 10 species of fishes collected concurrently during the spring and autumn surveys in the U.S.A. (Gulf of Maine proper and Georges Bank) and in the summer survey in Canada (western Scotian Shelf and Bay of Fundy). For most species, there was a general concurrence among the three seasons and four areas: summer diets had the same dominant prey items as spring and autumn diets. Although a suite of multivariate analyses did elucidate some differences in specific proportions of the diet for these species across seasons and areas, the main prey did not substantially change for most of these species. These results suggest that there are (1) minimal differences in diet across season for these species at these taxonomic resolutions, (2) there are minimal differences in diet geographically for these species and (3) differences across species, as expected, are important. Many fisheries ecosystem and multispecies models are dependent on food habit data, where resolving seasonal and spatial differences in diet remains an important consideration; however, the present work implies that amalgamated estimates of diet from seasonal surveys may be a reasonable approach when no finer seasonal resolution exists, as long as due diligence is exercised.     

Integration of QTL and bioinformatic tools to identify candidate genes for triglycerides in mice

To identify genetic loci influencing lipid levels, we performed quantitative trait loci (QTL) analysis between inbred mouse strains MRL/MpJ and SM/J, measuring triglyceride levels at 8 weeks of age in F2 mice fed a chow diet. We identified one significant QTL on chromosome (Chr) 15 and three suggestive QTL on Chrs 2, 7, and 17. We also carried out microarray analysis on the livers of parental strains of 282 F2 mice and used these data to find cis-regulated expression QTL. We then narrowed the list of candidate genes under significant QTL using a "toolbox" of bioinformatic resources, including haplotype analysis; parental strain comparison for gene expression differences and nonsynonymous coding single nucleotide polymorphisms (SNP); cis-regulated eQTL in livers of F2 mice; correlation between gene expression and phenotype; and conditioning of expression on the phenotype. We suggest Slc25a7 as a candidate gene for the Chr 7 QTL and, based on expression differences, five genes (Polr3 h, Cyp2d22, Cyp2d26, Tspo, and Ttll12) as candidate genes for Chr 15 QTL. This study shows how bioinformatics can be used effectively to reduce candidate gene lists for QTL related to complex traits.     

Impairment of ubiquitin-proteasome system by E334K cMyBPC modifies channel proteins, leading to electrophysiological dysfunction

Cardiac arrhythmogenesis is regulated by channel proteins whose protein levels are in turn regulated by the ubiquitin-proteasome system (UPS). We have previously reported on UPS impairment induced by E334K cardiac myosin-binding protein C (cMyBPC), which causes hypertrophic cardiomyopathy (HCM) accompanied by arrhythmia. We hypothesized that UPS impairment induced by E334K cMyBPC causes accumulation of cardiac channel proteins, leading to electrophysiological dysfunction. Wild-type or E334K cMyBPC was overexpressed in HL-1 cells and primary cultured neonatal rat cardiac myocytes. The expression of E334K cMyBPC suppressed cellular proteasome activities. The protein levels of K_v1.5, Na_v1.5, Hcn4, Ca_v3.2, Ca_v1.2, Serca, RyR2, and Ncx1 were significantly higher in cells expressing E334K cMyBPC than in wild type. They further increased in cells pretreated with MG132 and had longer protein decays. The channel proteins retained the correct localization. Cells expressing E334K cMyBPC exhibited higher Ca²⁺ transients and longer action potential durations (APDs), accompanied by afterdepolarizations and higher apoptosis. Those augments of APD and Ca²⁺ transients were recapitulated by a simulation model. Although a Ca²⁺ antagonist, azelnidipine, neither protected E334K cMyBPC from degradation nor affected E334K cMyBPC incorporation into the sarcomere, it normalized the APD and Ca²⁺ transients and partially reversed the levels of those proteins regulating apoptosis, thereby attenuating apoptosis. In conclusion, UPS impairment caused by E334K cMyBPC may modify the levels of channel proteins, leading to electrophysiological dysfunction. Therefore, UPS impairment due to a mutant cMyBPC may partly contribute to the observed clinical arrhythmias in HCM patients.     

Structural differences among subfamilies of EF‐hand proteins—A view from the pseudo two‐fold symmetry axis

We have analyzed the conformations of EF‐lobes, adjacent pairs of EF‐hand domains, in a coordinate system based on the approximate two‐fold (z) axis that relates the two EF‐hands. Two parameters ‐ dE(ø), the azimuthal angle between the y‐axis and the projection of the offset vector to helix E onto the yz‐plane, and δdF(ø), the difference angle between the two helices (F1 and F2) of odd and even domains—characterize the openness of a single EF‐hand domain and of an EF‐lobe, respectively. We describe and compare values of dE(ø) and of δdF(ø) for EF‐hand proteins of five subfamilies—CTER, CPV, S100, PARV, CALP—in calci‐ and apo‐ forms, with and without bound target proteins. Each subfamily has characteristic changes associated with binding calcium and/or target proteins. Proteins 2014; 82:2915–2924. © 2014 Wiley Periodicals, Inc.     

Function‐based assessment of structural similarity measurements using metal co‐factor orientation

Structure comparison is widely used to quantify protein relationships. Although there are several approaches to calculate structural similarity, specifying significance thresholds for similarity metrics is difficult due to the inherent likeness of common secondary structure elements. In this study, metal co‐factor location is used to assess the biological relevance of structural alignments. The distance between the centroids of bound co‐factors adds a chemical and function‐relevant constraint to the structural superimposition of two proteins. This additional dimension can be used to define cut‐off values for discriminating valid and spurious alignments in large alignment sets. The hypothesis underlying our approach is that metal coordination sites constrain structural evolution, thus revealing functional relationships between distantly related proteins. A comparison of three related nitrogenases shows the sequence and fold constraints imposed on the protein structures up to 18 Å away from the centers of their bound metal clusters. Proteins 2014; 82:648–656. © 2013 Wiley Periodicals, Inc.     

Integrated metagenomic and metaproteomic analyses of marine biofilm communities

Metagenomic and metaproteomic analyses were utilized to determine the composition and function of complex air–water interface biofilms sampled from the hulls of two US Navy destroyers. Prokaryotic community analyses using PhyloChip-based 16S rDNA profiling revealed two significantly different and taxonomically rich biofilm communities (6,942 taxa) in which the majority of unique taxa were ascribed to members of the Gammaproteobacteria, Alphaproteobacteria and Clostridia. Although metagenomic sequencing indicated that both biofilms were dominated by prokaryotic sequence reads (> 91%) with the majority of the bacterial reads belonging to the Alphaproteobacteria, the Ship-1 metagenome harbored greater organismal and functional diversity and was comparatively enriched for sequences from Cyanobacteria, Bacteroidetes and macroscopic eukaryotes, whereas the Ship-2 metagenome was enriched for sequences from Proteobacteria and microscopic photosynthetic eukaryotes. Qualitative liquid chromatography-tandem mass spectrometry metaproteome analyses identified 678 unique proteins, revealed little overlap in species and protein composition between the ships and contrasted with the metagenomic data in that ~80% of classified and annotated proteins were of eukaryotic origin and dominated by members of the Bacillariophyta, Cnidaria, Chordata and Arthropoda (data deposited to the ProteomeXchange, identifier PXD000961). Within the shared metaproteome, quantitative ¹⁸O and iTRAQ analyses demonstrated a significantly greater abundance of structural proteins from macroscopic eukaryotes on Ship-1 and diatom photosynthesis proteins on Ship-2. Photosynthetic pigment composition and elemental analyses confirmed that both biofilms were dominated by phototrophic processes. These data begin to provide a better understanding of the complex organismal and biomolecular composition of marine biofilms while highlighting caveats in the interpretation of stand-alone environmental ‘-omics’ datasets.     

Bone hyperalgesia after mechanical impact stimulation: A human experimental pain model

Hyperalgesia in different musculoskeletal structures including bones is a major clinical problem. An experimental bone hyperalgesia model was developed in the present study. Hyperalgesia was induced by three different weights impacted on the shinbone in 16 healthy male and female subjects. The mechanical impact pain threshold (IPT) was measured as the height from which three weights (165, 330, and 660?g) should be dropped to elicit pain at the shinbone. Temporal summation of pain to repeated impact stimuli was assessed. All these stimuli caused bone hyperalgesia. The pressure pain threshold (PPT) was assessed by a computerized pressure algometer using two different probes (1.0 and 0.5?cm²). All parameters were recorded before (0), 24, 72, and 96?h after the initial stimulations. The IPTs were lowest 24?h after hyperalgesia induction for all three weights and the effect lasted up to 72?h (p?2 probe was significantly lower than the PPT obtained with the 0.5?cm² probe, regardless of the time. Females developed more pronounced hyperalgesia reflected in reduced IPTs and PPTs (p?p?相似文献   

Use of Quantitative PCR Detection Methods to Study Biocontrol Agents and Phytopathogenic Fungi and Oomycetes in Environmental Samples

Quantitative polymerase chain reaction (qPCR) is a versatile technique for the accurate, sensitive, reliable and high‐throughput detection and quantification of target DNA in various environmental samples, and in recent years, it has greatly contributed to the advancement of knowledge in the plant pathology field. Indeed, this technique is ideal to evaluate inoculum threshold levels and to study the epidemiology, biology and ecology of phytopathogenic fungi and oomycetes, thus opening up new research opportunities to investigate host–pathogen interactions and to address tasks related to quarantine, eradication and biosecurity. Moreover, it can be a useful tool in breeding programs. The present review analyses the most relevant applications of qPCR for the detection and quantification of filamentous fungi and oomycetes within host tissues and in soil, air and water, along with brief paragraphs focusing on new application fields such as the detection and quantification of mycotoxigenic fungi and biocontrol agents. The high potentiality of qPCR for present and future applications is highlighted together with a critical analysis of major drawbacks that need to be corrected to definitively confirm it as a preferential routine quantitative detection method.