Endangered Pinzgauer cattle subtype Jochberger Hummel are genetically distinct

Autochthonous cattle breeds are an important part of cultural heritage and reservoir of genetic diversity. Usually, such breeds have been selected over centuries and reflect adaptation to a specific local environment and human demands. However, owing to low effective population size in conjunction with increased inbreeding and genetic drift, many of these lineages are threatened with extinction. The Jochberger Hummel (‘Jochberger Bumblebee’) is such an endangered subtype of the Pinzgauer cattle originating from a single polled female calf. To evaluate the suspected uniqueness of this subtype and to assess whether it should be kept separate or managed together with the Pinzgauer cattle as one population, I examined the genetic diversity in a set of 844 cattle (Angus, Charolais, Holstein, Jochberger Hummel, Pinzgauer, Uckermaerker and Tux-Zillertaler) using principal component and biogeographical ancestry analysis. The analysis showed that the Jochberger Hummel is still a distinct subtype of Pinzgauer cattle with less than 5% admixture and a low inbreeding coefficient.     

甘肃盐池湾斑头雁巢址选择

2019年4至6月,采用定点观察法和样方法研究甘肃盐池湾国家级自然保护区斑头雁(Anser indicus)巢址选择。研究期间共发现斑头雁巢332个,斑头雁在繁殖期有3种营巢生境,即浅水沼泽、湖心小岛以及山崖,其巢址类型有草垛巢、地面巢和山崖裸岩巢3种。浅水沼泽、湖心小岛以及山崖3种营巢生境中窝卵数分别为(4.7±2.7)枚(n=204)、(4.2±1.9)枚(n=108)及(3.1±0.6)枚(n=20),孵化成功率分别为48.65%(n=199)、45.27%(n=148)及24.00%(n=25),繁殖成功率分别为66.67%(n=42)、74.28%(n=35)及36.36%(n=11)。主成分分析显示,影响浅水沼泽生境中斑头雁巢址选择的主要环境因素依次为水源因素、隐蔽因素、干扰因素和食物因素;影响湖心小岛生境中斑头雁巢址选择的主要环境因素依次为隐蔽因素、食物因素、干扰因素;影响山崖生境中斑头雁巢址选择的主要环境因素依次为地形因素、食物及水源因素、干扰因素。本研究表明,斑头雁在不同营巢生境中,巢址选择的最主要环境因素并不相同,主要依赖生境特征及周围环境因素特征。     

Binding mechanism of spinosine and venenatine molecules with p300 HAT enzyme: Molecular screening,molecular dynamics and free-energy analysis

The chromatin modification is regulated by the histone acetyltransferase (HAT) and histone deacetyltransferase (HDAC) enzymes; abnormal function of these enzymes leads to several malignant diseases. The inhibition of these enzymes using natural ligand molecules is an emerging technique to cure these diseases. The in vitro analysis of natural molecules, venenatine, spinosine, palmatine and taxodione are giving the best inhibition rate against p300 HAT enzyme. However, the detailed understanding of binding and the stability of these molecules with p300 HAT is not yet known. The aim of the present study is focused to determine the binding strength of the molecules from molecular dynamics simulation analysis. The docking analysis confirms that, the venenatine (−6.97 kcal/mol - conformer 8), spinosine (−6.52 kcal/mol conformer −10), palmatine (−5.72 kcal/mol conformer-3) and taxodione (−4.99 kcal/mol conformer-4) molecules form strong hydrogen bonding interactions with the key amino acid residues (Arg1410, Thr1411 and Trp1466) present in the active site of p300. In the molecular dynamics (MD) simulation, the spinosine retain these key interactions with the active site amino acid residues (Arg1410, Thr1411, and Trp1466) than venenatine and are stable throughout the simulation. The RMSD value of spinosine (0.5 to 1.3 Å) and venenatine (0.3 to 1.3 Å) are almost equal during the MD simulation. However, during the MD simulation, the intermolecular interaction between venenatine and the active site amino acid residues (Arg1410, Thr1411, and Trp1466) decreased on comparing with the spinosine-p300 interaction. The binding free energy of the spinosine (−15.30 kcal/mol) is relatively higher than the venenatine (−11.8 kcal/mol); this increment is attributed to the strong hydrogen bonding interactions of spinosine molecule with the active site amino acid residues of p300.     

Multivariate palaeoecological analysis of a late quaternary small mammal succession from North Bulgaria

The basic assumption of the analysis is that the stratigraphical change of relative abundance of the small mammal species is a phenomenon due to a certain number of environmental factors. In order to reveal these factors and to make some palaeoclimatic reconstructions the following approaches have been used: 1. Analysis of intrinsic structure of the initial data by using principal component analysis (PCA)—delimitation of recurrent groups of species and ordination of assemblages; 2. Extension backward in time of known ecological preference of taxa, forming a particular recurrent group; 3. Comparison of the results with the analysis of assemblages from “known”; (Holocene) environment. On the basis of ecological appearance of particular recurrent groups it is assumed that the main factors are temperatures and effective moisture. The reconstructed values for these environmental factors obtained on the basis of the Holocene recurrent groups of small mammals shows similarity to the recent climate in the area.     

Synthesis and FTIR Conformational Studies of Peptides From the Basic Region of c-Jun: a Critical Analysis on the Basis of CD and NMR Data

Abstract

The peptide (35 residues) corresponding to the basic subdomain (bSD) of c-Jun (residues 252–281) and its fragments NP (N-terminal peptide, 1–19) and CP (C-terminal peptide, 1635) were synthesized in stepwise solid-phase using the tert-butyloxycarbonyl/benzyl strategy. In a previous paper, we have shown that during its binding to the DNA site CRE (cAMP- responsive element) the bSD structure was converted into α-helix from an initial random coil conformation [Krebs, D., Dahmani, B., El Antri, S., Monnot, M., Convert, O., Mauffret, O., Troalen, F. & Fermandjian, S. Eur. J. Biochem. 231, 370–380 (1995)]. Our results suggested both a high flexibility and a helical potential in bSD, these two properties seeming crucial for the accommodation of the basic subdomain of c-Jun to its specific DNA targets. In this work, we assessed the conformational variability of bSD through the study of the secondary structures of its NP and CP fragments in trifluoroethanol (TFE)/²H₂O mixtures, using Fourier transform infrared (FTIR) spectroscopy. The IR results were critically analyzed in light of our previously reported circular dichroism (CD) and NMR data [Krebs, D., Dahmani, B., Monnot, M., Mauffret, O., Troalen, F. & Fermandjian, S. Eur. J. Biochem. 235, 699–712 (1996)]. Upon addition of TFE, the relative areas of the seven components of the amide I band (1700–1620 cm^?1) reflected the conversion of a large amount of random coil conformation into α-helix for the two fragments and bSD. This effect was accompanied by more subtle variations of the less populated structures, in agreement with the results of CD and NMR experiments. The IR results stipulated the conservation of the parent bSD secondary structures in both fragments; however, NP and CP peptides did not display similar random-to-α-helix stabilization pattern upon additions of TFE to aqueous solutions. The profile from CD signal at 222 nm was found sigmoidal for NP and almost linear for CP, while that corresponding to the parent peptide bSD was just in between those of its fragments. Thus, the present study confirms the high flexibility and helix propensity of the c-Jun basic subdomain and suggests that the N- and C-terminal parts of the peptide do not follow the same random-to-helix conversion profile during their complexation with DNA.     

Using principal component analysis and support vector machine to predict protein structural class for low-similarity sequences via PSSM

The accurate identification of protein structure class solely using extracted information from protein sequence is a complicated task in the current computational biology. Prediction of protein structural class for low-similarity sequences remains a challenging problem. In this study, the new computational method has been developed to predict protein structural class by fusing the sequence information and evolution information to represent a protein sample. To evaluate the performance of the proposed method, jackknife cross-validation tests are performed on two widely used benchmark data-sets, 1189 and 25PDB with sequence similarity lower than 40 and 25%, respectively. Comparison of our results with other methods shows that the proposed method by us is very promising and may provide a cost-effective alternative to predict protein structural class in particular for low-similarity data-sets.     

Studying the collective motions of the adenosine A2A receptor as a result of ligand binding using principal component analysis

Abstract

Adenosine receptors (ARs) belong to family A of GPCRs that are involved in many diseases, including cerebral and cardiac ischemic diseases, immune and inflammatory disorders, etc. Thus, they represent important therapeutic targets to treat these conditions. Computational techniques such as molecular dynamics (MD) simulations permit researchers to obtain structural information about these proteins, and principal component analysis (PCA) allows for the identification of collective motions. There are available structures for the active form (3QAK) and the inactive form (3EML) of A2AR which permit us to gain insight about their activation/inactivation mechanism. In this work, we have proposed an inverse strategy using MD simulations where the active form was coupled to the antagonist caffeine and the inactive form was coupled to adenosine agonist. Moreover, we have included four reported thermostabilizing mutations in the inactive form to study A2AR structural differences under different conditions. Some observations stand out from the PCA studies. For instance, the apo structures showed remarkable similarities, and the principal components (PCs) were rearranged in a ligand-dependent manner. Additionally, the active conformation was less stable compared to the inactive one. Some PCs inverted their direction in the presence of a ligand, and comparison of the PCs between 3EML and 3EML_ADN showed that adenosine induced major changes in the structure of A2AR. Rearrangement of PCs precedes and drives conformational changes that occur after ligand binding. Knowledge about these conformational changes provides important insights about the activity of A2AR.     

Putative osmosensor – OsHK3b – a histidine kinase protein from rice shows high structural conservation with its ortholog AtHK1 from Arabidopsis

Prokaryotes and eukaryotes respond to various environmental stimuli using the two-component system (TCS). Essentially, it consists of membrane-bound histidine kinase (HK) which senses the stimuli and further transfers the signal to the response regulator, which in turn, regulates expression of various target genes. Recently, sequence-based genome wide analysis has been carried out in Arabidopsis and rice to identify all the putative members of TCS family. One of the members of this family i.e. AtHK1, (a putative osmosensor, hybrid-type sensory histidine kinase) is known to interact with AtHPt1 (phosphotransfer proteins) in Arabidopsis. Based on predicted rice interactome network (PRIN), the ortholog of AtHK1 in rice, OsHK3b, was found to be interacting with OsHPt2. The analysis of amino acid sequence of AtHK1 showed the presence of transmitter domain (TD) and receiver domain (RD), while OsHK3b showed presence of three conserved domains namely CHASE (signaling domain), TD, and RD. In order to elaborate on structural details of functional domains of hybrid-type HK and phosphotransfer proteins in both these genera, we have modeled them using homology modeling approach. The structural motifs present in various functional domains of the orthologous proteins were found to be highly conserved. Binding analysis of the RD domain of these sensory proteins in Arabidopsis and rice revealed the role of various residues such as histidine in HPt protein which are essential for their interaction.     

Quantification of Sleepiness Through Principal Component Analysis of the Electroencephalographic Spectrum

Although circadian and sleep research has made extraordinary progress in the recent years, one remaining challenge is the objective quantification of sleepiness in individuals suffering from sleep deprivation, sleep restriction, and excessive somnolence. The major goal of the present study was to apply principal component analysis to the wake electroencephalographic (EEG) spectrum in order to establish an objective measure of sleepiness. The present analysis was led by the hypothesis that in sleep-deprived individuals, the time course of self-rated sleepiness correlates with the time course score on the 2nd principal component of the EEG spectrum. The resting EEG of 15 young subjects was recorded at 2-h intervals for 32–50?h. Principal component analysis was performed on the sets of 16 single-Hz log-transformed EEG powers (1–16?Hz frequency range). The time course of self-perceived sleepiness correlated strongly with the time course of the 2nd principal component score, irrespective of derivation (frontal or occipital) and of analyzed section of the 7-min EEG record (2-min section with eyes open or any of the five 1-min sections with eyes closed). This result indicates the possibility of deriving an objective index of physiological sleepiness by applying principal component analysis to the wake EEG spectrum. (Author correspondence: putilov@ngs.ru)     

The impact of genetic stress by ATGL deficiency on the lipidome of lipid droplets from murine hepatocytes

We showed earlier that nutritional stress like starvation or high-fat diet resulted in phenotypic changes in the lipidomes of hepatocyte lipid droplets (LDs), representative for the pathophysiological status of the mouse model. Here we extend our former study by adding genetic stress due to knockout (KO) of adipocyte triglyceride lipase (ATGL), the rate limiting enzyme in LD lipolysis. An intervention trial for 6 weeks with male wild-type (WT) and ATGL-KO mice was carried out; both genotypes were fed lab chow or were exposed to short-time starvation. Isolated LDs were analyzed by LC-MS/MS. Triacylglycerol, diacylglycerol, and phosphatidylcholine lipidomes, in that order, provided the best phenotypic signatures characteristic for respective stresses applied to the animals. This was evidenced at lipid species level by principal component analysis, calculation of average values for chain-lengths and numbers of double bonds, and by visualization in heat maps. Structural backgrounds for analyses and metabolic relationships were elaborated at lipid molecular species level. Relating our lipidomic data to nonalcoholic fatty liver diseases of nutritional and genetic etiologies with or without accompanying insulin resistance, phenotypic distinction in hepatocyte LDs dependent on insulin status emerged. Taken together, lipidomes of hepatocyte LDs are sensitive responders to nutritional and genetic stress.