eKhSACIR інституційному репозитарії Харківської державної академії культури
Not a member yet
7410 research outputs found
Sort by
Resistance to <em>Flavobacterium psychrophilum</em> in rainbow trout : QTL detection reveals effect of infection route and epistatic interactions
No full textInternational audienc
Effect of mating strategies on genetic and economic outcomes in a Montbéliarde dairy herd
No full textInternational audienc
Recherche d'associations entre microARNs, variants génétiques et QTL laitiers chez les bovins caprins et ovins
No full textNational audienceLa sélection génomique est un levier pertinent et pérenne pour moduler la production laitière tant sur le plan quantitatif que qualitatif, dans les contextes scientifique, agronomique et sociétal actuels. Elle repose en partie sur les informations données par de nombreux marqueurs génétiques utilisés pour prédire la valeur génétique d’animaux choisis comme potentiels candidats à la sélection. La précision de la sélection pourrait être accrue via la découverte de mutations causales responsables de la variabilité génétique de caractères et leur ajout dans les modèles de prédiction de valeurs génétiques. Des régions génomiques ayant un effet sur ces caractères quantitatifs (QTL) d’intérêt pour les espèces d’élevage ont été définies. Dans la plupart de ces QTL, les mutations candidates sont identifiées dans des régions non-codantes, parmi lesquelles des gènes de microARN. Ces petits ARNs non-codants ont un rôle de régulation post-transcriptionnelle et donc impactent l’expression de gènes. L’objectif est d’analyser des mutations de gènes de microARNs situés dans des QTL laitiers avec pour but d’identifier de nouveaux biomarqueurs pour une sélection plus précise, mais aussi de comprendre les mécanismes moléculaires des effets de ces variant
Quand la surexpression d’un microarn dans la glande mammaire impacte la croissance des souris au cours de plusieurs générations.
No full textNational audienceDroplet-based microfluidics is becoming an increasingly attractive alternative to microtiter plate techniques for enzymatic high-throughput screening (HTS), especially for exploring large diversities with lower time and cost footprint. In this case, the assayed enzyme has to be accessible to the substrate within the water-in-oil droplet by being ideally extracellular or displayed at the cell surface. However, most of the enzymes screened to date are expressed within the cytoplasm of Escherichia coli cells, which means that a lysis step must take place inside the droplets for enzyme activity to be assayed. Here, we take advantage of the excellent secretion abilities of the yeast Yarrowia lipolytica to describe a highly efficient expression system particularly suitable for the droplet-based microfluidic HT
Bull sperm sncRNAs: A new source for potential fertility biomarkers?
No full textInternational audienc
Reducing conditions in the vadose zone are associated with colloid and phosphorus release: evidence from lysimeters and depth profiles
No full textInternational audienceVertical phosphate (PO4) leaching through the 'unsaturated zone' of agricultural soil can enrich groundwater with phosphorus (P). This zone is thought to be oxic and our previous work showed PO4 sorption on particulate and colloidal ferric iron- and aluminium (oxy)hydroxides (Fe(III)- and Al(oxy)hydroxides) controls P leaching. In wetlands, i.e. saturated soil, and in the presence of an electron donor such as organic matter, reductive dissolution of Fe(III) to ferrous iron (Fe(II)) releases bound PO4. The aim of this work was to elucidate field scale PO4 leaching. Wick lysimeter data (2013 to present), from an agricultural field trial, were analyzed. Soil cores were sampled in vicinity of the wicks in distinct layers. Extractions (fresh soil; 1 mM CaCl2; solid/liquid = 0.25 kg L-1; 24 hours shaken; 2500 relative centrifugal force; 0.45 μm filtered) were used to represent the soil solution. The same was done along a 'redox gradient', i.e. a slope from dry to wet. The P concentration ([P]) in the wick samples ranged from below limit of quantification (< LOQ) to 25 μM P. The iron concentrations ([Fe]) ranged from < LOQ to 162 μM and correlated with [Al] (r = +0.95*; * indicates p < 0.0001 on a log-log relationship). In turn, [Fe+Al] correlated with [P] (r = +0.69*). The manganese (Mn) concentration (< LOQ - 10 μM) correlated strikingly with [Fe+Al] and [P] (resp. r = +0.66* and +0.51*). Depth profiles. [P] in the model soil solutions ranged from 0.16 μM to 41 μM. [Fe] ranged from 0.86 to 99 μM and correlated with [Al] (r = +0.95*). [Fe+Al] correlated with [P] (r= +0.75*). However [Mn] (0.01 - 7.41 μM) correlated most strong with [P] (r = +0.94*) and again with [Fe+Al] (r = +0.88*). [P], [Mn] and [Fe+Al] were low plough zone, largest in the plough pan (28 - 35 cm depth) and decreased with increasing depth, i.e. decreasing organic matter (OM) content (all *). Redox gradient. Identical correlations were found. Pooling the data shows large [P], [Mn] and [Fe + Al] associate with reducing conditions (large OM, high water content and low pH). Reducing conditions in the vadose zone reduce and dissolve Mn(IV) to Mn(III or II) and later Fe(III) to Fe(II). When this cement-like structure of the matrix dissolves, colloids and sorbed PO4 are released. Next, the causality behind the presented correlations and the effect on P migration will be investigated
Single cell transcriptome in chronic myeloid leukemia (cml): pseudotime analysis reveals a rare population with embryonic stem cell features and druggable intricated transitional stem cell states
No full textInternational audienc
Modeling lactation curves of French dairy goats using random regression models
No full textInternational audienceRandom regression models are widely used to analyze longitudinal data in genetic evaluation. They permit to evaluate more precisely the environmental effects and the genetic value of an animal, by taking into account the test-day specific effects. Our objective was to implement a random regression model for the evaluation of French Saanen goats. The data consisted of milk test-days (TD) records from first lactation of Saanen goats. B-splines were used to model the environmental factors. The genetic and permanent environment effects were modeled through two Legendre polynomials of the same order. The goodness of fit and the genetic parameters being function of the order of the polynomials, orders 0, 2 and 4 were tested. Models with Legendre polynomials of order 4 were found to be the most parsimonious. A rank reduction of the variance covariance matrix was performed by eigenvalues decomposition in order to reduce computing time and complexity. With a reduction to rank 2, the first two eigenvectors well summed up the genetic variability of milk yield level and persistency
Joint estimation of genetic parameters for daily recorded milk yield and body weight in first lactation Holstein cows
No full textInternational audienc
Effets in vitro d’un mélange d’huiles essentielles sur les indicateurs de dégradation de la protéine en comparaison avec une source de protéine protégée
No full textNational audienceLes huiles essentielles contiennent des principes actifs susceptibles de modifier l’activité microbienne du rumen avec notamment la possibilité de limiter la dégradation des protéines et ainsi d’ augmenter la quantité de protéines disponible dans l’intestin (Macheboeuf et al, 2008). L’objectif de cet essai est de comparer in vitro l’effet d’un mélange d’huiles essentielles (principes actifs du NOVATAN®) et une source de protéine protégée sur les indicateurs de dégradation de la protéine dans le rumen : ammoniac (NH3), Iso-butyrate (IC4) et Iso-valérate (IC5)