Citric acid production by Aspergillus niger grown on orange peel medium fortified with cane molasses

Citric acid production (CAP) by Aspergillus niger was obtained following culture on an orange peel medium (OPM) fortified with cane molasses. The key physico-chemical parameters influencing CAP, such as bed loading, moisture levels, volume and age of inoculum, initial pH, incubation temperature and duration, agitation rate, sugar concentration, addition of nitrogen and phosphorus sources, treatment of molasses and the addition of different low levels of alcohols, were assessed. The suitability of molasses to increase the concentration of sugar in the fermentation medium without previous treatments with EDTA or ferro-cyanide was indicated. Maximum amounts of CA (640 g/kg orange peel) were obtained after 72 h of incubation on an OPM moisturized to 65 %?w/v, with bed loading of 20 %, an initial pH of 5, a temperature of 30 °C, an agitation rate of 250 rpm, with fortification of the medium with molasses at a final sugar concentration of 14 % in the presence of 3.5 % methanol.     

Plasma anti-Müllerian hormone as a biomarker for bovine granulosa-theca cell tumors: Comparison with immunoreactive inhibin and ovarian steroid concentrations

Granulosa-theca cell tumors (GTCTs) are the most frequently reported ovarian tumors in cattle. Clinically, GTCTs could be confused with other ovarian abnormalities; therefore, the only definitive diagnosis for such tumors is histopathology of a biopsy from the affected ovary. However, this is an invasive technique and unsuitable for farm conditions. As a result, the key aim of this study was to evaluate the diagnostic value of anti-Müllerian hormone (AMH), a glycoprotein hormone that is synthesized exclusively by ovarian granulosa cells, as a sensitive noninvasive biomarker for diagnosing GTCTs in cattle. To achieve this aim, we conducted two experiments. In experiment 1, four clinically healthy Japanese Black cows had blood samples taken daily over one estrous cycle to characterize their AMH profiles throughout the estrous cycle. Additionally, single blood samples were collected from 21 cyclic cows to clarify the physiological range of AMH. In experiment 2, cows with histologically confirmed GTCT (GTCT group, n = 9) and cows affected with cystic ovarian disease (COD group, n = 8) had one blood sample taken before extraction of the tumorous ovary or therapeutic treatment for the COD. Blood samples (n = 105) from cyclic cows (n = 25) in experiment 1 were assigned as a physiologically cyclic group (PC group). Plasma AMH, immunoreactive inhibin (ir-INH), estradiol-17β (E₂), testosterone (T), and progesterone (P₄) concentrations were assayed in all samples. In experiment 1, the mean plasma AMH concentration was 0.09 ± 0.003 ng/mL and did not show substantial fluctuation throughout the estrous cycle. In experiment 2, plasma AMH, ir-INH, and E₂ concentrations were significantly elevated in the GTCT group in comparison with the PC group; among these parameters, only the AMH concentrations were significantly higher in the GTCT group than in the COD group. The area under the receiver operating characteristic curve of AMH for diagnosis of GTCT was 0.99 and was significantly higher than that of ir-INH (P < 0.001) and E₂ (P < 0.01). Moreover, the AMH at a cutoff point of ≥0.36 ng/mL had the highest diagnostic accuracy (99.2%), sensitivity (100%), and specificity (99.1%) compared with the other tested parameters. In conclusion, plasma AMH concentration is probably a more reliable and sensitive biomarker for bovine GTCTs than the concentrations of ir-INH or ovarian steroids.     

Naturally occurring thiophenes: isolation,purification, structural elucidation,and evaluation of bioactivities

Phytochemistry Reviews - Thiophenes are a class of heterocyclic aromatic compounds based on a five-membered ring made up of one sulfur and four carbon atoms. The thiophene nucleus is well...     

Feature Selection via Chaotic Antlion Optimization

Background

Selecting a subset of relevant properties from a large set of features that describe a dataset is a challenging machine learning task. In biology, for instance, the advances in the available technologies enable the generation of a very large number of biomarkers that describe the data. Choosing the more informative markers along with performing a high-accuracy classification over the data can be a daunting task, particularly if the data are high dimensional. An often adopted approach is to formulate the feature selection problem as a biobjective optimization problem, with the aim of maximizing the performance of the data analysis model (the quality of the data training fitting) while minimizing the number of features used.

Results

We propose an optimization approach for the feature selection problem that considers a “chaotic” version of the antlion optimizer method, a nature-inspired algorithm that mimics the hunting mechanism of antlions in nature. The balance between exploration of the search space and exploitation of the best solutions is a challenge in multi-objective optimization. The exploration/exploitation rate is controlled by the parameter I that limits the random walk range of the ants/prey. This variable is increased iteratively in a quasi-linear manner to decrease the exploration rate as the optimization progresses. The quasi-linear decrease in the variable I may lead to immature convergence in some cases and trapping in local minima in other cases. The chaotic system proposed here attempts to improve the tradeoff between exploration and exploitation. The methodology is evaluated using different chaotic maps on a number of feature selection datasets. To ensure generality, we used ten biological datasets, but we also used other types of data from various sources. The results are compared with the particle swarm optimizer and with genetic algorithm variants for feature selection using a set of quality metrics.     

Germline recombination in a novel Cre transgenic line,Prl3b1‐Cre mouse

Spermatogenesis is a complex and highly regulated process by which spermatogonial stem cells differentiate into spermatozoa. To better understand the molecular mechanisms of the process, the Cre/loxP system has been widely utilized for conditional gene knockout in mice. In this study, we generated a transgenic mouse line that expresses Cre recombinase under the control of the 2.5 kbp of the Prolactin family 3, subfamily b, member 1 (Prl3b1) gene promoter (Prl3b1‐cre). Prl3b1 was initially reported to code for placental lactogen 2 (PL‐2) protein in placenta along with increased expression toward the end of pregnancy. PL‐2 was found to be expressed in germ cells in the testis, especially in spermatocytes. To analyze the specificity and efficiency of Cre recombinase activity in Prl3b1‐cre mice, the mice were mated with reporter R26GRR mice, which express GFP ubiquitously before and tdsRed exclusively after Cre recombination. The systemic examination of Prl3b1‐cre;R26GRR mice revealed that tdsRed‐positive cells were detected only in the testis and epididymis. Fluorescence imaging of Prl3b1‐cre;R26GRR testes suggested that Cre‐mediated recombination took place in the germ cells with approximately 74% efficiency determined by in vitro fertilization. In conclusion, our results suggest that the Prl3b1‐cre mice line provides a unique resource to understand testicular germ‐cell development. genesis 54:389–397, 2016. © 2016 Wiley Periodicals, Inc.     

Production and antioxidant activity of secondary metabolites in Hassawi rice (Oryza sativa L.) cell suspension under salicylic acid,yeast extract,and pectin elicitation

In Vitro Cellular & Developmental Biology - Plant - Plants that produce bioactive chemicals provide a viable in vitro method for producing key nutraceutical substances, especially in the...     

Purification and some important characters of extracellular inulinase of Alternaria alternata (Fr.) Keissler

Protein precipitate of cell-free dialysate of extracellular inulinase (2,1-beta-fructan fructanohydrolase, EC 3.2.1.7) of A. alternata was maximally obtained by methanol. Such protein was fractionated by using 2-step column chromatography on Sephadex G150 and DEAE-cellulose. The partially purified enzyme had activity of 81 x 10(3) U/mg protein, with a yield of 69% of the original activity and the fold of purification was 62. Optimum temperature and pH for the activity of the purified enzyme were found to be 55 degrees C and 4.5, respectively. The enzyme was found to be stable up to 55 degrees C and in pH range of 4 to 5. Ba2+ and Ca2+ were found to stimulate the enzyme activity while Cu2+, Fe3+, Hg2+, and iodoacetate were recorded as strong inhibitors. T(1/2) of the enzyme was estimated to be two weeks and its apparent Km was calculated to be 0.066 M. The enzyme recorded hydrolyzing activity against sucrose and raffinose recording I/S ratio of 0.50. Molecular mass of the enzyme preparation was estimated by gel filtration and found to be 115 +/- 5 kDa.