The Effect of Phosphorus Metabolism on the Motion of Saccharomyces cerevisiae Volutin Granules

It is known that moving volutin granules (“dancing bodies”), mechanism of which occurrence remains poorly understood, can be observed in yeast vacuoles. This study was performed to reveal the presence of a connection between moving volutin granules of Saccharomyces cerevisiae and polyphosphate metabolism in conditions of phosphoric starvation and hypercompensation. Methods. Cytological, biochemical, statistical methods were used in the study. Results. It was observed that the inactivation of the PPN1 gene, which encodes exopolyphosphatase Ppn1, resulted in a change in the number of cells with moving volutin granules (“dancing bodies” index) in the studied conditions. The index of “dancing bodies” was almost always lower in mutant CRN strain than in parent CRY strain. Using linear correlation analysis and factor analysis with the method of principal component, it was established that the “dancing bodies” index in both strains had significant correlation coefficients with exopolyphosphatase activity (EPPA) and the content of polyphosphate fractions (polyP). The difference was that this index in parent strain correlated better with the first three fractions of inorganic polyphosphates, while in mutant strain – with polyP4 and EPPA. Conclusions. Obtained data indicated the direct connection of motion of volutin granules with phosphoric metabolism in the studied conditions. It is assumed that the phenomenon of “dancing bodies” may be a consequence of the activity of vacuolar polyphosphatases.

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Retrieval and validation of MetOp/IASI methane

Atmospheric Measurement Techniques ◽

10.5194/amt-10-4623-2017 ◽

2017 ◽

Vol 10 (12) ◽

pp. 4623-4638 ◽

Cited By ~ 6

Author(s):

Evelyn De Wachter ◽

Nicolas Kumps ◽

Ann Carine Vandaele ◽

Bavo Langerock ◽

Martine De Mazière

Keyword(s):

Estimation Method ◽

Correlation Coefficients ◽

Principal Component ◽

Optimal Estimation ◽

Good Sensitivity ◽

Total Uncertainty ◽

Upper Troposphere ◽

The Difference ◽

Mean Differences ◽

The Vertical Distribution

Abstract. A new IASI methane product developed at the Royal Belgian Institute for Space Aeronomy (BIRA-IASB) is presented. The retrievals are performed with the ASIMUT-ALVL software based on the optimal estimation method (OEM). This paper gives an overview of the forward model and retrieval concept. The usefulness of reconstructed principal component compressed (PCC) radiances is highlighted. The information content study carried out in this paper shows that most IASI pixels contain between 0.9 and 1.6 independent pieces of information about the vertical distribution of CH4, with a good sensitivity in the mid- to upper troposphere. A detailed error analysis was performed. The total uncertainty is estimated to be 3.73 % for a CH4 partial column between 4 and 17 km. An extended validation with ground-based CH4 observations at 10 locations was carried out. IASI CH4 partial columns are found to correlate well with the ground-based data for 6 out of the 10 Fourier transform infrared (FTIR) stations with correlation coefficients between 0.60 and 0.84. Relative mean differences between IASI and FTIR CH4 range between −2.31 and 4.04 % and are within the systematic uncertainty. For 6 out of the 10 stations the relative mean differences are smaller than ±1 %. The standard deviation of the difference lies between 1.76 and 2.97 % for all the stations.

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A Study on the Relationship between Proprietorship Concentration and Profit Management in the Companies Listed in Tehran Stock Exchange

Revista Administração em Diálogo - RAD ◽

10.20946/rad.v19i0.31992 ◽

2017 ◽

Vol 19 ◽

pp. 72

Author(s):

Soghra Ranjbarian ◽

Akbar Zavari Rezaei ◽

Asghar Azizi

Keyword(s):

Institutional Investors ◽

Stock Exchange ◽

Correlation Coefficients ◽

Computer Application ◽

Coefficient Of Determination ◽

Lack Of Information ◽

Study Results ◽

The Difference ◽

The Impact ◽

The Relationship

The presence of institutional investors may change the behaviors of companies. The impact of institutional investors on management decisions on financial affairs have been proven in other studies; yet, the present study aims to investigate the relationship between lack of information symmetry an concentration of proprietorship with profit management in the companies listed in Tehran Stock Exchange. The period under study included years 2004 to 2009. Rahavard Novin Computer application was utilized to collect the data; then they were calculated using Microsoft Excel. SPSS computer application was used to test research hypothesis and conduct other statistical analysis using statistical methods like descriptive statistics, correlation (correlation coefficient, coefficient of determination), regression analysis and testing its coefficients, correlation analysis and test of coefficients and significance of the difference between two correlation coefficients. A total of 109 active companies in the stock exchange were selected as the sample of the study. Results on the first hypothesis revealed that the relationship between concentration of proprietorship and lack of information symmetry. In case of the second hypothesis, it is predicted that there is a significant relationship between profit management with lack of information symmetry and concentration of proprietorship. According to research results, investors and analysts ought to pay attention to factors like proprietorship composition, the level of information symmetry along with the figures published by the companies when making short and long-term decisions.

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Retrieval and validation of METOP/IASI methane

10.5194/amt-2017-165 ◽

2017 ◽

Author(s):

Evelyn De Wachter ◽

Nicolas Kumps ◽

Ann Carine Vandaele ◽

Bavo Langerock ◽

Martine De Mazière

Keyword(s):

Fourier Transform ◽

Estimation Method ◽

Correlation Coefficients ◽

Principal Component ◽

Optimal Estimation ◽

Good Sensitivity ◽

Upper Troposphere ◽

The Difference ◽

Mean Differences ◽

The Vertical Distribution

Abstract. A new global IASI methane product developed at the Royal Belgian Institute for Space Aeronomy (BIRA-IASB) is presented. The retrievals are performed with the ASIMUT-ALVL software based on the Optimal Estimation Method (OEM). This paper gives an overview of the forward model and retrieval concept. The usefullness of reconstructed Principal Component Compressed (PCC) radiances is highlighted. The retrieval uncertainty of the CH4 profiles is less than 4 % below 100 hPa (~ 16 km). The information content study carried out in this paper shows that most IASI pixels contain between 0.9 and 1.6 independent pieces of information about the vertical distribution of CH4, with a good sensitivity in the mid to upper troposphere. An extended validation with ground-based CH4 observations at 10 locations was carried out. IASI CH4 partial columns are found to correlate well with the ground-based data for 7 out of the 10 Fourier Transform Infrared (FTIR) stations with correlation coefficients between 0.71 and 0.96. Mean differences between IASI and FTIR CH4 range between −1.93 and 4.40 % and are within the systematic uncertainty. For 7 out of the 10 stations absolute differences are less than 1 %. The standard deviation of the difference lies between 1.40 and 3.99 % for all the stations.

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Principal Components of Genetic Sequences: Correlations and Significance

Математическая биология и биоинформатика ◽

10.17537/2021.16.299 ◽

2021 ◽

Vol 16 (2) ◽

pp. 299-316

Author(s):

V.M. Efimov ◽

K.V. Efimov ◽

V.Yu. Kovaleva ◽

Yu.G. Matushkin

Keyword(s):

Amino Acid ◽

Principal Components ◽

Correlation Coefficients ◽

Principal Component ◽

General Nature ◽

Amino Acid Residues ◽

Numerical Series ◽

Bootstrap Technique ◽

Sequence Elements ◽

The Difference

Any numerical series can be decomposed into principal components using singular spectral analysis. We have recently proposed a new analysis method ‒ PCA-Seq, which allows calculating numerical principal components for a sequence of elements of any type. In particular, the sequence may be composed of nucleotide base pairs or amino acid residues. Two questions inevitably arise about interpretation of the obtained principal components and about the assessment of their reliability. For interpretation of the symbolic sequence principal components, it is reasonable to evaluate their correlations with numerical characteristics of the sequence elements. To assess the significance of correlations between sequences, one should bear in mind that standard significance criteria are based on the assumption of independence of observations, which, as a rule, is not fulfilled for real sequences. The article discusses the use of an anchor bootstrap technique for these purposes also previously developed by the authors of the article. In this approach it is assumed, that points of a metric space can represent the objects. When taken together they make up some fixed structure in it, in particular, a sequence. The objects are assigned the same random integer weights as in the classical bootstrap. This is sufficient to obtain the bootstrap distribution of the correlation coefficients and assess their significance. The coding sequence of the SLC9A1 gene (synonyms APNH, NHE1, PPP1R143) were taken as an example of use the anchor bootstrap technique in the genetic sequence analysis. Significant correlations of the first principal component were revealed with the hydrophobicity/“transmembraneity” of the corresponding fragments of the amino acid sequence, the phenylalanine content in them, as well as the difference in the T- and A-content in the corresponding nucleotide fragments. Earlier a similar pattern was found by other authors for other genes. Very likely, that it is of a more general nature.

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The use of β-glucan extracted from baker’s yeast (Saccharomyces cerevisiae) to increase non-specific immune system and resistence of tilapia (Oreochromis niloticus) to Aeromonas hydrophila

AQUATIC SCIENCE & MANAGEMENT ◽

10.35800/jasm.0.0.2013.2288 ◽

2013 ◽

pp. 92

Author(s):

Ida N Jamal ◽

Reiny A Tumbol ◽

Remy E.P Mangindaan

Keyword(s):

Saccharomyces Cerevisiae ◽

Immune System ◽

Aeromonas Hydrophila ◽

Phagocytic Activity ◽

Baker’S Yeast ◽

Baker's Yeast ◽

Yeast Saccharomyces Cerevisiae ◽

Randomized Design ◽

The Difference ◽

Motile Aeromonas Septicaemia

Motile Aeromonas Septicaemia disease (MAS) attacking tilapia has increased in recent years as a consequence of intensive aquaculture activities, which led to losses in aquaculture industry. The agent causing MAS disease is Aeromonas hydrophila. The disease can be controlled with the β-glucan. As immunostimulants, β-glucans can also increase resistance in farmed tilapia. Studies on the use of β-glucan extracted from baker's yeast Saccharomyces cerevisiae was intended to evaluate the non-specific immune system of tilapia that were challenged with Aeromonas hydrophila. The method used was an experimental method with a completely randomized design consisting of four treatments with three replicats. The dose of β-glucan used as treatments were 0 mg.kg-1 fish (Control), 5 mg.kg-1 fish (B), 10 mg.kg-1 fish (C) and 20 mg.kg-1 fish (D), each treatment as injected three times at intervals of 3 days, the injection volume of 0.5 ml/fish for nine days and resistance surveillance for seven days. The results showed that the difference in the amount of β-glucan and the frequency of the injected real influence on total leukocytes, phagocytic activity and resistance. Total leukocytes, phagocytic activity and resistance to treatment was best achieved by the administration of C a dose of 10 mg.kg-1 of the fish© Penyakit Motil Aeromonas Septicaemia (MAS) yang menyerang ikan nila mengalami peningkatan selama beberapa tahun terakhir sebagai konsekuensi dari kegiatan akuakultur intensif, yang menyebabkan kerugian dalam industri budidaya. Agen utama penyebab penyakit MAS adalah Aeromonas hydrophila. Untuk mengendalikan penyakit tersebut dapat dilakukan dengan pemberian β-glukan. Sebagai imunostimulan, β-glukan juga dapat meningkatkan resistensi pada ikan nila yang dibudidayakan. Pengkajian mengenai pemanfaatan β-glukan yang diekstrak dari ragi roti Saccharomyces cerevisiae dimaksudkan untuk menguji sistem imun non spesifik ikan nila yang diuji tantang dengan bakteri Aeromonas hydrophila. Metode yang digunakan yaitu metode eksperimen dengan rancangan acak lengkap yang terdiri dari empat perlakuan dan tiga ulangan. Dosis β-glukan yang digunakan sebagai perlakuan sebesar 0 mg.kg-1 ikan (Kontrol), 5 mg.kg-1 ikan (B), 10 mg.kg-1 ikan (C) dan 20 mg.kg-1 ikan (D), masing-masing perlakuan diinjeksi sebanyak 3 kali dengan interval waktu 3 hari selama 9 hari, volume injeksi 0,5 mL/ekor ikan dan pengamatan resistensi selama tujuh hari. Hasil penelitian menunjukkan perbedaan jumlah β-glukan dan frekuensi pemberian yang diinjeksikan memberikan pengaruh nyata terhadap total leukosit, aktivitas fagositosis dan resistensi. Total leukosit, aktivitas fagositosis dan resistensi terbaik dicapai pada perlakuan C dengan dosis 10 mg.kg-1 ikan©

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Effects of Saccharomyces Cerevisiae Strains on Chemical Profiles of Cabernet Sauvignon Wines: Based on the Combined Results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS

Current Topics in Nutraceutical Research ◽

10.37290/ctnr2641-452x.18:115-131 ◽

2018 ◽

Vol 18 (2) ◽

pp. 115-131

Author(s):

Liang Heng-Yu ◽

Su Ning ◽

Guo Kun ◽

Wang Yuan ◽

Yang De-Yu

Keyword(s):

Saccharomyces Cerevisiae ◽

Principal Component ◽

Grape Juice ◽

Pilot Scale ◽

Ethyl Esters ◽

Cabernet Sauvignon ◽

Esi Ms ◽

H Nmr ◽

Chemical Profiles ◽

Indigenous Yeasts

Five Saccharomyces cerevisiae strains (Chinese indigenous yeasts SC5, WC5, SC8, CC17 and commercial starter F15) were inoculated into Cabernet sauvignon grape must and fermented at pilot scale. For the first time, combination of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS metabonomic profiling techniques was performed to analyze the global chemical fingerprints of sampled wines at the end of alcoholic and malolactic fermentation respectively, then 13 non-volatile flavor compounds, 52 volatile organic aromas and 43 polyphenolic molecules were identified and determined correspondently. All principal component analysis (PCA) of two fermentation stages based on the analytical results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS divided these strains into three clusters: (1) SC5 and SC8, (2) WC5 and F15 and (3) CC17. The wine fermented by indigenous yeast, CC17, showed a very unique chemical profile, such as low pH and high color intensity, reduced amino acids (including proline) and the lowest total higher alcohols levels, most of the fixed acids, glycerol, ethyl esters and anthocyanins concentrations. The statistical results indicate that CC17 strain possesses very special anabolism and catabolism abilities on such substances in grape juice and has potentiality to produce characteristic wines with high qualities.

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Multivariate micropollutants analysis in marine waters

Water Science & Technology ◽

10.2166/wst.1995.0701 ◽

1995 ◽

Vol 32 (9-10) ◽

pp. 341-348

Author(s):

V. Librando ◽

G. Magazzù ◽

A. Puglisi

Keyword(s):

Multivariate Data Analysis ◽

Partial Least Squares Regression ◽

Environmental Chemistry ◽

Sampling Site ◽

Principal Component ◽

Least Squares Regression ◽

Organic Micropollutants ◽

Suspended Material ◽

The Difference

The monitoring of water quality today provides a great quantity of data consisting of the values of the parameters measured as a function of time. In the marine environment, and especially in the suspended material, increasing importance is being given to the presence of organic micropollutants, particularly since some are known to be carcinogenic. As the number of measured parameters increases examining the data and their consequent interpretation becomes more difficult. To overcome such difficulties, numerous chemometric techniques have been introduced in environmental chemistry, such as Multivariate Data Analysis (MVDA), Principal Component Analysis (PCA) and Partial Least Squares Regression (PLSR). The use of the first technique in this work has been applied to the interpretation of the quality of Augusta bay, by measuring the concentration of numerous organic micropollutants, together with the classical water pollution parameters, in different sites and at different times. The MVDA has highlighted the difference between various sampling sites whose data were initially thought to be similar. Furthermore, it has allowed a choice of more significant parameters for future monitoring and more suitable sampling site locations.

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Chemometric Analysis for the Classification of some Groups of Drugs with Divergent Pharmacological Activity on the Basis of some Chromatographic and Molecular Modeling Parameters

Combinatorial Chemistry & High Throughput Screening ◽

10.2174/1386207321666180129102149 ◽

2018 ◽

Vol 21 (2) ◽

pp. 125-137

Author(s):

Jolanta Stasiak ◽

Marcin Koba ◽

Marcin Gackowski ◽

Tomasz Baczek

Keyword(s):

Correlation Analysis ◽

Pharmacological Activity ◽

Correlation Coefficients ◽

Principal Component ◽

Cardiovascular Drugs ◽

New Drugs ◽

Analgesic Drugs ◽

Starting Point ◽

Chromatographic Parameters

Aim and Objective: In this study, chemometric methods as correlation analysis, cluster analysis (CA), principal component analysis (PCA), and factor analysis (FA) have been used to reduce the number of chromatographic parameters (logk/logkw) and various (e.g., 0D, 1D, 2D, 3D) structural descriptors for three different groups of drugs, such as 12 analgesic drugs, 11 cardiovascular drugs and 36 “other” compounds and especially to choose the most important data of them. Material and Methods: All chemometric analyses have been carried out, graphically presented and also discussed for each group of drugs. At first, compounds’ structural and chromatographic parameters were correlated. The best results of correlation analysis were as follows: correlation coefficients like R = 0.93, R = 0.88, R = 0.91 for cardiac medications, analgesic drugs, and 36 “other” compounds, respectively. Next, part of molecular and HPLC experimental data from each group of drugs were submitted to FA/PCA and CA techniques. Results: Almost all results obtained by FA or PCA, and total data variance, from all analyzed parameters (experimental and calculated) were explained by first two/three factors: 84.28%, 76.38 %, 69.71% for cardiovascular drugs, for analgesic drugs and for 36 “other” compounds, respectively. Compounds clustering by CA method had similar characteristic as those obtained by FA/PCA. In our paper, statistical classification of mentioned drugs performed has been widely characterized and discussed in case of their molecular structure and pharmacological activity. Conclusion: Proposed QSAR strategy of reduced number of parameters could be useful starting point for further statistical analysis as well as support for designing new drugs and predicting their possible activity.

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Distribution and Severity of Placental Lesions Caused by the Chlamydia abortus 1B Vaccine Strain in Vaccinated Ewes

Pathogens ◽

10.3390/pathogens10050543 ◽

2021 ◽

Vol 10 (5) ◽

pp. 543

Author(s):

Sergio Gastón Caspe ◽

Javier Palarea-Albaladejo ◽

Clare Underwood ◽

Morag Livingstone ◽

Sean Ranjan Wattegedera ◽

...

Keyword(s):

Disease Outbreaks ◽

Principal Component ◽

Placental Pathology ◽

Wild Type ◽

Cell Infiltrate ◽

Chlamydia Abortus ◽

Vaccine Type ◽

The Difference ◽

Enzootic Abortion Of Ewes

Chlamydia abortus infects livestock species worldwide and is the cause of enzootic abortion of ewes (EAE). In Europe, control of the disease is achieved using a live vaccine based on C. abortus 1B strain. Although the vaccine has been useful for controlling disease outbreaks, abortion events due to the vaccine have been reported. Recently, placental pathology resulting from a vaccine type strain (vt) infection has been reported and shown to be similar to that resulting from a natural wild-type (wt) infection. The aim of this study was to extend these observations by comparing the distribution and severity of the lesions, the composition of the predominating cell infiltrate, the amount of bacteria present and the role of the blood supply in infection. A novel system for grading the histological and pathological features present was developed and the resulting multi-parameter data were statistically transformed for exploration and visualisation through a tailored principal component analysis (PCA) to evaluate the difference between them. The analysis provided no evidence of meaningful differences between vt and wt strains in terms of the measured pathological parameters. The study also contributes a novel methodology for analysing the progression of infection in the placenta for other abortifacient pathogens.

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Possibility of Human Gender Recognition Using Raman Spectra of Teeth

Molecules ◽

10.3390/molecules26133983 ◽

2021 ◽

Vol 26 (13) ◽

pp. 3983

Author(s):

Ozren Gamulin ◽

Marko Škrabić ◽

Kristina Serec ◽

Matej Par ◽

Marija Baković ◽

...

Keyword(s):

Raman Spectra ◽

Principal Component ◽

Support Vector ◽

Gender Recognition ◽

Proof Of Concept ◽

Male And Female ◽

Tooth Type ◽

Tooth Apex ◽

The Difference

Gender determination of the human remains can be very challenging, especially in the case of incomplete ones. Herein, we report a proof-of-concept experiment where the possibility of gender recognition using Raman spectroscopy of teeth is investigated. Raman spectra were recorded from male and female molars and premolars on two distinct sites, tooth apex and anatomical neck. Recorded spectra were sorted into suitable datasets and initially analyzed with principal component analysis, which showed a distinction between spectra of male and female teeth. Then, reduced datasets with scores of the first 20 principal components were formed and two classification algorithms, support vector machine and artificial neural networks, were applied to form classification models for gender recognition. The obtained results showed that gender recognition with Raman spectra of teeth is possible but strongly depends both on the tooth type and spectrum recording site. The difference in classification accuracy between different tooth types and recording sites are discussed in terms of the molecular structure difference caused by the influence of masticatory loading or gender-dependent life events.

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