Modification of a previously patented method to unequivocally score A2-like and A1-like bovine ß-casein variants.

A growing interest in the production and commercialization of A2 cow's milk has been observed in many countries in the last few years due to the beneficial properties for human health attributed to A2 ß-casein variant. Methods of varying complexity and different equipment requirements have been proposed for the determination of the ß-casein genotype of individual cows. We proposed herein a modification of a previously patented method based on an amplification-created restriction site PCR followed by restriction fragment length polymorphism analysis. This method allows to identify and differentiate A2-like from A1-like ß-casein variants, after differential endonuclease cleavage flanking the nucleotide that determines the amino acid at position 67 of ß-casein. The advantages of this method are that it: • enables to unequivocally score A2-like as well as A1-like ß-casein variants, • can be performed at low cost in simply equipped molecular biology laboratories, and • can be scaled up to analyze hundreds of samples per day. For these reasons, and based on the results obtained from the analysis carried out in this work, it showed to be a reliable method for the screening of herds to selective breeding of homozygous cows and bulls for A2 or A2-like alleles.

Novel LNA probe-based assay for the A1 and A2 identification of ß-casein gene in milk samples.

The rising consumption of A2 milk and its derivatives in recent years has garnered attention from both consumers and producers, mainly due its possible health benefits, such as enhanced digestion and easier absorption. Thus, a novel real-time PCR using a combination of locked nucleic acid modified (LNA) conjugated probes was developed to genotype A1 and A2 alleles of ß-casein gene (CSN2) and to detect and quantify the A1 presence in A2 samples. The limit of detection for each probe (A1 and A2) was evaluated using decreasing serial dilutions. Besides, the sensitivity of A1 allele detection in the A2 samples was also tested. The limits of detection of A1 and A2 alleles were 6 copies, while for A1 allele detection in A2 samples was 7.5 copies (1%). The LNA-probe based method was found to be rapid, robust, highly sensitive, cost effective, and can be employed as screening test to certificate the A2 dairy products.

Energetic parameters of ß-casein/quercetin activated and thermodynamically stable complex formation accessed by Surface Plasmon Resonance.

Characterizing the energetics and molecular dynamics of binding between proteins and bioactive compounds is strategic. Using surface plasmon resonance, we demonstrated that ß-casein (ß-cas) and quercetin (Qct) form supramolecular complexes driven by an increase in entropy (ΔH°â€¯= 25.86 and TΔS° =53.49 kJ∙mol-1 at 25 °C). It was possible to infer that the ß-cas/Qct complex was formed via an activated complex synthesized by an entropic reduction (TΔS‡(a)= -15.31 kJ mol-1 and TΔS‡(d)= -68.80 kJ mol-1 at 25 °C) and an enthalpic increase (ΔH‡(a) = 30.87 and ΔH‡(d) =5.0 kJ∙mol-1 at 25 °C). Independent of the nature of the Hofmeister ions, the salts KCl or KSCN increased complex stability by decreasing both the kinetic and thermodynamic enthalpy values, through shielding of the electrostatic interactions at the electric double layer of the interacting molecules. An increase in temperature favored both the association of the free interacting molecules and the dissociation of the thermodynamically stable ß-cas/Qct complexes. These results provide insights into the ß-cas/Qct interaction process and contribute to the understanding of how Hofmeister ions can modulate intermolecular interactions between proteins and small molecules.

Factor analysis as a tool to estimate association among individual proteins and other milk components with casein micelle size and cheese yield / Análise fatorial como ferramenta para estimar a associação entre proteínas individuais e outros componentes do leite com o tamanho das micelas de caseína e massa seca de queijo

The present study attempted to identify individual milk proteins and other milk components that are associated with casein micelle size (CMS) and dry matter cheese yield (DMCY) using factor analysis. Here, we used 140 bulk tank milk samples from different farms. Milk composition was determined using a Fourier transform infrared equipament. The individual milk proteins were (αS-casein, ß-casein, κ-casein, ß-lactoglobulin and α-lactoalbumin) measured by their electrophoretic profile. The CMS was estimated by photon correlation spectroscopy, and the DMCY was determined using reduced laboratory-scale cheese production. Factor analysis partitioned the milk components into three groups that, taken together, explain 68.3% of the total variance. The first factor was defined as "CMS", while the second as "DMCY" factor, based on their high loadings. The CMS was positively correlated with protein, casein, non-fat solids and αS-casein and negatively associated with κ-casein and ß-lactoglubulin. DMCY was positively correlated with fat, protein, casein, total solids and negatively correlated with αs-casein. These results indicate that the variation of individual milk proteins may be an important aspect correlated to milk quality and cheese production.(AU)

O objetivo do presente estudo foi avaliar a associação das frações proteicas individuais e de outros componentes do leite com o tamanho das micelas de caseína (TMC) e a produção de matéria seca de queijo (MSQ) utilizando-se análise fatorial. Foram coletadas 140 amostras de leite de tanque provenientes de diferentes fazendas. A determinação da composição do leite foi determinada por espectroscopia no infravermelho com transformação de Fourier. As proteínas individuais (αS-caseína, ß-caseína, κ-caseína, ß-lactoglobulina e α-lactalbumina) foram quantificadas pelo perfil eletroforético. O tamanho médio das micelas de caseína foi analisado pelo princípio de espectroscopia de correlação de fótons e pela produção MSQ a partir do modelo de coagulação do leite em escala reduzida. A análise fatorial delimitou as variáveis em três fatores, que, juntos, responderam por 68,3% da variação total dos dados. No primeiro fator foram observadas as associações mais fortes com o TMC, enquanto no segundo fator as correlações foram mais significativas com a MSQ. O TMC foi associado positivamente com o conteúdo de proteína, caseína, sólidos desengordurados e αS-caseína, e negativamente com κ-caseína e ß-lactoglubulina. MSQ foi associada positivamente com o teor gordura, proteína e caseína total, sólidos totais, e negativamente com o teor de αs-caseína. Esses resultados indicam que a variação quantitativa das proteínas do leite pode ser determinante da qualidade do leite na produção de queijo.(AU)

Factor analysis as a tool to estimate association among individual proteins and other milk components with casein micelle size and cheese yield / Análise fatorial como ferramenta para estimar a associação entre proteínas individuais e outros componentes do leite com o tamanho das micelas de caseína e massa seca de queijo

The present study attempted to identify individual milk proteins and other milk components that are associated with casein micelle size (CMS) and dry matter cheese yield (DMCY) using factor analysis. Here, we used 140 bulk tank milk samples from different farms. Milk composition was determined using a Fourier transform infrared equipament. The individual milk proteins were (αS-casein, ß-casein, κ-casein, ß-lactoglobulin and α-lactoalbumin) measured by their electrophoretic profile. The CMS was estimated by photon correlation spectroscopy, and the DMCY was determined using reduced laboratory-scale cheese production. Factor analysis partitioned the milk components into three groups that, taken together, explain 68.3% of the total variance. The first factor was defined as "CMS", while the second as "DMCY" factor, based on their high loadings. The CMS was positively correlated with protein, casein, non-fat solids and αS-casein and negatively associated with κ-casein and ß-lactoglubulin. DMCY was positively correlated with fat, protein, casein, total solids and negatively correlated with αs-casein. These results indicate that the variation of individual milk proteins may be an important aspect correlated to milk quality and cheese production.(AU)

O objetivo do presente estudo foi avaliar a associação das frações proteicas individuais e de outros componentes do leite com o tamanho das micelas de caseína (TMC) e a produção de matéria seca de queijo (MSQ) utilizando-se análise fatorial. Foram coletadas 140 amostras de leite de tanque provenientes de diferentes fazendas. A determinação da composição do leite foi determinada por espectroscopia no infravermelho com transformação de Fourier. As proteínas individuais (αS-caseína, ß-caseína, κ-caseína, ß-lactoglobulina e α-lactalbumina) foram quantificadas pelo perfil eletroforético. O tamanho médio das micelas de caseína foi analisado pelo princípio de espectroscopia de correlação de fótons e pela produção MSQ a partir do modelo de coagulação do leite em escala reduzida. A análise fatorial delimitou as variáveis em três fatores, que, juntos, responderam por 68,3% da variação total dos dados. No primeiro fator foram observadas as associações mais fortes com o TMC, enquanto no segundo fator as correlações foram mais significativas com a MSQ. O TMC foi associado positivamente com o conteúdo de proteína, caseína, sólidos desengordurados e αS-caseína, e negativamente com κ-caseína e ß-lactoglubulina. MSQ foi associada positivamente com o teor gordura, proteína e caseína total, sólidos totais, e negativamente com o teor de αs-caseína. Esses resultados indicam que a variação quantitativa das proteínas do leite pode ser determinante da qualidade do leite na produção de queijo.(AU)

Perinatal exposure to bisphenol A modifies the transcriptional regulation of the ß-Casein gene during secretory activation of the rat mammary gland.

With the aim to analyze whether bisphenol A (BPA) modifies ß-Casein (ß-Cas) synthesis and transcriptional regulation in perinatally exposed animals, here, pregnant F0 rats were orally exposed to 0, 0.6 or 52 µg BPA/kg/day from gestation day 9 until weaning. Then, F1 females were bred and mammary glands were obtained on lactation day 2. Perinatal BPA exposure decreased ß-Cas expression without modifying the activation of prolactin receptor. It also decreased the expression of glucocorticoid receptor in BPA52-exposed dams and ß1 and α6 integrins as well as dystroglycan in both BPA groups. In addition, BPA exposure altered the expression of histone-modifying enzymes and induced histone modifications and DNA methylation in the promoter, enhancer and exon VII of the ß-Cas gene. An impaired crosstalk between the extracellular matrix and lactogenic hormone signaling pathways and epigenetic modifications of the ß-Cas gene could be the molecular mechanisms by which BPA decreased ß-Cas expression.