STATISTICAL MEDIA OPTIMIZATION FOR LUTEIN PRODUCTION FROM MICROALGAE Auxenochlorella protothecoides SAG 211-7A

In this study, the heterotrophic production potential of the secondary carotenoid lutein by the green microalgae Auxenochlorella protothecoides SAG 211-7a was investigated. A sequential statistical technique was applied to optimize modified bold’s basal media (MBB) to enhance the lutein production from microalgae Auxenochlorella protothecoides SAG 211-7a. Taguchi orthogonal array method was applied to select the various independent variables which affect the lutein production. It showed that sucrose, yeast extract, MgSO4.7H2O and EDTA were the significant factors affect the lutein production. Further, to increase the lutein yield and to study the interaction between these factors response surface methodology (RSM) was employed. The statistical model was validated with respect to lutein production under the conditions predicted by the model containing sucrose 14.0 g/l, yeast extract 3.0 g/l, MgSO4.7H2O 0.8 g/l and EDTA 0.76 g/l. The production of lutein obtained experimentally using the above medium was 1303 ± 25.32 μg/l, which is in correlation with the predicted value of 1337.21 g/l by the RSM regression study. Thus after sequential statistical media optimization strategy a 5-fold enhancement in lutein production was achieved

Impact of Maternal Air Pollution exposure on children's lung health: An Indian perspective

© 2018 by the authors. Air pollution has become an emerging invisible killer in recent years and is a major cause of morbidity and mortality globally. More than 90% of the world's children breathe toxic air every day. India is among the top ten most highly polluted countries with an average PM 10 level of 134 μg/m 3 per year. It is reported that 99% of India's population encounters air pollution levels that exceed the World Health Organization Air Quality Guideline, advising a PM 2.5 permissible level of 10 μg/m 3 . Maternal exposure to air pollution has serious health outcomes in offspring because it can affect embryonic phases of development during the gestation period. A fetus is more prone to effects from air pollution during embryonic developmental phases due to resulting oxidative stress as antioxidant mechanisms are lacking at that stage. Any injury during this vulnerable period (embryonic phase) will have a long-term impact on offspring health, both early and later in life. Epidemiological studies have revealed that maternal exposure to air pollution increases the risk of development of airway disease in the offspring due to impaired lung development in utero. In this review, we discuss cellular mechanisms involved in maternal exposure to air pollution and how it can impact airway disease development in offspring. A better understanding of these mechanisms in the context of maternal exposure to air pollution can offer a new avenue to prevent the development of airway disease in offspring

Microbiota modulating nutritional approaches to countering the effects of viral respiratory infections including SARS-CoV-2 through promoting metabolic and immune fitness with probiotics and plant bioactives

Viral respiratory infections (VRIs) can spread quickly and cause enormous morbidityand mortality worldwide. These events pose serious threats to public health due to time lags indeveloping vaccines to activate the acquired immune system. The high variability of people’ssymptomatic responses to viral infections, as illustrated in the current COVID-19 pandemic, indicatesthe potential to moderate the severity of morbidity from VRIs. Growing evidence supports rolesfor probiotic bacteria (PB) and prebiotic dietary fiber (DF) and other plant nutritional bioactivesin modulating immune functions. While human studies help to understand the epidemiology andimmunopathology of VRIs, the chaotic nature of viral transmissions makes it difficult to undertakemechanistic study where the pre-conditioning of the metabolic and immune system could bebeneficial. However, recent experimental studies have significantly enhanced our understanding ofhow PB and DF, along with plant bioactives, can significantly modulate innate and acquired immunityresponses to VRIs. Synbiotic combinations of PB and DF potentiate increased benefits primarilythrough augmenting the production of short-chain fatty acids (SCFAs) such as butyrate. These andspecific plant polyphenolics help to regulate immune responses to both restrain VRIs and temperthe neutrophil response that can lead to acute respiratory distress syndrome (ARDS). This reviewhighlights the current understanding of the potential impact of targeted nutritional strategies insetting a balanced immune tone for viral clearance and reinforcing homeostasis. This knowledge mayguide the development of public health tactics and the application of functional foods with PB andDF components as a nutritional approach to support countering VRI morbidit

A rare myoepithelioma of the sinonasal cavity: case report

Myoepithelioma is a rare benign neoplasm. Pure accounting for less than 1% of all salivary gland tumors. Only three cases of sinonasal myoepithelioma have been reported in the literature. Diagnosis of myoepithelioma through light microscopy is possible and immunohistochemistry is done to facilitate the diagnosis. The lesion is so rare that there are no specific indications/guidelines for its treatment. We report to you a rare case of sinonasal myoepithelioma in a 57 year old Asian female

High throughput method for analysis of repeat number for 28 phase variable loci of C. jejuni strain NCTC11168

Mutations in simple sequence repeat tracts are a major mechanism of phase variation in several bacterial species including Campylobacter jejuni. Changes in repeat number of tracts located within the reading frame can produce a high frequency of reversible switches in gene expression between ON and OFF states. The genome of C. jejuni strain NCTC11168 contains 29 loci with polyG/polyC tracts of seven or more repeats. This protocol outlines a method for rapidly determining ON/OFF states of these 28 phase-variable loci in a large number of individual colonies. The method combines a series of multiplex PCR assays with a GeneScan assay and automated extraction of tract length, repeat number and expression state. This high throughput, multiplex assay has utility for detecting shifts in phase variation states within and between populations over time and for exploring the effects of phase variation on adaptation to differing selective pressures. An important output of this assay is combinatorial expression states that cannot be determined by other methods. This method can be adapted to analysis of phase variation in other C. jejuni strains and in a diverse range of bacterial species

A Novel Method of Characterizing Genetic Sequences: Genome Space with Biological Distance and Applications

Most existing methods for phylogenetic analysis involve developing an evolutionary model and then using some type of computational algorithm to perform multiple sequence alignment. There are two problems with this approach: (1) different evolutionary models can lead to different results, and (2) the computation time required for multiple alignments makes it impossible to analyse the phylogeny of a whole genome. This motivates us to create a new approach to characterize genetic sequences.To each DNA sequence, we associate a natural vector based on the distributions of nucleotides. This produces a one-to-one correspondence between the DNA sequence and its natural vector. We define the distance between two DNA sequences to be the distance between their associated natural vectors. This creates a genome space with a biological distance which makes global comparison of genomes with same topology possible. We use our proposed method to analyze the genomes of the new influenza A (H1N1) virus, human rhinoviruses (HRV) and mammalian mitochondrial. The result shows that a triple-reassortant swine virus circulating in North America and the Eurasian swine virus belong to the lineage of the influenza A (H1N1) virus. For the HRV and mammalian mitochondrial genomes, the results coincide with biologists' analyses.Our approach provides a powerful new tool for analyzing and annotating genomes and their phylogenetic relationships. Whole or partial genomes can be handled more easily and more quickly than using multiple alignment methods. Once a genome space has been constructed, it can be stored in a database. There is no need to reconstruct the genome space for subsequent applications, whereas in multiple alignment methods, realignment is needed to add new sequences. Furthermore, one can make a global comparison of all genomes simultaneously, which no other existing method can achieve