scholarly journals Omics Approaches to Assess Flavor Development in Cheese

Foods ◽  
2022 ◽  
Vol 11 (2) ◽  
pp. 188
Author(s):  
Rania Anastasiou ◽  
Maria Kazou ◽  
Marina Georgalaki ◽  
Anastasios Aktypis ◽  
Georgia Zoumpopoulou ◽  
...  
Keyword(s):  
Amplicon Sequencing ◽  
Vital Role ◽  
Organoleptic Properties ◽  
Accurate Identification ◽  
Cheese Ripening ◽  
Sequencing Technologies ◽  
Cheese Flavor ◽  
Flavor Development ◽  
High Throughput Dna Sequencing ◽  
Integration Analysis

Cheese is characterized by a rich and complex microbiota that plays a vital role during both production and ripening, contributing significantly to the safety, quality, and sensory characteristics of the final product. In this context, it is vital to explore the microbiota composition and understand its dynamics and evolution during cheese manufacturing and ripening. Application of high-throughput DNA sequencing technologies have facilitated the more accurate identification of the cheese microbiome, detailed study of its potential functionality, and its contribution to the development of specific organoleptic properties. These technologies include amplicon sequencing, whole-metagenome shotgun sequencing, metatranscriptomics, and, most recently, metabolomics. In recent years, however, the application of multiple meta-omics approaches along with data integration analysis, which was enabled by advanced computational and bioinformatics tools, paved the way to better comprehension of the cheese ripening process, revealing significant associations between the cheese microbiota and metabolites, as well as their impact on cheese flavor and quality.

Microbial Non-Coagulant Enzymes Used in Cheese Making

2018 ◽  
pp. 204-221
Author(s):  
Ekaterini Moschopoulou
Keyword(s):  
Cross Linking ◽  
Peptide Bonds ◽  
Cheese Making ◽  
Cheese Ripening ◽  
Cheese Texture ◽  
Cheese Flavor ◽  
Flavor Development ◽  
Microbial Lipases ◽  
Bacteria And Fungi ◽  
Almost All

In this chapter, the use of microbial non-coagulant proteases, microbial lipases, and microbial transglutaminase in the cheese making procedure is discussed. Microbial proteases and lipases have been used for over 30 years to accelerate cheese ripening and consequently to enhance the cheese flavor development by increasing proteolysis and lipolysis level in a shorter time. They are commercially produced by bacteria and fungi species. Transglutaminase is a relative new enzyme, which catalyzes the cross-linking of peptide bonds and helps to improve the cheese texture and to increase the cheese yield. Today, cheeses from almost all cheese categories are produced using these enzymes.

scholarly journals Multiple bacteria associated with the more dysbiotic genitourinary microbiomes in patients with type 2 diabetes mellitus

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Hua Zha ◽  
Fengping Liu ◽  
Zongxin Ling ◽  
Kevin Chang ◽  
Jiezuan Yang ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Alpha Diversity ◽  
Amplicon Sequencing ◽  
Diversity Indices ◽  
Vital Role ◽  
Rrna Gene ◽  
Beta Glucosidase

AbstractType 2 diabetes mellitus (T2DM) influences the human health and can cause significant illnesses. The genitourinary microbiome profiles in the T2DM patients remain poorly understood. In the current study, a series of bioinformatic and statistical analyses were carried out to determine the multiple bacteria associated with the more dysbiotic genitourinary microbiomes (i.e., those with lower dysbiosis ratio) in T2DM patients, which were sequenced by Illumina-based 16S rRNA gene amplicon sequencing. All the genitourinary microbiomes from 70 patients with T2DM were clustered into three clusters of microbiome profiles, i.e., Cluster_1_T2DM, Cluster_2_T2DM and Cluster_3_T2DM, with Cluster_3_T2DM at the most dysbiotic genitourinary microbial status. The three clustered T2DM microbiomes were determined with different levels of alpha diversity indices, and driven by distinct urinalysis variables. OTU12_Clostridiales and OTU28_Oscillospira were likely to drive the T2DM microbiomes to more dysbiotic status, while OTU34_Finegoldia could play a vital role in maintaining the least dysbiotic T2DM microbiome (i.e., Cluster_1_T2DM). The functional metabolites K08300_ribonuclease E, K01223_6-phospho-beta-glucosidase and K00029_malate dehydrogenase (oxaloacetate-decarboxylating) (NADP+) were most associated with Cluster_1_T2DM, Cluster_2_T2DM and Cluster_3_T2DM, respectively. The characteristics and multiple bacteria associated with the more dysbiotic genitourinary microbiomes in T2DM patients may help with the better diagnosis and management of genitourinary dysbiosis in T2DM patients.

scholarly journals Whole Exome Sequencing in Coloboma/Microphthalmia: Identification of Novel and Recurrent Variants in Seven Genes

Genes ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 65
Author(s):  
Patricia Haug ◽  
Samuel Koller ◽  
Jordi Maggi ◽  
Elena Lang ◽  
Silke Feil ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Whole Exome Sequencing ◽  
Genetic Screening ◽  
De Novo ◽  
Efficient Tool ◽  
Sequencing Technologies ◽  
Whole Exome ◽  
Screening And Identification ◽  
High Throughput Dna Sequencing ◽  
New Mutations

Coloboma and microphthalmia (C/M) are related congenital eye malformations, which can cause significant visual impairment. Molecular diagnosis is challenging as the genes associated to date with C/M account for only a small percentage of cases. Overall, the genetic cause remains unknown in up to 80% of patients. High throughput DNA sequencing technologies, including whole-exome sequencing (WES), are therefore a useful and efficient tool for genetic screening and identification of new mutations and novel genes in C/M. In this study, we analyzed the DNA of 19 patients with C/M from 15 unrelated families using singleton WES and data analysis for 307 genes of interest. We identified seven novel and one recurrent potentially disease-causing variants in CRIM1, CHD7, FAT1, PTCH1, PUF60, BRPF1, and TGFB2 in 47% of our families, three of which occurred de novo. The detection rate in patients with ocular and extraocular manifestations (67%) was higher than in patients with an isolated ocular phenotype (46%). Our study highlights the significant genetic heterogeneity in C/M cohorts and emphasizes the diagnostic power of WES for the screening of patients and families with C/M.

scholarly journals From Genetics to Genomics of Epilepsy

2012 ◽  
Vol 2012 ◽  
pp. 1-18 ◽  
Author(s):  
Silvio Garofalo ◽  
Marisa Cornacchione ◽  
Alfonso Di Costanzo
Keyword(s):  
Dna Sequencing ◽  
Dna Microarrays ◽  
Molecular Cytogenetics ◽  
Entire Genome ◽  
Sequencing Technologies ◽  
Genomic Approach ◽  
Molecular Karyotype ◽  
High Throughput Dna Sequencing ◽  
Laboratory Technology ◽  
Near Future

The introduction of DNA microarrays and DNA sequencing technologies in medical genetics and diagnostics has been a challenge that has significantly transformed medical practice and patient management. Because of the great advancements in molecular genetics and the development of simple laboratory technology to identify the mutations in the causative genes, also the diagnostic approach to epilepsy has significantly changed. However, the clinical use of molecular cytogenetics and high-throughput DNA sequencing technologies, which are able to test an entire genome for genetic variants that are associated with the disease, is preparing a further revolution in the near future. Molecular Karyotype and Next-Generation Sequencing have the potential to identify causative genes or loci also in sporadic or non-familial epilepsy cases and may well represent the transition from a genetic to a genomic approach to epilepsy.

scholarly journals A phylogenetic transform enhances analysis of compositional microbiota data

2016 ◽  
Author(s):  
Justin D Silverman ◽  
Alex Washburne ◽  
Sayan Mukherjee ◽  
Lawrence A David
Keyword(s):  
Microbial Communities ◽  
Relative Abundance ◽  
Dominant Role ◽  
Phylogenetic Information ◽  
Abundance Data ◽  
Sequencing Technologies ◽  
Environmental Selection ◽  
Health And Disease ◽  
High Throughput Dna Sequencing ◽  
Spurious Results

ABSTRACTHigh-throughput DNA sequencing technologies have revolutionized the study of microbial communities (microbiota) and have revealed their importance in both human health and disease. However, due to technical limitations, data from microbiota surveys reflect the relative abundance of bacterial taxa and not their absolute levels. It is well known that applying common statistical methods, such as correlation or hypothesis testing, to relative abundance data can lead to spurious results. Here, we introduce the PhILR transform, a data transform that utilizes microbial phylogenetic information. This transform enables off-the-shelf statistical tools to be applied to microbiota surveys free from artifacts usually associated with analysis of relative abundance data. Using environmental and human-associated microbial community datasets as benchmarks, we find that the PhILR transform significantly improves the performance of distance-based and machine learning-based statistics, boosting the accuracy of widely used algorithms on reference benchmarks by 90%. Because the PhILR transform relies on bacterial phylogenies, statistics applied in the PhILR coordinate system are also framed within an evolutionary perspective. Regression on PhILR transformed human microbiota data identified evolutionarily neighboring bacterial clades that may have differentiated to adapt to distinct body sites. Variance statistics showed that the degree of covariation of bacterial clades across human body sites tended to increase with phylogenetic relatedness between clades. These findings support the hypothesis that environmental selection, not competition between bacteria, plays a dominant role in structuring human-associated microbial communities.

scholarly journals Population Genomic- and Phylogenomic-Enabled Advances to Increase Insight Into Pathogen Biology and Epidemiology

2021 ◽  
Vol 111 (1) ◽  
pp. 8-11
Author(s):  
Remco Stam ◽  
Pierre Gladieux ◽  
Boris A. Vinatzer ◽  
Erica M. Goss ◽  
Neha Potnis ◽  
...  
Keyword(s):  
Population Genetics ◽  
Population Genomics ◽  
Cost Effective ◽  
Whole Genome ◽  
Genome Data ◽  
Sequencing Technologies ◽  
Population Genomic ◽  
High Throughput Dna Sequencing ◽  
Opening Up ◽  
Insight Into

Population genetics has been a key discipline in phytopathology for many years. The recent rise in cost-effective, high-throughput DNA sequencing technologies, allows sequencing of dozens, if not hundreds of specimens, turning population genetics into population genomics and opening up new, exciting opportunities as described in this Focus Issue . Without the limitations of genetic markers and the availability of whole or near whole-genome data, population genomics can give new insights into the biology, evolution and adaptation, and dissemination patterns of plant-associated microbes.

scholarly journals Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Genes ◽  
2019 ◽  
Vol 10 (11) ◽  
pp. 858 ◽  
Author(s):  
Krehenwinkel ◽  
Pomerantz ◽  
Prost
Keyword(s):  
Dna Sequencing ◽  
Biodiversity Loss ◽  
Taxonomic Composition ◽  
Great Promise ◽  
Sequencing Platform ◽  
Biological Communities ◽  
Sequencing Technologies ◽  
Oxford Nanopore ◽  
Sequencing Studies ◽  
High Throughput Dna Sequencing

We live in an era of unprecedented biodiversity loss, affecting the taxonomic composition of ecosystems worldwide. The immense task of quantifying human imprints on global ecosystems has been greatly simplified by developments in high-throughput DNA sequencing technology (HTS). Approaches like DNA metabarcoding enable the study of biological communities at unparalleled detail. However, current protocols for HTS-based biodiversity exploration have several drawbacks. They are usually based on short sequences, with limited taxonomic and phylogenetic information content. Access to expensive HTS technology is often restricted in developing countries. Ecosystems of particular conservation priority are often remote and hard to access, requiring extensive time from field collection to laboratory processing of specimens. The advent of inexpensive mobile laboratory and DNA sequencing technologies show great promise to facilitate monitoring projects in biodiversity hot-spots around the world. Recent attention has been given to portable DNA sequencing studies related to infectious organisms, such as bacteria and viruses, yet relatively few studies have focused on applying these tools to Eukaryotes, such as plants and animals. Here, we outline the current state of genetic biodiversity monitoring of higher Eukaryotes using Oxford Nanopore Technology’s MinION portable sequencing platform, as well as summarize areas of recent development.

scholarly journals Microbiome Profile of Deep Endometriosis Patients: Comparison of Vaginal Fluid, Endometrium and Lesion

Diagnostics ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 163 ◽  
Author(s):  
Camila Hernandes ◽  
Paola Silveira ◽  
Aline Fernanda Rodrigues Sereia ◽  
Ana Paula Christoff ◽  
Helen Mendes ◽  
...  
Keyword(s):  
Marker Gene ◽  
Amplicon Sequencing ◽  
Vaginal Fluid ◽  
Deep Endometriosis ◽  
Eutopic Endometrium ◽  
Bacterial Composition ◽  
Microbiome Profile ◽  
Genus Lactobacillus ◽  
High Throughput Dna Sequencing ◽  
Bacterial Patterns

This work aimed to identify and compare the bacterial patterns present in endometriotic lesions, eutopic endometrium and vaginal fluid from endometriosis patients with those found in the vaginal fluid and eutopic endometrium of control patients. Vaginal fluid, eutopic endometrium and endometriotic lesions were collected. DNA was extracted and the samples were analyzed to identify microbiome by high-throughput DNA sequencing of the 16S rRNA marker gene. Amplicon sequencing from vaginal fluid, eutopic endometrium and endometriotic lesion resulted in similar profiles of microorganisms, composed most abundantly by the genus Lactobacillus, Gardnerella, Streptococcus and Prevotella. No significant differences were found in the diversity analysis of microbiome profiles between control and endometriotic patients; however deep endometriotic lesions seems to present different bacterial composition, less predominant of Lactobacillus and with more abundant Alishewanella, Enterococcus and Pseudomonas.

scholarly journals Optimisation of sample storage and DNA extraction for human gut microbiota studies​

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Jekaterina Kazantseva ◽  
Esther Malv ◽  
Aleksei Kaleda ◽  
Aili Kallastu ◽  
Anne Meikas
Keyword(s):  
Gut Microbiota ◽  
Dna Extraction ◽  
Personalised Medicine ◽  
Amplicon Sequencing ◽  
Rrna Gene ◽  
Human Gut ◽  
Human Gut Microbiota ◽  
Sequencing Technologies ◽  
Different Temperatures ◽  
Reliable Solution

Abstract Background New developments in next-generation sequencing technologies and massive data received from this approach open wide prospects for personalised medicine and nutrition studies. Metagenomic analysis of the gut microbiota is paramount for the characterization of human health and wellbeing. Despite the intensive research, there is a huge gap and inconsistency between different studies due to the non-standardised and biased pipeline. Methodical and systemic understanding of every stage in the process is necessary to overcome all bottlenecks and grey zones of gut microbiota studies, where all details and interactions between processes are important. Results Here we show that an inexpensive, but reliable iSeq 100 platform is an excellent tool to perform the analysis of the human gut microbiota by amplicon sequencing of the 16 S rRNA gene. Two commercial DNA extraction kits and different starting materials performed similarly regarding the taxonomic distribution of identified bacteria. DNA/RNA Shield reagent proved to be a reliable solution for stool samples collection, preservation, and storage, as the storage of faecal material in DNA/RNA Shield for three weeks at different temperatures and thawing cycles had a low impact on the bacterial distribution. Conclusions Altogether, a thoroughly elaborated pipeline with close attention to details ensures high reproducibility with significant biological but not technical variations.

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