Metagenomics is the study of genomes recovered from environmental samples without culturing. It involves extracting DNA from an environmental sample and sequencing the DNA. This allows study of the 99% of microbes that cannot be cultured. Metagenomics has applications in discovering new antibiotics, enzymes, and understanding microbial communities and host interactions. It provides a culture-independent way to access genetic diversity and biotechnological potential from uncultured microorganisms.
Metagenomics is the study of genomic material obtained directly from environmental samples rather than from isolated cultures. It allows researchers to study the 99% of microorganisms that cannot be cultured using traditional methods. There are two main approaches - sequence-driven metagenomics sequences environmental DNA and compares taxonomic relationships, while function-driven metagenomics expresses cloned genes to compare metabolic relationships and discover new enzymes/chemicals. Metagenomics has been applied to study microbes in ocean water, human gut, acid mine drainage and more extreme habitats, identifying novel genes and furthering understanding of microbial communities. Future applications include discovering new antibiotics and enzymes, studying human microbiomes and antibiotic resistance.
Metagenomics is the study of genetic material recovered directly from environmental samples without culturing. This field enables research on uncultured organisms and microbial communities. There are three main metagenomic approaches: biochemical, whole genome shotgun sequencing, and 16s rRNA sequencing. Metagenomics is being applied to study human microbiomes, discover new genes and enzymes, monitor environmental impacts, and characterize uncultured microbes. Future directions include identifying more novel products from uncultured bacteria and improving culture methods and bioinformatics tools.
This document discusses the field of metagenomics, which involves directly extracting and sequencing genetic material from environmental samples without culturing individual microbial species. It provides a brief history of metagenomics from early microbiologists in the 17th century to recent large-scale sequencing projects. Methods of metagenomic analysis like sequence-driven and function-driven approaches are described. Applications to studying uncultured symbiotic microbes, extreme environments, and the human gut microbiome are also summarized.
Metagenomics is the study of metagenome, genetics material, recovered directly from environmental sample such as soil, water or faeces.
Metagenomics is based on the genomics analysis of microbial DNA directly
from the communities present in samples
Metagenomics technology – genomics on a large scale will probably lead to great advances in medicine, agriculture, energy production and bioremediation.
Metagenomics can unlock the massive uncultured microbial diversity present in the environment for new molecule for therapeutic and biotechnological application.
Metagenomic studies have identified many novel microbial genes coding for metabolic pathways such as energy acquisition, carbon and nitrogen metabolism in natural environments that were previously considered to lack such metabolism
Shotgun metagenomics sequencing allows researchers to comprehensively sample all genes in organisms present in a complex sample without culturing. This provides insights into bacterial diversity, abundance, and uncultured microbes. Bioinformatics pipelines guide analysis including quality filtering, assembly, binning, gene finding, fingerprinting, and phylogeny/diversity modeling to understand communities. Metagenomics has applications in antibiotic/drug discovery, bioremediation, agriculture, human microbiome mapping, and more. Tools like QIIME, Mothur, MEGAN, and MG-RAST facilitate large-scale metagenomic analysis.
Bioprocess development and technology-Introduction,History of bioprocess,Milestones of Bioprocess development,Bioprocess development,Impact on Biotechnology
Biosensors show the potential to complement laboratory-based analytical methods for
environmental applications. Although biosensors for potential environmental-monitoring
applications have been reported for a wide range of environmental pollutants, from a regulatory
perspective the decision to develop a biosensor method for an environmental application should
consider several interrelated issues. These issues are discussed in terms of the needs, policies,
and mechanisms associated with the identification and selection of appropriate monitoring
methods.
Science and technology of manipulating and improving microbial strains, in order to enhance their metabolic capacities for biotechnological applications, are referred to as strain improvement.
Metagenomics is the study of genomic material obtained directly from environmental samples rather than from isolated cultures. It allows researchers to study the 99% of microorganisms that cannot be cultured using traditional methods. There are two main approaches - sequence-driven metagenomics sequences environmental DNA and compares taxonomic relationships, while function-driven metagenomics expresses cloned genes to compare metabolic relationships and discover new enzymes/chemicals. Metagenomics has been applied to study microbes in ocean water, human gut, acid mine drainage and more extreme habitats, identifying novel genes and furthering understanding of microbial communities. Future applications include discovering new antibiotics and enzymes, studying human microbiomes and antibiotic resistance.
Metagenomics is the study of genetic material recovered directly from environmental samples without culturing. This field enables research on uncultured organisms and microbial communities. There are three main metagenomic approaches: biochemical, whole genome shotgun sequencing, and 16s rRNA sequencing. Metagenomics is being applied to study human microbiomes, discover new genes and enzymes, monitor environmental impacts, and characterize uncultured microbes. Future directions include identifying more novel products from uncultured bacteria and improving culture methods and bioinformatics tools.
This document discusses the field of metagenomics, which involves directly extracting and sequencing genetic material from environmental samples without culturing individual microbial species. It provides a brief history of metagenomics from early microbiologists in the 17th century to recent large-scale sequencing projects. Methods of metagenomic analysis like sequence-driven and function-driven approaches are described. Applications to studying uncultured symbiotic microbes, extreme environments, and the human gut microbiome are also summarized.
Metagenomics is the study of metagenome, genetics material, recovered directly from environmental sample such as soil, water or faeces.
Metagenomics is based on the genomics analysis of microbial DNA directly
from the communities present in samples
Metagenomics technology – genomics on a large scale will probably lead to great advances in medicine, agriculture, energy production and bioremediation.
Metagenomics can unlock the massive uncultured microbial diversity present in the environment for new molecule for therapeutic and biotechnological application.
Metagenomic studies have identified many novel microbial genes coding for metabolic pathways such as energy acquisition, carbon and nitrogen metabolism in natural environments that were previously considered to lack such metabolism
Shotgun metagenomics sequencing allows researchers to comprehensively sample all genes in organisms present in a complex sample without culturing. This provides insights into bacterial diversity, abundance, and uncultured microbes. Bioinformatics pipelines guide analysis including quality filtering, assembly, binning, gene finding, fingerprinting, and phylogeny/diversity modeling to understand communities. Metagenomics has applications in antibiotic/drug discovery, bioremediation, agriculture, human microbiome mapping, and more. Tools like QIIME, Mothur, MEGAN, and MG-RAST facilitate large-scale metagenomic analysis.
Bioprocess development and technology-Introduction,History of bioprocess,Milestones of Bioprocess development,Bioprocess development,Impact on Biotechnology
Biosensors show the potential to complement laboratory-based analytical methods for
environmental applications. Although biosensors for potential environmental-monitoring
applications have been reported for a wide range of environmental pollutants, from a regulatory
perspective the decision to develop a biosensor method for an environmental application should
consider several interrelated issues. These issues are discussed in terms of the needs, policies,
and mechanisms associated with the identification and selection of appropriate monitoring
methods.
Science and technology of manipulating and improving microbial strains, in order to enhance their metabolic capacities for biotechnological applications, are referred to as strain improvement.
The document discusses biological databases and retrieval systems. It provides an overview of Entrez, a retrieval system developed by NCBI that allows integrated searches across multiple biological databases. It also describes how Entrez links related data between databases, and some key features of Entrez like limits, preview/index, and history. Additionally, it summarizes specific NCBI databases accessible through Entrez like PubMed and OMIM, as well as another retrieval system called SRS maintained by EBI.
Site-directed mutagenesis is a molecular biology technique used to make specific changes to DNA sequences. It involves using a primer containing the desired mutation in a PCR reaction to introduce the mutation into the gene of interest. There are different approaches for site-directed mutagenesis using PCR, including using a mutated primer in normal PCR or a primer extension method. The technique is used for applications like protein engineering to study the impact of sequence changes or insert restriction sites. However, it can be difficult to replicate the mutated DNA and screening mutations requires sequencing.
Dr. Shamalamma S. presented on DNA microarrays. DNA microarrays allow thousands of genes to be compared simultaneously by attaching DNA probes to a chip which fluorescently labeled samples can bind to. The chip is then scanned to analyze gene expression levels. Applications include disease diagnosis, toxicology studies, and pharmacogenomics. While a powerful tool, microarrays have limitations such as lack of knowledge about many genes and lack of standardization.
Metagenomics is the study of genetic material recovered directly from environmental samples without culturing organisms. It allows researchers to study the 99.9% of microorganisms that cannot be cultured. Metagenomic analyses of ocean samples revealed over a million new genes and unexpected light-energy pathways in bacteria. Metagenomics has two main approaches - sequence-driven which sequences DNA and compares to databases, and function-driven which screens DNA clones for a desired function. Both approaches have limitations but are complementary. Metagenomics has applications in discovering new antibiotics and enzymes and studying human microbiomes and antibiotic resistance.
Ribozymes are RNA molecules that can catalyze biochemical reactions like protein enzymes. The first ribozyme was discovered in 1980. There are two main classes of natural ribozymes - self-cleaving ribozymes like hammerhead and hairpin ribozymes, and self-splicing ribozymes like group I and group II introns and RNase P. Ribozymes are being investigated for their potential in gene therapy applications by specifically cleaving target mRNA molecules.
Metagenomics is the study of genetic material recovered directly from environmental samples. It provides a new approach to studying microbes that are not easily cultured in a laboratory and enables investigation of microbial communities in their natural habitats. Metagenomics involves directly extracting DNA from samples, sequencing it, and analyzing the genetic information obtained from entire communities of organisms simultaneously. This provides insights into uncultured microbes and their roles in various environments.
This document discusses methylases, which are enzymes that add methyl groups to DNA. Specifically:
- Methylases transfer methyl groups from S-adenosylmethionine to adenine or cytosine bases within their recognition sequence on DNA. This methylation protects the DNA from restriction endonucleases.
- The methylase and restriction enzyme of a bacterial species together form the restriction-modification system, with the methylase protecting the host DNA.
- Methylases are of interest because methylation of some restriction enzyme recognition sites protects the DNA from being cleaved by that enzyme. This allows study of DNA isolated from strains expressing common methylases like Dam or Dcm.
This document discusses metagenomics, which is the study of genetic material recovered directly from environmental samples without culturing organisms. It outlines the difference between traditional genomics which studies one organism at a time in culture, versus metagenomics which sequences all DNA in a sample without culturing. The document then covers historical events in metagenomics, techniques used including direct DNA extraction and sequencing or function-based screening, applications such as discovering microbial diversity and novel enzymes, and future directions such as understanding human microbiomes and discovering novel pathways and organisms.
Structural genomics is a field that aims to determine the 3D structures of all proteins encoded by a genome. It involves determining structures on a large scale using techniques like X-ray crystallography and NMR. This allows identification of novel protein folds and potential drug targets. Comparative genomics compares genomic features between organisms and provides insights into evolution and conserved sequences and functions. It is a key tool in fields like medicine and agriculture.
Genome sequencing is the process of determining the order of nucleotide bases - A, C, G, and T - that make up an organism's DNA. Shotgun sequencing involves randomly breaking the genome into small fragments, sequencing those pieces, and reassembling the sequence by identifying overlapping regions. It was originally used by Sanger to sequence small genomes like viruses and bacteria. There are two main methods - hierarchical shotgun sequencing for larger genomes containing repeats, and whole genome shotgun sequencing for smaller genomes.
Secondary Structure Prediction of proteins Vijay Hemmadi
Secondary structure prediction has been around for almost a quarter of a century. The early methods suffered from a lack of data. Predictions were performed on single sequences rather than families of homologous sequences, and there were relatively few known 3D structures from which to derive parameters. Probably the most famous early methods are those of Chou & Fasman, Garnier, Osguthorbe & Robson (GOR) and Lim. Although the authors originally claimed quite high accuracies (70-80 %), under careful examination, the methods were shown to be only between 56 and 60% accurate (see Kabsch & Sander, 1984 given below). An early problem in secondary structure prediction had been the inclusion of structures used to derive parameters in the set of structures used to assess the accuracy of the method.
Some good references on the subject:
Yeast artificial chromosomes (YACs) are engineered DNA molecules that can clone and replicate large DNA sequences in yeast cells. YACs contain essential yeast elements like a centromere and telomeres that allow them to behave like natural yeast chromosomes. YACs can clone very large inserts of up to 10 megabases of foreign DNA, making them useful for generating whole genome libraries.
Modified M13 vectors have a large number of cloning sites which allow for insertion of foreign DNA. These vectors are derived from the M13 bacteriophage and are commonly used for DNA sequencing, mapping and mutagenesis experiments in molecular biology research. The document appears to be a seminar topic submission about using the M13 phage for biotechnology applications.
The document discusses various computational methods for predicting the three-dimensional structure of proteins from their amino acid sequences. It describes homology modeling, which predicts structures based on known protein structural templates that share sequence homology. It also covers threading/fold recognition and ab initio modeling, which predict structures without templates by using physicochemical principles or energy minimization approaches. Key steps and programs used in each method are outlined.
Metagenomics is the study of genetic material recovered directly from environmental samples. Metagenomics is a molecular tool used to analyse DNA acquired from environmental samples, in order to study the community of microorganisms present, without the necessity of obtaining pure cultures.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
This document provides an overview of protein databases. It discusses the importance of protein databases for storing and analyzing protein sequence, structure, and functional data generated by modern biology. It summarizes several major public protein databases, including UniProt, NCBI RefSeq, PDB, InterPro, and Pfam, which contain protein sequences, structures, families, domains, and functional annotations. Searching and comparing sequences in these databases is an important first step in studying new proteins.
Creation of a cDNA library starts with mRNA instead of DNA. Messenger RNA carries encoded information from DNA to ribosomes for translation into protein. To create a cDNA library, these mRNA molecules are treated with the enzyme reverse transcriptase, which is used to make a DNA copy of an mRNA (i.e., cDNA). A cDNA library represents a sampling of the transcribed genes, but a genomic library includes untranscribed regions.
Metagenomics by microbiology dept. panjab university2018copydeepankarshashni
Metagenomics is the genomic analysis of microorganisms in an environmental sample without culturing. It allows researchers to study unculturable microbes by extracting DNA directly from samples and sequencing it. While metagenomics has advanced our understanding of microbial diversity, challenges remain in expressing genes from uncultured organisms in a surrogate host for functional screening.
This slide lecture is for students seeking help regarding Metagenomics. Do remember me in your prayers.
Metagenomics Applications, Metagenomics working principles , Metagenomic libraries
, Metagenomic Techniques , Metagenomics limitations and other topics are elaborated in this Slideshare.
The document discusses biological databases and retrieval systems. It provides an overview of Entrez, a retrieval system developed by NCBI that allows integrated searches across multiple biological databases. It also describes how Entrez links related data between databases, and some key features of Entrez like limits, preview/index, and history. Additionally, it summarizes specific NCBI databases accessible through Entrez like PubMed and OMIM, as well as another retrieval system called SRS maintained by EBI.
Site-directed mutagenesis is a molecular biology technique used to make specific changes to DNA sequences. It involves using a primer containing the desired mutation in a PCR reaction to introduce the mutation into the gene of interest. There are different approaches for site-directed mutagenesis using PCR, including using a mutated primer in normal PCR or a primer extension method. The technique is used for applications like protein engineering to study the impact of sequence changes or insert restriction sites. However, it can be difficult to replicate the mutated DNA and screening mutations requires sequencing.
Dr. Shamalamma S. presented on DNA microarrays. DNA microarrays allow thousands of genes to be compared simultaneously by attaching DNA probes to a chip which fluorescently labeled samples can bind to. The chip is then scanned to analyze gene expression levels. Applications include disease diagnosis, toxicology studies, and pharmacogenomics. While a powerful tool, microarrays have limitations such as lack of knowledge about many genes and lack of standardization.
Metagenomics is the study of genetic material recovered directly from environmental samples without culturing organisms. It allows researchers to study the 99.9% of microorganisms that cannot be cultured. Metagenomic analyses of ocean samples revealed over a million new genes and unexpected light-energy pathways in bacteria. Metagenomics has two main approaches - sequence-driven which sequences DNA and compares to databases, and function-driven which screens DNA clones for a desired function. Both approaches have limitations but are complementary. Metagenomics has applications in discovering new antibiotics and enzymes and studying human microbiomes and antibiotic resistance.
Ribozymes are RNA molecules that can catalyze biochemical reactions like protein enzymes. The first ribozyme was discovered in 1980. There are two main classes of natural ribozymes - self-cleaving ribozymes like hammerhead and hairpin ribozymes, and self-splicing ribozymes like group I and group II introns and RNase P. Ribozymes are being investigated for their potential in gene therapy applications by specifically cleaving target mRNA molecules.
Metagenomics is the study of genetic material recovered directly from environmental samples. It provides a new approach to studying microbes that are not easily cultured in a laboratory and enables investigation of microbial communities in their natural habitats. Metagenomics involves directly extracting DNA from samples, sequencing it, and analyzing the genetic information obtained from entire communities of organisms simultaneously. This provides insights into uncultured microbes and their roles in various environments.
This document discusses methylases, which are enzymes that add methyl groups to DNA. Specifically:
- Methylases transfer methyl groups from S-adenosylmethionine to adenine or cytosine bases within their recognition sequence on DNA. This methylation protects the DNA from restriction endonucleases.
- The methylase and restriction enzyme of a bacterial species together form the restriction-modification system, with the methylase protecting the host DNA.
- Methylases are of interest because methylation of some restriction enzyme recognition sites protects the DNA from being cleaved by that enzyme. This allows study of DNA isolated from strains expressing common methylases like Dam or Dcm.
This document discusses metagenomics, which is the study of genetic material recovered directly from environmental samples without culturing organisms. It outlines the difference between traditional genomics which studies one organism at a time in culture, versus metagenomics which sequences all DNA in a sample without culturing. The document then covers historical events in metagenomics, techniques used including direct DNA extraction and sequencing or function-based screening, applications such as discovering microbial diversity and novel enzymes, and future directions such as understanding human microbiomes and discovering novel pathways and organisms.
Structural genomics is a field that aims to determine the 3D structures of all proteins encoded by a genome. It involves determining structures on a large scale using techniques like X-ray crystallography and NMR. This allows identification of novel protein folds and potential drug targets. Comparative genomics compares genomic features between organisms and provides insights into evolution and conserved sequences and functions. It is a key tool in fields like medicine and agriculture.
Genome sequencing is the process of determining the order of nucleotide bases - A, C, G, and T - that make up an organism's DNA. Shotgun sequencing involves randomly breaking the genome into small fragments, sequencing those pieces, and reassembling the sequence by identifying overlapping regions. It was originally used by Sanger to sequence small genomes like viruses and bacteria. There are two main methods - hierarchical shotgun sequencing for larger genomes containing repeats, and whole genome shotgun sequencing for smaller genomes.
Secondary Structure Prediction of proteins Vijay Hemmadi
Secondary structure prediction has been around for almost a quarter of a century. The early methods suffered from a lack of data. Predictions were performed on single sequences rather than families of homologous sequences, and there were relatively few known 3D structures from which to derive parameters. Probably the most famous early methods are those of Chou & Fasman, Garnier, Osguthorbe & Robson (GOR) and Lim. Although the authors originally claimed quite high accuracies (70-80 %), under careful examination, the methods were shown to be only between 56 and 60% accurate (see Kabsch & Sander, 1984 given below). An early problem in secondary structure prediction had been the inclusion of structures used to derive parameters in the set of structures used to assess the accuracy of the method.
Some good references on the subject:
Yeast artificial chromosomes (YACs) are engineered DNA molecules that can clone and replicate large DNA sequences in yeast cells. YACs contain essential yeast elements like a centromere and telomeres that allow them to behave like natural yeast chromosomes. YACs can clone very large inserts of up to 10 megabases of foreign DNA, making them useful for generating whole genome libraries.
Modified M13 vectors have a large number of cloning sites which allow for insertion of foreign DNA. These vectors are derived from the M13 bacteriophage and are commonly used for DNA sequencing, mapping and mutagenesis experiments in molecular biology research. The document appears to be a seminar topic submission about using the M13 phage for biotechnology applications.
The document discusses various computational methods for predicting the three-dimensional structure of proteins from their amino acid sequences. It describes homology modeling, which predicts structures based on known protein structural templates that share sequence homology. It also covers threading/fold recognition and ab initio modeling, which predict structures without templates by using physicochemical principles or energy minimization approaches. Key steps and programs used in each method are outlined.
Metagenomics is the study of genetic material recovered directly from environmental samples. Metagenomics is a molecular tool used to analyse DNA acquired from environmental samples, in order to study the community of microorganisms present, without the necessity of obtaining pure cultures.
Gene prediction is the process of determining where a coding gene might be in a genomic sequence. Functional proteins must begin with a Start codon (where DNA transcription begins), and end with a Stop codon (where transcription ends).
This document provides an overview of protein databases. It discusses the importance of protein databases for storing and analyzing protein sequence, structure, and functional data generated by modern biology. It summarizes several major public protein databases, including UniProt, NCBI RefSeq, PDB, InterPro, and Pfam, which contain protein sequences, structures, families, domains, and functional annotations. Searching and comparing sequences in these databases is an important first step in studying new proteins.
Creation of a cDNA library starts with mRNA instead of DNA. Messenger RNA carries encoded information from DNA to ribosomes for translation into protein. To create a cDNA library, these mRNA molecules are treated with the enzyme reverse transcriptase, which is used to make a DNA copy of an mRNA (i.e., cDNA). A cDNA library represents a sampling of the transcribed genes, but a genomic library includes untranscribed regions.
Metagenomics by microbiology dept. panjab university2018copydeepankarshashni
Metagenomics is the genomic analysis of microorganisms in an environmental sample without culturing. It allows researchers to study unculturable microbes by extracting DNA directly from samples and sequencing it. While metagenomics has advanced our understanding of microbial diversity, challenges remain in expressing genes from uncultured organisms in a surrogate host for functional screening.
This slide lecture is for students seeking help regarding Metagenomics. Do remember me in your prayers.
Metagenomics Applications, Metagenomics working principles , Metagenomic libraries
, Metagenomic Techniques , Metagenomics limitations and other topics are elaborated in this Slideshare.
Roughly based on Chapter 11 Biotechnology: Principles and Processes and Chapter 12 Biotechnology and its Applications of Class 12 NCERT for final brush-up before the exams
Characteristics used in classification.pptxMicro biology
The document discusses the major characteristics used in taxonomy to identify microorganisms. It describes morphological characteristics like cell shape, size, staining reactions, and microscopic examination. It also discusses cultural characteristics like colony morphology, physiological characteristics like temperature and pH ranges, and immunological characteristics involving antigen-antibody reactions. Identification is also based on metabolic characteristics, composition of proteins and nucleic acids, DNA-DNA hybridization, and 16S rRNA gene sequencing which can determine evolutionary relationships.
70-80% of people worldwide rely chiefly on traditional, largely herbal, medicines.
The global demand for herbal medicine is not only large but growing.
Various technologies- adopted for enhancing bioactive molecules in medicinal plants.
Biotechnological tools are important for the multiplication and genetic enhancement of medicinal plants.
In vitro regeneration and genetic transformation are the Techniques adopted.
Traditional phenotypic methods and newer genotypic methods can both be used to identify bacteria. Phenotypic methods include gram staining, culturing, and analyzing biochemical characteristics and reactions. These methods have limitations as some bacteria cannot be cultured. Genotypic methods like MALDI-TOF, PCR, and microarrays identify bacteria based on their genetic material and can identify bacteria directly from clinical samples faster than phenotypic methods. A variety of biochemical tests are used as part of phenotypic identification to analyze carbohydrate metabolism, production of specific compounds, enzyme activity, and other characteristics.
This document discusses the extraction of proteases from proteolytic bacteria and their industrial applications. It begins with an introduction to proteases and their catalytic properties. Key steps to extract proteases from bacteria are described, including culturing the bacteria, harvesting cells, disrupting cells, extracting and purifying the proteases. Methods to improve protease yield are also summarized. The document concludes by outlining several major industrial applications of proteolytic enzymes, such as in detergents, waste treatment, pharmaceuticals, food processing and more.
Metagenomics is a set of techniques used to study microbial communities through direct collection and analysis of environmental DNA samples. It allows researchers to study millions of microbial organisms and genetic fragments simultaneously without needing to culture individual microbes in the lab. The main procedures involve sampling an environment, filtering out particles by size, extracting and sequencing DNA fragments. Two common sequencing methods are shotgun sequencing and high-throughput sequencing using platforms like Illumina or SOLiD. Projects like MetaHIT use metagenomics to study the human gut microbiome and its role in health and disease. Potential applications include contributions to earth sciences, life sciences, biomedicine, bioenergy, biotechnology, and microbial forensics.
This document summarizes three papers related to biological conversion of lignocellulosic biomass. The first paper evaluates two red yeast species for their ability to assimilate sugars and aromatics from engineered Arabidopsis plants and successfully converts these products into biofuel precursors. The second paper identifies small drug resistance pumps in Bacillus bacteria that confer tolerance to ionic liquids used in biomass pretreatment and characterizes riboswitches that regulate these pumps. The third paper finds that engineered Pseudomonas putida produces more methyl ketones, a promising diesel blendstock, when grown on plant hydrolysates compared to sugars, due to plant-derived amino acids.
Microbiome research is undergoing a crisis due to issues like the correlation-causation fallacy in studies and poor experimental design. The document discusses challenges with studying the microbiome, including biases and errors introduced from DNA extraction methods, sample storage conditions, and contamination from extraction kits. It emphasizes that every step in microbiome research, from sample collection to analysis, needs careful consideration to draw accurate conclusions.
Microbial strain selection techniques are used to genetically modify microorganisms for improved industrial applications. Strains can be improved through environmental and nutritional optimization as well as genetic manipulation methods like mutagenesis, transduction, transformation, conjugation and protoplast fusion. The goals of strain improvement are to increase productivity, growth rate, substrate utilization and product yield while reducing costs. Improved microbial strains have various applications in medicine, agriculture and industry for the production of enzymes, antibiotics, amino acids and biofuels.
This document discusses several model organisms used for research including E. coli, Arabidopsis thaliana, yeast, and Caenorhabditis elegans. It provides details on the characteristics and reasons for using each as a model organism. E. coli is described as a commonly used prokaryote that reproduces rapidly. Arabidopsis is highlighted as a popular plant model with a small genome. Yeast is noted for its simple eukaryotic cells and fully sequenced genome. C. elegans is discussed as a transparent roundworm useful for studying development and behaviors.
Characterization of Bacteria Isolated from Tropical Soils of Puerto Rico ramoncolon7
This document summarizes a student research project that aimed to characterize bacteria isolated from soils in Puerto Rico. Soil samples were collected and bacteria were isolated on agar plates before being purified through restreaking. Gram staining identified the bacteria as either gram-positive or gram-negative. Genomic DNA was extracted and amplified via PCR. However, when tested on indicator plates, the isolated bacteria did not show any antibiotic production against E. coli or M. luteus as hypothesized. While full characterization was not completed due to time constraints, the student plans future work identifying the bacteria through DNA sequencing.
This document describes the construction of two bacterial artificial chromosome (BAC) libraries containing over 1 gigabase of genomic DNA directly extracted from soil. The libraries were screened for various biochemical activities, identifying clones expressing antibacterial, lipase, amylase, nuclease, and hemolytic activities. Phylogenetic analysis of 16S rRNA gene sequences from one library revealed DNA from diverse microbial taxa. This cloning strategy allows genomic and functional genomic studies of uncultured soil microorganisms.
This research aimed to characterize bacteria isolated from soils in Puerto Rico. Two soil samples were collected and various tests were performed on the isolated bacteria, including Gram staining, DNA purification and amplification, and testing for antibiotic production. One isolated bacterium (S15UPRC-RISEAMGP30SP01A1) was identified as a gram-positive cocci resembling Staphylococcus and did not produce antibiotics. The other (S15UPRC-RISERBCR30P01A2) was a gram-positive Bacillus but did not produce antibiotics. Neither bacterium could be fully characterized due to negative PCR results, failing to confirm the hypothesis of positive antibiotic production. Further tests are needed to fully characterize the
Recombinant Dna technology, Restriction Endonucleas and Vector Dr. Priti D. Diwan
Recombinant DNA technology allows DNA from different sources to be combined to form artificial DNA molecules. This is done by cutting the DNA with restriction enzymes and joining the pieces together with DNA ligase. The artificial DNA can then be inserted into host cells where it is replicated. This technology was developed in 1973 and has many important applications, including producing human insulin in bacteria to treat diabetes, creating genetically modified crops with desirable traits, and producing other proteins and vaccines. The basic steps involve isolating DNA, cutting it with restriction enzymes, ligating the pieces, introducing the DNA into host cells, replicating the DNA within the cells, and identifying cells containing the recombinant DNA.
The Eskitis Institute is a flagship research centre of Griffith University located in Brisbane, Australia that focuses on multidisciplinary drug discovery research. The Institute has over 200 researchers working on projects related to cancer, neurodegenerative diseases, infectious diseases, and global health. It utilizes unique resources like the Nature Bank of natural products, Neuro Bank of neural cell models, and Queensland Compound Library to support its drug discovery work. The Eskitis Institute aims to accelerate the discovery of new treatments for critical diseases through its collaborative and multidisciplinary approach.
hematic appreciation test is a psychological assessment tool used to measure an individual's appreciation and understanding of specific themes or topics. This test helps to evaluate an individual's ability to connect different ideas and concepts within a given theme, as well as their overall comprehension and interpretation skills. The results of the test can provide valuable insights into an individual's cognitive abilities, creativity, and critical thinking skills
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
ESR spectroscopy in liquid food and beverages.pptxPRIYANKA PATEL
With increasing population, people need to rely on packaged food stuffs. Packaging of food materials requires the preservation of food. There are various methods for the treatment of food to preserve them and irradiation treatment of food is one of them. It is the most common and the most harmless method for the food preservation as it does not alter the necessary micronutrients of food materials. Although irradiated food doesn’t cause any harm to the human health but still the quality assessment of food is required to provide consumers with necessary information about the food. ESR spectroscopy is the most sophisticated way to investigate the quality of the food and the free radicals induced during the processing of the food. ESR spin trapping technique is useful for the detection of highly unstable radicals in the food. The antioxidant capability of liquid food and beverages in mainly performed by spin trapping technique.
Immersive Learning That Works: Research Grounding and Paths ForwardLeonel Morgado
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...AbdullaAlAsif1
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
The binding of cosmological structures by massless topological defectsSérgio Sacani
Assuming spherical symmetry and weak field, it is shown that if one solves the Poisson equation or the Einstein field
equations sourced by a topological defect, i.e. a singularity of a very specific form, the result is a localized gravitational
field capable of driving flat rotation (i.e. Keplerian circular orbits at a constant speed for all radii) of test masses on a thin
spherical shell without any underlying mass. Moreover, a large-scale structure which exploits this solution by assembling
concentrically a number of such topological defects can establish a flat stellar or galactic rotation curve, and can also deflect
light in the same manner as an equipotential (isothermal) sphere. Thus, the need for dark matter or modified gravity theory is
mitigated, at least in part.
EWOCS-I: The catalog of X-ray sources in Westerlund 1 from the Extended Weste...Sérgio Sacani
Context. With a mass exceeding several 104 M⊙ and a rich and dense population of massive stars, supermassive young star clusters
represent the most massive star-forming environment that is dominated by the feedback from massive stars and gravitational interactions
among stars.
Aims. In this paper we present the Extended Westerlund 1 and 2 Open Clusters Survey (EWOCS) project, which aims to investigate
the influence of the starburst environment on the formation of stars and planets, and on the evolution of both low and high mass stars.
The primary targets of this project are Westerlund 1 and 2, the closest supermassive star clusters to the Sun.
Methods. The project is based primarily on recent observations conducted with the Chandra and JWST observatories. Specifically,
the Chandra survey of Westerlund 1 consists of 36 new ACIS-I observations, nearly co-pointed, for a total exposure time of 1 Msec.
Additionally, we included 8 archival Chandra/ACIS-S observations. This paper presents the resulting catalog of X-ray sources within
and around Westerlund 1. Sources were detected by combining various existing methods, and photon extraction and source validation
were carried out using the ACIS-Extract software.
Results. The EWOCS X-ray catalog comprises 5963 validated sources out of the 9420 initially provided to ACIS-Extract, reaching a
photon flux threshold of approximately 2 × 10−8 photons cm−2
s
−1
. The X-ray sources exhibit a highly concentrated spatial distribution,
with 1075 sources located within the central 1 arcmin. We have successfully detected X-ray emissions from 126 out of the 166 known
massive stars of the cluster, and we have collected over 71 000 photons from the magnetar CXO J164710.20-455217.
The ability to recreate computational results with minimal effort and actionable metrics provides a solid foundation for scientific research and software development. When people can replicate an analysis at the touch of a button using open-source software, open data, and methods to assess and compare proposals, it significantly eases verification of results, engagement with a diverse range of contributors, and progress. However, we have yet to fully achieve this; there are still many sociotechnical frictions.
Inspired by David Donoho's vision, this talk aims to revisit the three crucial pillars of frictionless reproducibility (data sharing, code sharing, and competitive challenges) with the perspective of deep software variability.
Our observation is that multiple layers — hardware, operating systems, third-party libraries, software versions, input data, compile-time options, and parameters — are subject to variability that exacerbates frictions but is also essential for achieving robust, generalizable results and fostering innovation. I will first review the literature, providing evidence of how the complex variability interactions across these layers affect qualitative and quantitative software properties, thereby complicating the reproduction and replication of scientific studies in various fields.
I will then present some software engineering and AI techniques that can support the strategic exploration of variability spaces. These include the use of abstractions and models (e.g., feature models), sampling strategies (e.g., uniform, random), cost-effective measurements (e.g., incremental build of software configurations), and dimensionality reduction methods (e.g., transfer learning, feature selection, software debloating).
I will finally argue that deep variability is both the problem and solution of frictionless reproducibility, calling the software science community to develop new methods and tools to manage variability and foster reproducibility in software systems.
Exposé invité Journées Nationales du GDR GPL 2024
Basics of crystallography, crystal systems, classes and different forms
Metagenomic
1.
2.
3. INTRODUCTION
0 Total number of prokaryotic cells on earth 4–6 × 1030
0 Less than 0.1% are culturable
0 Metagenomics presently offers a way to access unculturable
microorganisms because it is a culture-independent way to
study them.
0 It involves extracting DNA directly from an environmental
sample –e.g. seawater, soil, the human gut – and then
studying the DNA sample.
5. Etymology
0 The term "metagenomics" was first used by
Jo Handelsman, Jon Clardy, Robert M. Goodman,
Sean F. Brady, and others, and first appeared in
publication in 1998.
Metagenome referes to the idea, that a collection of
genes sequenced from the environment could be
analyzed in way analogous to the study of a single
genome .
6. Metagenomics
0 Metagenomics ( Environmental Genomics or Community
Genomics) is the study of genomes recovered from environmental
samples without the need for culturing them .
0 Metagenomics processes data using bioinformatics tools.
“The application of modern genomics techniques to the study
of communities of microbial organisms directly in their
natural environments, bypassing the need for isolation and
lab cultivation of individual species”
- Kevin Chen and Lior Pachter
7. Why is it revolutionnary?
Classical microbiology
1 colony 1 analysis 1 bacterial identification
20 colonies 20 analyses 20 bacterial identifications
Time consuming
Laborious
expensive
• If you want to identify one
colony, you need to isolate
and send this colony for
sequencing
• If you want to identify more
colonies, you have to repeat
operations for each single
colony
8. Why is it revolutionnary?
Bacterial diversity profile
Metagenomics
Over 5.000 identifications
amongst the most
important populations
1 analysis
• If you want to identify one
colony, you need to isolate
and send this colony for
sequencing
• If you want to identify more
colonies, you have to repeat
operations for each single
colony
9.
10.
11. Why Do METAGENOMICS?
Understanding
Metabolism
Defining the
Minimal
Gene Set
Genome
Engineering
Understanding Cell
Structure & Function
Understanding
Host Interactions
Understanding
Protein-Protein
Interactions
Understanding
Expression
(RNA/Protein)
Discover DNA
Variation, Genotyping
Forensics
Drug/Vaccine
Development
John H has a family
To support
The J. Craig Venter InstituteTIGR: The Institute for Genomic Research
12. Sampling and nucleic acids
extraction:
0 Sampling & nucleic acids extraction Soil is a particularly
complex matrix containing many substances, such as
humic acids, which can be co-extracted during DNA
isolation.
0 Sephadex G-200 spin columns have proven to be one
of the best ways to remove contaminants from soil
DNA.
Recently, a pulse field electrophoresis procedure using
a two-phase agarose gel, with one phase containing
polyvinylpyrrolidone (PVPP), was developed for
removal of humics.
13. There are two types of extraction
techniques:
0(1) direct, in situ, extraction where the cells
are lysed in the soil sample and then the DNA
is recovered; and
0 (2) indirect extraction techniques, where
the cells are removed from the soil and
then lysed for DNA recovery.
14. Construction of a metagenomic library:
0 The classical approach includes the construction of
small insert libraries (<10 kb) in a standard
sequencing vector and in Escherichia coli as a host .
0 However, small insert libraries do not allow detection
of large gene clusters or operons. To circumvent this
limitation researchers have been employing large
insert libraries, such as:
0 cosmid DNA libraries with insert sizes ranging from 25-
35 kb
0 fosmid with inserts of 40 kb
0 (BAC) libraries with insert up to 200 Kb.
15.
16. 0 E. coli is still the preferred host for the cloning and
expression of any metagenome-derived genes and only
very recently have other hosts such as Streptomyces
lividans been employed to identify genes involved in
the biosynthesis of novel antibiotics .
0 Metagenomic libraries are also being developed in other
Gram-negative hosts by several laboratories, and these
will become available soon.
18. 0 1)identification of clones that express a desired trait
0 2)characterization of the active clones by sequence and
biochemical analysis .
0 3)analysis enables identification of new enzymes,
antibiotics or other reagents in libraries from diverse
environments.
0 4)all gene required for function in one clone & expression
in host cell
The function-driven analysis
19. The sequence-driven analysis
0 use of conserved DNA sequences to design hybridization
probes or PCR primers to screen metagenomic libraries for
clones that contain sequences of interest.
0 Sequencing of clones carrying phylogenetic anchors, such as
the 16S rRNA gene and the Archaeal DNA repair gene radA
has led to functional information about the organisms from
which these clones were derived.
20.
21. LIMITATIONS OF TWO APPROACHES
0 The sequence driven approach:
0 limited existing knowledge: if a metagenomic gene does not
look like a gene of known function deposited in the
databases, then little can be learned about the gene or its
product from sequence alone.
0 The function driven approach :
0 most genes from organisms in wild communities cannot be
expressed easily by a given surrogate host
Therefore, the two approaches are complementary and should
be pursued in parallel.
22. Enrichment for specialized DNA
from enviromental sample
0 One of the sustained frustrations with analysis of
metagenomic libraries is the low frequency of clones
of a desired nature. To increase the proportion of
active clones in a library, several strategies have been
designed to enrich for the sequences of interest before
cloning.
BrdU enrichment
stable-isotope probe enrichment
23.
24. METAGENOMICS AND SYMBIOSIS
0 Many microorganisms with symbiotic relationships
with their hosts are difficult to culture away from the
host are prime candidates for metagenomics.
0 E.g. the Aphid and Buchnera,
0 First example of genomics on an uncultured
microorganism.
0 lost almost 2000 genes since it entered the symbiotic
relationship 200–250 million years ago.
0 It contains only 564 genes and does not conduct many
of the life functions.
25. • The deep-sea tube worm, Riftia pachyptila,
and a bacterium.
o These creatures live in harsh environments near
thermal vents 2600m below the ocean surface.
o The tube worm provides the bacterium with carbon
dioxide, hydrogen sulfide and oxygen, which it
accumulates from the seawater.
o The bacterium, converts the carbon dioxide to amino
acids and sugars needed by the tube worm, using the
hydrogen sulfide for energy
26.
27. Environmental Shotgun Sequencing (ESS). (A) Sampling from habitat; (B)
filtering particles, typically by size; (C) Lysis and DNA extraction; (D) cloning and
library construction; (E) sequencing the clones; (F) sequence assembly into
contigs and scaffolds.
29. Application of soil metagenomics
0 soil a rich source of novel and useful biomolecules. Some examples of
application of soil metagenomics are:
0 Antibiotics and pharmaceuticals:
A clone found in a soil metagenomic library produces
deoxyviolacein and the broad spectrum antibiotic violacein.
+ nine aminoglycoside and+ tetracycline antibiotics resistance genes from soil .
0 Oxidoreductases/dehydrogenases:
Alcohol oxidoreductases are useful biocatalysts in industrial production of
hydroxy acids, amino acids and alcohols.
0 Amidases:
Amidases are used in the biosynthesis of β-lactam antibiotics .
30. 0 Polysaccharide degrading/modifying enzymes/ amylolytic genes
0 Cellulases have numerous applications and biotechnological potential
for various industries including chemicals, fuel, food, brewery and
wine, animal feed, textile and laundry,pulp and paper and agriculture.
0 Agarases, the enzymes that can liquify agar, have been identified
during the screening a soil metagenomic library.
0 Vitamin biosynthesis:
0 Soil metagenomics has been applied to the search for novel genes
encoding the synthesis of vitamins such as biotin
0 Lipolytic genes
0 esterases and lipases.
31. LIMITATIONS
0 Most genes are not identifiable
0 Contamination, chimeric clone sequences
0 Extraction problems
0 Requires proteomics
0Need a standard method for annotating
genomes
0 Requires high throughput instrumentation –
not readily available to most institutions
32. FUTURE OF METAGENOMICS
• To identify new enzymes & antibiotics
• To assess the effects of age, diet, and pathologic states (e.g.,
inflammatory bowel diseases, obesity, and cancer) on the distal gut
microbiome of humans living in different environments.
• Study of more exotic habitats
• Study antibiotic resistance in soil microbes
• Improved bioinformatics will quicken analysis for library
profiling
• Discoveries such as phylogenic tags (rRNA genes, etc)
33.
34.
35. conclusion
0 Metagenomics is a young and exciting technique that has
broad application in biology and biotechnology.
0 Although many advances in, library construction, vector
design, and screening will improve it,
0 the current technology is sufficiently powerful to yield
products for solving real world problems, including the
discovery of new antibiotics and enzymes.
0 Approaches that enrich for a portion of the microbial
community or for a collection of metagenomic clones will
enhance the power of metagenomic analysis.
Editor's Notes
If you want to study microorganisms in food samples with previous techniques, you need to use classical microbiology and other molecular techniques.
But these methods takes time, are laborious and expensive.
Moreover you have identified only a small part of the microorganisms because
- you have only the culturable bacteria
- and the number of identification is limited
With metagenomics, you identify several thousand microorganisms in one single analysis.
Moreover you also have the quantification of all microorganisms : the culturable and non culturable.
With this technique you have a clear picture of the flora inside your food sample.
This is a particular problem when the DNA is isolated from soil or other environments that contain high concentrations of contaminants that inhibit cloning. Methods to improve thepreparation of large fragments of DNA that are cleanenough to clone are being pursued vigorously in manylaboratories.
Removal of humic acids is essential before the DNA can be processed further. For this purpose, a range of DNA purification techniques has been developed.
\Specifically, soil microbial communities are composed of a mixture of archaea, bacteria and protists displaying a diversity of cell wall characteristics and varying in their susceptibility to lysis .various kits are commercially available for DNA isolation from environmental samples, many laboratories have developed their own methods with the aim of optimising extraction and reducing bias caused by unequal lysis of different members of the soil microbial community.
. DNA isolation and purification is followed by the Construction of DNA libraries in suitable cloning vectors and host strains.
E. coli is still the preferred host for the cloning and expression of any metagenome-derived genes and only very recently have other hosts such as Streptomyces lividans been employed to identify genes involved in the biosynthesis of novel antibiotics. Metagenomic libraries are also being developed in other Gram-negative hosts by several laboratories, and these will become available soon
Recovery of DNA sequences longer than a few thousand base pairs from environmental samples was very difficult until recent advances in molecular biological techniques allowed the construction of libraries in bacterial artificial chromosomes (BACs), which provided better vectors for molecular cloning.
The current metagenomic studies have largely progressed due to the construction of efficient gene cloning vectors like bacterial artificial chromosomes (BACs) or cosmids, which allow cloning and expression of larger and complex DNA segments or genes and the development of methods for generation and analysis of the data
A ‘functional-anchor approach’ involves identifying all of the clones that express a certain function and sequencing them completely to determine the diversity of genomic environments from which that function originates.
In what is arguably the most dramatic discovery from metagenomics to date, sequencing of a clone isolated from seawater that was initially identified because it carried a bacterial 16S rRNA gene revealed a gene with high similarity to bacteriorhodopsin genes.
This result provided the first indication that rhodopsins are not limited to the Archaea, as previously thought Subsequent heterologous expression of the bacteriorhodopsin gene in E. coli produced a functional biochemical characterization of the protein, completing the full spectrum of studies that link phylogeny to function .
The limitations of the approach are that it requires expression of the function of interest in the host cell and clustering of all of the genes required for the function.
It also depends on the availability of an assay for the function of interest that can be performed efficiently on vast libraries, because the frequency of active clones is quite low.
Many approaches are being developed to mitigate these limitations. Improved systems for heterologous gene expression are being developed with shuttle vectors that facilitate screening of the metagenomic DNA in diverse host species and with modifications of Escherichia coli to expand the range of gene expression.
Many
microorganisms are able to degrade waste products,
make new drugs for medical applications, produce
environmentally friendly plastics, or even make
some of the food we eat (figure 1). By isolating the
DNA from these organisms, it provides us with the
opportunity to optimize these processes and adapt
them for use by society. Another valuable
application of metagenomics is that it provides the
capacity to effectively characterize the genetic
diversity present water, soil and rumen source
samples regardless of the availability of laboratory
culturing techniques. Metagenomics is a new and
exciting field of molecular biology that is likely to
grow into a standard technique for understanding
biological diversity
Developed for characterization of metagenomic shotgun reads
LCA assignment based on BLAST bitscore
Support for paired-end reads and comparison of datasets.
Latest version can analyze RDP files / QIIME OTU files
Analysis of metabolism via SEED, KEGG or COG maps
Comparison of multiple metagenomes (> 2)
Easy to work with on a desktop / laptop computer:
Extra things needed: Java, a BLAST server
MEGAN gives a visualization of BLAST results
Study diversity
Compare samples
Contamination filtering
Special gene of interest
Extraction of sequences based on taxonomic /metabolic information.