This document provides an overview of nutrigenomics, including:
- The definition of nutrigenomics as studying the relationship between human genome, nutrition and health.
- How nutrients can interact with genes through direct interaction, epigenetic interactions, and genetic variations.
- Tools and databases used in nutrigenomics research like BioConductor and the Nutritional Phenotype database.
- Examples of how nutrigenomics research can inform plant breeding to develop crops with improved nutritional profiles through approaches like marker-assisted selection and genome editing.
The Impact of Nutrition and Environmental EpigeneticsDalia Al-Rousan
1. Nutrition and environmental exposures can impact human health and disease through epigenetic mechanisms. Maternal diet and pollution exposure during pregnancy can result in epigenetic changes in offspring that affect disease risk.
2. Endocrine disrupting chemicals and other pollutants are epigenetic toxins that can cause global and gene-specific changes to DNA methylation and histone modifications, interfering with normal development and increasing cancer risk.
3. Dietary factors like nutrients from the Mediterranean diet have been associated with reduced disease risk and positive neurodevelopmental outcomes in children through epigenetic effects.
Nutrigenomics is the study of how genetic variation affects the interaction between diet and health, with the goal of improving health through tailored diets and lifestyles. It analyzes how foods and their components influence genes, while nutrigenetics focuses on genetic variants that result in different responses to nutrients. Advances in molecular biology now enable analyzing these interactions through transcriptomics, proteomics and metabolomics. While nutrigenomic testing promises personalized nutrition, concerns remain regarding its effectiveness and implications.
Pharmacogenomics- a step to personalized medicinesApusi Chowdhury
Pharmacogenomics aims to optimize drug therapy based on a patient's genotype to maximize efficacy and minimize adverse effects. It involves studying how genetic factors influence individual responses to drugs in terms of absorption, distribution, metabolism, and excretion. Genetic polymorphisms like SNPs that occur in over 1% of the population can impact a drug's effects. Pharmacogenomic testing identifies biomarkers related to drug metabolism and targets to determine effective treatments and dosages for patients. While it holds promise for improving drug development and personalized medicine, limitations include insufficient validation and high costs.
Recombinant DNA technology allows for the isolation, alteration, and reinsertion of genes. It involves isolating DNA segments, cutting them using restriction enzymes, joining DNA segments together, and amplifying the resulting recombinant DNA. Vectors like plasmids, lambda phages, and artificial chromosomes are used to carry foreign DNA into host cells. Techniques like PCR, gel electrophoresis, cloning libraries, and nucleic acid hybridization are used in rDNA technology. Applications include producing medicines like insulin, developing pest-resistant crops, and gene therapy to treat genetic diseases.
Polymorphism affecting drug metabolismDeepak Kumar
Genetic polymorphisms can affect how individuals metabolize and respond to drugs. Variations in genes encoding drug-metabolizing enzymes like CYP450 isoforms can result in poor, intermediate, extensive, or ultra-rapid metabolizer phenotypes. This impacts how effectively an individual metabolizes and eliminates drugs from the body. The effects of inhibitors and inducers on drug metabolism also differ depending on a person's metabolizer phenotype. Understanding these genetic factors is important for predicting drug responses and interactions between a drug and other substances in an individual.
Overview of epigenetics and its role in diseaseGarry D. Lasaga
Epigenetics is the study of heritable changes in gene expression (active versus inactive genes) that do not involve changes to the underlying DNA sequence — a change in phenotype without a change in genotype — which in turn affects how cells read the genes.
Genomics and proteomics in drug discovery and developmentSuchittaU
This document discusses the role of genomics and proteomics in drug discovery and development. It explains that genomics and proteomics technologies can help identify new drug targets by comparing gene and protein expression between healthy and diseased cells. Proteomics in particular analyzes changes in protein levels and can quantify individual proteins using techniques like 2D gel electrophoresis and mass spectrometry. The integration of genomics and proteomics provides a more comprehensive understanding of biological systems and is improving the drug discovery process.
The Impact of Nutrition and Environmental EpigeneticsDalia Al-Rousan
1. Nutrition and environmental exposures can impact human health and disease through epigenetic mechanisms. Maternal diet and pollution exposure during pregnancy can result in epigenetic changes in offspring that affect disease risk.
2. Endocrine disrupting chemicals and other pollutants are epigenetic toxins that can cause global and gene-specific changes to DNA methylation and histone modifications, interfering with normal development and increasing cancer risk.
3. Dietary factors like nutrients from the Mediterranean diet have been associated with reduced disease risk and positive neurodevelopmental outcomes in children through epigenetic effects.
Nutrigenomics is the study of how genetic variation affects the interaction between diet and health, with the goal of improving health through tailored diets and lifestyles. It analyzes how foods and their components influence genes, while nutrigenetics focuses on genetic variants that result in different responses to nutrients. Advances in molecular biology now enable analyzing these interactions through transcriptomics, proteomics and metabolomics. While nutrigenomic testing promises personalized nutrition, concerns remain regarding its effectiveness and implications.
Pharmacogenomics- a step to personalized medicinesApusi Chowdhury
Pharmacogenomics aims to optimize drug therapy based on a patient's genotype to maximize efficacy and minimize adverse effects. It involves studying how genetic factors influence individual responses to drugs in terms of absorption, distribution, metabolism, and excretion. Genetic polymorphisms like SNPs that occur in over 1% of the population can impact a drug's effects. Pharmacogenomic testing identifies biomarkers related to drug metabolism and targets to determine effective treatments and dosages for patients. While it holds promise for improving drug development and personalized medicine, limitations include insufficient validation and high costs.
Recombinant DNA technology allows for the isolation, alteration, and reinsertion of genes. It involves isolating DNA segments, cutting them using restriction enzymes, joining DNA segments together, and amplifying the resulting recombinant DNA. Vectors like plasmids, lambda phages, and artificial chromosomes are used to carry foreign DNA into host cells. Techniques like PCR, gel electrophoresis, cloning libraries, and nucleic acid hybridization are used in rDNA technology. Applications include producing medicines like insulin, developing pest-resistant crops, and gene therapy to treat genetic diseases.
Polymorphism affecting drug metabolismDeepak Kumar
Genetic polymorphisms can affect how individuals metabolize and respond to drugs. Variations in genes encoding drug-metabolizing enzymes like CYP450 isoforms can result in poor, intermediate, extensive, or ultra-rapid metabolizer phenotypes. This impacts how effectively an individual metabolizes and eliminates drugs from the body. The effects of inhibitors and inducers on drug metabolism also differ depending on a person's metabolizer phenotype. Understanding these genetic factors is important for predicting drug responses and interactions between a drug and other substances in an individual.
Overview of epigenetics and its role in diseaseGarry D. Lasaga
Epigenetics is the study of heritable changes in gene expression (active versus inactive genes) that do not involve changes to the underlying DNA sequence — a change in phenotype without a change in genotype — which in turn affects how cells read the genes.
Genomics and proteomics in drug discovery and developmentSuchittaU
This document discusses the role of genomics and proteomics in drug discovery and development. It explains that genomics and proteomics technologies can help identify new drug targets by comparing gene and protein expression between healthy and diseased cells. Proteomics in particular analyzes changes in protein levels and can quantify individual proteins using techniques like 2D gel electrophoresis and mass spectrometry. The integration of genomics and proteomics provides a more comprehensive understanding of biological systems and is improving the drug discovery process.
This document discusses RNA interference (RNAi) mediated gene silencing in plants. It describes how small interfering RNAs (siRNAs) and microRNAs (miRNAs) are central to RNAi and can direct the degradation of messenger RNA (mRNA) to decrease gene expression. The document outlines the key stages of the RNAi mechanism and roles of proteins involved like Dicer and RISC complexes. It provides examples of how RNAi has been used to increase crop traits like shelf life, virus resistance, and fruit development.
pharmacogenomics is a new drug discovry approach. It is the study of how genes affect a person's response to drugs, combining pharmacology and genomics
Genetic polymorphism and It's Applicationsawaismalik78
Genetic polymorphism
Genetic polymorphism is the inheritance of a trait controlled by a single genetic locus with two alleles, in which the least common allele has a frequency of about 1% or greater. Genetic polymorphism is a difference in DNA sequence among individuals, groups, or populations.
Types of polymorphisms
Protein/enzyme polymorphisms
In the early days of human genetics, majority of polymorphisms were those associated with proteins and enzymes. To detect the polymorphism and a person’s genotype, one performed assays for the gene product, i.e., the protein or enzyme produced by the genetic blueprint.
DNA polymorphisms
The large class of polymorphisms are those that detect Slight variations at the level of DNA nucleotides.
Single nucleotide polymorphisms
A single nucleotide polymorphism or SNP is a sequence of DNA on which humans vary by one and only one nucleotide . Because humans differ by one nucleotide per every thousand or so nucleotides, there are millions of SNPs scattered throughout the human genome.
Tandem repeat polymorphisms
A tandem repeat polymorphism consists of a series of nucleotides that are repeated in tandem (i.e., one time after another). The polymorphism consists of the number of repeats.
Restriction Fragment Length Polymorphism (RFLP)
Restriction Fragment Length Polymorphism (RFLP) is a type in which organisms may be differentiated by analysis of patterns derived from cleavage of their DNA. If two organisms differ in the distance between sites of cleavage of a particular restriction endonuclease, the length of the fragments produced will differ when the DNA is digested with a restriction enzyme.
Applications of Genetic Polymorphism
The study of polymorphism has many uses in medicine, biological research, and law enforcement. Genetic diseases may be caused by a specific polymorphism. Scientists can look for these polymorphisms to determine if a person will develop the disease, or risks passing it on to his or her children.
Short intro epigenetics & nutrigenomics& the early impact of nutrition Norwich Research Park
Our “genes” are not fixed: “Plasticity” of the genotype by epigenetic mechanisms => important for the phenotypic impact of nutrition.
• Histone and DNA modifications have impact on gene transcription efficiency. Methylation (more stable) and acetylation (more flexible) have impact on chromatin
structures.
• Epigenetic modifications have impact on offspring, embryo development, ageing and disease development or prevention => example: Dutch Hunger Winter.
Health status of future parents are very important for the future health of children.
Early healthy nutrition & lifestyle essential for successful healthy life & “ageing”.
This document provides an overview of analytical proteomics and its applications. It defines the proteome and proteomics, and discusses the difference between protein biochemistry and proteomics. It describes the key steps in analytical proteomics: protein separation techniques like 1D/2D gel electrophoresis and isoelectric focusing; protein digestion using proteases like trypsin; and protein identification via mass spectrometry. Finally, it outlines some applications of proteomics like comparing proteomes under different conditions to study biological processes.
This document summarizes a seminar on genomics presented by Komal Rajgire. It defines genomics as the study of all genes in an organism, including their mapping, sequencing, and functional analysis. The key differences between genetics and genomics are outlined. The document discusses approaches in functional genomics like homology searching and expression analysis. It also covers related fields like structural genomics, epigenomics, metagenomics, pharmacogenomics, and the applications and future impact of genomics on medicine, drug discovery, and personalized treatment.
Knockout mice are mice that have had a specific gene deactivated or mutated through genetic engineering techniques. This document discusses knockout mice and how they are used to study gene function. It describes how knockout mice are made using embryonic stem cells and either gene targeting or gene trapping methods to swap out or disrupt an existing gene. The resulting mice provide information on the roles and impacts of genes in ways that help researchers study human diseases.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
This document discusses recombinant protein expression in different host cell systems. It begins by outlining strategies for engineering host cells to efficiently produce proteins, including optimizing transcription, translation, and protein stability. It then compares various host cell expression systems, such as bacteria, yeast, insect and mammalian cells, considering factors like post-translational modification abilities and production costs. Specific systems are covered in more detail, like using the pET and pBAD vectors to control protein expression in bacteria. The document concludes by discussing eukaryotic cell expression and challenges producing complex eukaryotic proteins in prokaryotic systems due to lack of post-translational modifications.
The document discusses codon optimization, which is a process that improves gene expression and increases translational efficiency of a gene of interest. It does this by accounting for the codon bias of the host organism. Codons are three nucleotide sequences in RNA that specify which amino acid is needed for protein synthesis. The document also lists some common codon optimization tools like Twistbioscience, Idtdna, and Genscript.
This document provides an overview of pharmacogenetics and discusses:
1. Pharmacogenetics is the study of how genetic factors influence individual responses to drugs. It considers both environmental and genetic factors that impact drug metabolism and effects.
2. Key concepts include how genetic polymorphisms affect drug metabolizing enzymes and transporters, leading to variability in drug efficacy and risk of adverse reactions between individuals.
3. The field has progressed from early discoveries of genetic disorders affecting drug response to now understanding the effects of common gene variants, with the goal of personalized medicine to optimize drug therapy for each patient.
Proteomics is the study of proteins, including their composition, structure, function and interactions. There are two main types: interaction proteomics which identifies protein-protein interactions and complexes; and expression proteomics which quantifies protein levels. Proteomics has applications in new drug discovery by identifying proteins involved in diseases and developing drugs that target those proteins. Genomics studies genomes and their structure, function and evolution. It has applications in molecular medicine, disease susceptibility, forensics and agriculture. Metabolomics studies small molecule metabolites within cells, tissues and organisms and their interactions. It has applications in pharmacology, toxicology and clinical chemistry. Nutrigenomics studies the effects of food on gene expression and identifies genes involved in physiological
The document discusses protein-protein interactions (PPIs), including an introduction to PPIs, the types of interactions, techniques used to study them like X-ray crystallography, NMR spectroscopy and cryo-electron microscopy, and factors that affect PPIs. It also covers methods to investigate PPIs such as affinity purification coupled with mass spectrometry and yeast two-hybrid screening. Applications of understanding PPIs include developing therapeutic drugs and identifying functions of unknown proteins.
This document summarizes the process of gene expression in three main steps: transcription, post-transcriptional modification, and translation. It first defines a gene as a stretch of DNA that encodes information. During transcription, RNA polymerase produces messenger RNA from DNA. The mRNA then undergoes post-transcriptional modification like capping, splicing, and polyadenylation. The mature mRNA is transported to the cytoplasm for translation by ribosomes into proteins. Additional post-translational modifications can occur to proteins after translation. Gene expression is regulated at multiple levels including transcription, RNA processing, translation and protein degradation.
Two-dimensional gel electrophoresis (2-D electrophoresis) is a powerful technique used to separate complex protein mixtures according to their isoelectric point and molecular weight. The first dimension separates proteins by isoelectric focusing according to pH, while the second dimension separates by molecular size using SDS-PAGE. This allows thousands of proteins to be resolved from samples. After electrophoresis, proteins are visualized through staining to compare expression levels between samples. Analysis software can then quantify and identify differentially expressed proteins, aiding in proteomics research.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their body's response to drugs. It involves studying the genetic basis for variability in drug efficacy and toxicity. The goal is to develop personalized medicine by understanding how genetic factors influence an individual's ability to metabolize and respond to drugs. Key factors that can vary between individuals include drug metabolizing enzymes, drug transporters, and drug targets. Genetic variations in these factors are associated with differences in drug efficacy or risk of adverse effects. Pharmacogenomic testing helps identify genetic polymorphisms that can predict drug response and dosing requirements.
Antisense technology uses short DNA sequences called oligonucleotides that are complementary to messenger RNA (mRNA) to prevent specific proteins from being synthesized. When introduced into cells, these antisense oligonucleotides bind to their target mRNA through Watson-Crick base pairing, forming RNA-DNA hybrids that are degraded by RNase H enzyme. This prevents translation and expression of the target protein. There are three generations of antisense oligonucleotides that have been developed with improved stability and targeting capabilities, including phosphorothioate, 2'-O-methyl RNA, and locked nucleic acid chemistries. Antisense technology has potential applications in treating diseases like cancer, viral infections, and genetic disorders.
This document provides an overview of nutrigenomics. It begins with basic definitions and concepts in genetics and genomics such as the genome, chromosomes, genes, and the Human Genome Project. It then discusses how nutrigenomics studies the relationship between nutrition, genes, and health. Key aspects covered include nutrigenetics, which examines how genetics influence nutrient metabolism, and nutrigenomics, which looks at how nutrients affect gene expression. Examples are given of nutrigenetic factors like MTHFR polymorphisms and diseases like sickle cell anemia. Methods used in nutrigenomics and its applications in functional foods, personalized diets, and chronic diseases are summarized. The document concludes by discussing nutrigenomic
Nutrigenomics is the study of how foods and their components affect gene expression. It explores how an individual's genetic makeup influences their nutritional requirements and response to foods. Single nucleotide polymorphisms, which are small genetic differences between individuals, can change how one metabolizes and responds to diet, and influence disease risk patterns. Understanding nutrigenomics may help prevent diseases by developing personalized diets and promoting healthy lifestyle choices based on one's genetics.
This document discusses RNA interference (RNAi) mediated gene silencing in plants. It describes how small interfering RNAs (siRNAs) and microRNAs (miRNAs) are central to RNAi and can direct the degradation of messenger RNA (mRNA) to decrease gene expression. The document outlines the key stages of the RNAi mechanism and roles of proteins involved like Dicer and RISC complexes. It provides examples of how RNAi has been used to increase crop traits like shelf life, virus resistance, and fruit development.
pharmacogenomics is a new drug discovry approach. It is the study of how genes affect a person's response to drugs, combining pharmacology and genomics
Genetic polymorphism and It's Applicationsawaismalik78
Genetic polymorphism
Genetic polymorphism is the inheritance of a trait controlled by a single genetic locus with two alleles, in which the least common allele has a frequency of about 1% or greater. Genetic polymorphism is a difference in DNA sequence among individuals, groups, or populations.
Types of polymorphisms
Protein/enzyme polymorphisms
In the early days of human genetics, majority of polymorphisms were those associated with proteins and enzymes. To detect the polymorphism and a person’s genotype, one performed assays for the gene product, i.e., the protein or enzyme produced by the genetic blueprint.
DNA polymorphisms
The large class of polymorphisms are those that detect Slight variations at the level of DNA nucleotides.
Single nucleotide polymorphisms
A single nucleotide polymorphism or SNP is a sequence of DNA on which humans vary by one and only one nucleotide . Because humans differ by one nucleotide per every thousand or so nucleotides, there are millions of SNPs scattered throughout the human genome.
Tandem repeat polymorphisms
A tandem repeat polymorphism consists of a series of nucleotides that are repeated in tandem (i.e., one time after another). The polymorphism consists of the number of repeats.
Restriction Fragment Length Polymorphism (RFLP)
Restriction Fragment Length Polymorphism (RFLP) is a type in which organisms may be differentiated by analysis of patterns derived from cleavage of their DNA. If two organisms differ in the distance between sites of cleavage of a particular restriction endonuclease, the length of the fragments produced will differ when the DNA is digested with a restriction enzyme.
Applications of Genetic Polymorphism
The study of polymorphism has many uses in medicine, biological research, and law enforcement. Genetic diseases may be caused by a specific polymorphism. Scientists can look for these polymorphisms to determine if a person will develop the disease, or risks passing it on to his or her children.
Short intro epigenetics & nutrigenomics& the early impact of nutrition Norwich Research Park
Our “genes” are not fixed: “Plasticity” of the genotype by epigenetic mechanisms => important for the phenotypic impact of nutrition.
• Histone and DNA modifications have impact on gene transcription efficiency. Methylation (more stable) and acetylation (more flexible) have impact on chromatin
structures.
• Epigenetic modifications have impact on offspring, embryo development, ageing and disease development or prevention => example: Dutch Hunger Winter.
Health status of future parents are very important for the future health of children.
Early healthy nutrition & lifestyle essential for successful healthy life & “ageing”.
This document provides an overview of analytical proteomics and its applications. It defines the proteome and proteomics, and discusses the difference between protein biochemistry and proteomics. It describes the key steps in analytical proteomics: protein separation techniques like 1D/2D gel electrophoresis and isoelectric focusing; protein digestion using proteases like trypsin; and protein identification via mass spectrometry. Finally, it outlines some applications of proteomics like comparing proteomes under different conditions to study biological processes.
This document summarizes a seminar on genomics presented by Komal Rajgire. It defines genomics as the study of all genes in an organism, including their mapping, sequencing, and functional analysis. The key differences between genetics and genomics are outlined. The document discusses approaches in functional genomics like homology searching and expression analysis. It also covers related fields like structural genomics, epigenomics, metagenomics, pharmacogenomics, and the applications and future impact of genomics on medicine, drug discovery, and personalized treatment.
Knockout mice are mice that have had a specific gene deactivated or mutated through genetic engineering techniques. This document discusses knockout mice and how they are used to study gene function. It describes how knockout mice are made using embryonic stem cells and either gene targeting or gene trapping methods to swap out or disrupt an existing gene. The resulting mice provide information on the roles and impacts of genes in ways that help researchers study human diseases.
Personalized medicine involves the prescription of specific therapeutics best suited for an individual based on their genetic or proteomic profile. This talk discusses current approaches in drug discovery/development, the role of genetics in drug metabolism, and lawful/ethical issues surrounding the deployment of new health technology. I highlight some bioinformatic roles in the drug discovery process, and discuss the use of semantic web technologies for data integration and knowledge discovery..
This document discusses recombinant protein expression in different host cell systems. It begins by outlining strategies for engineering host cells to efficiently produce proteins, including optimizing transcription, translation, and protein stability. It then compares various host cell expression systems, such as bacteria, yeast, insect and mammalian cells, considering factors like post-translational modification abilities and production costs. Specific systems are covered in more detail, like using the pET and pBAD vectors to control protein expression in bacteria. The document concludes by discussing eukaryotic cell expression and challenges producing complex eukaryotic proteins in prokaryotic systems due to lack of post-translational modifications.
The document discusses codon optimization, which is a process that improves gene expression and increases translational efficiency of a gene of interest. It does this by accounting for the codon bias of the host organism. Codons are three nucleotide sequences in RNA that specify which amino acid is needed for protein synthesis. The document also lists some common codon optimization tools like Twistbioscience, Idtdna, and Genscript.
This document provides an overview of pharmacogenetics and discusses:
1. Pharmacogenetics is the study of how genetic factors influence individual responses to drugs. It considers both environmental and genetic factors that impact drug metabolism and effects.
2. Key concepts include how genetic polymorphisms affect drug metabolizing enzymes and transporters, leading to variability in drug efficacy and risk of adverse reactions between individuals.
3. The field has progressed from early discoveries of genetic disorders affecting drug response to now understanding the effects of common gene variants, with the goal of personalized medicine to optimize drug therapy for each patient.
Proteomics is the study of proteins, including their composition, structure, function and interactions. There are two main types: interaction proteomics which identifies protein-protein interactions and complexes; and expression proteomics which quantifies protein levels. Proteomics has applications in new drug discovery by identifying proteins involved in diseases and developing drugs that target those proteins. Genomics studies genomes and their structure, function and evolution. It has applications in molecular medicine, disease susceptibility, forensics and agriculture. Metabolomics studies small molecule metabolites within cells, tissues and organisms and their interactions. It has applications in pharmacology, toxicology and clinical chemistry. Nutrigenomics studies the effects of food on gene expression and identifies genes involved in physiological
The document discusses protein-protein interactions (PPIs), including an introduction to PPIs, the types of interactions, techniques used to study them like X-ray crystallography, NMR spectroscopy and cryo-electron microscopy, and factors that affect PPIs. It also covers methods to investigate PPIs such as affinity purification coupled with mass spectrometry and yeast two-hybrid screening. Applications of understanding PPIs include developing therapeutic drugs and identifying functions of unknown proteins.
This document summarizes the process of gene expression in three main steps: transcription, post-transcriptional modification, and translation. It first defines a gene as a stretch of DNA that encodes information. During transcription, RNA polymerase produces messenger RNA from DNA. The mRNA then undergoes post-transcriptional modification like capping, splicing, and polyadenylation. The mature mRNA is transported to the cytoplasm for translation by ribosomes into proteins. Additional post-translational modifications can occur to proteins after translation. Gene expression is regulated at multiple levels including transcription, RNA processing, translation and protein degradation.
Two-dimensional gel electrophoresis (2-D electrophoresis) is a powerful technique used to separate complex protein mixtures according to their isoelectric point and molecular weight. The first dimension separates proteins by isoelectric focusing according to pH, while the second dimension separates by molecular size using SDS-PAGE. This allows thousands of proteins to be resolved from samples. After electrophoresis, proteins are visualized through staining to compare expression levels between samples. Analysis software can then quantify and identify differentially expressed proteins, aiding in proteomics research.
Pharmacogenomics is the study of how an individual's genetic inheritance affects their body's response to drugs. It involves studying the genetic basis for variability in drug efficacy and toxicity. The goal is to develop personalized medicine by understanding how genetic factors influence an individual's ability to metabolize and respond to drugs. Key factors that can vary between individuals include drug metabolizing enzymes, drug transporters, and drug targets. Genetic variations in these factors are associated with differences in drug efficacy or risk of adverse effects. Pharmacogenomic testing helps identify genetic polymorphisms that can predict drug response and dosing requirements.
Antisense technology uses short DNA sequences called oligonucleotides that are complementary to messenger RNA (mRNA) to prevent specific proteins from being synthesized. When introduced into cells, these antisense oligonucleotides bind to their target mRNA through Watson-Crick base pairing, forming RNA-DNA hybrids that are degraded by RNase H enzyme. This prevents translation and expression of the target protein. There are three generations of antisense oligonucleotides that have been developed with improved stability and targeting capabilities, including phosphorothioate, 2'-O-methyl RNA, and locked nucleic acid chemistries. Antisense technology has potential applications in treating diseases like cancer, viral infections, and genetic disorders.
This document provides an overview of nutrigenomics. It begins with basic definitions and concepts in genetics and genomics such as the genome, chromosomes, genes, and the Human Genome Project. It then discusses how nutrigenomics studies the relationship between nutrition, genes, and health. Key aspects covered include nutrigenetics, which examines how genetics influence nutrient metabolism, and nutrigenomics, which looks at how nutrients affect gene expression. Examples are given of nutrigenetic factors like MTHFR polymorphisms and diseases like sickle cell anemia. Methods used in nutrigenomics and its applications in functional foods, personalized diets, and chronic diseases are summarized. The document concludes by discussing nutrigenomic
Nutrigenomics is the study of how foods and their components affect gene expression. It explores how an individual's genetic makeup influences their nutritional requirements and response to foods. Single nucleotide polymorphisms, which are small genetic differences between individuals, can change how one metabolizes and responds to diet, and influence disease risk patterns. Understanding nutrigenomics may help prevent diseases by developing personalized diets and promoting healthy lifestyle choices based on one's genetics.
This document discusses nutrigenomics, which is the study of how genes are affected by nutrients and dietary components. It covers how individual genetic variations influence nutrient metabolism and disease risk, with the goal of developing personalized diets. Key applications of nutrigenomics discussed include cardiovascular disease, bone health, diabetes, Alzheimer's, and cancer. Advances in high-throughput omics technologies and bioinformatics are enabling more comprehensive analysis of gene-diet interactions.
Nutrigenomics is the study of how nutrients and other food components influence gene expression. It seeks to understand how nutrition impacts homeostasis at the cellular and genetic levels. The main concepts are that specific diets can modulate health and disease by affecting gene expression, an individual's genetic makeup influences their response to diet and disease risk, and personalized diets based on genetics may lower risk. Nutrigenomics examines how nutrients directly or indirectly regulate genes and how genetic variations impact nutrient metabolism and disease. It studies relationships between diet, genes and chronic diseases like obesity, diabetes, cancer and cardiovascular disease.
Nutrigenomics attempts to study how nutrition influences gene expression and metabolic pathways. It examines the dietary signatures - patterns of gene, protein, and metabolite expression - produced in cells and tissues in response to specific nutrients. Nutrigenomics seeks to understand how these signatures impact homeostasis and may help identify early biomarkers for conditions like insulin resistance. It takes a holistic approach using omics technologies like transcriptomics, proteomics, and metabolomics. Nutrigenomics also examines how genetics and environment interact to influence nutritional needs and responses.
The document discusses nutrigenomics and nutrigenetics. It begins with important terms related to omics fields like genomics, nutrigenomics, and epigenetics. It then provides a basic understanding of nutrigenomics and nutrigenetics, including how genetic diversity and environmental factors affect nutrient metabolism and health outcomes. The goals of nutrigenomics are discussed, including customizing nutrition based on an individual's genetics. Experimental approaches like genomics, transcriptomics and metabolomics are used to study these fields. Examples are provided on how nutrigenomics has clarified roles of specific dietary factors and potential applications in disease prevention.
Nutrigenomics is the study of how nutrients and other food components influence gene expression and health. It considers how an individual's genetic makeup influences their response to different diets. The main concepts are that specific diets can modulate health by influencing gene expression, genetic factors affect disease risk, and personalized diets based on genetics may lower risk. Improper diets are linked to disease risk, while certain foods and chemicals can alter gene expression or genome structure. An individual's response depends on their genetic profile, like single nucleotide polymorphisms. Nutrigenomics studies seek to develop personalized diets to prevent diseases based on genetic risk factors.
This document provides an introduction to nutrigenomics and its applications. It discusses how nutrigenomics is the study of how dietary components interact with genes and alter gene expression. There are different types of food-gene interactions, including direct interactions where nutrients directly bind to receptors and regulate genes, and epigenetic interactions where nutrients can alter DNA structure and chronically change gene expression. Nutrigenomics helps understand how an individual's genetic makeup can influence their susceptibility to diet-related diseases and how personalized diets based on genetics can be used for disease prevention and treatment. The document outlines several examples of how nutrigenomics provides insights into cardiovascular, cancer, obesity and hypertension by studying genetic factors and their interaction with diet.
1. Nutrigenomics is the study of how nutrients and other food components influence gene expression and health. It seeks to understand how an individual's genetic makeup determines their response to different diets.
2. Specific dietary components can modulate the balance between health and disease by directly or indirectly impacting gene expression. An individual's genetic profile, including polymorphisms in nutrient-regulated genes, affects their risk of diseases.
3. Personalized diets tailored to one's genotype may help lower disease risk in genetically predisposed groups by accounting for how genetics influence the body's response to different nutrients.
Nutrigenomics is the study of how nutrients and other food components interact with an individual's genome to affect gene expression. It examines how diet influences cellular processes and looks at individual variability in responses to foods based on genetic makeup. The main concepts are that specific diets can modulate health and disease by impacting gene expression, genetic polymorphisms influence disease risk and diet response, and personalized diets may help reduce risk for genetically predisposed individuals. Key applications of nutrigenomics include understanding how diet relates to obesity, type 2 diabetes, cardiovascular disease, cancer, and other chronic health conditions by studying gene-diet interactions and genetic variations.
- Maternal nutrition and environmental exposures during pregnancy can impact the fetal epigenome through DNA methylation, histone modifications, and microRNAs. This may increase disease risk later in life.
- Certain phytochemicals from foods like epigallocatechin gallate, resveratrol, genistein, and curcumin have been shown to modulate the epigenome through effects on enzymes involved in DNA methylation and histone modification.
- A variety of dietary phytochemicals from foods commonly consumed during pregnancy may be able to cross the placenta and influence the fetal epigenome, potentially providing protection against disease programming. Further research is still needed.
- Maternal nutrition and environmental exposures during pregnancy can impact the fetal epigenome through DNA methylation, histone modifications, and microRNAs. This can increase the risk of health issues like metabolic syndrome later in life.
- Certain phytochemicals from foods like epigallocatechin gallate, resveratrol, genistein, and curcumin may beneficially influence the fetal epigenome by regulating enzymes involved in epigenetic modifications.
- Adequate intake of nutrients like vitamins, minerals, and phytochemicals during pregnancy and lactation may help protect the offspring by modulating the fetal epigenome.
Nutrigenomics is the study of how nutrients and bioactive food components influence gene expression and how genetic variations affect individual responses to specific foods or nutrients. It seeks to understand how diet influences health and disease risk based on a person's genetic makeup. Key concepts include that specific diets can modulate health by influencing gene expression, genetic polymorphisms affect disease risk and response to diet, and personalized diets based on genetics may lower disease risk. Nutrigenomics research is providing insights into relationships between nutrition, genes, and chronic diseases like obesity, cardiovascular disease, and cancer.
This document discusses nutrigenomics, an emerging field that examines the relationship between nutrients and the human genome using modern "omics" technologies like transcriptomics, metabolomics, epigenomics, and proteomics. It provides an overview of nutrigenomics and related fields like nutrigenetics, describes some of the experimental approaches and technologies used in nutrigenomics research, and gives examples of specific research findings like how coffee and cigarettes may help combat rare liver diseases.
The document discusses how maternal nutrition and environmental exposures during pregnancy can induce epigenetic changes in the developing fetus. It describes the main epigenetic mechanisms of DNA methylation, histone modifications, and small interfering RNAs. It also discusses how various phytochemicals and bioactive compounds found in plants may act as epigenetic modulators and influence gene expression through these epigenetic pathways.
Nutrigenomics is the science that examines the response of individuals to food compounds using post-genomic and related technologies (e.g. genomics, transcriptomics, proteomics, metabol/nomic etc.). The long-term aim of nutrigenomics is to understand how the whole body responds to real foods using an integrated approach termed 'systems biology'. The huge advantage in this approach is that the studies can examine people (i.e. populations, sub-populations - based on genes or disease - and individuals), food, life-stage and life-style without preconceived ideas.
the new emerging field of science that is nutrigenomics can deal with the issues of health and improve out health with the simple tools by understanding the risk and the baic genome of a person
The study of how genes and gene products interact with dietary chemicals to alter phenotype and, conversely, how genes and their products metabolize nutrients is called nutritional genomics or “Nutrigenomics”.
This document discusses nutrigenomics, which is the study of how nutrients and bioactive compounds in food affect gene expression. It provides examples of how different nutrients like carbohydrates, fat, protein, minerals and vitamins can regulate gene expression. Key techniques in nutrigenomics like transcriptomics, proteomics and metabolomics are also summarized. The document outlines several potential applications of nutrigenomics like developing customized feeds tailored to an animal's genotype, selecting nutrients to fine-tune gene activity, and gaining insights into performance and disease.
The document discusses the significance of the gut microbiome and potential roles of probiotics. It notes that the gut microbiome contains trillions of microbes and plays an important role in health, immunity, and metabolism. Factors like diet, lifestyle, antibiotics, and other medications can disrupt the normal gut microbiome and lead to dysbiosis, which has been linked to various conditions. Probiotics may help maintain a balanced gut microbiome and mitigate disruption through interactions with the immune system and production of metabolites. Future research could further explore probiotics and manipulation of gut flora to treat certain diseases.
Similar to Nutrigenomics: The Genome food interface (20)
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)”
Comparing Evolved Extractive Text Summary Scores of Bidirectional Encoder Rep...University of Maribor
Slides from:
11th International Conference on Electrical, Electronics and Computer Engineering (IcETRAN), Niš, 3-6 June 2024
Track: Artificial Intelligence
https://www.etran.rs/2024/en/home-english/
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.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Or: Beyond linear.
Abstract: Equivariant neural networks are neural networks that incorporate symmetries. The nonlinear activation functions in these networks result in interesting nonlinear equivariant maps between simple representations, and motivate the key player of this talk: piecewise linear representation theory.
Disclaimer: No one is perfect, so please mind that there might be mistakes and typos.
dtubbenhauer@gmail.com
Corrected slides: dtubbenhauer.com/talks.html
ANAMOLOUS SECONDARY GROWTH IN DICOT ROOTS.pptxRASHMI M G
Abnormal or anomalous secondary growth in plants. It defines secondary growth as an increase in plant girth due to vascular cambium or cork cambium. Anomalous secondary growth does not follow the normal pattern of a single vascular cambium producing xylem internally and phloem externally.
What is greenhouse gasses and how many gasses are there to affect the Earth.moosaasad1975
What are greenhouse gasses how they affect the earth and its environment what is the future of the environment and earth how the weather and the climate effects.
Nucleophilic Addition of carbonyl compounds.pptxSSR02
Nucleophilic addition is the most important reaction of carbonyls. Not just aldehydes and ketones, but also carboxylic acid derivatives in general.
Carbonyls undergo addition reactions with a large range of nucleophiles.
Comparing the relative basicity of the nucleophile and the product is extremely helpful in determining how reversible the addition reaction is. Reactions with Grignards and hydrides are irreversible. Reactions with weak bases like halides and carboxylates generally don’t happen.
Electronic effects (inductive effects, electron donation) have a large impact on reactivity.
Large groups adjacent to the carbonyl will slow the rate of reaction.
Neutral nucleophiles can also add to carbonyls, although their additions are generally slower and more reversible. Acid catalysis is sometimes employed to increase the rate of addition.
5. • INTRODUCTION
• HISTORY
• WHY NUTRIGENOMICS?
• NUTRIENT- GENE INTERACTIONS
• TOOLS AND DATABASES IN NUTRIGENOMICS
• NUTRIGENOMICS AND PLANT BREEDING
• BREEDING APPROACHES
• SUPPORTIVE EVIDENCES
• CONCLUSION
5
6. • The science studying the relationship between human genome, nutrition
and health- Nutritional genomics.
• It is on the basis of 5 principles:
1. Dietary chemicals act upon human genome
2. Diet can be a serious risk factor
3. Role of diet-regulated genes on chronic diseases
4. Individuals genetic background
5. Personalized nutrition 6
Farhud et al. (2010)
8. This new science seeks to understand the influence of dietary components on the
Genome, Transcriptome, Proteome, and Metabolome.
8
Sales et al. (2014)
9. HISTORICAL BACKGROUND OF NUTRIGENOMICS
• 400 BC- Hippocrates- “let food be thy medicine and medicine be thy food.”
• Around 1700AD, Lavoisier discovered how food was metabolized by the body,
generating water, carbon dioxide, and energy.
• 1902- A. E. Garrod- Inborn errors of metabolism
• 1962- Dr J. A. Roper from the University of Glasgow -“Genetic determination of
nutritional requirements” based on studies conducted in microbes.
• Human Genome Project - launched in 1990
• First map of Human Genome -26 June 2000
9
10. WHY NUTRIGENOMICS??!!
• Low medicinal efficacy of drug treatments.
• Only about three in 10 people benefit from a drug treatment
(Steven Zeisel of the University of North Carolina).
• Nutrigenomics give the medical and food industries the
information necessary to create personalized foods and
supplements based on our genes.
10
11. BIOMARKERS
• A biomarker is a measurable indicator of the severity or presence of some disease.
• Primarily concerned with the molecular signatures related to pathways of metabolism.
• Used for early diagnosis as well as to the design of personalised diets
• Features:(a) Linked to a pathological or disease condition;
(b) Easily measurable (e.g. by plasma or urine samples)
(c) Modifiable by nutrient intake.
• Examples: 1. Proline, betaine and its biotransformation products in urine samples - bio
markers of habitual citrus fruit consumption.
2. Dis-regulated insulin expression and elevated levels of blood glucose-
biomarkers for diabetes.
11
12. How Does Nutrients Interact With Genes?
•Effects on Genomic Stability
•Effects on Gene Expression
12
13. Effects of Nutrients on Genomic Stability
•“Genome health”- determined by a steady supply of specific nutrients
Several micronutrients acts as cofactors, as a part of the structure of proteins
Involved in DNA synthesis, repair and prevention of oxidative damage to
DNA
Genome damage by moderate micronutrient deficiency is similar to chemical
carcinogens, UV radiation and ionising radiation.
• Eg: Chromosomal damage was seen in cultured human lymphocytes which
was caused by reduced folate concentration.
Source: Fenech, 2005
13
15. •Folate - Critical to genomic stability.
•Folate intake greater than 200 μg/day is required for
chromosomal stability (Fenech & Ferguson, 2001)
•Genome instability, in the absence of over exposure to
genotoxicants, is a sensitive marker of nutritional
deficiency.
•DNA damage is accelerated by oxidative stressors
such as polluted air, tobacco smoke, and a high-fat
diet.
15
18. Fig: Possible mechanisms by which folate deficiency or excess may influence telomere
structure and function
18
19. • Results:
Folate and vitamin B12 may delay aging by preventing the reduction in
relative telomere length (rTL) length and mitochondrial copy number (mtCN).
19
20. NUTRIENTS ALTERATIONS DEFICIENT DIET-DISEASE
POTENTIAL
Folic acid (Vitamin B9) Chromosome break and hampers
DNA repair/methylation
Cancer, heart disease, brain
dysfunction, male fertility,
leukemia
Cobalamin (Vitamin B12)
Pyridoxine (Vitamin B6)
Chromosome break and hampers
DNA repair/methylation
Same as folic acid, memory
loss
Niacin (Vitamin B3) Hampers DNA repair Nerve problem, memory loss
Tocopherols (Vitamin E) Mimics radiation damage Colon cancer, heart disease,
immune dysfunction
Calciferol (Vitamin D) Prevent gene variation Colon, breast, prostatic cancer
Zinc Chromosome breaks Brain and immune dysfunction
Neeha and Kinth. (2013)
20
21. Effect of Nutrients on Gene Expression
1. Direct Interaction
2. Epigenetic Interaction
3. Genetic Variations
21
22. 1.DIRECT INTERACTION
• Many of the micronutrients and bio-reactive chemicals in foods are directly
involved in metabolic reactions.
• Cofactors and Coenzymes in metabolism.
• Hormonal balances.
• Immune competence to detoxification processes and utilization of macronutrients
for fuel and growth.
• Eg: Riboflavin and Niacin in the electron transport chain.
22
23. Acting as ligands for transcription factors and thus directly alter gene
expression
23
Plant. (2015)
24. Eg: Vitamin A or retinoid derivatives of vitamin A interact with retinoic acid
receptor proteins, and these complexes activate or repress transcription when
they bind to motifs (eg:retinoic acid response elements) in gene promoter regions
24
25. 2. EPIGENETIC INTERACTIONS
• Epigenetics can be defined as “inheritable and reversible processes that regulate
gene expression without concomitant changes in the DNA coding sequence”
25
29. Food
Component
Source Epigenetic or Cellular Effect Anti-cancer Effect
Polyphenols:
Genistein
Soybeans Suppress expression of the androgen receptor (ER-β);
inhibition of DMNT (DNA methyltransferase)
Decreased risk of prostate
cancer (PCa) and breast cancer
Polyphenols:
Resveratrol
Grapes,
peanuts
DNMT 3b inhibitor; decrease in RASSF-1α methylation
with increasing circulating resveratrol; Suppress
expression of the androgen receptor
Decreased risk of PCa and breast
cancer
Isothiocyanates Cruciferous
vegetables
Interaction with xenobiotic compounds, smoking Anti-cancer effect: induced
apoptosis and suppressed
metastatic potential in lung
cells.
Zinc Seafood,
beef, lamb
May induce protein kinase B and thus inhibit PTEN
activity or inhibit alternative cancer associated
inflammatory pathways.
Inhibition of cell proliferation in
human prostatic carcinoma cell
lines (deficiency may contribute
to prostate and oesophageal
carcinomer risk ).
Bishop et al. (2015) 29
30. 3. GENETIC VARIATIONS
• Humans are 99.8% genetically similar.
• SNP are the most common type of variation.
• Specific genetic polymorphisms in human populations change their metabolic response
to diet and influence the risk patterns of disease.
• Some SNPs change the recipe for the gene so that either a different quantity of the
protein is produced or the structure of the protein molecule is altered.
One of the most familiar facts in medical practice is that no two persons respond in
exactly the same manner to drugs.
-A J Clark
30
33. Tools and Databases used in Nutrigenomics
TOOL DESCRIPTION
BioConductor
Specific tool used for relative power and sample size analysis on
gene expression profiling data. The primary focus is on PPAR.
GRS
GRS is a new compression tool for storing and analyzing Genome
ReSequencing data. It can be used for analysis of rice genome in
researching.
SMM
SMM-system is the new tool for study on an important food borne
pathogen, Salmonella enterica.
BOOLY
Booly is a new tool for data integration. It is being used by Food
and Drug Administration (FDA) in nutrition, food and drug aspect.
33
34. DATABASE DESCRIPTION
Nutritional
Phenotype
database
(dbNP)
Newly developed database by Nutrigenomics Organisation (NuGO)
aiming at storage of biologically relevant, pre-processed-omics data. It
becomes the referencing database at present.
GxE
GxE is a database for gene-environment interaction. Specific interactions
relevant to nutrition, blood lipids, cardiovascular disease and type 2
diabetes are covered by this database.
vProtein
vProtein is the database for identifying optimal amino acid complements
from plant-based foods. It is developed with an aim to determine the
required quantity of each food.
BarleyBase
BarleyBase is a specific database for plant microarrays with integrated
tools for data visualization and statistical analysis. It also covers the
microarrays data from study on food plants including wheat, maize,
soybean and rice. This database is important for not only nutrigenomics
but also plant genomics
SOURCE: Wiwanitki, 2012
34
35. Lactose intolerance
• Lactose intolerance is an impaired ability to
digest lactose.
• They may experience abdominal pain,
bloating, nausea, and diarrhea.
• Mutations in the LCT gene.
• LCT gene expression is controlled by a
nearby gene called MCM6.
• It is a recessive disorder.
35
36. Gluten intolerance/Non-celiac gluten sensitivity
(NCGS)
• Gluten is a protein in cereals such as wheat, barley, and rye.
• occur within hours to days after ingestion
• Do not develop antiodies
• Abdominal pain, bloating, diarrhea, nausea and constipation.
• There's no accepted medical test for gluten sensitivity.
• It doesn't damage the intestine.
• disappear when gluten eliminated
36
37. GENES DISORDER DIET
ADIPOQ, FTO, MC4R,
INSIG2
Obesity
PTPN22 Type 1 diabetes High Amylose Rice,
CNDP1
COL4A3- SNP
rs55703767 (missense )
Diabetic kidney disease (T2DM) Black rice, Telanagana sona- RNR 15048
(golden rice)
APOE, PAI-1, ACE,
MTHFR, CYP2C19*2
polymorphism
Cardiovascular disease Plant-based foods and items that are low in
saturated fat
ABO and SH2B3
pleiotropic effect,
MEF2A
Coronary heart disease A low-fat, high-fibre diet, high unsaturated
fatty acids like olive oil, soy oil
HLA DQ gene Celiac disease Low-gluten wheat
TLR1 gene susceptible
to Helicobacter pylori
Gastritis Low fat and fibre food
Probiotics could help in the treatment. 37
38. NUTRIGENOMICS AND PLANT BREEDING
• Disproportionate imbalance between the agricultural lands needed for food
production, and the steady rise in urban
• Globesity, Diabetes Mellitus, Cancer, Protein-Energy Malnutrition, Hidden hunger
etc.
• The cardinals of human diets i.e., starch, protein and oil, micronutrients, are derived
primarily from vegetable sources
• Fourth generation of plant breeding is “Nutrition based breeding”.
38
40. 2. Transgenic approach
•Produced by the transfer of genes or
gene elements of known function and
their integration into random locations
along the chromosome of the recipient
plant (host plant).
• The donor species of the transgene
may or may not be able to cross with
the host plant.
40
41. • Rice modified with daffodil gene to have more beta carotene,
which is a precursor of vitamin A.
• Ingo Potrykus and Peter Beyer
• In 2005 Golden Rice 2 - phytoene synthase gene from maize.
• Golden rice 2 produces 23 times more carotenoids than golden
rice and preferentially accumulates beta-carotene (up to 31 µg/g
of the 37 µg/g of carotenoids)
Golden rice
41
42. 3. Marker Assisted Selection
• Allows precise selection of the target gene.
• It is the most effective way of transferring specific genes to an agronomically
superior cultivar.
• Marker-assisted backcross breeding (MABB) - success over a decade
• Shortens the breeding cycle.
• High lysine in maize: First successful demonstration of marker-assisted selection.
• QPM hybrids in maize, High provitamin-A in maize hybrids like Vivek QPM
hybrid-9
42
43. HIGH OLEIC SOYBEAN
• Soybean oil is the leading edible oil globally
• Diets rich in oleic acids are associated with lower fat
mass and decreased blood pressure.
• 75-80% oleic acid,
• 8% linoleic acid,
• 2% alpha-linolenic acid, and 12% saturated fats.
• The FDA authorized the use of a qualified health claim for oils high in oleic
acid, including high oleic soybean oil, and their relationship to a reduced risk
of coronary heart disease when replacing oils higher in saturated fats.
43
44. • Objective
Combining HOLL lines with the increased α- tocopherol trait through
molecular-assisted breeding.
44
45. • Using SNPViz screening of the soybean accessions for the presence of the
over-expression allele of γ-ΤΜΤ3 gene.
• The four accessions with the OE γ-ΤΜΤ3 promoter SNP had higher α-
tocopherol to total tocopherol ratio than the wild-type (WT) γ-ΤΜΤ3.
• A Simple Probe molecular marker assay for the OE γ-ΤΜΤ3 alleles.
45
46. Melting curve analysis
• WT γ-ΤΜΤ3 alleles produced peaks at 62.5 °C (blue)
• OE γ-ΤΜΤ3 alleles produced peaks at 58.5 °C (purple)
• Heterozygous samples produced both peaks
46
47. • Molecular marker based breeding scheme to combine the HOLL
seed oil trait with the elevated vitamin E trait
47
49. Conclusion
• Demonstrated that the soybean elevated vitamin E trait
conditioned by the OE ɣ-TMT3 alleles can be
successfully combined with the four fatty acid
desaturase alleles responsible for the HOLL seed oil
trait in soybean.
• Achieve a healthier, more oxidatively stable and
nutritionally enhanced non-GMO soybean.
49
50. 4.Genome Editing (GenEd technology)
•Addition or deletion of one or few bp. The most
frequent result is a small deletion, which creates a
frame-shift mutation.
• The change of a few bp at such a site would constitute
GenEd.
•Targeted mutations can be induced
•Controlled and faster approach of gene silencing or
enhancement of gene expression.
•ZFNs, TALENS, CRISPR/Cas9 system.
50
51. • Wolf et al. (2018)
• Gluten-Free Diet and decreased quality of life
• potential negative consequences of hypervigilance to a strict gluten-free
diet.
• Increased anxiety, fatigue.
• However avoiding gluten consumption is difficult
• Gluten-free products, made without wheat, barley or rye- less healthy
• Two broad approaches:
1. Food processing strategies
2. Wheat breeding strategies
51
52. Objective:
• Production of low-gluten transgene free wheat lines and serve as
source material to introgress this trait into elite wheat varieties.
52
53. Materials
• pANIC-6E vector
• Two bread wheat lines, denoted BW208 and THA53
• one durum wheat line, cv Don Pedro (DP)
53
54. The CRISPR/Cas9
constructs were
transformed into
BW028, TAH53
and DP
Twenty-one T0
transgenic lines.
Illumina
sequencing of
alpha-gliadins was
done in 18 T1
transgenic lines.
Line T545 from
plant 10 had the
highest mutation
frequency : ~75%
of the sequence
reads had indels.
Mass
spectrometry
(MALDI-TOF)
confirmed the
sharp reduction of
a-gliadins,
sgAlpha-2 lines
showing a greater
reduction in the
number of visible
peaks.
54
55. Gliadin and glutenin fractions were determined by RP-HPLC and
expressed as µg/mg flour. 55
57. • Immune
reactivity analysis
of T2 seeds of the
sgAlpha-1 and
sgAlpha-2 mutant
lines with the
monoclonal
antibodies (mAb)
R5 and G12.
• Sodium dodecyl
sulphate (SDS)
sedimentation
test expressed as
mLg-1.
57
58. Conclusion:
• CRISPR/Cas9 efficiently and precisely targeted conserved regions of the a-gliadin genes in
both bread and durum wheat, leading to high-frequency mutagenesis.
• Immuno reactivity of the CRISPR-edited wheat lines was reduced by 85%, as revealed by
the R5 and G12 ELISA tests.
58
59. High-Amylose Rice
• Amylose is a long, straight starch molecule that does not gelatinize during
cooking.
• Long grain rice like basmathi typically has high amounts of amylose
(about 22)
• Diabetes is a lifestyle disease
• Low glycemic index (GI) foods inhibit the rapid increase in blood glucose
or insulin secretion after a meal.
• Consumption of RS could lead to a decreased glycemic index (GI) which
decrease the incidence and mitigate the severity of type II diabetes.
59
60. Drastic increase of
blood glucose after
meal was inhibited
significantly in the
case of high-amylose
rice.
Ohtsubo et al. (2016)60
61. Generation of High-Amylose Rice through CRISPR/Cas9-
Mediated Targeted Mutagenesis of Starch Branching Enzymes
Objective:
• Using CRISPR/Cas9 technology to generate targeted mutagenesis in
SBEI and SBEIIb in rice.
61
62. Materials
• japonica cv. Kitaake
• pCXUN-Cas9 vector
• Backbone of pCXUN-Cas9 - hygromycin resistant gene (hptII)
• The PmeI in pCXUN-Cas9 were used for introducing the gRNAs
expression cassettes.
• Transformation: Agrobacterium tumefaciens strain EHA105
62
63. gRNA target sites on the genomic regions of SBEI and SBEIIb
T-DNA structure in CRISPR/Cas9-mediated genome editing construct
63
64. Fig: CRISPR/Cas9-mediated target mutations in SBEI and SBEIIb in rice.
64
Fig: Detection of mutations in SBEI and SBEIIb via PCR/RE assay in T0 generation.
66. • Resistant starch
contents of polished
grains from different
sbeI and sbeIIb mutant
mutant lines.
• Amylose contents
• Ratios of
amylose/amylopectin of
the starch 66
67. Conclusion
•Generation of high amylose rice by CRISPR/Cas9-mediated
targeted mutagenesis in SBEIIb.
• Transgene-free homozygous sbeIIb mutants with a
significantly increased AC and RS contents
67
68. Black rice
• Rice modified by transfer of soybean ferritin gene to
increase iron bio availability.
• Black colour – anthocyanin, known as purple rice
• It is heirloom rice, means it is open pollinated.
68
Sugars, Salts
and Fats
Fibers, anthocyanin,
antioxidants, vitamins
B1, B3 and E, Fe, Mg
and P.
long life rice
Black rice is
called as
“Super food”
because of its
nutritive value.
Blood tests: If results show that certain antibodies are present, the person may have celiac disease.
A biopsy: This involves taking a tissue sample from the lining of the intestine. If results show damage to the lining, the person may have celiac disease.
Protein tyrosine phosphatase, non-receptor type 22 (lymphoid), also known as PTPN22, is a protein that in humans is encoded by the PTPN22 gene
underlined sequences - marker assay forward and reverse primers
gray-highlighted region – Simple Probe sequence
“A” base is the polymorphic site at position 44,341,365 that is a “G” base in OE γ-ΤΜΤ3 alleles.
due to the presence of wheat and wheat derivatives in many food products.
Gluten-free products, made without wheat, barley or rye, typically require the inclusion of numerous additives, resulting in products that are often less healthy than gluten-based equivalents.
Enhance the longivity of life, hence it is also known as long life rice.