The document summarizes the five main mechanisms of evolution: 1) mutation and variation, 2) gene flow, 3) non-random mating, 4) genetic drift, and 5) natural selection. It provides examples for each mechanism and explains how they can lead to changes in populations and speciation over time through processes like genetic mixing, founder effects, bottlenecks, and differential survival based on environmental pressures.
Evolution in small population
by HAIDER ALI
In biology evolution is the change in the characteristics of a species over several generations and relies on the process of natural selection,
The theory of evolution is based on the idea that all species are related and gradually change.
This document discusses various topics related to rates and patterns of evolution. It describes divergent, convergent, and parallel evolution. It also discusses evolutionary trends over time, as well as factors that can influence the rate of evolutionary change such as mutation rates, selective pressure, and environmental stress. Examples are provided to illustrate different types of evolution, trends, and hypotheses about gradual versus punctuated change.
This document provides an overview of genetic algorithms including:
1. Genetic algorithms are search and optimization techniques inspired by Darwinian evolution.
2. They work by evolving a population of candidate solutions over generations to find an optimal or near-optimal solution.
3. The main genetic operators are selection, crossover, and mutation which mimic natural selection and genetics to manipulate the composition of candidate solutions in the population from one generation to the next.
The deviation in hardy weinberg equilibriumHasan Kouta
Hardy-Weinberg equilibrium assumes populations are isolated with no migration or gene flow between them. Most natural populations experience some level of migration or gene flow as individuals move between populations, introducing new alleles. Gene flow occurs when migrants breed with the new population, incorporating their alleles into the gene pool and changing allele frequencies over time. This migration and interbreeding breaks the isolation assumption of Hardy-Weinberg equilibrium.
This document discusses genetic drift, which is changes in allele frequencies in a population due to chance events rather than natural selection. Genetic drift is more likely to have large effects in small populations and can cause increases in neutral, beneficial, or detrimental traits randomly. Two types of genetic drift are founder effects, which occur when a new population is founded by a small number of colonists, and population bottlenecks, when a population is drastically reduced in size, such as by a natural disaster. Examples are provided of each type.
The document summarizes evidence for evolution from fossils, comparative anatomy, and biogeography. It discusses the development of early life from chemical evolution to the first protocells and cells. Population genetics and the mechanisms of evolution like natural selection and speciation are also covered. Classification systems including the five kingdom and three domain models are described.
This document discusses population genetics and Hardy-Weinberg equilibrium. It begins by defining Hardy-Weinberg equilibrium as describing the null model of evolution for a population at genetic equilibrium. It then lists the five conditions that must be met for a population to be in Hardy-Weinberg equilibrium: 1) no genetic drift, 2) no migration, 3) no mutation, 4) no selection, and 5) random mating. The document provides examples of how to calculate allele frequencies and determine if a population is in Hardy-Weinberg equilibrium. It also discusses concepts such as genetic drift, bottleneck effects, and the founder effect.
Microevolution is changes in allele frequencies in a population over a short time due to various evolutionary processes. Five agents of change can cause microevolution: mutation, gene flow, genetic drift, non-random mating, and natural selection. Natural selection is the only consistent driver of adaptation, favoring traits that increase an organism's fitness and ability to pass genes to the next generation. Selection can act in three modes: stabilizing selection favors intermediate traits, directional selection moves a trait toward an extreme, and disruptive selection moves a trait toward both extremes.
Evolution in small population
by HAIDER ALI
In biology evolution is the change in the characteristics of a species over several generations and relies on the process of natural selection,
The theory of evolution is based on the idea that all species are related and gradually change.
This document discusses various topics related to rates and patterns of evolution. It describes divergent, convergent, and parallel evolution. It also discusses evolutionary trends over time, as well as factors that can influence the rate of evolutionary change such as mutation rates, selective pressure, and environmental stress. Examples are provided to illustrate different types of evolution, trends, and hypotheses about gradual versus punctuated change.
This document provides an overview of genetic algorithms including:
1. Genetic algorithms are search and optimization techniques inspired by Darwinian evolution.
2. They work by evolving a population of candidate solutions over generations to find an optimal or near-optimal solution.
3. The main genetic operators are selection, crossover, and mutation which mimic natural selection and genetics to manipulate the composition of candidate solutions in the population from one generation to the next.
The deviation in hardy weinberg equilibriumHasan Kouta
Hardy-Weinberg equilibrium assumes populations are isolated with no migration or gene flow between them. Most natural populations experience some level of migration or gene flow as individuals move between populations, introducing new alleles. Gene flow occurs when migrants breed with the new population, incorporating their alleles into the gene pool and changing allele frequencies over time. This migration and interbreeding breaks the isolation assumption of Hardy-Weinberg equilibrium.
This document discusses genetic drift, which is changes in allele frequencies in a population due to chance events rather than natural selection. Genetic drift is more likely to have large effects in small populations and can cause increases in neutral, beneficial, or detrimental traits randomly. Two types of genetic drift are founder effects, which occur when a new population is founded by a small number of colonists, and population bottlenecks, when a population is drastically reduced in size, such as by a natural disaster. Examples are provided of each type.
The document summarizes evidence for evolution from fossils, comparative anatomy, and biogeography. It discusses the development of early life from chemical evolution to the first protocells and cells. Population genetics and the mechanisms of evolution like natural selection and speciation are also covered. Classification systems including the five kingdom and three domain models are described.
This document discusses population genetics and Hardy-Weinberg equilibrium. It begins by defining Hardy-Weinberg equilibrium as describing the null model of evolution for a population at genetic equilibrium. It then lists the five conditions that must be met for a population to be in Hardy-Weinberg equilibrium: 1) no genetic drift, 2) no migration, 3) no mutation, 4) no selection, and 5) random mating. The document provides examples of how to calculate allele frequencies and determine if a population is in Hardy-Weinberg equilibrium. It also discusses concepts such as genetic drift, bottleneck effects, and the founder effect.
Microevolution is changes in allele frequencies in a population over a short time due to various evolutionary processes. Five agents of change can cause microevolution: mutation, gene flow, genetic drift, non-random mating, and natural selection. Natural selection is the only consistent driver of adaptation, favoring traits that increase an organism's fitness and ability to pass genes to the next generation. Selection can act in three modes: stabilizing selection favors intermediate traits, directional selection moves a trait toward an extreme, and disruptive selection moves a trait toward both extremes.
Speciation occurs through the formation of new species via the splitting of existing species. Species are created through a series of evolutionary processes where populations become isolated from each other due to barriers like geographic separation. Isolated populations then evolve independently, developing characteristics that prevent interbreeding if they come into contact again, resulting in reproductive isolation and the formation of new species.
Microevolution Changing Allele FrequenciesTauqeer Ahmad
This document discusses microevolution and the processes that can cause changes in allele frequencies within a population over time, leading to evolution. It specifically discusses:
- Mutation, genetic drift, gene flow, and natural and artificial selection as the four processes that can cause changes in allele frequencies.
- Examples of how immigration or emigration of a few individuals can impact allele frequencies more in a small population compared to a large population.
- Genetic drift occurring more dramatically in small populations through bottlenecks or founder effects, impacting genetic diversity.
- Conditions for Hardy-Weinberg equilibrium when allele frequencies remain stable without evolution occurring.
This document summarizes several mechanisms of evolution including natural selection, genetic drift, mutation, gene flow, artificial selection, sexual selection, and macroevolution patterns like adaptive radiation and convergent evolution. Natural selection leads to adaptations that increase fitness while genetic drift, mutation, and gene flow cause random changes in allele frequencies. Recombination generates genetic variation and macroevolution transforms life over long time periods through mass extinctions and diversification.
The document discusses several ways that the theory of evolution continues to be shaped, including:
1) Scientists now recognize that natural selection is not the only mechanism of evolution, with genetic drift, gene flow, mutation, and non-random mating also influencing changes within populations over time.
2) Two theories for the rate of speciation discussed are gradualism, where evolution proceeds in small gradual steps, and punctuated equilibrium, where species diverge rapidly during sporadic periods of genetic change.
3) Various patterns of evolution are examined, including adaptive radiation, coevolution, convergent evolution, and factors that can influence speciation like genetic isolation and the formation of new habitats.
Genetic drift is a change in allele frequencies in a population due to chance events, and is more likely to occur in small populations. Unlike natural selection, genetic drift is random and can cause changes in traits that are beneficial, detrimental, or neutral. Two types of genetic drift are founder effect, which occurs when a small group colonizes a new area, and population bottleneck, which is caused by a drastic reduction in population size, such as from a natural disaster.
Genetic drift refers to changes in allele frequencies in a population due to random fluctuations. Over many generations, genetic drift usually results in the loss or fixation of an allele. The rate of genetic drift depends on population size, with smaller populations experiencing greater drift due to chance fluctuations. Genetic drift can lead to loss of genetic variation and influence how populations diverge genetically over time.
1. Population genetics is the study of genetic variation within populations and how gene and allele frequencies change over time under various evolutionary influences.
2. The document discusses key concepts in population genetics including genes, alleles, genotype, phenotype, and the Hardy-Weinberg principle of genetic equilibrium.
3. Five main factors that can cause changes in population genetics are described: natural selection, mutation, random mating, genetic drift, and migration into or out of a population.
Five factors drive evolution in populations: mutation, migration, genetic drift, natural selection, and nonrandom mating. Genetic drift is the change in allele frequencies that occurs due to random sampling error in small populations. It can cause alleles to be lost or fixed in a population by chance alone, independent of adaptive effects. The rate of genetic drift is influenced by population size, with smaller populations experiencing stronger drift effects due to increased sampling error. Effective population size is often much smaller than actual population size due to factors like unequal sex ratios. Genetic drift reduces genetic diversity over time and can cause maladaptive evolution if drift is stronger than selection.
The document discusses Hardy-Weinberg equilibrium, which explains that allele and genotype frequencies remain constant from generation to generation in a population without evolutionary influences. It will remain constant in an infinitely large random breeding population without factors like selection, migration, or mutation. The document then discusses the conditions required for Hardy-Weinberg equilibrium and various agents that can cause evolutionary change like mutation, gene flow, non-random mating, genetic drift, and natural selection.
The bottleneck effect occurs when a population undergoes a severe reduction in size, such as from an environmental disaster. This leaves the population with reduced genetic variation compared to the original population. Non-selective bottlenecks cause random changes to allele frequencies by chance alone, which can lead to loss of variation and fixation of harmful alleles. Selective bottlenecks may also occur if certain alleles confer a survival advantage when passing through the bottleneck. Both types of bottlenecks increase the effects of genetic drift in small populations.
Genetic drift is the random change in allele frequencies between generations in a small population due to chance. It can cause loss of genetic variation and lead to homozygosity. The bottleneck effect occurs when a population is drastically reduced in size, such as by a natural disaster, leaving a small surviving population with less genetic diversity than the original. The founder effect is similar, occurring when a new population is established by a small number of colonists from a larger population, resulting in allele frequencies that may not represent the original population. Both effects can increase the prevalence of genetic disorders in the new populations.
Evolutionary equilibrium, also known as Hardy Weinberg equilibrium, occurs when allele and genotype frequencies remain constant between generations in a population with no evolutionary forces. There are five main destabilizing forces that disrupt evolutionary equilibrium: 1) genetic drift, such as bottleneck and founder effects, which cause changes in allele frequencies by chance, 2) mutation, which introduces new alleles, 3) migration or gene flow between populations, which prevents divergence, 4) meiotic drive, where some alleles are overrepresented in gametes, and 5) natural selection, where some alleles provide a reproductive advantage. Together, these evolutionary forces ensure that Hardy Weinberg equilibrium is rarely achieved in natural populations.
This document provides an overview of lectures for Week 6 on the genetic basis of evolution. The lectures will cover general introductions, defining key terms, genetic drift, and natural selection. Students are advised to read additional material on evolution. The lectures aim to move students away from overly simplistic "pan-selectionist" views and help them understand how genetic drift and natural selection both shape evolution. Genetic drift, the random changes in allele frequencies due to chance events in small populations, is a major factor in evolution and occurs in all populations.
Genetic drift occurs when random chance alone causes changes in allele frequencies in a small population without selective pressures. A catastrophe reduced a beetle population to 25% green and 75% brown alleles randomly. If the last few green beetles fail to pass on the green allele, it may be lost forever through genetic drift. Genetic drift can reduce genetic diversity and occurs through genetic bottlenecks, where a population is drastically reduced, or the founder effect, where a small group from a population establishes a new population with low genetic variation.
The four evolutionary forces are natural selection, gene flow, genetic drift, and mutation. Charles Darwin and Alfred Russell Wallace independently developed the theory of evolution by natural selection. Natural selection is the process by which organisms best adapted to their environment tend to survive and pass on their genes more than others. Mutation introduces new genetic variation, while genetic drift and population bottlenecks can cause changes in allele frequencies in small, isolated populations. The evolutionary force that causes the fastest change in gene frequency is natural selection because it can eliminate entire traits from a population. Sickle cell anemia is caused by a mutation in the hemoglobin gene and is maintained in some populations because it provides resistance to malaria.
The document discusses several concepts related to evolution in populations, including natural selection, genetic drift, gene flow, and speciation. It provides examples of how genetic drift can occur through bottlenecks or when founding new populations. Gene flow can increase genetic variation in small populations. Isolated populations can adapt differently and eventually become reproductively isolated, leading to speciation. The Hardy-Weinberg model describes unchanging populations and can predict genotype frequencies.
The document discusses several concepts related to evolution in populations, including natural selection, genetic drift, gene flow, and speciation. It provides examples of how genetic drift can occur through bottleneck events or when a small group founds a new population. Isolated populations can evolve into separate species over time if reproductive barriers form between them. The Hardy-Weinberg model describes unchanging populations, but real populations rarely meet all its assumptions and can evolve through factors like genetic drift, gene flow, mutation, and natural and sexual selection.
There are five main mechanisms of evolution: natural selection, gene flow, genetic drift, mutations, and non-random mating. Natural selection occurs as individuals with traits better suited to their environment tend to survive and pass on their genes more than others. Gene flow introduces new alleles as individuals migrate and breed with other populations. Genetic drift is the change in allele frequencies due to chance events in small populations. Mutations provide genetic variation for natural selection to act upon. Non-random mating, like sexual selection and inbreeding, can also change allele frequencies in a population over time.
There are three main patterns of evolution: convergent evolution, divergent evolution, and coevolution. Convergent evolution occurs when unrelated species independently evolve similar traits due to adaptation to the same environment. Divergent evolution is when species with a common ancestor evolve differences in traits over time. Coevolution is when two species influence each other's evolution, such as through a predator-prey relationship. Genetic variation within populations is driven by mutation, recombination, gene flow, and genetic drift, and this variation provides the raw material for natural selection to act upon as populations adapt to their environments over generations.
Seedcause.org aims to build an efficient global humanitarian help network connecting international schools, students, teachers, alumni and parents. The network allows resources, both intellectual and financial, to be shared across nodes in the network. Each additional node increases the network effect, with more schools providing more benefits. The network provides zero costs, infinite leverage of resources, currency hedging by allowing $400 to feed 150 students for 4 weeks in other countries, and connects communities while allowing focused support of specific causes over large regions.
With 400 euros, 150 students can be fed for 4 weeks. The document discusses seedcause.org, a human network that connects international schools, students, teachers, alumni, and parents to efficiently fund causes across the globe. The network becomes more effective as more schools participate, allowing specific causes to be tackled through immediate, independent, and cost-effective fundraising that leverages donations.
Speciation occurs through the formation of new species via the splitting of existing species. Species are created through a series of evolutionary processes where populations become isolated from each other due to barriers like geographic separation. Isolated populations then evolve independently, developing characteristics that prevent interbreeding if they come into contact again, resulting in reproductive isolation and the formation of new species.
Microevolution Changing Allele FrequenciesTauqeer Ahmad
This document discusses microevolution and the processes that can cause changes in allele frequencies within a population over time, leading to evolution. It specifically discusses:
- Mutation, genetic drift, gene flow, and natural and artificial selection as the four processes that can cause changes in allele frequencies.
- Examples of how immigration or emigration of a few individuals can impact allele frequencies more in a small population compared to a large population.
- Genetic drift occurring more dramatically in small populations through bottlenecks or founder effects, impacting genetic diversity.
- Conditions for Hardy-Weinberg equilibrium when allele frequencies remain stable without evolution occurring.
This document summarizes several mechanisms of evolution including natural selection, genetic drift, mutation, gene flow, artificial selection, sexual selection, and macroevolution patterns like adaptive radiation and convergent evolution. Natural selection leads to adaptations that increase fitness while genetic drift, mutation, and gene flow cause random changes in allele frequencies. Recombination generates genetic variation and macroevolution transforms life over long time periods through mass extinctions and diversification.
The document discusses several ways that the theory of evolution continues to be shaped, including:
1) Scientists now recognize that natural selection is not the only mechanism of evolution, with genetic drift, gene flow, mutation, and non-random mating also influencing changes within populations over time.
2) Two theories for the rate of speciation discussed are gradualism, where evolution proceeds in small gradual steps, and punctuated equilibrium, where species diverge rapidly during sporadic periods of genetic change.
3) Various patterns of evolution are examined, including adaptive radiation, coevolution, convergent evolution, and factors that can influence speciation like genetic isolation and the formation of new habitats.
Genetic drift is a change in allele frequencies in a population due to chance events, and is more likely to occur in small populations. Unlike natural selection, genetic drift is random and can cause changes in traits that are beneficial, detrimental, or neutral. Two types of genetic drift are founder effect, which occurs when a small group colonizes a new area, and population bottleneck, which is caused by a drastic reduction in population size, such as from a natural disaster.
Genetic drift refers to changes in allele frequencies in a population due to random fluctuations. Over many generations, genetic drift usually results in the loss or fixation of an allele. The rate of genetic drift depends on population size, with smaller populations experiencing greater drift due to chance fluctuations. Genetic drift can lead to loss of genetic variation and influence how populations diverge genetically over time.
1. Population genetics is the study of genetic variation within populations and how gene and allele frequencies change over time under various evolutionary influences.
2. The document discusses key concepts in population genetics including genes, alleles, genotype, phenotype, and the Hardy-Weinberg principle of genetic equilibrium.
3. Five main factors that can cause changes in population genetics are described: natural selection, mutation, random mating, genetic drift, and migration into or out of a population.
Five factors drive evolution in populations: mutation, migration, genetic drift, natural selection, and nonrandom mating. Genetic drift is the change in allele frequencies that occurs due to random sampling error in small populations. It can cause alleles to be lost or fixed in a population by chance alone, independent of adaptive effects. The rate of genetic drift is influenced by population size, with smaller populations experiencing stronger drift effects due to increased sampling error. Effective population size is often much smaller than actual population size due to factors like unequal sex ratios. Genetic drift reduces genetic diversity over time and can cause maladaptive evolution if drift is stronger than selection.
The document discusses Hardy-Weinberg equilibrium, which explains that allele and genotype frequencies remain constant from generation to generation in a population without evolutionary influences. It will remain constant in an infinitely large random breeding population without factors like selection, migration, or mutation. The document then discusses the conditions required for Hardy-Weinberg equilibrium and various agents that can cause evolutionary change like mutation, gene flow, non-random mating, genetic drift, and natural selection.
The bottleneck effect occurs when a population undergoes a severe reduction in size, such as from an environmental disaster. This leaves the population with reduced genetic variation compared to the original population. Non-selective bottlenecks cause random changes to allele frequencies by chance alone, which can lead to loss of variation and fixation of harmful alleles. Selective bottlenecks may also occur if certain alleles confer a survival advantage when passing through the bottleneck. Both types of bottlenecks increase the effects of genetic drift in small populations.
Genetic drift is the random change in allele frequencies between generations in a small population due to chance. It can cause loss of genetic variation and lead to homozygosity. The bottleneck effect occurs when a population is drastically reduced in size, such as by a natural disaster, leaving a small surviving population with less genetic diversity than the original. The founder effect is similar, occurring when a new population is established by a small number of colonists from a larger population, resulting in allele frequencies that may not represent the original population. Both effects can increase the prevalence of genetic disorders in the new populations.
Evolutionary equilibrium, also known as Hardy Weinberg equilibrium, occurs when allele and genotype frequencies remain constant between generations in a population with no evolutionary forces. There are five main destabilizing forces that disrupt evolutionary equilibrium: 1) genetic drift, such as bottleneck and founder effects, which cause changes in allele frequencies by chance, 2) mutation, which introduces new alleles, 3) migration or gene flow between populations, which prevents divergence, 4) meiotic drive, where some alleles are overrepresented in gametes, and 5) natural selection, where some alleles provide a reproductive advantage. Together, these evolutionary forces ensure that Hardy Weinberg equilibrium is rarely achieved in natural populations.
This document provides an overview of lectures for Week 6 on the genetic basis of evolution. The lectures will cover general introductions, defining key terms, genetic drift, and natural selection. Students are advised to read additional material on evolution. The lectures aim to move students away from overly simplistic "pan-selectionist" views and help them understand how genetic drift and natural selection both shape evolution. Genetic drift, the random changes in allele frequencies due to chance events in small populations, is a major factor in evolution and occurs in all populations.
Genetic drift occurs when random chance alone causes changes in allele frequencies in a small population without selective pressures. A catastrophe reduced a beetle population to 25% green and 75% brown alleles randomly. If the last few green beetles fail to pass on the green allele, it may be lost forever through genetic drift. Genetic drift can reduce genetic diversity and occurs through genetic bottlenecks, where a population is drastically reduced, or the founder effect, where a small group from a population establishes a new population with low genetic variation.
The four evolutionary forces are natural selection, gene flow, genetic drift, and mutation. Charles Darwin and Alfred Russell Wallace independently developed the theory of evolution by natural selection. Natural selection is the process by which organisms best adapted to their environment tend to survive and pass on their genes more than others. Mutation introduces new genetic variation, while genetic drift and population bottlenecks can cause changes in allele frequencies in small, isolated populations. The evolutionary force that causes the fastest change in gene frequency is natural selection because it can eliminate entire traits from a population. Sickle cell anemia is caused by a mutation in the hemoglobin gene and is maintained in some populations because it provides resistance to malaria.
The document discusses several concepts related to evolution in populations, including natural selection, genetic drift, gene flow, and speciation. It provides examples of how genetic drift can occur through bottlenecks or when founding new populations. Gene flow can increase genetic variation in small populations. Isolated populations can adapt differently and eventually become reproductively isolated, leading to speciation. The Hardy-Weinberg model describes unchanging populations and can predict genotype frequencies.
The document discusses several concepts related to evolution in populations, including natural selection, genetic drift, gene flow, and speciation. It provides examples of how genetic drift can occur through bottleneck events or when a small group founds a new population. Isolated populations can evolve into separate species over time if reproductive barriers form between them. The Hardy-Weinberg model describes unchanging populations, but real populations rarely meet all its assumptions and can evolve through factors like genetic drift, gene flow, mutation, and natural and sexual selection.
There are five main mechanisms of evolution: natural selection, gene flow, genetic drift, mutations, and non-random mating. Natural selection occurs as individuals with traits better suited to their environment tend to survive and pass on their genes more than others. Gene flow introduces new alleles as individuals migrate and breed with other populations. Genetic drift is the change in allele frequencies due to chance events in small populations. Mutations provide genetic variation for natural selection to act upon. Non-random mating, like sexual selection and inbreeding, can also change allele frequencies in a population over time.
There are three main patterns of evolution: convergent evolution, divergent evolution, and coevolution. Convergent evolution occurs when unrelated species independently evolve similar traits due to adaptation to the same environment. Divergent evolution is when species with a common ancestor evolve differences in traits over time. Coevolution is when two species influence each other's evolution, such as through a predator-prey relationship. Genetic variation within populations is driven by mutation, recombination, gene flow, and genetic drift, and this variation provides the raw material for natural selection to act upon as populations adapt to their environments over generations.
Seedcause.org aims to build an efficient global humanitarian help network connecting international schools, students, teachers, alumni and parents. The network allows resources, both intellectual and financial, to be shared across nodes in the network. Each additional node increases the network effect, with more schools providing more benefits. The network provides zero costs, infinite leverage of resources, currency hedging by allowing $400 to feed 150 students for 4 weeks in other countries, and connects communities while allowing focused support of specific causes over large regions.
With 400 euros, 150 students can be fed for 4 weeks. The document discusses seedcause.org, a human network that connects international schools, students, teachers, alumni, and parents to efficiently fund causes across the globe. The network becomes more effective as more schools participate, allowing specific causes to be tackled through immediate, independent, and cost-effective fundraising that leverages donations.
With 400 euros, one could feed 150 students for 4 weeks in the third world. The organization seedcause.org aims to build an efficient global platform to connect causes to funding sources. By growing the network of participants, called nodes, the impact increases as more schools can be supported with the same amount of money. Some advantages include having zero costs, infinite leverage of donations, currency hedging that allows more impact in poorer regions, and enabling specific localized causes to be tackled rapidly in emergencies.
1.14 Why are organisms classified into groups ?netzwellenedu
1. Organisms are classified into taxonomic groups based on their evolutionary relationships and phylogeny to show their ancestry and reflect how they are related through common descent.
2. Comparing biochemical traits like DNA, proteins, and amino acid sequences between organisms provides information about their phylogenetic relationships and can be used to construct cladograms.
3. Classification aims to group organisms in a way that matches their evolutionary history, with organisms more closely related sharing more recent common ancestors placed in the same groups. This allows predictions about unknown traits and links evolutionary history.
The document discusses several hypotheses for the origin of life on Earth, including spontaneous abiogenesis from simple organic molecules and the conditions that existed on early Earth. The early Earth had a reducing atmosphere without oxygen that may have allowed organic molecules to form and persist without breaking down. Processes needed for the first cells to form could have included the production of simple organic molecules from inorganic precursors and their assembly into self-replicating polymers within membrane-bound structures.
1. Fossils provide direct evidence of descent with modification as they show transitions between different species over millions of years.
2. Comparative anatomy, biochemistry, embryology, and cell biology show that organisms share homologous and analogous traits as well as universal genetic and metabolic processes, indicating common ancestry.
3. Vestigial structures provide evidence of evolution as they are remnants of traits that were functional in ancestral species but no longer serve a purpose in modern organisms.
This document discusses natural selection and provides examples of how it can be observed. It begins by asking how natural selection can be observed and then provides definitions of key terms like selection pressures, selective advantages and disadvantages, and fitness. It then gives examples of types of natural selection like stabilizing, directional, and disruptive selection. The document also discusses sources of genetic variation like mutation, recombination, and sex and how these contribute to the raw material upon which natural selection acts. Specific examples are given of antibiotic resistance in bacteria and DDT resistance developing in mosquito populations.
The document discusses how to measure the evolution of populations using the Hardy-Weinberg principle of equilibrium. It explains that the Hardy-Weinberg equilibrium serves as a model for a non-evolving population that can be used to measure if evolutionary forces are acting on a real population. It provides the formulas for calculating allele and genotype frequencies in a population at equilibrium. An example problem applies the Hardy-Weinberg equation to calculate genotype frequencies in a population of cats. The document also discusses how the principle can be applied, using sickle cell anemia and malaria as an example of heterozygote advantage maintaining a harmful allele in a population.
Evolution explains the diversity of life through natural selection. Charles Darwin observed diversity among species on the Galapagos Islands and developed the theory of evolution by natural selection. His theory proposed that species evolve over generations through natural variation, reproduction, and the survival and reproduction of individuals best suited to their environment. Modern evolutionary theory, known as neo-Darwinism, has incorporated genetics and molecular biology and shown that natural variation arises via mutations in reproductive cells.
The document discusses how artificial selection can be used to improve organisms based on the principle of natural selection. It describes selective breeding as the process where humans choose which individuals are allowed to breed based on desired characteristics, while preventing others from breeding. This allows alleles for favored traits to be retained over generations, while eliminating undesirable traits. Selective breeding has been used to create diverse breeds and varieties from ancestral species like wolves and mustard plants. The document also discusses inbreeding as focused breeding between closely related individuals, which can reduce genetic diversity and cause problems if homozygosity becomes complete. Outbreeding using distinct genetic strains is presented as an alternative to create hybrids with superior traits.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
A Comprehensive Guide to DeFi Development Services in 2024Intelisync
DeFi represents a paradigm shift in the financial industry. Instead of relying on traditional, centralized institutions like banks, DeFi leverages blockchain technology to create a decentralized network of financial services. This means that financial transactions can occur directly between parties, without intermediaries, using smart contracts on platforms like Ethereum.
In 2024, we are witnessing an explosion of new DeFi projects and protocols, each pushing the boundaries of what’s possible in finance.
In summary, DeFi in 2024 is not just a trend; it’s a revolution that democratizes finance, enhances security and transparency, and fosters continuous innovation. As we proceed through this presentation, we'll explore the various components and services of DeFi in detail, shedding light on how they are transforming the financial landscape.
At Intelisync, we specialize in providing comprehensive DeFi development services tailored to meet the unique needs of our clients. From smart contract development to dApp creation and security audits, we ensure that your DeFi project is built with innovation, security, and scalability in mind. Trust Intelisync to guide you through the intricate landscape of decentralized finance and unlock the full potential of blockchain technology.
Ready to take your DeFi project to the next level? Partner with Intelisync for expert DeFi development services today!
Let's Integrate MuleSoft RPA, COMPOSER, APM with AWS IDP along with Slackshyamraj55
Discover the seamless integration of RPA (Robotic Process Automation), COMPOSER, and APM with AWS IDP enhanced with Slack notifications. Explore how these technologies converge to streamline workflows, optimize performance, and ensure secure access, all while leveraging the power of AWS IDP and real-time communication via Slack notifications.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Best 20 SEO Techniques To Improve Website Visibility In SERPPixlogix Infotech
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Freshworks Rethinks NoSQL for Rapid Scaling & Cost-EfficiencyScyllaDB
Freshworks creates AI-boosted business software that helps employees work more efficiently and effectively. Managing data across multiple RDBMS and NoSQL databases was already a challenge at their current scale. To prepare for 10X growth, they knew it was time to rethink their database strategy. Learn how they architected a solution that would simplify scaling while keeping costs under control.
Fueling AI with Great Data with Airbyte WebinarZilliz
This talk will focus on how to collect data from a variety of sources, leveraging this data for RAG and other GenAI use cases, and finally charting your course to productionalization.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...alexjohnson7307
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
5th LF Energy Power Grid Model Meet-up SlidesDanBrown980551
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
Driving Business Innovation: Latest Generative AI Advancements & Success StorySafe Software
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
11. 1. Mutation & Variation
§ Mutation creates variation
u new mutations are constantly appearing
12. 1. Mutation & Variation
§ Mutation creates variation
u new mutations are constantly appearing
§ Mutation changes DNA sequence
13. 1. Mutation & Variation
§ Mutation creates variation
u new mutations are constantly appearing
§ Mutation changes DNA sequence
u changes amino acid sequence
14. 1. Mutation & Variation
§ Mutation creates variation
u new mutations are constantly appearing
§ Mutation changes DNA sequence
u changes amino acid sequence
u changes protein
15. 1. Mutation & Variation
§ Mutation creates variation
u new mutations are constantly appearing
§ Mutation changes DNA sequence
u changes amino acid sequence
u changes protein
u changes in protein may
change phenotype &
therefore change fitness
18. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
19. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
u seed & pollen distribution by
wind & insect
20. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
u seed & pollen distribution by
wind & insect
u migration of animals
21. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
u seed & pollen distribution by
wind & insect
u migration of animals
§ sub-populations may have
different allele frequencies
22. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
u seed & pollen distribution by
wind & insect
u migration of animals
§ sub-populations may have
different allele frequencies
§ causes genetic mixing
across regions
23. 2. Gene Flow
§ Movement of individuals &
alleles in & out of populations
u seed & pollen distribution by
wind & insect
u migration of animals
§ sub-populations may have
different allele frequencies
§ causes genetic mixing
across regions
§ reduce differences
between populations
24. Human evolution today
§ Gene flow in human
populations is
increasing today
u transferring alleles
between populations
25. Human evolution today
§ Gene flow in human
populations is
increasing today
u transferring alleles
between populations
26. Human evolution today
§ Gene flow in human
populations is
increasing today
u transferring alleles
between populations
Are we moving towards a blended world?
33. 4. Genetic drift
§ Effect of chance events
u founder effect
§ small group splinters off & starts a new colony
34. 4. Genetic drift
§ Effect of chance events
u founder effect
§ small group splinters off & starts a new colony
er
Warbl
finc h
Gr
s
he
ou
inc
n d
ef
fin
e
ch
Tr
es
35. 4. Genetic drift
§ Effect of chance events
u founder effect
§ small group splinters off & starts a new colony
u bottleneck
er
Warbl
finc h
Gr
s
he
ou
inc
n d
ef
fin
e
ch
Tr
es
36. 4. Genetic drift
§ Effect of chance events
u founder effect
§ small group splinters off & starts a new colony
u bottleneck
§ some factor (disaster) reduces population to
small number & then population recovers &
expands again
er
Warbl
finc h
Gr
s
he
ou
inc
n d
ef
fin
e
ch
Tr
es
37. 4. Genetic drift
§ Effect of chance events
u founder effect
§ small group splinters off & starts a new colony
u bottleneck
§ some factor (disaster) reduces population to
small number & then population recovers &
expands again
er
Warbl
finc h
Gr
s
he
ou
inc
n d
ef
fin
e
ch
Tr
es
39. Founder effect
§ When a new population is started
by only a few individuals
u some rare alleles may be at high
frequency; others may
be missing
u skew the gene pool of
new population
§ human populations that
started from small group
of colonists
§ example:
colonization of New World
40. Distribution of blood types
§ Distribution of the O type blood allele in native
populations of the world reflects original settlement
41. Distribution of blood types
§ Distribution of the O type blood allele in native
populations of the world reflects original settlement
42. Distribution of blood types
§ Distribution of the O type blood allele in native
populations of the world reflects original settlement
43. Distribution of blood types
§ Distribution of the B type blood allele in native
populations of the world reflects original migration
44. Distribution of blood types
§ Distribution of the B type blood allele in native
populations of the world reflects original migration
45. Distribution of blood types
§ Distribution of the B type blood allele in native
populations of the world reflects original migration
46. Distribution of blood types
§ Distribution of the B type blood allele in native
populations of the world reflects original migration
49. Bottleneck effect
§ When large population is drastically
reduced by a disaster
u famine, natural disaster, loss of habitat…
50. Bottleneck effect
§ When large population is drastically
reduced by a disaster
u famine, natural disaster, loss of habitat…
u loss of variation by chance event
51. Bottleneck effect
§ When large population is drastically
reduced by a disaster
u famine, natural disaster, loss of habitat…
u loss of variation by chance event
§ alleles lost from gene pool
52. Bottleneck effect
§ When large population is drastically
reduced by a disaster
u famine, natural disaster, loss of habitat…
u loss of variation by chance event
§ alleles lost from gene pool
w not due to fitness
53. Bottleneck effect
§ When large population is drastically
reduced by a disaster
u famine, natural disaster, loss of habitat…
u loss of variation by chance event
§ alleles lost from gene pool
w not due to fitness
§ narrows the gene pool
57. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
58. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
§ 2 bottlenecks
59. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
§ 2 bottlenecks
u 10,000 years ago
60. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
§ 2 bottlenecks
u 10,000 years ago
§ Ice Age
61. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
§ 2 bottlenecks
u 10,000 years ago
§ Ice Age
u last 100 years
62. Cheetahs
§ All cheetahs share a small number of alleles
u less than 1% diversity
u as if all cheetahs are
identical twins
§ 2 bottlenecks
u 10,000 years ago
§ Ice Age
u last 100 years
§ poaching & loss of habitat
65. Peregrine Falcon
Conservation issues
§ Bottlenecking is an important
concept in conservation
biology of endangered
species
u loss of alleles from gene pool
Golden Lion
Tamarin
66. Peregrine Falcon
Conservation issues
§ Bottlenecking is an important
concept in conservation
biology of endangered
species
u loss of alleles from gene pool
u reduces variation
Golden Lion
Tamarin
67. Peregrine Falcon
Conservation issues
§ Bottlenecking is an important
concept in conservation
biology of endangered
species
u loss of alleles from gene pool
u reduces variation
u reduces adaptability
Breeding programs must
consciously outcross Golden Lion
Tamarin
74. 5. Natural selection
§ Differential survival & reproduction due
to changing environmental conditions
§ climate change
§ food source availability
§ predators, parasites, diseases
§ toxins
u combinations of alleles
that provide “fitness”
increase in the population
75. 5. Natural selection
§ Differential survival & reproduction due
to changing environmental conditions
§ climate change
§ food source availability
§ predators, parasites, diseases
§ toxins
u combinations of alleles
that provide “fitness”
increase in the population
§ adaptive evolutionary change