Doyou know your classical Mendelian genetics inside and out? If not, then read on, because Mendelian genetics is always a crucial part of the AP Biology Exam. All forms of life are composed of DNAs, which Mendelian genetics can explain, and this crash course can help you out with the studying.
Gregor Mendel, in 1865, published a hypothesis about inheritance of the characteristics of the peas in his garden. Mendel did this in order to prove the popular blending hypothesis of the time invalid. Before, it was believed that the traits of both parents blended to produce a hybrid offspring that was a perfect mix of both parents.
An example of this is that a white flower mated with a purple flower would produce a light purple offspring. Mendel disproved this theory, because when he bred his flowers, the F1 generation, were all the original deep shade of purple. The colors did not mix as what was believed in the blending hypothesis. Mendel claimed that genes will retain their individuality generation after generation as a result of his experiment.
This is also why the human gene for red hair color may skip generations. The red coloring is not blended with the hair color of the other parent. Instead, the red is only masked by another version of the gene within the chromosome.
Genes housed within the DNA are made up of specific parts of a chromosome and are used to determine the characteristics of an organism. Genes code for specific functions and characteristics in the body.
Within the body, genes sometimes work together to form a trait. This is called a polygenic trait. Other genes, called pleiotropic genes, affect multiple characteristics with only the single genes. Even less genes are encoded to form a single trait. This is the type of trait that Mendel studied with his peas, and we refer to it as a Mendelian Trait.
Traits are determined by which form, or allele, of the gene is expressed. These alleles can be dominant, meaning they overpower the recessive gene. The expression of the trait is called the phenotype. Therefore, if the purple and white flowers bred together and produced purple flowers, then the purple coloring would be the phenotype.
If your parents have brown eyes, the dominant trait, then it gets a bit more complex. Your parents could either have homozygous dominant, or BB, for brown eyes or heterozygous for brown eyes, or Bb. This is because the brown trait is expressed over the blue trait. This gives the child a fifty percent chance of being heterozygous, or brown-eyed, a twenty-five percent chance of being homozygous dominant, or brown-eyed, and a twenty-five percent chance of being homozygous recessive, or blue-eyed. This can be determined by a Punnett Square, which is a visual representation of trait distributions.
Another example of a trait that can be laid out like this is the ability to curl your tongue. We will say that the ability to curl your tongue is dominant (C) and the inability to curl your tongue is recessive (c). Classical Mendelian genetics dictates that if your parents are both homozygous dominant, then all offspring will be able to curl their tongues. If the parents are homozygous recessive, then none of the offspring will be able to curl their tongues. If the parents are heterozygous, then the twenty-five percent will not be able to curl their tongues and seventy-five percent will be able to curl their tongues.
Not only did Mendel prove that the blending hypothesis was invalid, but he also provided a method to predict the outcome of the genes of the offspring by utilizing Punnett squares. After Mendel proved this he also proved that allele pairs segregate independently. Because of this, your eye color has no effect on your hair color. This is important, because without this, one faulty gene could alter your entire body composition! Mendel proved this with his peas as well when he simultaneously studied the shape of the pea and the color of the pea. He determined that the alleles for each of these traits did not affect each other. This can be represented in a dihybrid Punnett square as seen to the right. As you can see, the color expressed by the pea does not affect the shape expressed by the pea.
These Punnett Squares show the variations on the genotypes and the chances of the gene being expressed as a certain phenotype. While this may seem trivial, this ability to predict how offspring will turn out is vital. Mendelian genetics began on a small level of crossing two single traits in a monohybrid Punnett Square. Mendel paved the way for scientists to uncover why certain genetic impairments act the way they do. Deafness, for example is a recessive trait; therefore, through Mendelian genetics scientists could determine why deafness could not be present in the parents but was present in the child. This was because the parents could be heterozygous and both pass on the recessive allele, causing the offspring to be deaf. This is one of the great applications of Mendelian genetics that has truly led to bettering the knowledge of genetics as a whole.
You were created by the ideas that the laws of Gregor Mendel convey. Your body started out as a single cell, a combination of a sperm cell and an egg cell. You not a clone of your parents, but you are your own individual with both the same and unique traits from each parent. This allows for genetic diversity in the population, which allows for each generation to become stronger than the last.
So yes, Mendelian genetics unlocked the study of genes and DNA to the rest of the scientific community. Those pea plants spurred curiosity, and in turn, changed Gregor Mendel into the properly named father of genetics. Did he figure out every aspect of genetics? No, of course not, but Gregor Mendel did build the groundwork for other scientists to build upon his work, which is science at its best.
We regret to announce the Functional Genetics Boot Camp will not be offered in summer 2022. We recommend you check out our upcoming Quantitative Genomics training, or subscribe for updates to hear when the Functional Genetics Boot Camp will be offered again.
The Functional Genetics Boot Camp is a two-day intensive boot camp of seminars and hands-on analytical sessions to provide an overview of concepts and data analysis methods for computational integration of genome and transcriptome data to characterize molecular effects of genetic variants.
Genetic studies in humans have led to discovery of thousands of loci and variants that associate to diverse traits and diseases. However, especially for variants in the noncoding genome, interpretation of functional effects of these variants has been a challenge. One of the approaches to address this challenge has been large-scale analysis of functional genomics data from human samples.
This two-day intensive workshop will provide a rigorous introduction to concepts and analytical methods to map and characterize molecular effects of genetic variants by integration of large-scale genetic and transcriptome data. Led by world experts in functional genomics, human genetics, and statistical methods development, the workshop will integrate seminar lectures with hands-on computer lab sessions to put concepts into practice. The workshop will focus on genetic effects on gene regulation, and guide the participants not only in analytical methods but also the use of major resource data sets like GTEx.
Training Director: Tuuli Lappalainen, PhD, Columbia University & New York Genome Center. Dr. Lappalainen is an Assistant Professor at the Department of Systems Biology at Columbia University and at the New York Genome Center. Her research focuses on molecular effects of genetic variants by integration of genome and transcriptome data sets.
Franois Aguet, PhD, Broad Institute. Dr Aguet is a postdoctoral researcher at the Broad Institute. He is a lead analyst of the Genotype Tissue Expression project, and a specialist in processing very large data sets in human genomics.
Yufeng Shen, PhD, Columbia University. Dr Shen is an Assistant Professor at the Department of Systems Biology at Columbia University. He is an expert in computational and statistical methods to study rare disease variation in human genomes.
"The Functional Genetics Boot Camp was extremely helpful and complete. I was pleasantly surprised by the well-organized program and interesting talks. Dr. Lappalainen and her team made a wonderful job! I'm happy that I had the chance to attend this course." - Postdoc at the University of California, San Francisco, 2020
"The Columbia Functional Genetics Boot camp had a great mix of conceptual lectures and practical tutorials and labs. The instructors all communicated clearly and encouraged questions from participants." - Student at the University of Kentucky, 2020
"I appreciated the presenters' ability to speak clearly and explain concepts clearly. Usually trainings like these feel as if they are taught in a different language. As a non-geneticist, I was able to learn a few things. Great job!" - Postdoc at the UNC Chapel Hill, 2020
"This workshop provides very nice insight of eQTL analysis, allele specific expression analysis, GWAS and eQTL co-localization analysis, and very extensive introduction of GTEx resources. It also included keynote speakers who discussed how these techniques were used for their specific areas." - Academic Staff at the University of Maryland, 2020
"The Functional Genetics Boot Camp was a really well run course, with an outstanding dive into eQTL analysis by Dr Lappalainen that was as informative as it was entertaining. The instructors did a great job of walking you through the field from basic concepts, all the way up through advanced topics." - Academic Staff at Columbia University Irving Medical Center, 2020
"The Functional Genetics Bootcamp was an excellent crash course to the fundamentals of eQTL, ASE, and co-localization analyses. It was also an excellent opportunity to interact with other researchers interested in functional genomics and to ask questions from the leading researcher on the field. I feel very confident in continuing analyzing my own datasets!" - Postdoc attendee, 2019
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