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What is the difference between a Mendelian multifactorial trait and a polygenic multifactorial trait?

Short Answer

Expert verified
The main difference lies in the number of gene pairs controlling the trait and the rules of inheritance. Mendelian Multifactorial traits are controlled by a single gene pair, influenced by the environment, and follow Mendel's laws of inheritance. Polygenic Multifactorial traits are controlled by multiple gene pairs, influenced by the environment, do not strictly adhere to Mendel's laws and show a continuous range of expression.

Step by step solution

01

Define Mendelian Multifactorial traits

Mendelian Multifactorial traits are controlled by single gene pairs but their expression is influenced by the surroundings. They follow Mendel's laws of inheritance. Disorders such as sickle cell disease, cystic fibrosis and Tay-Sachs disease are examples of Mendelian Multifactorial traits.
02

Define Polygenic Multifactorial traits

Polygenic Multifactorial traits, as the name suggests, are controlled by more than one gene pair and their expression is also influenced by environmental factors. These traits show continuous variation and do not strictly follow Mendel's laws. Examples include height, skin color, and predisposition to diseases like diabetes or heart disease.
03

Highlight Differences

The key differences between them include the number of gene pairs controlling the trait; Mendelian Multifactorial traits are controlled by single gene pairs while Polygenic Multifactorial traits are controlled by multiple gene pairs. Also, Mendelian traits follow Mendel's laws of inheritance whereas Polygenic traits do not.

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Key Concepts

These are the key concepts you need to understand to accurately answer the question.

Mendelian multifactorial traits
Understanding Mendelian multifactorial traits is crucial when studying genetics. These traits are fascinating because, although they are determined by a single gene pair, their manifestation can be influenced by environmental factors. Examples such as sickle cell disease, cystic fibrosis, and Tay-Sachs disease provide context. In these disorders, a single gene mutation has a significant impact, but factors like diet, altitude, or pollutants could potentially influence the severity and symptoms of the condition. It is a reminder that while our genes hold the blueprint, our environment can dictate the outcome of certain genetic expressions.

For instance, individuals with sickle cell trait tend to experience more severe symptoms of the disease if they are in low oxygen environments, highlighting the intersection between genetic predisposition and environmental circumstances.
Polygenic multifactorial traits
Polygenic multifactorial traits move us towards the complexities of genetics where traits are not the product of a single gene pair, but rather the combined effect of multiple genes. These traits, including characteristics like height, skin color, and even the risk for certain diseases such as diabetes or heart disease, represent the diversity of human features and tendencies. The key concept to grasp with polygenic traits is the concept of continuous variation. Unlike the discrete outcomes often seen in Mendelian traits, polygenic traits are more like a spectrum, where individuals can exhibit a wide range of possible phenotypes. Environmental interactions further add to this complexity, making it a fascinating area of genetic study.
Mendel's laws of inheritance
The foundation of classical genetics is Mendel's laws of inheritance, which consist of the Law of Segregation and the Law of Independent Assortment. Through his meticulous pea plant experiments, Mendel discovered that genes come in pairs and are separated during the production of gametes, then randomly reunited at fertilization. This is the Law of Segregation. Additionally, the Law of Independent Assortment states that different gene pairs are passed to offspring independently if the genes are on different chromosomes. Therefore, traits are inherited independently of each other, giving rise to the genetic variety seen within populations. This applies neatly to Mendelian traits but becomes more complex with polygenic traits where multiple genes are involved.
Genetic disorders
Genetic disorders offer an essential insight into how genetic abnormalities can impact individuals and families. These disorders, which range from single-gene mutations to more complex polygenic diseases, highlight the vulnerability of our genetic code. Some disorders are due to mutations in a single gene (monogenic), while others are the result of anomalies across multiple genes and their interactions with the environment (multifactorial). The study of these disorders not only aids in the understanding of genetic principles but also motivates the development of treatments and preventative strategies – illustrating the profound impact of genetics on health and disease management.
Environmental factors in genetics
Environmental factors play a significant role in genetics and must be considered when evaluating the expression of traits. Factors such as nutrition, exposure to toxins, physical activity, and stress can modify how genes are expressed without altering the genetic code itself. This interplay between genes and environment underpins phenotypic plasticity – the ability of an organism to change its phenotype in response to environmental changes. Acknowledging these external influences helps us appreciate the complexity of genetic expression and reminds us that our lifestyle decisions can significantly influence our genetic health outcomes.
Continuous variation in genetics
Continuous variation in genetics is a concept that explains the smooth range of differences in certain traits across a population. Unlike the distinct and predictable outcomes of Mendelian inheritance, continuous variation is typical of polygenic traits where the combined effect of many genes results in a continuous distribution of phenotypes, like the varying shades of skin tone or heights in humans. This concept is critical in understanding human diversity and is used in various fields, from anthropology to agriculture, to predict and analyze traits within populations. Furthermore, understanding continuous variation is fundamental in fields like quantitative genetics and is pivotal in breeding programs that aim to enhance certain traits in crops and livestock.

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