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A population of laboratory mice was weighed at the age of six weeks (full adult weight) and found to have a mean weight of 20 g. The narrow heritability of weight gain \(\left(h^{2}\right)\) is known to be 0.25 in this laboratory strain. If mice weighing 24 g are selected and mated at random, what is the expected mean weight of the next generation?

Short Answer

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Answer: The expected mean weight of the next generation of laboratory mice is 21 g.

Step by step solution

01

Identify Given Information and the Target Variable

We are given: 1. Mean weight of adult mice: 20 g 2. Narrow heritability (\(h^2\)): 0.25 3. Selected mice weight: 24 g Our goal is to find the expected mean weight of the next generation.
02

Calculate the Selection Differential

The selection differential (S) is the difference between the mean weight of the selected mice and the mean weight of the entire population. In our case: S = 24 g (selected mice) - 20 g (entire population) = 4 g
03

Apply the Narrow Heritability

The narrow heritability (\(h^2\)) represents the proportion of the phenotypic variance (in our case, weight) that is due to additive genetic factors. We can find the expected response to selection (R) using the formula: R = \(h^2\) × S Using the given values: R = 0.25 × 4 g = 1 g
04

Calculate the Expected Mean Weight of the Next Generation

Now we can find the expected mean weight of the next generation of mice by adding the response to selection (R) to the original mean weight of the population. Expected mean weight of the next generation = Current mean weight + R Expected mean weight of the next generation = 20 g (mean weight of the original population) + 1 g (Response to selection) = 21 g The expected mean weight of the next generation of mice is 21 g.

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Key Concepts

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

Response to Selection
When we select certain organisms with desired traits for reproduction, we cause a change in the overall genetic makeup of the population. This change is quantified as the 'response to selection' (R). It represents the degree to which a trait's average value in a population changes from one generation to the next as a result of selection.

In our exercise, we were looking at a population of laboratory mice, aiming to calculate the expected mean weight of their offspring after selecting heavier mice for breeding. Using the formula R = \(h^2\) \times S, we found that the response to selection was 1 g. This implies that, on average, the next generation will be heavier than the previous one by 1 g, solely due to the selective breeding of heavier mice.
Selection Differential
The selection differential (S) is the measure of how selective the breeding process is. Specifically, it is the difference between the mean trait value of the selected individuals and that of the general population.

In the given exercise, the selection differential was calculated as the difference in weight between the selected mice (24 g) and the population average (20 g), resulting in a 4 g difference. This 4 g selection differential quantifies the intensity of our selection for heavier mice, setting the stage for how much change we can anticipate in the population's weight as a result of our selective breeding practices.
Phenotypic Variance
Variation in traits like weight in a population is referred to as phenotypic variance. It encompasses differences due to both genetic factors and environmental influences. In the context of genetics, only a portion of this variance is heritable, meaning that it can be passed down from parents to offspring.

This heritable portion of the variance is captured by the heritability estimate (\(h^2\)), which in our mouse example was given as 0.25. The heritability tells us that 25% of the weight variance in these mice can be attributed to genetic differences that can respond to selection. Understanding phenotypic variance is crucial as it informs us about how much a trait can potentially change under selective breeding.
Genetic Factors in Weight
Genetic factors play a critical role in determining the weight of organisms, including our laboratory mice. In genetics, these factors are recognized by estimating the narrow heritability (\(h^2\)), which in our case is 0.25. This number indicates that a quarter of the variability observed in the mice's weight can be explained by the additive effect of genes passed on from the parents.

However, it's important to remember that weight is not solely determined by genetics. Environmental factors and their interaction with genetics also play a significant role. Thus, while we can predict an average increase in weight due to selective breeding for heavier mice, individual weights will still vary around this new average due to both genetic diversity and environmental factors.

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Most popular questions from this chapter

An inbred strain of plants has a mean height of \(24 \mathrm{cm} .\) A second strain of the same species from a different geographical region also has a mean height of \(24 \mathrm{cm}\). When plants from the two strains are crossed together, the \(\mathrm{F}_{1}\) plants are the same height as the parent plants. However, the \(\mathrm{F}_{2}\) generation shows a wide range of heights; the majority are like the \(P_{1}\) and \(F_{1}\) plants, but approximately 4 of 1000 are only \(12 \mathrm{cm}\) high, and about 4 of 1000 are \(36 \mathrm{cm}\) high. (a) What mode of inheritance is occurring here? (b) How many gene pairs are involved? (c) How much does each gene contribute to plant height? (d) Indicate one possible set of genotypes for the original \(P_{1}\) parents and the \(F_{1}\) plants that could account for these results. (e) Indicate three possible genotypes that could account for \(\mathrm{F}_{2}\) plants that are \(18 \mathrm{cm}\) high and three that account for \(\mathrm{F}_{2}\) plants that are \(33 \mathrm{cm}\) high.

Two different crosses were set up between carrots (Daucuscarota) of different colors and carotenoid content (Santos, Carlos A. F. and Simon, Philipp W. 2002. Horticultura Brasileira 20). Analyses of the \(\mathrm{F}_{2}\) generations showed that four loci are associated with the \(\alpha\) carotene content of carrots, with a broad-sense heritability of \(90 \% .\) How many distinct phenotypic categories and genotypes would be seen in each \(\mathrm{F}_{2}\) generation, and what does a broad-sense heritability of \(90 \%\) mean for carrot horticulture?

A 3 -inch plant was crossed with a 15 -inch plant, and all \(\mathrm{F}_{1}\) plants were 9 inches. The \(F_{2}\) plants exhibited a "normal distribution," with heights of \(3,4,5,6,7,8,9,10,11,12,13,14,\) and 15 inches. (a) What ratio will constitute the "normal distribution" in the \(\mathrm{F}_{2}\) ? (b) What will be the outcome if the \(F_{1}\) plants are testcrossed with plants that are homozygous for all nonadditive alleles?

In this chapter, we focused on a mode of inheritance referred to as quantitative genetics, as well as many of the statistical parameters utilized to study quantitative traits. Along the way, we found opportunities to consider the methods and reasoning by which geneticists acquired much of their understanding of quantitative genetics. From the explanations given in the chapter, what answers would you propose to the following fundamental questions: (a) How can we ascertain the number of polygenes involved in the inheritance of a quantitative trait? (b) What findings led geneticists to postulate the multiplefactor hypothesis that invoked the idea of additive alleles to explain inheritance patterns? (c) How do we assess environmental factors to determine if they impact the phenotype of a quantitatively inherited trait?? (d) How do we know that monozygotic twins are not identical genotypically as adults?

While most quantitative traits display continuous variation, there are others referred to as "threshold traits" that are dis- tinguished by having a small number of discrete phenotypic classes. For example, Type 2 diabetes (adult-onset diabetes) is considered to be a polygenic trait, but demonstrates only two phenotypic classes: individuals who develop the disease and those who do not. Theorize how a threshold trait such as Type 2 diabetes may be under the control of many polygenes, but express a limited number of phenotypes.

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