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DerKrebs [107]
3 years ago
11

A researcher genetically engineers a mouse strain by deleting the mouse lyst gene and replacing it with the polar bear lyst gene

. Predict the most likely difference in phenotype of the transgenic mouse strain compared to the wild-type mouse strain. Justify your prediction.
Biology
2 answers:
irina [24]3 years ago
8 0

Answer:

I predict that the transgenic mouse fur will be lighter.

Explanation:

the most likely difference in phenotype of the transgenic mouse strain compared to the wild-type mouse strain is that The mouse fur will be lighter because the Polar bear lyst gene is known with its lack of pigment or white hair. since the mouses lyst gene has been deleted and it now has the polar bears lyst gene, its fur shows this characteristic of the polar bear, and makes it different from the wild mouse.

oksano4ka [1.4K]3 years ago
6 0

Answer:

The transgenic mouse must present fur without pigmentation, or with reduced pigmentation.

Explanation:

As seen in the question above, a group of scientists genetically engineers a mouse strain by deleting the mouse lyst gene and replacing it with the polar bear lyst gene. This will modify the genotype of the mice making them transgenic mice different from ordinary mice.

As you may already know, polar bears have pigment-free fur, for that reason, these animals have white fur, allowing them to camouflage themselves in the environment in which they live.

When the genes of these bears are not added to the genome of a mouse, we can expect the mouse fur to change, appearing without any type of pigmentation, becoming totally white, or, appearing lighter than normal.

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Answer:

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Write a paragraph on testing probability
VashaNatasha [74]

Explanation:

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This is written as...

P (E) =\frac{n(E)}{n(S)} \\

where...

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S= the number of trials

In biology experiments, hypotheses are formed based on research questions, and tested with the use of variables  to provide a particular outcome. Statistics allows for testing data for consistency with the hypothesis, while statistical probability testing can be used in experiments to determine a range of outcomes, from genetic inheritance, evolutionary rates to theoretical experimental results.

In these statistical models, probability distributions are functions that give probabilities for certain event outcomes within an experiment (a set of trials). These may be either continuous, taking a value within a range of two numbers; or discrete, which may be either of two specified values. Discrete probability distributions list each value that a random variable may possibly take on.

Further Explanation:

For example, two types of probability distributions are employed in experimental biology:

Binomial distributions, which are discrete distributions,  provide probability of a certain number of successful events for x  a random variable, in a specific number of trials, n; here, the probability of success of an individual trial is constant at P and only one of two outcomes are possible- this is sampling with replacement.

where...

b(x;  n, P)-the probability that an experiment of n trials results in x successes

nCx- the number of combinations of n things at r time

b(x;  n, P) = [ nCx ]* P^{x}  * (1-P)^{n-x}\\

<em>This is often used in determining potential outcomes before data collection.</em>

A type of continuous distribution, the student's t-test, compares standard deviations and means from two sets of samples or groups to check for significant differences between them.

t= \frac{(x_{1} - x_{2}) }{\sqrt{(\frac{(S_{1}) ^{2} }{n1} }+ (\frac{(S_{2}) ^{2} }{n2 }}

where...

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The null and alternate hypotheses typically theorize the likelihood and significance of certain event outcome probabilities. Critical values of t, along with degrees of freedom are used to determine a range of probable outcomes; probability or p- values along with this range, are used to determine whether either hypothesis is rejected or accepted.

<em>For instance, significant differences between an experimental control and a specific treatment group would show that these occurrences are not due to sampling errors or random chance...</em>

Learn more about calculating probability at brainly.com/question/4021035

Learn more about calculating event probability at brainly.com/question/6649771

#LearnWithBrainly

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