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3 years ago

Explain the difference between each of the following substitution mutations:

1 answer:

5 0

Answer: silent mutation: a nucleotide base in a codon is replaced with a different base BUT the resulting amino acid isn’t affected.

Missense mutation: similar to a silent mutation, the only difference is that the switch of the nucleotide DOES result in a DIFFERENT amino acid

Nonsense mutation: a nucleotide base is changed, but that change results in a premature stop of translation

(Remember that after transcription, you are left with a strand of mRNA that Is then translated into a protein. The mRNA is read in increments of three nucleotide bases (A,U,G, or C) which is called a codon. That codon makes a single amino acid, and a strand of amino acids makes a protein)

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You have been hired as a field assistant for a researcher interested in the evolution of flower characteristics in orchids. Comp

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Answer:

$\text{Present a flower with one characteristic changed to the normal pollinator. }$ $\text{As a control, present a flower with no characteristics changed to the normal pollinator}$

$\text{Record any measure of pollination success}$

$\text{Repeeat for flowers with other characteristics changed}$

$\text{Analyze the data to determine which altered characteristics affect pollination }$ $\text{success the most. This characteristic will be the result of the experiment.}$

Explanation:

The missing information is attached below.

$\text{Present a flower with one characteristic changed to the normal pollinator. }$ $\text{As a control, present a flower with no characteristics changed to the normal pollinator}$

For the control, you'll need something you're already familiar with. In this scenario, a normal flower with no changes in characteristics is the best control. And if no data is accessible, you still have data on the success rate of a typical flower, which can be used as a guideline. And, for the initial configuration, you can only adjust one characteristic so it would be easier to maintain track of and analyze the data gathered.

$\text{Record any measure of pollination success}$

Since the aim of your experiment is to examine the influence of flower characteristics on pollination performance, you should keep track of the active pollination events. To have more accurate results, this would require listing the total number of plants that were to be pollinated.

$\text{Repeeat for flowers with other characteristics changed}$

Once you've completed the initial examination, you'll need to run tests on various characteristics to see whether they have some impact on pollination performance. To see the importance of different characters on pollination, change only one trait in flowers; if you'd like to research combined results, create pairs and change them together.

$\text{Analyze the data to determine which altered characteristics affect pollination }$ $\text{success the most. This characteristic will be the result of the experiment.}$

Your outcome is also the one that has gotten the most constructive or negative reviews. If some changed characteristic significantly affected the number of pollination efficiency, that is your outcome, because that is what you can mention as a good result and pollination enhancer.

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3 years ago