In human beings the statistical probability of getting either a male or female is 50:50. Give reason and explain with help of di
agram.
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Best Answer Will Be Marked BRAINLIEST!!
1 answer:
Answer:The statistical probability of getting either a male or female is 50:50 because,
Explanation:
1. The sex of a child is determined at the moment of fertilization. There are usually two types of sex chromosome, the X and Y chromosome. The male has XY chromosome, that is each sperm carries either an X chromosome or a Y chromosome while the female has XX chromosome, that is each ovum (egg) carries an X chromosome.
2. It's only one of the chromosome is released for fertilization. If the X type sperm unites with the ovum (which has only X chromosomes), then the genotype of the resultant child is XX which is a female but if a Y type sperm unites with the ovum, the result is an XY genotype which is a male.
See the attached diagram for more information
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The mutation is a change in the nucleotidic sequence. In the exposed example, Patient 1: nucleotide 143, T<u>T</u>C⇒T<u>G</u>C. Patient 2: nucleotide 143, T<u>T</u>C⇒T<u>C</u>C. Patient 3: nucleotide 147, TT<u>C</u> ⇒ TT<u>G</u>.
<h3>What is a mutation?</h3>
A mutation is a change or alteration in DNI sequences that introduce new variants.
Many of these are eliminated, but some of them might succeed and be incorporated into each individual.
These mutations are the ones that have been selected by natural selection.
<h3>Solving the problem</h3>We know that each sequence initiates with nucleotide number 103 and ends in nucleotide 162.
So first, we will number the nucleotides, from 103 to 162. Each nucleotide has a number in increasing order.
Now, we will identify the mutations in each of the strands by comparing them with the wild-type sequence. The mutation occurs in one of the nucleotides, so we must look for the change in the bases.
Finally, we will identify the nucleotide location of each mutation.
nucleotide wild-type mutated
<u> location nucleotide nucleotide </u><u> </u>
Patient 1 143 TTC TGC
Patient 2 143 TTC TCC
<u>Patient 3 147 TTC TTG </u>
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In the attached files you will find an image for a better understanding.
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