mRNA analysis involves isolating messenger RNA to produce cDNA (complementary DNA). This method is often easier than genomic DNA extraction because mRNA is abundant in the cytoplasm.
Amino acid sequencing compares the primary structure of functional proteins, such as Cytochrome C or Haemoglobin. Similarities in these sequences reflect shared genetic instructions.
Because the genetic code is degenerate (multiple codons can code for the same amino acid), protein comparisons are slightly less precise than DNA comparisons, as they may hide 'silent' mutations.
| Feature | DNA Sequencing | Amino Acid Sequencing |
|---|---|---|
| Sensitivity | Detects every single mutation. | Misses silent mutations. |
| Scope | Includes introns and non-coding regions. | Only reflects expressed exons. |
| Precision | Highest; distinguishes very close species. | Moderate; better for distant relationships. |
| Ease of Use | Requires complex extraction. | Proteins are often easier to isolate. |
Step 1: Data Collection: Obtain DNA or protein sequences for a specific gene or protein across multiple species.
Step 2: Alignment: Use computer algorithms to align sequences, identifying matching regions and gaps caused by insertions or deletions.
Step 3: Comparison: Calculate the percentage of similarity. Higher similarity indicates a more recent common ancestor.
Step 4: Tree Construction: Apply the principle of Maximum Parsimony, which suggests that the simplest evolutionary path (the one with the fewest mutations) is the most likely.
Check for Degeneracy: If asked why DNA is more accurate than protein, always mention that DNA reveals silent mutations that do not change the amino acid sequence.
Interpret Nodes Correctly: Remember that a node on a tree represents a common ancestor, not one species turning into another. Species at the tips are contemporaries.
Avoid Anthropocentrism: Do not describe species as 'more evolved' or 'higher' than others; use terms like 'more recently diverged' or 'derived characteristics'.
Verify the Outgroup: In many diagrams, an 'outgroup' is used as a reference point to distinguish between ancestral and derived traits.