IB Biology HL Topic 4 — Genetics, Inheritance & Change Paper 1 & 2 HL detail ~9 min read

Conserved Sequences

Mutations land anywhere, at random, over billions of years. So you would expect DNA sequences to drift apart until nothing matched. Yet some stretches are almost identical in you, in yeast and in bacteria. Something is holding them still — and biologists have two competing explanations for what.

📘 What you need to know

What “conserved” actually means

Line up the same gene from several species and compare the bases. In most regions you will find plenty of differences, accumulated over millions of years. But in some regions the sequence barely changes at all — sometimes not by a single base between organisms as different as a human and a yeast cell.

Those regions are conserved. Where the similarity holds over very long evolutionary periods, they are highly conserved.

The same gene in four very different species One stretch has not changed; the stretch beside it has conserved sequence sequence that varies Human Mouse Yeast Bacterium GTCAAGCTT GTCAAGCTT GTCAAGCTT GTCAAGCTT AGGCTTACC AGCCTTAGC TGGATTACA CACGTTGCA Identical across species usually means essential to survival The varying stretch is under far less pressure to stay the same.
These sequences are illustrative, not real data — but the pattern is exactly what sequence comparisons show.

Which sequences are conserved?

Look at the list and a theme jumps out: every one of them is part of a process that no cell can live without.

Notice the pattern. These are the oldest, most fundamental jobs a cell does. They were working before animals, plants and fungi separated, which is why the same sequences turn up in all of them.

Two hypotheses for why

Biologists have proposed two mechanisms. They are not mutually exclusive — both may contribute — but you should be able to state each clearly.

Two explanations for the same observation Mutations are removed, or mutations never happen Functional requirements the protein is essential a mutation kills the cell so it is never passed on selection removes it Slower mutation rates coding regions are proofread and repaired far more often errors never survive One removes mutations after they happen, the other prevents them Both would produce sequences that look unchanged when we sequence them.
The two hypotheses predict the same data, which is why both are still discussed. Good science often looks like this.

Hypothesis 1: functional requirements

Conserved and highly conserved sequences sit inside genes coding for proteins that an organism cannot survive without — the machinery of transcription, translation and respiration.

Follow the logic through. If one of those genes mutates, the essential protein is faulty. The process it drives cannot happen, so the cell dies. A dead cell passes nothing to the next generation, so that mutation never appears in later organisms. Every generation, the same filter operates, and the sequence appears frozen.

Put another way: natural selection maintains the conserved sequence by necessity. The mutations do occur — they just never make it through.

Hypothesis 2: slower mutation rates

The second suggestion is that these regions genuinely mutate less. DNA repair and proofreading mechanisms are very active in coding regions and in genes with high functionality, so errors there are spotted and corrected far more often.

On this view, the mutations are not surviving because they were never allowed to become permanent in the first place — they are corrected before they can show up in sequenced DNA. Error correction is much less active in non-coding DNA, which is exactly where higher mutation rates are found.

How mutation rate is measured base pair changes per gene per generation  •  or per genome per generation
Do not present these as right and wrong. IB wants you to recognise that two hypotheses can fit the same evidence, and to say what each one claims. If you can add that they might both contribute, better still.

Worked examples

WORKED EXAMPLE

Spotting the conserved gene

Gene P is 96% identical between humans and yeast. Gene Q is 41% identical between the same two species. Identify which is conserved and suggest what this implies about the protein it codes for.

Step 1: Compare the similarity Gene P (96%) has barely changed since humans and yeast last shared an ancestor. Step 2: Apply the definition Minimal change over long evolutionary time = a conserved sequence. Step 3: Suggest the implication Its protein is likely to be essential for survival, so any mutation is lethal and never passed on. Gene P is conserved; its protein is probably essential “Suggest” invites a reasoned inference, not a certainty — keep the word “likely” in.
WORKED EXAMPLE

Explaining conservation of cytochrome c

The sequence coding for cytochrome c is highly conserved across a very wide range of species. Explain this using the functional requirements hypothesis.

Step 1: State the protein’s role Cytochrome c is involved in cellular respiration, which every one of these organisms depends on. Step 2: Consider a mutation A change to the sequence would change the amino acid sequence, the folding and the shape, so the protein would not work. Step 3: Follow the consequence Respiration would fail and the cell would die, so the mutation is not passed to future generations. Step 4: State the result Natural selection removes every variant, so the original sequence is maintained. Mutations in it are lethal, so only the unchanged sequence is inherited Notice this is the same sequence-shape-function chain you used for mutations.
WORKED EXAMPLE

Calculating a mutation rate

Comparing the same gene in two species reveals 6 base pair differences that have accumulated over 3 million years of separate evolution. Calculate the mutation rate in base pair changes per million years.

Step 1: Set up the calculation Rate = number of changes ÷ time Step 2: Substitute 6 ÷ 3 = 2 2 base pair changes per million years Give the units. A bare number will not score on a “calculate the rate” question.

💡 Exam tip

⚠ Common mix-up

That completes Mutations & Gene Editing. Test yourself by joining it to the previous chapter: a base changes → a codon changes → an amino acid changes → a protein changes → an organism changes → a population changes. Every page in these two chapters is one step of that sentence.

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