IB Biology SL Topic 3 — Classifying Living Diversity Paper 1 & 2 Core idea ~12 min read

Uses of Genome Sequencing

Sequencing a genome used to take years and cost a fortune. Now it is routine, and the same technique answers two very different kinds of question: how species are related, and how one particular patient should be treated.

📚 What you need to know

Sequencing and evolutionary relationships

Phylogenetics groups organisms by shared common ancestry rather than by how similar they look. Sequence data is far better evidence for this than appearance, because looks can mislead.

The logic is simple. Mutations build up in DNA at a rough background rate. Two species that split recently have had less time to accumulate differences, so their sequences are still very alike. Two species that split long ago have drifted much further apart.

The rule that runs this whole page more similar sequences → more recent common ancestor
A phylogenetic tree from sequence data Each join is a shared ancestor – the further left, the further back in time human chimpanzee gorilla orangutan gibbon old world monkey The more similar the DNA, the more recently two species split apart. Human and chimp share the most recent join, so their DNA is the most alike.
Read it right to left. Every dot is a point where one ancestral population split into two, and the percentage difference in DNA grows the further left you go.
Why cytochrome c? A protein used for comparison has to be present in a wide range of organisms and show enough variation between them to be informative. Cytochrome c fits both: it is essential to aerobic respiration, so almost everything has it, and its sequence differs just enough between species to be useful.
Sequencing really comes into its own in two awkward cases. When two species look almost identical, DNA can tell them apart. And when a species is extinct, ancient DNA can still place it on the tree — something no amount of staring at fossils could do.

Sequencing and personalised medicine

The Human Genome Project sequenced the entire human genome and stored the results in databases. That opened the door to genomic medicine: using information about genes to design and choose treatments.

UseHow it worksBenefit
Targeted drug designKnowing a disease protein’s sequence and structure allows a drug to be designed against it, e.g. an enzyme inhibitorMore effective drugs with fewer unpleasant side-effects
Genetic screeningAn individual’s genome is checked for mutations linked to particular diseasesHigh-risk individuals identified, so preventative steps can be taken
Predicting drug responseA patient’s genotype is used to work out how well they will respond to a treatmentTreatment chosen to suit that individual
Lifestyle decisionsGenetic risk of cancers or heart disease is combined with clinical informationInformed choices about diet and lifestyle

A concrete example: certain mutations are known to raise the risk of developing breast cancer sharply. Someone who knows they carry such a mutation can choose preventative surgery, or be monitored far more closely, long before any disease appears.

What all this sequence data is for One technique, three quite different jobs Evolution Medicine Identification compare sequences build family trees date the splits design targeted drugs predict disease risk choose treatments tell lookalikes apart use ancient DNA confirm new species Sequencing is now fast and cheap enough to be used routinely. The same data answers questions about deep time and about one patient.
Notice how far apart the two main uses are. The technique is identical; only the question being asked changes.

Worked examples

WORKED EXAMPLE

Species A and B differ in 2% of the bases of a shared gene. Species A and C differ in 9%. State which pair shares a more recent common ancestor, and explain. [3]

Step 1: compare the differences A and B differ by 2%; A and C differ by 9% Step 2: apply the rule More similar sequences mean fewer accumulated mutations since the two lineages split. Step 3: conclude A and B have had less time to accumulate differences. A and B share the more recent common ancestor
WORKED EXAMPLE

Explain why scientists compare several proteins rather than one when working out how closely two species are related. [2]

Step 1: the problem with one protein A single protein may have mutated unusually fast or unusually slowly, giving a misleading result. Step 2: the fix Using multiple proteins or multiple regions of the genome averages out that variation. More regions compared = a more accurate estimate of relatedness
WORKED EXAMPLE

Outline two ways in which genome sequencing can benefit a patient. [4]

Benefit 1: targeted treatment Knowing the sequence and structure of a protein involved in a disease allows drugs to be designed against it, which means fewer side-effects. Benefit 2: risk prediction Screening can identify mutations that raise the risk of a disease, so preventative measures or closer monitoring can start early. Better-targeted drugs, and earlier action on risk 4 marks means two points, each with an explanation – not four separate names

💡 Exam tip

⚠ Common mix-up

Up next: Classification & Cladistics — how the tree of life is actually built from this evidence, and why groups sometimes get rearranged.

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