IB Biology SL Topic 3 — Classifying Living Diversity Paper 1 & 2 Practical skill ~10 min read

Comparing Genome Sizes: Skills

You would expect a complicated organism to need a big genome. The data says otherwise, and the reasons why are more interesting than the pattern would have been.

📚 What you need to know

The range of genome sizes

Genome sizes across the living world Each step along the axis is ten times bigger than the last phage T2 E. coli fruit fly human canopy plant 0.1 1 10 100 1000 10 000 100 000 genome size (millions of base pairs, log scale) Genome size does not track how complex an organism looks. A Japanese canopy plant has a genome around 50 times larger than yours.
The scale has to be logarithmic. On a normal axis the phage, the bacterium and the fruit fly would all sit on top of each other at zero.
OrganismWhat it isGenome size (million base pairs)
Enterobacteria phage T2A virus that infects E. coli0.17
Escherichia coliBacterium5
Drosophila melanogasterFruit fly140
Homo sapiensHuman3000
Paris japonicaJapanese canopy plant150 000

C-values and units

Databases record genome size as a C-value: the amount of DNA in a haploid nucleus. It can be given two ways.

The conversion you need 1 pg = 978 Mb   •   1 pg = 10−12 g   •   1 Mb = 106 bases
Why measure DNA by mass at all? Because before sequencing existed you could weigh the DNA extracted from a nucleus long before you could count its bases. The picogram figures are a leftover from that era, and the 978 conversion is how the old and new measurements are joined up.

Why the pattern breaks

Compare these three and the expectation collapses immediately:

Even close relatives can differ wildly. Common wheat has a genome of roughly 17 000 Mb while red wild einkorn wheat has around 5000 Mb — more than a threefold difference between two wheats.

🧩 Three reasons the numbers surprise you

  1. The genome is all the DNA, not just the coding parts. A large genome can be mostly non-coding.
  2. Polyploidy. Plant cells can carry many complete sets of chromosomes, multiplying the genome size without adding new genes.
  3. “Complexity” is our word, not nature’s. We tend to equate it with brain function, but there are many other ways of being complex.

Worked examples

WORKED EXAMPLE

A species has a C-value of 3.5 pg. Calculate its genome size in megabases.

Step 1: recall the conversion 1 pg = 978 Mb Step 2: multiply 3.5 × 978 = 3423 About 3423 Mb that is roughly a human-sized genome
WORKED EXAMPLE

Using the table, calculate how many times larger the human genome is than the E. coli genome, and how many times larger Paris japonica is than the human genome.

Step 1: human compared with E. coli 3000 ÷ 5 = 600 Step 2: Paris japonica compared with human 150 000 ÷ 3000 = 50 600 times larger, and 50 times larger a plant beats us by 50-fold – the perfect example for “size is not complexity”
WORKED EXAMPLE

A student is surprised that the hagfish genome (4200 Mb) is larger than the human genome (3100 Mb). Suggest two reasons why genome size does not reflect complexity. [2]

Reason 1 The genome includes all DNA, not only coding DNA, so a large genome may contain a great deal of non-coding sequence. Reason 2 Our idea of “complexity” is not a scientific measure — we tend to judge it by brain function, which is only one kind of complexity. More DNA does not mean more genes, and more genes does not mean more complex for plants, polyploidy would be a third valid reason

💡 Exam tip

⚠ Common mix-up

Up next: Uses of Genome Sequencing — what all this sequence data is actually for, from building family trees of species to choosing a patient’s medication.

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