IB Biology HL Classifying Living Diversity Paper 1 & 2 ~11 min read

Comparing Genome Sizes

A human genome runs to about 3000 million base pairs. A small Japanese woodland plant carries around 150 000 million. If genome size measured how sophisticated an organism is, that plant would be running the planet.

📚 What you need to know

How much the numbers differ

OrganismCommon name or descriptionGenome size (million base pairs)
Enterobacteria phage T2A virus that infects E. coli0.17
Escherichia coliE. coli bacteria5
Drosophila melanogasterFruit fly140
Homo sapiensHuman3000
Paris japonicaJapanese canopy plant150 000

Those numbers span nearly a million-fold range, which is impossible to draw on a normal scale. Plotting them on a scale where each step is ten times the last one makes the pattern visible.

Genome sizes on a ten-times scale Each step along the bottom is ten times bigger than the step before it. phage T2 E. coli fruit fly human Paris japonica0.17 5 140 3000 150 000 0.1 1 10 100 1000 10 000 100 000 1 000 000 genome size / million base pairsA plant genome fifty times larger than a human one, on a scale that has to compress it.
Watch the scale carefully. Each bar looks only a little longer than the one above, but every tick along the bottom is a ten-fold jump.

C-values and units

Anyone can look up a genome size in a database. Sizes are given as a C-value:

C-value The haploid nuclear DNA content of an organism

Two sets of units are used, and questions often ask you to move between them.

UnitWhat it measuresThe relationship
Picogram (pg)The mass of DNA1 pg = 10–12 g
Megabase (Mb)The number of bases1 Mb = 106 bases
ConvertingMass to bases1 pg = 978 Mb
Notice that a C-value is the haploid content. A human body cell is diploid, so it holds about twice the C-value. If a question gives you a C-value and asks about a body cell, that factor of two is usually where the marks are.

Size against complexity

You would expect bigger, more complicated organisms to have bigger genomes. Plenty of examples refuse to cooperate:

OrganismGenome size (Mb)The problem
Human3100The baseline we would expect to be near the top
Hagfish4200A jawless fish, with a larger genome than a human
Common wheat17 000Over five times the human genome
Red wild einkorn wheat5000A closely related wheat with roughly a third of the DNA

Three things explain most of these surprises.

Polyploidy explains the wheat pair. Common wheat and red wild einkorn wheat are close relatives, and the difference in genome size is not about one being more advanced. Common wheat carries several full sets of chromosomes, so it has several copies of much the same information.

Worked examples

WE 1

Convert a C-value

A database gives the C-value of an organism as 3.5 pg. Calculate its genome size in megabases. (2 marks)

Step 1: the conversion factor 1 pg = 978 Mb Step 2: multiply 3.5 × 978 = 3423 3423 Mb, or about 3400 Mb keep the unit — a bare number scores nothing in a conversion question
WE 2

Compare two genome sizes

Using the table above, calculate how many times larger the Paris japonica genome is than the human genome. (2 marks)

Step 1: set up the ratio 150 000 Mb ÷ 3000 Mb Step 2: calculate = 50 50 times larger “how many times larger” means divide, and the answer has no unit
WE 3

Explain an unexpected result

A student is surprised that a hagfish has a larger genome than a human. Suggest two reasons for this. (3 marks)

Reason 1: what a genome contains A genome contains all of an organism’s DNA, including non-coding sequences, so a larger genome does not mean more genes. Reason 2: the assumption behind the surprise Genome size is not related to complexity, and our idea of what makes an organism complex may itself be wrong. Adding weight Other examples show the same thing, such as common wheat having a far larger genome than either species. Genome size measures DNA, not sophistication mention polyploidy if the organism in the question is a plant

💡 Exam tips

⚠ Common mistakes

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

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