AP® Biology review sheet from Aim for Five (aimforfive.com/bio/units/7/7-8)
Unit 7 · Topic 7.8
7.8 Continuing Evolution
Evolution didn't stop in the past; every species is still evolving. You can see it in genomes changing over time, in continuous change in the fossil record, in resistance to antibiotics, pesticides, herbicides and chemotherapy drugs, and in pathogens that evolve and cause new diseases.
Key terms
- antibiotic resistance
- pesticide resistance
- emerging disease
- genome
All species are still evolving
Mutations keep arising, populations keep facing selection and drift, and environments keep changing, so evolution is ongoing in every living species, including humans. It's easiest to see in organisms with short generation times and huge populations, such as bacteria, viruses and insects, because many generations pass quickly.
Four kinds of evidence
- Genomic changes over time: comparing DNA from the same population at different times shows allele frequencies shifting. In a long-running laboratory experiment begun in 1988, populations of E. coli have been tracked for tens of thousands of generations, and one population evolved the new ability to use citrate as food when oxygen is present after more than 30,000 generations.
- Continuous change in the fossil record: sequences of fossils through rock layers show gradual or stepwise changes in body form within lineages over time.
- Resistance: populations evolve resistance to chemicals people use to kill them, including antibiotics (bacteria), pesticides (insects), herbicides (weeds such as glyphosate-resistant pigweed) and chemotherapy drugs (cancer cells within a patient's body).
- Emerging diseases: pathogens evolve, and some gain the ability to infect new hosts or spread better. COVID-19, caused by the SARS-CoV-2 coronavirus, appeared in humans in late 2019, and new variants with mutations that spread more easily kept arising. Flu viruses change every year, which is why the flu vaccine is updated.
How antibiotic resistance evolves
In a large bacterial population, a few cells may already carry a mutation or a plasmid gene that lets them survive an antibiotic. When the antibiotic is used, susceptible cells die and resistant cells survive and divide. Within a short time, most of the population is resistant. Bacteria can also pass resistance genes to other bacteria, even of different species, through horizontal gene transfer such as conjugation (6.7), which speeds the spread.
This is why doctors try to prescribe antibiotics only when they're truly needed, and why overusing antibiotics, including in livestock, is a public health concern. Methicillin-resistant Staphylococcus aureus (MRSA) is a well-known resistant bacterium.
Designing investigations
Because evolution in microbes is fast, it can be studied directly. A strong experiment includes a control population grown without the selective agent, several replicate populations, and a measured change in a trait (such as survival at a given drug dose) or in allele frequency over generations. Questions on this topic often ask you to propose a follow-up experiment, such as testing whether resistance persists when the drug is removed or whether it spreads to a second species.
Worked examples
Try each one yourself first, then open the solution.
- Example 1
Proposing a new investigation
A lab grows bacteria with a low dose of an antibiotic for 200 generations and finds that the survival rate at a standard dose rose from 1% to 70%. Propose a follow-up experiment to test whether resistance has a cost, meaning it lowers fitness when the antibiotic is absent. Identify the independent and dependent variables and predict a result that would show a cost.
Show the solutionHide the solution
- Step 1: Question: do resistant bacteria grow worse than non-resistant bacteria when there's no antibiotic?
- Step 2: Design: grow equal starting numbers of resistant cells (from the evolved population) and non-resistant cells (from a frozen sample of the original population) together in the same flask without antibiotic. Run several replicate flasks.
- Step 3: Independent variable: strain (resistant vs. non-resistant). Dependent variable: the proportion of each strain after a set number of generations.
- Step 4: Controls: same medium, temperature and starting numbers, with no antibiotic.
- Step 5: Prediction showing a cost: the proportion of resistant cells declines over generations, because they reproduce more slowly without the drug.
Answer: Compete resistant and original strains in antibiotic-free medium in replicate flasks and measure the share of each over time; a falling proportion of resistant cells would show resistance carries a fitness cost.
Common mistakes
- Saying antibiotics cause bacteria to mutate in order to become resistant. Resistant variants already exist or arise randomly; the antibiotic selects for them.
- Saying a person becomes resistant to antibiotics. The bacteria population evolves resistance, not the human taking the drug.
- Thinking evolution only happens over millions of years. Resistance can evolve in months or years, and some changes are measurable in a lab within weeks.
On the exam
- Expect experimental scenarios where you propose a new investigation or identify controls. Include replicates, a control without the selective agent and a measurable outcome.
- When explaining resistance, use the full selection sequence: variation, selective pressure (the drug), differential survival and reproduction, and change in the population.
Connected topics
Videos
Check yourself
4 questions on 7.8 Continuing Evolution. Pick an answer to see if you got it, and why.
In a hospital, the fraction of infections caused by antibiotic-resistant bacteria rose from 5 percent to 40 percent over ten years of heavy antibiotic use. Which of the following best explains this trend?
A new strain of influenza virus appears each year, so the vaccine must be updated regularly. Which of the following best explains this?
| Year | Fields sampled | Fields with weeds resistant to the herbicide (%) |
|---|---|---|
| 2005 | 120 | 2 |
| 2008 | 120 | 15 |
| 2011 | 120 | 48 |
| 2014 | 120 | 81 |
Field survey data: farms in one region sprayed the same herbicide on their crops every year starting in 2000. Weed seeds from each field were tested for survival after spraying.
Spraying began in 2000, but in 2005 only 2 percent of fields had resistant weeds. Which of the following best explains why resistance was rare at first and then spread quickly?
Which investigation would best test whether a farmer could slow the spread of resistance by switching herbicides each year?
0 of 4 answered