Antibiotic & DDT Resistance
When penicillin reached hospitals in the 1940s and DDT was sprayed across malarial swamps, it looked like humans had finally beaten bacteria and mosquitoes. Within a decade, both were fighting back. Resistance is not the microbe "learning" to survive, it is natural selection running in fast-forward, with the chemical we invented acting as the selective pressure. This lesson reads the evidence for it.
Orient yourself
Make a prediction, scan the goals and the key terms, and see which misconception this lesson is built to fix.
Before You Read
warm-upA doctor gives a patient antibiotics. Most of the bacteria die, but a few survive and the infection comes back worse.
Before reading: did the antibiotic cause the surviving bacteria to become resistant, or were some already resistant before treatment? Write your answer and explain your reasoning.
Learning Intentions
goalsKnow
- That antibiotics and DDT act as human-induced selective pressures
- The sequence of natural selection that produces a resistant strain
- That resistance arises from pre-existing variation, not from the chemical
Understand
- Why overuse and incomplete courses accelerate resistance
- Why bacteria and mosquitoes evolve resistance so quickly
- How secondary-source data demonstrates resistance increasing over time
Can Do
- Analyse secondary-source data on rising resistance
- Explain resistance as natural selection step by step
- Evaluate the reliability of a secondary source on resistance
Scan these before reading
vocabMatch each term to its meaning: use the Key Terms card above.
- Antibiotic resistance
- DDT
- Human-induced selective pressure
- Resistant strain
- Secondary source
- Data collected and reported by someone else, which you analyse rather than gather
- A synthetic insecticide once widely used against malaria-carrying mosquitoes
- A population descended from rare survivors, in which the resistance trait is now common
- The ability of a bacterial strain to survive a drug that would normally kill it
- A selective pressure created by human activity
Misconceptions To Fix
watch outResistance Is Natural Selection in Fast-Forward
The same four steps as any natural selection, just very fast
Core Content
Resistance Is Natural Selection in Fast-Forward
+5 XPThe same four steps as any natural selection, just very fast
A resistant population is not produced by the drug; it is produced by selection acting on variation that already exists in the population.
The sequence is always the same: (1) random mutation produces variation, so a few bacteria are already resistant before any antibiotic is used; (2) the antibiotic is a selective pressure that kills the non-resistant majority; (3) the rare resistant survivors reproduce; (4) over generations the resistance allele becomes common and a resistant strain emerges.
Because bacteria reproduce roughly every 20 minutes and mosquitoes over a few weeks, this whole process, which takes thousands of years in large slow-breeding animals, can play out in a matter of years or even months. That short generation time is exactly why human-induced pressures drive resistance so visibly.
Pause, copy the highlighted four-step sequence into your book before moving on.
Resistance appears quickly in bacteria mainly because of their very short _____ time.
Two Case Studies: Bacteria and Mosquitoes
Different organisms, different chemical, identical logic
Two Case Studies: Bacteria and Mosquitoes
+5 XPDifferent organisms, different chemical, identical logic
We just saw the four-step sequence. That raises a question: does it really play out the same way for a bacterium and an insect? This card answers it → two real cases that share the exact same selection logic.
Antibiotic resistance in bacteria and DDT resistance in mosquitoes are two instances of one process, only the organism and the human chemical differ.
Text description
- 1 Mixed population: a few individuals are already resistant (dark); most are susceptible (grey).
- 2 The chemical is applied: the susceptible die (dashed outlines).
- 3 The survivors reproduce, giving a resistant strain.
Antibiotic resistance (bacteria, e.g. MRSA) and DDT resistance (mosquitoes, e.g. Anopheles) are two cases of the same process: a human chemical acts as a selective pressure, pre-existing resistant individuals survive and reproduce, and a resistant strain emerges, accelerated by overuse and short generation times.
Pause, copy the highlighted comparison into your book, noting one example organism for each case.
The DDT case in dates. DDT was deployed on a large scale against malaria vectors from the mid-1940s. Resistance in Anopheles mosquitoes was reported within about a decade, and by the 1960s it was widespread enough to be a major reason the global malaria eradication campaign was scaled back. Two things made it fast: mosquito generations are measured in weeks rather than years, and blanket spraying applied the pressure to entire populations at once with no untreated refuge in which susceptible individuals could persist.
Which factor most increases the rate at which resistance spreads through a population?
Apply it: Analyse a Secondary Source
Work the activity in your own book before you read on. This is the first point where you are on your own.
Activity 1
Analyse a Secondary Source
Pattern, Read data, then evaluate it
The data below are illustrative figures modelled on the shape of published surveillance trends, not a real dataset. They are here so you can practise the analysis; part (c) is where you say what you would need in order to trust a real one.
| Year | 2000 | 2008 | 2016 | 2024 |
|---|---|---|---|---|
| % resistant | 4 | 12 | 31 | 58 |
In your book: (a) describe the trend, (b) explain it using natural selection, and (c) evaluate the source, what would you want to know before trusting it (sample size, who collected it, region, methods)?
Evaluating the Evidence, and the Cost
Why this matters for medicine and public health
Evaluating the Evidence, and the Cost
+5 XPWhy this matters for medicine and public health
We just analysed rising-resistance data. That raises a question: how reliable is such secondary-source evidence, and why should we care? This card answers it → reliable data drives the global fight against resistance.
A secondary source is only as trustworthy as its methods, so analysing resistance means judging the data as well as reading the trend.
When you analyse a secondary source on resistance, check who collected it, how large and representative the sample was, the time span, and whether the trend could have another explanation. Reliable surveillance from bodies such as the World Health Organization shows a clear, repeatable pattern: where a chemical is used heavily, resistance rises.
The consequences are serious. Antibiotic resistance threatens routine surgery and the treatment of common infections; DDT resistance helped malaria rebound in regions where it had been suppressed. The response, using antibiotics only when needed, finishing prescribed courses, and rotating or combining control chemicals, is an attempt to slow the selective pressure rather than to defeat evolution, which cannot be switched off.
When evaluating a secondary source on resistance, assess sample size, representativeness, time span and possible alternative explanations. Reliable global data show resistance rises with heavy chemical use; the practical response is to reduce and vary that selective pressure (responsible antibiotic use; rotating insecticides), because selection itself cannot be stopped.
Add the "evaluate the source, then slow the selective pressure" points to your notes before the check below.
Where the real Australian data lives. If you want figures you can actually cite, the Australian Commission on Safety and Quality in Health Care publishes the AURA series (Antimicrobial Use and Resistance in Australia), drawing on the Australian Group on Antimicrobial Resistance surveillance programs, and the World Health Organization runs the Global Antimicrobial Resistance and Use Surveillance System (GLASS). Both state their sample sizes, their participating laboratories and their methods, which is exactly what makes them usable as secondary sources and what a poorly documented graph on a website does not.
Antibiotics cause individual bacteria to develop resistance during treatment.
DDT acted as a human-induced selective pressure on mosquito populations.
Before trusting a resistance graph from a secondary source, you should check the sample size and how the data were collected.
See where it lands in the real world
Why this is on every hospital wall
Why this is on every hospital wall
"Antimicrobial resistance" is named by the World Health Organization as one of the top global public-health threats. Hospitals run "antibiotic stewardship" programs, restricting which drugs are used and when, precisely to slow the natural selection you have studied here. The same evolutionary logic guides agriculture: rotating insecticides and pesticide classes so no single chemical applies constant pressure long enough to breed a fully resistant pest. Understanding resistance as natural selection, not as the microbe "learning", is what makes these strategies make sense.
Two truths, one lie: three of these statements about the stewardship card above are correct. Which one is the lie?
Analyse how the widespread spraying of DDT drove the emergence of DDT-resistant mosquito populations.
Analyse asks you to identify the components of the process and relate them. The components are the pre-existing variation, the spraying, the reproductive advantage and the spread, and the analytical work is showing how the features of the human pressure set the speed of the outcome.
5 marks. Establish the variation, then the sorting, then the rate, then what made this pressure so effective, then the consequence.
Mosquito populations are genetically variable, and before DDT was used a small proportion of individuals already carried alleles conferring some tolerance, arising by random mutation. Two mechanisms are well documented: altered forms of the target site in the insect nervous system, so that DDT binds less effectively, and raised activity of enzymes that break the insecticide down before it reaches that target. These alleles were present at low frequency because they conferred no particular advantage, and may have carried a small cost, in the absence of the chemical.
Spraying killed the susceptible majority of the population and left the tolerant minority alive. Those survivors then bred, with greatly reduced competition for breeding sites and resources, and passed their resistance alleles to their offspring. The proportion of resistant individuals in the next generation was therefore far higher than in the generation before, and repeated spraying repeated the sorting.
The speed of the outcome follows from specific features of the situation. Mosquitoes have very short generation times, often measured in one to two weeks, and produce large numbers of offspring, so many rounds of selection occur in a single season. The spraying was applied over wide areas and repeatedly, so a large proportion of the population was exposed each time, and at a dose intended to kill every susceptible individual, which produces the strongest possible selection differential. Resistance appeared in some sprayed populations within a few years.
The selective agent is a human decision rather than a feature of the natural environment. People chose the chemical, the concentration, the area covered and how often to repeat it, and each of those choices directly set how intense the selection was. A pressure of this strength and consistency would be unusual in nature, which is why human-induced pressures can produce evolutionary change at a rate that is observable within a human lifetime.
The consequence was a loss of control in affected areas, with DDT becoming progressively less effective against malaria-transmitting mosquitoes, contributing alongside environmental concerns to changes in vector-control strategy. Throughout, the chemical did not create resistance and no individual mosquito became resistant: the alleles existed beforehand and the spraying changed only their frequency in the population. Describing mosquitoes as "becoming resistant" is a statement about the population, not about any insect in it.
Mosquito populations are genetically variable, and before DDT was used a small proportion of individuals already carried alleles conferring tolerance, arising by random mutation. Two mechanisms are well documented: altered forms of the target site in the insect nervous system so that DDT binds less effectively, and raised activity of enzymes that break the insecticide down before it reaches that target. These alleles were present at low frequency because they conferred no particular advantage, and may have carried a small cost, while the chemical was absent. Spraying then killed the susceptible majority and left the tolerant minority alive, and those survivors bred with greatly reduced competition for breeding sites and resources, passing their resistance alleles on, so the next generation contained a far higher proportion of resistant individuals, and repeated spraying repeated the sorting. The speed of the outcome follows from four specific features: mosquitoes have very short generation times, often one to two weeks, and produce large numbers of offspring, so many rounds of selection occur in a single season; the spraying covered wide areas so a large proportion of the population was exposed; it was repeated; and it used a dose intended to kill every susceptible individual, producing the strongest possible selection differential. Resistance appeared in some sprayed populations within a few years. The pressure is human-induced because the selective agent is a decision rather than a feature of the natural environment, with people choosing the chemical, the concentration, the area and the frequency, each of which directly set the intensity of selection; a pressure of that strength and consistency would be unusual in nature, which is why human-induced pressures can produce evolutionary change observable within a human lifetime. The consequence was a loss of control in affected areas, with DDT becoming progressively less effective against malaria-transmitting mosquitoes and contributing, alongside environmental concerns, to changes in vector-control strategy. Throughout, the chemical created no resistance and no individual mosquito became resistant: the alleles existed beforehand and spraying changed only their frequency, so describing mosquitoes as becoming resistant is a statement about the population and not about any insect in it.
You find an online article reporting that a hospital has recorded a sharp rise in antibiotic-resistant infections. Assess the reliability of this secondary source before using it as evidence.
Assess asks for a judgement of value or quality. Here you are judging a source, so you need criteria, evidence against each criterion, and a conclusion that follows from them.
5 marks. Set out the criteria you will use, apply them, distinguish reliability from validity, then give a judgement with a stated condition.
A secondary source is assessed on its origin, the evidence behind it, and how it presents that evidence. The questions to ask are: who produced it and what expertise or interest do they have; does it cite primary data such as a published study or a surveillance report; is it current; is it consistent with other independent sources; and does it distinguish what was measured from what is being inferred.
Check whether the article is from a health department, a peer-reviewed journal, a hospital's own reporting, or a news outlet summarising one of these, since each is a different distance from the data. Check whether it cites a specific study or surveillance dataset that can be located and read, because an article that names no source cannot be verified and its claims cannot be traced. An author or organisation with a commercial interest in a particular treatment, or a strong campaigning position, is a reason for additional caution rather than automatic rejection.
Check the date, since resistance patterns change and a figure from a decade ago may no longer describe the situation. Then check whether independent sources report the same trend, because agreement between sources that did not copy one another is the strongest available support, while a claim appearing in many outlets that all trace back to one press release has been repeated rather than corroborated.
Reliability concerns whether the reported figures are dependable and repeatable. Validity concerns whether they support the conclusion being drawn. A source may report accurate figures and still not support the claim made from them: a rise in recorded resistant infections could reflect a genuine rise, or increased testing, or a change in how cases are defined or reported, or the hospital taking referrals of more serious cases. Unless the article addresses those alternatives, the figures can be reliable while the conclusion drawn from them is not valid.
My judgement is that a single article of this kind is usable as a starting point but not as evidence for a conclusion on its own. It becomes usable as evidence if it cites a traceable primary source, is recent, is corroborated by an independent body such as a national surveillance programme, and reports the denominator, meaning the number of infections tested, alongside the number found resistant, so that a change in testing can be distinguished from a change in resistance. Without the denominator in particular, a reported rise cannot be interpreted at all.
A secondary source is assessed on its origin, the evidence behind it, and how that evidence is presented, so the questions to ask are who produced it and with what expertise or interest, whether it cites primary data such as a published study or surveillance report, whether it is current, whether it agrees with independent sources, and whether it separates what was measured from what is inferred. On origin and evidence, check whether the article comes from a health department, a peer-reviewed journal, a hospital's own reporting or a news outlet summarising one of these, since each sits a different distance from the data, and check whether it cites a specific study or dataset that can be located and read, because a claim that cannot be traced cannot be verified however reputable the outlet; an author with a commercial interest or a campaigning position warrants additional caution rather than automatic rejection. On currency and corroboration, check the date, since resistance patterns change and a decade-old figure may not describe the present, and check whether independent sources report the same trend, remembering that many outlets tracing back to a single press release constitutes repetition rather than corroboration. Reliability and validity must then be separated: reliability concerns whether the figures are dependable, validity whether they support the conclusion drawn, and a source may report accurate figures that do not support its claim, because a rise in recorded resistant infections could reflect a genuine rise, increased testing, a change in how cases are defined or reported, or the hospital receiving referrals of more serious cases. Unless the article addresses those alternatives, the figures may be reliable while the conclusion is not valid. My judgement is that a single article of this kind is a usable starting point but not evidence for a conclusion on its own; it becomes usable if it cites a traceable primary source, is recent, is corroborated by an independent body such as a national surveillance programme, and reports the denominator, the number of infections tested, alongside the number found resistant, since without the denominator a reported rise cannot be interpreted at all.
Practise independently
Answer every question in your own words first. The model answers are for checking against, not for copying.
Multiple Choice
+5 XPA fresh set drawn from this lesson's question bank, feedback shown immediately. +5 XP per correct · +25 XP all correct
Pick your answer, then rate your confidence, that tells the system what to drill next.
Short Answer, 13 marks
+5 XPAnalyseBand 5(5 marks) 1. Analyse how a human-induced pressure can drive the emergence of an antibiotic-resistant strain of bacteria. In your answer, refer to variation, selection and the role of the human pressure.
1 mark: pre-existing variation from mutation · 1 mark: antibiotic identified as selective pressure · 1 mark: susceptible individuals killed, resistant survive · 1 mark: survivors reproduce, allele frequency rises · 1 mark: links overuse/short generation time to speed of emergence
AnalyseBand 5(4 marks) 2. A published dataset reports the percentage of a bacterial species resistant to one antibiotic as 4 per cent in 2000, 12 per cent in 2008, 31 per cent in 2016 and 58 per cent in 2024. Describe the trend, explain it using natural selection, and state two things you would need to know about the dataset before drawing a conclusion from it.
1 mark: describes the trend quantitatively, a rise from 4 to 58 per cent over 24 years, and notes that it is accelerating rather than linear · 1 mark: explains the rise as selection acting on pre-existing resistance alleles under continued antibiotic use · 1 mark: one valid question about the data (sample size, region, which species and drug, laboratory methods) · 1 mark: a second valid question, including whether the sampling method changed over time
EvaluateBand 5-6(4 marks) 3. "Since resistance is caused by using the chemical, the solution is simply to stop using antibiotics and insecticides altogether." Evaluate this claim.
1 mark: identifies the correct part, reducing use does reduce the selective pressure · 1 mark: identifies the cost, these chemicals prevent and treat disease, so stopping entirely causes harm of its own · 1 mark: notes that resistance alleles persist in the population even without the chemical, so the problem is managed rather than removed · 1 mark: reaches a judgement naming a realistic strategy such as stewardship, rotation or combination therapy
Show all answers
Multiple choice
MC answers and full explanations are shown inline as you complete each question. Use the retry button to attempt a fresh set from the lesson bank.
Short Answer Model Answer
Q1 (5 marks): Within any bacterial population, random mutation produces variation, so a small number of cells are already resistant to the antibiotic before it is used. When the antibiotic is applied it acts as a human-induced selective pressure: it kills the non-resistant majority but cannot kill the resistant few. Those resistant survivors then reproduce, passing the resistance allele to their offspring, so over successive generations the frequency of the resistance allele rises until a resistant strain dominates the population. This emerges rapidly because bacteria have very short generation times (about 20 minutes) and because overuse and incomplete antibiotic courses apply the selective pressure repeatedly, killing susceptible competitors and giving resistant cells repeated reproductive advantage. The antibiotic therefore selects for, rather than creates, resistance.
Q2 (4 marks): Resistance rose from 4 per cent in 2000 to 58 per cent in 2024, an increase of 54 percentage points over 24 years, and the rise is accelerating rather than steady: 8 points in the first interval, 19 in the second and 27 in the third [1]. Natural selection accounts for this. A small proportion of the bacterial population already carried a resistance allele that had arisen by chance mutation; each course of the antibiotic killed the susceptible majority and left those cells to reproduce, so the allele frequency rose, and because bacteria divide roughly every twenty minutes the shift compounds quickly while the drug remains in use [1]. Before drawing a conclusion I would want to know the sample size and how many isolates each figure represents, since a small sample can move a percentage a long way [1]. I would also want to know whether the sampling method or the population sampled changed over the period, because a shift toward testing sicker hospital patients rather than community cases would raise the measured resistance without any change in the underlying biology, and I would want the region, the exact species and the exact drug, since resistance figures are not transferable between them [1].
Q3 (4 marks): The claim gets the mechanism right: resistance rises because the chemical selects for it, so reducing use does genuinely reduce the selective pressure, and that is precisely the reasoning behind antibiotic stewardship [1]. But stopping altogether is not a solution, it is a different harm. Antibiotics make routine surgery, chemotherapy and the treatment of common infections survivable, and insecticides suppress vectors of malaria and dengue, so withdrawing them entirely would cost far more lives than resistance currently does [1]. The claim also assumes the problem disappears when the chemical is withdrawn. Resistance alleles remain in the population once they are common, and although they may decline where they carry a fitness cost in the absence of the drug, that decline is slow and often incomplete, so the realistic goal is to slow the spread rather than to reverse it [1]. My judgement is that the claim is wrong as a policy: what the biology actually recommends is to reduce and vary the pressure, using antibiotics only where they are needed and for the full prescribed course, rotating or combining insecticide classes so no single chemical applies constant pressure, and leaving untreated refuges where susceptible individuals persist [1].
Retrieve and reflect
Do the spaced-review set from memory first, then look back at the prediction you made before you read anything.
Check what actually stuck
A short spaced-review set drawn from this lesson and the lessons before it. Answer from memory first, that is what makes it stick.
Lock it in
bossYou can now explain antibiotic and DDT resistance as natural selection driven by a human-induced pressure, and analyse secondary-source data on it. Next lesson steps back into deep time to read the fossil evidence for evolution.
↩ Back to focus-area hubHow did your thinking change?
At the start you were asked whether the antibiotic caused the surviving bacteria to become resistant. The key correction is this: the resistant individuals were already present due to random mutation; the antibiotic only selected for them by removing the rest. The chemical is the selective pressure, not the source of the new trait.
If your first answer was "the antibiotic made them resistant", revisit Card 1 and the misconception box: variation comes first, selection acts second.