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Kill the Winner hypothesis

Kill the Winner hypothesis is a science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Kill the Winner hypothesis rather than just read about it. In short: The "Kill the Winner" hypothesis (KtW) is an ecological model of population growth involving prokaryotes, viruses and protozoans that links trophic interactions to biogeochemistry. The model is related to the Lotka–Volterra equations.

Kill the Winner hypothesis — main illustration
Kill the Winner hypothesis — illustration

Key takeaways

  • Kill the Winner hypothesis belongs to science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect Kill the Winner hypothesis to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of Kill the Winner hypothesis from memory before moving on to harder problems.

Reference excerpt

The "Kill the Winner" hypothesis (KtW) is an ecological model of population growth involving prokaryotes, viruses and protozoans that links trophic interactions to biogeochemistry. The model is related to the Lotka–Volterra equations. It assumes that prokaryotes adopt one of two strategies when competing for limited resources: priority is either given to population growth ("winners") or survival ("defenders"). As "winners" become more abundant and active in their environment, their contact with host-specific viruses (also known as phages) increases, making them more susceptible to viral infection and lysis. Thus, viruses moderate the population size of "winners" and allow multiple species (both "winners" and "defenders") to coexist. Current understanding of KtW primarily stems from studies of lytic viruses and their host populations. KtW provides a possible solution to the paradox of the plankton. It provides a mechanism for species coexistence despite resource limitations. Some investigations into virus-bacteria interactions in laboratory settings have suggested viruses play a major role in maintaining microbial diversity and provided more evidence in support of KtW. Competition specialists, or "winners", are often the fastest growing populations. Their abundance and activity increases when they outcompete other species for a shared limiting resource (e.g. phosphate). The resource can exist as a free form or as something that needs to be sequestered from biomass. Competition specialists (predators, grazers, parasites) are expected to dominate in oligotrophic environments where competition is a large ecological constraint. When competition specialists are found at uncharacteristically low abundances in oligotrophic environments, viruses may be responsible for moderating their population size. Defence specialists invest resources in strategies to avoid viral infection, but these strategies may result in reduced growth. Hence, the "defender" does not increase viral predation. Defence specialists are expected to dominate in eutrophic environments where competition pressure is reduced. While the KtW model is widely applicable to different trophic levels and complex microbial systems, it has many limitations. The KtW model represents an idealized microbial food web with mathematical parameters that only account for viral predation studied in vitro. Because it assumes environmental conditions are stable, it can only predict population dynamics over a small time frame relative to a microbial community's history. It also fails to account for the fact that a prokaryotic species can be attacked by multiple viruses at once. The KtW model may be modified as other models that assess its limitations (e.g. CKTW) are developed.

History

Paradox of the plankton The "Kill the Winner" hypothesis is related to the paradox of the plankton, which is an observation that many planktonic species exist despite having similar resource requirements. This paradox was first noted by G.E. Hutchinson in 1961 in relation to phytoplankton. He noticed that many distinct species coexisted despite filling the same niche. In a well-mixed pelagic environment, with conditions being roughly constant, prior biological theories (e.g. the competitive exclusion principle) suggested one species should eventually dominate. Selective predation, symbiotic interactions, and variations in environmental conditions over space and time were initially proposed as solutions to the paradox.

Virus-bacteria interactions Early modelling of viral infections in bacterial populations assumed a predator-prey relationship between viruses and bacteria following the Lotka-Volterra equations. Viruses and bacteria were thought to coexist stably in cycles of high and low population. These theoretical models of virus-bacteria interactions were supported by studies of Escherichia coli and bacteriophages in laboratory settings. It was also observed that multiple strains of E.coli could coexist if nutrients were limited and phages were introduced to the culture. Growth-oriented, phage-susceptible E.coli could coexist stably with slower-growing strains that were more resistant to infection. However, these experiments could not replicate the high diversity, grazing, and environmental conditions of marine ecosystems.

"Kill the Winner" The "Kill the Winner" hypothesis was first raised in a 1997 study of theoretical models for marine bacterial populations. In this study, T. Frede Thingstad and Risto Lignell found that the total size of a bacterial population was controlled by grazing and that lytic viruses had no impact on bacterial abundance in any of their nutrient-limited models. Instead, viruses promoted diversity by preferentially infecting more abundant and active bacteria. Thingstad later found that bacteria with varying growth rates could coexist stably, with faster-growing bacterial species maintaining a higher abundance of viruses. In this way, viruses can prevent the dominance of one species in any particular niche, which maintains microbial diversity and presents a solution to the paradox of the plankton. More recent discoveries of the significant role viruses play in cellular turnover also support the idea that viruses play a major role in maintaining planktonic diversity.

… excerpt ends here. Continue reading the full article.

Illustrations

Kill the Winner hypothesis: The "Kill the Winner" hypothesis relates to Lotka-Volterra equations.
The "Kill the Winner" hypothesis relates to Lotka-Volterra equations.
Kill the Winner hypothesis: Viral lysis, which disproportionately targets the "winners" of marine ecosystems.
Viral lysis, which disproportionately targets the "winners" of marine ecosystems.
Kill the Winner hypothesis: Roseobacter strain belonging to family Rhodobacteraceae
Roseobacter strain belonging to family Rhodobacteraceae
Kill the Winner hypothesis: Pelagibacter, a SAR11 bacterium.
Pelagibacter, a SAR11 bacterium.
Kill the Winner hypothesis: A myovirus which infects cyanobacterium Prochlorococcus.
A myovirus which infects cyanobacterium Prochlorococcus.

Worked examples

Example 1 — a first encounter with Kill the Winner hypothesis

Start with the simplest possible case. Write down what Kill the Winner hypothesis claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Kill the Winner hypothesis before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Kill the Winner hypothesis ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Kill the Winner hypothesis

In research
Kill the Winner hypothesis appears in science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses Kill the Winner hypothesis in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
Kill the Winner hypothesis is common in secondary-school and first-year university syllabi. It links to neighbouring topics Population models, so understanding it makes those chapters shorter.
In everyday life
Look for Kill the Winner hypothesis outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study Kill the Winner hypothesis in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Kill the Winner hypothesis means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain Kill the Winner hypothesis out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Kill the Winner hypothesis in simple terms?

The "Kill the Winner" hypothesis (KtW) is an ecological model of population growth involving prokaryotes, viruses and protozoans that links trophic interactions to biogeochemistry. The model is related to the Lotka–Volterra equations.

Why does Kill the Winner hypothesis matter?

Because it connects several science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Kill the Winner hypothesis?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Kill the Winner hypothesis.

Tags

  • Population models

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