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Growth curve (biology)

Growth curve (biology) is a biology 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 Growth curve (biology) rather than just read about it. In short: A growth curve is an empirical model of the evolution of a quantity over time. Growth curves are widely used in biology for quantities such as population size or biomass (in population ecology and demography, for population growth analysis), individual body height or biomass (in physiology, for growth analysis of individuals).

Growth curve (biology) — main illustration
Growth curve (biology) — illustration

Key takeaways

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

Reference excerpt

A growth curve is an empirical model of the evolution of a quantity over time. Growth curves are widely used in biology for quantities such as population size or biomass (in population ecology and demography, for population growth analysis), individual body height or biomass (in physiology, for growth analysis of individuals). Values for the measured property

Bacterial growth

In this example (Figure 1, see Lac operon for details) the number of bacteria present in a nutrient-containing broth was measured during the course of an 8-hour cell growth experiment. The observed pattern of bacterial growth is bi-phasic because two different sugars were present, glucose and lactose. The bacteria prefer to consume glucose (Phase I) and only use the lactose (Phase II) after the glucose has been depleted. Analysis of the molecular basis for this bi-phasic growth curve led to the discovery of the basic mechanisms that control gene expression.

Cancer cell growth Cancer research is an area of biology where growth curve analysis plays an important role. In many types of cancer, the rate at which tumors shrink following chemotherapy is related to the rate of tumor growth before treatment. Tumors that grow rapidly are generally more sensitive to the toxic effects that conventional anticancer drugs have on the cancer cells. Many conventional anticancer drugs (for example, 5-Fluorouracil) interfere with DNA replication and can cause the death of cells that attempt to replicate their DNA and divide. A rapidly growing tumor will have more actively dividing cells and more cell death upon exposure to such anticancer drugs.

In the example shown in Figure 2, a tumor is found after the cell growth rate has slowed. Most of the cancer cells are removed by surgery. The remaining cancer cells begin to proliferate rapidly and cancer chemotherapy is started. Many tumor cells are killed by the chemotherapy, but eventually some cancer cells that are resistant to the chemotherapy drug begin to grow rapidly. The chemotherapy is no longer useful and is discontinued.

The growth of children

Children who fall significantly below the normal range of growth curves for body height can be tested for growth hormone deficiency and might be treatable with hormone injections.

Exponential growth Some growth curves for certain biological systems display periods of exponential growth. Typically, periods of exponential growth are of limited duration due to depletion of some rate-limiting resource.

See also Gompertz function Exponential curve (J-curve) Logistic curve (sigmoid curve, S-curve) Von Bertalanffy function

Notes

Bibliography Kahm, M. and Hasenbrink, G. and Lichtenberg-Fraté, H. and Ludwig, J. and Kschischo, M. (2010). "grofit: Fitting Biological Growth Curves with R". Journal of Statistical Software. Vol. 33, no. 7. pp. 1–21.{{cite news}}: CS1 maint: multiple names: authors list (link)

External links CDC recommended growth charts

Illustrations

Growth curve (biology): Figure 1: A bi-phasic bacterial growth curve.
Figure 1: A bi-phasic bacterial growth curve.
Growth curve (biology): Figure 2. Tumor growth curve.
Figure 2. Tumor growth curve.
Growth curve (biology) illustration
Growth curve (biology) illustration

Worked examples

Example 1 — a first encounter with Growth curve (biology)

Start with the simplest possible case. Write down what Growth curve (biology) claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In biology, 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 Growth curve (biology) 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 Growth curve (biology) 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 Growth curve (biology)

In research
Growth curve (biology) appears in biology 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 Growth curve (biology) 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
Growth curve (biology) is common in secondary-school and first-year university syllabi. It links to neighbouring topics Bacteriology, Growth curves, Population, so understanding it makes those chapters shorter.
In everyday life
Look for Growth curve (biology) 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 Growth curve (biology) in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what Growth curve (biology) 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 Growth curve (biology) out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Growth curve (biology) in simple terms?

A growth curve is an empirical model of the evolution of a quantity over time. Growth curves are widely used in biology for quantities such as population size or biomass (in population ecology and demography, for population growth analysis), individual body height or biomass (in physiology, for gro…

Why does Growth curve (biology) matter?

Because it connects several biology 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 Growth curve (biology)?

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 Growth curve (biology).

Tags

  • Bacteriology
  • Growth curves
  • Population
  • Population ecology

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