University of Sydney · FACULTY OF BIOLOGY

BIOL1907 Chap.5 Microbes, One Health and Biotechnology

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Chapter 5 of 8 · BIOL1907

Microbes, One Health and Biotechnology

This chapter places microbes in relationships rather than treating them as a synonym for disease. One Health connects human, animal and ecosystem outcomes through shared microbes, environments and selection pressures. The biotechnology section follows plasmids, transformation, selection and microbial production systems.

A fresh CFU calculation shows how dilution and plated volume produce an operational count while controls define whether colonies support the intended explanation. Microbial diversity spans cellular organisms and acellular agents with very different structures and ecological roles. Bacteria and archaea are prokaryotic, while fungi and protists are eukaryotic. Viruses depend on host machinery for replication.

Those categories are a starting map, but ecological function depends on metabolism, habitat and relationship with other organisms. Autotrophs build organic matter from inorganic carbon using light or chemical energy. Heterotrophs obtain organic material from other sources, and decomposers release nutrients that can re-enter ecosystems. Symbioses can support host nutrition or ecosystem structure.

The same taxonomic group can contain mutualists, decomposers and pathogens, so presence alone does not establish effect. One Health traces connected exposure and selection. Environmental antibiotic residues can favour resistant variants, water and animals can connect reservoirs, and climate can change the ranges of hosts and vectors.

Variation exists before selection; bacteria do not become resistant because they intend to adapt. An intervention should identify a link in the pathway, such as reducing residues, limiting transmission or monitoring resistant genes. Biotechnology turns biological processes into designed production.

A plasmid vector can carry a chosen sequence, an origin that supports copying, a selectable feature and regulatory regions for expression. Transformation introduces the construct into a host, selection distinguishes cells that survive the chosen condition, and controls test whether survival is specific.

Rapid microbial growth can support cell factories, yet product yield, folding, purification and containment remain biological constraints. Culture-based counts answer a narrower question. Colonies divided by plated volume and multiplied by the reciprocal dilution estimate CFU per original volume. A colony may begin from one cell or a clump, and organisms unable to grow under the chosen conditions remain unseen.

Countable plates, dilution records and replicates protect the calculation from crowding and exponent errors. Combine methods before making a broad claim. A DNA signal can show that a gene is detectable, culture can demonstrate growth under selected conditions, and a functional assay can show activity. Each adds a different layer of evidence.

Revision should therefore pair every microbial claim with the method that could support it and the major part of the community that method may miss.

In this chapter

What this chapter covers

  • 01

    Microbial diversity and ecological roles

  • 02

    One Health transmission pathways

  • 03

    Autotrophs, heterotrophs and carbon cycling

  • 04

    Plasmids, cloning and microbial cell factories

  • 05

    Dilution plating, CFU and experimental controls

Worked example · free

Estimate CFU per millilitre

Q [4 marks]. A plate has 240 colonies from 0.10 mL of a 10^-5 dilution. Estimate the original concentration. Its practice weighting is not an official University mark allocation.
One Health treats three health domains as connected.One Health treats three health domains as connected. Microbial movement, environmental conditions and antimicrobial exposure create pathways among humans, animals and ecosystems rather than isolated problems.Human healthAnimal healthEcosystemsshared microbes and exposures
One Health treats three health domains as connected. Microbial movement, environmental conditions and antimicrobial exposure create pathways among humans, animals and ecosystems rather than isolated problems.
  • +1Divide 240 colonies by 0.10 mL to get 2,400 CFU/mL in the diluted sample.
  • +1Multiply by the reciprocal dilution, 10^5.
  • +1Report 2.4 × 10^8 CFU/mL in the original culture.
  • +1State that CFU measures viable culturable units and may include cell clumps.
The estimate is 2.4 × 10^8 CFU/mL, subject to the limits of culture and colony formation.
Sia tip — Convert the plate to CFU per plated millilitre before reversing the dilution.
Glossary

Key terms

One Health
A framework linking human, animal and ecosystem health.
Autotroph
An organism that builds organic matter from inorganic carbon using an energy source.
Heterotroph
An organism that obtains organic matter from other organisms or their products.
Plasmid
A replicating DNA molecule used naturally by microbes and as a biotechnology vector.
CFU
A colony-forming unit counted under specified culture conditions.
FAQ

Microbes, One Health and Biotechnology FAQ

Are most microbes harmful?

No. Microbes drive decomposition, nutrient cycling, food production and symbioses, while a subset causes disease. Outcome depends on microbial traits, host condition and environmental context.

Why are bacteria useful in biotechnology?

They grow rapidly, can carry engineered plasmids and can express useful products. Successful production still depends on host compatibility, expression control, folding, containment and purification.

Why is CFU not a direct cell count?

Only viable units that grow under the selected culture conditions form visible colonies, and a colony can begin from a clump. CFU is therefore an operational estimate, not a count of every cell present.

Study strategy

Exam move

Draw a One Health pathway with a source, environmental route, animal or human host and intervention point. Pair it with one cloning-control problem and one CFU calculation. In each case, state what the method detects and one biological feature it misses. Recalculate the colony estimate after changing dilution or plated volume so the exponent and units remain visible.

For biotechnology, assign a purpose to every plasmid feature and predict the result for transformed, untransformed and no-selection controls. Finish by comparing culture, DNA detection and a functional assay without treating any single method as a complete community census. Distinguish selection acting on variation from purposeful adaptation.

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