What is Biotechnology?

An old field with a recent discontinuity

Biotechnology in the broad sense is thousands of years old — brewing, baking, cheese-making and selective breeding all use living systems to make something. That definition is true and not very useful, because it puts a Neolithic farmer and a gene therapy in the same category.

The discontinuity is recent and specific. From the 1970s onward it became possible to work with genetic material directly: to read a sequence, copy it, move it between organisms, change it, and eventually to write one that never existed. Everything that distinguishes modern biotechnology follows from those four capabilities.

They are worth taking in the order the field acquired them, because each one is built on the one before.

Read: sequencing

Sequencing determines the order of bases in a stretch of DNA. Sanger's method arrived in 1977 and dominated for twenty-five years; the Human Genome Project used it, took thirteen years and cost around $2.7 billion.

The number that matters is what happened next. Massively parallel sequencing arrived in the mid-2000s and the cost per genome fell faster than semiconductor cost per transistor over the same period. A whole human genome is now a few hundred dollars and about a day.

Almost everything modern biology looks like is downstream of that curve. You cannot detect a variant you have never seen written down, so diagnostics needed reading first. You cannot design a guide RNA without knowing the target sequence, so editing needed reading first. Cheap sequencing is the enabling layer, and it is why a field that had been slow for decades became fast in about ten years.

Copy: PCR

Reading, editing and assaying all require more material than a sample contains. PCR solves that: a cycle of heating and cooling that doubles a chosen sequence each round, turning one copy into billions in a couple of hours.

It is the least glamorous of the four and arguably the most load-bearing. Nearly every diagnostic test in a hospital depends on it, forensics depends on it, and the global testing response of 2020 was PCR at scale.

Edit: CRISPR, and what it actually changed

This is the layer that is most often described wrongly, and the correction is genuinely clarifying.

Cutting DNA was never the hard part. Restriction enzymes have cut DNA at specific sequences since the 1970s, and earlier editing tools — zinc-finger nucleases, TALENs — worked. They were simply impractical: retargeting one meant engineering a new protein, which took a specialist team months.

What CRISPR changed is addressing. The target is specified by a roughly twenty-base guide RNA that you can order from a supplier for a few dollars and receive in days. The protein stays the same; only the address changes. A capability that required a specialist team became something a graduate student does in a week.

What the tool does not do

Cas9 cuts. It does not write. Everything after the cut is performed by the cell's own repair machinery, and the cell chooses which pathway to use.

Non-homologous end joining sticks the broken ends back together, is fast, is always available, and is sloppy — it usually loses or gains a few bases, which breaks the gene. Frequently that is exactly the goal. Homology-directed repair copies from a template you supply and lets you write in a specific sequence, but it operates only in dividing cells and typically at single-digit percent efficiency.

So a precise edit means treating a population of cells, screening for the small fraction that repaired the way you wanted, and growing those out. "We edited the gene" describes a screening campaign, not a single operation.

Write: synthesis and synthetic biology

The newest layer, and the least mature. Chemical synthesis of DNA lets you order a sequence that has never existed. At the scale of a single gene this is routine and cheap. At the scale of a genome it remains a substantial project — a small bacterial genome has been synthesised and assembled, and it took years.

Synthetic biology is the engineering framing applied on top: standard parts, characterised behaviour, and composition of parts into systems. The results are real — insulin from engineered yeast, enzymes for detergent, artemisinin precursors from engineered microbes — and the founding metaphor over-promised, because biological parts do not compose as cleanly as electronic ones. A promoter characterised in one strain frequently behaves differently in another.

The layer that is easy to skip

There is a fifth capability that is not a laboratory technique and stops more projects than any of the four above: the legal and regulatory layer.

A modified organism, a sequence, a diagnostic method and a therapeutic use can each be the subject of intellectual property, and the answer to "who owns this" is frequently not simple. A therapy also has to clear a regulatory pathway that will demand years of evidence and cost more than the research did.

Researchers who learn only the wet-lab layer are repeatedly surprised by this. It is not an obstacle bolted on at the end — it shapes which projects are worth starting.