Sequencing of genetic material facilitates the breeding of new potato varieties

Scientists have deciphered the highly complex genome of the potato, a technical feat that will accelerate efforts to breed superior varieties.

Scientists at the Ludwig-Maximilians-Universität München and the Max Planck Institute for Plant Breeding Research in Cologne have decoded the highly complex genome of the potato. This technically demanding study – more than 20 years after the first release of the human genome – lays the biotechnological foundation to accelerate the breeding of more robust varieties, an important step for global food security.

When shopping for potatoes today, buyers may well be going home with a variety that was available more than 100 years ago. Traditional potato varieties are popular.

This highlights a lack of diversity among the predominant potato varieties.

But researchers in the group of geneticist Korbinian Schneeberger, by generating the first full assembly of a potato genome, have paved the way for breeding new varieties:

“The potato is becoming more and more integral to diets worldwide including even Asian countries like China where rice is the traditional staple food. Building on this work, we can now implement genome-assisted breeding of new potato varieties that will be more productive and also resistant to climate change — this could have a huge impact on delivering food security in the decades to come.”

The low diversity makes potato plants especially susceptible to diseases. This can have stark consequences, most dramatically during the Irish famine of the 1840s, where for several years nearly the entire potato crop rotted in the ground and millions of people in Europe suffered from starvation simply because the single variety that was grown was not resistant to newly emerging tuber blight.

During the Green Revolution of the 1950s and 1960s, scientists and plant breeders succeeded in achieving large increases in the yields of many of our major crop staples like rice or wheat. However, the potato has seen no comparable boost, and efforts to breed new varieties with higher yields have remained largely unsuccessful.

The reason for this is simple but has proven difficult to tackle — instead of inheriting one copy of every chromosome from both the father and from the mother (as in humans) potatoes inherit two copies of each chromosome from each parent.

This makes them a species with four copies of each chromosome (tetraploid). Four copies of each chromosome also mean four copies of each gene, which makes it highly challenging and time-consuming to generate new varieties that harbour a desired combination of individual properties.

Furthermore, multiple copies of each chromosome make the reconstruction of the potato genome a far greater technical challenge than was the case for the human genome.

The researchers have overcome this long-standing hurdle using a simple yet elegant trick. Instead of trying to differentiate the four, often very similar, chromosome copies from each other, Korbinian Schneeberger, his colleague, Hequan Sun, and other co-workers circumvented this problem by sequencing the DNA of large numbers of individual pollen cells.

In contrast to all other cells, each pollen cell contains only two random copies of each chromosome; this facilitated the reconstruction of the sequence of the entire genome.

An overview of the complete DNA sequence of cultivated potato has the potential of greatly facilitating breeding and has been an ambition of scientists and plant breeders alike for many years already. With this information in hand, scientists can now more easily identify gene variants responsible for desirable or undesirable.

Journal Reference:

  1. Hequan Sun, Wen-Biao Jiao, Kristin Krause, José A. Campoy, Manish Goel, Kat Folz-Donahue, Christian Kukat, Bruno Huettel, Korbinian Schneeberger. Chromosome-scale and haplotype-resolved genome assembly of a tetraploid potato cultivarNature Genetics, 2022; DOI:

Source:  ScienceDaily

Author: Bob Edlin

Editor of AgScience Magazine and Editor of the AgScience Blog