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A perspective article in a leading journal argues for an experimental paradigm change to capture complex gene effects in combination with environment and genetic background.
To the Point:
- Many traits and disease risks are not “one gene – one trait” effects, but emerge from the combined action of very many genetic variants.
- Classical single-gene models often fail to explain the variation observed between individuals when environment and genetic background come into play.
- The authors argue for new experimental paradigms and supporting infrastructure, including large-scale automated phenotyping and systematic studies including environmental change conditions.
For more than a century, Mendelian genetics has shaped how we think about inheritance: one gene, one trait. It is a model that still echoes through textbooks - and one that is increasingly reaching its limits. In a perspective article published in the journal Genetics, an international group of leading geneticists and evolutionary biologists, including Detlef Weigel, Director of the Department of Molecular Biology at the Max Planck Institute for Biology Tübingen and Luisa Pallares, Max Planck Research Group Leader at the Friedrich Miescher Laboratory in Tübingen, calls for a fundamental shift in focus: away from searching for isolated, clearly defined gene effects and towards experimental approaches that treat genetic complexity not as noise, but as the starting point.
Their central argument: most biological traits - from morphology and physiology to disease risk - arise through the interplay of very many genes. Individual variant effects tend to be small, highly context-dependent, and strongly shaped by environmental conditions as well as an individual’s broader genetic background. Evidence from quantitative genetics, evolutionary biology and breeding research now converges on a shared conclusion: simple single-gene models cannot account for the phenotype and its variation among individuals.
“We have come a long way in understanding how genes work, how they affect certain traits, and how problems with those genes can ‘make or break’ an organism. But we are still far away from understanding how those genetic effects regulate subtle variation between individuals,” says Luisa Pallares one of the article’s authors. “For this we need to approach the question with more nuance, incorporating the fact that genetic effects are environment dependent, and are modulated by other genes in the genome. We cannot keep approaching such a complex question thinking about one gene at a time.”
This is becoming increasingly apparent in medical research. Many common diseases are influenced by a vast number of genetic variants within each individual. Each variant on its own may have only a minute effect; in combination - and in interaction with environmental factors - the cumulative impact can be substantial. The article traces the historical roots of this development, noting how twentieth-century experimental genetics deliberately concentrated on clearly defined single effects in standardised genetic systems. That strategy proved extraordinarily powerful for uncovering molecular mechanisms, but it runs into fundamental limitations when the goal is to understand individual variation, evolutionary adaptation, and complex disease patterns.
Against this backdrop, the authors call for a systematic development of experimental genetics. Future approaches should explicitly incorporate natural genetic variation, take evolutionary processes into account, and investigate genetic effects not in isolation but at the system level and within an environmental context. Proposed directions include parallel selection experiments, genome-wide analyses under controlled environmental shifts, and the study of natural adaptation processes in wild populations.
A key ambition of the paper is to catalyse the creation of suitable research infrastructures. Investigating polygenic trait architectures, the authors argue, requires large-scale, automated phenotyping - to be achieved through close integration of biology, engineering, and data-driven modelling.
The piece concludes with a clear message: genetic complexity should no longer be reduced away or ignored. It must be made experimentally accessible. Only then, the authors suggest, can we better understand both evolutionary processes and the biological basis of complex traits and diseases.
Prof. Dr. Detlef Weigel
Director of the Department of Molecular Biology
detlef.weigel@tuebingen.mpg.de
Dr. Luisa Pallares
Max Planck Research Group Leader
luisa.pallares@tuebingen.mpg.de
Dr. Jeanette Müller
Press Office
presse-bio@tuebingen.mpg.de
Tautz et al. (2026):
Beyond Mendel: a call to revisit the genotype–phenotype map through new experimental paradigms,
Genetics Vol. 232, doi: https://doi.org/10.1093/genetics/iyag024
https://www.bio.mpg.de/514666/news_publication_26152597_transferred?c=57217
From simple Mendelian inheritance models to biological reality: many traits emerge from the combined ...
Copyright: Prof. Dr. Diethard Tautz
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From simple Mendelian inheritance models to biological reality: many traits emerge from the combined ...
Copyright: Prof. Dr. Diethard Tautz
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