For a long time, prognoses forecasting the evolutionary future of organisms were considered mere speculation. An international team of scientists have developed an algorithm that can predict the evolution of asexual organisms such as viruses or cancer cells.
The researchers tested the program for the first time on the historical development of the A/H3N2 influenza virus: the algorithm was able to determine the upcoming season’s virus type with good or very good accuracy in most cases.
Combining this approach with other methods could further increase the accuracy of the prognoses. The method can even be applied to predict the development of HIV and noroviruses as well as cancer cells.
The algorithm developed by the international team is based on a simple idea: using the branches of a genealogical tree as reference, it infers an organism’s capability of surviving – i.e. its biological fitness. Fitter lineages have more offspring, which is why their genealogical tree comprises more branches. Highly branched branches therefore represent lineages that are expected to prevail in the future.
“Predicting evolution is the ultimate test for our understanding of evolution,” says Richard Neher from the Max Planck Institute for Developmental Biology. Such predictions could also help scientists produce vaccines against rapidly developing pathogens such as influenza viruses.
The method is based on two key assumptions: the organism population is under persistent directional selection, and the fitness of individuals changes in small steps due to mutations. The input then needed by the algorithm is the genealogical tree derived from the genetic analysis of the organism’s various lineages.
Validation tests have already proven the reliability of this method. The researchers tested it on the development of the A/H3N2 influenza virus occurring in Asia and North America from 1995 to 2013. They used the genetic data of the surface receptor haemagglutinin 1 of one year to reconstruct a genealogical tree that the program then used to predict the upcoming flu season’s fittest virus lineages.
“In 30% of all cases, our algorithm was able to determine the virus type that would bring forth the dominant type the next year. For 16 of the 19 years analyzed in this time period, it made informative predictions regarding the virus type that would circulate in the upcoming season. This indicates that the fitness of the influenza virus is mainly determined by mutations that individually have a small effect but accumulate over time,” says Neher.
The researchers in Tübingen also compared the evolutionary trajectory of A/H3N2 with the predictions published by researchers from Cologne and New York in the spring of 2014. This algorithm uses long time series of genetic data of influenza viruses to predict which virus type will be dominant in the upcoming year, and is designed specifically for influenza. It turned out that the method from Tübingen makes predictions with a similar reliability, even though its underlying algorithm is much simpler and can be applied to many different organisms.
Combining this approach with models of the spread and transmission of pathogens could increase the algorithm’s power of prediction even further. “Our method works without historical data and does not require detailed knowledge of how an organism’s genome influences its fitness. This makes the method much more versatile, so that it can also be applied to other virus types as well as bacteria and cancer cells,” says Neher. In a next step, the scientists plan to apply it to HI- and noroviruses.
Predicting evolution from the shape of genealogical trees
Richard A. Neher, Colin A. Russell, and Boris I. Shraiman
eLife, November 11, 2014. DOI: http://dx.doi.org/10.7554/eLife.03568
Nadja Winter | Max-Planck-Institut
Newly designed molecule binds nitrogen
23.02.2018 | Julius-Maximilians-Universität Würzburg
Atomic Design by Water
23.02.2018 | Max-Planck-Institut für Eisenforschung GmbH
A newly developed laser technology has enabled physicists in the Laboratory for Attosecond Physics (jointly run by LMU Munich and the Max Planck Institute of Quantum Optics) to generate attosecond bursts of high-energy photons of unprecedented intensity. This has made it possible to observe the interaction of multiple photons in a single such pulse with electrons in the inner orbital shell of an atom.
In order to observe the ultrafast electron motion in the inner shells of atoms with short light pulses, the pulses must not only be ultrashort, but very...
A group of researchers led by Andrea Cavalleri at the Max Planck Institute for Structure and Dynamics of Matter (MPSD) in Hamburg has demonstrated a new method enabling precise measurements of the interatomic forces that hold crystalline solids together. The paper Probing the Interatomic Potential of Solids by Strong-Field Nonlinear Phononics, published online in Nature, explains how a terahertz-frequency laser pulse can drive very large deformations of the crystal.
By measuring the highly unusual atomic trajectories under extreme electromagnetic transients, the MPSD group could reconstruct how rigid the atomic bonds are...
Quantum computers may one day solve algorithmic problems which even the biggest supercomputers today can’t manage. But how do you test a quantum computer to...
For the first time, a team of researchers at the Max-Planck Institute (MPI) for Polymer Research in Mainz, Germany, has succeeded in making an integrated circuit (IC) from just a monolayer of a semiconducting polymer via a bottom-up, self-assembly approach.
In the self-assembly process, the semiconducting polymer arranges itself into an ordered monolayer in a transistor. The transistors are binary switches used...
Breakthrough provides a new concept of the design of molecular motors, sensors and electricity generators at nanoscale
Researchers from the Institute of Organic Chemistry and Biochemistry of the CAS (IOCB Prague), Institute of Physics of the CAS (IP CAS) and Palacký University...
15.02.2018 | Event News
13.02.2018 | Event News
12.02.2018 | Event News
23.02.2018 | Physics and Astronomy
23.02.2018 | Health and Medicine
23.02.2018 | Physics and Astronomy