Learning chemical networks give life a chiral twist

chirality
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When holding a right hand in front of a mirror, one can see a reflected image of a left hand and vice versa. In 1848, Louis Pasteur discovered that organic molecules are much like our hands: they come in mirror-image pairs of left- and right-handed variants. Nowadays, we know that this handedness or chirality (from the Greek word for "hand") is a hallmark of organic molecules.

Organic molecules are rich in carbon atoms, which form bonds to create either a right or a left "nano-hand." Yet, puzzlingly, life almost always selects to exclusively use one of the two mirror-image twins—a phenomenon called homochirality. For example, is based on left-handed amino acids and right-handed sugars.

While many explanations were suggested, how and why homochirality emerged remains an enigma. Chiral breaking, which is a phenomenon where a 50-50 ratio mixture of left and right-handed molecules departs to favor one over the other, is of great research interest in biochemistry. Understanding the origin of homochirality is highly important for investigating the origin of life, as well as more practical applications such as the synthesis of chiral drug molecules.

A model now proposes a novel explanation for the emergence of homochirality in life—a longstanding puzzle about the origin of life on Earth.

It is widely believed that life originated in habitats rich in —such as hydrothermal vents in the depths of primordial oceans. Considering possible primordial Earth scenarios, Prof. Tsvi Tlusty and Dr. William Piñeros from the Center for Soft and Living Matter within the Institute for Basic Science, South Korea, envisioned a complex network of chemical reactions that exchange energy with the environment. When the team used a and system simulation to emulate a well-stirred solution of different chemical elements in a container, they surprisingly found out that such systems naturally tend to break the molecular mirror symmetry.

Homochirality emerges spontaneously in prebiotic chemical networks that adapt to optimize energy harvesting from the environment. Previously, it was believed that chiral symmetry breaking requires multiple loops of auto-catalysis, which increasingly produces one enantiomer of a molecule while inhibiting the formation of the other. However, the IBS team's results showed that the underlying mechanism of symmetry breaking is very general, as it can occur in large reaction systems with many random molecules and does not require sophisticated network architectures. It was found that this sharp transition to homochirality stems from the self-configuration of the reaction network in order to achieve more efficient harvesting of energy from the environment.

The model developed by Piñeros and Tlusty showed that highly-dissipating systems and large energy differences are more prone to inducing chiral symmetry breaking. Furthermore, the calculations revealed that such transitions are almost inevitable, so it is reasonable to believe they may generically occur in random chemical reaction systems. Thus, the energy harvesting optimization-based model demonstrated by the group explains how homochirality could have spontaneously arisen from the harsh, energy-rich environment of the early planet Earth.

The proposed mechanism of symmetry breaking is a general one and can apply to other transitions in that lead to increased complexity.

Moreover, the model proposes a general mechanism that explains how the complexity of a system can grow as it better adapts to exploit a varying environment. This suggests that chiral symmetry breaking is an inherent hallmark of any complex system (such as life) that is capable of configuring itself to adapt to an environment. These findings may furthermore explain spontaneous symmetry breakings in much more complex biological processes, such as cell differentiation and the emergence of new genes.

This study was published in the journal Nature Communications.

More information: William D. Piñeros et al, Spontaneous chiral symmetry breaking in a random driven chemical system, Nature Communications (2022). DOI: 10.1038/s41467-022-29952-8

Journal information: Nature Communications

Citation: Learning chemical networks give life a chiral twist (2022, April 26) retrieved 7 March 2024 from https://phys.org/news/2022-04-chemical-networks-life-chiral.html
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