Spontaneous Chiral Symmetry Breaking in Early Molecular Networks

DSpace/Manakin Repository

Spontaneous Chiral Symmetry Breaking in Early Molecular Networks

Citable link to this page

 

 
Title: Spontaneous Chiral Symmetry Breaking in Early Molecular Networks
Author: Markovitch, Omer; Lancet, Doron; Kafri, Ran

Note: Order does not necessarily reflect citation order of authors.

Citation: Kafri, Ran, Omer Markovitch, and Doron Lancet. 2010. Spontaneous chiral symmetry breaking in early molecular networks. Biology Direct 5:38.
Full Text & Related Files:
Abstract: Background: An important facet of early biological evolution is the selection of chiral enantiomers for molecules such as amino acids and sugars. The origin of this symmetry breaking is a long-standing question in molecular evolution. Previous models addressing this question include particular kinetic properties such as autocatalysis or negative cross catalysis. Results: We propose here a more general kinetic formalism for early enantioselection, based on our previously described Graded Autocatalysis Replication Domain (GARD) model for prebiotic evolution in molecular assemblies. This model is adapted here to the case of chiral molecules by applying symmetry constraints to mutual molecular recognition within the assembly. The ensuing dynamics shows spontaneous chiral symmetry breaking, with transitions towards stationary compositional states (composomes) enriched with one of the two enantiomers for some of the constituent molecule types. Furthermore, one or the other of the two antipodal compositional states of the assembly also shows time-dependent selection. Conclusion: It follows that chiral selection may be an emergent consequence of early catalytic molecular networks rather than a prerequisite for the initiation of primeval life processes. Elaborations of this model could help explain the prevalent chiral homogeneity in present-day living cells. Reviewers: This article was reviewed by Boris Rubinstein (nominated by Arcady Mushegian), Arcady Mushegian, Meir Lahav (nominated by Yitzhak Pilpel) and Sergei Maslov.
Published Version: doi://10.1186/1745-6150-5-38
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2894767/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:10139268
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters