×
No keyword cloud information.
Few scientific
questions are as intriguing and at the same time as relevant as those
about the origin of life on Earth. Even fewer present-day phenomena
are as related to its answer as that of photosynthesis and its origin.
Even though photosynthesis is more commonly perceived as pertaining
to the realm of biology, actually quantum molecular physics is the
discipline most suitable to explore the transformation of electromagnetic
energy into stored chemical energy and how living organisms evolved
in order to take advantage of this energy transformation mechanism.
The research article by Valleau and Aspuru-Guzik[1 ] reported in ACS Central Science is a testimony
to the far-reaching lengths that both seemingly opposite scientific
disciplines can go when working closely together to elucidate the
influence that quantum phenomena exert over the evolution of an autotrophic
organism—specifically, the evolution of the Fenna–Matthews–Olson
(FMO) complex, a trimeric pigment–protein complex which lies
between the antennae complexes and the reaction center of the photosystem
II of sulfur green bacteria, and whose primary function is to serve
as a molecular wire transporting the excitons generated during light
harvesting by the pigments toward the reaction center where the cascade
of redox chemical reactions take place. The excitation energy transfer
dynamics are required to be fast or otherwise it is lost; it is now
known that this transport occurs with quantum coherence;[2 ,3 ] that is, very little energy is dissipated as heat or radiation,
making it an almost 100% efficient process. But how exactly did the
FMO complex evolve to exhibit this remarkable feature of quantum coherence?
Or even more puzzling, how did quantum coherence lead the evolution
of FMO?
Learning
about the evolution of the FMO complex of bacteria can further our
understanding of photosynthesis more generally. Image credit: ©
Can Stock Photo Inc., Ruslan117.
Previous
investigations about the evolution of the FMO complex through the
study of their quantum photochemical properties have stemmed from
the idea that the quantum coherence displayed by it is already at
a maximum, and in fact it has been reported that the quantum entanglement
is indeed maximum in two pathways along the seven bacteriochlorophyll-a molecules in a single monomer.[4 ] But even if the structure of the current FMO is optimal for the
quantum coherent transport of excitons, the question of how it got
to be so remains unanswered. Since finding fossil records of a unicellular
organism containing an early FMO structure is next to impossible,
earlier versions or ancestors, had to be constructed backward by performing
a series of mutations on the reported structure of FMO found in P. aestuari and Chlorobium tepidium, a remarkable feat on its
own right. Through this careful examination of FMO’s amino
acid sequence, the authors were not only able to generate a phylogenetic
tree for the complex, but also they were able to evaluate the structural
robustness of the ancestors built by calculating changes in folding
free energy of the enveloping protein. The quantum properties related
to the quantum coherence present in the excitonic transport mechanism
were later calculated and compared to those observed in present-day
FMO-containing organisms; if the phylogenetic tree is truthful then
at some point the resemblance in the spectra would be lost and the
pathway up the tree would be discarded. From the absorption spectra
simulations, it seems that the ancestors under study are more closely
related to C. tepidium than to P. aestuari ; however, it remains to be seen if the phylogenetic tree is fully
covered or if all possibilities for its branching have been fully
accounted; most likely, a higher climb up the tree is still needed.
Much work lies ahead in the research of
the evolution of this fascinating complex and its quantum properties
of excitonic transport, but also about the role of the enveloping
protein in the photoprotection of the pigments and the evolution of
their specific arrangement as well as its influence on relative orientation
of the seven pigments, and even answering why seven and not six pigment
molecules are needed. Computational chemistry offers an advantageous
standpoint to assess the earlier forms of the FMO complex and the
more sophisticated algorithms currently available—such as neural
networks and machine learning techniques—will prove useful
in generating a more plausible line of ascent for this organ and others
involved in photosynthesis and any other biochemically relevant process;
however these studies can only be fruitful with an interdisciplinary
approach such as the one performed in this paper.
The study
of photosynthesis continues to be a broad topic of research for various
disciplines; it is not only the study of the origin of life but also
of its evolution, from bacteria to plants and the animals who are
nourished from them. Let us remember that cyanobacteria changed the
chemical composition of Earth’s atmosphere and its climate
through oxygenic photosynthesis during the Cambrian period roughly
two and a half billion years ago in what is known as the oxygen
catastrophe, a not-so-catastrophic event that cannot happen
again soon enough.
3 in total
Authors: Gregory S Engel; Tessa R Calhoun; Elizabeth L Read; Tae-Kyu Ahn; Tomás Mancal; Yuan-Chung Cheng; Robert E Blankenship; Graham R Fleming
Journal: Nature
Date: 2007-04-12 Impact factor: 49.962 Authors: Gregory D Scholes; Graham R Fleming; Lin X Chen; Alán Aspuru-Guzik; Andreas Buchleitner; David F Coker; Gregory S Engel; Rienk van Grondelle; Akihito Ishizaki; David M Jonas; Jeff S Lundeen; James K McCusker; Shaul Mukamel; Jennifer P Ogilvie; Alexandra Olaya-Castro; Mark A Ratner; Frank C Spano; K Birgitta Whaley; Xiaoyang Zhu
Journal: Nature
Date: 2017-03-29 Impact factor: 49.962 Authors: Jing Zhu; Sabre Kais; Alán Aspuru-Guzik; Sam Rodriques; Ben Brock; Peter J Love
Journal: J Chem Phys
Date: 2012-08-21 Impact factor: 3.488
3 in total
1 in total
Authors: Ryan Puskar; Chloe Du Truong; Kyle Swain; Saborni Chowdhury; Ka-Yi Chan; Shan Li; Kai-Wen Cheng; Ting Yu Wang; Yu-Ping Poh; Yuval Mazor; Haijun Liu; Tsui-Fen Chou; Brent L Nannenga; Po-Lin Chiu
Journal: Nat Commun
Date: 2022-10-03 Impact factor: 17.694
1 in total