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Alfred Russel Wallace

[ In the early 21st century, as well as in the previous century, many biologists have argued for a more informed and celebrated acknowledgement of the contributions to our understanding of evolution by the 19th century naturalist and contemporary of Charles Darwin, Alfred Russel Wallace (b. January 8, 1823; d. November 7, 1913).9

Self-organization section of life-draft for reorganizing

Self-organization

As the wind of time blows into the sails of space, the unfolding of the universe nurtures the evolution of matter under the pressure of information. From divided to condensed and on to organized, living, and thinking matter, the path is toward an increase in complexity through self-organization.. — Jean-Marie Lehn http://www.pnas.org/cgi/doi/10.1073/pnas.072065599

In living systems, the order we find results to a large degree through the ability of the system to organize itself, independently of a master controller, a program director, a blueprint, a template. Self-organization 'emerges' as a spontaneous manifestation of the interactions among the systems' components, of the system with the environment embedding it, influenced by the process of natural selection. In cells, self-organization emerges in part from so-called supramolecular (non-covalent) interactions of proteins-with-proteins and proteins with other molecules.   The proteins make their appearance through a genetic transcription-translation machinery, which itself represents a self-organized molecular machine that emerges in part from the non-covalent interactions of proteins with nucleic acids and other molecules. Jean-Marie Lehn, of the Institut de Science et d'Ingénierie Supramoléculaires, Université Louis Pasteur, summarizes it in this way:

A self-organization process may be considered to involve three main stages:

(i) molecular recognition for the selective binding of the basic components;

(ii) growth through sequential and eventually hierarchical binding of multiple components in the correct relative disposition; it may present cooperativity and nonlinear behavior; and

(iii) termination of the process, requiring a built-in feature, a stop signal, that specifies the end point and signifies that the process has reached completion.

Molecules interact by forming and breaking strong or weak covalent bonds, and also through weaker intermolecular interactions, like hydrogen bonding and Van der Waals forces. Those supramolecular interactions self-assemble aggregates of molecules (e.g., organelles, networks), giving them the properties that enable many biological processes.  To quote Reinhout and Crego-Calama:

In chemistry, noncovalent interactions are now exploited for the synthesis in solution of large supramolecular aggregates. The aim of these syntheses is not only the creation of a particular structure, but also the introduction of specific chemical functions in these supramolecules..

Again, J-M Lehn:

Starting with the investigation of the basis of molecular recognition, [supramolecular chemistry] has explored the implementation of molecular information in the programming of chemical systems towards self-organisation processes, that may occur either on the basis of design [by the chemist] or with selection of their components.

The qualifier that self-organization emerges in part from supramolecular interactions of proteins with proteins and other molecules reflects the need to invoke not only supramolecular self-assembly but also evolutionary mechanisms operating on random variation through selection of molecules and networks of molecules that tend to optimize the fitness of functional self-organization — in other words, Darwinian evolution, or adaptation, operating to influence the nature of the self-organizing process.

Other workers (e.g., Hoelzer et al. emphasize self-organization as playing an explanatory role for the process of natural selection: "….it is clear that the process of SO represents a potential explanation for adaptive biological evolution." Hoelzer et al. discuss that in terms of the physics of self-organizing processes — the extraction of work through channeling free energy gradients — showing a similar physics of natural selection, rendering self-organization and natural selection as complementary processes in sustaining living complex adaptive systems.

One must also invoke local real-time selective processes that confer stability and appropriate functionality to self-assembly, called homeostasis or adaptability. Thus, order emerges out of chaos.

Professor of Microbiology, Franklin M. Harold, offers the following definition of self-organization:

TEXT

...let me define self-organization as the emergence of supramolecular order from the interactions among numerous molecules that obey only local rules, without reference to an external template or global plan...The definition explicitly excludes order imposed by an external template, whether physical (as in a photocopier) or genetic (as in the specification of an amino acid sequence by a sequence of nucleotides)...The structure of the self-assembled complex is wholly specified by the structures of its parts and is therefore implicit in the genes that specify those parts: natural selection crafted those genes to specify parts that assemble into a functional complex.

Information resides in proteins and other molecules in virtue of their structure, and through them, information flows through cells, just as energy does, and determines their organizational nature.

One way to understand this self-organization is to view a living system as a 'computing device'. The inherited and acquired information base specifies components which arrange themselves in accord with their physico-chemical properties — i.e., they 'compute' the system in a complex chemical reaction. Yet that description under-characterizes the complexity of the system. In a multicellular organism, each cell retrieves only its own particular pieces of information from the total information base, and the selection varies with time. Each cell must perform specific computations to effect that dynamic activity. The behavior of the system's functional networks constitute those specific dynamic computations. The apparent circularity begat by adding that further characterization of the system as a 'computing device' exemplifies two-way nature of the 'computations' self-organizing the living system. With the tinkering and discovering comprising local trial-and-error and evolution’s handiwork, that 'circularity' carries out ('computes') integrative functions not explicitly encoded in the inherited and acquired information base of the system.

The molecular biologist Sidney Brenner expressed the 'computing device' metaphor this way:

...biological systems can be viewed as special computing devices. This view emerges from considerations of how information is stored in and retrieved from the genes. Genes can only specify the properties of the proteins they code for, and any integrative properties of the system must be 'computed' by their interactions. This provides a framework for analysis by simulation and sets practical bounds on what can be achieved by reductionist models.

The structure and behavior of self-organized systems need no behind-the-scenes 'master controller', and no prepared blueprints that specify the structure and dynamics of the system. Instead, they emerge from interactions among the naturally generated and naturally selected components of a system, dictated by their physico-chemical properties, and dynamically modified by the emergent organization, which is itself modified by the environment. The single-celled zygote self-organizes into a multicellular living system as genetically encoded proteins interact, responding to changing influences from the changing environment generated by growing multicellularity — becoming a network of many cell-types working cooperatively.

That biological systems self-organize has led one prominent biologist to say they are products of a "blind watchmaker".

Self-organization tends to breed greater complexity of self-organization. One important aspect of self-organization in cells rests on the tendency for lipid molecules with polar (water-loving) and non-polar (water-shunning) ends to form bilayers in an aqueous solution, each unit of the bilayer with two lipid non-polar ends mutually attracted in the center and the polar ends surrounded by water. Protein molecules can span the bilayer membrane, or selectively straddle only one or the other side of the membrane and its aqueous surrounding, according to their specific amino-acid sequence and side-groups. Those lipid-protein membranes allow cells to communicate with other cells, either in free-living cellular communities or in multicellular organisms, and those communication activities self-organize by virtue of the properties of the cells, generated by natural experiments and selected for fitness by evolutionary mechanisms, and subject to downward effects by the systems' organization and environmental influences on the systems.

Self-organization occurs at all levels of living systems. For example, the dynamics of communities, such as the feeding relationships within communities of large mammals, also reflect self-organization. The animals and components of the ecosystem embedding them self-organize, resulting in "...unitary structures with coherent properties...[that] can operate in an integrated way, which allows for the acceptance of their changes on large time-scales as evolutionary."

Further elaborating the descriptions of living systems beyond the thermodynamic and evolutionary perspectives, we might say that:

A living system: Has the ability to organize itself into a spatio-temporal dynamic organization Self-organization emerges as a spontaneous manifestation of the physico-chemical interactions among the system's components.