In chapter
I used a simple model of gene library evolution
to investigate the scaling of the survival probability of an organism
with the number of antibodies in its repertoire. I showed that for
distributions of the antibody-antigen bond strength that I consider of
biological relevance, the survival probability of the organism
increases logarithmically, or sublogarithmically, with the size of its
germline-encoded antibody repertoire. This suggests that the role of
germline-encoded immune receptor genes is not specific recognition of
individual pathogens, but rather a coarse-grain encoding of the region
of the pathogen universe that the species has encountered in
evolution. I showed that such an encoding can be achieved if an
individual is confronted with a large fraction of the possible
pathogens in its life time. High-affinity recognition of a pathogen
would then have to be achieved through fine-tuning of the antigen
receptor during an immune response. If the number of pathogens that
the organism encounters is comparable with the number of receptors
that it can encode in germline, then a static pathogenic environment
would result in better learning of the training set. However, if the
pathogenic environment changes, the performance of the immune system
would be lower on the pathogens that it encountered, but it would be
higher on random pathogens. The reason for this behavior, which one
might view as robustness, is that, although static pathogenic
environments result in specialized libraries, dynamic pathogenic
environments induce essentially random antibody libraries.