Genetic language: metaphore or analogy?

Reconfiguring the Challenge of Biological Complexity as a Resource for Biodesign

Biological complexity is widely seen as the central, intractable challenge of engineering biology. Yet this challenge has been constructed through the field's dominant metaphors. Alternative ways of thinking-latent in progressive experimental approaches, but rarely articulated as such-could instead position complexity as engineering biology's greatest resource. We outline how assumptions about engineered microorganisms have been built into the field, carried by entrenched metaphors, even as contemporary methods move beyond them. We suggest that alternative metaphors would better align engineering biology's conceptual infrastructure with the field's move away from conventionally engineering-inspired methods toward biology-centric ones. Innovating new conceptual frameworks would also enable better aligning scientific work with higher-level conversations about that work. Such innovation-thinking about how engineering microbes might be more like user-centered design than like programming a computer or building a car-could highlight complexity as a resource to leverage, not a problem to erase or negate.

Different clustering of genomes across life using the A-T-C-G and degenerate R-Y alphabets: early and late signaling on genome evolution?

In this study, we have calculated distances between genomes based on our previously developed compositional spectra (CS) analysis. The study was conducted using genomes of 39 species of Eukarya, Eubacteria, and Archaea. Based on CS distances, we produced two different consensus dendrograms for four- and two-letter (purine-pyrimidine) alphabets. A comparison of the obtained structure using purine-pyrimidine alphabet with the standard three-kingdom (3K) scheme reveals substantial similarity. Surprisingly, this is not the case when the same procedure is based on the four-letter alphabet. In this situation, we also found three main clusters-but different from those in the 3K scheme. In particular, one of the clusters includes Eukarya and thermophilic bacteria and a part of the considered Archaea species. We speculate that the key factor in the last classification (based on the A-T-G-C alphabet) is related to ecology: two ecological parameters, temperature and oxygen, distinctly explain the clustering revealed by compositional spectra in the four-letter alphabet. Therefore, we assume that this result reflects two interdependent processes: evolutionary divergence and superimposed ecological convergence of the genomes, albeit another process, horizontal transfer, cannot be excluded as an important contributing factor.

Sequence complexity and DNA curvature

A linguistic complexity measure was applied to the complete genomes of HIV-1, Escherichia coli, Bacillus subtilis, Haemophilus influenzae, Mycoplasma genitalium, and to long human and yeast genomic fragments. Complexity values averaged over entire genomic sequences were compared, as were predicted average values of intrinsic DNA curvature. We found that both the most curved and the least complex fragments are located preferentially in non-coding parts of the genome. Analysis of location of the most curved and the simplest regions in bacteria showed that the low-complexity segments are preferentially located in close proximity to the highly curved sequences, which are, in turn, placed from 100 to 200 bases upstream to the start of the nearest coding sequence. We conclude that the parallel analysis of sequence complexity and DNA curvature might provide important information about sequence-structure-function relationship in genomes.

The organisations of hereditary information

The meaning of hereditary information is not simple. It includes not only what a system receives and transmits but particularly what it makes. The syntactic basis to hereditary information is also not straightforward. For example, is DNA instructions, or data, or both? The answer to this question requires an appreciation of the meaning of the information yet there are a number of possible semantic systems for describing hereditary information including proteins and development. The descriptive boundaries of hereditary information are examined by locating some general organising themes including hierarchy, ecology, regulation, epigenetic systems and talkback. Though metaphors have limits in terms of their explanatory power a number have influenced the development of biological thinking and biosystems have variously been represented as chemical laboratories, computers, electromechanical machines and societies. In this article a further metaphor is discussed, that of life-as-a-play or dance in which the trio of script (genome), cast (metabolism) and stage (cellular structure) co-exist and pre-exist the phenotypic life history which inherits them. A fuller examination of this trio provides an important perspective on the study of the organisations of information processing in hereditary systems.

Prediction of function in DNA sequence analysis

Recognition of function of newly sequenced DNA fragments is an important area of computational molecular biology. Here we present an extensive review of methods for prediction of functional sites, tRNA, and protein-coding genes and discuss possible further directions of research in this area.