- Ph.D., University of Minnesota, 1977
Michael Lynch
Distinguished Professor Emeritus, Biology
Class of 1954 Professor Emeritus, Biology
Director of the Biodesign Institute for Mechanisms of Evolution, Arizona State University
Distinguished Professor Emeritus, Biology
Class of 1954 Professor Emeritus, Biology
Director of the Biodesign Institute for Mechanisms of Evolution, Arizona State University
Member, US National Academy of Sciences, 2009
Fellow, American Academy of Arts and Sciences, 2002
Our research focused on mechanisms of evolution at the gene, genomic, cellular, and phenotypic levels, with special attention being given to the roles of mutation, random genetic drift, and recombination. For these purposes, we utilized several model systems, most notably the microcrustacean Daphnia, the ciliate Paramecium, and numerous additional unicellular eukaryotes and prokaryotes. In addition, comparative analyses of completely sequenced genomes were performed to shed light on issues concerning the origins of genomic, gene-structural, and cellular diversity. Most of our empirical work was integrated with the development and use of mathematical theory in an effort to develop a formal understanding of the constraints on the evolutionary process. Evolution is a population-level process, and the underlying philosophy of our research was that “nothing in evolution makes sense except in the light of population genetics.”
The Evolution of Genome Architecture. It is commonly assumed that a causal link exists between complexity at the genomic and organismal levels. However, using population-genetic principles as a guide to understanding the evolution of duplicate genes, introns, mobile-genetic elements, and regulatory-region complexity, our work advanced the hypothesis that much of eukaryotic genome complexity initially evolved as a passive indirect response to reduced population size (relative to the situation in prokaryotes). One of the primary goals of our work on gene duplication was to explain the shortcomings of the classical model, which postulates that the usual fate of a duplicated gene is either conversion to a nonfunctional pseudogene or acquisition of a new function. We believe that duplicate genes are frequently preserved through a partitioning of functions of ancestral genes (subfunctionalization), rather than by the evolution of new functions.
Our empirical work on the evolutionary fates of duplicate genes was focused on the genomes of species within the Paramecium aurelia complex, which arose as a cryptic species radiation following two whole-genome duplication events (dating to nearly a billion years ago). Sequencing the complete genomes of the members of this lineage, along with the pre-duplication outgroup species, was revealing the degree to which specific members of duplicate-gene pairs are lost/preserved in parallel or divergently resolved in sister taxa, and work on subcellular localization was helping reveal the mechanisms of subfunctionalization. We had hoped to fully ascertain the regulatory vocabulary (transcription-factor binding sites) of the members of this complex and how this has diverged over time, and how the functions of various proteins evolve across lineages.
Our work on intron evolution was focused on the hypothesis that newly arisen introns are typically mildly deleterious. A major goal was to understand how introns eventually came to be integrated into fundamental aspects of gene-transcript processing. Empirical work in this area was pursued with populations of Daphnia, which revealed an unprecedented level of intron gain (to the extent that presence/absence polymorphisms, as well as parallel intron gains, can be found within populations). We hoped that this work will eventually yield an answer to the long-term mystery as to the origins of introns.
Finally, to empirically determine the response of genomes to alterations in population effective sizes and mutation rates, we initiated long-term experiments with highly replicated populations of the bacterium Escherichia coli. Some of the goals of this experiment included testing the mutational-hazard theory of genome evolution, ascertaining the degree to which the pathways taken by evolution are repeatable, understanding how the mutation rate evolves in different population-genetic environments, and determining whether population bottlenecks induce heritable problems in protein folding and challenges for chaperone systems.
The Role of Mutation in Evolution. Although mutations provide the ultimate material upon which natural selection depends, most mutations are deleterious, and in certain settings can lead to a substantial fitness load. We attempted to understand the nearly 1000-fold range of variation in the mutation rate that exists across the Tree of Life, through the study of a diversity of invertebrates and unicellular eukaryotes and prokaryotes. This work exploited a mutation-accumulation strategy in which lines were propagated as single individuals to minimize the ability of natural selection to influence the fate of newly arisen mutations, often for hundreds to thousands of generations. Molecular analyses of these lines by complete-genome sequencing were yielding the first direct quantitative estimates of the rate and spectrum of mutations at the DNA level, revealing a dramatic scaling of the mutation rate with genome size, an apparently universal mutation pressure towards AT composition, and many other previously unknown mutational features. This work was extended to ~30 bacterial species, ranging widely in genome size and nucleotide composition.
In addition, we developed a novel method that allowed us to estimate transcription error rates and the degree to which these vary among eukaryotic lineages. Remarkably, error rates at this level were typically >1000x those at the level of genome replication. The implication was that >1% of transcripts typically contain an erroneous base.
Our work on mutation extended to the development of population-genetic theory for the evolution of the mutation rate itself, and to obtaining a general understanding of the consequences of somatic mutations for the evolution of multicellularity. Here, we promoted the idea that the power of random genetic drift imposes a lower bound to the degree to which natural selection can reduce the mutation rate. This drift-barrier hypothesis seemed to support a number of previously disconnected observations, including the increase in the mutation rate with reductions in effective population size, the magnified error rates associated with DNA polymerases and repair enzymes used only infrequently in replication, and the extraordinarily high rates of base misincorporation into transcripts.
The Role of Recombination in Evolution. Sexual recombination provides a powerful means for producing multi-locus genotypes with high fitness, but also has the negative side-effect of breaking apart coadaptive complexes of alleles. A great deal of theory has been developed to help explain the phylogenetic distribution of recombination, but the key biological observations for testing the various hypotheses remained to be developed. To help provide a mechanistic understanding of the causes and consequences of the loss of recombination, we studied the microcrustacean Daphnia pulex, which consists of both sexual and asexual races of various evolutionary ages. Specific projects included: the isolation and characterization of the genes responsible for meiosis suppression in obligate asexuals; quantification of the rate of accumulation of deleterious mutations in asexual vs. sexual lineages; estimation of the rate and tempo of allele and genotype turnover in natural populations; and the quantification of the influence of recombination on the activity of mobile genetic elements. The asexual lineages in this species complex were remarkably young (often <100 years), apparently owing to rapid extinction resulting from the “loss of heterozygosity” and exposure of pre-existing deleterious alleles by gene conversion, rather than from the accumulation of de novo mutations.
Our overall work on Daphnia genomics extended well beyond the above-mentioned work, having most recently morphed into a much larger endeavor – the “5000 Genomes Project,” which was supporting the sequencing of ~100 genomes from each of ~50 populations, some of which have experienced extreme population bottlenecks. This study was expected to yield an unprecedented understanding of the genomic features of natural populations.
Methodology for the Analysis of High-Throughput Genomic Data. The rapid emergence of technological innovations in genome sequencing has resulted in a situation where it is now possible to sequence multiple genomes from natural populations. In anticipation of such data, and the enormous challenges that come with them (most notably, incomplete sampling of parental alleles and errors in sequence reads), we began to develop a new generation of maximum-likelihood methods for estimating a broad array of population-genetic parameters, including nucleotide heterozygosity, linkage disequilibrium, the allele-frequency spectrum, and population subdivision. Applications of these methods involved the quantification of the above-mentioned parameters in a variety of taxa. Particular emphasis was focused on the estimation of patterns of linkage disequilibrium in natural populations, and using this information to estimate effective population sizes, recombination frequencies, and gene-conversion tract lengths.
Evolutionary Cell Biology. Remarkably, although we have fairly well-established fields of molecular evolution, genome evolution, and phenotypic evolution, there is no comprehensive field of evolutionary cell biology. Yet, one could argue that the resources that link molecular and phenotypic evolution reside at the level of cellular architecture. Thus, we began to explore the potential for linking evolutionary theory with various observations from comparative cell biology. Some interests included the evolution of multimeric proteins, the evolution of cellular surveillance mechanisms, and the limits to molecular perfection imposed by the barrier of random genetic drift. To this end, members of the lab studied issues related to vesicle transport and gene expression using the Paramecium system, as well as comparative issues regarding protein architecture. A local journal club in the area, as well as a graduate class in Evolution of Proteins and Cells emerged from these interests. Time will tell whether this foray into cell biology was a worthwhile venture.