There is no widely accepted concept of species for prokaryotes, and assignment of isolates to species is based on measures of phenotypic or genome similarity. The current methods for defining prokaryotic species are inadequate and incapable of keeping pace with the levels of diversity that are being uncovered in nature. Prokaryotic taxonomy is being influenced by advances in microbial population genetics, ecology and genomics, and by the ease with which sequence data can be obtained. Here, we review the classical approaches to prokaryotic species definition and discuss the current and future impact of multilocus nucleotide-sequence-based approaches to prokaryotic systematics. We also consider the potential, and difficulties, of assigning species status to biologically or ecologically meaningful sequence clusters.

MLSTs Abstract Bacterial systematics has not yet reached a consensus for defining the fundamental unit of biological diversity, the species. The past half-century of bacterial systematics has been characterized by improvements in methods for demarcating species as phenotypic and genetic clusters, but species demarcation has not been guided by a theory-based concept of species. Eukaryote systematists have developed a universal concept of species: A species is a group of organisms whose divergence is capped by a force of cohesion; divergence between different species is irreversible; and different species are ecologically distinct. In the case of bacteria, these universal properties are held not by the named species of systematics but by ecotypes. These are populations of organisms occupying the same ecological niche, whose divergence is purged recurrently by natural selection. These ecotypes can be discovered by several universal sequence-based approaches. These molecular methods suggest that a typical named species contains many ecotypes, each with the universal attributes of species. A named bacterial species is thus more like a genus than a species.

Horizontal genetic transfer (HGT) has played an important role in bacterial evolution at least since the origins of the bacterial divisions, and HGT still facilitates the origins of bacterial diversity, including diversity based on antibiotic resistance. Adaptive HGT is aided by unique features of genetic exchange in bacteria such as the promiscuity of genetic exchange and the shortness of segments transferred. Genetic exchange rates are limited by the genetic and ecological similarity of organisms. Adaptive transfer of genes is limited to those that can be transferred as a functional unit, provide a niche-transcending adaptation, and are compatible with the architecture and physiology of other organisms. Horizontally transferred adaptations may bring about fitness costs, and natural selection may ameliorate these costs. The origins of ecological diversity can be analyzed by comparing the genomes of recently divergent, ecologically distinct populations, which can be discovered as sequence clusters. Such genome comparisons demonstrate the importance of HGT in ecological diversification. Newly divergent populations cannot be discovered as sequence clusters when their ecological differences are coded by plasmids, as is often the case for antibiotic resistance; the discovery of such populations requires a screen for plasmid-coded functions. This paper reviews the features of bacterial genetics that allow HGT, the similarities between organisms that foster HGT between them, the limits to the kinds of adaptations that can be transferred, and amelioration of fitness costs associated with HGT; the paper also reviews approaches to discover the origins of new, ecologically distinct bacterial populations and the role that HGT plays in their founding.

The central questions of bacterial ecology and evolution require a method to consistently demarcate, from the vast and diverse set of bacterial cells within a natural community, the groups playing ecologically distinct roles (ecotypes). Because of a lack of theorybased guidelines, current methods in bacterial systematics fail to divide the bacterial domain of life into meaningful units of ecology and evolution. We introduce a sequence-based approach (''ecotype simulation'') to model the evolutionary dynamics of bacterial populations and to identify ecotypes within a natural community, focusing here on two Bacillus clades surveyed from the ''Evolution Canyons'' of Israel. This approach has identified multiple ecotypes within traditional species, with each predicted to be an ecologically distinct lineage; many such ecotypes were confirmed to be ecologically distinct, with specialization to different canyon slopes with different solar exposures. Ecotype simulation provides a longneeded natural foundation for microbial ecology and systematics.

Bacterial systematists face unique challenges when trying to identify ecologically meaningful units of biological diversity. Whereas plant and animal systematists are guided by a theory-based concept of species, microbiologists have yet to agree upon a set of ecological and evolutionary properties that will serve to define a bacterial species. Advances in molecular techniques have given us a glimpse of the tremendous diversity present within the microbial world, but significant work remains to be done in order to understand the ecological and evolutionary dynamics that can account for the origin, maintenance, and distribution of that diversity. We have developed a conceptual framework that uses ecological and evolutionary theory to identify the DNA sequence clusters most likely corresponding to the fundamental units of bacterial diversity. Taking into account diverse models of bacterial evolution, we argue that bacterial systematics should seek to identify ecologically distinct groups with evidence of a history of coexistence, as based on interpretation of sequence clusters. This would establish a theory-based species unit that holds the dynamic properties broadly attributed to species outside of microbiology.

All living organisms fall into discrete clusters of closely related individuals on the basis of gene sequence similarity. Evolutionary genetic theory predicts that in the bacterial world, each sequence similarity cluster should correspond to an ecologically distinct population. Indeed, surveys of sequence diversity in proteincoding genes show that sequence clusters correspond to ecological populations. Future population surveys of protein-coding gene sequences can be expected to disclose many previously unknown ecological populations of bacteria. Sequence similarity clustering in protein-coding genes is recommended as a primary criterion for demarcating taxa.For two decades, systematists have applied whole-genome hybridization as a universal criterion for demarcating species of bacteria: systematists have widely recognized bacterial species as phenotypically distinct groups of strains with 70% or greater annealing of genomic fragments in DNA-DNA hybridization (36,85). This criterion has been widely used because it can be easily applied to any taxon, and most importantly, the groupings of bacteria based on DNA-DNA hybridization are often the same as those based on phenotypic characters and ecology (36).However, it is becoming increasingly evident that any particular cut-off value (such as 70%) is arbitrary and not guaranteed to yield groups of bacteria that correspond to real ecological units (82). Also, it is not clear what determines the fraction of genomic segments that anneal in hybridization experiments (82; but see reference 43): is it the fraction of genes that are shared or the sequence similarity at shared gene loci? Accordingly, no evolutionary genetic theory predicts why groups of strains with greater than 70% annealing should correspond to ecologically distinct populations.There is, however, another molecular approach that may provide a universal criterion for classifying bacterial diversity. This approach relies on the observation that all living organisms, both prokaryotic and eukaryotic, fall into clusters of closely related organisms based on the sequence similarity of shared genes (1, 15,48). That is, bacteria and other organisms fall into clearly distinct sequence clusters, where the average sequence divergence between strains of different clusters is far greater than the average divergence between strains of the same cluster. Recent theory has suggested that each sequence similarity cluster observed in the bacterial world might correspond to an ecologically distinct population (14, 15, 17, 18). If this conjecture is correct, then a classification system based on sequence clusters would have a theoretical grounding that is lacking in the genomic hybridization approach.In this study, we will demonstrate that the DNA sequences of protein-coding genes are more effective than DNA-DNA hybridization for classifying the ecological diversity of bacteria. We first extend the theoretical argument of Cohan (14) that

Bacteria are profoundly different from eukaryotes in their patterns of genetic exchange. Nevertheless, ecological diversity is organized in the same way across all of life: individual organisms fall into more less discrete clusters on the basis of their phenotypic, ecological, and DNA sequence characteristics. Each sequence cluster in the bacterial world appears to correspond to an "ecotype," defined as a population of cells in the same ecological niche, which would all be out-competed by any adaptive mutant coming from the population. Ecotypes, so defined, share many of the dynamic properties attributed to eukaryotic species: genetic diversity within an ecotype is limited by a force of cohesion (in this case, periodic selection); different ecotypes are free to diverge without constraint from one another; and ecotypes are ecologically distinct. Also, ecotypes can be discovered and classified as DNA sequence clusters, even when we are ignorant of their ecology. Owing to the rarity and promiscuity of bacterial genetic exchange, speciation in the bacterial world is expected to be much less constrained than in the world of animals and plants.

In microbial mat communities of Yellowstone hot springs, ribosomal RNA (rRNA) sequence diversity patterns indicate the presence of closely related bacterial populations along environmental gradients of temperature and light. To identify the functional bases for adaptation, we sequenced the genomes of two cyanobacterial (Synechococcus OS-A and OS-B 0 ) isolates representing ecologically distinct populations that dominate at different temperatures and are major primary producers in the mat. There was a marked lack of conserved large-scale gene order between the two Synechococcus genomes, indicative of extensive genomic rearrangements. Comparative genomic analyses showed that the isolates shared a large fraction of their gene content at high identity, yet, differences in phosphate and nitrogen utilization pathways indicated that they have adapted differentially to nutrient fluxes, possibly by the acquisition of genes by lateral gene transfer or their loss in certain populations. Comparisons of the Synechococcus genomes to metagenomic sequences derived from mats where these Synechococcus stains were originally isolated, revealed new facets of microbial diversity. First, Synechococcus populations at the lower temperature regions of the mat showed greater sequence diversity than those at high temperatures, consistent with a greater number of ecologically distinct populations at the lower temperature. Second, we found evidence of a specialized population that is apparently very closely related to Synechococcus OS-B 0 , but contains genes that function in the uptake of reduced ferrous iron. In situ expression studies demonstrated that these genes are differentially expressed over the diel cycle, with highest expression when the mats are anoxic and iron may be in the reduced state. Genomic information from these mat-specific isolates and metagenomic information can be coupled to detect naturally occurring populations that are associated with different functionalities, not always represented by isolates, but which may nevertheless be important for niche partitioning and the establishment of microbial community structure.