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Fate maps depict how cells relate together through past lineage relationships, and are useful tools for studying developmental and somatic processes. However, with existing technologies, it has not been possible to generate detailed fate maps of complex organisms such as the mouse. We and others have therefore proposed a novel approach, "phylogenetic fate mapping," where patterns of somatic mutation carried by the individual cells of an animal are used to retrospectively deduce lineage relationships through phylogenetic inference. Here, we have cataloged genomic polymorphisms at 324 mutation-prone polyguanine tracts for nearly 300 cells isolated from a single mouse, and have explored the cells' lineage relationships both phylogenetically and through a network-based approach. We present a model of mouse embryogenesis, where an early period of substantial cell mixing is followed by more coherent growth of clones later. We find that cells from certain tissues have greater numbers of close relatives in other specific tissues than expected from chance, suggesting that those populations arise from a similar pool of ancestral lineages. Finally, we have investigated the dynamics of cell turnover (the frequency of cell loss and replacement) in postnatal tissues. This work offers a longitudinal study of developmental lineages, from conception to adulthood, and provides insight into basic questions of mouse embryology as well as the somatic processes that occur after birth.

Mutations are an inevitable consequence of cell division. Similarly to how DNA sequence differences allow inferring evolutionary relationships between organisms, we and others have recently demonstrated how somatic mutations may be exploited for phylogenetically reconstructing lineages of individual cells during development in multicellular organisms. However, a problem with such "phylogenetic fate maps" is that they cannot be verified experimentally; distinguishing actual lineages within clonal populations requires direct observation of cell growth, as was used to construct the fate map of Caenorhabditis elegans, but is not possible in higher organisms. Here we employ computer simulation of mitotic cell division to determine how factors such as the quantity of cells, mutation rate, and the number of examined marker sequences contribute to fidelity of phylogenetic fate maps and to explore statistical methods for assessing accuracy. To experimentally evaluate these factors, as well as for the purpose of investigating the developmental origins of connective tissue, we have produced a lineage map of fibroblasts harvested from various organs of an adult mouse. Statistical analysis demonstrates that the inferred relationships between cells in the phylogenetic fate map reflect biological information regarding the origin of fibroblasts and is suggestive of cell migration during mesenchymal development.

Metrics of phylogenetic tree reliability, such as parametric bootstrap percentages or Bayesian posterior probabilities, represent internal measures of the topological reproducibility of a phylogenetic tree, while the recently introduced aLRT (approximate likelihood ratio test) assesses the likelihood that a branch exists on a maximum-likelihood tree. Although those values are often equated with phylogenetic tree accuracy, they do not necessarily estimate how well a reconstructed phylogeny represents cladistic relationships that actually exist in nature. The authors have therefore attempted to quantify how well bootstrap percentages, posterior probabilities, and aLRT measures reflect the probability that a deduced phylogenetic clade is present in a known phylogeny. The authors simulated the evolution of bacterial genes of varying lengths under biologically realistic conditions, and reconstructed those known phylogenies using both maximum likelihood and Bayesian methods. Then, they measured how frequently clades in the reconstructed trees exhibiting particular bootstrap percentages, aLRT values, or posterior probabilities were found in the true trees. The authors have observed that none of these values correlate with the probability that a given clade is present in the known phylogeny. The major conclusion is that none of the measures provide any information about the likelihood that an individual clade actually exists. It is also found that the mean of all clade support values on a tree closely reflects the average proportion of all clades that have been assigned correctly, and is thus a good representation of the overall accuracy of a phylogenetic tree.

Recent, surprising, and controversial discoveries have challenged conventional concepts regarding the origins and plasticity of stem cells, and their contributions to tissue regeneration, and highlight just how little is known about mammalian development in comparison to simpler model organisms. In the case of the transparent worm, Caenorhabditis elegans, Sulston and colleagues used a microscope to record the birth and death of every cell during its life, and the compilation of this "fate map" represents a milestone achievement of developmental biology. Determining a fate map for mammals or other higher organisms is more complicated because they are opaque, take a long time to mature, and have a tremendous number of cells. Consequently, fate mapping experiments have relied on tagging a progenitor cell with a dye or genetic marker in order to later identify its descendants. This approach, however, extracts little information because it demonstrates that a population of cells, all having inherited the same label, shares a common ancestor, but it does not reveal how cells in that population are related to one another. To avoid that problem, as well as technical limitations of current methods for mapping cell fate, we, and others, have developed a new strategy for retrospectively deriving cell fate maps by using phylogenetics to infer the order in which somatic mutations have arisen in the genomes of individual cells during development in multicellular organisms. DNA replication inevitably introduces mutations, particularly at repetitive sequences, every time a cell divides. It is thus possible to deduce the history of cell divisions by cataloging somatic mutations and phylogenetically reconstructing cell lineage. This approach has the potential to produce a complete mammalian cell fate map that, in principle, could describe the developmental lineage of any cell and help resolve outstanding questions of stem cell biology, tissue repair and maintenance, and aging.

Cell fate maps describe how the sequence of cell division, migration, and apoptosis transform a zygote into an adult. Yet, it is only in Caenorhabditis elegans where microscopic observation of each cell division has allowed for construction of a complete fate map. More complex, and opaque, animals prove less yielding. DNA replication, however, generates somatic mutations. Consequently, multicellular organisms comprise mosaics where most cells acquire unique genomes that are potentially capable of delineating their ancestry. Here we take a phylogenetic approach to passively retrace embryonic relationships by deducing the order in which mutations have arisen during development. We show that polyguanine repeat DNA sequences are particularly useful genetic markers, because they frequently change length during mitosis. To demonstrate feasibility, we phylogenetically reconstruct the lineage of cultured mouse NIH 3T3 cells based on mutations affecting the length of polyguanine markers. We then employ whole genome amplification to genotype polyguanine markers in single cells taken from a mouse and use phylogenetics to infer the developmental relationships of the sampled tissues. The result is consistent with the present understanding of embryogenesis and demonstrates the large scale potential of this method for producing a complete mammalian cell fate at the resolution of a single cell.

The metallo-beta-lactamases constitute Class B in the Ambler classification of beta-lactamases and are divided into three subclasses: Bl, B2, and B3. Bayesian phylogenies of the Subclass B1 + B2 and Subclass B3 metallo-beta-lactamases and their homologs show that the beta-lactam-hydrolyzing function evolved independently within each group. In Subclass B1+B2 that function evolved about 1 billion years ago, and in Subclass B3 it evolved before the divergence of the Gram-positive and Gram-negative eubacteria, about 2 billion years ago. These results lend additional support to the proposal that the metallo-beta-lactamases should be divided into two distinct classes.

The Ambler Class B metallo-beta-lactamases fall into two distinct phylogenetic groups based on the observation that there is no significant sequence homology between the sequences of members of different groups. Structural alignments confirm that those groups are no more closely related to each other than are the three classes of serine beta-lactamases, Classes A, C, and D. We present phylogenies of these two groups and suggest a new classification scheme for the beta-lactamases.

The AAC(6') enzymes inactivate aminoglycoside antibiotics by acetylating their substrates at the 6' position. Based on functional similarity and size similarity, the AAC(6') enzymes have been considered to be members of a single family. Our phylogenetic analysis shows that the AAC(6') enzymes instead belong to three unrelated families that we now designate as [A], [B], and [C] and that aminoglycoside acetylation at the 6' position has evolved independently at least three times. AAC(6')-Iaa is a typical member of the [A] family in that it acetylates tobramycin, kanamycin, and amikacin effectively but acetylates gentamicin ineffectively. The potential of the aac(6')-Iaa gene to increase resistance to tobramycin, kanamycin, or amikacin or to acquire resistance to gentamicin was assessed by in vitro evolution. Libraries of PCR mutagenized alleles were screened for increased resistance to tobramycin, kanamycin, and amikacin, but no isolates that conferred more resistance than the wild-type gene were recovered. The library sizes were sufficient to conclude with 99.9% confidence that no single amino acid substitution or combination of two amino acid substitutions in aac(6')-Iaa is capable of increasing resistance to the antibiotics used. It is therefore very unlikely that aac(6')-Iaa of S. typhimurium LT2 has the potential to evolve increased aminoglycoside resistance in nature. The practical implications of being able to determine the evolutionary limits for other antibiotic resistance genes are discussed.

Corynebacterium jeikeium is an opportunistic pathogen which has been noted for significant genomic diversity. The population structure within this species remains poorly understood. Here, we explore the relationships among 15 clinical isolates of C. jeikeium (reference strains K411 and ATCC 43734, and 13 primary isolates collected over a period of 7 years) through genetic, genomic, and phenotypic studies. We report a high degree of divergence among strains based on 16S ribosomal RNA (rRNA) gene and rpoB gene sequence analysis, supporting the presence of genetically distinct subgroups. Whole genome sequencing indicates genomic-level dissimilarity among subgroups, which qualify as four separate and distinct Corynebacterium species based on an average nucleotide identity (ANIb) threshold of <95%. Functional distinctions in antibiotic susceptibilities and metabolic profiles characterize two of these genomospecies, allowing their differentiation from others through routine laboratory testing. The remaining genomospecies can be classified through a biphasic approach integrating phenotypic testing and rpoB gene sequencing. The genomospecies predominantly recovered from patient specimens does not include either of the existing C. jeikeium reference strains, implying that studies of this pathogen would benefit from examination of representatives from the primary disease-causing group. The clinically dominant genomospecies also has the smallest genome size and gene repertoire, suggesting the possibility of increased virulence relative to the other genomospecies. The ability to classify isolates to one of the four C. jeikeium genomospecies in a clinical context provides diagnostic information for tailoring antimicrobial therapy and may aid in identification of species-specific disease associations. [ABSTRACT FROM AUTHOR]

The metallo-β-lactamases constitute Class B in the Ambler classification of β-lactamases and are divided into three subclasses: Bl, B2, and B3. Bayesian phylogenies of the Subclass B1+B2 and Subclass B3 metallo-β-lactamases and their homologs show that the β-lactam-hydrolyzing function evolved independently within each group. In Subclass B1+B2 that function evolved about 1 billion years ago, and in Subclass B3 it evolved before the divergence of the Gram-positive and Gram-negative eubacteria, about 2 billion years ago. These results lend additional support to the proposal that the metallo-β-lactamases should be divided into two distinct classes. [ABSTRACT FROM AUTHOR]

The Ambler Class B metallo-β-lactamases fall into two distinct phylogenetic groups based on the observation that there is no significant sequence homology between the sequences of members of different groups. Structural alignments confirm that those groups are no more closely related to each other than are the three classes of serine β-lactamases, Classes A, C, and D. We present phylogenies of these two groups and suggest a new classification scheme for the β-lactamases. [ABSTRACT FROM AUTHOR]

Because mutations are inevitable, the genome of each cell in a multicellular organism becomes unique and therefore encodes a record of its ancestry. Here we coupled arbitrary single primer PCR with next-generation DNA sequencing to catalog mutations and deconvolve the phylogeny of cultured mouse cells. This study helps pave the way toward construction of retrospective cell-fate maps based on mutations accumulating in genomes of somatic cells. [ABSTRACT FROM AUTHOR]