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Identification, mapping, and phylogenomic analysis of four new human members of the T-box gene family: EOMES, TBX6, TBX18, and TBX19.

Brachyury(T) is a mouse mutation, first described over 70 years ago, that causes defects in mesoderm formation. Recently several related genes, the T-box gene family, that encode a similar N-terminal DNA binding domain, the T-box, and that play critical roles in human embryonic development have been identified. It has been shown that human TBX5 and TBX3, if mutated, cause developmental disorders, Holt-Oram syndrome (OMIM 142900) and ulnar-mammary syndrome (OMIM 181450), respectively. We have identified four new human members of the T-box gene family, EOMES, TBX6, TBX18, and TBX19, and these genes have been mapped to different chromosomal regions by radiation hybrid mapping. The four T-box genes were classified into four different subfamilies and have also been subjected to phylogenomic analysis. Human EOMES maps at 3p21.3-p21.2. This Tbr1-subfamily gene is likely to play a significant role in early embryogenesis similar to that described for Xenopus eomesodermin. Human TBX6 maps at 16p12-q12. This Tbx6-subfamily gene is likely to participate in paraxial mesoderm formation and somitogenesis in human embryo. TBX18 is a novel member of the Tbx1 subfamily that maps at 6q14-q15. Two subgroups, TBX1/10 and TBX15/18 subgroups, could be distinguished within the Tbx1 subfamily. TBX19 is an orthologue of chick TbxT and maps at 1q23-q24. The genomic organization of TBX19 is highly similar to that of human T(Brachyury), another human member of the same subfamily.

Adult↗

A phylogenomic study of the OCTase genes in Pseudomonas syringae pathovars: the horizontal transfer of the argK-tox cluster and the evolutionary history of OCTase genes on their genomes.

Phytopathogenic Pseudomonas syringae is subdivided into about 50 pathovars due to their conspicuous differentiation with regard to pathogenicity. Based on the results of a phylogenetic analysis of four genes (gyrB, rpoD, hrpL, and hrpS), Sawada et al. (1999) showed that the ancestor of P. syringae had diverged into at least three monophyletic groups during its evolution. Physical maps of the genomes of representative strains of these three groups were constructed, which revealed that each strain had five rrn operons which existed on one circular genome. The fact that the structure and size of genomes vary greatly depending on the pathovar shows that P. syringae genomes are quite rich in plasticity and that they have undergone large-scale genomic rearrangements. Analyses of the codon usage and the GC content at the codon third position, in conjunction with phylogenomic analyses, showed that the gene cluster involved in phaseolotoxin synthesis (argK-tox cluster) expanded its distribution by conducting horizontal transfer onto the genomes of two P. syringae pathovars (pv. actinidiae and pv. phaseolicola) from bacterial species distantly related to P. syringae and that its acquisition was quite recent (i.e., after the ancestor of P. syringae diverged into the respective pathovars). Furthermore, the results of a detailed analysis of argK [an anabolic ornithine carbamoyltransferase (anabolic OCTase) gene], which is present within the argK-tox cluster, revealed the plausible process of generation of an unusual composition of the OCTase genes on the genomes of these two phaseolotoxin-producing pathovars: a catabolic OCTase gene (equivalent to the orthologue of arcB of P. aeruginosa) and an anabolic OCTase gene (argF), which must have been formed by gene duplication, have first been present on the genome of the ancestor of P. syringae; the catabolic OCTase gene has been deleted; the ancestor has diverged into the respective pathovars; the foreign-originated argK-tox cluster has horizontally transferred onto the genomes of pv. actinidiae and pv. phaseolicola; and hence two copies of only the anabolic OCTase genes (argK and argF) came to exist on the genomes of these two pathovars. Thus, the horizontal gene transfer and the genomic rearrangement were proven to have played an important role in the pathogenic differentiation and diversification of P. syringae.

Evolution, Molecular↗

Phylogenomic analysis of the PEBP gene family in cereals.

The TFL1 and FT genes, which are key genes in the control of flowering time in Arabidopsis thaliana, belong to a small multigene family characterized by a specific phosphatidylethanolamine-binding protein domain, termed the PEBP gene family. Several PEBP genes are found in dicots and monocots, and act on the control of flowering time. We investigated the evolution of the PEBP gene family in cereals. First, taking advantage of the complete rice genome sequence and EST databases, we found 19 PEBP genes in this species, 6 of which were not previously described. Ten genes correspond to five pairs of paralogs mapped on known duplicated regions of the rice genome. Phylogenetic analysis of Arabidopsis and rice genes indicates that the PEBP gene family consists of three main homology classes (the so-called TFL1-LIKE, MFT-LIKE, and FT-LIKE subfamilies), in which gene duplication and/or loss occurred independently in Arabidopsis and rice. Second, phylogenetic analyses of genomic and EST sequences from five cereal species indicate that the three subfamilies of PEBP genes have been conserved in cereals. The tree structure suggests that the ancestral grass genome had at least two MFT-like genes, two TFL1-like genes, and eight FT-like genes. A phylogenomic approach leads to some hypotheses about conservation of gene function within the subfamilies.

Base Sequence↗

Comparative studies of resistin expression and phylogenomics in human and mouse.

Resistin is a newly identified adipocytokine that has been proposed to be a link between obesity and type 2 diabetes based on animal studies. However, the role of resistin in the pathogenesis of insulin resistance associated with obesity in humans remains unclear. We comparatively and quantitatively studied the tissue distributions of resistin mRNA between human and mouse. The expression level of resistin mRNA in human adipose tissue is extremely low but detectable by real-time PCR and is about 1/250 of that in the mouse. Remarkably, resistin mRNA is abundant in human primary acute leukemia cells and myeloid cell lines U937 and HL60, but not in the Raw264 mouse myeloid cell line. Resistin expression in U937 cells was not affected by lipopolysaccharide (LPS) or by ciglitazone, a PPARgamma ligand. Phylogenomics revealed that the human resistin gene is the ortholog of its murine counterpart and is located in a region of chromosome 19p13.3, which is syntenic to mouse chromosome 8A1. In addition to the resistin-like molecule (RELM) sequences already reported, bioinformatics analysis disclosed another RELM sequence in the vicinity of RELMbeta on human chromosome 3q13.1, but this sequence is unlikely to encode an expressed gene. Therefore, only two RELMs, resistin and RELMbeta, exist in humans, instead of the three RELMs, resistin, RELMalpha, and RELMbeta, that exist in mice. This finding provides a possible answer to the question of why only two RELMs have been cloned in humans and suggests that the RELM family is not well conserved in evolution and may function differently between species. Therefore, caution should be exercised in interpreting resistin as a link between obesity and insulin resistance in humans. The high expression of resistin in human leukemia cells suggests a hitherto unidentified biological function of resistin in leukocytes.

Adipose Tissue↗

Phylogenomic and chemotaxonomic analysis of the endocannabinoid system.

The endocannabinoid system consists of two cannabinoid (CB) receptors, seven ligands, and ligand-catabolizing enzymes such as fatty acid amid hydrolase (FAAH) and monoglyceride lipase (MGL). The system's phylogenetic distribution is poorly known. The ligands cannot be molecularly investigated because they are not polypeptides and their specific synthetic enzymes have not been identified, so no sequences are available. Ligand phylogenetics can be inferred, nonetheless, by their presence in a range of extant organisms. Thus a meta-analysis of ligand extraction studies was performed (chemotaxonomy), and compared to a molecular search for homologs of CB receptors, vanilloid receptors (VR1), FAAH, and MGL in the genomes of sequenced organisms (phylogenomics). Putative homologs underwent functional mapping to ascertain the presence of critical amino acid motifs known to impart protein functionality. From an evolutionary perspective it appears that (1) endocannabinoid ligands evolved before CB receptors; (2) the ligands evolved independently multiple times; (3) CB receptors evolved prior to the metazoan-bilaterian divergence (ie, between extant Hydra and leech), but were secondarily lost in the Ecdysozoa; (4) VR1 may predate CB receptors but its affinity for endocannabinoids is a recent acquisition, appearing after the lower vertebrate-mammal divergence; (5) MGL may be as old as the ligands, whereas FAAH evolved recently, after the appearance of vertebrates. FAAH's emergence correlates with VR1's newly-found affinity for anandamide; this overlap in evolutionary time is recapitulated by complementary distribution patterns of FAAH, VR1, and anandamide in the brain. Linking FAAH, VR1, and anandamide implies a coupling among the remaining "older" parts of the endocannabinoid system, MGL, CB receptors, and 2-AG.

Amidohydrolases↗

Phylogenomics and museomics reveal five distinct species of tiger cats in South America.

The evolutionary history of elusive organisms can be characterized through genomic analyses, which have the power to reveal previously unknown taxa even in groups assumed to be well studied, such as cats. We have analyzed complete genomes of 38 individuals from the Neotropical cat genus Leopardus, including 26 individuals representing multiple evolutionary units of the contentious tiger cat (Leopardus tigrinus) species complex. Eight genomes were generated from museum specimens, which allowed the first genetic assessment of the type locality for L. tigrinus in the Guiana Shield. We found that this complex comprises five distinct species, including a novel cat species, discovered in the Bolivian Yungas and described in this study as L. tilcayo. The Peruvian Yungas unit of this complex also represents a distinct taxonomic entity, which we describe here as a novel subspecies, L. tigrinus antisuyo. Our phylogenomic analyses resolve the evolutionary relationships among the tiger cat geographic units, thus stabilizing their recalcitrant taxonomy and enabling adequate conservation assessment of these threatened felids. We also address other aspects of their evolution, including biogeography, past episodes of interspecies admixture, demographic history of each taxonomic unit, and temporal changes in genetic diversity. Altogether, our results clarify the evolutionary history of a complex radiation of wild cats, reveal novel taxa, and serve as a basis for conservation planning on behalf of these elusive wild cats.

Bolivian Yungas↗

A phylogenomic analysis of the Ascomycota.

An automated procedure was developed to extract orthologous sequences from fungal genomes and incorporate them into phylogenomic analyses in a timely and efficient manner. This approach involves parsing an all versus all BLASTP search of 17 proteomes and creating a similarity matrix from e-values, which is then used to cluster proteins into related groups by means of a Markov Clustering algorithm. After performing this analysis at different stringency levels, 854 single copy protein clusters, which were ubiquitously distributed in all 17 proteomes, were identified. These clusters were culled to include only those clusters where all proteins had best hits to and received hits from a protein within the same cluster. The final data set included gapless alignments for 781 clusters of orthologous sequences that were concatenated into one super alignment containing 195,664 amino acid characters. Neighbor-joining distance and maximum likelihood analyses resulted in identical topologies and all except one node received 100% bootstrap support. The node supporting Stagonospora nodorum's position received 83% support or higher; it was also the only taxon differentially resolved in the maximum parsimony analyses. All analyses resolved the two derived subphyla Pezizomycotina and Saccharomycotina, and Schizosaccharomyces pombe as an early diverging lineage of the Ascomycota. Importantly, these analyses resolved the Leotiomycetes as the sister group to the Sordariomycetes, a region of the Ascomycota phylogeny that has remained problematic in molecular phylogenetic studies of more limited character sampling. Additional phylogenetic analyses which included orthologous sequences from an unannotated ascomycotan genome (e.g., Coccidioides immitis) and subsets of orthologs with different characteristics supported this topology. Phylogenetic analyses of the 595 orthologs which included C. immitis resulted in an identical topology to the previous 781 ortholog analysis and correctly placed C. immitis in the Eurotiomycetes. This demonstrated the correct identification of orthologs and the ability to incorporate unannotated genomic data into a common phylogenetic analysis.

Ascomycota↗

A novel group of type I polyketide synthases (PKS) in animals and the complex phylogenomics of PKSs.

Type I polyketide synthases (PKSs), and related fatty acid synthases (FASs), represent a large group of proteins encoded by a diverse gene family that occurs in eubacteria and eukaryotes (mainly in fungi). Collectively, enzymes encoded by this gene family produce a wide array of polyketide compounds that encompass a broad spectrum of biological activity including antibiotic, antitumor, antifungal, immunosuppressive, and predator defense functional roles. We employed a phylogenomics approach to estimate relationships among members of this gene family from eubacterial and eukaryotic genomes. Our results suggest that some animal genomes (sea urchins, birds, and fish) possess a previously unidentified group of pks genes, in addition to possessing fas genes used in fatty acid metabolism. These pks genes in the chicken, fish, and sea urchin genomes do not appear to be closely related to any other animal or fungal genes, and instead are closely related to pks genes from the slime mold Dictyostelium and eubacteria. Continued accumulation of genome sequence data from diverse animal lineages is required to clarify whether the presence of these (non-fas) pks genes in animal genomes owes their origins to horizontal gene transfer (from eubacterial or Dictostelium genomes) or to more conventional patterns of vertical inheritance coupled with massive gene loss in several animal lineages. Additionally, results of our broad-scale phylogenetic analyses bolster the support for previous hypotheses of horizontal gene transfer of pks genes from bacterial to fungal and protozoan lineages.

Animals↗

Comparative phylogenomics of pathogenic bacteria by microarray analysis.

DNA microarrays represent a powerful technology that enables whole-scale comparison of bacterial genomes. This, coupled with new methods to model DNA microarray data, is facilitating the development of robust comparative phylogenomics analyses. Such studies have dramatically increased our ability to differentiate between bacteria, highlighting previously undetected genetic differences and population structures and providing new insight into virulence and evolution of bacterial pathogens. Recent results from such studies have generated insights into the evolution of bacterial pathogens, the levels of diversity and plasticity in the genome of a species, as well as the differences in virulence amongst pathogenic bacteria.

Bacteria↗

Mammalian phylogenomics comes of age.

The relatively new field of phylogenomics is beginning to reveal the potential of genomic data for evolutionary studies. As the cost of whole genome sequencing falls, anticipation of complete genome sequences from divergent species, reflecting the major lineages of modern mammals, is no longer a distant dream. In this article, we describe how comparative genomic data from mammals is progressing to resolve long-standing phylogenetic controversies, to refine dogma on how chromosomes evolve and to guide annotation of human and other vertebrate genomes.

Animals↗

Phylogenomics: the beginning of incongruence?

Until recently, molecular phylogenies based on a single or few orthologous genes often yielded contradictory results. Using multiple genes in a large concatenation was proposed to end these incongruences. Here we show that single-gene phylogenies often produce incongruences, albeit ones lacking statistically significant support. By contrast, the use of different tree reconstruction methods on different partitions of the concatenated supergene leads to well-resolved, but real (i.e. statistically significant) incongruences. Gathering a large amount of data is not sufficient to produce reliable trees, given the current limitation of tree reconstruction methods, especially when the quality of data is poor. We propose that selecting only data that contain minimal nonphylogenetic signals takes full advantage of phylogenomics and markedly reduces incongruence.

Genome, Fungal↗

Animal phylogenomics: multiple interspecific genome comparisons.

The utility of DNA sequence information for phylogenetics and phylogeography is now well known. Rather than attempt to summarize studies addressing this well-demonstrated utility, this chapter focuses on fundamental approaches and techniques that implement the collection of DNA sequence data for comparative phylogenetic purposes in a genomic context (phylogenomics). Whole genome sequencing approaches have changed the way we think about phylogenetics and have opened the way for new perspectives on "old" phylogenetics concerns. Some of these concerns are which gene regions to use and how much sequence information is needed for robust phylogenetic inference. Whole genome sequences of a few animal model organisms have gone a long way to implement approaches to better understand these important phylogenetic concerns. This chapter also addresses how genomics has made it more important for a clear understanding of orthology of gene regions in comparative biology. Finally, genome-enabled technologies that are affecting comparative biology are also discussed.

Animals↗

Phylogenomics and the reconstruction of the tree of life.

As more complete genomes are sequenced, phylogenetic analysis is entering a new era - that of phylogenomics. One branch of this expanding field aims to reconstruct the evolutionary history of organisms on the basis of the analysis of their genomes. Recent studies have demonstrated the power of this approach, which has the potential to provide answers to several fundamental evolutionary questions. However, challenges for the future have also been revealed. The very nature of the evolutionary history of organisms and the limitations of current phylogenetic reconstruction methods mean that part of the tree of life might prove difficult, if not impossible, to resolve with confidence.

Animals↗

Phylogenomics of hyperthermophilic Archaea and Bacteria.

The location of hyperthermophilic organisms in the tree of life has been the source of many exciting discussions during the last two decades. It inspired not only novel hypotheses for the early evolution of the organisms, but also the isolation of many new species of Archaea and Bacteria from hot environments, as well as microbial genome sequencing and phylogenomic analyses. In view of the new wealth of genetic information generated from several analysed genomes of the hyperthermophiles, we can only conclude that the question of their exact phylogenetic location and evolutionary origin is presently as open as ever before.

Escherichia coli↗

Comparison of EST libraries from seven beetle species: towards a framework for phylogenomics of the Coleoptera.

Relatively little is known about Coleoptera genes and genomes and how these compare in different taxa. We describe here the construction, DNA sequencing and sequence comparisons of cDNA libraries from seven beetle species. A total of 6717 bacterial colonies were screened for cDNA insert containing plasmids and 2784 size selected clones were 5'- and 3'-end sequenced to produce 1620 assembled sequences. Similarity comparisons with existing protein sequence databases revealed that 65.1% had matches (E < 10(-4)) in other organisms, with greater numbers of matches in Drosophila melanogaster than Caenorhabditis elegans and Saccharomyces cerevisiae databases. tBlastX comparisons also revealed numerous similarity hits (E < 10(-20)) in intra- and interlibrary comparisons. These results show the potential of small cDNA libraries for discovery and comparative analysis of genes useful for phylogenomic and functional studies.

Animals↗

Comparative phylogenomics of the food-borne pathogen Campylobacter jejuni reveals genetic markers predictive of infection source.

Campylobacter jejuni is the predominant cause of bacterial gastroenteritis worldwide, but traditional typing methods are unable to discriminate strains from different sources that cause disease in humans. We report the use of genomotyping (whole-genome comparisons of microbes using DNA microarrays) combined with Bayesian-based algorithms to model the phylogeny of this major food-borne pathogen. In this study 111 C. jejuni strains were examined by genomotyping isolates from humans with a spectrum of C. jejuni-associated disease (70 strains), chickens (17 strains), bovines (13 strains), ovines (5 strains), and the environment (6 strains). From these data, the Bayesian phylogeny of the isolates revealed two distinct clades unequivocally supported by Bayesian probabilities (P = 1); a livestock clade comprising 31/35 (88.6%) of the livestock isolates and a "nonlivestock" clade comprising further clades of environmental isolates. Several genes were identified as characteristic of strains in the livestock clade. The most prominent was a cluster of six genes (cj1321 to cj1326) within the flagellin glycosylation locus, which were confirmed by PCR analysis as genetic markers in six additional chicken-associated strains. Surprisingly these studies show that the majority (39/70, 55.7%) of C. jejuni human isolates were found in the nonlivestock clade, suggesting that most C. jejuni infections may be from nonlivestock (and possibly nonagricultural) sources. This study has provided insight into a previously unidentified reservoir of C. jejuni infection that may have implications in disease-control strategies. The comparative phylogenomics approach described provides a robust methodological prototype that should be applicable to other microbes.

Animals↗

Phylogenomic analysis of type I polyketide synthase genes in pathogenic and saprobic ascomycetes.

Fungal type I polyketides (PKs) are synthesized by PK synthases (PKSs) and include well known secondary metabolites such as the anticholesterol drug lovastatin and the potent natural carcinogen aflatoxin. Other type I PKs are known to be virulence factors for some plant pathogens and pigments such as melanin. In this study, a phylogenomic approach was used to investigate the origin and diversity of fungal genes encoding putative PKSs that are predicted to synthesize type I PKs. The resulting genealogy, constructed by using the highly conserved PKS ketosynthase (KS) domain, indicated that: (i). Species within subphylum Pezizomycotina (phylum Ascomycota) but not early diverging ascomycetes, like Saccharomyces cerevisiae (Saccharomycotina) or Schizosaccharomyces pombe (Taphrinomycotina), had large numbers (7-25) of PKS genes. (ii). Bacteria and fungi had separate groups of PKS genes; the few exceptions are the likely result of horizontal gene transfer from bacteria to various sublineages of fungi. (iii). The bulk of genes encoding fungal PKSs fell into eight groups. Four groups were predicted to synthesize variously reduced PKs, and four groups were predicted to make unreduced PKs. (iv). Species within different classes of Pezizomycotina shared the same groups of PKS genes. (v). Different fungal genomes shared few putative orthologous PKS genes, even between closely related genomes in the same class or genus. (vi) The discontinuous distributions of orthologous PKSs among fungal species can be explained by gene duplication, divergence, and gene loss; horizontal gene transfer among fungi does not need to be invoked.

Ascomycota↗

SDM: a fast distance-based approach for (super) tree building in phylogenomics.

Phylogenomic studies aim to build phylogenies from large sets of homologous genes. Such "genome-sized" data require fast methods, because of the typically large numbers of taxa examined. In this framework, distance-based methods are useful for exploratory studies and building a starting tree to be refined by a more powerful maximum likelihood (ML) approach. However, estimating evolutionary distances directly from concatenated genes gives poor topological signal as genes evolve at different rates. We propose a novel method, named super distance matrix (SDM), which follows the same line as average consensus supertree (ACS; Lapointe and Cucumel, 1997) and combines the evolutionary distances obtained from each gene into a single distance supermatrix to be analyzed using a standard distance-based algorithm. SDM deforms the source matrices, without modifying their topological message, to bring them as close as possible to each other; these deformed matrices are then averaged to obtain the distance supermatrix. We show that this problem is equivalent to the minimization of a least-squares criterion subject to linear constraints. This problem has a unique solution which is obtained by resolving a linear system. As this system is sparse, its practical resolution requires O(naka) time, where n is the number of taxa, k the number of matrices, and a < 2, which allows the distance supermatrix to be quickly obtained. Several uses of SDM are proposed, from fast exploratory studies to more accurate approaches requiring heavier computing time. Using simulations, we show that SDM is a relevant alternative to the standard matrix representation with parsimony (MRP) method, notably when the taxa sets of the different genes have low overlap. We also show that SDM can be used to build an excellent starting tree for an ML approach, which both reduces the computing time and increases the topogical accuracy. We use SDM to analyze the data set of Gatesy et al. (2002, Syst. Biol. 51: 652-664) that involves 48 genes of 75 placental mammals. The results indicate that these genes have strong rate heterogeneity and confirm the simulation conclusions.

Algorithms↗