Tetraodon nigroviridis is a freshwater puffer fish with the smallest known vertebrate genome. Here, we report a draft genome sequence with long-range linkage and substantial anchoring to the 21 Tetraodon chromosomes. Genome analysis provides a greatly improved fish gene catalogue, including identifying key genes previously thought to be absent in fish. Comparison with other vertebrates and a urochordate indicates that fish proteins have diverged markedly faster than their mammalian homologues. Comparison with the human genome suggests ,900 previously unannotated human genes. Analysis of the Tetraodon and human genomes shows that whole-genome duplication occurred in the teleost fish lineage, subsequent to its divergence from mammals. The analysis also makes it possible to infer the basic structure of the ancestral bony vertebrate genome, which was composed of 12 chromosomes, and to reconstruct much of the evolutionary history of ancient and recent chromosome rearrangements leading to the modern human karyotype.Access to entire genome sequences is revolutionizing our understanding of how genetic information is stored and organized in DNA, and how it has evolved over time. The sequence of a genome provides exquisite detail of the gene catalogue within a species, and the recent analysis of near-complete genome sequences of three mammals (human 1 , mouse 2 and rat 3 ) shows the acceleration in the search for causal links between genotype and phenotype, which can then be related to physiological, ecological and evolutionary observations. The partial sequence of the compact puffer fish Takifugu rubripes genome was obtained recently and this survey provided a preliminary catalogue of fish genes 4 . However, the Takifugu assembly is highly fragmented and as a result important questions could not be addressed.Here, we describe and analyse the genome sequence of the freshwater puffer fish Tetraodon nigroviridis with long-range linkage and extensive anchoring to chromosomes. Tetraodon resembles Takifugu in that it possesses one of the smallest known vertebrate genomes, but as a popular aquarium fish it is readily available and is easily maintained in tap water (see Supplementary Notes for naming conventions, natural habitat and phylogeny). The two puffer fish diverged from a common ancestor between 18-30 million years (Myr) ago and from the common ancestor with mammals about 450 Myr ago 5 . This long evolutionary distance provides a good contrast to distinguish conserved features from neutrally evolving DNA by sequence comparison. Tetraodon sequences in fact had an important role in providing a reliable estimate of the number of genes in the human genome 6 . There has been a vigorous and unresolved debate as to whether a whole-genome duplication (WGD) occurred in the ray-finned fish (actinopterygians) lineage after its separation from tetrapods [7][8][9] . By exploiting the extensive anchoring of the Tetraodon sequence to chromosomes, we provide a definitive answer to this question. The distribution of duplicated genes in t...

The duplication of entire genomes has long been recognized as having great potential for evolutionary novelties, but the mechanisms underlying their resolution through gene loss are poorly understood. Here we show that in the unicellular eukaryote Paramecium tetraurelia, a ciliate, most of the nearly 40,000 genes arose through at least three successive whole-genome duplications. Phylogenetic analysis indicates that the most recent duplication coincides with an explosion of speciation events that gave rise to the P. aurelia complex of 15 sibling species. We observed that gene loss occurs over a long timescale, not as an initial massive event. Genes from the same metabolic pathway or protein complex have common patterns of gene loss, and highly expressed genes are over-retained after all duplications. The conclusion of this analysis is that many genes are maintained after whole-genome duplication not because of functional innovation but because of gene dosage constraints.Ciliates are unique among unicellular organisms in that they separate germline and somatic functions 1 . Each cell harbours two kinds of nucleus, namely silent diploid micronuclei and highly polyploid macronuclei. The latter are unusual in that they contain an extensively rearranged genome streamlined for expression and divide by a non-mitotic process. Only micronuclei undergo meiosis to perpetuate genetic information; the macronuclei are lost at each sexual generation and develop anew from the micronuclear lineage.In Paramecium the exact number of micronuclear chromosomes (more than 50) and the structures of their centromeres and telomeres remain unknown. During macronuclear development, these chromosomes are amplified to about 800 copies and undergo two types of DNA elimination event. Tens of thousand of short, unique copy elements (internal eliminated sequences) are removed by a precise mechanism that leads to the reconstitution of functional genes 2 .Transposable elements and other repeated sequences are removed by an imprecise mechanism leading either to chromosome fragmentation and de novo telomere addition or to variable internal deletions 3 . These rearrangements occur after a few rounds of endoreplication, leading to some heterogeneity in the sequences abutting the imprecisely eliminated regions 3 . The sizes of the resulting, acentric macronuclear chromosomes range from 50-1,000 kilobases (kb) as measured by pulsed-field gel electrophoresis. Because the sexual process of autogamy results in an entirely homozygous genotype 4 , the macronuclear DNA that was sequenced was genetically homogeneous.The Paramecium genome sequence The Paramecium macronuclear genome sequence was established with the use of a whole-genome shotgun and assembly strategy. Paired-end sequencing of plasmid and bacterial artificial chromosome (BAC) clones provided a coverage of 13 genome equivalents (Supplementary Table S1). We assembled the sequence reads with Arachne 5 in 1,907 contigs connected in 697 scaffolds of size greater than 2 kb, giving a total coverage of 72...

With the availability of complete DNA sequences for many prokaryotic and eukaryotic genomes, and soon for the human genome itself, it is important to develop reliable proteome-wide approaches for a better understanding of protein function. As elementary constituents of cellular protein complexes and pathways, protein-protein interactions are key determinants of protein function. Here we have built a large-scale protein-protein interaction map of the human gastric pathogen Helicobacter pylori. We have used a high-throughput strategy of the yeast two-hybrid assay to screen 261 H. pylori proteins against a highly complex library of genome-encoded polypeptides. Over 1,200 interactions were identified between H. pylori proteins, connecting 46.6% of the proteome. The determination of a reliability score for every single protein-protein interaction and the identification of the actual interacting domains permitted the assignment of unannotated proteins to biological pathways.

BioPAX (Biological Pathway Exchange) is a standard language to represent biological pathways at the molecular and cellular level. Its major use is to facilitate the exchange of pathway data (http://www.biopax.org). Pathway data captures our understanding of biological processes, but its rapid growth necessitates development of databases and computational tools to aid interpretation. However, the current fragmentation of pathway information across many databases with incompatible formats presents barriers to its effective use. BioPAX solves this problem by making pathway data substantially easier to collect, index, interpret and share. BioPAX can represent metabolic and signaling pathways, molecular and genetic interactions and gene regulation networks. BioPAX was created through a community process. Through BioPAX, millions of interactions organized into thousands of pathways across many organisms, from a growing number of sources, are available. Thus, large amounts of pathway data are available in a computable form to support visualization, analysis and biological discovery.

We have constructed a collection of single-gene deletion mutants for all dispensable genes of the soil bacterium Acinetobacter baylyi ADP1. A total of 2594 deletion mutants were obtained, whereas 499 (16%) were not, and are therefore candidate essential genes for life on minimal medium. This essentiality data set is 88% consistent with the Escherichia coli data set inferred from the Keio mutant collection profiled for growth on minimal medium, while 80% of the orthologous genes described as essential in Pseudomonas aeruginosa are also essential in ADP1. Several strategies were undertaken to investigate ADP1 metabolism by (1) searching for discrepancies between our essentiality data and current metabolic knowledge, (2) comparing this essentiality data set to those from other organisms, (3) systematic phenotyping of the mutant collection on a variety of carbon sources (quinate, 2-3 butanediol, glucose, etc.). This collection provides a new resource for the study of gene function by forward and reverse genetic approaches and constitutes a robust experimental data source for systems biology approaches.

Genome-scale metabolic models bridge the gap between genome-derived biochemical information and metabolic phenotypes in a principled manner, providing a solid interpretative framework for experimental data related to metabolic states, and enabling simple in silico experiments with whole-cell metabolism. Models have been reconstructed for almost 20 bacterial species, so far mainly through expert curation efforts integrating information from the literature with genome annotation. A wide variety of computational methods exploiting metabolic models have been developed and applied to bacteria, yielding valuable insights into bacterial metabolism and evolution, and providing a sound basis for computer-assisted design in metabolic engineering. Recent advances in computational systems biology and high-throughput experimental technologies pave the way for the systematic reconstruction of metabolic models from genomes of new species, and a corresponding expansion of the scope of their applications. In this review, we provide an introduction to the key ideas of metabolic modeling, survey the methods, and resources that enable model reconstruction and refinement, and chart applications to the investigation of global properties of metabolic systems, the interpretation of experimental results, and the re-engineering of their biochemical capabilities.

Most eukaryotic genes are interrupted by non-coding introns that must be accurately removed from pre-messenger RNAs to produce translatable mRNAs. Splicing is guided locally by short conserved sequences, but genes typically contain many potential splice sites, and the mechanisms specifying the correct sites remain poorly understood. In most organisms, short introns recognized by the intron definition mechanism cannot be efficiently predicted solely on the basis of sequence motifs. In multicellular eukaryotes, long introns are recognized through exon definition and most genes produce multiple mRNA variants through alternative splicing. The nonsense-mediated mRNA decay (NMD) pathway may further shape the observed sets of variants by selectively degrading those containing premature termination codons, which are frequently produced in mammals. Here we show that the tiny introns of the ciliate Paramecium tetraurelia are under strong selective pressure to cause premature termination of mRNA translation in the event of intron retention, and that the same bias is observed among the short introns of plants, fungi and animals. By knocking down the two P. tetraurelia genes encoding UPF1, a protein that is crucial in NMD, we show that the intrinsic efficiency of splicing varies widely among introns and that NMD activity can significantly reduce the fraction of unspliced mRNAs. The results suggest that, independently of alternative splicing, species with large intron numbers universally rely on NMD to compensate for suboptimal splicing efficiency and accuracy.

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