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Genomics

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Comparative genomics approaches to study organism similarities and differences.

Comparative genomics is a large-scale, holistic approach that compares two or more genomes to discover the similarities and differences between the genomes and to study the biology of the individual genomes. Comparative studies can be performed at different levels of the genomes to obtain multiple perspectives about the organisms. We discuss in detail the type of analyses that offer significant biological insights in the comparisons of (1) genome structure including overall genome statistics, repeats, genome rearrangement at both DNA and gene level, synteny, and breakpoints; (2) coding regions including gene content, protein content, orthologs, and paralogs; and (3) noncoding regions including the prediction of regulatory elements. We also briefly review the currently available computational tools in comparative genomics such as algorithms for genome-scale sequence alignment, gene identification, and nonhomology-based function prediction.

Animals↗

Repetitive sequences: cause for variation in genome size and chromosome morphology in the genus Oryza.

Large variation in genome size as determined by the nuclear DNA content and the mitotic chromosome size among diploid rice species is revealed using flow cytometry and image analyses. Both the total chromosomal length (r = 0.939) and the total chromosomal area (r = 0.927) correlated well with the nuclear DNA content. Among all the species examined, Oryza australiensis (E genome) and O. brachyantha (F genome), respectively, were the largest and smallest in genome size. O. sativa (A genome) involving all the cultivated species showed the intermediate genome size between them. The distribution patterns of genome-specific repetitive DNA sequences were physically determined using fluorescence in situ hybridization (FISH). O. brachyantha had limited sites of the repetitive DNA sequences specific to the F genome. O. australiensis showed overall amplification of genome-specific DNA sequences throughout the chromosomes. The amplification of the repetitive DNA sequences causes the variation in the chromosome morphology and thus the genome size among diploid species in the genus Oryza.

Base Sequence↗

Structure-based functional inference in structural genomics.

The dramatically increasing number of new protein sequences arising from genomics and proteomics requires the need for methods to rapidly and reliably infer the molecular and cellular functions of these proteins. One such approach, structural genomics, aims to delineate the total repertoire of protein folds in nature, thereby providing three-dimensional folding patterns for all proteins and to infer molecular functions of the proteins based on the combined information of structures and sequences. The goal of obtaining protein structures on a genomic scale has motivated the development of high throughput technologies and protocols for macromolecular structure determination that have begun to produce structures at a greater rate than previously possible. These new structures have revealed many unexpected functional inferences and evolutionary relationships that were hidden at the sequence level. Here, we present samples of structures determined at Berkeley Structural Genomics Center and collaborators' laboratories to illustrate how structural information provides and complements sequence information to deduce the functional inferences of proteins with unknown molecular functions. Two of the major premises of structural genomics are to discover a complete repertoire of protein folds in nature and to find molecular functions of the proteins whose functions are not predicted from sequence comparison alone. To achieve these objectives on a genomic scale, new methods, protocols, and technologies need to be developed by multi-institutional collaborations worldwide. As part of this effort, the Protein Structure Initiative has been launched in the United States (PSI; www.nigms.nih.gov/funding/psi.html). Although infrastructure building and technology development are still the main focus of structural genomics programs, a considerable number of protein structures have already been produced, some of them coming directly out of semiautomated structure determination pipelines. The Berkeley Structural Genomics Center (BSGC) has focused on the proteins of Mycoplasma or their homologues from other organisms as its structural genomics targets because of the minimal genome size of the Mycoplasmas as well as their relevance to human and animal pathogenicity (http://www.strgen.org). Here we present several protein examples encompassing a spectrum of functional inferences obtainable from their three-dimensional structures in five situations, where the inferences are new and testable, and are not predictable from protein sequence information alone.

Adenosine Triphosphate↗

The chromosome-level genome assembly and annotation of the silver-lipped pearl oyster, Pinctada maxima.

The silver-lipped pearl oyster (Pinctada maxima) is a valuable tropical aquaculture species, playing a crucial economic role in the global pearl industry. However, the lack of genomic reference limits our in-depth understanding of this species in genome-based breeding, conservation, evolution and adaptation. Here, annotated chromosome-level reference genome for P. maxima was generated by integrating PacBio long-read sequencing, Illumina short-read sequencing, and Hi-C sequencing data. The total genome size is 1,264.93&#x2009;Mb, with contig N50 and scaffold N50 of 649&#x2009;kb and 89.19&#x2009;Mb, respectively. The majority (97.94%) of the assembled genome was anchored to the 14 chromosomes by Hi-C analysis. The relatively high genome completeness was observed, with 97.38% (metazoa_odb10 database) and 95.26% (mollusca_odb10 database) in BUSCO analysis. Genome annotation revealed approximately 65.46% of the repeat sequences and 26,315 protein-coding genes. Comparative genome analysis revealed 28 expanded and 48 contracted families (p&#x2009;<&#x2009;0.05) in P. maxima, with 3.2% of genes (894) being species-specific. This chromosome-level genome serves as an essential resource for research in evolutionary genomics, phylogenetics, and biomineralization.

Animals↗

Escherichia coli with a linear genome.

Chromosomes in eukaryotes are linear, whereas those of most, but not all, prokaryotes are circular. To explore the effects of possessing a linear genome on prokaryotic cells, we linearized the Escherichia coli genome using the lysogenic lambda-like phage N15. Linear genome E. coli were viable and their genome structure was stable. There were no appreciable differences between cells with linear or circular genomes in growth rates, cell and nucleoid morphologies, genome-wide gene expression (with a few exceptions), and DNA gyrase- and topoisomerase IV-dependent growth. However, under dif-defective conditions, only cells with a circular genome developed an abnormal phenotype. Microscopy indicated that the ends of the linear genome, but not the circular genome, were separated and located at each end of a new-born cell. When tos - the cis-element required for linearization - was inserted into different chromosomal sites, those strains with the genome termini that were more remote from dif showed greater growth deficiencies.

Cell Proliferation↗

The evolution of signaling complexity suggests a mechanism for reducing the genomic search space in human association studies.

The size complexity of the human genome has been traditionally viewed as an obstacle that frustrates efforts aimed at identifying the genetic correlates of complex human phenotypes. As such complex phenotypes are attributed to the combined action of numerous genomic loci, attempts to identify the underlying multi-locus interactions may produce a combinatorial sum of false positives that drown out the real signal. Faced with such grim prospects for successfully identifying the genetic basis of complex phenotypes, many geneticists simply disregard epistatic interactions altogether. However, the emerging picture from systems biology is that the cellular programs encoded by the genome utilize nested signaling hierarchies to integrate a number of loosely coupled, semiautonomous, and functionally distinct genetic networks. The current view of these modules is that connections encoding inter-module signaling are relatively sparse, while the gene-to-gene (protein-to-protein) interactions within a particular module are typically denser. We believe that each of these modules is encoded by a finite set of discontinuous, sequence-specific, genomic intervals that are functionally linked to association rules, which correlate directly to features in the environment. Furthermore, because these environmental association rules have evolved incrementally over time, we explore theoretical models of cellular evolution to better understand the role of evolution in genomic complexity. Specifically, we present a conceptual framework for (1) reducing genomic complexity by partitioning the genome into subsets composed of functionally distinct genetic modules and (2) improving the selection of coding region SNPs, which results in an increased probability of identifying functionally relevant SNPs. Additionally, we introduce the notion of 'genomic closure,' which provides a quantitative measure of how functionally insulated a specific genetic module might be from the influence of the rest of the genome. We suggest that the development and use of theoretical models can provide insight into the nature of biological systems and may lead to significant improvements in computational algorithms designed to reduce the complexity of the human genome.

Epistasis, Genetic↗

Major events in the genome evolution of vertebrates: paranome age and size differ considerably between ray-finned fishes and land vertebrates.

It has been suggested that fish have more genes than humans. Whether most of these additional genes originated through a complete (fish-specific) genome duplication or through many lineage-specific tandem gene or smaller block duplications and family expansions continues to be debated. We analyzed the complete genome of the pufferfish Takifugu rubripes (Fugu) and compared it with the paranome of humans. We show that most paralogous genes of Fugu are the result of three complete genome duplications. Both relative and absolute dating of the complete predicted set of protein-coding genes suggest that initial genome duplications, estimated to have occurred at least 600 million years ago, shaped the genome of all vertebrates. In addition, analysis of >150 block duplications in the Fugu genome clearly supports a fish-specific genome duplication (approximately equal to 320 million years ago) that coincided with the vast radiation of most modern ray-finned fishes. Unlike the human genome, Fugu contains very few recently duplicated genes; hence, many human genes are much younger than fish genes. This lack of recent gene duplication, or, alternatively, the accelerated rate of gene loss, is possibly one reason for the drastic reduction of the genome size of Fugu observed during the past 100 million years or so, subsequent to the additional genome duplication that ray-finned fishes but not land vertebrates experienced.

Amino Acid Sequence↗

How to become a uropathogen: comparative genomic analysis of extraintestinal pathogenic Escherichia coli strains.

Uropathogenic Escherichia coli (UPEC) strain 536 (O6:K15:H31) is one of the model organisms of extraintestinal pathogenic E. coli (ExPEC). To analyze this strain's genetic basis of urovirulence, we sequenced the entire genome and compared the data with the genome sequence of UPEC strain CFT073 (O6:K2:H1) and to the available genomes of nonpathogenic E. coli strain MG1655 (K-12) and enterohemorrhagic E. coli. The genome of strain 536 is approximately 292 kb smaller than that of strain CFT073. Genomic differences between both UPEC are mainly restricted to large pathogenicity islands, parts of which are unique to strain 536 or CFT073. Genome comparison underlines that repeated insertions and deletions in certain parts of the genome contribute to genome evolution. Furthermore, 427 and 432 genes are only present in strain 536 or in both UPEC, respectively. The majority of the latter genes is encoded within smaller horizontally acquired DNA regions scattered all over the genome. Several of these genes are involved in increasing the pathogens' fitness and adaptability. Analysis of virulence-associated traits expressed in the two UPEC O6 strains, together with genome comparison, demonstrate the marked genetic and phenotypic variability among UPEC. The ability to accumulate and express a variety of virulence-associated genes distinguishes ExPEC from many commensals and forms the basis for the individual virulence potential of ExPEC. Accordingly, instead of a common virulence mechanism, different ways exist among ExPEC to cause disease.

Biological Evolution↗

Genome signature comparisons among prokaryote, plasmid, and mitochondrial DNA.

Our basic observation is that each genome has a characteristic "signature" defined as the ratios between the observed dinucleotide frequencies and the frequencies expected if neighbors were chosen at random (dinucleotide relative abundances). The remarkable fact is that the signature is relatively constant throughout the genome; i.e. , the patterns and levels of dinucleotide relative abundances of every 50-kb segment of the genome are about the same. Comparison of the signatures of different genomes provides a measure of similarity which has the advantage that it looks at all the DNA of an organism and does not depend on the ability to align homologous sequences of specific genes. Genome signature comparisons show that plasmids, both specialized and broad-range, and their hosts have substantially compatible (similar) genome signatures. Mammalian mitochondrial (Mt) genomes are very similar, and animal and fungal Mt are generally moderately similar, but they diverge significantly from plant and protist Mt sets. Moreover, Mt genome signature differences between species parallel the corresponding nuclear genome signature differences, despite large differences between Mt and host nuclear signatures. In signature terms, we find that the archaea are not a coherent clade. For example, Sulfolobus and Halobacterium are extremely divergent. There is no consistent pattern of signature differences among thermophiles. More generally, grouping prokaryotes by environmental criteria (e.g., habitat propensities, osmolarity tolerance, chemical conditions) reveals no correlations in genome signature.

Animals↗

Complete nucleotide sequences of the genomes of two Brazilian specimens of human T lymphotropic virus type 2 (HTLV-2).

We report the complete nucleotide sequences of the genomes of two human T cell lymphotropic viruses type 2 (HTLV-2) isolated from a Kayapó Indian (K96 isolate) and from an inhabitant of an urban region in the south of Brazil (RP329 isolate). The general structure of the K96 and RP329 genomes did not differ from that of other HTLV-2 genomes described in the literature. The K96 genome consisted of 8955 bp and the RP329 genome consisted of 8964 bp. The general similarity between the nucleotide sequences of the K96 and RP329 genomes was 99.4%. Comparison between the nucleotide sequences of the K96 and RP329 genomes and the nucleotide sequences of isolates considered to be HTLV-2 prototypes of subtype 2a (Mo isolate), 2b (NRA isolate), and 2d (Efe2 isolate) showed a global similarity of 98.8, 95.6, and 93.3%, respectively, for the RP329 isolate, and of 99.1, 95.6, and 93.3%, respectively, for the K96 isolate. Phylogenetic analysis permitted the classification of the K96 and RP329 isolates as HTLV-2 subtype 2a. Detailed phylogenetic analyses of the LTR, env, and Tax regions showed that the Brazilian isolates tend to form a distinct phylogenetic subgroup within subtype 2a, previously called HTLV-2c, which differs from the subtype 2a isolates found in North America, Europe, and Africa. The K96 genome is the first HTLV-2 genome obtained from a Brazilian Indian that was completely sequenced, whereas the RP329 genome represents the first specimen derived from an inhabitant of a Brazilian urban region who was not coinfected with HIV-1.

Amino Acid Sequence↗

Comparative genome assembly.

One of the most complex and computationally intensive tasks of genome sequence analysis is genome assembly. Even today, few centres have the resources, in both software and hardware, to assemble a genome from the thousands or millions of individual sequences generated in a whole-genome shotgun sequencing project. With the rapid growth in the number of sequenced genomes has come an increase in the number of organisms for which two or more closely related species have been sequenced. This has created the possibility of building a comparative genome assembly algorithm, which can assemble a newly sequenced genome by mapping it onto a reference genome. We describe here a novel algorithm for comparative genome assembly that can accurately assemble a typical bacterial genome in less than four minutes on a standard desktop computer. The software is available as part of the open-source AMOS project.

Algorithms↗

Large-scale prokaryotic gene prediction and comparison to genome annotation.

MOTIVATION: Prokaryotic genomes are sequenced and annotated at an increasing rate. The methods of annotation vary between sequencing groups. It makes genome comparison difficult and may lead to propagation of errors when questionable assignments are adapted from one genome to another. Genome comparison either on a large or small scale would be facilitated by using a single standard for annotation, which incorporates a transparency of why an open reading frame (ORF) is considered to be a gene. RESULTS: A total of 143 prokaryotic genomes were scored with an updated version of the prokaryotic genefinder EasyGene. Comparison of the GenBank and RefSeq annotations with the EasyGene predictions reveals that in some genomes up to approximately 60% of the genes may have been annotated with a wrong start codon, especially in the GC-rich genomes. The fractional difference between annotated and predicted confirms that too many short genes are annotated in numerous organisms. Furthermore, genes might be missing in the annotation of some of the genomes. We predict 41 of 143 genomes to be over-annotated by >5%, meaning that too many ORFs are annotated as genes. We also predict that 12 of 143 genomes are under-annotated. These results are based on the difference between the number of annotated genes not found by EasyGene and the number of predicted genes that are not annotated in GenBank. We argue that the average performance of our standardized and fully automated method is slightly better than the annotation.

Base Composition↗

Recently integrated Alu elements and human genomic diversity.

A comprehensive analysis of two Alu Y lineage subfamilies was undertaken to assess Alu-associated genomic diversity and identify new Alu insertion polymorphisms for the study of human population genetics. Recently integrated Alu elements (283) from the Yg6 and Yi6 subfamilies were analyzed by polymerase chain reaction (PCR), and 25 of the loci analyzed were polymorphic for insertion presence/absence within the genomes of a diverse array of human populations. These newly identified Alu insertion polymorphisms will be useful tools for the study of human genomic diversity. Our screening of the Alu insertion loci also resulted in the recovery of several "young" Alu elements that resided at orthologous positions in nonhuman primate genomes. Sequence analysis demonstrated these "young" Alu insertions were the products of gene conversion events of older, preexisting Alu elements or independent parallel forward insertions of older Alu elements in the same short genomic region. The level of gene conversion between Alu elements suggests that it may have an influence on the single nucleotide polymorphism within Alu elements in the genome. We have also identified two genomic deletions associated with the retroposition and insertion of Alu Y lineage elements into the human genome. This type of Alu retroposition-mediated genomic deletion is a novel source of lineage-specific evolution within primate genomes.

Alu Elements↗

GC composition of the human genome: in search of isochores.

The isochore theory, proposed nearly three decades ago, depicts the mammalian genome as a mosaic of long, fairly homogeneous genomic regions that are characterized by their guanine and cytosine (GC) content. The human genome, for instance, was claimed to consist of five distinct isochore families: L1, L2, H1, H2, and H3, with GC contents of <37%, 37%-42%, 42%-47%, 47%-52%, and >52%, respectively. In this paper, we address the question of the validity of the isochore theory through a rigorous sequence-based analysis of the human genome. Toward this end, we adopt a set of six attributes that are generally claimed to characterize isochores and statistically test their veracity against the available draft sequence of the complete human genome. By the selection criteria used in this study: distinctiveness, homogeneity, and minimal length of 300 kb, we identify 1,857 genomic segments that warrant the label "isochore." These putative isochores are nonuniformly scattered throughout the genome and cover about 41% of the human genome. We found that a four-family model of putative isochores is the most parsimonious multi-Gaussian model that can be fitted to the empirical data. These families, however, are GC poor, with mean GC contents of 35%, 38%, 41%, and 48% and do not resemble the five isochore families in the literature. Moreover, due to large overlaps among the families, it is impossible to classify genomic segments into isochore families reliably, according to compositional properties alone. These findings undermine the utility of the isochore theory and seem to indicate that the theory may have reached the limits of its usefulness as a description of genomic compositional structures.

Base Composition↗

A selective barrier to horizontal gene transfer in the T4-type bacteriophages that has preserved a core genome with the viral replication and structural genes.

Genomic analysis of bacteriophages frequently reveals a mosaic structure made up from modules that come from disparate sources. This fact has led to the general acceptance of the notion that rampant and promiscuous lateral gene transfer (LGT) plays a critical role in phage evolution. However, recent sequencing of a series of the T4-type phages has revealed that these large and complex genomes all share 2 substantial syntenous blocks of genes encoding the replication and virion structural genes. To analyze the pattern of inheritance of this core T4 genome, we compared the complete genome sequences of 16 T4-type phages. We identified a set of 24 genes present in all these T4-type genomes. Somewhat surprisingly, only one of these genes, that encodes for ribonucleotide reductase (NrdA), displayed evidence of LGT with the bacterial host. We test the congruence of the inheritance of the other 23 markers using heat map analyses and comparison of a reference topology with the 23 individual gene phylogenies. The vast majority of these core genes share a common evolutionary history. In contrast, analyses of all the noncore genes present in the same 16 genomes, located in the hyperplastic regions of the genome, show considerable evidence of frequent LGT. The similar evolution of the core replication and virion structural genes in the T4-type phage genomes suggests that, unlike the situation in many other phage groups, such portions of T4-type genome have been inherited as a block, without significant LGT, from a distant common ancestor. The preservation of the synteny of the core T4 genome could result from several factors acting in synergy, such as the constraints imposed by the sophisticated regulation of the transcription. Moreover, numerous and complex protein-protein interactions during virion morphogenesis could also impose a supplementary barrier against LGT. Finally, there may be some real evolutionary advantage to maintaining large regions of conserved sequence. Such segments could be a sort of genetic glue that maintains the genetic cohesion of the T4-type phages via recombination within the most conserved sequences. This could mediate the swapping of nonconserved sequences that they flank.

Bacteriophage T4↗

Structure and organization of the mitochondrial genome of the unicellular red alga Cyanidioschyzon merolae deduced from the complete nucleotide sequence.

The complete nucleotide sequence of the mitochondrial genome of a very primitive unicellular red alga, Cyanidioschyzon merolae , has been determined. The mitochondrial genome of C.merolae contains 34 genes for proteins including unidentified open reading frames (ORFs) (three subunits of cytochrome c oxidase, apocytochrome b protein, three subunits of F1F0-ATPase, seven subunits of NADH ubiquinone oxidoreductase, three subunits of succinate dehydrogenase, four proteins implicated in c-type cytochrome biogenesis, 11 ribosomal subunits and two unidentified open reading frames), three genes for rRNAs and 25 genes for tRNAs. The G+C content of this mitochondrial genome is 27.2%. The genes are encoded on both strands. The genome size is comparatively small for a plant mitochondrial genome (32 211 bp). The mitochondrial genome resembles those of plants in its gene content because it contains several ribosomal protein genes and ORFs shared by other plant mitochondrial genomes. In contrast, it resembles those of animals in the genome organization, because it has very short intergenic regions and no introns. The gene set in this mitochondrial genome is a subset of that of Reclinomonas americana , an amoeboid protozoan. The results suggest that plant mitochondria originate from the same ancestor as other mitochondria and that most genes were lost from the mitochondrial genome at a fairly early stage of the evolution of the plants.

Base Sequence↗

ASAP, a systematic annotation package for community analysis of genomes.

ASAP (a systematic annotation package for community analysis of genomes) is a relational database and web interface developed to store, update and distribute genome sequence data and functional characterization (https://asap.ahabs.wisc.edu/annotation/php/ASAP1.htm). ASAP facilitates ongoing community annotation of genomes and tracking of information as genome projects move from preliminary data collection through post-sequencing functional analysis. The ASAP database includes multiple genome sequences at various stages of analysis, corresponding experimental data and access to collections of related genome resources. ASAP supports three levels of users: public viewers, annotators and curators. Public viewers can currently browse updated annotation information for Escherichia coli K-12 strain MG1655, genome-wide transcript profiles from more than 50 microarray experiments and an extensive collection of mutant strains and associated phenotypic data. Annotators worldwide are currently using ASAP to participate in a community annotation project for the Erwinia chrysanthemi strain 3937 genome. Curation of the E. chrysanthemi genome annotation as well as those of additional published enterobacterial genomes is underway and will be publicly accessible in the near future.

Databases, Genetic↗

A case for evolutionary genomics and the comprehensive examination of sequence biodiversity.

Comparative analysis is one of the most powerful methods available for understanding the diverse and complex systems found in biology, but it is often limited by a lack of comprehensive taxonomic sampling. Despite the recent development of powerful genome technologies capable of producing sequence data in large quantities (witness the recently completed first draft of the human genome), there has been relatively little change in how evolutionary studies are conducted. The application of genomic methods to evolutionary biology is a challenge, in part because gene segments from different organisms are manipulated separately, requiring individual purification, cloning, and sequencing. We suggest that a feasible approach to collecting genome-scale data sets for evolutionary biology (i.e., evolutionary genomics) may consist of combination of DNA samples prior to cloning and sequencing, followed by computational reconstruction of the original sequences. This approach will allow the full benefit of automated protocols developed by genome projects to be realized; taxon sampling levels can easily increase to thousands for targeted genomes and genomic regions. Sequence diversity at this level will dramatically improve the quality and accuracy of phylogenetic inference, as well as the accuracy and resolution of comparative evolutionary studies. In particular, it will be possible to make accurate estimates of normal evolution in the context of constant structural and functional constraints (i.e., site-specific substitution probabilities), along with accurate estimates of changes in evolutionary patterns, including pairwise coevolution between sites, adaptive bursts, and changes in selective constraints. These estimates can then be used to understand and predict the effects of protein structure and function on sequence evolution and to predict unknown details of protein structure, function, and functional divergence. In order to demonstrate the practicality of these ideas and the potential benefit for functional genomic analysis, we describe a pilot project we are conducting to simultaneously sequence large numbers of vertebrate mitochondrial genomes.

Animals↗