Linking the Genomes of Nonmodel Teleosts Through Comparative Genomics

Recently the genomes of two more teleost species have been released: the medaka (Oryzias latipes), and the three-spined stickleback (Gasterosteus aculateus). The rapid developments in genomics of fish species paved the way to new and valuable research in comparative genetics and genomics. With the accumulation of information in model species, the genetic and genomic characterization of nonmodel, but economically important species, is now feasible. Furthermore, comparison of low coverage gene maps of aquacultured fish species against fully sequenced fish species will enhance the efficiency of candidate genes identification projected for quantitative trait loci (QTL) scans for traits of commercial interest. This study shows the syntenic relationship between the genomes of six different teleost species, including three fully sequenced model species: Tetraodon nigroviridis, Oryzias latipes, Gasterosteus aculateus, and three marine species of commercial and evolutionary interest: Sparus aurata, Dicentrarchus labrax, Oreochromis spp. All three commercial fish species belong to the order Perciformes, which is the richest in number of species (approximately 10,000) but poor in terms of available genomic information and tools. Syntenic relationships were established by using 800 EST and microsatellites sequences successfully mapped on the RH map of seabream. Comparison to the stickleback genome produced most positive BLAT hits (58%) followed by medaka (32%) and Tetraodon (30%). Thus, stickleback was used as the major stepping stone to compare seabass and tilapia to seabream. In addition to the significance for the aquaculture industry, this approach can encompass important ecological and evolutionary implications. Electronic supplementary material The online version of this article (doi:) contains supplementary material, which is available to authorized users.     

Partial shotgun sequencing of the Boechera stricta genome reveals extensive microsynteny and promoter conservation with Arabidopsis

Comparative genomics provides insight into the evolutionary dynamics that shape discrete sequences as well as whole genomes. To advance comparative genomics within the Brassicaceae, we have end sequenced 23,136 medium-sized insert clones from Boechera stricta, a wild relative of Arabidopsis (Arabidopsis thaliana). A significant proportion of these sequences, 18,797, are nonredundant and display highly significant similarity (BLASTn e-value < or = 10(-30)) to low copy number Arabidopsis genomic regions, including more than 9,000 annotated coding sequences. We have used this dataset to identify orthologous gene pairs in the two species and to perform a global comparison of DNA regions 5' to annotated coding regions. On average, the 500 nucleotides upstream to coding sequences display 71.4% identity between the two species. In a similar analysis, 61.4% identity was observed between 5' noncoding sequences of Brassica oleracea and Arabidopsis, indicating that regulatory regions are not as diverged among these lineages as previously anticipated. By mapping the B. stricta end sequences onto the Arabidopsis genome, we have identified nearly 2,000 conserved blocks of microsynteny (bracketing 26% of the Arabidopsis genome). A comparison of fully sequenced B. stricta inserts to their homologous Arabidopsis genomic regions indicates that indel polymorphisms >5 kb contribute substantially to the genome size difference observed between the two species. Further, we demonstrate that microsynteny inferred from end-sequence data can be applied to the rapid identification and cloning of genomic regions of interest from nonmodel species. These results suggest that among diploid relatives of Arabidopsis, small- to medium-scale shotgun sequencing approaches can provide rapid and cost-effective benefits to evolutionary and/or functional comparative genomic frameworks.     

Genomic exploration of the hemiascomycetous yeasts: 1. A set of yeast species for molecular evolution studies

The identification of molecular evolutionary mechanisms in eukaryotes is approached by a comparative genomics study of a homogeneous group of species classified as Hemiascomycetes. This group includes Saccharomyces cerevisiae, the first eukaryotic genome entirely sequenced, back in 1996. A random sequencing analysis has been performed on 13 different species sharing a small genome size and a low frequency of introns. Detailed information is provided in the 20 following papers. Additional tables available on websites describe the ca. 20000 newly identified genes. This wealth of data, so far unique among eukaryotes, allowed us to examine the conservation of chromosome maps, to identify the 'yeast-specific' genes, and to review the distribution of gene families into functional classes. This project conducted by a network of seven French laboratories has been designated 'Génolevures'.     

Genome SEGE: A database for 'intronless' genes in eukaryotic genomes

Background  

A number of completely sequenced eukaryotic genome data are available in the public domain. Eukaryotic genes are either 'intron containing' or 'intronless'. Eukaryotic 'intronless' genes are interesting datasets for comparative genomics and evolutionary studies. The SEGE database containing a collection of eukaryotic single exon genes is available. However, SEGE is derived using GenBank. The redundant, incomplete and heterogeneous qualities of GenBank data are a bottleneck for biological investigation in comparative genomics and evolutionary studies. Such studies often require representative gene sets from each genome and this is possible only by deriving specific datasets from completely sequenced genome data. Thus Genome SEGE, a database for 'intronless' genes in completely sequenced eukaryotic genomes, has been constructed.     

Large-scale comparative phenotypic and genomic analyses reveal ecological preferences of shewanella species and identify metabolic pathways conserved at the genus level

The use of comparative genomics for the study of different microbiological species has increased substantially as sequence technologies become more affordable. However, efforts to fully link a genotype to its phenotype remain limited to the development of one mutant at a time. In this study, we provided a high-throughput alternative to this limiting step by coupling comparative genomics to the use of phenotype arrays for five sequenced Shewanella strains. Positive phenotypes were obtained for 441 nutrients (C, N, P, and S sources), with N-based compounds being the most utilized for all strains. Many genes and pathways predicted by genome analyses were confirmed with the comparative phenotype assay, and three degradation pathways believed to be missing in Shewanella were confirmed as missing. A number of previously unknown gene products were predicted to be parts of pathways or to have a function, expanding the number of gene targets for future genetic analyses. Ecologically, the comparative high-throughput phenotype analysis provided insights into niche specialization among the five different strains. For example, Shewanella amazonensis strain SB2B, isolated from the Amazon River delta, was capable of utilizing 60 C compounds, whereas Shewanella sp. strain W3-18-1, isolated from deep marine sediment, utilized only 25 of them. In spite of the large number of nutrient sources yielding positive results, our study indicated that except for the N sources, they were not sufficiently informative to predict growth phenotypes from increasing evolutionary distances. Our results indicate the importance of phenotypic evaluation for confirming genome predictions. This strategy will accelerate the functional discovery of genes and provide an ecological framework for microbial genome sequencing projects.     

稻属植物的基因组进化

水稻所在的稻属(Oryza)共有24个左右的物种。由于野生稻含有大量的优良农艺性状基因, 在水稻遗传学研究中日益受到重视。随着国际稻属基因组计划的开展, 越来越多的稻属基因组序列被测定, 稻属成为进行比较、功能和进化基因组学研究的模式系统。近期开展的一系列研究对稻属不同基因组区段以及全基因组序列的比较分析, 揭示了稻属在基因组大小、基因移动、多倍体进化、常染色质到异染色质的转化以及着丝粒区域的进化等方面的分子机制。转座子的活性以及转座子因非均等重组或非法重组而造成的删除, 对稻属基因组的扩增和收缩具有重要作用。DNA双链断裂修复介导的基因移动, 特别是非同源末端连接, 是稻属基因组非共线性基因形成的主要来源。稻属基因组从常染色质到异染色质的转换过程, 伴随着转座子的大量扩增、基因片段的区段性和串联重复以及从基因组其他位置不断捕获异染色质基因。对稻属不同物种间基因拷贝数、特异基因和重要农艺性状基因的进化等研究, 可揭示稻属不同物种间表型和适应性差异的分子基础, 将加速水稻的育种和改良。     

生态基因组学研究进展

生态基因组学是一个整合生态学、分子遗传学和进化基因组学的新兴交叉学科。生态基因组学将基因组学的研究手段和方法引入生态学领域,通过将群体基因组学、转录组学、蛋白质组学等手段与方法将个体、种群及群落、生态系统不同层次的生态学相互作用整合起来,确定在生态学响应及相互作用中具有重要意义的关键的基因和遗传途径,阐明这些基因及遗传途径变异的程度及其生态和进化后果的特征,从基因水平探索有机体响应天然环境(包括生物与非生物的环境因子)的遗传学机制。生态基因组学的研究对象可以分为模式生物与非模式生物两大类。拟南芥、酿酒酵母等模式生物在生态基因组学领域发挥了重要作用。随着越来越多基因组学技术的开发与完善,越来越多的非模式生物生态基因组学的研究将为生态学的发展提供重要的理论与实践依据。生态基因组学最核心的方法包括寻找序列变异、研究基因差异表达和分析基因功能等方法。生态基因组学已广泛渗透到生态学的相关领域中,将会在生物对环境的响应、物种间的相互作用、进化生态学、全球变化生态学、入侵生态学、群落生态学等研究领域发挥更大的作用。     

More genes in fish?

Certain species of fish have recently become important model systems in comparative genomics and in developmental biology, in certain instances because of their small genome sizes (e.g., in the pufferfish) and, in other cases, because of the opportunity they provide to combine an easily accessible and experimentally manipulable embryology with the power of genetic approaches (e.g., in the zebrafish). The resulting accumulation of genomic information indicates that, surprisingly, many gene families of fish consist of more members than in mammals. Most modern fish, including the zebrafish and medakka, are diploid organisms; however, the greater number of genes in fish was possibly caused by additional ancient genome duplications which happened in the lineage leading to modern ray-finned fishes but not along the lineage leading to tetrapods. Since these two lineages shared their last common ancestor (in the Devonian about 360 million years ago) individual duplicated members of gene families were later lost in fish. Interestingly, comparative data indicate that, in some cases, genes in mammals even serve somewhat different functions than their homologues in fish, highlighting that the degree of evolutionary relatedness of genes is not always a reliable predictor of their evolutionary conservation and their similarity of function. Since fish are phenotypically probably not more complex than mammals, it is possible that evolution took alternative paths to the “economics of genomics” through alternative solutions to gene regulation. It is suggested that the more complex genomic architecture of fish permitted them to adapt and speciate quickly in response to changing selective regimes. BioEssays 20 :511–515, 1998. © 1998 John Wiley & Sons, Inc.     

Mapping genes on an integrated sorghum genetic and physical map using cDNA selection technology

Sorghum is an important target of plant genomics. This cereal has unusual tolerance to adverse environments, a small genome (750 Mbp) relative to most other grasses, a diverse germplasm, and utility for comparative genomics with rice, maize and other grasses. In this study, a modified cDNA selection protocol was developed to aid the discovery and mapping of genes across an integrated genetic and physical map of the sorghum genome. BAC DNA from the sorghum genome map was isolated and covalently bound in arrayed tubes for efficient liquid handling. Amplifiable cDNA sequence tags were isolated by hybridization to individual sorghum BACs, cloned and sequenced. Analysis of a fully sequenced sorghum BAC indicated that about 80% of known or predicted genes were detected in the sequence tags, including multiple tags from different regions of individual genes. Data from cDNA selection using the fully sequenced BAC indicate that the occurrence of mislocated cDNA tags is very low. Analysis of 35 BACs (5.25 Mb) from sorghum linkage group B revealed (and therefore mapped) two sorghum genes and 58 sorghum ESTs. Additionally, 31 cDNA tags that had significant homologies to genes from other species were also isolated. The modified cDNA selection procedure described here will be useful for genome-wide gene discovery and EST mapping in sorghum, and for comparative genomics of sorghum, rice, maize and other grasses.     

Munich information center for protein sequences plant genome resources: a framework for integrative and comparative analyses 1(W)

With several plant genomes sequenced, the power of comparative genome analysis can now be applied. However, genome-scale cross-species analyses are limited by the effort for data integration. To develop an integrated cross-species plant genome resource, we maintain comprehensive databases for model plant genomes, including Arabidopsis (Arabidopsis thaliana), maize (Zea mays), Medicago truncatula, and rice (Oryza sativa). Integration of data and resources is emphasized, both in house as well as with external partners and databases. Manual curation and state-of-the-art bioinformatic analysis are combined to achieve quality data. Easy access to the data is provided through Web interfaces and visualization tools, bulk downloads, and Web services for application-level access. This allows a consistent view of the model plant genomes for comparative and evolutionary studies, the transfer of knowledge between species, and the integration with functional genomics data.     

Avian genomics in the 21st century

The chicken has long been an important model organism for developmental biology, as well as a major source of protein with billions of birds used in meat and egg production each year. Chicken genomics has been transformed in recent years, with the characterisation of large EST collections and most recently with the assembly of the chicken genome sequence. As the first livestock genome to be fully sequenced it leads the way for others to follow--with zebra finch later this year. The genome sequence and the availability of three million genetic polymorphisms are expected to aid the identification of genes that control traits of importance in poultry. As the first bird genome to be sequenced it is a model for the remaining 9,600 species thought to exist today. Many of the features of avian biology and organisation of the chicken genome make it an ideal model organism for phylogenetics and embryology, along with applications in agriculture and medicine. The availability of new tools such as whole-genome gene expression arrays and SNP panels, coupled with information resources on the genes and proteins are likely to enhance this position.     

MSOAR 2.0: Incorporating tandem duplications into ortholog assignment based on genome rearrangement

Background  

Ortholog assignment is a critical and fundamental problem in comparative genomics, since orthologs are considered to be functional counterparts in different species and can be used to infer molecular functions of one species from those of other species. MSOAR is a recently developed high-throughput system for assigning one-to-one orthologs between closely related species on a genome scale. It attempts to reconstruct the evolutionary history of input genomes in terms of genome rearrangement and gene duplication events. It assumes that a gene duplication event inserts a duplicated gene into the genome of interest at a random location (i.e., the random duplication model). However, in practice, biologists believe that genes are often duplicated by tandem duplications, where a duplicated gene is located next to the original copy (i.e., the tandem duplication model).     

Hemiascomycetous yeasts at the forefront of comparative genomics

With more than a dozen species fully sequenced, as many as this partially sequenced, and more in development, yeasts are now used to explore the frontlines of comparative genomics of eukaryotes. Innovative procedures have been developed to compare and annotate genomes at various evolutionary distances, to identify short cis-acting regulatory elements, to map duplications, or to align syntenic blocks. Human and plant pathogens, in addition to yeasts that show a variety of interesting physiological properties, are included in this multidimensional comparative survey, which encompasses a very broad evolutionary range. As major steps of the evolutionary history of hemiascomycetous genomes emerge, precise questions on the general mechanisms of their evolution can be addressed, using both experimental and in silico methods.     

A Gene-Based Linkage Map for Bicyclus anynana Butterflies Allows for a Comprehensive Analysis of Synteny with the Lepidopteran Reference Genome

Lepidopterans (butterflies and moths) are a rich and diverse order of insects, which, despite their economic impact and unusual biological properties, are relatively underrepresented in terms of genomic resources. The genome of the silkworm Bombyx mori has been fully sequenced, but comparative lepidopteran genomics has been hampered by the scarcity of information for other species. This is especially striking for butterflies, even though they have diverse and derived phenotypes (such as color vision and wing color patterns) and are considered prime models for the evolutionary and developmental analysis of ecologically relevant, complex traits. We focus on Bicyclus anynana butterflies, a laboratory system for studying the diversification of novelties and serially repeated traits. With a panel of 12 small families and a biphasic mapping approach, we first assigned 508 expressed genes to segregation groups and then ordered 297 of them within individual linkage groups. We also coarsely mapped seven color pattern loci. This is the richest gene-based map available for any butterfly species and allowed for a broad-coverage analysis of synteny with the lepidopteran reference genome. Based on 462 pairs of mapped orthologous markers in Bi. anynana and Bo. mori, we observed strong conservation of gene assignment to chromosomes, but also evidence for numerous large- and small-scale chromosomal rearrangements. With gene collections growing for a variety of target organisms, the ability to place those genes in their proper genomic context is paramount. Methods to map expressed genes and to compare maps with relevant model systems are crucial to extend genomic-level analysis outside classical model species. Maps with gene-based markers are useful for comparative genomics and to resolve mapped genomic regions to a tractable number of candidate genes, especially if there is synteny with related model species. This is discussed in relation to the identification of the loci contributing to color pattern evolution in butterflies.     

Population genomics and speciation

The process of speciation begins with genomically-localised barriers to gene exchange associated with loci for local adaptation, intrinsic incompatibility or assortative mating. The barrier then spreads until reproductive isolation influences the whole genome. The population genomics approach can be used to identify regions of reduced gene flow by detecting loci with greater differentiation than expected from the average across many loci. Recently, this approach has been used in several systems. I review these studies, concentrating on the robustness of the approach and the methods available to go beyond the simple identification of differentiated markers. Population genomics has already contributed significantly to understanding the balance between gene flow and selection during the evolution of reproductive isolation and has great future potential both in genome species and in non-model organisms.     

Characterising functionally important and ecologically meaningful genetic diversity using a candidate gene approach

Over the past two decades the fields of molecular ecology and population genetics have been dominated by the use of putatively neutral DNA markers, primarily to resolve spatio-temporal patterns of genetic variation to inform our understanding of population structure, gene flow and pedigree. Recent emphasis in comparative functional genomics, however, has fuelled a resurgence of interest in functionally important genetic variation that underpins phenotypic traits of adaptive or ecological significance. It may prove a major challenge to transfer genomics information from classical model species to examine functional diversity in non-model species in natural populations, but already multiple gene-targeted candidate loci with major effect on phenotype and fitness have been identified. Here we briefly describe some of the research strategies used for isolating and characterising functional genetic diversity at candidate gene-targeted loci, and illustrate the efficacy of some of these approaches using our own studies on red grouse (Lagopus lagopus scoticus). We then review how candidate gene markers have been used to: (1) quantify genetic diversity among populations to identify those depauperate in genetic diversity and requiring specific management action; (2) identify the strength and mode of selection operating on individuals within natural populations; and (3) understand direct mechanistic links between allelic variation at single genes and variance in individual fitness.     

Selection and validation of reference genes for real-time RT-PCR studies in the non-model species Delomys sublineatus, an endemic Brazilian rodent

Quantitative real-time RT-PCR (qRT-PCR) is a sensitive technique for gene expression analysis. A critical factor for creating reliable data in relative quantification is the normalization of the expression data of genes of interest. Therefore the needed normalization factor is calculated out of the expression data of co-amplified genes that are stable expressed in the certain sample material, the so-called reference genes. In this study, we demonstrate the important process of validating potential reference genes using a non-model species. As there are almost no sequences known of the Pallid Atlantic Forest Rat (Delomys sublineatus), a rodent used as indicator species in conservation studies of the endangered Brazilian rainforest, suitable primer sets are more problematic to find than in model species. Out of nine tested primer sets designed for the fully sequenced Mus musculus, five could be used for the establishment of a proper running SYBR-Green assay and validation of their constant expression. qRT-PCR results of 12 cDNAs of Delomys livers were analyzed with three different validation software programs: BestKeeper, NormFinder and geNorm. Our approach showed that out of the five (Sdha, Canx, Pgk1, Actb and Actg1) potential reference genes, the first four should be used for accurate normalization in further relative quantification analyses. Transferring data from close-by model organisms makes high sensitive real-time RT-PCR applicable even to free-ranging non-model organisms. Our approach might be suitable for other non-model organisms.     

A review of catfish genomics: progress and perspectives

Catfish is one of the lower teleosts whose genome research is important for evolutionary genomics. As the major aquaculture species in the USA, its genome research also has practical and economical implications. Much progress has been made in recent years, including the development of large numbers of molecular markers, the construction of framework genetic linkage maps, the identification of putative markers involved in performance traits, and the development of genomic resources. Repetitive elements have been identified and characterized in the catfish genome that should facilitate physical analysis of the catfish genome. A large number of genes or full-length cDNAs have been analysed using genomic approaches, providing information on gene structure, gene evolution and gene expression in relation to functions. Catfish genome research has come to a stage when physical mapping through BAC contig construction is greatly demanded, in order to develop regional markers for QTL analysis and for large-scale comparative mapping. The current effort in large-scale EST analysis and type I marker mapping should further enhance research efficiency through comparative mapping. Candidate gene identification is being accelerated through the use of cDNA microarrays.