Exploiting the complete yeast genome sequence

The completion of the genome sequence of the budding yeast Saccharomyces cerevisiae marks the dawn of an exciting new era in eukaryotic biology that will bring with it a new understanding of yeast, other model organisms, and human beings. This body of sequence data benefits yeast researchers by obviating the need for piecemeal sequencing of genes, and allows researchers working with other organisms to tap into experimental advantages inherent in the yeast system and learn from functionally characterized yeast gene products which are their proteins of interest. In addition, the yeast post-genome sequence era is serving as a testing ground for powerful new technologies, and proven experimental approaches are being applied for the first time in a comprehensive fashion on a complete eukaryotic gene repertoire.     

Advances in sequencing technology

Faster sequencing methods will undoubtedly lead to faster single nucleotide polymorphism (SNP) discovery. The Sanger method has served as the cornerstone for genome sequence production since 1977, close to almost 30 years of tremendous utility [Sanger, F., Nicklen, S., Coulson, A.R, DNA sequencing with chain-terminating inhibitors, Proc. Natl. Acad. Sci. U.S.A. 74 (1977) 5463-5467]. With the completion of the human genome sequence [Venter, J.C. et al., The sequence of the human genome, Science 291 (2001) 1304-1351; Lander, E.S. et al., Initial sequencing and analysis of the human genome, Nature 409 (2001) 860-921], there is now a focus on developing new sequencing methodologies that will enable "personal genomics", or the routine study of our individual genomes. Technologies that will lead us to this lofty goal are those that can provide improvements in three areas: read length, throughput, and cost. As progress is made in this field, large sections of genomes and then whole genomes of individuals will become increasingly more facile to sequence. SNP discovery efforts will be enhanced lock-step with these improvements. Here, the breadth of new sequencing approaches will be summarized including their status and prospects for enabling personal genomics.     

Reduced representation sequencing: a success in maize and a promise for other plant genomes

Plant, and particularly cereal genomes, are challenging to sequence due to their large size and high repetitive DNA content. Gene-enrichment strategies are alternative or complementary approaches to complete genome sequencing that yield, rapidly and inexpensively, useful sequence data from large and complex genomes. The maize genome is large (2.7 Gbp) and contains large amounts of conserved repetitive elements. Furthermore, the high allelic diversity found between maize inbred lines may necessitate sequencing several inbred lines in order to recover the maize "gene pool". Two gene-enrichment approaches, methylation filtration (MF) and high C(o)t (HC) sequencing have been tested in maize and their ability to sample the gene space has been examined. Combined with other genomic sequencing strategies, gene-enriched genomic sequencing is a practical way to examine the maize gene pool, to order and orient the genic sequences on the genome, and to enable investigation of gene content of other complex plant genomes.     

基因表达谱聚类/分类技术研究及展望

随着人类及多种模式生物全基因组测序基本完成,人类基因组计划的研究进入后基因组时代.后基因组时代研究的焦点已经从测序转向功能研究。聚类/分类技术作为分析基因表达谱和识别基因功能的重要工具之一,近年来获得很大的发展。对目前基因表达谱聚类/分类技术及它们的发展,进行了综述性的研究,分析了它们的优缺点,结合我们的研究,提出了解决问题的思路和方法,为基因表达谱的进一步研究提供了新的途径。     

Current status and future possibilities of molecular genetics techniques in <Emphasis Type="Italic">Brassica napus</Emphasis>

As PCR methods have improved over the last 15 years, there has been an upsurge in the number of new DNA marker tools, which has allowed the generation of high-density molecular maps for all the key Brassica crop types. Biotechnology and molecular plant breeding have emerged as a significant tool for molecular understanding that led to a significant crop improvement in the Brassica napus species. Brassica napus possess a very complicated polyploidy-based genomics. The quantitative trait locus (QTL) is not sufficient to develop effective markers for trait introgression. In the coming years, the molecular marker techniques will be more effective to determine the whole genome impairing desired traits. Available genetic markers using the single-nucleotide sequence (SNP) technique and high-throughput sequencing are effective in determining the maps and genome polymorphisms amongst candidate genes and allele interactions. High-throughput sequencing and gene mapping techniques are involved in discovering new alleles and gene pairs, serving as a bridge between the gene map and genome evaluation. The decreasing cost for DNA sequencing will help in discovering full genome sequences with less resources and time. This review describes (1) the current use of integrated approaches, such as molecular marker technologies, to determine genome arrangements and interspecific outcomes combined with cost-effective genomes to increase the efficiency in prognostic breeding efforts. (2) It also focused on functional genomics, proteomics and field-based breeding practices to achieve insight into the genetics underlying both simple and complex traits in canola.     

高通量测序技术结合正向遗传学手段在基因定位研究中的应用

传统的利用正向遗传学方法的基因定位一般是通过构建遗传连锁图谱进行的,该过程步骤繁琐、耗时耗力,很多情形下定位精确度低、区间大。随着高通量测序技术的快速发展以及测序成本的不断降低,多种简单快捷的利用测序手段定位基因的方法被开发出来,包括对突变体基因组直接测序定位、突变体材料构建混池测序定位和遗传分离群体测序构建图谱定位等,还可以对转录组和部分基因组进行测序定位。这些方法可以在核苷酸水平鉴定突变位点,并已推广到复杂的遗传背景中。近期报道的一些测序定位甚至是在不依赖于参考基因组序列、遗传杂交和连锁信息的情况下完成的,这使得很多非模式物种也能开展正向遗传学研究。本文就这些新技术及其在基因定位中的应用进行了综述。     

Harnessing Whole Genome Sequencing in Medical Mycology

Purpose of Review

Comparative genome sequencing studies of human fungal pathogens enable identification of genes and variants associated with virulence and drug resistance. This review describes current approaches, resources, and advances in applying whole genome sequencing to study clinically important fungal pathogens.

Recent Findings

Genomes for some important fungal pathogens were only recently assembled, revealing gene family expansions in many species and extreme gene loss in one obligate species. The scale and scope of species sequenced is rapidly expanding, leveraging technological advances to assemble and annotate genomes with higher precision. By using iteratively improved reference assemblies or those generated de novo for new species, recent studies have compared the sequence of isolates representing populations or clinical cohorts. Whole genome approaches provide the resolution necessary for comparison of closely related isolates, for example, in the analysis of outbreaks or sampled across time within a single host.

Summary

Genomic analysis of fungal pathogens has enabled both basic research and diagnostic studies. The increased scale of sequencing can be applied across populations, and new metagenomic methods allow direct analysis of complex samples.

     

Clearing a path through the jungle: progress in Arabidopsis genomics

Progress in sequencing the genome of the model plant Arabidopsis is reviewed. The resulting analysis of the sequence indicates an information-rich genome that is being tackled by a variety of high-throughput approaches aimed at understanding the functions of plant genes. The information derived from these systematic studies is providing important new knowledge of biological processes found uniquely in plants for comparison with that obtained in other multicellular organisms.     

Finishing the finished human chromosome 22 sequence

Background

Although the human genome sequence was declared complete in 2004, the sequence was interrupted by 341 gaps of which 308 lay in an estimated approximately 28 Mb of euchromatin. While these gaps constitute only approximately 1% of the sequence, knowledge of the full complement of human genes and regulatory elements is incomplete without their sequences.

Results

We have used a combination of conventional chromosome walking (aided by the availability of end sequences) in fosmid and bacterial artificial chromosome (BAC) libraries, whole chromosome shotgun sequencing, comparative genome analysis and long PCR to finish 8 of the 11 gaps in the initial chromosome 22 sequence. In addition, we have patched four regions of the initial sequence where the original clones were found to be deleted, or contained a deletion allele of a known gene, with a further 126 kb of new sequence. Over 1.018 Mb of new sequence has been generated to extend into and close the gaps, and we have annotated 16 new or extended gene structures and one pseudogene.

Conclusion

Thus, we have made significant progress to completing the sequence of the euchromatic regions of human chromosome 22 using a combination of detailed approaches. Our experience suggests that substantial work remains to close the outstanding gaps in the human genome sequence.     

Leafing through the genomes of our major crop plants: strategies for capturing unique information

Crop plants not only have economic significance, but also comprise important botanical models for evolution and development. This is reflected by the recent increase in the percentage of publicly available sequence data that are derived from angiosperms. Further genome sequencing of the major crop plants will offer new learning opportunities, but their large, repetitive, and often polyploid genomes present challenges. Reduced-representation approaches - such as EST sequencing, methyl filtration and Cot-based cloning and sequencing - provide increased efficiency in extracting key information from crop genomes without full-genome sequencing. Combining these methods with phylogenetically stratified sampling to allow comparative genomic approaches has the potential to further accelerate progress in angiosperm genomics.     

Next-generation sequencing and genome evolution in allopolyploids

?Premise of the study: Hybridization and polyploidization (allopolyploidy) are ubiquitous in the evolution of plants, but tracing the origins and subsequent evolution of the constituent genomes of allopolyploids has been challenging. Genome doubling greatly complicates genetic analyses, and this has long hindered investigation in that most allopolyploid species are "nonmodel" organisms. However, recent advances in sequencing and genomics technologies now provide unprecedented opportunities to analyze numerous genetic markers in multiple individuals in any organism. ?Methods: Here we review the application of next-generation sequencing technologies to the study of three aspects of allopolyploid genome evolution: duplicated gene loss and expression in two recently formed Tragopogon allopolyploids, intergenomic interactions and chromosomal evolution in Tragopogon miscellus, and repetitive DNA evolution in Nicotiana allopolyploids. ?Key results: For the first time, we can explore on a genomic scale the evolutionary processes that are ongoing in natural allopolyploids and not be restricted to well-studied crops and genetic models. ?Conclusions: These approaches can be easily and inexpensively applied to many other plant species-making any evolutionarily provocative system a new "model" system.     

SNP genotyping and population genomics from expressed sequences – current advances and future possibilities

With the rapid increase in production of genetic data from new sequencing technologies, a myriad of new ways to study genomic patterns in nonmodel organisms are currently possible. Because genome assembly still remains a complicated procedure, and because the functional role of much of the genome is unclear, focusing on SNP genotyping from expressed sequences provides a cost‐effective way to reduce complexity while still retaining functionally relevant information. This review summarizes current methods, identifies ways that using expressed sequence data benefits population genomic inference and explores how current practitioners evaluate and overcome challenges that are commonly encountered. We focus particularly on the additional power of functional analysis provided by expressed sequence data and how these analyses push beyond allele pattern data available from nonfunction genomic approaches. The massive data sets generated by these approaches create opportunities and problems as well – especially false positives. We discuss methods available to validate results from expressed SNP genotyping assays, new approaches that sidestep use of mRNA and review follow‐up experiments that can focus on evolutionary mechanisms acting across the genome.     

Direct mutation analysis by high-throughput sequencing: from germline to low-abundant, somatic variants

DNA mutations are the source of genetic variation within populations. The majority of mutations with observable effects are deleterious. In humans mutations in the germ line can cause genetic disease. In somatic cells multiple rounds of mutations and selection lead to cancer. The study of genetic variation has progressed rapidly since the completion of the draft sequence of the human genome. Recent advances in sequencing technology, most importantly the introduction of massively parallel sequencing (MPS), have resulted in more than a hundred-fold reduction in the time and cost required for sequencing nucleic acids. These improvements have greatly expanded the use of sequencing as a practical tool for mutation analysis. While in the past the high cost of sequencing limited mutation analysis to selectable markers or small forward mutation targets assumed to be representative for the genome overall, current platforms allow whole genome sequencing for less than $5000. This has already given rise to direct estimates of germline mutation rates in multiple organisms including humans by comparing whole genome sequences between parents and offspring. Here we present a brief history of the field of mutation research, with a focus on classical tools for the measurement of mutation rates. We then review MPS, how it is currently applied and the new insight into human and animal mutation frequencies and spectra that has been obtained from whole genome sequencing. While great progress has been made, we note that the single most important limitation of current MPS approaches for mutation analysis is the inability to address low-abundance mutations that turn somatic tissues into mosaics of cells. Such mutations are at the basis of intra-tumor heterogeneity, with important implications for clinical diagnosis, and could also contribute to somatic diseases other than cancer, including aging. Some possible approaches to gain access to low-abundance mutations are discussed, with a brief overview of new sequencing platforms that are currently waiting in the wings to advance this exploding field even further.     

The Hydra genome: insights, puzzles and opportunities for developmental biologists

The sequencing of a Hydra genome marked the beginning of a new era in the use of Hydra as a developmental model. Analysis of the genome sequence has led to a number of interesting findings, has required revisiting of previous work, and most importantly presents new opportunities for understanding the developmental biology of Hydra. This review will de-scribe the history of the Hydra genome project, a selection of results from it that are relevant to developmental biologists, and some future research opportunities provided by Hydra genomics.     

Sequence analysis of genes and genomes

A major step towards understanding of the genetic basis of an organism is the complete sequence determination of all genes in its genome. The development of powerful techniques for DNA sequencing has enabled sequencing of large amounts of gene fragments and even complete genomes. Important new techniques for physical mapping, DNA sequencing and sequence analysis have been developed. To increase the throughput, automated procedures for sample preparation and new software for sequence analysis have been applied. This review describes the development of new sequencing methods and the optimisation of sequencing strategies for whole genome and cDNA analysis, as well as discusses issues regarding sequence analysis and annotation.     

A proposal to sequence the genome of a garter snake (Thamnophis sirtalis)

Here we develop an argument in support of sequencing a garter snake (Thamnophis sirtalis) genome, and outline a plan to accomplish this. This snake is a common, widespread, nonvenomous North American species that has served as a model for diverse studies in evolutionary biology, physiology, genomics, behavior and coevolution. The anole lizard is currently the only genome sequence available for a non-avian reptile. Thus, the garter snake at this time would be the first available snake genome sequence and as such would provide much needed comparative representation of non-avian reptilian genomes, and would also allow critical new insights for vertebrate comparative genomic studies. We outline the major areas of discovery that the availability of the garter snake genome would enable, and describe a plan for whole-genome sequencing.     

Facilitating genome navigation: survey sequencing and dense radiation-hybrid gene mapping

Accurate and comprehensive sequence coverage for large genomes has been restricted to only a few species of specific interest. Lower sequence coverage (survey sequencing) of related species can yield a wealth of information about gene content and putative regulatory elements. But survey sequences lack long-range continuity and provide only a fragmented view of a genome. Here we show the usefulness of combining survey sequencing with dense radiation-hybrid (RH) maps for extracting maximum comparative genome information from model organisms. Based on results from the canine system, we propose that from now on all low-pass sequencing projects should be accompanied by a dense, gene-based RH map-construction effort to extract maximum information from the genome with a marginal extra cost.     

DraGnET: Software for storing,managing and analyzing annotated draft genome sequence data

Background  

New "next generation" DNA sequencing technologies offer individual researchers the ability to rapidly generate large amounts of genome sequence data at dramatically reduced costs. As a result, a need has arisen for new software tools for storage, management and analysis of genome sequence data. Although bioinformatic tools are available for the analysis and management of genome sequences, limitations still remain. For example, restrictions on the submission of data and use of these tools may be imposed, thereby making them unsuitable for sequencing projects that need to remain in-house or proprietary during their initial stages. Furthermore, the availability and use of next generation sequencing in industrial, governmental and academic environments requires biologist to have access to computational support for the curation and analysis of the data generated; however, this type of support is not always immediately available.