Huge Genome Research Articles

Chromosome arm-specific BAC end sequences permit comparative analysis of homoeologous chromosomes and genomes of polyploid wheat

BackgroundBread wheat, one of the world’s staple food crops, has the largest, highly repetitive and polyploid genome among the cereal crops. The wheat genome holds the key to crop genetic improvement against challenges such as climate change, environmental degradation, and water scarcity. To unravel the complex wheat genome, the International Wheat Genome Sequencing Consortium (IWGSC) is pursuing a chromosome- and chromosome arm-based approach to physical mapping and sequencing. Here we report on the use of a BAC library made from flow-sorted telosomic chromosome 3A short arm (t3AS) for marker development and analysis of sequence composition and comparative evolution of homoeologous genomes of hexaploid wheat.ResultsThe end-sequencing of 9,984 random BACs from a chromosome arm 3AS-specific library (TaaCsp3AShA) generated 11,014,359 bp of high quality sequence from 17,591 BAC-ends with an average length of 626 bp. The sequence represents 3.2% of t3AS with an average DNA sequence read every 19 kb. Overall, 79% of the sequence consisted of repetitive elements, 1.38% as coding regions (estimated 2,850 genes) and another 19% of unknown origin. Comparative sequence analysis suggested that 70-77% of the genes present in both 3A and 3B were syntenic with model species. Among the transposable elements, gypsy/sabrina (12.4%) was the most abundant repeat and was significantly more frequent in 3A compared to homoeologous chromosome 3B. Twenty novel repetitive sequences were also identified using de novo repeat identification. BESs were screened to identify simple sequence repeats (SSR) and transposable element junctions. A total of 1,057 SSRs were identified with a density of one per 10.4 kb, and 7,928 junctions between transposable elements (TE) and other sequences were identified with a density of one per 1.39 kb. With the objective of enhancing the marker density of chromosome 3AS, oligonucleotide primers were successfully designed from 758 SSRs and 695 Insertion Site Based Polymorphisms (ISBPs). Of the 96 ISBP primer pairs tested, 28 (29%) were 3A-specific and compared to 17 (18%) for 96 SSRs.ConclusionThis work reports on the use of wheat chromosome arm 3AS-specific BAC library for the targeted generation of sequence data from a particular region of the huge genome of wheat. A large quantity of sequences were generated from the A genome of hexaploid wheat for comparative genome analysis with homoeologous B and D genomes and other model grass genomes. Hundreds of molecular markers were developed from the 3AS arm-specific sequences; these and other sequences will be useful in gene discovery and physical mapping.

Perspectives of Integrative Cancer Genomics in Next Generation Sequencing Era

The explosive development of genomics technologies including microarrays and next generation sequencing (NGS) has provided comprehensive maps of cancer genomes, including the expression of mRNAs and microRNAs, DNA copy numbers, sequence variations, and epigenetic changes. These genome-wide profiles of the genetic aberrations could reveal the candidates for diagnostic and/or prognostic biomarkers as well as mechanistic insights into tumor development and progression. Recent efforts to establish the huge cancer genome compendium and integrative omics analyses, so-called "integromics", have extended our understanding on the cancer genome, showing its daunting complexity and heterogeneity. However, the challenges of the structured integration, sharing, and interpretation of the big omics data still remain to be resolved. Here, we review several issues raised in cancer omics data analysis, including NGS, focusing particularly on the study design and analysis strategies. This might be helpful to understand the current trends and strategies of the rapidly evolving cancer genomics research.

Evolution of the large genome in Capsicum annuum occurred through accumulation of single‐type long terminal repeat retrotransposons and their derivatives

Although plant genome sizes are extremely diverse, the mechanism underlying the expansion of huge genomes that did not experience whole-genome duplication has not been elucidated. The pepper, Capsicum annuum, is an excellent model for studies of genome expansion due to its large genome size (2700 Mb) and the absence of whole genome duplication. As most of the pepper genome structure has been identified as constitutive heterochromatin, we investigated the evolution of this region in detail. Our findings show that the constitutive heterochromatin in pepper was actively expanded 20.0-7.5 million years ago through a massive accumulation of single-type Ty3/Gypsy-like elements that belong to the Del subgroup. Interestingly, derivatives of the Del elements, such as non-autonomous long terminal repeat retrotransposons and long-unit tandem repeats, played important roles in the expansion of constitutive heterochromatic regions. This expansion occurred not only in the existing heterochromatic regions but also into the euchromatic regions. Furthermore, our results revealed a repeat of unit length 18-24 kb. This repeat was found not only in the pepper genome but also in the other solanaceous species, such as potato and tomato. These results represent a characteristic mechanism for large genome evolution in plants.

Barley: Emergence as a New Research Material of Crop Science

The completion of genome sequencing, advances in a wide range of analytic technologies, greater research platforms and the emergence of bioinformatics procedures, as well as the development of related resources, have contributed to improvements in the quality of research not only in model species but also in crop plants and livestock. Sustainable agricultural production is an urgent issue in the context of global climate change and food security (Brown and Funk 2008, Turner et al. 2009). In order to address this issue, the integration of a broad spectrum of analytical tools and resources and an understanding of genetic mechanisms for agriculturally important traits is needed (Yamamoto et al. 2009, Mochida and Shinozaki 2010). Several essential features of barley (Hordeum vulgare L.) contribute to the broad utilization of this crop in genetic studies. These features include (i) the crop’s diploid nature with a high degree of inbreeding; (ii) the low chromosome number (2n = 14) with large size; (iii) the ease of cross-breeding; and (iv) the ease of cultivation in a wide range of climatic conditions. Cultivated barley, which ranks fourth among cereals with respect to worldwide production, is also well known as an extensively studied plant species in the field of genetics. Regarding its geographic adaptability, barley is particularly noted for its tolerance to cold, drought, alkalinity and salinity. In recent years, to address its huge genome size ( 5,000 Mb), research resources essential for barley genomic studies have been developed, including a large number of expressed sequence tags (ESTs). These have been widely used for barley genome analyses such as DNA marker generation and the construction of microarrays. Recent innovations in sequencing technology, which allow for working on a massive scale by genotyping thousands of single nucleotide polymorphisms (SNPs) on a genome-wide scale, have enabled us to dissect many genetically and biologically agronomically important complex traits. Advanced mapping populations, including chromosome segment substitution lines (CSSLs), have worked as the engines of genetic dissection of quantitative trait loci (QTLs) (Fukuoka et al. 2010). Resources for barley functional genomics have improved over the last decade, and several high-density genetic maps utilizing various types of molecular markers have been constructed (Close et al. 2009, Schulte et al. 2009). Several CSSLs have also been developed, and these are being used for various QTL discovery and related analyses in barley (e.g. Hori et al. 2005). Furthermore, >370,000 barley germplasms are preserved as ex situ collections in representative genebanks, including Okayama University (http://www .shigen.nig.ac.jp/barley/), and worldwide. In this special issue on barley in Plant and Cell Physiology, we discuss the historic advantages of barley as a genetic research material, as well as crop improvements, and briefly outline recent achievements in the establishment of genomic infrastructure that have enabled us to examine the characteristic traits of barley and/or to compare findings with other plant species such as Arabidopsis, rice, maize and soybean. Sato et al. (pp. 728–737) provided new barley research resources in the form of a doubled haploid population derived from the cross between the malting variety ‘Haruna Nijo’ and the Japanese landrace ‘Akashinriki,’ as well as 35 CSSL introgressions from ‘Akashinriki’ on a ‘Haruna Nijo’ background. Several genes controlling barley flower and inflorescence morphology have been isolated by means of map-based cloning technology, including the genes encoding the six-rowed spike (Komatsuda et al. 2007) and naked caryopsis (Taketa et al. 2008). These morphological characteristics and the nonbrittleness (grain shattering) of barley are well-known characteristic traits of domesticated barley, and a model of the barley domestication process has been developed based on archeological evidence of these characteristics (Zohary and Hopf 2000). Sakuma et al. (pp. 738–749) provides an overview of the disarticulation systems and inflorescence characteristics, along with the genes underlying these traits, occurring in the Triticeae tribe. In spite of its large genome, barley is recognized as a good genomic model of the Triticeae tribe, which includes cultivated wheat (einkorn, durum and bread wheats), rye and their respective wild relatives (Schulte et al. 2009). The evolution of the polyploid wheats is distinctive in that domestication, natural hybridization and allopolyploid speciation have significant impacts on their diversification. In this special issue, Matsuoka (pp. 750–764) outlines the phylogenetic relationship between cultivated wheats and their wild relatives and provides an overview of the recent progress and remaining questions in our

Multiple DNA damage recognition factors involved in mammalian nucleotide excision repair

The nucleotide excision repair (NER) subpathway operating throughout the mammalian genome is a versatile DNA repair system that can remove a wide variety of helix-distorting base lesions. This system contributes to prevention of blockage of DNA replication by the lesions, thereby suppressing mutagenesis and carcinogenesis. Therefore, it is of fundamental significance to understand how the huge genome can be surveyed for occurrence of a small number of lesions. Recent studies have revealed that this difficult task seems to be accomplished through sequential actions of multiple DNA damage recognition factors, including UV-DDB, XPC, and TFIIH. Notably, these factors adopt completely different strategies to recognize DNA damage. XPC detects disruption and/or destabilization of the base pairing, which ensures a broad spectrum of substrate specificity for global genome NER. In contrast, UV-DDB directly recognizes particular types of lesions, such as UV-induced photoproducts, thereby vitally recruiting XPC as well as further extending the substrate specificity. After DNA binding by XPC, moreover, the helicase activity associated with TFIIH scans a DNA strand to make a final search for the presence of aberrant chemical modifications of DNA. The combination of these different strategies makes a crucial contribution to simultaneously achieving efficiency, accuracy, and versatility of the entire repair system.

BAC Libraries from Wheat Chromosome 7D: Efficient Tool for Positional Cloning of Aphid Resistance Genes

Positional cloning in bread wheat is a tedious task due to its huge genome size and hexaploid character. BAC libraries represent an essential tool for positional cloning. However, wheat BAC libraries comprise more than million clones, which makes their screening very laborious. Here, we present a targeted approach based on chromosome-specific BAC libraries. Such libraries were constructed from flow-sorted arms of wheat chromosome 7D. A library from the short arm (7DS) consisting of 49,152 clones with 113 kb insert size represented 12.1 arm equivalents whereas a library from the long arm (7DL) comprised 50,304 clones of 116 kb providing 14.9x arm coverage. The 7DS library was PCR screened with markers linked to Russian wheat aphid resistance gene DnCI2401, the 7DL library was screened by hybridization with a probe linked to greenbug resistance gene Gb3. The small number of clones combined with high coverage made the screening highly efficient and cost effective.

In Vitro vs In Silico Detected SNPs for the Development of a Genotyping Array: What Can We Learn from a Non-Model Species?

BackgroundThere is considerable interest in the high-throughput discovery and genotyping of single nucleotide polymorphisms (SNPs) to accelerate genetic mapping and enable association studies. This study provides an assessment of EST-derived and resequencing-derived SNP quality in maritime pine (Pinus pinaster Ait.), a conifer characterized by a huge genome size (∼23.8 Gb/C).Methodology/Principal FindingsA 384-SNPs GoldenGate genotyping array was built from i/ 184 SNPs originally detected in a set of 40 re-sequenced candidate genes (in vitro SNPs), chosen on the basis of functionality scores, presence of neighboring polymorphisms, minor allele frequencies and linkage disequilibrium and ii/ 200 SNPs screened from ESTs (in silico SNPs) selected based on the number of ESTs used for SNP detection, the SNP minor allele frequency and the quality of SNP flanking sequences. The global success rate of the assay was 66.9%, and a conversion rate (considering only polymorphic SNPs) of 51% was achieved. In vitro SNPs showed significantly higher genotyping-success and conversion rates than in silico SNPs (+11.5% and +18.5%, respectively). The reproducibility was 100%, and the genotyping error rate very low (0.54%, dropping down to 0.06% when removing four SNPs showing elevated error rates).Conclusions/SignificanceThis study demonstrates that ESTs provide a resource for SNP identification in non-model species, which do not require any additional bench work and little bio-informatics analysis. However, the time and cost benefits of in silico SNPs are counterbalanced by a lower conversion rate than in vitro SNPs. This drawback is acceptable for population-based experiments, but could be dramatic in experiments involving samples from narrow genetic backgrounds. In addition, we showed that both the visual inspection of genotyping clusters and the estimation of a per SNP error rate should help identify markers that are not suitable to the GoldenGate technology in species characterized by a large and complex genome.

Chromosome spreading of associated transposable elements and ribosomal DNA in the fish Erythrinus erythrinus. Implications for genome change and karyoevolution in fish

BackgroundThe fish, Erythrinus erythrinus, shows an interpopulation diversity, with four karyomorphs differing by chromosomal number, chromosomal morphology and heteromorphic sex chromosomes. Karyomorph A has a diploid number of 2n = 54 and does not have differentiated sex chromosomes. Karyomorph D has 2n = 52 chromosomes in females and 2n = 51 in males, and it is most likely derived from karyomorph A by the differentiation of a multiple X1X2Y sex chromosome system. In this study, we analyzed karyomorphs A and D by means of cytogenetic approaches to evaluate their evolutionary relationship.ResultsConspicuous differences in the distribution of the 5S rDNA and Rex3 non-LTR retrotransposon were found between the two karyomorphs, while no changes in the heterochromatin and 18S rDNA patterns were found between them. Rex3 was interstitially dispersed in most chromosomes. It had a compartmentalized distribution in the centromeric regions of only two acrocentric chromosomes in karyomorph A. In comparison, in karyomorph D, Rex3 was found in 22 acrocentric chromosomes in females and 21 in males. All 5S rDNA sites co-localized with Rex3, suggesting that these are associated in the genome. In addition, the origin of the large metacentric Y chromosome in karyomorph D by centric fusion was highlighted by the presence of internal telomeric sites and 5S rDNA/Rex3 sites on this chromosome.ConclusionWe demonstrated that some repetitive DNAs (5S rDNA, Rex3 retroelement and (TTAGGG)n telomeric repeats) were crucial for the evolutionary divergence inside E. erythrinus. These elements were strongly associated with the karyomorphic evolution of this species. Our results indicate that chromosomal rearrangements and genomic modifications were significant events during the course of evolution of this fish. We detected centric fusions that were associated with the differentiation of the multiple sex chromosomes in karyomorph D, as well as a surprising increase of associated 5S rDNA/Rex3 loci, in contrast to karyomorph A. In this sense, E. erythrinus emerges as an excellent model system for better understanding the evolutionary mechanisms underlying the huge genome diversity in fish. This organism can also contribute to understanding vertebrate genome evolution as a whole.

Computational Resources in Infectious Disease: Limitations and Challenges

Infectious diseases continue to be a major cause of death in the human population, with tuberculosis and malaria affecting 500 million people and causing 1–2 million deaths annually [1]. The situation is aggravated by the increasing prevalence of antibiotic-resistant bacteria and the risk that terrorists might use infectious organisms to aggress target populations. During the past decade, we have also witnessed the emergence of many new pathogens not previously detected in humans, such as the avian influenza virus, severe acute respiratory syndrome (SARS), and Ebola. The appearance of these novel agents and the reemergence of previously eradicated pathogens may be associated with the growing human population, flooding, and other environmental perturbations; global travel and migration; and animal trade and domestic animal husbandry practices. Simultaneously, we have seen an explosion of genome sequence data. Sequencing is now the method of choice for characterization of new disease agents, as exemplified by the rapid sequencing of the genome of the SARS virus, which was made available within a month of identification of the virus [2],[3]. Like SARS, most newly emerging disease agents originate in animals and have been transmitted to humans recently at food markets, by insect bites, or through hunting [1]. The new sequencing technologies enable small academic research groups to create huge genome datasets at low cost. As a result, scientists with expertise in other fields of research, such as clinical microbiology and ecology, are just beginning to face the challenge of handling, comparing, and extracting useful information from millions of sequences. Here, we discuss the limitations of publicly available resources in the field of genomics of emerging bacterial pathogens, emphasizing areas where increased efforts in computational biology are urgently needed.

Discovery and mapping of single feature polymorphisms in wheat using Affymetrix arrays

BackgroundWheat (Triticum aestivum L.) is a staple food crop worldwide. The wheat genome has not yet been sequenced due to its huge genome size (~17,000 Mb) and high levels of repetitive sequences; the whole genome sequence may not be expected in the near future. Available linkage maps have low marker density due to limitation in available markers; therefore new technologies that detect genome-wide polymorphisms are still needed to discover a large number of new markers for construction of high-resolution maps. A high-resolution map is a critical tool for gene isolation, molecular breeding and genomic research. Single feature polymorphism (SFP) is a new microarray-based type of marker that is detected by hybridization of DNA or cRNA to oligonucleotide probes. This study was conducted to explore the feasibility of using the Affymetrix GeneChip to discover and map SFPs in the large hexaploid wheat genome.ResultsSix wheat varieties of diverse origins (Ning 7840, Clark, Jagger, Encruzilhada, Chinese Spring, and Opata 85) were analyzed for significant probe by variety interactions and 396 probe sets with SFPs were identified. A subset of 164 unigenes was sequenced and 54% showed polymorphism within probes. Microarray analysis of 71 recombinant inbred lines from the cross Ning 7840/Clark identified 955 SFPs and 877 of them were mapped together with 269 simple sequence repeat markers. The SFPs were randomly distributed within a chromosome but were unevenly distributed among different genomes. The B genome had the most SFPs, and the D genome had the least. Map positions of a selected set of SFPs were validated by mapping single nucleotide polymorphism using SNaPshot and comparing with expressed sequence tags mapping data.ConclusionThe Affymetrix array is a cost-effective platform for SFP discovery and SFP mapping in wheat. The new high-density map constructed in this study will be a useful tool for genetic and genomic research in wheat.

The problem of the eukaryotic genome size

The current state of knowledge concerning the unsolved problem of the huge interspecific eukaryotic genome size variations not correlating with the species phenotypic complexity (C-value enigma also known as C-value paradox) is reviewed. Characteristic features of eukaryotic genome structure and molecular mechanisms that are the basis of genome size changes are examined in connection with the C-value enigma. It is emphasized that endogenous mutagens, including reactive oxygen species, create a constant nuclear environment where any genome evolves. An original quantitative model and general conception are proposed to explain the C-value enigma. In accordance with the theory, the noncoding sequences of the eukaryotic genome provide genes with global and differential protection against chemical mutagens and (in addition to the anti-mutagenesis and DNA repair systems) form a new, third system that protects eukaryotic genetic information. The joint action of these systems controls the spontaneous mutation rate in coding sequences of the eukaryotic genome. It is hypothesized that the genome size is inversely proportional to functional efficiency of the anti-mutagenesis and/or DNA repair systems in a particular biological species. In this connection, a model of eukaryotic genome evolution is proposed.

Dolichyl-Phosphate-Glucose Is Used To Make O-Glycans on Glycoproteins of Trichomonas vaginalis

Trichomonas vaginalis, the protist that causes vaginal itching, has a huge genome with numerous gene duplications. Recently we found that Trichomonas has numerous genes encoding putative dolichyl-phosphate-glucose (Dol-P-Glc) synthases (encoded by ALG5 genes) despite the fact that Trichomonas lacks the glycosyltransferases (encoded by ALG6, ALG8, and ALG10 genes) that use Dol-P-Glc to glucosylate dolichyl-PP-linked glycans. In addition, Trichomonas does not have a canonical DPM1 gene, encoding a dolichyl-P-mannose (Dol-P-Man) synthase. Here we show Trichomonas membranes have roughly 300 times the Dol-P-Glc synthase activity of Saccharomyces cerevisiae membranes and about one-fifth the Dol-P-Man synthase activity of Saccharomyces membranes. Endogenous Dol-P-hexoses of Trichomonas are relatively abundant and contain 16 isoprene units. Five paralogous Trichomonas ALG5 gene products have Dol-P-Glc synthase activity when expressed as recombinant proteins, and these Trichomonas Alg5s correct a carboxypeptidase N glycosylation defect in a Saccharomyces alg5 mutant in vivo. A recombinant Trichomonas Dpm1, which is deeply divergent in its sequence, has Dol-P-Man synthase activity. When radiolabeled Dol-P-Glc is incubated with Trichomonas membranes, Glc is incorporated into reducing and nonreducing sugars of O-glycans of endogenous glycoproteins. To our knowledge, this is the first demonstration of Dol-P-Glc as a sugar donor for O-glycans on glycoproteins.

Triticeae genomics: advances in sequence analysis of large genome cereal crops

Whole genome sequencing provides direct access to all genes of an organism and represents an essential step towards a systematic understanding of (crop) plant biology. Wheat and barley, two of the most important crop species worldwide, have two- to five-fold larger genomes than human - too large to be completely sequenced at current costs. Nevertheless, significant progress has been made to unlock the gene contents of these species by sequencing expressed sequence tags (EST) for high-density mapping and as a basis for elucidating gene function on a large scale. Several megabases of genomic (BAC) sequences have been obtained providing a first insight into the complexity of these huge cereal genomes. However, to fully exploit the information of the wheat and barley genomes for crop improvement, sequence analysis of a significantly larger portion of the Triticeae genomes is needed. In this review an overview of the current status of Triticeae genome sequencing and a perspective concerning future developments in cereal structural genomics is provided.

Genomic Resources for Asparagales

Enormous genomic resources have been developed for plants in the monocot order Poales; however, it is not known how useful these resources will be for other economically important monocots. Asparagales are a monophyletic order sister to class Commelinanae that carries Poales, and is the second most economically important monocot order. Development of genomic resources for and their application to Asparagales are challenging because of huge nuclear genomes and the relatively long generation times required to develop segregating families. We synthesized a normalized eDNA library of onion (Allium cepa) and produced II ,008 unique expressed sequence tags (ESTs) for comparative genomic analyses of Asparagales and Poales. Alignments of onion ESTs, Poales ESTs, and genomic sequences from rice were used to design oligonucleotide primers amplifying genomic regions from asparagus, garlic, and onion. Sequence analyses of these genomic regions revealed microsatellites, insertions/deletions, and single nucleotide polymorphisms for comparative mapping of rice and Asparagales vegetables. Initial mapping revealed no obvious synteny at the recombinationallevel between onion and rice, indicating that genomic resources developed for Poales may not be applicable to the monocots as a whole. Genomic analyses of Asparagales would greatly benefit from EST sequencing and deep-coverage, large-insert genomic libraries of representative small-genome model species within the "higher" and "lower" Asparagales, such as asparagus and orchid, respectively.

Comparative genomic analyses in Asparagus

Garden asparagus (Asparagus officinalis L.) belongs to the monocot family Asparagaceae in the order Asparagales. Onion (Allium cepa L.) and Asparagus officinalis are 2 of the most economically important plants of the core Asparagales, a well supported monophyletic group within the Asparagales. Coding regions in onion have lower GC contents than the grasses. We compared the GC content of 3374 unique expressed sequence tags (ESTs) from A. officinalis with Lycoris longituba and onion (both members of the core Asparagales), Acorus americanus (sister to all other monocots), the grasses, and Arabidopsis. Although ESTs in A. officinalis and Acorus had a higher average GC content than Arabidopsis, Lycoris, and onion, all were clearly lower than the grasses. The Asparagaceae have the smallest nuclear genomes among all plants in the core Asparagales, which typically have huge genomes. Within the Asparagaceae, European Asparagus species have approximately twice the nuclear DNA of that of southern African Asparagus species. We cloned and sequenced 20 genomic amplicons from European A. officinalis and the southern African species Asparagus plumosus and observed no clear evidence for a recent genome doubling in A. officinalis relative to A. plumosus. These results indicate that members of the genus Asparagus with smaller genomes may be useful genomic models for plants in the core Asparagales.

Updating of transposable element annotations from large wheat genomic sequences reveals diverse activities and gene associations

Triticeae species (including wheat, barley and rye) have huge and complex genomes due to polyploidization and a high content of transposable elements (TEs). TEs are known to play a major role in the structure and evolutionary dynamics of Triticeae genomes. During the last 5 years, substantial stretches of contiguous genomic sequence from various species of Triticeae have been generated, making it necessary to update and standardize TE annotations and nomenclature. In this study we propose standard procedures for these tasks, based on structure, nucleic acid and protein sequence homologies. We report statistical analyses of TE composition and distribution in large blocks of genomic sequences from wheat and barley. Altogether, 3.8 Mb of wheat sequence available in the databases was analyzed or re-analyzed, and compared with 1.3 Mb of re-annotated genomic sequences from barley. The wheat sequences were relatively gene-rich (one gene per 23.9 kb), although wheat gene-derived sequences represented only 7.8% (159 elements) of the total, while the remainder mainly comprised coding sequences found in TEs (54.7%, 751 elements). Class I elements [mainly long terminal repeat (LTR) retrotransposons] accounted for the major proportion of TEs, in terms of sequence length as well as element number (83.6% and 498, respectively). In addition, we show that the gene-rich sequences of wheat genome A seem to have a higher TE content than those of genomes B and D, or of barley gene-rich sequences. Moreover, among the various TE groups, MITEs were most often associated with genes: 43.1% of MITEs fell into this category. Finally, the TRIM and copia elements were shown to be the most active TEs in the wheat genome. The implications of these results for the evolution of diploid and polyploid wheat species are discussed.

Secrets of a porkier porker

Gregor Mendel's remarkable studies of peas revealed a straightforward pattern of genetic inheritance. But since then we've learned that matters are not always so simple: many identifiable traits result from complex interactions between multiple genes and environmental factors. Current work in genetics aims to quantify the contributions of specific variations in each gene to the mix. But pinpointing the right spot in an animal's huge genome can be a nightmare, even in organisms that have had their genome completely sequenced.

USE OF AFLP MARKER TECHNIQUE FOR CLASSIFICATION OF ALSTROEMERIA SPP. AND CONSTRUCTION OF A LINKAGE MAP IN ALSTROEMERIA AUREA

ISHS International Symposium on Molecular Markers for Characterizing Genotypes and Identifying Cultivars in Horticulture USE OF AFLP MARKER TECHNIQUE FOR CLASSIFICATION OF ALSTROEMERIA SPP. AND CONSTRUCTION OF A LINKAGE MAP IN ALSTROEMERIA AUREA

Indexing huge genome sequences for solving various problems.

Because of the increase in the size of genome sequence databases, the importance of indexing the sequences for fast queries grows. Suffix trees and suffix arrays are used for simple queries. However these are not suitable for complicated queries from huge amount of sequences because the indices are stored in disk which has slow access speed. We propose storing the indices in memory in a compressed form. We use the compressed suffix array. It compactly stores the suffix array at the cost of theoretically a small slowdown in access speed. We experimentally show that the overhead of using the compressed suffix array is reasonable in practice. We also propose an approximate string matching algorithm which is suitable for the compressed suffix array. Furthermore, we have constructed the compressed suffix array of the whole human genome. Because its size is about 2G bytes, a workstation can handle the search index for the whole data in main memory, which will accelerate the speed of solving various problems in genome informatics.

Why work together?

Why work together?