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Genomics

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PubMed2005

Analysis of human cytomegalovirus oriLyt sequence requirements in the context of the viral genome.

During the lytic phase of infection, replication of herpesvirus genomes initiates at the lytic origin of replication, oriLyt. Many herpesviruses harbor more than one lytic origin, but so far, only one oriLyt has been identified for human cytomegalovirus (HCMV). Evidence for the existence of additional lytic origins of HCMV has remained elusive. On the basis of transient replication assays with cloned viral fragments, HCMV oriLyt was described as a core region of 1.5 kbp (minimal oriLyt) flanked by auxiliary sequences required for maximal replication activity (complete oriLyt). It remained unclear whether minimal oriLyt alone can drive the replication of HCMV in the absence of its accessory regions. To investigate the sequence requirements of oriLyt in the context of the viral genome, mutant genomes were constructed lacking either minimal or complete oriLyt. These genomes were not infectious, suggesting that HCMV contains only one lytic origin of replication. Either minimal or complete oriLyt was then ectopically reinserted into the oriLyt-depleted genomes. Only the mutant genomes carrying complete oriLyt led to infectious progeny. Remarkably, inversion of the 1.5-kbp core origin relative to its flanking regions resulted in a replication-defective genome. Mutant genomes carrying minimal oriLyt plus the left flanking region gave rise to minifoci, but genomes harboring minimal oriLyt together with the right flanking region were noninfectious. We conclude that the previously defined minimal lytic origin is not sufficient to drive replication of the HCMV genome. Rather, our results underline the importance of the accessory regions and their correct arrangement for the function of HCMV oriLyt.

3' Flanking Region↗

PubMed1997

Genome analysis of South American Elymus (Triticeae) and Leymus (Triticeae) species based on variation in repeated nucleotide sequences.

Variation in repeated nucleotide sequences (RNSs) at the level of entire families assayed by Southern blot hybridization is remarkably low within species and is a powerful tool for scrutinizing the origin of allopolyploid taxa. Thirty-one clones from RNSs isolated from different Triticeae genera were used to investigate the genome constitution of South American Elymus. One of these clones, pHch2, preferentially hybridized with the diploid H genome Hordeum species. Hybridization of this clone with a worldwide collection of Elymus species with known genome formulas showed that pHch2 clearly discriminates Elymus species with the H genome (StH, StHH, StStH, and StHY) from those with other genome combinations (StY, StStY, StPY, and StP). Hybridization with pHch2 indicates the presence of the H genome in all South American Elymus species except Elymus erianthus and Elymus mendocinus. Hybridization with additional clones that revealed differential restriction fragments (marker bands) for the H genome confirmed the absence of the H genome in these species. Differential restriction fragments for the Ns genome of Psathyrostachys were detected in E. erianthus and E. mendocinus and three species of Leymus. Based on genome constitution, morphology, and habitat, E. erianthus and E. mendocinus were transferred to the genus Leymus.

DNA, Plant↗

PubMed2006

Genomic alterations in ectopic and eutopic endometria of women with endometriosis.

BACKGROUND/AIMS: Ectopic and eutopic endometria of women with endometriosis have been shown to contain genomic alterations. In this study, we sought to identify genomic alterations in both ectopic and eutopic endometria of 5 women with endometriosis and to examine whether the two tissues share any genomic alterations. We also attempted to classify tissue samples based on the alteration profiles. METHODS: Laser capture microdissection was used to harvest epithelial cells. High-resolution comparative genomic hybridization microarrays were used to identify genomic alterations in eutopic and ectopic endometria from 5 women with endometriosis. The results were validated by real-time RT-PCR and loss of heterozygosity analysis. RESULTS: All 5 patients had genomic alterations in their eutopic and ectopic endometria. The ectopic and eutopic endometria shared a sizable portion of genomic alterations. Cluster analysis of the genomic alteration profile correctly and consistently classified tissue samples from the 5 patients into two groups: peritoneal implants and ovarian cysts. CONCLUSIONS: The correct classification of tissue samples into two groups suggests that these two subtypes of endometriosis may have distinct genomic alteration profiles and are thus distinct entities, as previously proposed. The shared alterations are likely the ones that harbor genes responsible for an increased propensity of endometrial debris to implant to the ectopic sites and for early events that lead to the establishment of lesions. Alternatively, these shared alterations may harbor genes that are dysregulated in both eutopic and ectopic endometria. The identified genomic alterations should help to zero in genes involved in the pathogenesis of endometriosis in future studies.

Adult↗

PubMed2002

Bootstrap, Bayesian probability and maximum likelihood mapping: exploring new tools for comparative genome analyses.

BACKGROUND: Horizontal gene transfer (HGT) played an important role in shaping microbial genomes. In addition to genes under sporadic selection, HGT also affects housekeeping genes and those involved in information processing, even ribosomal RNA encoding genes. Here we describe tools that provide an assessment and graphic illustration of the mosaic nature of microbial genomes. RESULTS: We adapted the Maximum Likelihood (ML) mapping to the analyses of all detected quartets of orthologous genes found in four genomes. We have automated the assembly and analyses of these quartets of orthologs given the selection of four genomes. We compared the ML-mapping approach to more rigorous Bayesian probability and Bootstrap mapping techniques. The latter two approaches appear to be more conservative than the ML-mapping approach, but qualitatively all three approaches give equivalent results. All three tools were tested on mitochondrial genomes, which presumably were inherited as a single linkage group. CONCLUSIONS: In some instances of interphylum relationships we find nearly equal numbers of quartets strongly supporting the three possible topologies. In contrast, our analyses of genome quartets containing the cyanobacterium Synechocystis sp. indicate that a large part of the cyanobacterial genome is related to that of low GC Gram positives. Other groups that had been suggested as sister groups to the cyanobacteria contain many fewer genes that group with the Synechocystis orthologs. Interdomain comparisons of genome quartets containing the archaeon Halobacterium sp. revealed that Halobacterium sp. shares more genes with Bacteria that live in the same environment than with Bacteria that are more closely related based on rRNA phylogeny. Many of these genes encode proteins involved in substrate transport and metabolism and in information storage and processing. The performed analyses demonstrate that relationships among prokaryotes cannot be accurately depicted by or inferred from the tree-like evolution of a core of rarely transferred genes; rather prokaryotic genomes are mosaics in which different parts have different evolutionary histories. Probability mapping is a valuable tool to explore the mosaic nature of genomes.

Journal Article↗

PubMed2003

High accuracy genotyping directly from genomic DNA using a rolling circle amplification based assay.

BACKGROUND: Rolling circle amplification of ligated probes is a simple and sensitive means for genotyping directly from genomic DNA. SNPs and mutations are interrogated with open circle probes (OCP) that can be circularized by DNA ligase when the probe matches the genotype. An amplified detection signal is generated by exponential rolling circle amplification (ERCA) of the circularized probe. The low cost and scalability of ligation/ERCA genotyping makes it ideally suited for automated, high throughput methods. RESULTS: A retrospective study using human genomic DNA samples of known genotype was performed for four different clinically relevant mutations: Factor V Leiden, Factor II prothrombin, and two hemochromatosis mutations, C282Y and H63D. Greater than 99% accuracy was obtained genotyping genomic DNA samples from hundreds of different individuals. The combined process of ligation/ERCA was performed in a single tube and produced fluorescent signal directly from genomic DNA in less than an hour. In each assay, the probes for both normal and mutant alleles were combined in a single reaction. Multiple ERCA primers combined with a quenched-peptide nucleic acid (Q-PNA) fluorescent detection system greatly accellerated the appearance of signal. Probes designed with hairpin structures reduced misamplification. Genotyping accuracy was identical from either purified genomic DNA or genomic DNA generated using whole genome amplification (WGA). Fluorescent signal output was measured in real time and as an end point. CONCLUSIONS: Combining the optimal elements for ligation/ERCA genotyping has resulted in a highly accurate single tube assay for genotyping directly from genomic DNA samples. Accuracy exceeded 99 % for four probe sets targeting clinically relevant mutations. No genotypes were called incorrectly using either genomic DNA or whole genome amplified sample.

Chromosomes, Human, Pair 6↗

PubMed2006

The complete sequences and gene organisation of the mitochondrial genomes of the heterodont bivalves Acanthocardia tuberculata and Hiatella arctica--and the first record for a putative Atpase subunit 8 gene in marine bivalves.

BACKGROUND: Mitochondrial (mt) gene arrangement is highly variable among molluscs and especially among bivalves. Of the 30 complete molluscan mt-genomes published to date, only one is of a heterodont bivalve, although this is the most diverse taxon in terms of species numbers. We determined the complete sequence of the mitochondrial genomes of Acanthocardia tuberculata and Hiatella arctica, (Mollusca, Bivalvia, Heterodonta) and describe their gene contents and genome organisations to assess the variability of these features among the Bivalvia and their value for phylogenetic inference. RESULTS: The size of the mt-genome in Acanthocardia tuberculata is 16.104 basepairs (bp), and in Hiatella arctica 18.244 bp. The Acanthocardia mt-genome contains 12 of the typical protein coding genes, lacking the Atpase subunit 8 (atp8) gene, as all published marine bivalves. In contrast, a complete atp8 gene is present in Hiatella arctica. In addition, we found a putative truncated atp8 gene when re-annotating the mt-genome of Venerupis philippinarum. Both mt-genomes reported here encode all genes on the same strand and have an additional trnM. In Acanthocardia several large non-coding regions are present. One of these contains 3.5 nearly identical copies of a 167 bp motive. In Hiatella, the 3' end of the NADH dehydrogenase subunit (nad)6 gene is duplicated together with the adjacent non-coding region. The gene arrangement of Hiatella is markedly different from all other known molluscan mt-genomes, that of Acanthocardia shows few identities with the Venerupis philippinarum. Phylogenetic analyses on amino acid and nucleotide levels robustly support the Heterodonta and the sister group relationship of Acanthocardia and Venerupis. Monophyletic Bivalvia are resolved only by a Bayesian inference of the nucleotide data set. In all other analyses the two unionid species, being to only ones with genes located on both strands, do not group with the remaining bivalves. CONCLUSION: The two mt-genomes reported here add to and underline the high variability of gene order and presence of duplications in bivalve and molluscan taxa. Some genomic traits like the loss of the atp8 gene or the encoding of all genes on the same strand are homoplastic among the Bivalvia. These characters, gene order, and the nucleotide sequence data show considerable potential of resolving phylogenetic patterns at lower taxonomic levels.

Journal Article↗

PubMed2003

Two-dimensional DNA displays for comparisons of bacterial genomes.

We have developed two whole genome-scanning techniques to aid in the discovery of polymorphisms as well as horizontally acquired genes in prokaryotic organisms. First, two-dimensional bacterial genomic display (2DBGD) was developed using restriction enzyme fragmentation to separate genomic DNA based on size, and then employing denaturing gradient gel electrophoresis (DGGE) in the second dimension to exploit differences in sequence composition. This technique was used to generate high-resolution displays that enable the direct comparison of > 800 genomic fragments simultaneously and can be adapted for the high-throughput comparison of bacterial genomes. 2DBGDs are capable of detecting acquired and altered DNA, however, only in very closely related strains. If used to compare more distantly related strains (e.g. different species within a genus) numerous small changes (i.e. small deletions and point mutations) unrelated to the interesting phenotype, would encumber the comparison of 2DBGDs. For this reason a second method, bacterial comparative genomic hybridization (BCGH), was developed to directly compare bacterial genomes to identify gain or loss of genomic DNA. BCGH relies on performing 2DBGD on a pooled sample of genomic DNA from 2 strains to be compared and subsequently hybridizing the resulting 2DBGD blot separately with DNA from each individual strain. Unique spots (hybridization signals) represent foreign DNA. The identification of novel DNA is easily achieved by excising the DNA from a dried gel followed by subsequent cloning and sequencing. 2DBGD and BCGH thus represent novel high resolution genome scanning techniques for directly identifying altered and/or acquired DNA.

Journal Article↗

PubMed2000

Intergenomic translocations of polyploid oats (genus Avena) revealed by genomic in situ hybridization.

Wild and cultivated hexaploid oats share the same genomes (AACCDD) and display a considerable level of interspecific variation in both plant and chromosome morphology. The GISH was utilized to detect the interspecific genomic compositions in four hexaploid and two tetraploid oats using total genomic DNA of Avena eriantha (a C-genome diploid) as probe. Intergenomic translocations between A/D and C-genome chromosomes were frequently observed in hexaploid and tetraploid species. In the hexaploid, two pairs of A/D genome segments on C-genome chromosome (A/D-C) translocation and four to six pairs of C-genome segments on A/D genome chromosome (C-A/D) translocation were clearly identified whilst the number of A/D-C translocations was constant among species. In the tetraploid A. maroccana (AACC), a pair of A-C and four pairs of C-A translocations were observed. Moreover, the A/D translocation segments on chromosome 5C was detected only in A. byzantina and A. maroccana, whilst A/D-C translocations were observed on the 1C and 7C of A. sativa, A. fatua and A. sterilis. A. byzantina did however also carry the 1C rearrangement. This result shows that A. byzantina has retained a similar genomic constitution to the tetraploid ancestor of hexaploid oats, A. maroccana. Three pairs of A-C translocations were detected only in A. murphyi (AACC), and two pairs of those were the 1C and 7C as well as the three hexaploid species except A. byzantina.

Avena↗

PubMed2003

Widespread bimodal intrachromosomal genomic instability in sporadic breast cancers associated with 13q allelic imbalance.

Genomic instability is thought to underlie tumor progression in solid tumors, such as breast cancer. Although evidence that the hereditary breast cancer genes, BRCA1 and BRCA2, are involved in DNA repair suggests that genomic instability plays an important role in hereditary breast tumorigenesis, genomic instability remains poorly characterized in sporadic breast cancers. Using a DNA fingerprinting technique, inter-(simple sequence repeat) PCR (inter-SSR PCR), the degree of genomic instability was quantified in 47 sporadic breast cancers compared with matched adjacent normal breast tissues. Almost all sporadic breast cancers show significant genomic instability by inter-SSR PCR. The distribution of this instability is bimodal; 57% of the tumors show fewer changes, whereas 43% show striking genomic alterations. Further analysis of two inter-SSR PCR tumor-normal differences revealed a genomic amplification and probable deletion. Thus, inter-SSR PCR can detect chromosomal breakage-related genomic alterations in most sporadic breast cancers. Genomic instability as detected by inter-SSR PCR is not correlated with aneuploidy, suggesting that this technique preferentially detects intrachromosomal alterations. Chromosomal instability in breast cancer can therefore be subdivided into at least two groups: (a) intrachromosomal and (b) gross chromosomal. Allelic imbalance at markers at the 13q13 and retinoblastoma loci (13q) and not at 17q loci was significantly associated with high levels of intrachromosomal instability, suggesting genes at 13q13 and retinoblastoma loci are either selectively targeted or involved in the genesis of genomic instability in sporadic breast cancers.

Adult↗

PubMed2001

The minimal genome paradox.

The concept of a 'minimal genome' has appeared as an attempt to answer the question what the minimum number of genes or minimum amount of DNA to support life is. Since bacteria are cells bearing the smallest genomes, it has been generally accepted that the minimal genome must belong to a bacterial species. Currently the most popular chromosome in studies on a minimal genome belongs to Mycoplasma genitalium, a parasite bacterium whose total genetic material is as small as approximately 580 kb. However, the problem is how we define life, and thus also a minimal genome. M. genitalium is a parasite and requires substances provided by its host. Therefore, if a genome of a parasite can be considered as a minimal genome, why not to consider genomes of bacteriophages? Going further, bacterial plasmids could be considered as minimal genomes. The smallest known DNA region playing the function of the origin of replication, which is sufficient for plasmid survival in natural habitats, is as short as 32 base pairs. However, such a small DNA molecule could not form a circular form and be replicated by cellular enzymes. These facts may lead to an ostensibly paradoxical conclusion that the size of a minimal genome is restricted by the physical size of a DNA molecule able to replicate rather, than by the amount of genetic information.

Journal Article↗

PubMed1986

[2 types of molecular structure (composition) of a genome in one species of transposable bacteriophages of Pseudomonas aeruginosa].

Comparison of heteroduplexes (HD) between DNAs of different transposable phages of Pseudomonas aeruginosa belonging to two previously described subgroups (D3112 and B3) revealed two types of structure (composition) of the bacteriophages, designated "type A" and "type B". The properties of genome structure of type A (phages of D3112 subgroup) are as follows: high level of conservation (up to 70% of genomes of different phages are represented as blocks of homologous DNA sequences); substitutions in genomes revealed as nonhomology regions in HD are, as a rule, small and located in certain sites; the distribution of the nonhomologous regions in HD of these phages is highly reproducible in independent experiments. Bacteriophages of subgroup B3 have genomes of type B: only a small part (approx. 30%) of genomes retain homology general for all of the phages; the nonhomologous regions are distributed in a large number of sites in HD; the sizes of nonhomologous regions are substantially larger than for the phages of subgroup D3112; distribution of the regions in HD is highly variable, which is characteristic of DNAs with partial homology. There is no difference between genomes of types A and B in G + C content (approx. 61-63%). Viable recombinants can be formed in crosses between phages of different genome types not only in regions with earlier revealed large DNA/DNA homology (right ends of genomes), but also in central portions of the genomes. Nevertheless, functional incompatibility of some regions of phage genomes of types A and B was demonstrated.

Bacteriophages↗

PubMed2026

Genomic Characterization of Influenza B Victoria Lineage Viruses Circulating in Saudi Arabia During the 2024-2025 Season.

Influenza B viruses contribute substantially to global morbidity and mortality, yet genomic data from the Middle East remain limited. We retrospectively performed whole-genome sequencing of six influenza B virus-positive residual nasopharyngeal specimens collected at King Abdulaziz Medical City, Riyadh, during the 2024-2025 season, including one fatal pediatric case, and described their genomic features alongside clinical outcomes. All six genomes belonged to the B/Victoria lineage and clustered within V1A.3a.2-derived subclades circulating globally during 2024-2025. Five genomes, including the fatal pediatric case, were assigned to subclade C.5.6, whereas one non-fatal case belonged to C.5.7. The Saudi sequences were interspersed among contemporaneous reference strains from Europe, Asia, and North America, without evidence of a distinct local lineage. The fatal isolate did not occupy a distinct phylogenetic position and contained none of the screened virulence-associated markers, including the neuraminidase N342K substitution. These genomes provide regional surveillance data from an underrepresented setting. Given the small sample size and inclusion of a single fatal case, the findings are descriptive and do not permit inference regarding genomic determinants of disease severity. Larger studies integrating viral genomic, clinical, and host data are needed.

Humans↗

PubMed1999

Variations of the mononucleotide and short oligonucleotide distributions in the genomes of various organisms.

We calculated the variation coefficients of the mononucleotide and short oligonucleotide distributions in over 1700 long genomic sequences originating from six organisms to demonstrate that the human and Escherichia coli genomic sequences were the least and the most uniform, respectively. The most non-random genomic distributions were exhibited by the four canonical nucleotides, followed by the strong and weak nucleotides, while the distributions of purine or pyrimidine nucleotides and especially the distributions of (A+C) and (G+T) were significantly more uniform even in the human genome. In the human and mouse genomes, the highest coefficients of variation were further observed with the oligonucleotides where CG was combined with the strong nucleotides while its combination with the weak nucleotides significantly decreased the variation which, however, was still very high. High variation was also exhibited by the remaining oligonucleotides composed exclusively of the strong nucleotides or those containing only weak nucleotides. On the other hand, the distributions of oligonucleotides containing similar and especially the same numbers of the strong and weak nucleotides, but no CG or TA dinucleotide, were the most uniform. The information following from the present analysis will be useful not only in the identification of important genomic regions but also in computer simulations of the genomic nucleotide sequences in order to trace and reproduce the pathways of genome evolution.

Animals↗

PubMed1999

Correlations and anticorrelations among nucleotide distributions along the genomes of various organisms.

We have analyzed correlations of nucleotide distributions along more than 50 megabases of the longest sequenced parts of the human, mouse, Drosophila, Arabidopsis, yeast, E.coli and three kinds of viral genomes. The strongest correlations were observed between the distributions of C and G, in particular in the genome of Drosophila. This correlation was much weaker, though still strong, in the human genome and E.coli that exhibited the same level of this correlation. The C/G correlation hardly originates from the isochores because the isochores were not reported to occur in the genomes of Drosophila and E. coil. The genomic distribution curves of adenine and thymine were also positively correlated in all analyzed organisms except for the yeast where they were anticorrelated. Still stronger anticorrelations were, however, observed between the genomic distributions of A and C and between G and T. These genomic distributions anticorrelated almost generally and very strong. These anticorrelations are likely to originate from point mutations resulting from unrepaired GA mispairing as a replication intermediate. The C/A or G/T anticorrelation or compensation is a very strong and general new phenomenon that shapes the genomic nucleotide sequences.

Animals↗

PubMed2025

Assembling genomes of non-model plants: A case study with evolutionary insights from Ranunculus (Ranunculaceae).

Whereas genome sequencing and assembly technologies are improving, cost can still be prohibitive for plant species with large, complex genomes. As a consequence, genomics work on some taxa in evolutionarily pivotal positions in the vascular plant tree of life has been hampered. The species-rich genus Ranunculus (Ranunculaceae) is an important angiosperm group for the study of polyploidy, apomixis, and reticulate evolution. However, neither mitochondrial nor high-quality nuclear genome sequences are available. This limits phylogenomic, functional, and taxonomic analyses thus far. Here, we tested Illumina short-read, Oxford Nanopore Technology (ONT) and PacBio (HiFi) long-read, and hybrid-read assembly strategies. We sequenced the diploid progenitor species R. cassubicifolius (R. auricomus species complex) and selected the best assemblies in terms of completeness, contiguity, and quality scores. We first assembled the plastome (156 kbp, 85 genes) and mitogenome (1.18 Mbp, 40 genes) sequences using Illumina and Illumina-PacBio-hybrid strategies, respectively. We also present an updated plastome and the first mitogenome phylogeny of Ranunculaceae, including studies of gene loss (e.g., infA, ycf15, or rps) with evolutionary implications. For the nuclear genome sequence, we favored a PacBio-based assembly polished three times with filtered short reads and subsequently scaffolded into eight pseudochromosomes by chromatin conformation data (Hi-C). We obtained a haploid genome sequence of 2.69 Gbp, with 94.1% complete BUSCO genes found and 35 482 annotated genes, and inferred ancient gene duplications compared to existing Ranunculales genomes. The genomic information presented here will enable advanced evolutionary-functional analyses for the species complex, but also for the genus and beyond Ranunculaceae.

Ranunculus↗

PubMed1997

Strategies for whole microbial genome sequencing and analysis.

The introduction of methods for automated DNA sequence analysis nearly a decade ago, together with more recent advances in the field of bioinformatics, have revolutionized biology and medicine and have ushered in a new era of genomic science, the study of genes and genomes. These new technologies have had an impact on many areas of research, including the association between genes and disease, in DNA-based diagnostics, and in the sequencing of genomes from human and other model organisms. The demonstration in 1995, that automated DNA sequencing methods could be used to decipher the entire genome sequence of a free-living organism, Haemophilus influenzae, was a milestone in both the genomics and microbial fields [1]. Since the first report of the complete sequence of H. influenzae, these methodologies have been adopted by laboratories around the world. The complete genomic sequence of five eubacterial species [1-5], one archaea [6], and the eukaryote, Saccharomyces cerevisiae [7], have been reported in the last 18 months. At the beginning of 1997 more than a dozen microbial genome projects are at or near completion, with many others in progress. It is likely that in the next few years we will see the complete sequence of perhaps as many as 30-40 microbial genomes. In this article, we will review methods for whole genome sequencing and analysis and examine how this information can be exploited to better understand microbial physiology and evolution.

Base Sequence↗

PubMed2006

Finding the genes underlying adaptation to hypoxia using genomic scans for genetic adaptation and admixture mapping.

The complete sequencing the human genome and recent analytical advances have provided the opportunity to perform genome-wide studies of human variation. There is substantial potential for such population-genomic approaches to assist efforts to uncover the historical and demographic histories of human populations. Additionally, these genome-wide datasets allow for investigations of variability among genomic regions. Although all genomic regions in a population have experienced the same demographic events, they have not been affected by these events in precisely the same way. Much of the variability among genomic regions is simply the result of genetic drift (i.e., gene frequency changes resulting from the effects of small breeding-population size), but some is also the result of genetic adaptation, which will only affect the gene under selection and nearby regions. We have used a new DNA typing assay that allows for the genotyping of thousands of SNPs on hundreds of samples to identify regions most likely to have been affected by genetic adaptation. Populations that have inhabited different niches (e.g., high-altitude regions) can be used to identify genes underlying the physiological differences. We have used two methods (admixture mapping and genome scans for genetic adaptation) founded on the population-genomic paradigms to search for genes underlying population differences in response to chronic hypoxia. There is great promise that together these methods will facilitate the discovery of genes influencing hypoxic response.

Alleles↗

PubMed2004

Structural and functional analysis of rice genome.

Rice is an excellent system for plant genomics as it represents a modest size genome of 430 Mb. It feeds more than half the population of the world. Draft sequences of the rice genome, derived by whole-genome shotgun approach at relatively low coverage (4-6 X), were published and the International Rice Genome Sequencing Project (IRGSP) declared high quality (>10 X), genetically anchored, phase 2 level sequence in 2002. In addition, phase 3 level finished sequence of chromosomes 1, 4 and 10 (out of 12 chromosomes of rice) has already been reported by scientists from IRGSP consortium. Various estimates of genes in rice place the number at >50,000. Already, over 28,000 full-length cDNAs have been sequenced, most of which map to genetically anchored genome sequence. Such information is very useful in revealing novel features of macro- and micro-level synteny of rice genome with other cereals. Microarray analysis is unraveling the identity of rice genes expressing in temporal and spatial manner and should help target candidate genes useful for improving traits of agronomic importance. Simultaneously, functional analysis of rice genome has been initiated by marker-based characterization of useful genes and employing functional knock-outs created by mutation or gene tagging. Integration of this enormous information is expected to catalyze tremendous activity on basic and applied aspects of rice genomics.

Chromosomes, Plant↗