Waiting for the working draft from the human genome project. A huge achievement, but not of immediate medical use.
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Genome, Human↗
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Results for “draft genome”
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An intermediate grade of finished genomic sequence suitable for comparative analyses.
Although the cost of generating draft-quality genomic sequence continues to decline, refining that sequence by the process of "sequence finishing" remains expensive. Near-perfect finished sequence is an appropriate goal for the human genome and a small set of reference genomes; however, such a high-quality product cannot be cost-justified for large numbers of additional genomes, at least for the foreseeable future. Here we describe the generation and quality of an intermediate grade of finished genomic sequence (termed comparative-grade finished sequence), which is tailored for use in multispecies sequence comparisons. Our analyses indicate that this sequence is very high quality (with the residual gaps and errors mostly falling within repetitive elements) and reflects 99% of the total sequence. Importantly, comparative-grade sequence finishing requires approximately 40-fold less reagents and approximately 10-fold less personnel effort compared to the generation of near-perfect finished sequence, such as that produced for the human genome. Although applied here to finishing sequence derived from individual bacterial artificial chromosome (BAC) clones, one could envision establishing routines for refining sequences emanating from whole-genome shotgun sequencing projects to a similar quality level. Our experience to date demonstrates that comparative-grade sequence finishing represents a practical and affordable option for sequence refinement en route to comparative analyses.
Animals↗
Genomics annotation. Beyond the first draft.
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Computational Biology↗
Genomics. Genome centers push for polished draft.
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Centromere↗
Human genome. Storm erupts over terms for publishing Celera's sequence.
A dispute has been raging behind the scenes for weeks over the conditions under which Celera Genomics is prepared to make its human genome sequence data publicly available. The argument went public on 6 December, when geneticist Michael Ashburner e-mailed an open letter to Science's board of reviewing editors and members of the press slamming an agreement on data release that Science had reached with Celera as a condition for accepting its paper for review. This spat is the latest round in an intense rivalry between Celera president J. Craig Venter and leaders of the Human Genome Project, a publicly funded consortium that has produced its own draft human genome sequence.
Biotechnology↗
Whole genome sequence of a superbug-Escherichia coli strain KAB-AI-497 isolated from the vagina of a 20 year old pregnant woman with premature rupture of membrane (PROM) in a resource limited setting, Kabale Regional Referral Hospital, in Uganda.
OBJECTIVES: The objective of the study is to sequence the whole genome of multidrug resistant E. coli strain KAB-AI-497 that causes bacterial vaginosis and implicated in premature rupture of membrane in pregnant woman. DATA DESCRIPTION: The DNA of the E. coli strain KAB-AI-497 was extracted using the MagAttract HMW DNA Kit, and the extracted DNA was sequenced using an MGI DNBSEQ G99ARS platform. FastQC was used to perform quality control analysis and the reads were trimmed by Trimmomatic. De novo genome assembly was performed by SPAdes and it resulted to a draft assembled genome that has 5.1 Mb genome size, 153 contigs, and 50.5% GC content. Quality analysis of the assembled genome revealed it has 98.46% completeness and 0.97% contamination. The closest E. coli strain to this strain KAB-AI-497 in terms of similarity was Escherichia coli SMS-3-5 with an average nucleotide identity of 98.43% and genome coverage of 86.19%, which confirmed the species level identity of the strain. The assembled genome was annotated using the NCBI Prokaryotic Genome Annotation Pipeline which identified 4,726 protein coding genes in the strain genome. Furthermore, the annotation revealed the genome has resistant genes responsible for resistance against many antibiotic classes such as tetracycline, fluoroquinolone, and penicillin.
Escherichia coli↗
Genetics of schizophrenia: from animal models to clinical studies.
Genetic epidemiological studies strongly suggest that additive and interactive genes, each with small effects, mediate the genetic vulnerability for schizophrenia. With the human genome working draft at hand, candidate gene (and ultimately large-scale genome-wide) association studies are gaining renewed interest in the effort to unravel the complex genetics of schizophrenia. In the absence of an unequivocally established biological theory for schizophrenia, identifying candidate genes to be tested in an association paradigm remains a challenging task. We maintain that it is possible to use animal models to map genes or loci involved in behavioural traits that are relevant to schizophrenia. The human genes (or syntenic loci) homologous to those identified in mice can subsequently be tested in patients with schizophrenia who have been carefully phenotyped for traits "isomorphic" to the ones modelled in mice. If confirmed in humans, these genes may be further analyzed in the animal model to identify their role and the biological network they are involved in. To tackle the complex and intimidating problem of the genetics of schizophrenia, it may be necessary to go from animal models to human studies and vice versa; this strategy has been proven to be efficient in less complicated, though complex, human diseases.
Animals↗
A bigger mouse? The rat genome unveiled.
Rattus norvegicus is an important experimental organism and interesting to evolutionary biologists. The recently published draft rat genome sequence provides us with insights into both the rat's evolution and its physiology. We learn more about genome evolution and, in particular, the adaptive significance of gene family expansions and the evolution of rodent genomes, which appears to have decelerated since the divergence of mouse and rat. An important observation is that some regions of genomes, many in noncoding regions, show very high sequence conservation, while others show unexpectedly fast evolution. Both of these may be pointers to functional significance.
Animals↗
Genome mining for human cancer genes: wherefore art thou?
In an initial data-mining effort, the draft human genome was searched to find paralogs of known tumor suppressor genes, and for gene arrangements, which are typical of oncogenes, in cancer cells. The results were disappointing, indicating that although knowledge of the human genome will undoubtedly be of great help, other approaches to identify new oncogenes are needed.
Databases, Factual↗
Bioinformatics in microbial biotechnology--a mini review.
The revolutionary growth in the computation speed and memory storage capability has fueled a new era in the analysis of biological data. Hundreds of microbial genomes and many eukaryotic genomes including a cleaner draft of human genome have been sequenced raising the expectation of better control of microorganisms. The goals are as lofty as the development of rational drugs and antimicrobial agents, development of new enhanced bacterial strains for bioremediation and pollution control, development of better and easy to administer vaccines, the development of protein biomarkers for various bacterial diseases, and better understanding of host-bacteria interaction to prevent bacterial infections. In the last decade the development of many new bioinformatics techniques and integrated databases has facilitated the realization of these goals. Current research in bioinformatics can be classified into: (i) genomics--sequencing and comparative study of genomes to identify gene and genome functionality, (ii) proteomics--identification and characterization of protein related properties and reconstruction of metabolic and regulatory pathways, (iii) cell visualization and simulation to study and model cell behavior, and (iv) application to the development of drugs and anti-microbial agents. In this article, we will focus on the techniques and their limitations in genomics and proteomics. Bioinformatics research can be classified under three major approaches: (1) analysis based upon the available experimental wet-lab data, (2) the use of mathematical modeling to derive new information, and (3) an integrated approach that integrates search techniques with mathematical modeling. The major impact of bioinformatics research has been to automate the genome sequencing, automated development of integrated genomics and proteomics databases, automated genome comparisons to identify the genome function, automated derivation of metabolic pathways, gene expression analysis to derive regulatory pathways, the development of statistical techniques, clustering techniques and data mining techniques to derive protein-protein and protein-DNA interactions, and modeling of 3D structure of proteins and 3D docking between proteins and biochemicals for rational drug design, difference analysis between pathogenic and non-pathogenic strains to identify candidate genes for vaccines and anti-microbial agents, and the whole genome comparison to understand the microbial evolution. The development of bioinformatics techniques has enhanced the pace of biological discovery by automated analysis of large number of microbial genomes. We are on the verge of using all this knowledge to understand cellular mechanisms at the systemic level. The developed bioinformatics techniques have potential to facilitate (i) the discovery of causes of diseases, (ii) vaccine and rational drug design, and (iii) improved cost effective agents for bioremediation by pruning out the dead ends. Despite the fast paced global effort, the current analysis is limited by the lack of available gene-functionality from the wet-lab data, the lack of computer algorithms to explore vast amount of data with unknown functionality, limited availability of protein-protein and protein-DNA interactions, and the lack of knowledge of temporal and transient behavior of genes and pathways.
Journal Article↗
Rapid turnover and species-specificity of vomeronasal pheromone receptor genes in mice and rats.
Pheromones are used by individuals of the same species to elicit behavioral or physiological changes, and they are perceived primarily by the vomeronasal organ (VNO) in terrestrial vertebrates. VNO pheromone receptors are encoded by the V1r and V2r gene superfamilies in mammals. A comparison of the V1r and V2r repertoires between closely related species can provide significant insights into the evolutionary genetic mechanisms responsible for species-specific pheromone communications. A total of 137 putatively functional V1r genes of 12 families were previously identified from the mouse genome. We report the identification of 95 putatively functional V1r genes from the draft rat genome sequence. These genes map primarily to four blocks in two chromosomes. The rat V1r genes can be phylogenetically grouped into 10 families, which are shared with mouse, and 2 new families, which are rat-specific. Even in many shared families, gene numbers differ between the two species, apparently due to frequent gene duplication and pseudogenization after the separation of the two species. Molecular dating suggests that most of the rat V1r families emerged before or during the radiation of mammalian orders, but many duplications within families occurred as recently as in the past 10 million years (MY). Our results show that the evolution of the V1r repertoire is characterized by exceptionally fast gene turnover via gains and losses of individual genes, suggesting rapid and substantial changes in pheromone communication between species.
Animals↗
A comprehensive analysis of recently integrated human Ta L1 elements.
The Ta (transcribed, subset a) subfamily of L1 LINEs (long interspersed elements) is characterized by a 3-bp ACA sequence in the 3' untranslated region and contains approximately 520 members in the human genome. Here, we have extracted 468 Ta L1Hs (L1 human specific) elements from the draft human genomic sequence and screened individual elements using polymerase-chain-reaction (PCR) assays to determine their phylogenetic origin and levels of human genomic diversity. One hundred twenty-four of the elements amenable to complete sequence analysis were full length ( approximately 6 kb) and have apparently escaped any 5' truncation. Forty-four of these full-length elements have two intact open reading frames and may be capable of retrotransposition. Sequence analysis of the Ta L1 elements showed a low level of nucleotide divergence with an estimated age of 1.99 million years, suggesting that expansion of the L1 Ta subfamily occurred after the divergence of humans and African apes. A total of 262 Ta L1 elements were screened with PCR-based assays to determine their phylogenetic origin and the level of human genomic variation associated with each element. All of the Ta L1 elements analyzed by PCR were absent from the orthologous positions in nonhuman primate genomes, except for a single element (L1HS72) that was also present in the common (Pan troglodytes) and pygmy (P. paniscus) chimpanzee genomes. Sequence analysis revealed that this single exception is the product of a gene conversion event involving an older preexisting L1 element. One hundred fifteen (45%) of the Ta L1 elements were polymorphic with respect to insertion presence or absence and will serve as identical-by-descent markers for the study of human evolution.
Animals↗
Retroelement distributions in the human genome: variations associated with age and proximity to genes.
Remnants of more than 3 million transposable elements, primarily retroelements, comprise nearly half of the human genome and have generated much speculation concerning their evolutionary significance. We have exploited the draft human genome sequence to examine the distributions of retroelements on a genome-wide scale. Here we show that genomic densities of 10 major classes of human retroelements are distributed differently with respect to surrounding GC content and also show that the oldest elements are preferentially found in regions of lower GC compared with their younger relatives. In addition, we determined whether retroelement densities with respect to genes could be accurately predicted based on surrounding GC content or if genes exert independent effects on the density distributions. This analysis revealed that all classes of long terminal repeat (LTR) retroelements and L1 elements, particularly those in the same orientation as the nearest gene, are significantly underrepresented within genes and older LTR elements are also underrepresented in regions within 5 kb of genes. Thus, LTR elements have been excluded from gene regions, likely because of their potential to affect gene transcription. In contrast, the density of Alu sequences in the proximity of genes is significantly greater than that predicted based on the surrounding GC content. Furthermore, we show that the previously described density shift of Alu repeats with age to domains of higher GC was markedly delayed on the Y chromosome, suggesting that recombination between chromosome pairs greatly facilitates genomic redistributions of retroelements. These findings suggest that retroelements can be removed from the genome, possibly through recombination resulting in re-creation of insert-free alleles. Such a process may provide an explanation for the shifting distributions of retroelements with time.
Alu Elements↗
[Tandem and interspersed repeats contribute to the mosaic structure of segmented duplications in the human genome].
Intrachromosomal and interchromosomal segmental duplications account for more than 5% of the human genome. To analyze the processes resulting in the complex mosaic structure of duplicons, a draft human genome sequence was searched for duplicated segments of a genomic fragment of the pericentric region of the chromosome 21 short arm. The duplicons found consist of modules having paralogs in various genome regions. Module ends are flanked with various tandem or interspersed repeats, which are more unstable as compared with unique sequences. In most cases, the boundaries of duplicated segments exactly coincide with or are in close proximity to hot spots of various rearrangements within repeats or boundaries between repeats and unique sequences or between two different repeats. Homologous recombination between repetitive elements was assumed to be the major mechanism contributing to the mosaic structure of duplicons.
Chromosomes, Human, Pair 21↗
[Analysis, identification and correction of some errors of model refseqs appeared in NCBI Human Gene Database by in silico cloning and experimental verification of novel human genes].
We found that human genome coding regions annotated by computers have different kinds of many errors in public domain through homologous BLAST of our cloned genes in non-redundant (nr) database, including insertions, deletions or mutations of one base pair or a segment in sequences at the cDNA level, or different permutation and combination of these errors. Basically, we use the three means for validating and identifying some errors of the model genes appeared in NCBI GENOME ANNOTATION PROJECT REFSEQS: (I) Evaluating the support degree of human EST clustering and draft human genome BLAST. (2) Preparation of chromosomal mapping of our verified genes and analysis of genomic organization of the genes. All of the exon/intron boundaries should be consistent with the GT/AG rule, and consensuses surrounding the splice boundaries should be found as well. (3) Experimental verification by RT-PCR of the in silico cloning genes and further by cDNA sequencing. And then we use the three means as reference: (1) Web searching or in silico cloning of the genes of different species, especially mouse and rat homologous genes, and thus judging the gene existence by ontology. (2) By using the released genes in public domain as standard, which should be highly homologous to our verified genes, especially the released human genes appeared in NCBI GENOME ANNOTATION PROJECT REFSEQS, we try to clone each a highly homologous complete gene similar to the released genes in public domain according to the strategy we developed in this paper. If we can not get it, our verified gene may be correct and the released gene in public domain may be wrong. (3) To find more evidence, we verified our cloned genes by RT-PCR or hybrid technique. Here we list some errors we found from NCBI GENOME ANNOTATION PROJECT REFSEQs: (1) Insert a base in the ORF by mistake which causes the frame shift of the coding amino acid. In detail, abase in the ORF of a gene is a redundant insertion, which causes a reading frame shift in the translation of an alternative protein, such as LOC124919 is wrong form of C17 orf32 (with mouse and rat orthologs determined by us). (2) Put together by mistake (with force). This is a wrong assembly of non-relating cDNA segment, such as LOC147007 is wrong form of C17orf32. (3) Mistakenly insert a base or one section of cDNA in the ORF which causes it ending beforehand, only coding cDNA sequence of N-terminal amino acids, incomplete. For example, LOC123722 is wrong form of SPRYD1, and even the human hypothetical gene LOC126250 or PDCD5 is wrong form of our PDCD5 (TFAR19). (4) Incomplete, only coding cDNA sequence of C-terminal amino acids. For example, human LOC149076 and mouse LOC230761 are wrong form of our verified human ZNF362 and mouse Zfp362, respectively. (5) Incomplete, only coding one section of coding protein cDNA sequence of correct gene ORF, lacking N-terminal and C-terminal amino acids sequence, and at the same time, mistakenly anticipates the first non-initiation codon amino acid of the incomplete protein amino acid as the initiation codon, e.g. anticipating L as M. For example, LOC200084 is wrong form of ZNF362. (6) Mistakenly insert a base or one section of cDNA in the ORF, wrongly causing unwanted termination codon before the insertion, so the coding protein lacks the first part of the amino acids. For example, the GenBank Acc. No. AL096883 ( LOCUS No. HS323M22B) is wrong form of an experimentally verified human NM_012263 with mouse ortholog of BC010510 determined. (7) It may regard the polluted genomic sequence as complete gene cDNA sequence and anticipate the so-called single exon gene, even the real one, only a small ORF in the very long single exon mRNA, while there really exists termination code in the same phase of the upper part of the ORF initiation code, no other characters accord with the gene's condition. For example, LOC91126 is wrong form of ZNF362. (8) The anticipated genes only have ORF which has no EST proofs on both terminal sides. Depending on this ORF, a complete gene cDNA with double support of EST and human genome (there are termination codes at the same phase of the upper part of ORF) which indicates the anticipated ORF reference sequence may be incorrect. For example, LOC164395 may be wrong form of novel human gene bankit4590055. (9) A similar but smaller protein-coding gene is anticipated in the range of the human genome sequence that has the support of EST experimental proof, so other new anticipated gene may be incorrect. For example, LOC167563 may be wrong form of CMYA5. However,these errors can be corrected or avoided by using our strategy. Here we give one example in detail: Comparision of the sequence SPRYD1 with human hypothetical gene LOC123722. The TAA bases in the position of 478-480 in LOC123722 cDNA is redundant, which causes a reading frame shift in the translation of an alternative protein. The redundancy of GTAAA of LOC123722 is not supported by our experimental clone,and is almost fully rejected by human EST alignment, and is shown as the next intron sequence by genomic GT/AG organization analysis. The verification of cDNA or genomic DNA sequence of SPRYD1 implies that LOC123722 has a wrong stop codon within its ORF because of the prediction program, thus being not complete cds. To sum up, by combining bioinformatics analyses with experimental verification, we have found that there are many errors of at least nine kinds appeared in NCBI GENOME ANNOTATION PROJECT REFSEQs through BLAST of our cloned genes in non-redundant database, and our strategy is helpful in correcting them, such as LOC14907, LOC200084 and LOC91126 (all of them should be ZNF362, but are three different kinds of wrong forms of ZNF362), three model reference sequences predicted from NCBI contig NT_004511 by automated computational analysis using gene prediction method, or such as LOC124919 and LOC147007 (both should be C17orf32, but are two different kinds of wrong forms of C17orf32), two model reference sequences predicted from NCBI contig NT_010808 by automated computational analysis using gene prediction method. Therefore, the correct identification and annotation of novel human genes may be still a heavy task, which can be finished within a long period of time. So human genome coding regions annotated by computer should be used with caution. The articles published in the past did not clearly point out the existence of mistakes in the NCBI human gene mode reference sequence. At the Seventh International Human Genome Conference held in April 2002, we first published the researching result on this aspect in the communication form of Posterly insert a base or one section of cDNA in the ORF, wrongly causing unwanted termination codon before the insertion, so the coding protein lacks the first part of the amino acids. For example, the GenBank Acc. No. AL096883 ( LOCUS No. HS323M22B) is wrong form of an experimentally verified human NM_012263 with mouse ortholog of BC010510 determined. (7) It may regard the polluted genomic sequence as complete gene cDNA sequence and anticipate the so-called single exon gene, even the real one, only a small ORF in the very long single exon mRNA, while there really exists termination code in the same phase of the upper part of the ORF initiation code, no other characters accord with the gene's condition. For example, LOC91126 is wrong form of ZNF362. (8) The anticipated genes only have ORF which has no EST proofs on both terminal sides. Depending on this ORF, a complete gene cDNA with double support of EST and human genome (there are termination codes at the same phase of the upper part of ORF) which indicates the anticipated ORF reference sequence may be incorrect. For example, LOC164395 may be wrong form of novel human gene bankit4590055. (9) A similar but smaller protein-coding gene is anticipated in the range of the human genome sequence that has the support of EST experimental proof, so other new anticipated gene may be incorrect. For example, LOC167563 may be wrong form of CMYA5. However, these errors can be corrected or avoided by using our strategy. Here we give one example in detail: Comparision of the sequence SPRYD1 with human hypothetical gene LOC123722. The TAA bases in the position of 478-480 in LOC123722 cDNA is redundant, which causes a reading frame shift in the translation of an alternative protein. The redundancy of GTAAA of LOC123722 is not supported by our experimental clone, and is almost fully rejected by human EST alignment, and is shown as the next intron sequence by genomic GT/AG organization analysis. The verification of cDNA or genomic DNA sequence of SPRYD1 implies that LOC123722 has a wrong stop codon within its ORF because of the prediction program, thus being not complete cds. To sum up, by combining bioinformatics analyses with experimental verification, we have found that there are many errors of at least nine kinds appeared in NCBI GENOME ANNOTATION PROJECT REFSEQs through BLAST of our cloned genes in non-redundant database, and our strategy is helpful in correcting them, such as LOC14907, LOC200084 and LOC91126 (all of them should be ZNF362, but are three different kinds of wrong forms of ZNF362), three model reference sequences predicted from NCBI contig NT_004511 by automated computational analysis using gene prediction method, or such as LOC124919 and LOC147007 (both should be C17orf32, but are two different kinds of wrong forms of C17orf32), two model reference sequences predicted from NCBI contig NT_010808 by automated computational analysis using gene prediction method. Therefore, the correct identification and annotation of novel human genes may be still a heavy task, which can be finished within a long period of time. So human genome coding regions annotated by computer should be used with caution. (ABSTRACT TRUNCATED)
Amino Acid Sequence↗
Universal declaration on the human genome and human rights (revised draft).
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Developing Countries↗
Comparative genomics of nematodes.
Recent transcriptome and genome projects have dramatically expanded the biological data available across the phylum Nematoda. Here we summarize analyses of these sequences, which have revealed multiple unexpected results. Despite a uniform body plan, nematodes are more diverse at the molecular level than was previously recognized, with many species- and group-specific novel genes. In the genus Caenorhabditis, changes in chromosome arrangement, particularly local inversions, are also rapid, with breakpoints occurring at 50-fold the rate in vertebrates. Tylenchid plant parasitic nematode genomes contain several genes closely related to genes in bacteria, implicating horizontal gene transfer events in the origins of plant parasitism. Functional genomics techniques are also moving from Caenorhabditis elegans to application throughout the phylum. Soon, eight more draft nematode genome sequences will be available. This unique resource will underpin both molecular understanding of these most abundant metazoan organisms and aid in the examination of the dynamics of genome evolution in animals.
Animals↗
Engineering a reduced Escherichia coli genome.
Our goal is to construct an improved Escherichia coli to serve both as a better model organism and as a more useful technological tool for genome science. We developed techniques for precise genomic surgery and applied them to deleting the largest K-islands of E. coli, identified by comparative genomics as recent horizontal acquisitions to the genome. They are loaded with cryptic prophages, transposons, damaged genes, and genes of unknown function. Our method leaves no scars or markers behind and can be applied sequentially. Twelve K-islands were successfully deleted, resulting in an 8.1% reduced genome size, a 9.3% reduction of gene count, and elimination of 24 of the 44 transposable elements of E. coli. These are particularly detrimental because they can mutagenize the genome or transpose into clones being propagated for sequencing, as happened in 18 places of the draft human genome sequence. We found no change in the growth rate on minimal medium, confirming the nonessential nature of these islands. This demonstration of feasibility opens the way for constructing a maximally reduced strain, which will provide a clean background for functional genomics studies, a more efficient background for use in biotechnology applications, and a unique tool for studies of genome stability and evolution.
Chromosome Deletion↗