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Comparative genomics tools applied to bioterrorism defence.

Rapid advances in the genomic sequencing of bacteria and viruses over the past few years have made it possible to consider sequencing the genomes of all pathogens that affect humans and the crops and livestock upon which our lives depend. Recent events make it imperative that full genome sequencing be accomplished as soon as possible for pathogens that could be used as weapons of mass destruction or disruption. This sequence information must be exploited to provide rapid and accurate diagnostics to identify pathogens and distinguish them from harmless near-neighbours and hoaxes. The Chem-Bio Non-Proliferation (CBNP) programme of the US Department of Energy (DOE) began a large-scale effort of pathogen detection in early 2000 when it was announced that the DOE would be providing bio-security at the 2002 Winter Olympic Games in Salt Lake City, Utah. Our team at the Lawrence Livermore National Lab (LLNL) was given the task of developing reliable and validated assays for a number of the most likely bioterrorist agents. The short timeline led us to devise a novel system that utilised whole-genome comparison methods to rapidly focus on parts of the pathogen genomes that had a high probability of being unique. Assays developed with this approach have been validated by the Centers for Disease Control (CDC). They were used at the 2002 Winter Olympics, have entered the public health system, and have been in continual use for non-publicised aspects of homeland defence since autumn 2001. Assays have been developed for all major threat list agents for which adequate genomic sequence is available, as well as for other pathogens requested by various government agencies. Collaborations with comparative genomics algorithm developers have enabled our LLNL team to make major advances in pathogen detection, since many of the existing tools simply did not scale well enough to be of practical use for this application. It is hoped that a discussion of a real-life practical application of comparative genomics algorithms may help spur algorithm developers to tackle some of the many remaining problems that need to be addressed. Solutions to these problems will advance a wide range of biological disciplines, only one of which is pathogen detection. For example, exploration in evolution and phylogenetics, annotating gene coding regions, predicting and understanding gene function and regulation, and untangling gene networks all rely on tools for aligning multiple sequences, detecting gene rearrangements and duplications, and visualising genomic data. Two key problems currently needing improved solutions are: (1) aligning incomplete, fragmentary sequence (eg draft genome contigs or arbitrary genome regions) with both complete genomes and other fragmentary sequences; and (2) ordering, aligning and visualising non-colinear gene rearrangements and inversions in addition to the colinear alignments handled by current tools.

Amino Acid Sequence↗

EGassembler: online bioinformatics service for large-scale processing, clustering and assembling ESTs and genomic DNA fragments.

Expressed sequence tag (EST) sequencing has proven to be an economically feasible alternative for gene discovery in species lacking a draft genome sequence. Ongoing large-scale EST sequencing projects feel the need for bioinformatics tools to facilitate uniform EST handling. This brings about a renewed importance for a universal tool for processing and functional annotation of large sets of ESTs. EGassembler (http://egassembler.hgc.jp/) is a web server, which provides an automated as well as a user-customized analysis tool for cleaning, repeat masking, vector trimming, organelle masking, clustering and assembling of ESTs and genomic fragments. The web server is publicly available and provides the community a unique all-in-one online application web service for large-scale ESTs and genomic DNA clustering and assembling. Running on a Sun Fire 15K supercomputer, a significantly large volume of data can be processed in a short period of time. The results can be used to functionally annotate genes, to facilitate splice alignment analysis, to link the transcripts to genetic and physical maps, design microarray chips, to perform transcriptome analysis and to map to KEGG metabolic pathways. The service provides an excellent bioinformatics tool to research groups in wet-lab as well as an all-in-one-tool for sequence handling to bioinformatics researchers.

Computational Biology↗

Behavioral genomics of honeybee foraging and nest defense.

The honeybee has been the most important insect species for study of social behavior. The recently released draft genomic sequence for the bee will accelerate honeybee behavioral genetics. Although we lack sufficient tools to manipulate this genome easily, quantitative trait loci (QTLs) that influence natural variation in behavior have been identified and tested for their effects on correlated behavioral traits. We review what is known about the genetics and physiology of two behavioral traits in honeybees, foraging specialization (pollen versus nectar), and defensive behavior, and present evidence that map-based cloning of genes is more feasible in the bee than in other metazoans. We also present bioinformatic analyses of candidate genes within QTL confidence intervals (CIs). The high recombination rate of the bee made it possible to narrow the search to regions containing only 17-61 predicted peptides for each QTL, although CIs covered large genetic distances. Knowledge of correlated behavioral traits, comparative bioinformatics, and expression assays facilitated evaluation of candidate genes. An overrepresentation of genes involved in ovarian development and insulin-like signaling components within pollen foraging QTL regions suggests that an ancestral reproductive gene network was co-opted during the evolution of foraging specialization. The major QTL influencing defensive/aggressive behavior contains orthologs of genes involved in central nervous system activity and neurogenesis. Candidates at the other two defensive-behavior QTLs include modulators of sensory signaling (Am5HT(7) serotonin receptor, AmArr4 arrestin, and GABA-B-R1 receptor). These studies are the first step in linking natural variation in honeybee social behavior to the identification of underlying genes.

Animals↗

Identification of a fatty acid Delta11-desaturase from the microalga Thalassiosira pseudonana.

A set of genomic DNA sequences putatively encoding front-end desaturases were identified by in silico analysis of the draft genome of the marine microalga Thalassiosira pseudonana. Among these candidate genes, an open reading frame named TpdesN was found to be full-length, intronless, and constitutively expressed during cell cultivation. The predicted amino acid sequence of the corresponding protein, TpDESN, exhibited typical features of desaturases involved in the production of polyunsaturated fatty acids (PUFAs) in algae, i.e. a cytochrome b5-like domain at the N-terminus and three conserved histidine-rich motifs in the desaturase domain. Expression of TpDESN in Saccharomyces cerevisiae revealed that this enzyme was not involved in PUFA synthesis, but specifically desaturated palmitic acid 16:0 to 16:1Delta11. To our knowledge, until this report, Delta11-desaturase activity had only been detected in insect cells.

Amino Acid Motifs↗

Lessons from the human genome: transitions between euchromatin and heterochromatin.

The publication of the human genome draft sequence provides, for the first time, a global view of the structural properties of the human genome. Initial sequence analysis, in combination with previous published reports, reveals that more than half of the transition regions between euchromatin and centromeric heterochromatin contain duplicated segments. The individual duplications originate from diverse euchromatic regions of the human genome, often containing intron-exon structure of known genes. Multiple duplicons are concatenated together to form larger blocks of wall-to-wall duplications. For a single chromosome, these paralogous segments can span >1 Mb of sequence and define a buffer zone between unique sequence and tandemly repeated satellite sequences. Unusual pericentromeric interspersed repeat elements have been identified at the junctions of many of these duplications. Phylogenetic and comparative studies of pericentromeric sequences suggest that this peculiar genome organization has emerged within the last 30 million years of human evolution and is a source of considerable genomic variation between closely related primate species. Interestingly, not all human pericentromeric regions show this proclivity to duplicate and transpose genomic sequence, suggesting at least two different models for the organization of these regions.

Euchromatin↗

Genome sequences of four bacterial strains isolated from the phyllosphere of Mangifera indica trees in the polluted tropical city of Medellín, Colombia.

Complete and draft genome sequences of four phyllosphere-associated bacterial strains (Microbacterium radiodurans, Brachybacterium rhamnosum, Sphingomonas citri, and Curtobacterium sp.) isolated from Mangifera indica leaves in polluted Medellín, Colombia, are presented. These resources enable future studies on plant-microbe interactions and phyllosphere microbial mediation of atmospheric pollutants under urban stress.

Mangifera indica↗

The genome of the polyextremophilic yeast, Naganishia friedmannii, reveals adaptations involved in stress response pathways, carbohydrate metabolism expansion, and a limited DNA repair repertoire.

Here we report the draft genome sequence of Naganishia friedmannii (formerly Cryptococcus friedmannii) isolate, a Basidiomycota yeast commonly found in some of the most extreme environments of the Earth's cryosphere. We isolated N. friedmannii strain Llullensis from soils at 6000 m above sea level on Volcán Llullaillaco, Argentina. The genome was 22.2 Mb with 6251 identified protein coding genes. Proteins known to be associated with thermal, osmotic, and radiation stress were identified in the genome. Comparative analysis with seven other Naganishia genomes revealed unique features underlying its polyextremophilic lifestyle. Naganishia friedmannii showed an expansion of genes involved in breaking down plant-derived carbohydrates, supporting the hypothesis that it survives at high elevations by metabolizing wind-deposited organic matter. Surprisingly, many genes involved in cell-cycle checkpoints and DNA repair were missing, as in several other Naganishia species. This extensive loss may be adaptive in extreme environments prone to abiotic stress, where a high mutation rate could generate advantageous traits, and reduced cell-cycle control may allow for faster reproduction that would be advantageous for rapid growth during brief periods of soil wetting following rare snow events.

Carbohydrate Metabolism↗

VMD: a community annotation database for oomycetes and microbial genomes.

The VBI Microbial Database (VMD) is a database system designed to host a range of microbial genome sequences. At present, the database contains genome sequence and annotation data of two plant pathogens Phytophthora sojae and Phytophthora ramorum. With the completion of the draft genome sequences of these pathogens in collaboration with the DOE Joint Genome Institute (JGI), we have created this resource to make the sequences publicly available. The genome sequences (95 MB for P.sojae and 65 MB for P.ramorum) were annotated with approximately 19,000 and approximately 16,000 gene models, respectively. We used two different statistical methods to validate these gene models, Fickett's and a log-likelihood method. Functional annotation of the gene models is based on results from BlastX and InterProScan screens. From the InterProScan results, we could assign putative functions to 17,694 genes in P.sojae and 14,700 genes in P.ramorum. We created an easy-to-use genome browser to view the genome sequence data, which opens to detailed annotation pages for each gene model. A community annotation interface is available for registered community members to add or edit annotations. There are approximately 1600 gene models for P.sojae and approximately 700 models for P.ramorum that have already been manually curated. A toolkit is provided as an additional resource for users to perform a variety of sequence analysis jobs. The database is publicly available at http://phytophthora.vbi.vt.edu/.

Databases, Nucleic Acid↗

Nuclear single-copy orthologous genes as phylogenomic markers for resolving the closely related firefly genera Pteroptyx, Medeopteryx, and Trisinuata (Coleoptera: Lampyridae: Luciolinae).

Fireflies (Lampyridae) are bioluminescent beetles with broad ecological roles across temperate and tropical ecosystems, occupying diverse habitats including forests, wetlands, grasslands, mangroves, and riverine systems. The subfamily Luciolinae is primarily distributed across Asia and the Indo-Pacific. Phylogenetic relationships among three closely related Luciolinae genera - Medeopteryx, Pteroptyx, and Trisinuata - remain unresolved using mitochondrial genome data alone. This study used nuclear genome data to resolve relationships among these genera and identify a lighter-weight nuclear marker panel for expanding taxon sampling. Draft genomes were reconstructed for fifteen firefly species, eight from the focal genera, and analyzed with five published firefly genomes. Using BUSCO and OrthoFinder, 1,011 nuclear single-copy orthologs (SCOs) were identified for phylogenomic inference. Discordance between concatenation- and coalescence-based phylogenies indicated incomplete lineage sorting (ILS). The coalescence-based phylogeny recoveredPteroptyxas monophyletic and sister to a (Medeopteryx,Trisinuata) clade, with Trisinuata nested within a non-monophyletic Medeopteryx; however, quartet support at the base of Pteroptyx, particularly at Pt. valida, was low.Filtering for compositional homogeneity, clock-likeness, and species-tree concordance yielded 103 SCOs with a significantly higher proportion of parsimony-informative sites than non-selected loci, retaining the backbone topology with higher gene concordance support at scored clades, while ILS-driven discordance at Pt. valida persists - confirming that the reduced panel retains phylogenetic resolving power for future taxon sampling. These findings demonstrate a practical framework for using nuclear SCOs to resolve close phylogenetic relationships within Luciolinae. Future work should expand taxon sampling - especially forTrisinuata - alongside long-read assemblies, for a more robust phylogenomic framework.

Fireflies↗

Fugu and human sequence comparison identifies novel human genes and conserved non-coding sequences.

The compact genome of the pufferfish, Fugu rubripes, has been proposed as a 'reference' genome to aid in annotating and analysing the human genome. We have annotated and compared 85 kb of Fugu sequence containing 17 genes with its homologous loci in the human draft genome and identified three 'novel' human genes that were missed or incompletely predicted by the previous gene prediction methods. Two of the novel genes contain zinc finger domains and are designated ZNF366 and ZNF367. They map to human chromosomes 5q13.2 and 9q22.32, respectively. The third novel gene, designated C9orf21, maps to chromosome 9q22.32. This gene is unique to vertebrates, and the protein encoded by it does not contain any known domains. We could not find human homologs for two Fugu genes, a novel chemokine gene and a kinase gene. These genes are either specific to teleosts or lost in the human lineage. The Fugu-human comparison identified several conserved non-coding sequences in the promoter and intronic regions. These sequences, conserved during 450 million years of vertebrate evolution, are likely to be involved in gene regulation. The 85 kb Fugu locus is dispersed over four human loci, occupying about 1.5 Mb. Contiguity is conserved in the human genome between six out of 16 Fugu gene pairs. These contiguous chromosomal segments should share a common evolutionary history dating back to the common ancestor of mammals and teleosts. We propose contiguity as strong evidence to identify orthologous genes in distant organisms. This study confirms the utility of the Fugu as a supplementary tool to uncover and confirm novel genes and putative gene regulatory regions in the human genome.

Amino Acid Sequence↗

Chromosome-Level Assembly and Annotation of the Grey Reef Shark (Carcharhinus amblyrhynchos) Genome.

To date less than 5% of shark species have nuclear reference genomes, despite next-generation sequencing advances. Particularly for threatened shark species, there is a lack of reliable genomes which are crucial in facilitating research and conservation applications. We assembled the first nuclear reference genome of the endangered grey reef shark (Carcharhinus amblyrhynchos) using long-read PacBio HiFi and Omni-C sequencing to reach chromosome-level contiguity (36 pseudochromosomes; 2.9 Gbp) and high completeness (94% complete BUSCOs). BRAKER3 annotated 16,505 protein-coding genes after masking repetitive elements which accounted for 59% of the genome. We identified potential X and Y sex chromosomes on pseudochromosomes 36 and 57, respectively. The quality and completeness of the draft genome of C. amblyrhynchos will enable researchers to investigate genetic variations and adaptations specific to this species as well as across other Carcharhinus spp., opening new venues for comparative genomics and advancing conservation genetic applications.

Animals↗

The genomic resource of Lysinibacillus fusiformis KBD-5, a biocontrol agent with antifungal activity against Botrytis cinerea.

Lysinibacillus fusiformis strain KBD-5, previously known for its antiviral activity against Tobacco mosaic virus, was investigated for its biocontrol potential against the fungal pathogen Botrytis cinerea. In plate assays, conducted with three independent biological replicates and incubated at 28 °C for 5 days, KBD-5 significantly inhibited the mycelial growth of B. cinerea by 76.42%. Whole-genome sequencing revealed a 4.69 Mb genome with a GC content of 37.28%, encoding 4719 proteins. Bioinformatics analysis identified genes involved in antimicrobial functions, including 195 carbohydrate-active enzymes (potentially aiding in fungal cell wall degradation) and 8 gene clusters for secondary metabolite synthesis (e.g., T3PKS with 30% similarity to bacillibactin biosynthetic clusters and NRPS), indicating the production of antifungal metabolites like bacillibactin-like polyketides. The strain also showed a high safety profile with no significant virulence or drug resistance risks. These findings indicate that genomic analysis of KBD-5 reveals the potential for multiple biocontrol mechanisms, supporting its potential development as a biocontrol agent. The draft genome sequence is available under NCBI accession PRJNA1335659.

Botrytis↗

T-box genes in the ascidian Ciona intestinalis: characterization of cDNAs and spatial expression.

Members of the T-box family of transcription factors share an evolutionarily conserved DNA-binding domain and play significant roles in various processes of embryonic development. Vertebrate T-box genes are categorized into the following five major subfamilies (eight groups), depending on sequence similarities: Brachyury, Tbx1 (Tbx1/10, Tbx15/18/22, Tbx20), Tbx2/3/4/5 (Tbx2/3 and Tbx4/5), Tbx6, and Tbr/Eomes/TBX21. Ascidians are primitive chordates, and their tadpole larva are considered to represent the simplified and basic body plan of vertebrates. In addition, it has been revealed that the ascidian genome contains the basic ancestral complement of genes involved in development. The present characterization of cDNAs and survey of the Ciona intestinalis draft genome demonstrated that the Ciona genome contains a single copy gene for each of the Brachyury, Tbx1/10, Tbx15/18/22, Tbx20, Tbx2/3, and Tbr/Eomes/TBX21 groups, and at least three copies of the Tbx6 subfamily. Each of the Ciona T-box genes shows a characteristic expression pattern, although that of Tbx20 was not determined in the present study. These results provide basic information that will be useful for future studies of the function of each gene, genetic cascades of different T-box genes, and genome-wide surveys of evolutionary changes in the T-box gene structure and organization in this primitive chordate.

Animals↗

The implications of electronic health record for personalized medicine.

The emerging concept of an electronic health record (EHR) targeted at a patient centric, cross-institutional and longitudinal information entity (possibly spanning the individuals lifetime) has great promise for personalized medicine. In fact, it is probably the only vehicle through which we may truly realize the personalization of medicine beyond population-based genetic profiles that are expected to become part of medication and treatment indications in the near future. The new EHR standards include mechanisms that integrate clinical data with genomic testing results obtained through applying research-type procedures, such as full DNA sequencing, to an individual patient. Although the most optimal process for the utilization of integrated clinical-genomic data in the EHR framework is still unclear, the new Health Level Seven (HL7) Clinical Genomics Draft Standard for Trial Use suggests using the 'encapsulate & bubble-up' approach, which includes two main phases: the encapsulation of raw genomic data and bubbling-up the most clinically significant portions of that data, while associating it with clinical phenotypes residing in the individual's EHR.

Computational Biology↗

Genomic and proteomic databases: large-scale analysis and integration of data.

With the completion of the human genome draft sequencing and assembly, an upcoming targeted goal will be identifying the proteins and changes in protein expression, which are derived from the genome template. There is important information already available on many proteins that can be a valuable resource to scientists in cardiovascular medicine as well as other fields. This article will summarize many of the different databases, their content and growth, and the differences between growth of nucleic acid and protein databases. Linkage between and integration of different protein and nuclei acid databases, along with related annotation, will greatly improve the information content and knowledge base with regards to protein data.

Databases, Factual↗

Human-specific insertions and deletions inferred from mammalian genome sequences.

It has been suggested that insertions and deletions (indels) have contributed to the sequence divergence between the human and chimpanzee genomes more than do nucleotide changes (3% vs. 1.2%). However, although there have been studies of large indels between the two genomes, no systematic analysis of small indels (i.e., indels </= 100 bp) has been published. In this study, we first estimated that the false-positive rate of small indels inferred from human-chimpanzee pairwise sequence alignments is quite high, suggesting that the chimpanzee genome draft is not sufficiently accurate for our purpose. We have therefore inferred only human-specific indels using multiple sequence alignments of mammalian genomes. We identified >840,000 "small" indels, which affect >7000 UCSC-annotated human genes (>11,000 transcripts). These indels, however, amount to only approximately 0.21% sequence change in the human lineage for the regions compared, whereas in pseudogenes indels contribute to a sequence divergence of 1.40%, suggesting that most of the indels that occurred in genic regions have been eliminated. Functional analysis reveals that the genes whose coding exons have been affected by human-specific indels are enriched in transcription and translation regulatory activities but are underrepresented in catalytic and transporter activities, cellular and physiological processes, and extracellular region/matrix. This functional bias suggests that human-specific indels might have contributed to human unique traits by causing changes at the RNA and protein level.

Animals↗

Genome-wide analysis of restriction-modification system in unicellular and filamentous cyanobacteria.

Cyanobacteria are an ancient group of gram-negative bacteria with strong genome size variation ranging from 1.6 to 9.1 Mb. Here, we first retrieved all the putative restriction-modification (RM) genes in the draft genome of Spirulina and then performed a range of comparative and bioinformatic analyses on RM genes from unicellular and filamentous cyanobacterial genomes. We have identified 6 gene clusters containing putative Type I RMs and 11 putative Type II RMs or the solitary methyltransferases (MTases). RT-PCR analysis reveals that 6 of 18 MTases are not expressed in Spirulina, whereas one hsdM gene, with a mutated cognate hsdS, was detected to be expressed. Our results indicate that the number of RM genes in filamentous cyanobacteria is significantly higher than in unicellular species, and this expansion of RM systems in filamentous cyanobacteria may be related to their wide range of ecological tolerance. Furthermore, a coevolutionary pattern is found between hsdM and hsdR, with a large number of site pairs positively or negatively correlated, indicating the functional importance of these pairing interactions between their tertiary structures. No evidence for positive selection is found for the majority of RMs, e.g., hsdM, hsdS, hsdR, and Type II restriction endonuclease gene families, while a group of MTases exhibit a remarkable signature of adaptive evolution. Sites and genes identified here to have been under positive selection would provide targets for further research on their structural and functional evaluations.

Bacterial Proteins↗

Whole-genome sequence of Streptococcus agalactiae strain GIFTS31 isolated from streptococcosis-infected Nile tilapia in Bangladesh.

Streptococcus agalactiae strain GIFTS31 was isolated from a Nile tilapia infected with streptococcosis in Gazipur, Bangladesh. The draft genome of GIFTS31 comprises 2,039,674 bp with a GC content of 35% and encodes 1,957 predicted protein-coding sequences. The genome sequence provides valuable insights into the pathogenic potential of fish-associated S. agalactiae.

Streptococcus agalactiae↗