Papaya, a fruit crop cultivated in tropical and subtropical regions, is known for its nutritional benefits and medicinal applications. Here we report a 3× draft genome sequence of ‘SunUp’ papaya, the first commercial virus-resistant transgenic fruit tree1 to be sequenced. The papaya genome is three times the size of the Arabidopsis genome, but contains fewer genes, including significantly fewer disease-resistance gene analogues. Comparison of the five sequenced genomes suggests a minimal angiosperm gene set of 13,311. A lack of recent genome duplication, atypical of other angiosperm genomes sequenced so far2–5, may account for the smaller papaya gene number in most functional groups. Nonetheless, striking amplifications in gene number within particular functional groups suggest roles in the evolution of tree-like habit, deposition and remobilization of starch reserves, attraction of seed dispersal agents, and adaptation to tropical daylengths. Transgenesis at three locations is closely associated with chloroplast insertions into the nuclear genome, and with topoisomerase I recognition sites. Papaya offers numerous advantages as a system for fruit-tree functional genomics, and this draft genome sequence provides the foundation for revealing the basis of Carica's distinguishing morpho-physiological, medicinal and nutritional properties.

A highly efficient kinetic resolution of racemic cis-4-(2-tert-butyldimethylsilyloxy-1,1-dimethyl)ethyl-3-tert-butyldimethylsilyloxy-azetidin-2-one with 7-O-triethylsilylbaccatin III was carried out to furnish 10-O-acetyl-5′-hydroxybutitaxel after removal of the silyl protecting groups. The compound was 50% as active as paclitaxel in a tubulin assembly assay and showed significantly decreased activity against MCF7 cell proliferation compared to paclitaxel.

The voltage-dependent anion channel (VDAC) is the major transport protein in the outer membrane of mitochondria and plays crucial roles in energy metabolism, apoptosis, and metabolites transport. In plants, the expression of VDACs can be affected by different stresses, including drought, salinity and pathogen defense. In this study, we investigated the expression pattern of AtVDAC2 in A. thaliana and found ABA suppressed the accumulation of AtVDAC2 transcripts. Further, phenotype analysis of this VDAC deregulated-expression transgenic Arabidopsis plants indicated that AtVDAC2 anti-sense line showed an ABA-insensitivity phenotype during the early seedling development under ABA treatment. The results suggested that AtVDAC2 might be involved in ABA signaling in A. thaliana.

Cholera, caused by Vibrio cholerae, erupted globally from South Asia in 7 pandemics, but there were also local outbreaks between the 6th (1899–1923) and 7th (1961–present) pandemics. All the above are serotype O1, whereas environmental or invertebrate isolates are antigenically diverse. The pre 7th pandemic isolates mentioned above, and other minor pathogenic clones, are related to the 7th pandemic clone, while the 6th pandemic clone is in the same lineage but more distantly related, and non-pathogenic isolates show no clonal structure. To understand the origins and relationships of the pandemic clones, we sequenced the genomes of a 1937 prepandemic strain and a 6th pandemic isolate, and compared them with the published 7th pandemic genome. We distinguished mutational and recombinational events, and allocated these and other events, to specific branches in the evolutionary tree. There were more mutational than recombinational events, but more genes, and 44 times more base pairs, changed by recombination. We used the mutational single-nucleotide polymorphisms and known isolation dates of the prepandemic and 7th pandemic isolates to estimate the mutation rate, and found it to be 100 fold higher than usually assumed. We then used this to estimate the divergence date of the 6th and 7th pandemic clones to be about 1880. While there is a large margin of error, this is far more realistic than the 10,000–50,000 years ago estimated using the usual assumptions. We conclude that the 2 pandemic clones gained pandemic potential independently, and overall there were 29 insertions or deletions of one or more genes. There were also substantial changes in the major integron, attributed to gain of individual cassettes including copying from within, or loss of blocks of cassettes. The approaches used open up new avenues for analysing the origin and history of other important pathogens.

Background

The phylum Verrucomicrobia is a widespread but poorly characterized bacterial clade. Although cultivation-independent approaches detect representatives of this phylum in a wide range of environments, including soils, seawater, hot springs and human gastrointestinal tract, only few have been isolated in pure culture. We have recently reported cultivation and initial characterization of an extremely acidophilic methanotrophic member of the Verrucomicrobia, strain V4, isolated from the Hell's Gate geothermal area in New Zealand. Similar organisms were independently isolated from geothermal systems in Italy and Russia.

Results

We report the complete genome sequence of strain V4, the first one from a representative of the Verrucomicrobia. Isolate V4, initially named "Methylokorus infernorum" (and recently renamed Methylacidiphilum infernorum) is an autotrophic bacterium with a streamlined genome of ~2.3 Mbp that encodes simple signal transduction pathways and has a limited potential for regulation of gene expression. Central metabolism of M. infernorum was reconstructed almost completely and revealed highly interconnected pathways of autotrophic central metabolism and modifications of C1-utilization pathways compared to other known methylotrophs. The M. infernorum genome does not encode tubulin, which was previously discovered in bacteria of the genus Prosthecobacter, or close homologs of any other signature eukaryotic proteins. Phylogenetic analysis of ribosomal proteins and RNA polymerase subunits unequivocally supports grouping Planctomycetes, Verrucomicrobia and Chlamydiae into a single clade, the PVC superphylum, despite dramatically different gene content in members of these three groups. Comparative-genomic analysis suggests that evolution of the M. infernorum lineage involved extensive horizontal gene exchange with a variety of bacteria. The genome of M. infernorum shows apparent adaptations for existence under extremely acidic conditions including a major upward shift in the isoelectric points of proteins.

Conclusion

The results of genome analysis of M. infernorum support the monophyly of the PVC superphylum. M. infernorum possesses a streamlined genome but seems to have acquired numerous genes including those for enzymes of methylotrophic pathways via horizontal gene transfer, in particular, from Proteobacteria.

Reviewers

This article was reviewed by John A. Fuerst, Ludmila Chistoserdova, and Radhey S. Gupta.

Summary

Genetics impact the propensity of different strains of mice to display hyperalgesia after opioid administration. In these studies we demonstrate that variants of the β2 adrenergic receptor gene are linked to these differences in murine opioid-induced hyperalgesia.

Background

Opioid-induced hyperalgesia (OIH) is a syndrome of increased sensitivity to noxious stimuli seen after both the acute and chronic administration of opioids which has been observed in humans and rodent models. This syndrome may reduce the clinical utility of opioids in treating acute and chronic pain.

Methods

In these studies we measured the propensity of 15 strains of inbred mice to develop mechanical manifestations of OIH. These data were subjected to in silico genetic analysis which resulted in the association of haplotypic blocks within or near several known genes. Both pharmacological agents and transgenic mice were used to confirm the functional association of the most strongly linked gene with OIH.

Results

Both baseline mechanical nociceptive thresholds as well as the percentage changes in these thresholds after 4 days of morphine treatment were found to be highly strain dependent. The haplotypic block most strongly associated with the mechanical OIH data was located within the β2 adrenergic receptor gene (β2-AR). Using the selective β2-AR antagonist butoxamine, we observed a dose-dependent reversal of OIH. Furthermore, deletion of the β2-AR gene sharply reduced the mechanical allodynia present after morphine treatment in the wild type mouse strain. Analysis of the associated β2-AR haplotypic block identified single nucleotide polymorphisms potentially explaining in part the strain specific differences in OIH.

Conclusions

Genetic variants of the β2-AR gene appear to explain some part of the differences between various strains of mice to develop OIH. The association of this gene with OIH suggests specific pharmacological strategies for reducing the impact of OIH on patients consuming opioids.

A recently developed murine haplotype-based computational method was used to identify genetic factors regulating the metabolism of warfarin, a commonly prescribed anticoagulant with a narrow therapeutic index and a large variation in individual dosing. The amount of warfarin and 9 identified metabolites in plasma was quantitated after dosing 13 inbred mouse strains. Strain-specific differences in drug metabolism through generation of 7-hydroxywarfarin metabolites were computationally correlated with genetic variation within a chromosomal region encoding cytochrome P450 2C enzymes. This computational prediction was experimentally confirmed by showing that the rate limiting step in biotransformation of warfarin to its 7-hydroxylated metabolite was inhibited by a Cyp2c isoform specific substrate (tolbutamide) and was mediated by expressed recombinant Cyp2c29. Genetic variants responsible for inter-individual pharmacokinetic differences for clinically important drugs can be identified by computational genetic analysis in mice.

Analysis of mouse genetic models of human disease–associated traits has provided important insight into the pathogenesis of human disease. As one example, analysis of a murine genetic model of osteoporosis demonstrated that genetic variation within the 15-lipoxygenase (Alox15) gene affected peak bone mass, and that treatment with inhibitors of this enzyme improved bone mass and quality in rodent models. However, the method that has been used to analyze mouse genetic models is very time consuming, inefficient, and costly. To overcome these limitations, a computational method for analysis of mouse genetic models was developed that markedly accelerates the pace of genetic discovery. It was used to identify a genetic factor affecting the rate of metabolism of warfarin, an anticoagulant that is commonly used to treat clotting disorders. Computational analysis of a murine genetic model of narcotic drug withdrawal suggested a potential new approach for treatment of narcotic drug addiction. Thus, the results derived from computational mouse genetic analysis can suggest new treatment strategies, and can provide new information about currently available medicines.