Citrus is a large genus that includes several major cultivated species, including C. sinensis (sweet orange), Citrus reticulata (tangerine and mandarin), Citrus limon (lemon), Citrus grandis (pummelo) and Citrus paradisi (grapefruit). In 2009, the global citrus acreage was 9 million hectares and citrus production was 122.3 million tons (FAO statistics, see URLs), which is the top ranked among all the fruit crops. Among the 10.9 million tons (valued at $9.3 billion) of citrus products traded in 2009, sweet orange accounted for approximately 60% of citrus production for both fresh fruit and processed juice consumption (FAO statistics, see URLs). Moreover, citrus fruits and juice are the prime human source of vitamin C, an important component of human nutrition.Citrus fruits also have some unique botanical features, such as nucellar embryony (nucellus cells can develop into apomictic embryos that are genetically identical to mother plant). Consequently, somatic embryos grow much more vigorously than the zygotic embryos in seeds such that seedlings are essentially clones of the maternal parent. Such citrus-unique characteristics have hindered the study of citrus genetics and breeding improvement 1,2 . Complete genome sequences would provide valuable genetic resources for improving citrus crops.Citrus is believed to be native to southeast Asia 3-5 , and cultivation of fruit crops occurred at least 4,000 years ago 3,6 . The genetic origin of the sweet orange is not clear, although there are some speculations that sweet orange might be derived from interspecific hybridization of some primitive citrus species 7,8 . Citrus is also in the order Sapindales, a sister order to the Brassicales in the Malvidae, making it valuable for comparative genomics studies with the model plant Arabidopsis.We aimed to sequence the genome of Valencia sweet orange (C. sinensis cv. Valencia), one of the most important sweet orange varieties cultivated worldwide and grown primarily for orange juice production. Normal sweet oranges are diploids, with nine pairs of chromosomes and an estimated genome size of ~367 Mb 9 . To reduce the complexity of the sequenced genome, we obtained a doublehaploid (dihaploid) line derived from the anther culture of Valencia sweet orange 10 . We first generated whole-genome shotgun pairedend-tag sequence reads from the dihaploid genomic DNA and built a de novo assembly as the citrus reference genome; we then produced shotgun sequencing reads from the parental diploid DNA and mapped the sequences to the haploid reference genome to obtain the complete genome information for Valencia sweet orange. In addition, we conducted comprehensive transcriptome sequencing analyses for four representative tissues using shotgun RNA sequencing (RNA-Seq) to capture all transcribed sequences and paired-end-tag RNA sequencing (RNA-PET) to demarcate the 5′ and 3′ ends of all transcripts. On the basis of the DNA and RNA sequencing data, we characterized the orange genome for its gene content, heterozygosity and evolutionary features. ...

Fibroblast differentiation to the myofibroblast phenotype is associated with alpha-smooth-muscle actin (alpha-SMA) expression and regulated by cytokines. Among these, transforming growth factor (TGF)-beta(1) and interleukin (IL)-1beta can stimulate and inhibit myofibroblast differentiation, respectively. IL-1beta inhibits alpha-SMA expression by inducing apoptosis selectively in myofibroblasts via induction of nitric oxide synthase (inducible nitric oxide synthase [iNOS]). Because TGF-beta is known to inhibit iNOS expression, this study was undertaken to see if this cytokine can protect against IL-1beta-induced myofibroblast apoptosis. Rat lung fibroblasts were treated with IL-1beta and/or TGF-beta(1) and examined for expression of alpha-SMA, iNOS, and the apoptotic regulatory proteins bax and bcl-2. The results show that TGF-beta(1) caused a virtually complete suppression of IL-1beta-induced iNOS expression while preventing the decline in alpha-SMA expression or the myofibroblast subpopulation. TGF-beta(1) treatment also completely suppressed the IL-1beta-induced apoptosis in myofibroblasts. IL-1beta-induced apoptosis was associated with a significant decline in expression of the antiapoptotic protein bcl-2, which was prevented by concomitant TGF-beta(1) treatment. The level of the proapoptotic protein bax, however, was not significantly altered by either cytokine. These data suggest that TGF-beta(1) inhibits IL-1beta-induced apoptosis in myofibroblasts by at least two mechanisms, namely, the suppression of iNOS expression and the prevention of a decline in bcl-2 expression. Thus, TGF-beta(1) may be additionally important in fibrosis by virtue of this novel ability to promote myofibroblast survival by preventing the myofibroblast from undergoing apoptosis.

The standard molecular clock describes a constant rate of molecular evolution and provides a powerful framework for evolutionary timescales. Here, we describe the existence and implications of a molecular clock of folds, a universal recurrence in the discovery of new structures in the world of proteins. Using a phylogenomic structural census in hundreds of proteomes, we build phylogenies and time lines of domains at fold and fold superfamily levels of structural complexity. These time lines correlate approximately linearly with geological timescales and were here used to date two crucial events in life history, planet oxygenation and organism diversification. We first dissected the structures and functions of enzymes in simulated metabolic networks. The placement of anaerobic and aerobic enzymes in the time line revealed that aerobic metabolism emerged about 2.9 billion years (giga-annum; Ga) ago and expanded during a period of about 400 My, reaching what is known as the Great Oxidation Event. During this period, enzymes recruited old and new folds for oxygen-mediated enzymatic activities. Remarkably, the first fold lost by a superkingdom disappeared in Archaea 2.6 Ga ago, within the span of oxygen rise, suggesting that oxygen also triggered diversification of life. The implications of a molecular clock of folds are many and important for the neutral theory of molecular evolution and for understanding the growth and diversity of the protein world. The clock also extends the standard concept that was specific to molecules and their timescales and turns it into a universal timescale-generating tool.

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To determine the possible role of the epigenetic mechanisms in carcinogenesis of the hepatocellular carcinoma, we methylation-profiled the promoter CpG islands of twenty four genes both in HCC tumors and the neighboring non-cancerous tissues of twenty eight patients using the methylation-specific PCR (MSP) method in conjunction with the DNA sequencing. In comparison with the normal liver tissues from the healthy donors, it was found that while remained unmethylated the ABL, CAV, EPO, GATA3, LKB1, NEP, NFL, NIS and p27KIP1 genes, varying extents of the HCC specific hypermethylation were found associated with the ABO, AR, CSPG2, cyclin a1, DBCCR1, GALR2, IRF7, MGMT, MT1A, MYOD1, OCT6, p57 KIP2 , p73, WT1 genes, and demethylation with the MAGEA1 gene, respectively. Judged by whether the hypermethylated occurred in HCC more frequently than in their neighboring normal tissues, the hypermethylation status of the AR, DBCCR1, IRF7, OCT6, and p73 genes was considered as the event specific to the late stage, while that the rest that lacked such a distinguished contrast, as the event specific to the early stage of HCC carcinogenesis. Among all the clinical pathological parameters tested for the association with, the hypermethylation of the cyclin a1 gene was more prevalent in the non-cirrhosis group (P=0.021) while the hypermethylated p16INK4a gene was more common in the cirrhosis group (P=0.017). The concordant methylation behaviors of nineteen genes, including the four previously studied and their association with cirrhosis has been evaluated by the best subgroup selection method. The data presented in this report would enable us to shape our understanding of the mechanisms for the HCC specific loss of the epigenetic stability of the genome, as well as the strategy of developing the novel robust methylation based diagnostic and prognostic tools.