Identifying the mechanisms of intron gain: progress and trends

Goldfish spexin: solution structure and novel function as a satiety factor in feeding control

Spexin (SPX) is a neuropeptide identified recently by bioinformatic approach. At present not much is known about its biological actions, and comparative studies of SPX in nonmammalian species are still lacking. To examine the structure and function of SPX in fish model, SPX was cloned in goldfish and found to be highly comparable with its mammalian counterparts. As revealed by NMR spectroscopies, goldfish SPX is composed of an α-helix from Gln(5) to Gln(14) with a flexible NH2 terminus from Asn(1) to Pro(4), and its molecular surface is largely hydrophobic except for Lys(11) as the only charged residue in the helical region. In goldfish, SPX transcripts were found to be widely expressed in various tissues, and protein expression of SPX was also detected in the brain. In vivo feeding studies revealed that SPX mRNA levels in the telencephalon, optic tectum, and hypothalamus of goldfish brain could be elevated by food intake. However, brain injection of goldfish SPX inhibited both basal and NPY- or orexin-induced feeding behavior and food consumption. Similar treatment also reduced transcript expression of NPY, AgRP, and apelin, with concurrent rises in CCK, CART, POMC, MCH, and CRH mRNA levels in different brain areas examined. The differential effects of SPX treatment on NPY, CCK, and MCH transcript expression could also be noted in vitro in goldfish brain cell culture. Our studies for the first time unveil the solution structure of SPX and its novel function as a satiety factor through differential modulation of central orexigenic and anorexigenic signals.

Flexible approaches for teaching computational genomics in a health information management program

The astonishing improvement of high-throughput biotechnologies in recent years makes it possible to access a huge amount of genomic data. The association between genomic data and genetic disease has already been and will continue to be applied to personalized healthcare. Health information management (HIM) professionals are the ones who will handle personal genetic information and provide solid evidence to support physicians' diagnoses and personalized treatment strategies, and therefore they will need to have the knowledge and skills to process genomic data. In this paper, we describe flexible approaches for teaching a computational genomics course in the HIM program at the University of Pittsburgh. HIM programs at other universities may choose an appropriate approach to fit into their own curriculum.

At the origin of spliceosomal introns: Is multiplication of introner-like elements the main mechanism of intron gain in fungi?

The recent discovery of introner-like elements (ILEs) in six fungal species shed new light on the origin of regular spliceosomal introns (RSIs) and the mechanism of intron gains. These novel spliceosomal introns are found in hundreds of copies, are longer than RSIs and harbor stable predicted secondary structures. Yet, they are prone to degeneration in sequence and length to become undistinguishable from RSIs, suggesting that ILEs are predecessors of most RSIs. In most fungi, other near-identical introns were found duplicated in lower numbers in the same gene or in unrelated genes, indicating that intron duplication is a widespread phenomenon. However, ILEs are associated with the majority of intron gains, suggesting that the other types of duplication are of minor importance to the overall gains of introns. Our data support the hypothesis that ILEs’ multiplication corresponds to the main mechanism of intron gain in fungi.

Mechanisms of intron loss and gain in the fission yeast Schizosaccharomyces

The fission yeast, Schizosaccharomyces pombe, is an important model species with a low intron density. Previous studies showed extensive intron losses during its evolution. To test the models of intron loss and gain in fission yeasts, we conducted a comparative genomic analysis in four Schizosaccharomyces species. Both intronization and de-intronization were observed, although both were at a low frequency. A de-intronization event was caused by a degenerative mutation in the branch site. Four cases of imprecise intron losses were identified, indicating that genomic deletion is not a negligible mechanism of intron loss. Most intron losses were precise deletions of introns, and were significantly biased to the 3′ sides of genes. Adjacent introns tended to be lost simultaneously. These observations indicated that the main force shaping the exon-intron structures of fission yeasts was precise intron losses mediated by reverse transcriptase. We found two cases of intron gains caused by tandem genomic duplication, but failed to identify the mechanisms for the majority of the intron gain events observed. In addition, we found that intron-lost and intron-gained genes had certain similar features, such as similar Gene Ontology categories and expression levels.

Modeling the evolution dynamics of exon-intron structure with a general random fragmentation process

Background

Most eukaryotic genes are interrupted by spliceosomal introns. The evolution of exon-intron structure remains mysterious despite rapid advance in genome sequencing technique. In this work, a novel approach is taken based on the assumptions that the evolution of exon-intron structure is a stochastic process, and that the characteristics of this process can be understood by examining its historical outcome, the present-day size distribution of internal translated exons (exon). Through the combination of simulation and modeling the size distribution of exons in different species, we propose a general random fragmentation process (GRFP) to characterize the evolution dynamics of exon-intron structure. This model accurately predicts the probability that an exon will be split by a new intron and the distribution of novel insertions along the length of the exon.

Results

As the first observation from this model, we show that the chance for an exon to obtain an intron is proportional to its size to the 3rd power. We also show that such size dependence is nearly constant across gene, with the exception of the exons adjacent to the 5^′ UTR. As the second conclusion from the model, we show that intron insertion loci follow a normal distribution with a mean of 0.5 (center of the exon) and a standard deviation of 0.11. Finally, we show that intron insertions within a gene are independent of each other for vertebrates, but are more negatively correlated for non-vertebrate. We use simulation to demonstrate that the negative correlation might result from significant intron loss during evolution, which could be explained by selection against multi-intron genes in these organisms.

Conclusions

The GRFP model suggests that intron gain is dynamic with a higher chance for longer exons; introns are inserted into exons randomly with the highest probability at the center of the exon. GRFP estimates that there are 78 introns in every 10 kb coding sequences for vertebrate genomes, agreeing with empirical observations. GRFP also estimates that there are significant intron losses in the evolution of non-vertebrate genomes, with extreme cases of around 57% intron loss in Drosophila melanogaster, 28% in Caenorhabditis elegans, and 24% in Oryza sativa.