Leonid Teytelman

Impact of Chromatin Structures on DNA Processing for Genomic Analyses

Chromatin has an impact on recombination, repair, replication, and evolution of DNA. Here we report that chromatin structure also affects laboratory DNA manipulation in ways that distort the results of chromatin immunoprecipitation (ChIP) experiments. We initially discovered this effect at the Saccharomyces cerevisiae HMR locus, where we found that silenced chromatin was refractory to shearing, relative to euchromatin. Using input samples from ChIP-Seq studies, we detected a similar bias throughout the heterochromatic portions of the yeast genome. We also observed significant chromatin-related effects at telomeres, protein binding sites, and genes, reflected in the variation of input-Seq coverage. Experimental tests of candidate regions showed that chromatin influenced shearing at some loci, and that chromatin could also lead to enriched or depleted DNA levels in prepared samples, independently of shearing effects. Our results suggested that assays relying on immunoprecipitation of chromatin will be biased by intrinsic differences between regions packaged into different chromatin structures - biases which have been largely ignored to date. These results established the pervasiveness of this bias genome-wide, and suggested that this bias can be used to detect differences in chromatin structures across the genome.

Silent but not static: accelerated base-pair substitution in silenced chromatin of budding yeasts.

Subtelomeric DNA in budding yeasts, like metazoan heterochromatin, is gene poor, repetitive, transiently silenced, and highly dynamic. The rapid evolution of subtelomeric regions is commonly thought to arise from transposon activity and increased recombination between repetitive elements. However, we found evidence of an additional factor in this diversification. We observed a surprising level of nucleotide divergence in transcriptionally silenced regions in inter-species comparisons of Saccharomyces yeasts. Likewise, intra-species analysis of polymorphisms also revealed increased SNP frequencies in both intergenic and synonymous coding positions of silenced DNA. This analysis suggested that silenced DNA in Saccharomyces cerevisiae and closely related species had increased single base-pair substitution that was likely due to the effects of the silencing machinery on DNA replication or repair.

Elaboration, Diversification and Regulation of the Sir1 Family of Silencing Proteins in Saccharomyces

Heterochromatin renders domains of chromosomes transcriptionally silent and, due to clonal variation in its formation, can generate heritably distinct populations of genetically identical cells. Saccharomyces cerevisiaes Sir1 functions primarily in the establishment, but not the maintenance, of heterochromatic silencing at the HMR and HML loci. In several Saccharomyces species, we discovered multiple paralogs of Sir1, called Kos1–Kos4 (Kin of Sir1). The Kos and Sir1 proteins contributed partially overlapping functions to silencing of both cryptic mating loci in S. bayanus. Mutants of these paralogs reduced silencing at HML more than at HMR. Most genes of the SIR1 family were located near telomeres, and at least one paralog was regulated by telomere position effect. In S. cerevisiae, Sir1 is recruited to the silencers at HML and HMR via its ORC interacting region (OIR), which binds the bromo adjacent homology (BAH) domain of Orc1. Zygosaccharomyces rouxii, which diverged from Saccharomyces after the appearance of the silent mating cassettes, but before the whole-genome duplication, contained an ortholog of Kos3 that was apparently the archetypal member of the family, with only one OIR. In contrast, a duplication of this domain was present in all orthologs of Sir1, Kos1, Kos2, and Kos4. We propose that the functional specialization of Sir3, itself a paralog of Orc1, as a silencing protein was facilitated by the tandem duplication of the OIR domain in the Sir1 family, allowing distinct Sir1–Sir3 and Sir1–Orc1 interactions through OIR–BAH domain interactions.

Protocols.io: Virtual Communities for Protocol Development and Discussion.

The detailed know-how to implement research protocols frequently remains restricted to the research group that developed the method or technology. This knowledge often exists at a level that is too detailed for inclusion in the methods section of scientific articles. Consequently, methods are not easily reproduced, leading to a loss of time and effort by other researchers. The challenge is to develop a method-centered collaborative platform to connect with fellow researchers and discover state-of-the-art knowledge. Protocols.io is an open-access platform for detailing, sharing, and discussing molecular and computational protocols that can be useful before, during, and after publication of research results.

Protocols.io: Reducing the knowledge that perishes because we do not publish it

The way life scientists communicate has hardly changed since the days of Gregor Mendel. Even though mobile and Internet technology has transformed a wide array of communication channels, academic publishing has largely resisted change. As a consequence, it is impossible to stay up-to-date with the rapidly evolving methodology in the life sciences. Most corrections and optimizations of previously-published methods are never properly communicated beyond the confines of a given laboratory. Researchers are constantly re-discovering knowledge simply due to the lack of an efficient system to communicate such findings. Protocols.io is a central platform that leverages modern web and mobile technology to facilitate easy discovery and sharing of this scientific knowledge.

Strength in numbers: Collaborative science for new experimental model systems

Our current understanding of biology is heavily based on a small number of genetically tractable model organisms. Most eukaryotic phyla lack such experimental models, and this limits our ability to explore the molecular mechanisms that ultimately define their biology, ecology, and diversity. In particular, marine protists suffer from a paucity of model organisms despite playing critical roles in global nutrient cycles, food webs, and climate. To address this deficit, an initiative was launched in 2015 to foster the development of ecologically and taxonomically diverse marine protist genetic models. The development of new models faces many barriers, some technical and others institutional, and this often discourages the risky, long-term effort that may be required. To lower these barriers and tackle the complexity of this effort, a highly collaborative community-based approach was taken. Herein, we describe this approach, the advances achieved, and the lessons learned by participants in this novel community-based model for research.