Global chromatin landscapes identify candidate noncoding modifiers of cardiac rhythm.

Comprehensive cis-regulatory landscapes are essential for accurate enhancer prediction and disease variant mapping. Although cis-regulatory element (CRE) resources exist for most tissues and organs, many rare - yet functionally important - cell types remain overlooked. Despite representing only a small fraction of the heart's cellular biomass, the cardiac conduction system (CCS) unfailingly coordinates every life-sustaining heartbeat. To globally profile the mouse CCS cis-regulatory landscape, we genetically tagged CCS component-specific nuclei for comprehensive assay for transposase-accessible chromatin-sequencing (ATAC-Seq) analysis. Thus, we established a global CCS-enriched CRE database, referred to as CCS-ATAC, as a key resource for studying CCS-wide and component-specific regulatory functions. Using transcription factor (TF) motifs to construct CCS component-specific gene regulatory networks (GRNs), we identified and independently confirmed several specific TF sub-networks. Highlighting the functional importance of CCS-ATAC, we also validated numerous CCS-enriched enhancer elements and suggested gene targets based on CCS single-cell RNA-Seq data. Furthermore, we leveraged CCS-ATAC to improve annotation of existing human variants related to cardiac rhythm and nominated a potential enhancer-target pair that was dysregulated by a specific SNP. Collectively, our results established a CCS-regulatory compendium, identified novel CCS enhancer elements, and illuminated potential functional associations between human genomic variants and CCS component-specific CREs.

Identification and characterization of simple sequence repeats (SSRs) for population studies of Puccinia novopanici.

Switchgrass (Panicum virgatum L.) can be severely affected by rust disease. Recently switchgrass rust caused by P. emaculata (now confirmed to be Puccinia novopanici) has received most of the attention by the research community because this pathogen is responsible for reducing the biomass production and biofuel feedstock quality of switchgrass. Microsatellite markers found in the literature were either not informative (no allele frequency) or showed few polymorphisms in the target populations, therefore additional markers are needed for future studies of the genetic variation and population structure of P. novopanici. This study reports the development and characterization of novel simple sequence repeat (SSR) markers from a Puccinia emaculata s.l. microsatellite-enriched library and expressed sequence tags (ESTs). Microsatellites were evaluated for polymorphisms on P. emaculata s.l. urediniospores collected in Iowa (IA), Mississippi (MS), Oklahoma (OK), South Dakota (SD) and Virginia (VA). Puccinia novopanici single spore whole genome amplifications were used as templates to validate the SSR reactions protocol and to assess a preliminary population genetics statistics of the pathogen. Eighteen microsatellite markers were polymorphic (average PIC=0.72) on individual urediniospores, with an average of 8.3 alleles per locus (range 3 to 17). Of the 49 SSRs loci initially identified in P. emaculata s.l., 18 were transferable to P. striiformis f. sp. tritici, 23 to P. triticina, 20 to P. sorghi and 31 to P. andropogonis. Thus, these markers could be useful for DNA fingerprinting and population structure analysis for population genetics, epidemiology and ecological studies of P. novopanici and potentially other related Puccinia species.