CRISPRs of Enterococcus faecalis and E. hirae Isolates from Pig Feces Have Species-Specific Repeats But Share Some Common Spacer Sequences

Clustered regularly interspaced short palindromic repeats (CRISPR) are currently a topic of interest in microbiology due to their role as a prokaryotic immune system. Investigations of CRISPR distribution and characterization to date have focused on pathogenic bacteria, while less is known about CRISPR in commensal bacteria, where they may have a significant role in the ecology of the microbiota of humans and other animals, and act as a recorder of interactions between bacteria and viruses. A combination of PCR and sequencing was used to determine prevalence and distribution of CRISPR arrays in Enterococcus faecalis and Enterococcus hirae isolates from the feces of healthy pigs. Both type II CRISPR–Cas and Orphan CRISPR (without Cas genes) were detected in the 195 isolates examined. CRISPR–Cas was detected in 52 (46/88) and 42 % (45/107) E. faecalis and E. hirae isolates, respectively. The prevalence of Orphan CRISPR arrays was higher in E. faecalis isolates (95 %, 84/88) compared with E. hirae isolates (49 %, 53/107). Species-specific repeat sequences were identified in Orphan CRISPR arrays, and 42 unique spacer sequences were identified. Only two spacers matched previously characterized pig virome sequences, and many were apparently derived from chromosomal sequences of enterococci. Surprisingly, 17 (40 %) of the spacers were detected in both species. Shared spacer sequences are evidence of a lack of species specificity in the agents and mechanisms responsible for integration of spacers, and the abundance of spacer sequences corresponding to bacterial chromosomal sequences reflects interspecific interactions within the intestinal microbiota.     

Inferring Admixture Histories of Human Populations Using Linkage Disequilibrium

Long-range migrations and the resulting admixtures between populations have been important forces shaping human genetic diversity. Most existing methods for detecting and reconstructing historical admixture events are based on allele frequency divergences or patterns of ancestry segments in chromosomes of admixed individuals. An emerging new approach harnesses the exponential decay of admixture-induced linkage disequilibrium (LD) as a function of genetic distance. Here, we comprehensively develop LD-based inference into a versatile tool for investigating admixture. We present a new weighted LD statistic that can be used to infer mixture proportions as well as dates with fewer constraints on reference populations than previous methods. We define an LD-based three-population test for admixture and identify scenarios in which it can detect admixture events that previous formal tests cannot. We further show that we can uncover phylogenetic relationships among populations by comparing weighted LD curves obtained using a suite of references. Finally, we describe several improvements to the computation and fitting of weighted LD curves that greatly increase the robustness and speed of the calculations. We implement all of these advances in a software package, ALDER, which we validate in simulations and apply to test for admixture among all populations from the Human Genome Diversity Project (HGDP), highlighting insights into the admixture history of Central African Pygmies, Sardinians, and Japanese.     

The Pacific Ocean Virome (POV): A Marine Viral Metagenomic Dataset and Associated Protein Clusters for Quantitative Viral Ecology

Bacteria and their viruses (phage) are fundamental drivers of many ecosystem processes including global biogeochemistry and horizontal gene transfer. While databases and resources for studying function in uncultured bacterial communities are relatively advanced, many fewer exist for their viral counterparts. The issue is largely technical in that the majority (often 90%) of viral sequences are functionally ‘unknown’ making viruses a virtually untapped resource of functional and physiological information. Here, we provide a community resource that organizes this unknown sequence space into 27 K high confidence protein clusters using 32 viral metagenomes from four biogeographic regions in the Pacific Ocean that vary by season, depth, and proximity to land, and include some of the first deep pelagic ocean viral metagenomes. These protein clusters more than double currently available viral protein clusters, including those from environmental datasets. Further, a protein cluster guided analysis of functional diversity revealed that richness decreased (i) from deep to surface waters, (ii) from winter to summer, (iii) and with distance from shore in surface waters only. These data provide a framework from which to draw on for future metadata-enabled functional inquiries of the vast viral unknown.     

Reconstructing Roma History from Genome-Wide Data

The Roma people, living throughout Europe and West Asia, are a diverse population linked by the Romani language and culture. Previous linguistic and genetic studies have suggested that the Roma migrated into Europe from South Asia about 1,000–1,500 years ago. Genetic inferences about Roma history have mostly focused on the Y chromosome and mitochondrial DNA. To explore what additional information can be learned from genome-wide data, we analyzed data from six Roma groups that we genotyped at hundreds of thousands of single nucleotide polymorphisms (SNPs). We estimate that the Roma harbor about 80% West Eurasian ancestry–derived from a combination of European and South Asian sources–and that the date of admixture of South Asian and European ancestry was about 850 years before present. We provide evidence for Eastern Europe being a major source of European ancestry, and North-west India being a major source of the South Asian ancestry in the Roma. By computing allele sharing as a measure of linkage disequilibrium, we estimate that the migration of Roma out of the Indian subcontinent was accompanied by a severe founder event, which appears to have been followed by a major demographic expansion after the arrival in Europe.     

Phosphoproteome analysis of the MAPK pathway reveals previously undetected feedback mechanisms

The RAS‐RAF‐MEK‐ERK (MAPK) pathway is prevalently perturbed in cancer. Recent large‐scale sequencing initiatives profiled thousands of tumors providing insight into alterations at the DNA and RNA levels. These efforts confirmed that key nodes of the MAPK pathway, in particular KRAS and BRAF, are among the most frequently altered proteins in cancer. The establishment of targeted therapies, however, has proven difficult. To decipher the underlying challenges, it is essential to decrypt the phosphorylation network spanned by the MAPK core axis. Using mass spectrometry we identified 2241 phosphorylation sites on 1020 proteins, and measured their responses to inhibition of MEK or ERK. Multiple phosphorylation patterns revealed previously undetected feedback, as upstream signaling nodes, including receptor kinases, showed changes at the phosphorylation level. We provide a dataset rich in potential therapeutic targets downstream of the MAPK cascade. By integrating TCGA (The Cancer Genome Atlas) data, we highlight some downstream phosphoproteins that are frequently altered in cancer. All MS data have been deposited in the ProteomeXchange with identifier PXD003908 ( http://proteomecentral.proteomexchange.org/dataset/PXD003908 ).     

PEX16 contributions to peroxisome import and metabolism revealed by viable Arabidopsis pex16 mutants

Peroxisomes rely on peroxins(PEX proteins) for biogenesis, importing membrane and matrix proteins, and fission. PEX_16, which is implicated in peroxisomal membrane protein targeting and forming nascent peroxisomes from the endoplasmic reticulum(ER), is unusual among peroxins because it is inserted co-translationally into the ER and localizes to both ER and peroxisomal membranes. PEX_16 mutations in humans, yeast, and plants confer some common peroxisomal defects; however, apparent functional differences have impeded the development of a unified model for PEX_16 action. The only reported pex_16 mutant in plants, the Arabidopsis shrunken seed1 mutant, is inviable,complicating analysis of PEX_16 function after embryogenesis. Here, we characterized two viable Arabidopsis pex_16 alleles that accumulate negligible PEX_16 protein levels. Both mutants displayed impaired peroxisome function-slowed consumption of stored oil bodies, decreased import of matrix proteins, and increased peroxisome size. Moreover,one pex_16 allele exhibited reduced growth that could be alleviated by an external fixed carbon source, decreased responsiveness to peroxisomally processed hormone precursors, and worsened or improved peroxisome function in combination with other pex mutants. Because the mutations impact different regions of the PEX_16 gene, these viable pex_16 alleles allow assessment of the importance of Arabidopsis PEX_16 and its functional domains.