ALBERT

Description: Mammals diversified by colonizing drastically different environments, with each transition yielding numerous molecular changes, including losses of protein function. Though not initially deleterious, these losses could subsequently carry deleterious pleiotropic consequences. We have used phylogenetic methods to identify convergent functional losses across independent marine mammal lineages. In one extreme case, Paraoxonase 1 ( PON1 ) accrued lesions in all marine lineages, while remaining intact in all terrestrial mammals. These lesions coincide with PON1 enzymatic activity loss in marine species’ blood plasma. This convergent loss is likely explained by parallel shifts in marine ancestors’ lipid metabolism and/or bloodstream oxidative environment affecting PON1’s role in fatty acid oxidation. PON1 loss also eliminates marine mammals’ main defense against neurotoxicity from specific man-made organophosphorus compounds, implying potential risks in modern environments.

Description: The turbulent surfaces of rivers and streams are natural hotspots of biogeochemical exchange with the atmosphere. At the global scale, the total river-atmosphere flux of trace gasses such as carbon dioxide depends on the proportion of Earth’s surface that is covered by the fluvial network, yet the total surface area of rivers and streams is poorly constrained. We used a global database of planform river hydromorphology and a statistical approach to show that global river and stream surface area at mean annual discharge is 773,000 ± 79,000 square kilometers (0.58 ± 0.06%) of Earth’s nonglaciated land surface, an area 44 ± 15% larger than previous spatial estimates. We found that rivers and streams likely play a greater role in controlling land-atmosphere fluxes than is currently represented in global carbon budgets.

Description: The color patterns of African cichlid fishes provide notable examples of phenotypic convergence. Across the more than 1200 East African rift lake species, melanic horizontal stripes have evolved numerous times. We discovered that regulatory changes of the gene agouti-related peptide 2 ( agrp2 ) act as molecular switches controlling this evolutionarily labile phenotype. Reduced agrp2 expression is convergently associated with the presence of stripe patterns across species flocks. However, cis-regulatory mutations are not predictive of stripes across radiations, suggesting independent regulatory mechanisms. Genetic mapping confirms the link between the agrp2 locus and stripe patterns. The crucial role of agrp2 is further supported by a CRISPR-Cas9 knockout that reconstitutes stripes in a nonstriped cichlid. Thus, we unveil how a single gene affects the convergent evolution of a complex color pattern.

Description: Snowshoe hares ( Lepus americanus ) maintain seasonal camouflage by molting to a white winter coat, but some hares remain brown during the winter in regions with low snow cover. We show that cis-regulatory variation controlling seasonal expression of the Agouti gene underlies this adaptive winter camouflage polymorphism. Genetic variation at Agouti clustered by winter coat color across multiple hare and jackrabbit species, revealing a history of recurrent interspecific gene flow. Brown winter coats in snowshoe hares likely originated from an introgressed black-tailed jackrabbit allele that has swept to high frequency in mild winter environments. These discoveries show that introgression of genetic variants that underlie key ecological traits can seed past and ongoing adaptation to rapidly changing environments.

Description: Maintenance of biodiversity in a rapidly changing climate will depend on the efficacy of evolutionary rescue, whereby population declines due to abrupt environmental change are reversed by shifts in genetically driven adaptive traits. However, a lack of traits known to be under direct selection by anthropogenic climate change has limited the incorporation of evolutionary processes into global conservation efforts. In 21 vertebrate species, some individuals undergo a seasonal color molt from summer brown to winter white as camouflage against snow, whereas other individuals remain brown. Seasonal snow duration is decreasing globally, and fitness is lower for winter white animals on snowless backgrounds. Based on 2713 georeferenced samples of known winter coat color—from eight species across trophic levels—we identify environmentally driven clinal gradients in winter coat color, including polymorphic zones where winter brown and white morphs co-occur. These polymorphic zones, underrepresented by existing global protected area networks, indicate hot spots for evolutionary rescue in a changing climate.

Description: Anyone awed by towering redwoods should offer thanks to stomata, the tiny pores on the leaves of all trees and other vascular plants. These microscopic mouths allow plants to grow tall and to regulate carbon dioxide intake and water loss. Stomata, in short, helped plants colonize the landscape and transform the planet. Now, molecular studies are giving scientists glimpses of the early days of stomata and how they have changed since then. They suggest complex stomata evolved to help early plants control moisture in their spore capsules and that other plants later exploited these pores to breathe in carbon dioxide and exhale water vapor. And hundreds of millions of years later, more sophisticated stomata evolved in grasses, enabling them to tightly control water loss—a feature that helped them dominate dry landscapes around the world. Author: Elizabeth Pennisi

Description: Author: Julia Fahrenkamp-Uppenbrink

Description: Avian egg shape is generally explained as an adaptation to life history, yet we currently lack a global synthesis of how egg-shape differences arise and evolve. Here, we apply morphometric, mechanistic, and macroevolutionary analyses to the egg shapes of 1400 bird species. We characterize egg-shape diversity in terms of two biologically relevant variables, asymmetry and ellipticity, allowing us to quantify the observed morphologies in a two-dimensional morphospace. We then propose a simple mechanical model that explains the observed egg-shape diversity based on geometric and material properties of the egg membrane. Finally, using phylogenetic models, we show that egg shape correlates with flight ability on broad taxonomic scales, suggesting that adaptations for flight may have been critical drivers of egg-shape variation in birds.

Description: Extreme environmental perturbations offer opportunities to observe the effects of natural selection in wild populations. During the winter of 2013–2014, the southeastern United States endured an extreme cold event. We used thermal performance, transcriptomics, and genome scans to measure responses of lizard populations to storm-induced selection. We found significant increases in cold tolerance at the species’ southern limit. Gene expression in southern survivors shifted toward patterns characteristic of northern populations. Comparing samples before and after the extreme winter, 14 genomic regions were differentiated in the surviving southern population; four also exhibited signatures of local adaptation across the latitudinal gradient and implicate genes involved in nervous system function. Together, our results suggest that extreme winter events can rapidly produce strong selection on natural populations at multiple biological levels that recapitulate geographic patterns of local adaptation.

Description: Author: Sacha Vignieri

Description: The phrase “perception is reality” is used in many contexts but is often not true. For example, human inability to perceive ultraviolet light does not negate its reality. Nevertheless, perception can cause reality to evolve. This is the insight of the study by Nachev et al. on page 75 of this issue (1). The authors integrated field and laboratory experiments with computer simulations to explain how perceptual mechanisms in a pollinator—a bat—can cause the evolution of counterintuitive traits in flowers. Author: Hamilton Farris

Description: Charles Darwin closed his first edition of On the Origin of Species with the poetic words: “There is grandeur in this view of life,…whilst this planet has gone cycling on according to the fixed law of gravity, from so simple a beginning endless forms most beautiful and most wonderful have been, and are being, evolved” (1). Today, scientists are using genetics to understand how species multiply, and ecological and behavioral knowledge to understand why they do so. However, many questions remain about the sources of genetic variation and how new phenotypes arise in response to environmental change. Recent research has revealed unexpected origins of genetic variation, providing crucial insights into phenotypic divergence and the evolutionary effects of rare events triggered by global climatic change. Authors: B. Rosemary Grant, Peter R. Grant

Description: Author: Julia Fahrenkamp-Uppenbrink

Description: We used extensive data from a long-term study of great tits ( Parus major ) in the United Kingdom and Netherlands to better understand how genetic signatures of selection translate into variation in fitness and phenotypes. We found that genomic regions under differential selection contained candidate genes for bill morphology and used genetic architecture analyses to confirm that these genes, especially the collagen gene COL4A5 , explained variation in bill length. COL4A5 variation was associated with reproductive success, which, combined with spatiotemporal patterns of bill length, suggested ongoing selection for longer bills in the United Kingdom. Last, bill length and COL4A5 variation were associated with usage of feeders, suggesting that longer bills may have evolved in the United Kingdom as a response to supplementary feeding.

Description: Nachev et al . (Reports, 6 January 2017, p. 75) present dilute nectar in bat-pollinated plants as "paradoxical" because bats prefer concentrated nectar, but paradox disappears with realistic assumptions about nectar evolution. We argue that they make unrealistic assumptions about the cognitive abilities of bat pollinators, invoke Weber’s law inappropriately, and cannot predict observed nectar concentrations of bat flowers or negative correlations between pollinator body size and average concentration.

Description: Pyke and Waser claim that our virtual pollination ecology model makes unrealistic assumptions and fails to predict observed nectar concentrations of bat flowers and negative correlations between pollinator body size and sugar concentration. In their comment, crucial model features are misrepresented, misunderstood, or ignored. Sensitivity to the supply/demand ratio explains both the equilibrium concentrations and the selection for lower concentrations by larger pollinators.

Description: One of the most important developments in Earth's history is the change from the anaerobic environment of the early Earth to the aerobic and highly oxidizing environment that we have today, with 21% atmospheric oxygen (O2) (1). Many geologists, atmospheric scientists, and biologists have studied this dramatic change in the redox state of Earth—the “great oxidation event” (2)—to understand when and how it took place. On page 1436 of this issue, Soo et al. report exciting new evidence toward answers to both these questions (3). Author: Robert E. Blankenship

Description: Animals that wield toxins face self-intoxication. Poison frogs have a diverse arsenal of defensive alkaloids that target the nervous system. Among them is epibatidine, a nicotinic acetylcholine receptor (nAChR) agonist that is lethal at microgram doses. Epibatidine shares a highly conserved binding site with acetylcholine, making it difficult to evolve resistance yet maintain nAChR function. Electrophysiological assays of human and frog nAChR revealed that one amino acid replacement, which evolved three times in poison frogs, decreased epibatidine sensitivity but at a cost of acetylcholine sensitivity. However, receptor functionality was rescued by additional amino acid replacements that differed among poison frog lineages. Our results demonstrate how resistance to agonist toxins can evolve and that such genetic changes propel organisms toward an adaptive peak of chemical defense.

Description: Mutualistic symbiotic relationships are those in which both species benefit; for example, the vivid colors of coral reefs come from symbiotic algae that provide their living coral hosts with nutrients and oxygen through photosynthesis in exchange for protection. A similar mutualistic relationship exists between gut-dwelling bacteria and their animal hosts (1). It remains unclear, however, to what degree symbiosis has shaped host-microbial interactions and coevolution. On page 380 of this issue, Moeller et al. show that gut bacterial strains cospeciated with hominids (apes and humans) over the past 15 million years (2). These findings set the stage for exploring the evolutionary processes that underlie the symbiotic relationship between hominids and their gut-dwelling microbes. Authors: Julia A. Segre, Nick Salafsky

Description: Author: Caroline Ash

Description: Several unprecedented videos of gelatinous sea creatures called comb jellies, or ctenophores, now threaten to upend the standard view of the evolution of the so-called through-gut. Comb jellies, jellyfish, sea sponges, and a few other creatures all were thought to lack an anus, which meant they had to eat and defecate through a single hole. These are descendants of some of the first animals to arise, so it has been thought that the through-gut and anus were an innovation that came after those lineages emerged—and perhaps something that drove the diversity of new animal forms. But on 15 March, at the Ctenopolooza meeting in St. Augustine, Florida, evolutionary biologist William Browne of the University of Miami in Florida debuted films of comb jellies pooping—and it wasn't through their mouths. Browne's videos elicited gasps from the audience, who is now rethinking when the through-gut first evolved—and whether it may have emerged more than once. Author: Amy Maxmen

Description: For years, scientists have debated where dogs came from. Did wolves first forge their special relationship with humans in Europe, or in Asia? The answer, according to a new study, is yes. Researchers report that genetic analysis of hundreds of canines—including a nearly 5000-year-old dog unearthed on the east coast of Ireland—reveals that dogs may have been domesticated twice, once in Asia and once in Europe or the Near East, although European ancestry has mostly vanished from today's dogs. The findings could resolve a rift that has roiled the canine origins community—but experts say a lot more work needs to be done to confirm them. Author: David Grimm

Description: One of the greatest symbols of the birth of evolutionary biology is Darwin's first sketch of an evolutionary tree, above which he wrote: “I think.” Not only are evolutionary trees central to how scientists conceptualize evolutionary processes, Darwin's words also capture a key aspect of evolutionary science: It is difficult to observe, forcing researchers to rely heavily on inference. In recent decades, studies of fast-growing microorganisms have allowed hypotheses about evolutionary processes to be tested experimentally (1). On page 1147 of this issue, Baym et al. (2) report a device for visualizing evolutionary branching as bacteria grow across a meter-scale agar slab. The results offer important insights into evolutionary dynamics in spatially extended systems. Authors: Luke McNally, Sam P. Brown

Description: The field of molecular evolution is concerned with evolutionary changes in genes and genomes and the underlying driving forces behind those changes. Current studies in molecular evolution are almost entirely retrospective, with a focus on the mutations that were fixed during evolution, and the conclusions are often explanatory, offering no predictive insights. Because only a tiny fraction of all mutations that have ever occurred during evolution have been fixed, the “successes” that we see today provide an incomplete or even biased understanding of the evolutionary process. One way to circumvent this problem is to obtain the whole fitness landscape of a gene to understand, prospectively, chance and necessity in evolution (see the figure). Two studies in this issue, by Li et al. on page 837 (1) and Puchta et al. on page 840 (2), each take on this challenge by characterizing the in vivo fitness landscape of two RNA genes. Authors: Xionglei He, Li Liu

Description: Author: Sacha Vignieri

Description: For many evolutionary biologists, nothing gets their dander up faster than suggesting evolution is anything other than the process of natural selection, acting on random mutations. So some are uneasy that the John Templeton Foundation has awarded $8.7 million to U.K., Swedish, and U.S. researchers for experimental and theoretical work intended to put a revisionist view of evolution, the so-called extended evolutionary synthesis, on a sounder footing. Using a variety of plants, animals, and microbes, the researchers will study the possibility that organisms can influence their own evolution and that inheritance can take place through routes other than the genetic material. Critics are against evolutionary biologists accepting this money and argue that evolutionary theory already embraces the best of these ideas. But others are pleased as the money should help clarify the importance of different aspects of the extended synthesis. Author: Elizabeth Pennisi

Description: To explore the distinct genotypic and phenotypic states of melanoma tumors, we applied single-cell RNA sequencing (RNA-seq) to 4645 single cells isolated from 19 patients, profiling malignant, immune, stromal, and endothelial cells. Malignant cells within the same tumor displayed transcriptional heterogeneity associated with the cell cycle, spatial context, and a drug-resistance program. In particular, all tumors harbored malignant cells from two distinct transcriptional cell states, such that tumors characterized by high levels of the MITF transcription factor also contained cells with low MITF and elevated levels of the AXL kinase. Single-cell analyses suggested distinct tumor microenvironmental patterns, including cell-to-cell interactions. Analysis of tumor-infiltrating T cells revealed exhaustion programs, their connection to T cell activation and clonal expansion, and their variability across patients. Overall, we begin to unravel the cellular ecosystem of tumors and how single-cell genomics offers insights with implications for both targeted and immune therapies.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tirosh, Itay -- Izar, Benjamin -- Prakadan, Sanjay M -- Wadsworth, Marc H 2nd -- Treacy, Daniel -- Trombetta, John J -- Rotem, Asaf -- Rodman, Christopher -- Lian, Christine -- Murphy, George -- Fallahi-Sichani, Mohammad -- Dutton-Regester, Ken -- Lin, Jia-Ren -- Cohen, Ofir -- Shah, Parin -- Lu, Diana -- Genshaft, Alex S -- Hughes, Travis K -- Ziegler, Carly G K -- Kazer, Samuel W -- Gaillard, Aleth -- Kolb, Kellie E -- Villani, Alexandra-Chloe -- Johannessen, Cory M -- Andreev, Aleksandr Y -- Van Allen, Eliezer M -- Bertagnolli, Monica -- Sorger, Peter K -- Sullivan, Ryan J -- Flaherty, Keith T -- Frederick, Dennie T -- Jane-Valbuena, Judit -- Yoon, Charles H -- Rozenblatt-Rosen, Orit -- Shalek, Alex K -- Regev, Aviv -- Garraway, Levi A -- 1U24CA180922/CA/NCI NIH HHS/ -- DP2 OD020839/OD/NIH HHS/ -- K99 CA194163/CA/NCI NIH HHS/ -- K99CA194163/CA/NCI NIH HHS/ -- P01CA163222/CA/NCI NIH HHS/ -- P30-CA14051/CA/NCI NIH HHS/ -- P50GM107618/GM/NIGMS NIH HHS/ -- R35CA197737/CA/NCI NIH HHS/ -- U54CA112962/CA/NCI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2016 Apr 8;352(6282):189-96. doi: 10.1126/science.aad0501.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Center for Cancer Precision Medicine, Dana-Farber Cancer Institute, Boston, MA 02215, USA. ; Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, Queensland, Australia. ; HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Medical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. ; Department of Surgical Oncology, Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02215, USA. Department of Surgical Oncology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA. ; Program in Therapeutic Sciences, Department of Systems Biology, Harvard Medical School, Boston, MA 02115, USA. HMS LINCS Center and Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA 02115, USA. Ludwig Center at Harvard, Boston, MA 02215, USA. ; Division of Medical Oncology, Massachusetts General Hospital Cancer Center, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Institute for Medical Engineering and Science, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA. Department of Chemistry, MIT, Cambridge, MA 02142, USA. Ragon Institute of Massachusetts General Hospital, MIT and Harvard University, Cambridge, MA 02139, USA. Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Department of Immunology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. Department of Biology and Koch Institute, MIT, Boston, MA 02142, USA. Howard Hughes Medical Institute, Chevy Chase, MD 20815, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu. ; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA. bizar@partners.org aregev@broadinstitute.org levi_garraway@dfci.harvard.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27124452" target="_blank"〉PubMed〈/a〉

Description: Computation can be performed in living cells by DNA-encoded circuits that process sensory information and control biological functions. Their construction is time-intensive, requiring manual part assembly and balancing of regulator expression. We describe a design environment, Cello, in which a user writes Verilog code that is automatically transformed into a DNA sequence. Algorithms build a circuit diagram, assign and connect gates, and simulate performance. Reliable circuit design requires the insulation of gates from genetic context, so that they function identically when used in different circuits. We used Cello to design 60 circuits forEscherichia coli(880,000 base pairs of DNA), for which each DNA sequence was built as predicted by the software with no additional tuning. Of these, 45 circuits performed correctly in every output state (up to 10 regulators and 55 parts), and across all circuits 92% of the output states functioned as predicted. Design automation simplifies the incorporation of genetic circuits into biotechnology projects that require decision-making, control, sensing, or spatial organization.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nielsen, Alec A K -- Der, Bryan S -- Shin, Jonghyeon -- Vaidyanathan, Prashant -- Paralanov, Vanya -- Strychalski, Elizabeth A -- Ross, David -- Densmore, Douglas -- Voigt, Christopher A -- P50 GM098792/GM/NIGMS NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):aac7341. doi: 10.1126/science.aac7341.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Biological Design Center, Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA. ; Biological Design Center, Department of Biomedical Engineering, Department of Electrical and Computer Engineering, Boston University, Boston, MA 02215, USA. ; Biosystems and Biomaterials Division, Material Measurement Laboratory, National Institute of Standards and Technology, Gaithersburg, MD 20817, USA. ; Synthetic Biology Center, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. cavoigt@gmail.com.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034378" target="_blank"〉PubMed〈/a〉

Description: Sequencing of exomes and genomes has revealed abundant genetic variation affecting the coding sequences of human transcription factors (TFs), but the consequences of such variation remain largely unexplored. We developed a computational, structure-based approach to evaluate TF variants for their impact on DNA binding activity and used universal protein-binding microarrays to assay sequence-specific DNA binding activity across 41 reference and 117 variant alleles found in individuals of diverse ancestries and families with Mendelian diseases. We found 77 variants in 28 genes that affect DNA binding affinity or specificity and identified thousands of rare alleles likely to alter the DNA binding activity of human sequence-specific TFs. Our results suggest that most individuals have unique repertoires of TF DNA binding activities, which may contribute to phenotypic variation.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4825693/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barrera, Luis A -- Vedenko, Anastasia -- Kurland, Jesse V -- Rogers, Julia M -- Gisselbrecht, Stephen S -- Rossin, Elizabeth J -- Woodard, Jaie -- Mariani, Luca -- Kock, Kian Hong -- Inukai, Sachi -- Siggers, Trevor -- Shokri, Leila -- Gordan, Raluca -- Sahni, Nidhi -- Cotsapas, Chris -- Hao, Tong -- Yi, Song -- Kellis, Manolis -- Daly, Mark J -- Vidal, Marc -- Hill, David E -- Bulyk, Martha L -- P50 HG004233/HG/NHGRI NIH HHS/ -- R01 HG003985/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2016 Mar 25;351(6280):1450-4. doi: 10.1126/science.aad2257. Epub 2016 Mar 24.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. ; Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. ; Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Genetics, Harvard Medical School, Boston, MA 02115, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. ; Analytic and Translational Genetics Unit, Department of Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Center for Human Genetics Research and Center for Computational and Integrative Biology, Massachusetts General Hospital, Boston, MA 02114, USA. ; Division of Genetics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA. Committee on Higher Degrees in Biophysics, Harvard University, Cambridge, MA 02138, USA. Harvard-MIT Division of Health Sciences and Technology, Harvard Medical School, Boston, MA 02115, USA. Broad Institute of Harvard and MIT, Cambridge, MA 02139, USA. Program in Biological and Biomedical Sciences, Harvard University, Cambridge, MA 02138, USA. Center for Cancer Systems Biology (CCSB), Dana-Farber Cancer Institute, Boston, MA 02215, USA. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27013732" target="_blank"〉PubMed〈/a〉

Description: Recent studies have implicated long noncoding RNAs (lncRNAs) as regulators of many important biological processes. Here we report on the identification and characterization of a lncRNA, lnc13, that harbors a celiac disease-associated haplotype block and represses expression of certain inflammatory genes under homeostatic conditions. Lnc13 regulates gene expression by binding to hnRNPD, a member of a family of ubiquitously expressed heterogeneous nuclear ribonucleoproteins (hnRNPs). Upon stimulation, lnc13 levels are reduced, thereby allowing increased expression of the repressed genes. Lnc13 levels are significantly decreased in small intestinal biopsy samples from patients with celiac disease, which suggests that down-regulation of lnc13 may contribute to the inflammation seen in this disease. Furthermore, the lnc13 disease-associated variant binds hnRNPD less efficiently than its wild-type counterpart, thus helping to explain how these single-nucleotide polymorphisms contribute to celiac disease.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Castellanos-Rubio, Ainara -- Fernandez-Jimenez, Nora -- Kratchmarov, Radomir -- Luo, Xiaobing -- Bhagat, Govind -- Green, Peter H R -- Schneider, Robert -- Kiledjian, Megerditch -- Bilbao, Jose Ramon -- Ghosh, Sankar -- R01-AI093985/AI/NIAID NIH HHS/ -- R01-DK102180/DK/NIDDK NIH HHS/ -- R01-GM067005/GM/NIGMS NIH HHS/ -- R37-AI33443/AI/NIAID NIH HHS/ -- New York, N.Y. -- Science. 2016 Apr 1;352(6281):91-5. doi: 10.1126/science.aad0467.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Microbiology and Immunology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. ; Department of Genetics, Physical Anthropology, and Animal Physiology, University of the Basque Country (UPV-EHU), BioCruces Research Institute, Leioa 48940, Basque Country, Spain. ; Department of Pathology and Cell Biology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. ; Center for Celiac Disease, Department of Medicine, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. Alexandria Center for Life Sciences, New York University School of Medicine, New York, NY 10016, USA. ; Alexandria Center for Life Sciences, New York University School of Medicine, New York, NY 10016, USA. ; Department of Cell Biology and Neuroscience, Rutgers, The State University of New Jersey, Piscataway, NJ 08854, USA. ; Department of Microbiology and Immunology, Columbia University, College of Physicians and Surgeons, New York, NY 10032, USA. sg2715@columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/27034373" target="_blank"〉PubMed〈/a〉

Description: Dinosaurs were once widely considered an evolutionary dead end without much bearing on the evolution of living animals. Yet, today it is clear that theropod dinosaurs gave rise to birds, and that dinosaurs are therefore still alive today. Similarly, placoderms, a group of extinct armored fishes, long held little or no interest to evolutionary biologists. However, discoveries from China are changing that by showing how important placoderms are to understanding the early assembly of the vertebrate body plan. On page 334 of this issue, Zhu et al. (1) report the discovery of a placoderm from Qujing in Yunnan, China, that fills a big gap in our understanding of how vertebrate jaws evolved. Author: John A. Long

Description: Repeated evolution of similar traits in organisms facing the same ecological challenges has long captured the interest of evolutionary biologists (1–4). Naturally occurring examples of “convergent evolution” offer new opportunities to ask about predictability in evolution. Do complex genomes mean that there are endless possibilities for adapting to an ecological challenge? Or must evolution target the same genes, or even the same amino acids in the same proteins, in order to increase the fitness and therefore survival of different species facing similar challenges? Natarajan et al. (5), on page 336 of this issue, provide an example of an integrated approach to answer these questions. By using a combination of genetic data with experimental tests, they show that evolution of a new protein function in response to low-oxygen, high-altitude conditions can occur through different genetic mechanisms across a wide diversity of avian species living at high and low elevations. Author: Jamie T. Bridgham

Description: Author: Sacha Vignieri

Description: Some species, such as the giraffe or bottlenose dolphin, are immediately recognizable and might seem immutable. In fact, their evolutionary stories are often more complicated. Regional populations of giraffe with distinct pelage patterns have only recently been recognized as four different species (1), and the number of species represented by what we recognize as the bottlenose dolphin was historically as many as 20, refined down to one, then two, and the question is still being resolved (2). On page 477 of this issue, de Manuel et al. (3) describe the relationship between two other iconic species in unprecedented detail, comparing whole genomes from populations of bonobo (Pan paniscus) and chimpanzee (Pan troglodytes). They report evidence for gene flow between these species, contributing to our increasing appreciation for the complexities of the process of speciation. Author: A. Rus Hoelzel

Description: In convergent evolution, different species independently acquire similar traits. Knowing whether divergent species use the same or different genetic solutions to adapt to similar selection pressures can illuminate innate constraints on underlying molecular networks. Most cases of convergence that are understood at the genetic level are relatively simple, involving one or a few genes. On page 1431 of this issue, Yeaman et al. (1) report mapping of locally adaptive genes in lodgepole pine (Pinus contorta) and interior spruce (the species complex that includes Picea engelmannii and Picea glauca) (see the photo). The authors show that many genes implicated in local adaptation are shared among the two species. Author: Angela M. Hancock

Description: Author: Annalisa VanHook

Description: Author: Sacha Vignieri

Description: Human activities alter ecosystems around the planet, often rendering environmental conditions unfavorable for plant and animal survival. In the salt marshes along North America's Atlantic coast, the influx of industrial waste has caused chemical pollutants to accumulate at lethal levels, causing the disappearance of many species from affected sites. Yet, multiple populations of the Atlantic killifish (Fundulus heteroclitus) have adapted to cope with levels of pollution orders of magnitude higher than those that members of the same species from unaffected habitats can tolerate. On page 1305 of this issue, Reid et al. (1) provide strong evidence that adaptation has occurred rapidly and through similar genetic changes in multiple populations of killifish that have independently colonized polluted habitats. Authors: Michael Tobler, Zachary W. Culumber

Description: The occurrence of Ebola virus (EBOV) in West Africa during 2013-2015 is unprecedented. Early reports suggested that in this outbreak EBOV is mutating twice as fast as previously observed, which indicates the potential for changes in transmissibility and virulence and could render current molecular diagnostics and countermeasures ineffective. We have determined additional full-length sequences from two clusters of imported EBOV infections into Mali, and we show that the nucleotide substitution rate (9.6 x 10(-4) substitutions per site per year) is consistent with rates observed in Central African outbreaks. In addition, overall variation among all genotypes observed remains low. Thus, our data indicate that EBOV is not undergoing rapid evolution in humans during the current outbreak. This finding has important implications for outbreak response and public health decisions and should alleviate several previously raised concerns.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Hoenen, T -- Safronetz, D -- Groseth, A -- Wollenberg, K R -- Koita, O A -- Diarra, B -- Fall, I S -- Haidara, F C -- Diallo, F -- Sanogo, M -- Sarro, Y S -- Kone, A -- Togo, A C G -- Traore, A -- Kodio, M -- Dosseh, A -- Rosenke, K -- de Wit, E -- Feldmann, F -- Ebihara, H -- Munster, V J -- Zoon, K C -- Feldmann, H -- Sow, S -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2015 Apr 3;348(6230):117-9. doi: 10.1126/science.aaa5646. Epub 2015 Mar 26.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, MT 59840, USA. ; Bioinformatics and Computational Biosciences Branch, NIAID, NIH, Bethesda, MD 20892, USA. ; Center of Research and Training for HIV and Tuberculosis, University of Science, Technique and Technologies of Bamako, Mali. ; World Health Organization Office, Bamako, Mali. ; Centre des Operations d'Urgence, Centre pour le Developpement des Vaccins (CVD-Mali), Centre National d'Appui a la lutte contre la Maladie, Ministere de la Sante et de l'Hygiene Publique, Bamako, Mali. ; World Health Organization Inter-Country Support Team, Ouagadougou, Burkina Faso. ; Rocky Mountain Veterinary Branch, Division of Intramural Research, NIAID, NIH, Hamilton, MT 59840, USA. ; Office of the Scientific Director, NIAID, NIH, Bethesda, MD 20895, USA. ; Laboratory of Virology, Division of Intramural Research, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Hamilton, MT 59840, USA. feldmannh@niaid.nih.gov ssow@medicine.umaryland.edu. ; Centre des Operations d'Urgence, Centre pour le Developpement des Vaccins (CVD-Mali), Centre National d'Appui a la lutte contre la Maladie, Ministere de la Sante et de l'Hygiene Publique, Bamako, Mali. feldmannh@niaid.nih.gov ssow@medicine.umaryland.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25814067" target="_blank"〉PubMed〈/a〉

Description: DNA strand exchange plays a central role in genetic recombination across all kingdoms of life, but the physical basis for these reactions remains poorly defined. Using single-molecule imaging, we found that bacterial RecA and eukaryotic Rad51 and Dmc1 all stabilize strand exchange intermediates in precise three-nucleotide steps. Each step coincides with an energetic signature (0.3 kBT) that is conserved from bacteria to humans. Triplet recognition is strictly dependent on correct Watson-Crick pairing. Rad51, RecA, and Dmc1 can all step over mismatches, but only Dmc1 can stabilize mismatched triplets. This finding provides insight into why eukaryotes have evolved a meiosis-specific recombinase. We propose that canonical Watson-Crick base triplets serve as the fundamental unit of pairing interactions during DNA recombination.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580133/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4580133/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Lee, Ja Yil -- Terakawa, Tsuyoshi -- Qi, Zhi -- Steinfeld, Justin B -- Redding, Sy -- Kwon, YoungHo -- Gaines, William A -- Zhao, Weixing -- Sung, Patrick -- Greene, Eric C -- CA146940/CA/NCI NIH HHS/ -- GM074739/GM/NIGMS NIH HHS/ -- R01 CA146940/CA/NCI NIH HHS/ -- R01 ES015252/ES/NIEHS NIH HHS/ -- R01 GM074739/GM/NIGMS NIH HHS/ -- R01ES015252/ES/NIEHS NIH HHS/ -- T32 GM007367/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Aug 28;349(6251):977-81. doi: 10.1126/science.aab2666.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. ; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. Department of Biophysics, Kyoto University, Sakyo, Kyoto, Japan. ; Department of Chemistry, Columbia University, New York, NY, USA. ; Department of Molecular Biophysics and Biochemistry, Yale University School of Medicine, New Haven, CT, USA. ; Department of Biochemistry and Molecular Biophysics, Columbia University, New York, NY, USA. Howard Hughes Medical Institute, Columbia University, New York, NY, USA. ecg2108@cumc.columbia.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26315438" target="_blank"〉PubMed〈/a〉

Description: Variation in vectorial capacity for human malaria among Anopheles mosquito species is determined by many factors, including behavior, immunity, and life history. To investigate the genomic basis of vectorial capacity and explore new avenues for vector control, we sequenced the genomes of 16 anopheline mosquito species from diverse locations spanning ~100 million years of evolution. Comparative analyses show faster rates of gene gain and loss, elevated gene shuffling on the X chromosome, and more intron losses, relative to Drosophila. Some determinants of vectorial capacity, such as chemosensory genes, do not show elevated turnover but instead diversify through protein-sequence changes. This dynamism of anopheline genes and genomes may contribute to their flexible capacity to take advantage of new ecological niches, including adapting to humans as primary hosts.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4380271/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Neafsey, Daniel E -- Waterhouse, Robert M -- Abai, Mohammad R -- Aganezov, Sergey S -- Alekseyev, Max A -- Allen, James E -- Amon, James -- Arca, Bruno -- Arensburger, Peter -- Artemov, Gleb -- Assour, Lauren A -- Basseri, Hamidreza -- Berlin, Aaron -- Birren, Bruce W -- Blandin, Stephanie A -- Brockman, Andrew I -- Burkot, Thomas R -- Burt, Austin -- Chan, Clara S -- Chauve, Cedric -- Chiu, Joanna C -- Christensen, Mikkel -- Costantini, Carlo -- Davidson, Victoria L M -- Deligianni, Elena -- Dottorini, Tania -- Dritsou, Vicky -- Gabriel, Stacey B -- Guelbeogo, Wamdaogo M -- Hall, Andrew B -- Han, Mira V -- Hlaing, Thaung -- Hughes, Daniel S T -- Jenkins, Adam M -- Jiang, Xiaofang -- Jungreis, Irwin -- Kakani, Evdoxia G -- Kamali, Maryam -- Kemppainen, Petri -- Kennedy, Ryan C -- Kirmitzoglou, Ioannis K -- Koekemoer, Lizette L -- Laban, Njoroge -- Langridge, Nicholas -- Lawniczak, Mara K N -- Lirakis, Manolis -- Lobo, Neil F -- Lowy, Ernesto -- MacCallum, Robert M -- Mao, Chunhong -- Maslen, Gareth -- Mbogo, Charles -- McCarthy, Jenny -- Michel, Kristin -- Mitchell, Sara N -- Moore, Wendy -- Murphy, Katherine A -- Naumenko, Anastasia N -- Nolan, Tony -- Novoa, Eva M -- O'Loughlin, Samantha -- Oringanje, Chioma -- Oshaghi, Mohammad A -- Pakpour, Nazzy -- Papathanos, Philippos A -- Peery, Ashley N -- Povelones, Michael -- Prakash, Anil -- Price, David P -- Rajaraman, Ashok -- Reimer, Lisa J -- Rinker, David C -- Rokas, Antonis -- Russell, Tanya L -- Sagnon, N'Fale -- Sharakhova, Maria V -- Shea, Terrance -- Simao, Felipe A -- Simard, Frederic -- Slotman, Michel A -- Somboon, Pradya -- Stegniy, Vladimir -- Struchiner, Claudio J -- Thomas, Gregg W C -- Tojo, Marta -- Topalis, Pantelis -- Tubio, Jose M C -- Unger, Maria F -- Vontas, John -- Walton, Catherine -- Wilding, Craig S -- Willis, Judith H -- Wu, Yi-Chieh -- Yan, Guiyun -- Zdobnov, Evgeny M -- Zhou, Xiaofan -- Catteruccia, Flaminia -- Christophides, George K -- Collins, Frank H -- Cornman, Robert S -- Crisanti, Andrea -- Donnelly, Martin J -- Emrich, Scott J -- Fontaine, Michael C -- Gelbart, William -- Hahn, Matthew W -- Hansen, Immo A -- Howell, Paul I -- Kafatos, Fotis C -- Kellis, Manolis -- Lawson, Daniel -- Louis, Christos -- Luckhart, Shirley -- Muskavitch, Marc A T -- Ribeiro, Jose M -- Riehle, Michael A -- Sharakhov, Igor V -- Tu, Zhijian -- Zwiebel, Laurence J -- Besansky, Nora J -- 092654/Wellcome Trust/United Kingdom -- R01 AI050243/AI/NIAID NIH HHS/ -- R01 AI063508/AI/NIAID NIH HHS/ -- R01 AI073745/AI/NIAID NIH HHS/ -- R01 AI076584/AI/NIAID NIH HHS/ -- R01 AI080799/AI/NIAID NIH HHS/ -- R01 AI104956/AI/NIAID NIH HHS/ -- R21 AI101459/AI/NIAID NIH HHS/ -- R56 AI107263/AI/NIAID NIH HHS/ -- SC1 AI109055/AI/NIAID NIH HHS/ -- U19 AI089686/AI/NIAID NIH HHS/ -- U19 AI110818/AI/NIAID NIH HHS/ -- U41 HG007234/HG/NHGRI NIH HHS/ -- U54 HG003067/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Jan 2;347(6217):1258522. doi: 10.1126/science.1258522. Epub 2014 Nov 27.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. neafsey@broadinstitute.org nbesansk@nd.edu. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Medical Entomology and Vector Control, School of Public Health and Institute of Health Researches, Tehran University of Medical Sciences, Tehran, Iran. ; George Washington University, Department of Mathematics and Computational Biology Institute, 45085 University Drive, Ashburn, VA 20147, USA. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. ; National Vector Borne Disease Control Programme, Ministry of Health, Tafea Province, Vanuatu. ; Department of Public Health and Infectious Diseases, Division of Parasitology, Sapienza University of Rome, Piazzale Aldo Moro 5, 00185 Rome, Italy. ; Department of Biological Sciences, California State Polytechnic-Pomona, 3801 West Temple Avenue, Pomona, CA 91768, USA. ; Tomsk State University, 36 Lenina Avenue, Tomsk, Russia. ; Department of Computer Science and Engineering, Eck Institute for Global Health, 211B Cushing Hall, University of Notre Dame, Notre Dame, IN 46556, USA. ; Genome Sequencing and Analysis Program, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Inserm, U963, F-67084 Strasbourg, France. CNRS, UPR9022, IBMC, F-67084 Strasbourg, France. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. ; Faculty of Medicine, Health and Molecular Science, Australian Institute of Tropical Health Medicine, James Cook University, Cairns 4870, Australia. ; Department of Life Sciences, Imperial College London, Silwood Park Campus, Ascot SL5 7PY, UK. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. ; Department of Mathematics, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada. ; Department of Entomology and Nematology, One Shields Avenue, University of California-Davis, Davis, CA 95616, USA. ; Institut de Recherche pour le Developpement, Unites Mixtes de Recherche Maladies Infectieuses et Vecteurs Ecologie, Genetique, Evolution et Controle, 911, Avenue Agropolis, BP 64501 Montpellier, France. ; Division of Biology, Kansas State University, 271 Chalmers Hall, Manhattan, KS 66506, USA. ; Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. ; Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Genomics Platform, Broad Institute, 415 Main Street, Cambridge, MA 02142, USA. ; Centre National de Recherche et de Formation sur le Paludisme, Ouagadougou 01 BP 2208, Burkina Faso. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; School of Life Sciences, University of Nevada, Las Vegas, NV 89154, USA. ; Department of Medical Research, No. 5 Ziwaka Road, Dagon Township, Yangon 11191, Myanmar. ; European Molecular Biology Laboratory, European Bioinformatics Institute, EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK. Baylor College of Medicine, 1 Baylor Plaza, Houston, TX 77030, USA. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. ; Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. Dipartimento di Medicina Sperimentale e Scienze Biochimiche, Universita degli Studi di Perugia, Perugia, Italy. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Computational Evolutionary Biology Group, Faculty of Life Sciences, University of Manchester, Oxford Road, Manchester M13 9PT, UK. ; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA 94143, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Bioinformatics Research Laboratory, Department of Biological Sciences, New Campus, University of Cyprus, CY 1678 Nicosia, Cyprus. ; Wits Research Institute for Malaria, Faculty of Health Sciences, and Vector Control Reference Unit, National Institute for Communicable Diseases of the National Health Laboratory Service, Sandringham 2131, Johannesburg, South Africa. ; National Museums of Kenya, P.O. Box 40658-00100, Nairobi, Kenya. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. ; Virginia Bioinformatics Institute, 1015 Life Science Circle, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Kenya Medical Research Institute-Wellcome Trust Research Programme, Centre for Geographic Medicine Research - Coast, P.O. Box 230-80108, Kilifi, Kenya. ; Harvard School of Public Health, Department of Immunology and Infectious Diseases, Boston, MA 02115, USA. ; Department of Entomology, 1140 East South Campus Drive, Forbes 410, University of Arizona, Tucson, AZ 85721, USA. ; Department of Medical Microbiology and Immunology, School of Medicine, University of California Davis, One Shields Avenue, Davis, CA 95616, USA. ; Department of Life Sciences, Imperial College London, South Kensington Campus, London SW7 2AZ, UK. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Department of Pathobiology, University of Pennsylvania School of Veterinary Medicine, 3800 Spruce Street, Philadelphia, PA 19104, USA. ; Regional Medical Research Centre NE, Indian Council of Medical Research, P.O. Box 105, Dibrugarh-786 001, Assam, India. ; Department of Biology, New Mexico State University, Las Cruces, NM 88003, USA. Molecular Biology Program, New Mexico State University, Las Cruces, NM 88003, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. ; Center for Human Genetics Research, Vanderbilt University Medical Center, Nashville, TN 37235, USA. Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Genetic Medicine and Development, University of Geneva Medical School, Rue Michel-Servet 1, 1211 Geneva, Switzerland. Swiss Institute of Bioinformatics, Rue Michel-Servet 1, 1211 Geneva, Switzerland. ; Department of Entomology, Texas A&M University, College Station, TX 77807, USA. ; Department of Parasitology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand. ; Fundacao Oswaldo Cruz, Avenida Brasil 4365, RJ Brazil. Instituto de Medicina Social, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil. ; School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Department of Physiology, School of Medicine, Center for Research in Molecular Medicine and Chronic Diseases, Instituto de Investigaciones Sanitarias, University of Santiago de Compostela, Santiago de Compostela, A Coruna, Spain. ; Wellcome Trust Sanger Institute, Hinxton, Cambridgeshire, CB10 1SA, UK. ; School of Natural Sciences and Psychology, Liverpool John Moores University, Liverpool L3 3AF, UK. ; Department of Cellular Biology, University of Georgia, Athens, GA 30602, USA. ; Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, 32 Vassar Street, Cambridge, MA 02139, USA. The Broad Institute of Massachusetts Institute of Technology and Harvard, 415 Main Street, Cambridge, MA 02142, USA. Department of Computer Science, Harvey Mudd College, Claremont, CA 91711, USA. ; Program in Public Health, College of Health Sciences, University of California, Irvine, Hewitt Hall, Irvine, CA 92697, USA. ; Department of Biological Sciences, Vanderbilt University, Nashville, TN 37235, USA. ; Department of Vector Biology, Liverpool School of Tropical Medicine, Pembroke Place, Liverpool, L3 5QA, UK. Malaria Programme, Wellcome Trust Sanger Institute, Cambridge CB10 1SJ, UK. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. Centre of Evolutionary and Ecological Studies (Marine Evolution and Conservation group), University of Groningen, Nijenborgh 7, NL-9747 AG Groningen, Netherlands. ; Department of Molecular and Cellular Biology, Harvard University, 16 Divinity Avenue, Cambridge, MA 02138, USA. ; Department of Biology, Indiana University, Bloomington, IN 47405, USA. School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA. ; Centers for Disease Control and Prevention, 1600 Clifton Road NE MSG49, Atlanta, GA 30329, USA. ; Department of Biology, University of Crete, 700 13 Heraklion, Greece. Institute of Molecular Biology and Biotechnology, Foundation for Research and Technology, Hellas, Nikolaou Plastira 100 GR-70013, Heraklion, Crete, Greece. Centre of Functional Genomics, University of Perugia, Perugia, Italy. ; Boston College, 140 Commonwealth Avenue, Chestnut Hill, MA 02467, USA. Biogen Idec, 14 Cambridge Center, Cambridge, MA 02142, USA. ; Laboratory of Malaria and Vector Research, National Institute of Allergy and Infectious Diseases, 12735 Twinbrook Parkway, Rockville, MD 20852, USA. ; Department of Entomology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Program of Genetics, Bioinformatics, and Computational Biology, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. Department of Biochemistry, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061, USA. ; Departments of Biological Sciences and Pharmacology, Institutes for Chemical Biology, Genetics and Global Health, Vanderbilt University and Medical Center, Nashville, TN 37235, USA. ; Eck Institute for Global Health and Department of Biological Sciences, University of Notre Dame, 317 Galvin Life Sciences Building, Notre Dame, IN 46556, USA. neafsey@broadinstitute.org nbesansk@nd.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25554792" target="_blank"〉PubMed〈/a〉

Description: Transcriptional enhancers direct precise on-off patterns of gene expression during development. To explore the basis for this precision, we conducted a high-throughput analysis of the Otx-a enhancer, which mediates expression in the neural plate of Ciona embryos in response to fibroblast growth factor (FGF) signaling and a localized GATA determinant. We provide evidence that enhancer specificity depends on submaximal recognition motifs having reduced binding affinities ("suboptimization"). Native GATA and ETS (FGF) binding sites contain imperfect matches to consensus motifs. Perfect matches mediate robust but ectopic patterns of gene expression. The native sites are not arranged at optimal intervals, and subtle changes in their spacing alter enhancer activity. Multiple tiers of enhancer suboptimization produce specific, but weak, patterns of expression, and we suggest that clusters of weak enhancers, including certain "superenhancers," circumvent this trade-off in specificity and activity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Farley, Emma K -- Olson, Katrina M -- Zhang, Wei -- Brandt, Alexander J -- Rokhsar, Daniel S -- Levine, Michael S -- GM46638/GM/NIGMS NIH HHS/ -- NS076542/NS/NINDS NIH HHS/ -- New York, N.Y. -- Science. 2015 Oct 16;350(6258):325-8. doi: 10.1126/science.aac6948.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. msl2@princeton.edu ekfarley@princeton.edu. ; Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA. Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544, USA. ; Department of Medicine, University of California, San Diego, CA 92093-0688, USA. ; Department of Chemistry, University of California, Berkeley, CA 94720-3200, USA. ; Department of Molecular and Cell Biology, Division of Genetics, Genomics and Development, Center for Integrative Genomics, University of California, Berkeley, CA 94720-3200, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26472909" target="_blank"〉PubMed〈/a〉

Description: The carnivoran giant panda has a specialized bamboo diet, to which its alimentary tract is poorly adapted. Measurements of daily energy expenditure across five captive and three wild pandas averaged 5.2 megajoules (MJ)/day, only 37.7% of the predicted value (13.8 MJ/day). For the wild pandas, the mean was 6.2 MJ/day, or 45% of the mammalian expectation. Pandas achieve this exceptionally low expenditure in part by reduced sizes of several vital organs and low physical activity. In addition, circulating levels of thyroid hormones thyroxine (T4) and triiodothyronine (T3) averaged 46.9 and 64%, respectively, of the levels expected for a eutherian mammal of comparable size. A giant panda-unique mutation in the DUOX2 gene, critical for thyroid hormone synthesis, might explain these low thyroid hormone levels. A combination of morphological, behavioral, physiological, and genetic adaptations, leading to low energy expenditure, likely enables giant pandas to survive on a bamboo diet.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Nie, Yonggang -- Speakman, John R -- Wu, Qi -- Zhang, Chenglin -- Hu, Yibo -- Xia, Maohua -- Yan, Li -- Hambly, Catherine -- Wang, Lu -- Wei, Wei -- Zhang, Jinguo -- Wei, Fuwen -- New York, N.Y. -- Science. 2015 Jul 10;349(6244):171-4. doi: 10.1126/science.aab2413.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. ; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK. ; Beijing Key Laboratory of Captive Wildlife Technologies, Beijing Zoo, Beijing, China. ; Institute of Biological and Environmental Sciences, University of Aberdeen, Aberdeen, Scotland, UK. ; State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China. ; Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China. weifw@ioz.ac.cn.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26160943" target="_blank"〉PubMed〈/a〉

Description: Cytoplasmic aggregation of TDP-43, accompanied by its nuclear clearance, is a key common pathological hallmark of amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD). However, a limited understanding of this RNA-binding protein (RBP) impedes the clarification of pathogenic mechanisms underlying TDP-43 proteinopathy. In contrast to RBPs that regulate splicing of conserved exons, we found that TDP-43 repressed the splicing of nonconserved cryptic exons, maintaining intron integrity. When TDP-43 was depleted from mouse embryonic stem cells, these cryptic exons were spliced into messenger RNAs, often disrupting their translation and promoting nonsense-mediated decay. Moreover, enforced repression of cryptic exons prevented cell death in TDP-43-deficient cells. Furthermore, repression of cryptic exons was impaired in ALS-FTD cases, suggesting that this splicing defect could potentially underlie TDP-43 proteinopathy.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Ling, Jonathan P -- Pletnikova, Olga -- Troncoso, Juan C -- Wong, Philip C -- P50AG05146/AG/NIA NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 7;349(6248):650-5. doi: 10.1126/science.aab0983.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. Department of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. ; Department of Pathology, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. Department of Neuroscience, Johns Hopkins University School of Medicine, Baltimore, MD 21205-2196, USA. wong@jhmi.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26250685" target="_blank"〉PubMed〈/a〉

Description: Bacterial adaptive immunity uses CRISPR (clustered regularly interspaced short palindromic repeats)-associated (Cas) proteins together with CRISPR transcripts for foreign DNA degradation. In type II CRISPR-Cas systems, activation of Cas9 endonuclease for DNA recognition upon guide RNA binding occurs by an unknown mechanism. Crystal structures of Cas9 bound to single-guide RNA reveal a conformation distinct from both the apo and DNA-bound states, in which the 10-nucleotide RNA "seed" sequence required for initial DNA interrogation is preordered in an A-form conformation. This segment of the guide RNA is essential for Cas9 to form a DNA recognition-competent structure that is poised to engage double-stranded DNA target sequences. We construe this as convergent evolution of a "seed" mechanism reminiscent of that used by Argonaute proteins during RNA interference in eukaryotes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Jiang, Fuguo -- Zhou, Kaihong -- Ma, Linlin -- Gressel, Saskia -- Doudna, Jennifer A -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 Jun 26;348(6242):1477-81. doi: 10.1126/science.aab1452.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA. ; Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA. ; Max Planck Institute for Biophysical Chemistry, 37077 Gottingen, Germany. ; Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720, USA. Howard Hughes Medical Institute, University of California, Berkeley, CA 94720, USA. California Institute for Quantitative Biosciences, University of California, Berkeley, CA 94720, USA. Department of Chemistry, University of California, Berkeley, CA 94720, USA. Physical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA. Innovative Genomics Initiative, University of California, Berkeley, CA 94720, USA. doudna@berkeley.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26113724" target="_blank"〉PubMed〈/a〉

Description: Transcription factors (TFs) bind specific sequences in promoter-proximal and -distal DNA elements to regulate gene transcription. RNA is transcribed from both of these DNA elements, and some DNA binding TFs bind RNA. Hence, RNA transcribed from regulatory elements may contribute to stable TF occupancy at these sites. We show that the ubiquitously expressed TF Yin-Yang 1 (YY1) binds to both gene regulatory elements and their associated RNA species across the entire genome. Reduced transcription of regulatory elements diminishes YY1 occupancy, whereas artificial tethering of RNA enhances YY1 occupancy at these elements. We propose that RNA makes a modest but important contribution to the maintenance of certain TFs at gene regulatory elements and suggest that transcription of regulatory elements produces a positive-feedback loop that contributes to the stability of gene expression programs.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720525/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4720525/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Sigova, Alla A -- Abraham, Brian J -- Ji, Xiong -- Molinie, Benoit -- Hannett, Nancy M -- Guo, Yang Eric -- Jangi, Mohini -- Giallourakis, Cosmas C -- Sharp, Phillip A -- Young, Richard A -- HG002668/HG/NHGRI NIH HHS/ -- R01 HG002668/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Nov 20;350(6263):978-81. doi: 10.1126/science.aad3346. Epub 2015 Oct 29.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. ; Massachusetts General Hospital, Harvard Medical School, Boston, MA 02114, USA. ; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. David H. Koch Institute for Integrative Cancer Research, Cambridge, MA 02140, USA. ; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA. Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA. young@wi.mit.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26516199" target="_blank"〉PubMed〈/a〉

Description: Morphinan alkaloids from the opium poppy are used for pain relief. The direction of metabolites to morphinan biosynthesis requires isomerization of (S)- to (R)-reticuline. Characterization of high-reticuline poppy mutants revealed a genetic locus, designated STORR [(S)- to (R)-reticuline] that encodes both cytochrome P450 and oxidoreductase modules, the latter belonging to the aldo-keto reductase family. Metabolite analysis of mutant alleles and heterologous expression demonstrate that the P450 module is responsible for the conversion of (S)-reticuline to 1,2-dehydroreticuline, whereas the oxidoreductase module converts 1,2-dehydroreticuline to (R)-reticuline rather than functioning as a P450 redox partner. Proteomic analysis confirmed that these two modules are contained on a single polypeptide in vivo. This modular assembly implies a selection pressure favoring substrate channeling. The fusion protein STORR may enable microbial-based morphinan production.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Winzer, Thilo -- Kern, Marcelo -- King, Andrew J -- Larson, Tony R -- Teodor, Roxana I -- Donninger, Samantha L -- Li, Yi -- Dowle, Adam A -- Cartwright, Jared -- Bates, Rachel -- Ashford, David -- Thomas, Jerry -- Walker, Carol -- Bowser, Tim A -- Graham, Ian A -- BB/K018809/1/Biotechnology and Biological Sciences Research Council/United Kingdom -- New York, N.Y. -- Science. 2015 Jul 17;349(6245):309-12. doi: 10.1126/science.aab1852. Epub 2015 Jun 25.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Centre for Novel Agricultural Products, Department of Biology, University of York, York YO10 5DD, UK. ; Bioscience Technology Facility, Department of Biology, University of York, York YO10 5DD, UK. ; GlaxoSmithKline, 1061 Mountain Highway, Post Office Box 168, Boronia, Victoria 3155, Australia.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26113639" target="_blank"〉PubMed〈/a〉

Description: The 5' leader of the HIV-1 genome contains conserved elements that direct selective packaging of the unspliced, dimeric viral RNA into assembling particles. By using a (2)H-edited nuclear magnetic resonance (NMR) approach, we determined the structure of a 155-nucleotide region of the leader that is independently capable of directing packaging (core encapsidation signal; Psi(CES)). The RNA adopts an unexpected tandem three-way junction structure, in which residues of the major splice donor and translation initiation sites are sequestered by long-range base pairing and guanosines essential for both packaging and high-affinity binding to the cognate Gag protein are exposed in helical junctions. The structure reveals how translation is attenuated, Gag binding promoted, and unspliced dimeric genomes selected, by the RNA conformer that directs packaging.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492308/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4492308/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Keane, Sarah C -- Heng, Xiao -- Lu, Kun -- Kharytonchyk, Siarhei -- Ramakrishnan, Venkateswaran -- Carter, Gregory -- Barton, Shawn -- Hosic, Azra -- Florwick, Alyssa -- Santos, Justin -- Bolden, Nicholas C -- McCowin, Sayo -- Case, David A -- Johnson, Bruce A -- Salemi, Marco -- Telesnitsky, Alice -- Summers, Michael F -- 2T34 GM008663/GM/NIGMS NIH HHS/ -- P50 GM 103297/GM/NIGMS NIH HHS/ -- P50 GM103297/GM/NIGMS NIH HHS/ -- R01 GM042561/GM/NIGMS NIH HHS/ -- R01 GM42561/GM/NIGMS NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2015 May 22;348(6237):917-21. doi: 10.1126/science.aaa9266.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Howard Hughes Medical Institute (HHMI) and Department of Chemistry and Biochemistry, University of Maryland Baltimore County (UMBC), 1000 Hilltop Circle, Baltimore, MD 21250, USA. ; Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109-5620, USA. ; Department of Chemistry and Chemical Biology, Rutgers University, Piscataway, NJ 08854, USA. ; One Moon Scientific, Incorporated, 839 Grant Avenue, Westfield, NJ 07090, USA, and City University of New York (CUNY) Advanced Science Research Center, 85 St. Nicholas Terrace, New York, NY 10031, USA. ; Department of Pathology, Immunology, and Laboratory Medicine, College of Medicine, and Emerging Pathogens Institute, University of Florida, Gainesville, FL 32610, USA. ; Department of Microbiology and Immunology, University of Michigan Medical School, Ann Arbor, MI 48109-5620, USA. summers@hhmi.umbc.edu ateles@umich.edu. ; Howard Hughes Medical Institute (HHMI) and Department of Chemistry and Biochemistry, University of Maryland Baltimore County (UMBC), 1000 Hilltop Circle, Baltimore, MD 21250, USA. summers@hhmi.umbc.edu ateles@umich.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25999508" target="_blank"〉PubMed〈/a〉

Description: The shortage of organs for transplantation is a major barrier to the treatment of organ failure. Although porcine organs are considered promising, their use has been checked by concerns about the transmission of porcine endogenous retroviruses (PERVs) to humans. Here we describe the eradication of all PERVs in a porcine kidney epithelial cell line (PK15). We first determined the PK15 PERV copy number to be 62. Using CRISPR-Cas9, we disrupted all copies of the PERV pol gene and demonstrated a 〉1000-fold reduction in PERV transmission to human cells, using our engineered cells. Our study shows that CRISPR-Cas9 multiplexability can be as high as 62 and demonstrates the possibility that PERVs can be inactivated for clinical application of porcine-to-human xenotransplantation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Yang, Luhan -- Guell, Marc -- Niu, Dong -- George, Haydy -- Lesha, Emal -- Grishin, Dennis -- Aach, John -- Shrock, Ellen -- Xu, Weihong -- Poci, Jurgen -- Cortazio, Rebeca -- Wilkinson, Robert A -- Fishman, Jay A -- Church, George -- P50 HG005550/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Nov 27;350(6264):1101-4. doi: 10.1126/science.aad1191. Epub 2015 Oct 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Genetics, Harvard Medical School, Boston, MA, USA. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, USA. eGenesis Biosciences, Boston, MA 02115, USA. gchurch@genetics.med.harvard.edu luhan.yang@egenesisbio.com. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, USA. eGenesis Biosciences, Boston, MA 02115, USA. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. College of Animal Sciences, Zhejiang University, Hangzhou 310058, China. ; Department of Genetics, Harvard Medical School, Boston, MA, USA. ; Department of Surgery, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. ; Transplant Infectious Disease and Compromised Host Program, Massachusetts General Hospital, Boston, MA 02115, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26456528" target="_blank"〉PubMed〈/a〉

Description: Most spontaneous DNA double-strand breaks (DSBs) result from replication-fork breakage. Break-induced replication (BIR), a genome rearrangement-prone repair mechanism that requires the Pol32/POLD3 subunit of eukaryotic DNA Poldelta, was proposed to repair broken forks, but how genome destabilization is avoided was unknown. We show that broken fork repair initially uses error-prone Pol32-dependent synthesis, but that mutagenic synthesis is limited to within a few kilobases from the break by Mus81 endonuclease and a converging fork. Mus81 suppresses template switches between both homologous sequences and diverged human Alu repetitive elements, highlighting its importance for stability of highly repetitive genomes. We propose that lack of a timely converging fork or Mus81 may propel genome instability observed in cancer.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mayle, Ryan -- Campbell, Ian M -- Beck, Christine R -- Yu, Yang -- Wilson, Marenda -- Shaw, Chad A -- Bjergbaek, Lotte -- Lupski, James R -- Ira, Grzegorz -- F31 NS083159/NS/NINDS NIH HHS/ -- GM080600/GM/NIGMS NIH HHS/ -- HG006542/HG/NHGRI NIH HHS/ -- NS058529/NS/NINDS NIH HHS/ -- NS083159/NS/NINDS NIH HHS/ -- R01 GM080600/GM/NIGMS NIH HHS/ -- R01 NS058529/NS/NINDS NIH HHS/ -- U54 HG006542/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2015 Aug 14;349(6249):742-7. doi: 10.1126/science.aaa8391.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. ; Department of Molecular Biology and Genetics, University of Aarhus, Aarhus 8000, Denmark. ; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Department of Pediatrics, and Human Genome Sequencing Center, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. Texas Children's Hospital, Houston, TX 77030, USA. ; Department of Molecular and Human Genetics, Baylor College of Medicine, One Baylor Plaza, Houston, TX 77030, USA. gira@bcm.edu.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26273056" target="_blank"〉PubMed〈/a〉

Description: The Protoaurignacian culture is pivotal to the debate about the timing of the arrival of modern humans in western Europe and the demise of Neandertals. However, which group is responsible for this culture remains uncertain. We investigated dental remains associated with the Protoaurignacian. The lower deciduous incisor from Riparo Bombrini is modern human, based on its morphology. The upper deciduous incisor from Grotta di Fumane contains ancient mitochondrial DNA of a modern human type. These teeth are the oldest human remains in an Aurignacian-related archaeological context, confirming that by 41,000 calendar years before the present, modern humans bearing Protoaurignacian culture spread into southern Europe. Because the last Neandertals date to 41,030 to 39,260 calendar years before the present, we suggest that the Protoaurignacian triggered the demise of Neandertals in this area.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Benazzi, S -- Slon, V -- Talamo, S -- Negrino, F -- Peresani, M -- Bailey, S E -- Sawyer, S -- Panetta, D -- Vicino, G -- Starnini, E -- Mannino, M A -- Salvadori, P A -- Meyer, M -- Paabo, S -- Hublin, J-J -- New York, N.Y. -- Science. 2015 May 15;348(6236):793-6. doi: 10.1126/science.aaa2773. Epub 2015 Apr 23.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Cultural Heritage, University of Bologna, Via degli Ariani 1, 48121 Ravenna, Italy. Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. stefano.benazzi@unibo.it. ; Department of Evolutionary Genetics, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. ; Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. ; Dipartimento di Antichita, Filosofia, Storia e Geografia, Universita di Genova, Via Balbi 2, 16126 Genova, Italy. ; Sezione di Scienze Preistoriche e Antropologiche, Dipartimento di Studi Umanistici, Corso Ercole I d'Este 32, Universita di Ferrara, 44100 Ferrara, Italy. ; Department of Human Evolution, Max Planck Institute for Evolutionary Anthropology, Deutscher Platz 6, 04103 Leipzig, Germany. Center for the Study of Human Origins, Department of Anthropology, New York University, 25 Waverly Place, New York, NY 10003, USA. ; CNR Institute of Clinical Physiology, National Research Council, Via G. Moruzzi 1, 56124 Pisa, Italy. ; Museo Archeologico del Finale, Chiostri di Santa Caterina, 17024 Finale Ligure Borgo, Italy. ; Scuola di Scienze Umanistiche, Dipartimento di Studi Storici, Universita di Torino, via S. Ottavio 20, 10124 Torino, Italy. Museo Preistorico Nazionale dei Balzi Rossi, Via Balzi Rossi 9, 18039 Ventimiglia, Italy.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25908660" target="_blank"〉PubMed〈/a〉