184 research outputs found

    Variability in prey field structure drives inter-annual differences in prey encounter by a marine predator, the little penguin

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    This study was funded by Australian Research Council Linkage Grants (grant nos. LP110200603 and LP160100162), with contributions from the Taronga Conservation Society Australia.Understanding how marine predators encounter prey across patchy landscapes remains challenging due to difficulties in measuring the three-dimensional structure of pelagic prey fields at scales relevant to animal movement. We measured at-sea behaviour of a central-place forager, the little penguin (Eudyptula minor), over 5 years (2015–2019) using GPS and dive loggers. We made contemporaneous measurements of the prey field within the penguins' foraging range via boat-based acoustic surveys. We developed a prey encounter index by comparing estimates of acoustic prey density encountered along actual penguin tracks to those encountered along simulated penguin tracks with the same characteristics as real tracks but that moved randomly through the prey field. In most years, penguin tracks encountered prey better than simulated random movements greater than 99% of the time, and penguin dive depths matched peaks in the vertical distribution of prey. However, when prey was unusually sparse and/or deep, penguins had worse than random prey encounter indices, exhibited dives that mismatched depth of maximum prey density, and females had abnormally low body mass (5.3% lower than average). Reductions in prey encounters owing to decreases in the density or accessibility of prey may ultimately lead to reduced fitness and population declines in central-place foraging marine predators.Publisher PDFPeer reviewe

    High-Resolution Analysis of Coronavirus Gene Expression by RNA Sequencing and Ribosome Profiling.

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    Members of the family Coronaviridae have the largest genomes of all RNA viruses, typically in the region of 30 kilobases. Several coronaviruses, such as Severe acute respiratory syndrome-related coronavirus (SARS-CoV) and Middle East respiratory syndrome-related coronavirus (MERS-CoV), are of medical importance, with high mortality rates and, in the case of SARS-CoV, significant pandemic potential. Other coronaviruses, such as Porcine epidemic diarrhea virus and Avian coronavirus, are important livestock pathogens. Ribosome profiling is a technique which exploits the capacity of the translating ribosome to protect around 30 nucleotides of mRNA from ribonuclease digestion. Ribosome-protected mRNA fragments are purified, subjected to deep sequencing and mapped back to the transcriptome to give a global "snap-shot" of translation. Parallel RNA sequencing allows normalization by transcript abundance. Here we apply ribosome profiling to cells infected with Murine coronavirus, mouse hepatitis virus, strain A59 (MHV-A59), a model coronavirus in the same genus as SARS-CoV and MERS-CoV. The data obtained allowed us to study the kinetics of virus transcription and translation with exquisite precision. We studied the timecourse of positive and negative-sense genomic and subgenomic viral RNA production and the relative translation efficiencies of the different virus ORFs. Virus mRNAs were not found to be translated more efficiently than host mRNAs; rather, virus translation dominates host translation at later time points due to high levels of virus transcripts. Triplet phasing of the profiling data allowed precise determination of translated reading frames and revealed several translated short open reading frames upstream of, or embedded within, known virus protein-coding regions. Ribosome pause sites were identified in the virus replicase polyprotein pp1a ORF and investigated experimentally. Contrary to expectations, ribosomes were not found to pause at the ribosomal frameshift site. To our knowledge this is the first application of ribosome profiling to an RNA virus.NI was supported by a Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust, 092334/Z/10/Z). Work in the AEF lab was funded by grants from the Wellcome Trust (088789 and 106207), the U.K. Biotechnology and Biological Research Council (BBSRC) (BB/J007072/1 and BB/J015652/1), and the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No [646891]). Work in the IB laboratory was supported by the Medical Research Council (MRC) (MR/M011747/1) and the Biotechnology and Biological Sciences Research Council (BBSRC) (BB/L000334/1).This is the final version of the article. It first appeared from PLOS via http://dx.doi.org/10.1371/journal.ppat.100547

    The use of duplex-specific nuclease in ribosome profiling and a user-friendly software package for Ribo-seq data analysis.

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    Ribosome profiling is a technique that permits genome-wide, quantitative analysis of translation and has found broad application in recent years. Here we describe a modified profiling protocol and software package designed to benefit more broadly the translation community in terms of simplicity and utility. The protocol, applicable to diverse organisms, including organelles, is based largely on previously published profiling methodologies, but uses duplex-specific nuclease (DSN) as a convenient, species-independent way to reduce rRNA contamination. We show that DSN-based depletion compares favorably with other commonly used rRNA depletion strategies and introduces little bias. The profiling protocol typically produces high levels of triplet periodicity, facilitating the detection of coding sequences, including upstream, downstream, and overlapping open reading frames (ORFs) and an alternative ribosome conformation evident during termination of protein synthesis. In addition, we provide a software package that presents a set of methods for parsing ribosomal profiling data from multiple samples, aligning reads to coding sequences, inferring alternative ORFs, and plotting average and transcript-specific aspects of the data. Methods are also provided for extracting the data in a form suitable for differential analysis of translation and translational efficiency.This work was supported by an EMBL long-term postdoctoral fellowship to B.Y.C., Sir Henry Wellcome Fellowships to B.Y.C. and N.I., a Wellcome Trust PhD scholarship to J.D.J., a Wellcome Trust Fellowship to A.E.F. (088789), and UK Biotechnology and Biological Sciences Research Council grants to I.B. (BB/L000334/ 1) and A.E.F. (BB/J007072/1). Work in the Baulcombe laboratory is supported by The Gatsby Charitable Foundation and the European Research Council Advanced Investigator grant TRIBE. D.C.B. is the Royal Society Edward Penley Abraham Research Professor. We wish to thank Professor Stuart G. Siddell, University of Bristol, for providing the murine 17 clone 1 cellsThis is the final version of the article. It was first available from Cold Springs Harbor Press via http://dx.doi.org/10.1261/rna.052548.11

    Modulation of Viral Programmed Ribosomal Frameshifting and Stop Codon Readthrough by the Host Restriction Factor Shiftless

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    The product of the interferon-stimulated gene C19orf66, Shiftless (SHFL), restricts human immunodeficiency virus replication through downregulation of the efficiency of the viral gag/pol frameshifting signal. In this study, we demonstrate that bacterially expressed, purified SHFL can decrease the efficiency of programmed ribosomal frameshifting in vitro at a variety of sites, including the RNA pseudoknot-dependent signals of the coronaviruses IBV, SARS-CoV and SARS-CoV-2, and the protein-dependent stimulators of the cardioviruses EMCV and TMEV. SHFL also reduced the efficiency of stop-codon readthrough at the murine leukemia virus gag/pol signal. Using size-exclusion chromatography, we confirm the binding of the purified protein to mammalian ribosomes in vitro. Finally, through electrophoretic mobility shift assays and mutational analysis, we show that expressed SHFL has strong RNA binding activity that is necessary for full activity in the inhibition of frameshifting, but shows no clear specificity for stimulatory RNA structures

    Characterization of Ribosomal Frameshifting in Theiler's Murine Encephalomyelitis Virus.

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    Theiler's murine encephalomyelitis virus (TMEV) is a member of the genus Cardiovirus in the Picornaviridae, a family of positive-sense single-stranded RNA viruses. Previously, we demonstrated that in the related cardiovirus, Encephalomyocarditis virus, a programmed-1 ribosomal frameshift (1 PRF) occurs at a conserved G_GUU_UUU sequence within the 2B-encoding region of the polyprotein open reading frame (ORF). Here we show that-1 PRF occurs at a similar site during translation of the TMEV genome. In addition, we demonstrate that a predicted 3= RNA stem-loop structure at a noncanonical spacing downstream of the shift site is required for efficient frameshifting in TMEV and that frameshifting also requires virus infection. Mutating the G_GUU_UUU shift site to inhibit frameshifting results in an attenuated virus with reduced growth kinetics and a small-plaque phenotype. Frameshifting in the virus context was found to be extremely efficient at 74 to 82%, which, to our knowledge, is the highest frameshifting efficiency recorded to date for any virus. We propose that highly efficient-1 PRF in TMEV provides a mechanism to escape the confines of equimolar expression normally inherent in the single-polyprotein expression strategy of picornaviruses.Work in the A.E.F. lab is supported by the Wellcome Trust [088789], [106207]; and the Biotechnology and Biological Sciences Research Council [BB/J007072/1]. L.F. is supported by a Biotechnology and Biological Sciences Research Council PhD studentship.This is the final published version. It first appeared at http://jvi.highwire.org/content/early/2015/06/05/JVI.01043-15.abstract
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