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  • 1
    Publication Date: 2015-11-22
    Description: Sponges harbor a complex consortium of microbial communities living in symbiotic relationship benefiting each other through the integration of metabolites. The mechanisms influencing a successful microbial association with a sponge partner are yet to be fully understood. Here, we sequenced the genome of Pseudovibrio sp. POLY-S9 strain isolated from the intertidal marine sponge Polymastia penicillus sampled from the Atlantic coast of Portugal to identify the genomic features favoring the symbiotic relationship. The draft genome revealed an exceptionally large genome size of 6.6 Mbp compared with the previously reported genomes of the genus Pseudovibrio isolated from a coral and a sponge larva. Our genomic study detected the presence of several biosynthetic gene clusters—polyketide synthase, nonribosomal peptide synthetase and siderophore—affirming the potential ability of the genus Pseudovibrio to produce a wide variety of metabolic compounds. Moreover, we identified a repertoire of genes encoding adaptive symbioses factors (eukaryotic-like proteins), such as the ankyrin repeats, tetratrico peptide repeats, and Sel1 repeats that improve the attachment to the eukaryotic hosts and the avoidance of the host’s immune response . The genome also harbored a large number of mobile elements (~5%) and gene transfer agents, which explains the massive genome expansion and suggests a possible mechanism of horizontal gene transfer. In conclusion, the genome of POLY-S9 exhibited an increase in size, number of mobile DNA, multiple metabolite gene clusters, and secretion systems, likely to influence the genome diversification and the evolvability.
    Electronic ISSN: 1759-6653
    Topics: Biology
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  • 2
    Publication Date: 2017-07-20
    Description: The great cats of the genus Panthera comprise a recent radiation whose evolutionary history is poorly understood. Their rapid diversification poses challenges to resolving their phylogeny while offering opportunities to investigate the historical dynamics of adaptive divergence. We report the sequence, de novo assembly, and annotation of the jaguar ( Panthera onca ) genome, a novel genome sequence for the leopard ( Panthera pardus ), and comparative analyses encompassing all living Panthera species. Demographic reconstructions indicated that all of these species have experienced variable episodes of population decline during the Pleistocene, ultimately leading to small effective sizes in present-day genomes. We observed pervasive genealogical discordance across Panthera genomes, caused by both incomplete lineage sorting and complex patterns of historical interspecific hybridization. We identified multiple signatures of species-specific positive selection, affecting genes involved in craniofacial and limb development, protein metabolism, hypoxia, reproduction, pigmentation, and sensory perception. There was remarkable concordance in pathways enriched in genomic segments implicated in interspecies introgression and in positive selection, suggesting that these processes were connected. We tested this hypothesis by developing exome capture probes targeting ~19,000 Panthera genes and applying them to 30 wild-caught jaguars. We found at least two genes ( DOCK3 and COL4A5 , both related to optic nerve development) bearing significant signatures of interspecies introgression and within-species positive selection. These findings indicate that post-speciation admixture has contributed genetic material that facilitated the adaptive evolution of big cat lineages.
    Electronic ISSN: 2375-2548
    Topics: Natural Sciences in General
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  • 3
    Publication Date: 2019
    Description: 〈span〉〈div〉SUMMARY〈/div〉The Greater Geneva Basin is one of the key targets for geothermal exploration in Switzerland. Until recently, information about the subsurface structure of this region was mostly composed of well-logs, seismic reflection lines, and gravity measurements. As part of the current effort to further reduce subsurface uncertainty, and to test passive seismic methods for exploration purposes, we performed an ambient-noise tomography of the Greater Geneva Basin. We used ∼1.5 yr of continuous data collected on a temporary seismic network composed of 28 broad-band stations deployed within and around the basin. From the vertical component of the continuous noise recordings, we computed cross-correlation functions and retrieved Rayleigh-wave group-velocity dispersion curves. We then inverted the dispersion curves to obtain 2-D group-velocity maps and proceeded to a subsequent inversion step to retrieve a large-scale 3-D shear-wave velocity model of the basin. We discuss the retrieved features of the basin in the light of local geology, previously acquired geophysical data sets, and ongoing geothermal exploration. The Greater Geneva Basin is an ideal natural laboratory to test innovative geothermal exploration methods because of the substantial geophysical data sets available for comparison. While we point out the limits of ambient-noise exploration with sparse networks and current methodology, we also discuss possible ways to develop ambient-noise tomography as an affordable and efficient subsurface exploration method.〈/span〉
    Print ISSN: 2051-1965
    Electronic ISSN: 1365-246X
    Topics: Geosciences
    Published by Oxford University Press on behalf of The Deutsche Geophysikalische Gesellschaft (DGG) and the Royal Astronomical Society (RAS).
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  • 4
    Publication Date: 2012-06-08
    Description: The boreal forest is the world’s largest terrestrial biome, covering all continents in the northern hemisphere. Much research has focused on the effects of forest management and climate change on biodiversity and ecosystem level processes of the boreal forest. However, even though climate change and the increasing rate of resource exploitation are likely to intensify the arrival and establishment of exotic species with the potential to become invasive, the boreal forest continues to be viewed as inhospitable to incoming species and we have little understanding of its invasive species status. We reviewed the literature and compiled information on the current status of invasive species across all taxa present in the North American boreal forest. We found that an increasing number of exotic plants, insects, earthworms, slugs and pathogens are establishing in the boreal forest. Research is scarce and their ecological effects are poorly understood. However, given that some of the reported species represent a major driver of change in many ecosystems globally, we expect that this review will provide direction for invasive species research as well as preventative measures aimed at better understanding and conserving Earth’s largest terrestrial biome.
    Print ISSN: 0015-752X
    Electronic ISSN: 1464-3626
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition
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  • 5
    Publication Date: 2019
    Description: Pipelines have been widely used for the transportation of chemical products, mainly those related to the petroleum industry. Damage in such pipelines can produce leakage with unpredictable consequences to the environment. There are different structural health monitoring (SHM) systems such as Lamb wave, comparative vacuum, acoustic emission, etc. for monitoring such structures. However, those based on piezoelectric sensors and electromechanical impedance technique (EMI) measurements are simple and efficient, and have been applied in a wide range of structures, including pipes. A disadvantage of such technique is that temperature changes can lead to false diagnoses. To overcome this disadvantage, temperature variation compensation techniques are normally incorporated. Therefore, this work has developed a complete study applied to damage detection in pipelines, including an innovative technique for compensating the temperature effect in EMI-based SHM and the modeling of piezoceramics bonded to pipeline structures using finite elements. Experimental results were used to validate the model. Moreover, the compensation method was tested in two steel pipes—healthy and damaged—compensating the temperature effect ranging from −40 °C to +80 °C, with analysis on the frequency range from 5 kHz to 120 kHz. The simulated and experimental results showed that the studies effectively contribute to the SHM area, mainly to EMI-based techniques.
    Electronic ISSN: 1424-8220
    Topics: Chemistry and Pharmacology , Electrical Engineering, Measurement and Control Technology
    Published by MDPI
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  • 6
    Publication Date: 2014-12-17
    Description: Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4390078/" 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/PMC4390078/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Zhang, Guojie -- Li, Cai -- Li, Qiye -- Li, Bo -- Larkin, Denis M -- Lee, Chul -- Storz, Jay F -- Antunes, Agostinho -- Greenwold, Matthew J -- Meredith, Robert W -- Odeen, Anders -- Cui, Jie -- Zhou, Qi -- Xu, Luohao -- Pan, Hailin -- Wang, Zongji -- Jin, Lijun -- Zhang, Pei -- Hu, Haofu -- Yang, Wei -- Hu, Jiang -- Xiao, Jin -- Yang, Zhikai -- Liu, Yang -- Xie, Qiaolin -- Yu, Hao -- Lian, Jinmin -- Wen, Ping -- Zhang, Fang -- Li, Hui -- Zeng, Yongli -- Xiong, Zijun -- Liu, Shiping -- Zhou, Long -- Huang, Zhiyong -- An, Na -- Wang, Jie -- Zheng, Qiumei -- Xiong, Yingqi -- Wang, Guangbiao -- Wang, Bo -- Wang, Jingjing -- Fan, Yu -- da Fonseca, Rute R -- Alfaro-Nunez, Alonzo -- Schubert, Mikkel -- Orlando, Ludovic -- Mourier, Tobias -- Howard, Jason T -- Ganapathy, Ganeshkumar -- Pfenning, Andreas -- Whitney, Osceola -- Rivas, Miriam V -- Hara, Erina -- Smith, Julia -- Farre, Marta -- Narayan, Jitendra -- Slavov, Gancho -- Romanov, Michael N -- Borges, Rui -- Machado, Joao Paulo -- Khan, Imran -- Springer, Mark S -- Gatesy, John -- Hoffmann, Federico G -- Opazo, Juan C -- Hastad, Olle -- Sawyer, Roger H -- Kim, Heebal -- Kim, Kyu-Won -- Kim, Hyeon Jeong -- Cho, Seoae -- Li, Ning -- Huang, Yinhua -- Bruford, Michael W -- Zhan, Xiangjiang -- Dixon, Andrew -- Bertelsen, Mads F -- Derryberry, Elizabeth -- Warren, Wesley -- Wilson, Richard K -- Li, Shengbin -- Ray, David A -- Green, Richard E -- O'Brien, Stephen J -- Griffin, Darren -- Johnson, Warren E -- Haussler, David -- Ryder, Oliver A -- Willerslev, Eske -- Graves, Gary R -- Alstrom, Per -- Fjeldsa, Jon -- Mindell, David P -- Edwards, Scott V -- Braun, Edward L -- Rahbek, Carsten -- Burt, David W -- Houde, Peter -- Zhang, Yong -- Yang, Huanming -- Wang, Jian -- Avian Genome Consortium -- Jarvis, Erich D -- Gilbert, M Thomas P -- Wang, Jun -- DP1 OD000448/OD/NIH HHS/ -- DP1OD000448/OD/NIH HHS/ -- R01 HL087216/HL/NHLBI NIH HHS/ -- Howard Hughes Medical Institute/ -- New York, N.Y. -- Science. 2014 Dec 12;346(6215):1311-20. doi: 10.1126/science.1251385. Epub 2014 Dec 11.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Centre for Social Evolution, Department of Biology, Universitetsparken 15, University of Copenhagen, DK-2100 Copenhagen, Denmark. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. ; Royal Veterinary College, University of London, London, UK. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. ; School of Biological Sciences, University of Nebraska, Lincoln, NE 68588, USA. ; Centro de Investigacion en Ciencias del Mar y Limnologia (CIMAR)/Centro Interdisciplinar de Investigacao Marinha e Ambiental (CIIMAR), Universidade do Porto, Rua dos Bragas, 177, 4050-123 Porto, Portugal. Departamento de Biologia, Faculdade de Ciencias, Universidade do Porto, Rua do Campo Alegre, 4169-007 Porto, Portugal. ; Department of Biological Sciences, University of South Carolina, Columbia, SC, USA. ; Department of Biology and Molecular Biology, Montclair State University, Montclair, NJ 07043, USA. ; Department of Animal Ecology, Uppsala University, Norbyvagen 18D, S-752 36 Uppsala, Sweden. ; Marie Bashir Institute for Infectious Diseases and Biosecurity, Charles Perkins Centre, School of Biological Sciences and Sydney Medical School, The University of Sydney, Sydney, NSW 2006, Australia. Program in Emerging Infectious Diseases, Duke-NUS Graduate Medical School, Singapore 169857, Singapore. ; Department of Integrative Biology University of California, Berkeley, CA 94720, USA. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. College of Life Sciences, Wuhan University, Wuhan 430072, China. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. School of Bioscience and Bioengineering, South China University of Technology, Guangzhou 510006, China. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. BGI Education Center,University of Chinese Academy of Sciences,Shenzhen, 518083, China. ; Key Laboratory of Animal Models and Human Disease Mechanisms of Chinese Academy of Sciences and Yunnan Province, Kunming Institute of Zoology, Kunming, Yunnan 650223, China. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. ; Department of Neurobiology, Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA. ; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, UK. ; School of Biosciences, University of Kent, Canterbury CT2 7NJ, UK. ; Centro de Investigacion en Ciencias del Mar y Limnologia (CIMAR)/Centro Interdisciplinar de Investigacao Marinha e Ambiental (CIIMAR), Universidade do Porto, Rua dos Bragas, 177, 4050-123 Porto, Portugal. Instituto de Ciencias Biomedicas Abel Salazar (ICBAS), Universidade do Porto, Portugal. ; Department of Biology, University of California Riverside, Riverside, CA 92521, USA. ; Department of Biochemistry, Molecular Biology, Entomology and Plant Pathology, Mississippi State University, Mississippi State, MS 39762, USA. Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA. ; Instituto de Ciencias Ambientales y Evolutivas, Facultad de Ciencias, Universidad Austral de Chile, Valdivia, Chile. ; Department of Anatomy, Physiology and Biochemistry, Swedish University of Agricultural Sciences, Post Office Box 7011, S-750 07, Uppsala, Sweden. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. Department of Agricultural Biotechnology and Research Institute for Agriculture and Life Sciences, Seoul National University, Seoul 151-742, Republic of Korea. ; Interdisciplinary Program in Bioinformatics, Seoul National University, Seoul 151-742, Republic of Korea. ; Cho and Kim Genomics, Seoul National University Research Park, Seoul 151-919, Republic of Korea. ; State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing 100094, China. ; State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing 100094, China. College of Animal Science and Technology, China Agricultural University, Beijing 100094, China. ; Organisms and Environment Division, Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK. ; Organisms and Environment Division, Cardiff School of Biosciences, Cardiff University, Cardiff CF10 3AX, Wales, UK. Key Lab of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101 China. ; International Wildlife Consultants, Carmarthen SA33 5YL, Wales, UK. ; Centre for Zoo and Wild Animal Health, Copenhagen Zoo, Roskildevej 38, DK-2000 Frederiksberg, Denmark. ; Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, LA, USA. Museum of Natural Science, Louisiana State University, Baton Rouge, LA 70803, USA. ; The Genome Institute at Washington University, St. Louis, MO 63108, USA. ; College of Medicine and Forensics, Xi'an Jiaotong University, Xi'an, 710061, China. ; Institute for Genomics, Biocomputing and Biotechnology, Mississippi State University, Mississippi State, MS 39762, USA. ; Department of Biomolecular Engineering, University of California, Santa Cruz, CA 95064, USA. ; Theodosius Dobzhansky Center for Genome Bioinformatics, St. Petersburg State University, St. Petersburg, Russia. Nova Southeastern University Oceanographic Center 8000 N Ocean Drive, Dania, FL 33004, USA. ; Smithsonian Conservation Biology Institute, National Zoological Park, 1500 Remount Road, Front Royal, VA 22630, USA. ; Genetics Division, San Diego Zoo Institute for Conservation Research, 15600 San Pasqual Valley Road, Escondido, CA 92027, USA. ; Department of Vertebrate Zoology, MRC-116, National Museum of Natural History, Smithsonian Institution, Post Office Box 37012, Washington, DC 20013-7012, USA. Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. ; Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, Chinese Academy of Sciences, 1 Beichen West Road, Chaoyang District, Beijing 100101, China. Swedish Species Information Centre, Swedish University of Agricultural Sciences, Box 7007, SE-750 07 Uppsala, Sweden. ; Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. ; Department of Biochemistry & Biophysics, University of California, San Francisco, CA 94158, USA. ; Department of Organismic and Evolutionary Biology and Museum of Comparative Zoology, Harvard University, 26 Oxford Street, Cambridge, MA 02138, USA. ; Department of Biology and Genetics Institute, University of Florida, Gainesville, FL 32611, USA. ; Center for Macroecology, Evolution and Climate, the Natural History Museum of Denmark, University of Copenhagen, Universitetsparken 15, DK-2100 Copenhagen O, Denmark. Imperial College London, Grand Challenges in Ecosystems and the Environment Initiative, Silwood Park Campus, Ascot, Berkshire SL5 7PY, UK. ; Division of Genetics and Genomics, The Roslin Institute and Royal (Dick) School of Veterinary Studies, The Roslin Institute Building, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK. ; Department of Biology, New Mexico State University, Box 30001 MSC 3AF, Las Cruces, NM 88003, USA. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Macau University of Science and Technology, Avenida Wai long, Taipa, Macau 999078, China. ; Department of Neurobiology, Howard Hughes Medical Institute, Duke University Medical Center, Durham, NC 27710, USA. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; Centre for GeoGenetics, Natural History Museum of Denmark, University of Copenhagen, Oster Voldgade 5-7, 1350 Copenhagen, Denmark. Trace and Environmental DNA Laboratory, Department of Environment and Agriculture, Curtin University, Perth, Western Australia, 6102, Australia. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn. ; China National GeneBank, Beijing Genomics Institute (BGI)-Shenzhen, Shenzhen, 518083, China. Macau University of Science and Technology, Avenida Wai long, Taipa, Macau 999078, China. Department of Biology, University of Copenhagen, Ole Maaloes Vej 5, 2200 Copenhagen, Denmark. Princess Al Jawhara Center of Excellence in the Research of Hereditary Disorders, King Abdulaziz University, Jeddah 21589, Saudi Arabia. Department of Medicine, University of Hong Kong, Hong Kong. zhanggj@genomics.cn jarvis@neuro.duke.edu mtpgilbert@gmail.com wangj@genomics.cn.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/25504712" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Animals ; Biodiversity ; *Biological Evolution ; Birds/classification/*genetics/physiology ; Conserved Sequence ; Diet ; *Evolution, Molecular ; Female ; Flight, Animal ; Genes ; Genetic Variation ; *Genome ; Genomics ; Male ; Molecular Sequence Annotation ; Phylogeny ; Reproduction/genetics ; Selection, Genetic ; Sequence Analysis, DNA ; Synteny ; Vision, Ocular/genetics ; Vocalization, Animal
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 7
    Publication Date: 2006-01-10
    Description: Modern felid species descend from relatively recent (〈11 million years ago) divergence and speciation events that produced successful predatory carnivores worldwide but that have confounded taxonomic classifications. A highly resolved molecular phylogeny with divergence dates for all living cat species, derived from autosomal, X-linked, Y-linked, and mitochondrial gene segments (22,789 base pairs) and 16 fossil calibrations define eight principal lineages produced through at least 10 intercontinental migrations facilitated by sea-level fluctuations. A ghost lineage analysis indicates that available felid fossils underestimate (i.e., unrepresented basal branch length) first occurrence by an average of 76%, revealing a low representation of felid lineages in paleontological remains. The phylogenetic performance of distinct gene classes showed that Y-chromosome segments are appreciably more informative than mitochondrial DNA, X-linked, or autosomal genes in resolving the rapid Felidae species radiation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Johnson, Warren E -- Eizirik, Eduardo -- Pecon-Slattery, Jill -- Murphy, William J -- Antunes, Agostinho -- Teeling, Emma -- O'Brien, Stephen J -- N01-CO-12400/CO/NCI NIH HHS/ -- Intramural NIH HHS/ -- New York, N.Y. -- Science. 2006 Jan 6;311(5757):73-7.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Laboratory of Genomic Diversity, National Cancer Institute, Frederick, MD 21702-1201, USA. johnsonw@ncifcrf.gov〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/16400146" target="_blank"〉PubMed〈/a〉
    Keywords: Africa ; Americas ; Animals ; Asia ; *Biological Evolution ; Cats/classification/genetics ; DNA/genetics ; DNA, Mitochondrial/genetics ; Europe ; Felidae/*classification/*genetics ; Felis/classification/genetics ; Fossils ; Genes ; *Genetic Speciation ; Lynx/classification/genetics ; Panthera/classification/genetics ; Phylogeny ; Puma/classification/genetics ; X Chromosome/genetics ; Y Chromosome/genetics
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 1995-06-02
    Description: Because of instrumental sensitivity limits and stellar distances, the types of x-ray flares observable on stars have been intrinsically much more energetic than those on the sun. Such enormous events are a useful extrapolation of the solar phenomenon if the underlying assumption is correct that they form a continuous sequence involving similar physical processes as on the sun. The Advanced Satellite for Cosmology and Astrophysics (ASCA), with its greater sensitivity and high-energy response, is now able to test this hypothesis. Direct comparison with solar flares measured by the x-ray-monitoring Geostationary Operational Environmental Satellites (GOES) is possible. The detection of flares on Proxima Centauri that correspond to GOES M-class events on the sun are reported.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Haisch, B -- Antunes, A -- Schmitt, J H -- New York, N.Y. -- Science. 1995 Jun 2;268(5215):1327-9.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17778978" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2014-02-12
    Description: All adult tissues, including the lung, have some capacity to self-repair or regenerate through the replication and differentiation of stem cells resident within these organs. While lung resident stem cells are an obvious candidate cell therapy for lung diseases, limitations exist regarding our knowledge of the biology of these cells. In contrast, there is considerable interest in the therapeutic potential of exogenous cells, particularly mesenchymal stem/stromal cells (MSCs), for lung diseases. Bone marrow derived-MSCs are the most studied cell therapy for these diseases. Preclinical studies demonstrate promising results using MSCs for diverse lung disorders, including emphysema, bronchopulmonary dysplasia, fibrosis, and acute respiratory distress syndrome. This mini-review will summarize ongoing clinical trials using MSCs in lung diseases, critically examine the data supporting their use for this purpose, and discuss the next steps in the translational pathway for MSC therapy of lung diseases. J. Cell. Biochem. © 2014 Wiley Periodicals, Inc.
    Electronic ISSN: 0091-7419
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Published by Wiley
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  • 10
    Publication Date: 2017-02-25
    Description: Energy & Fuels DOI: 10.1021/acs.energyfuels.6b03360
    Print ISSN: 0887-0624
    Electronic ISSN: 1520-5029
    Topics: Chemistry and Pharmacology , Energy, Environment Protection, Nuclear Power Engineering , Process Engineering, Biotechnology, Nutrition Technology
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