ALBERT

Description: Author(s): C. H. Wang, S. N. Baker, M. D. Lumsden, S. E. Nagler, W. T. Heller, G. A. Baker, P. D. Deen, L. M. D. Cranswick, Y. Su, and A. D. Christianson We have performed unpolarized and polarized neutron diffraction experiments on monodisperse 8- and 13-nm antiferromagnetic MnO nanoparticles. For the 8-nm sample, the antiferromagnetic transition temperature T N (114 K) is suppressed compared to that in the bulk material (119 K), while for the 13-nm ... [Phys. Rev. B 83, 214418] Published Wed Jun 15, 2011

Description: Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182531/" 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/PMC3182531/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International Multiple Sclerosis Genetics Consortium -- Wellcome Trust Case Control Consortium 2 -- Sawcer, Stephen -- Hellenthal, Garrett -- Pirinen, Matti -- Spencer, Chris C A -- Patsopoulos, Nikolaos A -- Moutsianas, Loukas -- Dilthey, Alexander -- Su, Zhan -- Freeman, Colin -- Hunt, Sarah E -- Edkins, Sarah -- Gray, Emma -- Booth, David R -- Potter, Simon C -- Goris, An -- Band, Gavin -- Oturai, Annette Bang -- Strange, Amy -- Saarela, Janna -- Bellenguez, Celine -- Fontaine, Bertrand -- Gillman, Matthew -- Hemmer, Bernhard -- Gwilliam, Rhian -- Zipp, Frauke -- Jayakumar, Alagurevathi -- Martin, Roland -- Leslie, Stephen -- Hawkins, Stanley -- Giannoulatou, Eleni -- D'alfonso, Sandra -- Blackburn, Hannah -- Martinelli Boneschi, Filippo -- Liddle, Jennifer -- Harbo, Hanne F -- Perez, Marc L -- Spurkland, Anne -- Waller, Matthew J -- Mycko, Marcin P -- Ricketts, Michelle -- Comabella, Manuel -- Hammond, Naomi -- Kockum, Ingrid -- McCann, Owen T -- Ban, Maria -- Whittaker, Pamela -- Kemppinen, Anu -- Weston, Paul -- Hawkins, Clive -- Widaa, Sara -- Zajicek, John -- Dronov, Serge -- Robertson, Neil -- Bumpstead, Suzannah J -- Barcellos, Lisa F -- Ravindrarajah, Rathi -- Abraham, Roby -- Alfredsson, Lars -- Ardlie, Kristin -- Aubin, Cristin -- Baker, Amie -- Baker, Katharine -- Baranzini, Sergio E -- Bergamaschi, Laura -- Bergamaschi, Roberto -- Bernstein, Allan -- Berthele, Achim -- Boggild, Mike -- Bradfield, Jonathan P -- Brassat, David -- Broadley, Simon A -- Buck, Dorothea -- Butzkueven, Helmut -- Capra, Ruggero -- Carroll, William M -- Cavalla, Paola -- Celius, Elisabeth G -- Cepok, Sabine -- Chiavacci, Rosetta -- Clerget-Darpoux, Francoise -- Clysters, Katleen -- Comi, Giancarlo -- Cossburn, Mark -- Cournu-Rebeix, Isabelle -- Cox, Mathew B -- Cozen, Wendy -- Cree, Bruce A C -- Cross, Anne H -- Cusi, Daniele -- Daly, Mark J -- Davis, Emma -- de Bakker, Paul I W -- Debouverie, Marc -- D'hooghe, Marie Beatrice -- Dixon, Katherine -- Dobosi, Rita -- Dubois, Benedicte -- Ellinghaus, David -- Elovaara, Irina -- Esposito, Federica -- Fontenille, Claire -- Foote, Simon -- Franke, Andre -- Galimberti, Daniela -- Ghezzi, Angelo -- Glessner, Joseph -- Gomez, Refujia -- Gout, Olivier -- Graham, Colin -- Grant, Struan F A -- Guerini, Franca Rosa -- Hakonarson, Hakon -- Hall, Per -- Hamsten, Anders -- Hartung, Hans-Peter -- Heard, Rob N -- Heath, Simon -- Hobart, Jeremy -- Hoshi, Muna -- Infante-Duarte, Carmen -- Ingram, Gillian -- Ingram, Wendy -- Islam, Talat -- Jagodic, Maja -- Kabesch, Michael -- Kermode, Allan G -- Kilpatrick, Trevor J -- Kim, Cecilia -- Klopp, Norman -- Koivisto, Keijo -- Larsson, Malin -- Lathrop, Mark -- Lechner-Scott, Jeannette S -- Leone, Maurizio A -- Leppa, Virpi -- Liljedahl, Ulrika -- Bomfim, Izaura Lima -- Lincoln, Robin R -- Link, Jenny -- Liu, Jianjun -- Lorentzen, Aslaug R -- Lupoli, Sara -- Macciardi, Fabio -- Mack, Thomas -- Marriott, Mark -- Martinelli, Vittorio -- Mason, Deborah -- McCauley, Jacob L -- Mentch, Frank -- Mero, Inger-Lise -- Mihalova, Tania -- Montalban, Xavier -- Mottershead, John -- Myhr, Kjell-Morten -- Naldi, Paola -- Ollier, William -- Page, Alison -- Palotie, Aarno -- Pelletier, Jean -- Piccio, Laura -- Pickersgill, Trevor -- Piehl, Fredrik -- Pobywajlo, Susan -- Quach, Hong L -- Ramsay, Patricia P -- Reunanen, Mauri -- Reynolds, Richard -- Rioux, John D -- Rodegher, Mariaemma -- Roesner, Sabine -- Rubio, Justin P -- Ruckert, Ina-Maria -- Salvetti, Marco -- Salvi, Erika -- Santaniello, Adam -- Schaefer, Catherine A -- Schreiber, Stefan -- Schulze, Christian -- Scott, Rodney J -- Sellebjerg, Finn -- Selmaj, Krzysztof W -- Sexton, David -- Shen, Ling -- Simms-Acuna, Brigid -- Skidmore, Sheila -- Sleiman, Patrick M A -- Smestad, Cathrine -- Sorensen, Per Soelberg -- Sondergaard, Helle Bach -- Stankovich, Jim -- Strange, Richard C -- Sulonen, Anna-Maija -- Sundqvist, Emilie -- Syvanen, Ann-Christine -- Taddeo, Francesca -- Taylor, Bruce -- Blackwell, Jenefer M -- Tienari, Pentti -- Bramon, Elvira -- Tourbah, Ayman -- Brown, Matthew A -- Tronczynska, Ewa -- Casas, Juan P -- Tubridy, Niall -- Corvin, Aiden -- Vickery, Jane -- Jankowski, Janusz -- Villoslada, Pablo -- Markus, Hugh S -- Wang, Kai -- Mathew, Christopher G -- Wason, James -- Palmer, Colin N A -- Wichmann, H-Erich -- Plomin, Robert -- Willoughby, Ernest -- Rautanen, Anna -- Winkelmann, Juliane -- Wittig, Michael -- Trembath, Richard C -- Yaouanq, Jacqueline -- Viswanathan, Ananth C -- Zhang, Haitao -- Wood, Nicholas W -- Zuvich, Rebecca -- Deloukas, Panos -- Langford, Cordelia -- Duncanson, Audrey -- Oksenberg, Jorge R -- Pericak-Vance, Margaret A -- Haines, Jonathan L -- Olsson, Tomas -- Hillert, Jan -- Ivinson, Adrian J -- De Jager, Philip L -- Peltonen, Leena -- Stewart, Graeme J -- Hafler, David A -- Hauser, Stephen L -- McVean, Gil -- Donnelly, Peter -- Compston, Alastair -- 068545/Z/02/Wellcome Trust/United Kingdom -- 075491/Z/04/Z/Wellcome Trust/United Kingdom -- 084702/Wellcome Trust/United Kingdom -- 085475/Wellcome Trust/United Kingdom -- 085475/B/08/Z/Wellcome Trust/United Kingdom -- 085475/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 898/Multiple Sclerosis Society/United Kingdom -- AI076544/AI/NIAID NIH HHS/ -- CA104021/CA/NCI NIH HHS/ -- G0100594/Medical Research Council/United Kingdom -- G0400017/Medical Research Council/United Kingdom -- G0700061/Medical Research Council/United Kingdom -- G0901310/Medical Research Council/United Kingdom -- G0901461/Medical Research Council/United Kingdom -- G19/2/Medical Research Council/United Kingdom -- K23N/S048869/PHS HHS/ -- NS032830/NS/NINDS NIH HHS/ -- NS049477/NS/NINDS NIH HHS/ -- NS049510/NS/NINDS NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS19142/NS/NINDS NIH HHS/ -- NS26799/NS/NINDS NIH HHS/ -- NS43559/NS/NINDS NIH HHS/ -- PDA/02/06/016/Department of Health/United Kingdom -- R01 NS026799/NS/NINDS NIH HHS/ -- R01 NS049477/NS/NINDS NIH HHS/ -- R01 NS049477-06A1/NS/NINDS NIH HHS/ -- RR020092/RR/NCRR NIH HHS/ -- RR024992/RR/NCRR NIH HHS/ -- UL1 TR000448/TR/NCATS NIH HHS/ -- Medical Research Council/United Kingdom -- England -- Nature. 2011 Aug 10;476(7359):214-9. doi: 10.1038/nature10251.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21833088" target="_blank"〉PubMed〈/a〉

Description: In increasingly fragmented landscapes, it is important to understand how mature forest affects adjacent secondary forest (forest influence). Forest influence on ecological succession of beetle communities is largely unknown. We investigated succession and forest influence using 235 m long transects across boundaries between mature and secondary forest at 15 sites, sampling a chronosequence of three forest age classes (5-10, 23-29 and 42-46 years since clearcutting) in tall eucalypt forest in Tasmania. Our results showed that ground-dwelling beetle communities showed strong successional changes, and in the oldest secondary forests, species considered indicators of mature forest had re-colonised to abundance levels similar to those observed within adjacent mature forest stands. However, species composition also showed forest influence gradients in all age classes. Forest influence was estimated to extend 13 m and 20 m in the youngest and intermediate aged secondary forests, respectively. However, the estimated effect extended to at least 176 m in the oldest secondary forest. Our environmental modelling suggests that leaf litter, microclimate and soil variables were all important in explaining the spatial variation in beetle assemblages, and the relative importance of factors varied between secondary forest age classes. Mature forest beetle communities can recolonise successfully from the edge and our results provide a basis for land managers to build mature habitat connectivity into forest mosaics typical of production forests. Our results also indicate the importance of forest influence in determining potential conservation value of older secondary forest for beetles. # doi:10.1890/14-0334.1

Description: A series of computer microtomography experiments are reported which were performed by using a third-generation synchrotron radiation source on volcanic rocks from various active hazardous volcanoes in Italy and other volcanic areas in the world. The applied technique allowed the internal structure of the investigated material to be accurately imaged at the micrometer scale and three-dimensional views of the investigated samples to be produced as well as three-dimensional quantitative measurements of textural features. Thegeometryof thevesicle (gas-filledvoid) network in volcanic products of both basaltic and trachytic compositions were particularly focused on, as vesicle textures are directly linked to the dynamics of volcano degassing. This investigation provided novel insights into modes of gas exsolution, transport and loss in magmas that were not recognized in previous studies using solely conventional two- dimensional imaging techniques. The results of this study are important to understanding the behaviour of volcanoes and can be combined with other geosciences disciplines to forecast their future activity.

Description: In press

Description: 2.3. TTC - Laboratori di chimica e fisica delle rocce

Description: JCR Journal

Description: reserved

Description: © The Author(s), 2019. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Chapman, A. S. A., Beaulieu, S. E., Colaco, A., Gebruk, A. V., Hilario, A., Kihara, T. C., Ramirez-Llodra, E., Sarrazin, J., Tunnicliffe, V., Amon, D. J., Baker, M. C., Boschen-Rose, R. E., Chen, C., Cooper, I. J., Copley, J. T., Corbari, L., Cordes, E. E., Cuvelier, D., Duperron, S., Du Preez, C., Gollner, S., Horton, T., Hourdez, S., Krylova, E. M., Linse, K., LokaBharathi, P. A., Marsh, L., Matabos, M., Mills, S. W., Mullineaux, L. S., Rapp, H. T., Reid, W. D. K., Rybakova (Goroslavskaya), E., Thomas, T. R. A., Southgate, S. J., Stohr, S., Turner, P. J., Watanabe, H. K., Yasuhara, M., & Bates, A. E. sFDvent: a global trait database for deep-sea hydrothermal-vent fauna. Global Ecology and Biogeography, 28(11), (2019): 1538-1551, doi: 10.1111/geb.12975.

Description: Motivation Traits are increasingly being used to quantify global biodiversity patterns, with trait databases growing in size and number, across diverse taxa. Despite growing interest in a trait‐based approach to the biodiversity of the deep sea, where the impacts of human activities (including seabed mining) accelerate, there is no single repository for species traits for deep‐sea chemosynthesis‐based ecosystems, including hydrothermal vents. Using an international, collaborative approach, we have compiled the first global‐scale trait database for deep‐sea hydrothermal‐vent fauna – sFDvent (sDiv‐funded trait database for the Functional Diversity of vents). We formed a funded working group to select traits appropriate to: (a) capture the performance of vent species and their influence on ecosystem processes, and (b) compare trait‐based diversity in different ecosystems. Forty contributors, representing expertise across most known hydrothermal‐vent systems and taxa, scored species traits using online collaborative tools and shared workspaces. Here, we characterise the sFDvent database, describe our approach, and evaluate its scope. Finally, we compare the sFDvent database to similar databases from shallow‐marine and terrestrial ecosystems to highlight how the sFDvent database can inform cross‐ecosystem comparisons. We also make the sFDvent database publicly available online by assigning a persistent, unique DOI. Main types of variable contained Six hundred and forty‐six vent species names, associated location information (33 regions), and scores for 13 traits (in categories: community structure, generalist/specialist, geographic distribution, habitat use, life history, mobility, species associations, symbiont, and trophic structure). Contributor IDs, certainty scores, and references are also provided. Spatial location and grain Global coverage (grain size: ocean basin), spanning eight ocean basins, including vents on 12 mid‐ocean ridges and 6 back‐arc spreading centres. Time period and grain sFDvent includes information on deep‐sea vent species, and associated taxonomic updates, since they were first discovered in 1977. Time is not recorded. The database will be updated every 5 years. Major taxa and level of measurement Deep‐sea hydrothermal‐vent fauna with species‐level identification present or in progress. Software format .csv and MS Excel (.xlsx).

Description: We would like to thank the following experts, who are not authors on this publication but made contributions to the sFDvent database: Anna Metaxas, Alexander Mironov, Jianwen Qiu (seep species contributions, to be added to a future version of the database) and Anders Warén. We would also like to thank Robert Cooke for his advice, time, and assistance in processing the raw data contributions to the sFDvent database using R. Thanks also to members of iDiv and its synthesis centre – sDiv – for much‐valued advice, support, and assistance during working‐group meetings: Doreen Brückner, Jes Hines, Borja Jiménez‐Alfaro, Ingolf Kühn and Marten Winter. We would also like to thank the following supporters of the database who contributed indirectly via early design meetings or members of their research groups: Malcolm Clark, Charles Fisher, Adrian Glover, Ashley Rowden and Cindy Lee Van Dover. Finally, thanks to the families of sFDvent working group members for their support while they were participating in meetings at iDiv in Germany. Financial support for sFDvent working group meetings was gratefully received from sDiv, the Synthesis Centre of iDiv (DFG FZT 118). ASAC was a PhD candidate funded by the SPITFIRE Doctoral Training Partnership (supported by the Natural Environmental Research Council, grant number: NE/L002531/1) and the University of Southampton at the time of submission. ASAC also thanks Dominic, Lesley, Lettice and Simon Chapman for their support throughout this project. AEB and VT are sponsored through the Canada Research Chair Programme. SEB received support from National Science Foundation Division of Environmental Biology Award #1558904 and The Joint Initiative Awards Fund from the Andrew W. Mellon Foundation. AC is supported by Program Investigador (IF/00029/2014/CP1230/CT0002) from Fundação para a Ciência e a Tecnologia (FCT). This study also had the support of Fundação para a Ciência e a Tecnologia, through the strategic project UID/MAR/04292/2013 granted to marine environmental sciences centre. Data compiled by AVG and EG were supported by Russian science foundation Grant 14‐50‐00095. AH was supported by the grant BPD/UI88/5805/2017 awarded by CESAM (UID/AMB/50017), which is financed by FCT/Ministério da Educação through national funds and co‐funded by fundo Europeu de desenvolvimento regional, within the PT2020 Partnership Agreement and Compete 2020. ERLL was partially supported by the MarMine project (247626/O30). JS was supported by Ifremer. Data on vent fauna from the East Scotia Ridge, Mid‐Cayman Spreading Centre, and Southwest Indian Ridge were obtained by UK natural environment research council Grants NE/D01249X/1, NE/F017774/1 and NE/H012087/1, respectively. REBR's contribution was supported by a Postdoctoral Fellowship at the University of Victoria, funded by the Canadian Healthy Oceans Network II Strategic Research Program (CHONe II). DC is supported by a post‐doctoral scholarship (SFRH/BPD/110278/2015) from FCT. HTR was supported by the Research Council of Norway through project number 70184227 and the KG Jebsen Centre for Deep Sea Research (University of Bergen). MY was partially supported by grants from the Research Grants Council of the Hong Kong Special Administrative Region, China (project codes: HKU 17306014, HKU 17311316).