@article{DentonOfmanShpritsetal.2019,
  author    = {Denton, Richard E. and Ofman, L. and Shprits, Yuri Y. and Bortnik, J. and Millan, R. M. and Rodger, C. J. and da Silva, C. L. and Rogers, B. N. and Hudson, M. K. and Liu, K. and Min, K. and Glocer, A. and Komar, C.},
  title     = {Pitch Angle Scattering of Sub-MeV Relativistic Electrons by Electromagnetic Ion Cyclotron Waves},
  series = {Journal of geophysical research : Space physics},
  volume    = {124},
  journal   = {Journal of geophysical research : Space physics},
  number    = {7},
  publisher = {American Geophysical Union},
  address   = {Washington},
  issn      = {2169-9402},
  doi       = {10.1029/2018JA026384},
  pages     = {5610 -- 5626},
  year      = {2019},
  abstract  = {Electromagnetic ion cyclotron (EMIC) waves have long been considered to be a significant loss mechanism for relativistic electrons. This has most often been attributed to resonant interactions with the highest amplitude waves. But recent observations have suggested that the dominant energy of electrons precipitated to the atmosphere may often be relatively low, less than 1 MeV, whereas the minimum resonant energy of the highest amplitude waves is often greater than 2 MeV. Here we use relativistic electron test particle simulations in the wavefields of a hybrid code simulation of EMIC waves in dipole geometry in order to show that significant pitch angle scattering can occur due to interaction with low-amplitude short-wavelength EMIC waves. In the case we examined, these waves are in the H band (at frequencies above the He+ gyrofrequency), even though the highest amplitude waves were in the He band frequency range (below the He+ gyrofrequency). We also present wave power distributions for 29 EMIC simulations in straight magnetic field line geometry that show that the high wave number portion of the spectrum is in every case mostly due to the H band waves. Though He band waves are often associated with relativistic electron precipitation, it is possible that the He band waves do not directly scatter the sub-megaelectron volts (sub-MeV) electrons, but that the presence of He band waves is associated with high plasma density which lowers the minimum resonant energy so that these electrons can more easily resonate with the H band waves.},
  language  = {en}
}
@article{MiddeldorpMahajanHorikoshietal.2019,
  author    = {Middeldorp, Christel M. and Mahajan, Anubha and Horikoshi, Momoko and Robertson, Neil R. and Beaumont, Robin N. and Bradfield, Jonathan P. and Bustamante, Mariona and Cousminer, Diana L. and Day, Felix R. and De Silva, N. Maneka and Guxens, Monica and Mook-Kanamori, Dennis O. and St Pourcain, Beate and Warrington, Nicole M. and Adair, Linda S. and Ahlqvist, Emma and Ahluwalia, Tarunveer Singh and Almgren, Peter and Ang, Wei and Atalay, Mustafa and Auvinen, Juha and Bartels, Meike and Beckmann, Jacques S. and Bilbao, Jose Ramon and Bond, Tom and Borja, Judith B. and Cavadino, Alana and Charoen, Pimphen and Chen, Zhanghua and Coin, Lachlan and Cooper, Cyrus and Curtin, John A. and Custovic, Adnan and Das, Shikta and Davies, Gareth E. and Dedoussis, George V. and Duijts, Liesbeth and Eastwood, Peter R. and Eliasen, Anders U. and Elliott, Paul and Eriksson, Johan G. and Estivill, Xavier and Fadista, Joao and Fedko, Iryna O. and Frayling, Timothy M. and Gaillard, Romy and Gauderman, W. James and Geller, Frank and Gilliland, Frank and Gilsanz, Vincente and Granell, Raquel and Grarup, Niels and Groop, Leif and Hadley, Dexter and Hakonarson, Hakon and Hansen, Torben and Hartman, Catharina A. and Hattersley, Andrew T. and Hayes, M. Geoffrey and Hebebrand, Johannes and Heinrich, Joachim and Helgeland, Oyvind and Henders, Anjali K. and Henderson, John and Henriksen, Tine B. and Hirschhorn, Joel N. and Hivert, Marie-France and Hocher, Berthold and Holloway, John W. and Holt, Patrick and Hottenga, Jouke-Jan and Hypponen, Elina and Iniguez, Carmen and Johansson, Stefan and Jugessur, Astanand and Kahonen, Mika and Kalkwarf, Heidi J. and Kaprio, Jaakko and Karhunen, Ville and Kemp, John P. and Kerkhof, Marjan and Koppelman, Gerard H. and Korner, Antje and Kotecha, Sailesh and Kreiner-Moller, Eskil and Kulohoma, Benard and Kumar, Ashish and Kutalik, Zoltan and Lahti, Jari and Lappe, Joan M. and Larsson, Henrik and Lehtimaki, Terho and Lewin, Alexandra M. and Li, Jin and Lichtenstein, Paul and Lindgren, Cecilia M. and Lindi, Virpi and Linneberg, Allan and Liu, Xueping and Liu, Jun and Lowe, William L. and Lundstrom, Sebastian and Lyytikainen, Leo-Pekka and Ma, Ronald C. W. and Mace, Aurelien and Magi, Reedik and Magnus, Per and Mamun, Abdullah A. and Mannikko, Minna and Martin, Nicholas G. and Mbarek, Hamdi and McCarthy, Nina S. and Medland, Sarah E. and Melbye, Mads and Melen, Erik and Mohlke, Karen L. and Monnereau, Claire and Morgen, Camilla S. and Morris, Andrew P. and Murray, Jeffrey C. and Myhre, Ronny and Najman, Jackob M. and Nivard, Michel G. and Nohr, Ellen A. and Nolte, Ilja M. and Ntalla, Ioanna and Oberfield, Sharon E. and Oken, Emily and Oldehinkel, Albertine J. and Pahkala, Katja and Palviainen, Teemu and Panoutsopoulou, Kalliope and Pedersen, Oluf and Pennell, Craig E. and Pershagen, Goran and Pitkanen, Niina and Plomin, Robert and Power, Christine and Prasad, Rashmi B. and Prokopenko, Inga and Pulkkinen, Lea and Raikkonen, Katri and Raitakari, Olli T. and Reynolds, Rebecca M. and Richmond, Rebecca C. and Rivadeneira, Fernando and Rodriguez, Alina and Rose, Richard J. and Salem, Rany and Santa-Marina, Loreto and Saw, Seang-Mei and Schnurr, Theresia M. and Scott, James G. and Selzam, Saskia and Shepherd, John A. and Simpson, Angela and Skotte, Line and Sleiman, Patrick M. A. and Snieder, Harold and Sorensen, Thorkild I. A. and Standl, Marie and Steegers, Eric A. P. and Strachan, David P. and Straker, Leon and Strandberg, Timo and Taylor, Michelle and Teo, Yik-Ying and Thiering, Elisabeth and Torrent, Maties and Tyrrell, Jessica and Uitterlinden, Andre G. and van Beijsterveldt, Toos and van der Most, Peter J. and van Duijn, Cornelia M. and Viikari, Jorma and Vilor-Tejedor, Natalia and Vogelezang, Suzanne and Vonk, Judith M. and Vrijkotte, Tanja G. M. and Vuoksimaa, Eero and Wang, Carol A. and Watkins, William J. and Wichmann, H-Erich and Willemsen, Gonneke and Williams, Gail M. and Wilson, James F. and Wray, Naomi R. and Xu, Shujing and Xu, Cheng-Jian and Yaghootkar, Hanieh and Yi, Lu and Zafarmand, Mohammad Hadi and Zeggini, Eleftheria and Zemel, Babette S. and Hinney, Anke and Lakka, Timo A. and Whitehouse, Andrew J. O. and Sunyer, Jordi and Widen, Elisabeth E. and Feenstra, Bjarke and Sebert, Sylvain and Jacobsson, Bo and Njolstad, Pal R. and Stoltenberg, Camilla and Smith, George Davey and Lawlor, Debbie A. and Paternoster, Lavinia and Timpson, Nicholas J. and Ong, Ken K. and Bisgaard, Hans and Bonnelykke, Klaus and Jaddoe, Vincent W. V. and Tiemeier, Henning and Jarvelin, Marjo-Riitta and Evans, David M. and Perry, John R. B. and Grant, Struan F. A. and Boomsma, Dorret I. and Freathy, Rachel M. and McCarthy, Mark I. and Felix, Janine F.},
  title     = {The Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia},
  series = {European journal of epidemiology},
  volume    = {34},
  journal   = {European journal of epidemiology},
  number    = {3},
  publisher = {Springer},
  address   = {Dordrecht},
  organization    = {EArly Genetics Lifecourse EGG Consortium EGG Membership EAGLE Membership},
  issn      = {0393-2990},
  doi       = {10.1007/s10654-019-00502-9},
  pages     = {279 -- 300},
  year      = {2019},
  abstract  = {The impact of many unfavorable childhood traits or diseases, such as low birth weight and mental disorders, is not limited to childhood and adolescence, as they are also associated with poor outcomes in adulthood, such as cardiovascular disease. Insight into the genetic etiology of childhood and adolescent traits and disorders may therefore provide new perspectives, not only on how to improve wellbeing during childhood, but also how to prevent later adverse outcomes. To achieve the sample sizes required for genetic research, the Early Growth Genetics (EGG) and EArly Genetics and Lifecourse Epidemiology (EAGLE) consortia were established. The majority of the participating cohorts are longitudinal population-based samples, but other cohorts with data on early childhood phenotypes are also involved. Cohorts often have a broad focus and collect(ed) data on various somatic and psychiatric traits as well as environmental factors. Genetic variants have been successfully identified for multiple traits, for example, birth weight, atopic dermatitis, childhood BMI, allergic sensitization, and pubertal growth. Furthermore, the results have shown that genetic factors also partly underlie the association with adult traits. As sample sizes are still increasing, it is expected that future analyses will identify additional variants. This, in combination with the development of innovative statistical methods, will provide detailed insight on the mechanisms underlying the transition from childhood to adult disorders. Both consortia welcome new collaborations. Policies and contact details are available from the corresponding authors of this manuscript and/or the consortium websites.},
  language  = {en}
}
@article{NunesNesiAlseekhdeOliveiraSilvaetal.2019,
  author    = {Nunes-Nesi, Adriano and Alseekh, Saleh and de Oliveira Silva, Franklin Magnum and Omranian, Nooshin and Lichtenstein, Gabriel and Mirnezhad, Mohammad and Romero Gonzalez, Roman R. and Sabio y Garcia, Julia and Conte, Mariana and Leiss, Kirsten A. and Klinkhamer, Peter Gerardus Leonardus and Nikoloski, Zoran and Carrari, Fernando and Fernie, Alisdair R.},
  title     = {Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds},
  series = {Metabolomics},
  volume    = {15},
  journal   = {Metabolomics},
  number    = {46},
  publisher = {Springer},
  address   = {New York},
  issn      = {1573-3882},
  doi       = {10.1007/s11306-019-1503-8},
  pages     = {13},
  year      = {2019},
  abstract  = {IntroductionTo date, most studies of natural variation and metabolite quantitative trait loci (mQTL) in tomato have focused on fruit metabolism, leaving aside the identification of genomic regions involved in the regulation of leaf metabolism.ObjectiveThis study was conducted to identify leaf mQTL in tomato and to assess the association of leaf metabolites and physiological traits with the metabolite levels from other tissues.MethodsThe analysis of components of leaf metabolism was performed by phenotypying 76 tomato ILs with chromosome segments of the wild species Solanum pennellii in the genetic background of a cultivated tomato (S. lycopersicum) variety M82. The plants were cultivated in two different environments in independent years and samples were harvested from mature leaves of non-flowering plants at the middle of the light period. The non-targeted metabolite profiling was obtained by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). With the data set obtained in this study and already published metabolomics data from seed and fruit, we performed QTL mapping, heritability and correlation analyses.ResultsChanges in metabolite contents were evident in the ILs that are potentially important with respect to stress responses and plant physiology. By analyzing the obtained data, we identified 42 positive and 76 negative mQTL involved in carbon and nitrogen metabolism.ConclusionsOverall, these findings allowed the identification of S. lycopersicum genome regions involved in the regulation of leaf primary carbon and nitrogen metabolism, as well as the association of leaf metabolites with metabolites from seeds and fruits.},
  language  = {en}
}
@article{TiegsCostelloIskenetal.2019,
  author    = {Tiegs, Scott D. and Costello, David M. and Isken, Mark W. and Woodward, Guy and McIntyre, Peter B. and Gessner, Mark O. and Chauvet, Eric and Griffiths, Natalie A. and Flecker, Alex S. and Acuna, Vicenc and Albarino, Ricardo and Allen, Daniel C. and Alonso, Cecilia and Andino, Patricio and Arango, Clay and Aroviita, Jukka and Barbosa, Marcus V. M. and Barmuta, Leon A. and Baxter, Colden V. and Bell, Thomas D. C. and Bellinger, Brent and Boyero, Luz and Brown, Lee E. and Bruder, Andreas and Bruesewitz, Denise A. and Burdon, Francis J. and Callisto, Marcos and Canhoto, Cristina and Capps, Krista A. and Castillo, Maria M. and Clapcott, Joanne and Colas, Fanny and Colon-Gaud, Checo and Cornut, Julien and Crespo-Perez, Veronica and Cross, Wyatt F. and Culp, Joseph M. and Danger, Michael and Dangles, Olivier and de Eyto, Elvira and Derry, Alison M. and Diaz Villanueva, Veronica and Douglas, Michael M. and Elosegi, Arturo and Encalada, Andrea C. and Entrekin, Sally and Espinosa, Rodrigo and Ethaiya, Diana and Ferreira, Veronica and Ferriol, Carmen and Flanagan, Kyla M. and Fleituch, Tadeusz and Shah, Jennifer J. Follstad and Frainer, Andre and Friberg, Nikolai and Frost, Paul C. and Garcia, Erica A. and Lago, Liliana Garcia and Garcia Soto, Pavel Ernesto and Ghate, Sudeep and Giling, Darren P. and Gilmer, Alan and Goncalves, Jose Francisco and Gonzales, Rosario Karina and Graca, Manuel A. S. and Grace, Mike and Grossart, Hans-Peter and Guerold, Francois and Gulis, Vlad and Hepp, Luiz U. and Higgins, Scott and Hishi, Takuo and Huddart, Joseph and Hudson, John and Imberger, Samantha and Iniguez-Armijos, Carlos and Iwata, Tomoya and Janetski, David J. and Jennings, Eleanor and Kirkwood, Andrea E. and Koning, Aaron A. and Kosten, Sarian and Kuehn, Kevin A. and Laudon, Hjalmar and Leavitt, Peter R. and Lemes da Silva, Aurea L. and Leroux, Shawn J. and Leroy, Carri J. and Lisi, Peter J. and MacKenzie, Richard and Marcarelli, Amy M. and Masese, Frank O. and Mckie, Brendan G. and Oliveira Medeiros, Adriana and Meissner, Kristian and Milisa, Marko and Mishra, Shailendra and Miyake, Yo and Moerke, Ashley and Mombrikotb, Shorok and Mooney, Rob and Moulton, Tim and Muotka, Timo and Negishi, Junjiro N. and Neres-Lima, Vinicius and Nieminen, Mika L. and Nimptsch, Jorge and Ondruch, Jakub and Paavola, Riku and Pardo, Isabel and Patrick, Christopher J. and Peeters, Edwin T. H. M. and Pozo, Jesus and Pringle, Catherine and Prussian, Aaron and Quenta, Estefania and Quesada, Antonio and Reid, Brian and Richardson, John S. and Rigosi, Anna and Rincon, Jose and Risnoveanu, Geta and Robinson, Christopher T. and Rodriguez-Gallego, Lorena and Royer, Todd V. and Rusak, James A. and Santamans, Anna C. and Selmeczy, Geza B. and Simiyu, Gelas and Skuja, Agnija and Smykla, Jerzy and Sridhar, Kandikere R. and Sponseller, Ryan and Stoler, Aaron and Swan, Christopher M. and Szlag, David and Teixeira-de Mello, Franco and Tonkin, Jonathan D. and Uusheimo, Sari and Veach, Allison M. and Vilbaste, Sirje and Vought, Lena B. M. and Wang, Chiao-Ping and Webster, Jackson R. and Wilson, Paul B. and Woelfl, Stefan and Xenopoulos, Marguerite A. and Yates, Adam G. and Yoshimura, Chihiro and Yule, Catherine M. and Zhang, Yixin X. and Zwart, Jacob A.},
  title     = {Global patterns and drivers of ecosystem functioning in rivers and riparian zones},
  series = {Science Advances},
  volume    = {5},
  journal   = {Science Advances},
  number    = {1},
  publisher = {American Assoc. for the Advancement of Science},
  address   = {Washington},
  issn      = {2375-2548},
  doi       = {10.1126/sciadv.aav0486},
  pages     = {8},
  year      = {2019},
  abstract  = {River ecosystems receive and process vast quantities of terrestrial organic carbon, the fate of which depends strongly on microbial activity. Variation in and controls of processing rates, however, are poorly characterized at the global scale. In response, we used a peer-sourced research network and a highly standardized carbon processing assay to conduct a global-scale field experiment in greater than 1000 river and riparian sites. We found that Earth's biomes have distinct carbon processing signatures. Slow processing is evident across latitudes, whereas rapid rates are restricted to lower latitudes. Both the mean rate and variability decline with latitude, suggesting temperature constraints toward the poles and greater roles for other environmental drivers (e.g., nutrient loading) toward the equator. These results and data set the stage for unprecedented "next-generation biomonitoring" by establishing baselines to help quantify environmental impacts to the functioning of ecosystems at a global scale.},
  language  = {en}
}