Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

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Global distribution of earthworm diversity
Phillips, Helen R.P. ; Guerra, Carlos A. ; Bartz, Marie L.C. ; Briones, Maria J.I. ; Brown, George ; Crowther, Thomas W. ; Ferlian, Olga ; Gongalsky, Konstantin B. ; Hoogen, Johan Van Den; Krebs, Julia ; Orgiazzi, Alberto ; Routh, Devin ; Schwarz, Benjamin ; Bach, Elizabeth M. ; Bennett, Joanne ; Brose, Ulrich ; Decaëns, Thibaud ; König-Ries, Birgitta ; Loreau, Michel ; Mathieu, Jérôme ; Mulder, Christian ; Putten, Wim H. Van Der; Ramirez, Kelly S. ; Rillig, Matthias C. ; Russell, David ; Rutgers, Michiel ; Thakur, Madhav P. ; Vries, Franciska T. De; Wall, Diana H. ; Wardle, David A. ; Arai, Miwa ; Ayuke, Fredrick O. ; Baker, Geoff H. ; Beauséjour, Robin ; Bedano, José C. ; Birkhofer, Klaus ; Blanchart, Eric ; Blossey, Bernd ; Bolger, Thomas ; Bradley, Robert L. ; Callaham, Mac A. ; Capowiez, Yvan ; Caulfield, Mark E. ; Choi, Amy ; Crotty, Felicity V. ; Dávalos, Andrea ; Diaz Cosin, Darío J. ; Dominguez, Anahí ; Duhour, Andrés Esteban ; Eekeren, Nick Van; Emmerling, Christoph ; Falco, Liliana B. ; Fernández, Rosa ; Fonte, Steven J. ; Fragoso, Carlos ; Franco, André L.C. ; Fugère, Martine ; Fusilero, Abegail T. ; Gholami, Shaieste ; Gundale, Michael J. ; Gutiérrez Lopez, Monica ; Hackenberger, Davorka K. ; Hernández, Luis M. ; Hishi, Takuo ; Holdsworth, Andrew R. ; Holmstrup, Martin ; Hopfensperger, Kristine N. ; Lwanga, Esperanza Huerta ; Huhta, Veikko ; Hurisso, Tunsisa T. ; Iannone, Basil V. ; Iordache, Madalina ; Joschko, Monika ; Kaneko, Nobuhiro ; Kanianska, Radoslava ; Keith, Aidan M. ; Kelly, Courtland A. ; Kernecker, Maria L. ; Klaminder, Jonatan ; Koné, Armand W. ; Kooch, Yahya ; Kukkonen, Sanna T. ; Lalthanzara, H. ; Lammel, Daniel R. ; Lebedev, Iurii M. ; Li, Yiqing ; Jesus Lidon, Juan B. ; Lincoln, Noa K. ; Loss, Scott R. ; Marichal, Raphael ; Matula, Radim ; Moos, Jan Hendrik ; Moreno, Gerardo ; Mor n-Ríos, Alejandro ; Muys, Bart ; Neirynck, Johan ; Norgrove, Lindsey ; Novo, Marta ; Nuutinen, Visa ; Nuzzo, Victoria ; Mujeeb Rahman, P. ; Pansu, Johan ; Paudel, Shishir ; Pérès, Guénola ; Pérez-Camacho, Lorenzo ; Piñeiro, Raúl ; Ponge, Jean François ; Rashid, Muhammad Imtiaz ; Rebollo, Salvador ; Rodeiro-Iglesias, Javier ; Rodríguez, Miguel ; Roth, Alexander M. ; Rousseau, Guillaume X. ; Rozen, Anna ; Sayad, Ehsan ; Schaik, Loes Van; Scharenbroch, Bryant C. ; Schirrmann, Michael ; Schmidt, Olaf ; Schröder, Boris ; Seeber, Julia ; Shashkov, Maxim P. ; Singh, Jaswinder ; Smith, Sandy M. ; Steinwandter, Michael ; Talavera, José A. ; Trigo, Dolores ; Tsukamoto, Jiro ; Valença, Anne W. De; Vanek, Steven J. ; Virto, Iñigo ; Wackett, Adrian A. ; Warren, Matthew W. ; Wehr, Nathaniel H. ; Whalen, Joann K. ; Wironen, Michael B. ; Wolters, Volkmar ; Zenkova, Irina V. ; Zhang, Weixin ; Cameron, Erin K. ; Eisenhauer, Nico - \ 2019
Science 366 (2019)6464. - ISSN 0036-8075 - p. 480 - 485.

Soil organisms, including earthworms, are a key component of terrestrial ecosystems. However, little is known about their diversity, their distribution, and the threats affecting them. We compiled a global dataset of sampled earthworm communities from 6928 sites in 57 countries as a basis for predicting patterns in earthworm diversity, abundance, and biomass. We found that local species richness and abundance typically peaked at higher latitudes, displaying patterns opposite to those observed in aboveground organisms. However, high species dissimilarity across tropical locations may cause diversity across the entirety of the tropics to be higher than elsewhere. Climate variables were found to be more important in shaping earthworm communities than soil properties or habitat cover. These findings suggest that climate change may have serious implications for earthworm communities and for the functions they provide.

Do parties make a difference? A review of partisan effects on health and the welfare state
Falkenbach, Michelle ; Bekker, Marleen ; Greer, Scott L. - \ 2019
European Journal of Public Health (2019). - ISSN 1101-1262 - 10 p.
Background
Do political parties matter to health? Do they affect population health either directly or through welfare states’ social policies and the eligibility, affordability and quality of health systems? And if they do, how? These are crucial questions if we are to understand health politics or shape public health policy, particularly given the changing landscape of political parties, party dominance in the executive and the mediating influence of the legislature.
Methods
Using a systematic approach, this review examines 107 peer-reviewed articles and books published after 1978 focusing on high-income countries asking the overarching question: Do political parties matter to health and the welfare state?

Results
The literature relating parties to health directly was surprisingly thin, thus, the welfare state was used as a ‘proxy’ variable. An overwhelming majority of the literature sample suggests that Left parties are inclined to expand the welfare state without cutting benefits, while the Right does not expand and tends to reduce benefits. There was an inflection in the 1980s when Left parties shifted from expansion to maintaining the status quo.
Conclusion
Considering current health trends in the form of measles outbreaks, the ‘Deaths of Despair’, the rise of previous eradicated infectious diseases and the declining health expectancy rates in some Western countries as well as the rise of Populist Radical Right parties in office we question the current partisanship thesis that political parties matter less and less.
Author Correction: Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, Evan ; Rideout, Jai Ram ; Dillon, Matthew R. ; Bokulich, Nicholas A. ; Abnet, Christian C. ; Al-Ghalith, Gabriel A. ; Alexander, Harriet ; Alm, Eric J. ; Arumugam, Manimozhiyan ; Asnicar, Francesco ; Bai, Yang ; Bisanz, Jordan E. ; Bittinger, Kyle ; Brejnrod, Asker ; Brislawn, Colin J. ; Brown, C.T. ; Callahan, Benjamin J. ; Caraballo-Rodríguez, Andrés Mauricio ; Chase, John ; Cope, Emily K. ; Silva, Ricardo Da; Diener, Christian ; Dorrestein, Pieter C. ; Douglas, Gavin M. ; Durall, Daniel M. ; Duvallet, Claire ; Edwardson, Christian F. ; Ernst, Madeleine ; Estaki, Mehrbod ; Fouquier, Jennifer ; Gauglitz, Julia M. ; Gibbons, Sean M. ; Gibson, Deanna L. ; Gonzalez, Antonio ; Gorlick, Kestrel ; Guo, Jiarong ; Hillmann, Benjamin ; Holmes, Susan ; Holste, Hannes ; Huttenhower, Curtis ; Huttley, Gavin A. ; Janssen, Stefan ; Jarmusch, Alan K. ; Jiang, Lingjing ; Kaehler, Benjamin D. ; Kang, Kyo Bin ; Keefe, Christopher R. ; Keim, Paul ; Kelley, Scott T. ; Knights, Dan ; Koester, Irina ; Kosciolek, Tomasz ; Kreps, Jorden ; Langille, Morgan G.I. ; Lee, Joslynn ; Ley, Ruth ; Liu, Yong Xin ; Loftfield, Erikka ; Lozupone, Catherine ; Maher, Massoud ; Marotz, Clarisse ; Martin, Bryan D. ; McDonald, Daniel ; McIver, Lauren J. ; Melnik, Alexey V. ; Metcalf, Jessica L. ; Morgan, Sydney C. ; Morton, Jamie T. ; Naimey, Ahmad Turan ; Navas-Molina, Jose A. ; Nothias, Louis Felix ; Orchanian, Stephanie B. ; Pearson, Talima ; Peoples, Samuel L. ; Petras, Daniel ; Preuss, Mary Lai ; Pruesse, Elmar ; Rasmussen, Lasse Buur ; Rivers, Adam ; Robeson, Michael S. ; Rosenthal, Patrick ; Segata, Nicola ; Shaffer, Michael ; Shiffer, Arron ; Sinha, Rashmi ; Song, Se Jin ; Spear, John R. ; Swafford, Austin D. ; Thompson, Luke R. ; Torres, Pedro J. ; Trinh, Pauline ; Tripathi, Anupriya ; Turnbaugh, Peter J. ; Ul-Hasan, Sabah ; Hooft, Justin J.J. van der; Vargas, Fernando ; Vázquez-Baeza, Yoshiki ; Vogtmann, Emily ; Hippel, Max von; Walters, William ; Wan, Yunhu ; Wang, Mingxun ; Warren, Jonathan ; Weber, Kyle C. ; Williamson, Charles H.D. ; Willis, Amy D. ; Xu, Zhenjiang Zech ; Zaneveld, Jesse R. ; Zhang, Yilong ; Zhu, Qiyun ; Knight, Rob ; Caporaso, J.G. - \ 2019
Nature Biotechnology (2019). - ISSN 1087-0156

In the version of this article initially published, some reference citations were incorrect. The three references to Jupyter Notebooks should have cited Kluyver et al. instead of Gonzalez et al. The reference to Qiita should have cited Gonzalez et al. instead of Schloss et al. The reference to mothur should have cited Schloss et al. instead of McMurdie & Holmes. The reference to phyloseq should have cited McMurdie & Holmes instead of Huber et al. The reference to Bioconductor should have cited Huber et al. instead of Franzosa et al. And the reference to the biobakery suite should have cited Franzosa et al. instead of Kluyver et al. The errors have been corrected in the HTML and PDF versions of the article.

Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2
Bolyen, Evan ; Rideout, Jai Ram ; Dillon, Matthew R. ; Bokulich, Nicholas A. ; Abnet, Christian C. ; Al-Ghalith, Gabriel A. ; Alexander, Harriet ; Alm, Eric J. ; Arumugam, Manimozhiyan ; Asnicar, Francesco ; Bai, Yang ; Bisanz, Jordan E. ; Bittinger, Kyle ; Brejnrod, Asker ; Brislawn, Colin J. ; Brown, Titus C. ; Callahan, Benjamin J. ; Caraballo-Rodríguez, Andrés Mauricio ; Chase, John ; Cope, Emily K. ; Silva, Ricardo da; Diener, Christian ; Dorrestein, Pieter C. ; Douglas, Gavin M. ; Durall, Daniel M. ; Duvallet, Claire ; Edwardson, Christian F. ; Ernst, Madeleine ; Estaki, Mehrbod ; Fouquier, Jennifer ; Gauglitz, Julia M. ; Gibbons, Sean M. ; Gibson, Deanna L. ; Gonzalez, Antonio ; Gorlick, Kestrel ; Guo, Jiarong ; Hillmann, Benjamin ; Holmes, Susan ; Holste, Hannes ; Huttenhower, Curtis ; Huttley, Gavin A. ; Janssen, Stefan ; Jarmusch, Alan K. ; Jiang, Lingjing ; Kaehler, Benjamin D. ; Kang, Kyo Bin ; Keefe, Christopher R. ; Keim, Paul ; Kelley, Scott T. ; Knights, Dan ; Koester, Irina ; Kosciolek, Tomasz ; Kreps, Jorden ; Langille, Morgan G.I. ; Lee, Joslynn ; Ley, Ruth ; Liu, Yong Xin ; Loftfield, Erikka ; Lozupone, Catherine ; Maher, Massoud ; Marotz, Clarisse ; Martin, Bryan D. ; McDonald, Daniel ; McIver, Lauren J. ; Melnik, Alexey V. ; Metcalf, Jessica L. ; Morgan, Sydney C. ; Morton, Jamie T. ; Naimey, Ahmad Turan ; Navas-Molina, Jose A. ; Nothias, Louis Felix ; Orchanian, Stephanie B. ; Pearson, Talima ; Peoples, Samuel L. ; Petras, Daniel ; Preuss, Mary Lai ; Pruesse, Elmar ; Rasmussen, Lasse Buur ; Rivers, Adam ; Robeson, Michael S. ; Rosenthal, Patrick ; Segata, Nicola ; Shaffer, Michael ; Shiffer, Arron ; Sinha, Rashmi ; Song, Se Jin ; Spear, John R. ; Swafford, Austin D. ; Thompson, Luke R. ; Torres, Pedro J. ; Trinh, Pauline ; Tripathi, Anupriya ; Turnbaugh, Peter J. ; Ul-Hasan, Sabah ; Hooft, Justin J.J. van der; Vargas, Fernando ; Vázquez-Baeza, Yoshiki ; Vogtmann, Emily ; Hippel, Max von; Walters, William ; Wan, Yunhu ; Wang, Mingxun ; Warren, Jonathan ; Weber, Kyle C. ; Williamson, Charles H.D. ; Willis, Amy D. ; Xu, Zhenjiang Zech ; Zaneveld, Jesse R. ; Zhang, Yilong ; Zhu, Qiyun ; Knight, Rob ; Caporaso, J.G. - \ 2019
Nature Biotechnology 37 (2019)8. - ISSN 1087-0156 - p. 852 - 857.
Twenty-three unsolved problems in hydrology (UPH)–a community perspective
Blöschl, Günter ; Bierkens, Marc F.P. ; Chambel, Antonio ; Cudennec, Christophe ; Destouni, Georgia ; Fiori, Aldo ; Kirchner, James W. ; McDonnell, Jeffrey J. ; Savenije, Hubert H.G. ; Sivapalan, Murugesu ; Stumpp, Christine ; Toth, Elena ; Volpi, Elena ; Carr, Gemma ; Lupton, Claire ; Salinas, Josè ; Széles, Borbála ; Viglione, Alberto ; Aksoy, Hafzullah ; Allen, Scott T. ; Amin, Anam ; Andréassian, Vazken ; Arheimer, Berit ; Aryal, Santosh K. ; Baker, Victor ; Bardsley, Earl ; Barendrecht, Marlies H. ; Bartosova, Alena ; Batelaan, Okke ; Berghuijs, Wouter R. ; Beven, Keith ; Blume, Theresa ; Bogaard, Thom ; Borges de Amorim, Pablo ; Böttcher, Michael E. ; Boulet, Gilles ; Breinl, Korbinian ; Brilly, Mitja ; Brocca, Luca ; Buytaert, Wouter ; Castellarin, Attilio ; Castelletti, Andrea ; Chen, Xiaohong ; Chen, Yangbo ; Chen, Yuanfang ; Chifflard, Peter ; Claps, Pierluigi ; Clark, Martyn P. ; Collins, Adrian L. ; Croke, Barry ; Dathe, Annette ; David, Paula C. ; Barros, Felipe P.J. de; Rooij, Gerrit de; Baldassarre, Giuliano Di; Driscoll, Jessica M. ; Duethmann, Doris ; Dwivedi, Ravindra ; Eris, Ebru ; Farmer, William H. ; Feiccabrino, James ; Ferguson, Grant ; Ferrari, Ennio ; Ferraris, Stefano ; Fersch, Benjamin ; Finger, David ; Foglia, Laura ; Fowler, Keirnan ; Gartsman, Boris ; Gascoin, Simon ; Gaume, Eric ; Gelfan, Alexander ; Geris, Josie ; Gharari, Shervan ; Gleeson, Tom ; Glendell, Miriam ; Gonzalez Bevacqua, Alena ; González-Dugo, María P. ; Grimaldi, Salvatore ; Gupta, A.B. ; Guse, Björn ; Han, Dawei ; Hannah, David ; Harpold, Adrian ; Haun, Stefan ; Heal, Kate ; Helfricht, Kay ; Herrnegger, Mathew ; Hipsey, Matthew ; Hlaváčiková, Hana ; Hohmann, Clara ; Holko, Ladislav ; Hopkinson, Christopher ; Hrachowitz, Markus ; Illangasekare, Tissa H. ; Inam, Azhar ; Innocente, Camyla ; Istanbulluoglu, Erkan ; Jarihani, Ben ; Kalantari, Zahra ; Kalvans, Andis ; Khanal, Sonu ; Khatami, Sina ; Kiesel, Jens ; Kirkby, Mike ; Knoben, Wouter ; Kochanek, Krzysztof ; Kohnová, Silvia ; Kolechkina, Alla ; Krause, Stefan ; Kreamer, David ; Kreibich, Heidi ; Kunstmann, Harald ; Lange, Holger ; Liberato, Margarida L.R. ; Lindquist, Eric ; Link, Timothy ; Liu, Junguo ; Loucks, Daniel Peter ; Luce, Charles ; Mahé, Gil ; Makarieva, Olga ; Malard, Julien ; Mashtayeva, Shamshagul ; Maskey, Shreedhar ; Mas-Pla, Josep ; Mavrova-Guirguinova, Maria ; Mazzoleni, Maurizio ; Mernild, Sebastian ; Misstear, Bruce Dudley ; Montanari, Alberto ; Müller-Thomy, Hannes ; Nabizadeh, Alireza ; Nardi, Fernando ; Neale, Christopher ; Nesterova, Nataliia ; Nurtaev, Bakhram ; Odongo, Vincent O. ; Panda, Subhabrata ; Pande, Saket ; Pang, Zhonghe ; Papacharalampous, Georgia ; Perrin, Charles ; Pfister, Laurent ; Pimentel, Rafael ; Polo, María J. ; Post, David ; Prieto Sierra, Cristina ; Ramos, Maria Helena ; Renner, Maik ; Reynolds, José Eduardo ; Ridolfi, Elena ; Rigon, Riccardo ; Riva, Monica ; Robertson, David E. ; Rosso, Renzo ; Roy, Tirthankar ; Sá, João H.M. ; Salvadori, Gianfausto ; Sandells, Mel ; Schaefli, Bettina ; Schumann, Andreas ; Scolobig, Anna ; Seibert, Jan ; Servat, Eric ; Shafiei, Mojtaba ; Sharma, Ashish ; Sidibe, Moussa ; Sidle, Roy C. ; Skaugen, Thomas ; Smith, Hugh ; Spiessl, Sabine M. ; Stein, Lina ; Steinsland, Ingelin ; Strasser, Ulrich ; Su, Bob ; Szolgay, Jan ; Tarboton, David ; Tauro, Flavia ; Thirel, Guillaume ; Tian, Fuqiang ; Tong, Rui ; Tussupova, Kamshat ; Tyralis, Hristos ; Uijlenhoet, Remko ; Beek, Rens van; Ent, Ruud J. van der; Ploeg, Martine van der; Loon, Anne F. Van; Meerveld, Ilja van; Nooijen, Ronald van; Oel, Pieter R. van; Vidal, Jean Philippe ; Freyberg, Jana von; Vorogushyn, Sergiy ; Wachniew, Przemyslaw ; Wade, Andrew J. ; Ward, Philip ; Westerberg, Ida K. ; White, Christopher ; Wood, Eric F. ; Woods, Ross ; Xu, Zongxue ; Yilmaz, Koray K. ; Zhang, Yongqiang - \ 2019
Hydrological Sciences Journal 64 (2019)10. - ISSN 0262-6667 - p. 1141 - 1158.
hydrology - interdisciplinary - knowledge gaps - research agenda - science questions

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused on the process-based understanding of hydrological variability and causality at all space and time scales. Increased attention to environmental change drives a new emphasis on understanding how change propagates across interfaces within the hydrological system and across disciplinary boundaries. In particular, the expansion of the human footprint raises a new set of questions related to human interactions with nature and water cycle feedbacks in the context of complex water management problems. We hope that this reflection and synthesis of the 23 unsolved problems in hydrology will help guide research efforts for some years to come.

Predicting the spatial dynamics of Wolbachia infections in Aedes aegypti arbovirus vector populations in heterogeneous landscapes
Hancock, Penelope A. ; Ritchie, Scott A. ; Koenraadt, Constantianus J.M. ; Scott, Thomas W. ; Hoffmann, Ary A. ; Godfray, Charles - \ 2019
Journal of Applied Ecology 56 (2019)7. - ISSN 0021-8901 - p. 1674 - 1686.
arbovirus - dengue - gene drive - spatial spread - wAlbB - wMel - wMelPop - Zika

A promising strategy for reducing the transmission of dengue and other arboviral human diseases by Aedes aegypti mosquito vector populations involves field introductions of the endosymbiotic bacteria Wolbachia. Wolbachia infections inhibit viral transmission by the mosquito, and can spread between mosquito hosts to reach high frequencies in the vector population. Wolbachia spreads by maternal transmission, and spread dynamics can be variable and highly dependent on natural mosquito population dynamics, population structure and fitness components. We develop a mathematical model of an A. aegypti metapopulation that incorporates empirically validated relationships describing density-dependent mosquito fitness components. We assume that density dependent relationships differ across subpopulations, and construct heterogeneous landscapes for which model-predicted patterns of variation in mosquito abundance and demography approximate those observed in field populations. We then simulate Wolbachia release strategies similar to that used in field trials. We show that our model can produce rates of spatial spread of Wolbachia similar to those observed following field releases. We then investigate how different types of spatio-temporal variation in mosquito habitat, as well as different fitness costs incurred by Wolbachia on the mosquito host, influence predicted spread rates. We find that fitness costs reduce spread rates more strongly when the habitat landscape varies temporally due to stochastic and seasonal processes. Synthesis and applications: Our empirically based modelling approach represents effects of environmental heterogeneity on the spatial spread of Wolbachia. The models can assist in interpreting observed spread patterns following field releases and in designing suitable release strategies for targeting spatially heterogeneous vector populations.

Strategies for robust and accurate experimental approaches to quantify nanomaterial bioaccumulation across a broad range of organisms
Petersen, Elijah J. ; Mortimer, Monika ; Burgess, Robert M. ; Handy, Richard ; Hanna, Shannon ; Ho, Kay T. ; Johnson, Monique ; Loureiro, Susana ; Selck, Henriette ; Scott-Fordsmand, Janeck J. ; Spurgeon, David ; Unrine, Jason ; Brink, Nico W. Van Den; Wang, Ying ; White, Jason ; Holden, Patricia - \ 2019
Environmental Science: Nano covers the benefits... 6 (2019)6. - ISSN 2051-8153 - p. 1619 - 1656.

One of the key components for environmental risk assessment of engineered nanomaterials (ENMs) is data on bioaccumulation potential. Accurately measuring bioaccumulation can be critical for regulatory decision-making regarding material hazard and risk, and for understanding the mechanism of toxicity. This perspective provides expert guidance for performing ENM bioaccumulation measurements across a broad range of test organisms and species. To accomplish this aim, we critically evaluated ENM bioaccumulation within three categories of organisms: single-celled species, multicellular species excluding plants, and multicellular plants. For aqueous exposures of suspended single-celled and small multicellular species, it is critical to perform a robust procedure to separate suspended ENMs and small organisms to avoid overestimating bioaccumulation. For many multicellular organisms, it is essential to differentiate between the ENMs adsorbed to external surfaces or in the digestive tract and the amount absorbed across epithelial tissues. For multicellular plants, key considerations include how exposure route and the role of the rhizosphere may affect the quantitative measurement of uptake, and that the efficiency of washing procedures to remove loosely attached ENMs to the roots is not well understood. Within each organism category, case studies are provided to illustrate key methodological considerations for conducting robust bioaccumulation experiments for different species within each major group. The full scope of ENM bioaccumulation measurements and interpretations are discussed including conducting the organism exposure, separating organisms from the ENMs in the test media after exposure, analytical methods to quantify ENMs in the tissues or cells, and modeling the ENM bioaccumulation results. One key finding to improve bioaccumulation measurements was the critical need for further analytical method development to identify and quantify ENMs in complex matrices. Overall, the discussion, suggestions, and case studies described herein will help improve the robustness of ENM bioaccumulation studies.

Toll-like receptors TLR2 and TLR4 block the replication of pancreatic β cells in diet-induced obesity
Ji, Yewei ; Sun, Shengyi ; Shrestha, Neha ; Darragh, Laurel B. ; Shirakawa, Jun ; Xing, Yuan ; He, Yi ; Carboneau, Bethany A. ; Kim, Hana ; An, Duo ; Ma, Minglin ; Oberholzer, Jose ; Soleimanpour, Scott A. ; Gannon, Maureen ; Liu, Chengyang ; Naji, Ali ; Kulkarni, Rohit N. ; Wang, Yong ; Kersten, Sander ; Qi, Ling - \ 2019
Nature Immunology 20 (2019)6. - ISSN 1529-2908 - p. 677 - 686.

Consumption of a high-energy Western diet triggers mild adaptive β cell proliferation to compensate for peripheral insulin resistance; however, the underlying molecular mechanism remains unclear. In the present study we show that the toll-like receptors TLR2 and TLR4 inhibited the diet-induced replication of β cells in mice and humans. The combined, but not the individual, loss of TLR2 and TLR4 increased the replication of β cells, but not that of α cells, leading to enlarged β cell area and hyperinsulinemia in diet-induced obesity. Loss of TLR2 and TLR4 increased the nuclear abundance of the cell cycle regulators cyclin D2 and Cdk4 in a manner dependent on the signaling mediator Erk. These data reveal a regulatory mechanism controlling the proliferation of β cells in diet-induced obesity and suggest that selective targeting of the TLR2/TLR4 pathways may reverse β cell failure in patients with diabetes.

Soil Salinity Limits Plant Shade Avoidance
Hayes, Scott ; Pantazopoulou, Chrysoula K. ; Gelderen, Kasper van; Reinen, Emilie ; Tween, Adrian Louis ; Sharma, Ashutosh ; Vries, Michel de; Prat, Salomé ; Schuurink, Robert C. ; Testerink, Christa ; Pierik, Ronald - \ 2019
Current Biology 29 (2019)10. - ISSN 0960-9822 - p. 1669 - 1676.e4.
abscisic acid - brassinosteroids - phytochrome - phytohormones - PIF - plant photobiology - salt response - salt stress

Global food production is set to keep increasing despite a predicted decrease in total arable land [1]. To achieve higher production, denser planting will be required on increasingly degraded soils. When grown in dense stands, crops elongate and raise their leaves in an effort to reach sunlight, a process termed shade avoidance [2]. Shade is perceived by a reduction in the ratio of red (R) to far-red (FR) light and results in the stabilization of a class of transcription factors known as PHYTOCHROME INTERACTING FACTORS (PIFs) [3, 4]. PIFs activate the expression of auxin biosynthesis genes [4, 5] and enhance auxin sensitivity [6], which promotes cell-wall loosening and drives elongation growth. Despite our molecular understanding of shade-induced growth, little is known about how this developmental program is integrated with other environmental factors. Here, we demonstrate that low levels of NaCl in soil strongly impair the ability of plants to respond to shade. This block is dependent upon abscisic acid (ABA) signaling and the canonical ABA signaling pathway. Low R:FR light enhances brassinosteroid (BR) signaling through BRASSINOSTEROID SIGNALING KINASE 5 (BSK5) and leads to the activation of BRI1 EMS SUPPRESSOR 1 (BES1). ABA inhibits BSK5 upregulation and interferes with GSK3-like kinase inactivation by the BR pathway, thus leading to a suppression of BES1:PIF function. By demonstrating a link between light, ABA-, and BR-signaling pathways, this study provides an important step forward in our understanding of how multiple environmental cues are integrated into plant development. Intensively farmed crops often experience multiple stresses simultaneously. Here, Hayes et al. show that low-level soil salinity suppresses shade avoidance in plants. Through investigation of the mechanisms underlying this trait, they uncover a regulatory pathway that converges at the level of brassinosteroid signaling.

Improving environmental risk assessments of chemicals: Steps towards evidence-based ecotoxicology
Martin, Olwenn V. ; Adams, Julie ; Beasley, Amy ; Belanger, Scott ; Breton, Roger L. ; Brock, Theo C.M. ; Buonsante, Vito A. ; Galay Burgos, Malyka ; Green, John ; Guiney, Patrick D. ; Hall, Tilghman ; Hanson, Mark ; Harris, Meagan J. ; Henry, Tala R. ; Huggett, Duane ; Junghans, Marion ; Laskowski, Ryszard ; Maack, Gerd ; Moermond, Caroline T.A. ; Panter, Grace ; Pease, Anita ; Poulsen, Veronique ; Roberts, Mike ; Rudén, Christina ; Schlekat, Christian E. ; Schoeters, Ilse ; Solomon, Keith R. ; Staveley, Jane ; Stubblefield, Bill ; Sumpter, John P. ; Warne, Michael S.J. ; Wentsel, Randall ; Wheeler, James R. ; Wolff, Brian A. ; Yamazaki, Kunihiko ; Zahner, Holly ; Ågerstrand, Marlene - \ 2019
Environment International 128 (2019). - ISSN 0160-4120 - p. 210 - 217.
Chemical safety - Decision-making - Ecological risk assessment - Ecotoxicology - Environmental risk assessment - Evidence-based
Global environmental changes impact soil hydraulic functions through biophysical feedbacks
Robinson, David A. ; Hopmans, Jan W. ; Filipovic, Vilim ; Ploeg, Martine van der; Lebron, Inma ; Jones, Scott B. ; Reinsch, Sabine ; Jarvis, Nick ; Tuller, Markus - \ 2019
Global Change Biology 25 (2019)6. - ISSN 1354-1013 - p. 1895 - 1904.
biophysical feedbacks - environmental change - hydraulic - infiltration - soil physics - soil water content - state shift - water repellency

Although only representing 0.05% of global freshwater, or 0.001% of all global water, soil water supports all terrestrial biological life. Soil moisture behaviour in most models is constrained by hydraulic parameters that do not change. Here we argue that biological feedbacks from plants, macro-fauna and the microbiome influence soil structure, and thus the soil hydraulic parameters and the soil water content signals we observe. Incorporating biological feedbacks into soil hydrological models is therefore important for understanding environmental change and its impacts on ecosystems. We anticipate that environmental change will accelerate and modify soil hydraulic function. Increasingly, we understand the vital role that soil moisture exerts on the carbon cycle and other environmental threats such as heatwaves, droughts and floods, wildfires, regional precipitation patterns, disease regulation and infrastructure stability, in addition to agricultural production. Biological feedbacks may result in changes to soil hydraulic function that could be irreversible, resulting in alternative stable states (ASS) of soil moisture. To explore this, we need models that consider all the major feedbacks between soil properties and soil-plant-faunal-microbial-atmospheric processes, which is something we currently do not have. Therefore, a new direction is required to incorporate a dynamic description of soil structure and hydraulic property evolution into soil-plant-atmosphere, or land surface, models that consider feedbacks from land use and climate drivers of change, so as to better model ecosystem dynamics.

Buying directly from farmers: Tactics of St. Petersburg consumers
Gromasheva, Olga - \ 2019
Demokratizatsiya 27 (2019)1. - ISSN 1074-6846 - p. 101 - 128.

This article explores informal practices in the food sector. The practices of St. Petersburg consumers who buy food directly from local farmers via various short food supply chains (on-farm sales, collective purchasing, street trade, etc.) are analyzed in the framework of James Scott's concepts of "everyday resistance" and "moral economy" and Michel de Certeau's notion of "tactics." Consumers' tactics are explored, and informants' attitudes toward conventional retail chains and state agencies are compared to their attitudes to local farmers.

Addendum: The FAIR Guiding Principles for scientific data management and stewardship
Wilkinson, Mark D. ; Dumontier, Michel ; Aalbersberg, Ijsbrand Jan ; Appleton, Gabrielle ; Axton, Myles ; Baak, Arie ; Blomberg, Niklas ; Boiten, Jan Willem ; Silva Santos, Luiz Bonino Da; Bourne, Philip E. ; Bouwman, Jildau ; Brookes, Anthony J. ; Clark, Tim ; Crosas, Mercè ; Dillo, Ingrid ; Dumon, Olivier ; Edmunds, Scott ; Evelo, Chris T. ; Finkers, Richard ; Gonzalez-Beltran, Alejandra ; Gray, Alasdair J.G. ; Groth, Paul ; Goble, Carole ; Grethe, Jeffrey S. ; Heringa, Jaap ; Hoen, Peter A.C. 't; Hooft, Rob ; Kuhn, Tobias ; Kok, Ruben ; Kok, Joost ; Lusher, Scott J. ; Martone, Maryann E. ; Mons, Albert ; Packer, Abel L. ; Persson, Bengt ; Rocca-Serra, Philippe ; Roos, Marco ; Schaik, Rene van; Sansone, Susanna Assunta ; Schultes, Erik ; Sengstag, Thierry ; Slater, Ted ; Strawn, George ; Swertz, Morris A. ; Thompson, Mark ; Lei, Johan van der; Mulligen, Erik van; Velterop, Jan ; Waagmeester, Andra ; Wittenburg, Peter ; Wolstencroft, Katherine ; Zhao, Jun ; Mons, Barend - \ 2019
Scientific Data 6 (2019). - ISSN 2052-4463

Defining resilient pigs after a PRRS challenge using activity and feeding data from accelerometers
Zande, Lisette van der; Dunkelberger, Jenelle R. ; Rodenburg, T.B. ; Mathur, Pramod K. ; Cairns, W.J. ; Keyes, Michael C. ; Knol, E.F. ; Dee, Scott A. ; Little, Erin A. - \ 2019
In: Trade-offs in science – keeping the balance. - Wageningen University & Research - p. 48 - 48.
Comparison of Pesticide Exposure in Honey Bees (Hymenoptera : Apidae) and Bumble Bees (Hymenoptera: Apidae): Implications for Risk Assessments
Gradish, Angela E. ; Steen, Jozef Van Der; Scott-Dupree, Cynthia D. ; Cabrera, Ana R. ; Cutler, G.C. ; Goulson, Dave ; Klein, Olaf ; Lehmann, David M. ; Lückmann, Johannes ; O'Neill, Bridget ; Raine, Nigel E. ; Sharma, Bibek ; Thompson, Helen - \ 2019
Environmental Entomology 48 (2019)1. - ISSN 0046-225X - p. 12 - 21.
bumble bee - honey bee - pesticide exposure - risk assessment

To date, regulatory pesticide risk assessments have relied on the honey bee (Apis mellifera L.) (Hymenoptera: Apidae) as a surrogate test species for estimating the risk of pesticide exposure to all bee species. However, honey bees and non-Apis bees may differ in their susceptibility and exposure to pesticides. In 2017, a workshop ('Pesticide Exposure Assessment Paradigm for Non-Apis Bees') was held to assess if honey bee risk assessment frameworks are reflective of non-Apis bee pesticide exposure. In this article, we summarize the workshop discussions on bumble bees (Bombus spp.). We review the life history and foraging behavior of bumble bees and honey bees and discuss how these traits may influence routes and levels of exposure for both taxa. Overall, the major pesticide exposure routes for bumble bees and honey bees are similar; however, bumble bees face additional exposure routes (direct exposure of foraging queens and exposure of larvae and adults to soil residues). Furthermore, bumble bees may receive comparatively higher pesticide doses via contact or oral exposure. We conclude that honey bee pesticide risk assessments may not always be protective of bumble bees, especially queens, in terms of exposure. Data needed to reliably quantify pesticide exposure for bumble bees (e.g., food consumption rates, soil residue levels) are lacking. Addressing these knowledge gaps will be crucial before bumble bee exposure can be incorporated into the pesticide risk assessment process. Because bumble bees exhibit appreciable interspecific variation in colony and behavioral characteristics, data relevant to pesticide exposure should be generated for multiple species.

Taxonomy of the order Bunyavirales : second update 2018
Maes, Piet ; Adkins, Scott ; Alkhovsky, Sergey V. ; Avšič-Županc, Tatjana ; Ballinger, Matthew J. ; Bente, Dennis A. ; Beer, Martin ; Bergeron, Éric ; Blair, Carol D. ; Briese, Thomas ; Buchmeier, Michael J. ; Burt, Felicity J. ; Calisher, Charles H. ; Charrel, Rémi N. ; Choi, Il Ryong ; Clegg, J.C.S. ; Torre, Juan Carlos de la; Lamballerie, Xavier de; DeRisi, Joseph L. ; Digiaro, Michele ; Drebot, Mike ; Ebihara, Hideki ; Elbeaino, Toufic ; Ergünay, Koray ; Fulhorst, Charles F. ; Garrison, Aura R. ; Gāo, George Fú ; Gonzalez, Jean Paul J. ; Groschup, Martin H. ; Günther, Stephan ; Haenni, Anne Lise ; Hall, Roy A. ; Hewson, Roger ; Hughes, Holly R. ; Jain, Rakesh K. ; Jonson, Miranda Gilda ; Junglen, Sandra ; Klempa, Boris ; Klingström, Jonas ; Kormelink, Richard ; Lambert, Amy J. ; Langevin, Stanley A. ; Lukashevich, Igor S. ; Marklewitz, Marco ; Martelli, Giovanni P. ; Mielke-Ehret, Nicole ; Mirazimi, Ali ; Mühlbach, Hans Peter ; Naidu, Rayapati ; Zhang, Yong Zhen - \ 2019
Archives of Virology 164 (2019)3. - ISSN 0304-8608 - p. 927 - 941.

In October 2018, the order Bunyavirales was amended by inclusion of the family Arenaviridae, abolishment of three families, creation of three new families, 19 new genera, and 14 new species, and renaming of three genera and 22 species. This article presents the updated taxonomy of the order Bunyavirales as now accepted by the International Committee on Taxonomy of Viruses (ICTV).

Modelling strategies for assessing and increasing the effectiveness of new phenotyping techniques in plant breeding
Eeuwijk, Fred A. van; Bustos-Korts, Daniela ; Millet, Emilie J. ; Boer, Martin P. ; Kruijer, Willem ; Thompson, Addie ; Malosetti, Marcos ; Iwata, Hiroyoshi ; Quiroz, Roberto ; Kuppe, Christian ; Muller, Onno ; Blazakis, Konstantinos N. ; Yu, Kang ; Tardieu, Francois ; Chapman, Scott C. - \ 2019
Plant Science 282 (2019). - ISSN 0168-9452 - p. 23 - 39.
Crop growth model - Genomic prediction - Genotype-by-environment-interaction - Genotype-to-phenotype model - Mixed model - Multi-environment model - Multi-trait model - Phenotyping - Phenotyping platform - Physiology - Plant breeding - Prediction - Reaction norm - Response surface - Statistical genetics

New types of phenotyping tools generate large amounts of data on many aspects of plant physiology and morphology with high spatial and temporal resolution. These new phenotyping data are potentially useful to improve understanding and prediction of complex traits, like yield, that are characterized by strong environmental context dependencies, i.e., genotype by environment interactions. For an evaluation of the utility of new phenotyping information, we will look at how this information can be incorporated in different classes of genotype-to-phenotype (G2P) models. G2P models predict phenotypic traits as functions of genotypic and environmental inputs. In the last decade, access to high-density single nucleotide polymorphism markers (SNPs) and sequence information has boosted the development of a class of G2P models called genomic prediction models that predict phenotypes from genome wide marker profiles. The challenge now is to build G2P models that incorporate simultaneously extensive genomic information alongside with new phenotypic information. Beyond the modification of existing G2P models, new G2P paradigms are required. We present candidate G2P models for the integration of genomic and new phenotyping information and illustrate their use in examples. Special attention will be given to the modelling of genotype by environment interactions. The G2P models provide a framework for model based phenotyping and the evaluation of the utility of phenotyping information in the context of breeding programs.

Assignment of a dubious gene cluster to melanin biosynthesis in the tomato fungal pathogen Cladosporium fulvum
Griffiths, Scott A. ; Cox, Russell J. ; Overdijk, Elysa J.R. ; Mesarich, Carl H. ; Saccomanno, Benedetta ; Lazarus, Colin M. ; Wit, Pierre J.G.M. de; Collemare, Jérôme - \ 2018
PLoS ONE 13 (2018)12. - ISSN 1932-6203

Pigments and phytotoxins are crucial for the survival and spread of plant pathogenic fungi. The genome of the tomato biotrophic fungal pathogen Cladosporium fulvum contains a predicted gene cluster (CfPKS1, CfPRF1, CfRDT1 and CfTSF1) that is syntenic with the characterized elsinochrome toxin gene cluster in the citrus pathogen Elsinoë fawcettii. However, a previous phylogenetic analysis suggested that CfPks1 might instead be involved in pigment production. Here, we report the characterization of the CfPKS1 gene cluster to resolve this ambiguity. Activation of the regulator CfTSF1 specifically induced the expression of CfPKS1 and CfRDT1, but not of CfPRF1. These co-regulated genes that define the CfPKS1 gene cluster are orthologous to genes involved in 1,3-dihydroxynaphthalene (DHN) melanin biosynthesis in other fungi. Heterologous expression of CfPKS1 in Aspergillus oryzae yielded 1,3,6,8-tetrahydroxynaphthalene, a typical precursor of DHN melanin. Δcfpks1 deletion mutants showed similar altered pigmentation to wild type treated with DHN melanin inhibitors. These mutants remained virulent on tomato, showing this gene cluster is not involved in pathogenicity. Altogether, our results showed that the CfPKS1 gene cluster is involved in the production of DHN melanin and suggests that elsinochrome production in E. fawcettii likely involves another gene cluster.

The distribution of threats from future agricultural development to biodiversity and ecosystem services in the Lake Victoria Basin : Implications for policy
Soesbergen, A. van; Scott, E. ; Arnell, A. ; Sassen, M. ; Darrah, S. - \ 2018
Cambridge : United Nations Environment Programme - 66 p.
Global Carbon Budget 2018
Quéré, Corinne ; Andrew, Robbie ; Friedlingstein, Pierre ; Sitch, Stephen ; Hauck, Judith ; Pongratz, Julia ; Pickers, Penelope ; Ivar Korsbakken, Jan ; Peters, Glen ; Canadell, Josep ; Arneth, Almut ; Arora, Vivek ; Barbero, Leticia ; Bastos, Ana ; Bopp, Laurent ; Ciais, Philippe ; Chini, Louise ; Ciais, Philippe ; Doney, Scott ; Gkritzalis, Thanos ; Goll, Daniel ; Harris, Ian ; Haverd, Vanessa ; Hoffman, Forrest ; Hoppema, Mario ; Houghton, Richard ; Hurtt, George ; Ilyina, Tatiana ; Jain, Atul ; Johannessen, Truls ; Jones, Chris ; Kato, Etsushi ; Keeling, Ralph ; Klein Goldewijk, Kees ; Landschützer, Peter ; Lefèvre, Nathalie ; Lienert, Sebastian ; Liu, Zhu ; Lombardozzi, Danica ; Metzl, Nicolas ; Munro, David ; Nabel, Julia ; Nakaoka, Shin Ichiro ; Neill, Craig ; Olsen, Are ; Ono, Tsueno ; Patra, Prabir ; Peregon, Anna ; Peters, Wouter ; Laan-Luijkx, Ingrid Van Der - \ 2018
Earth System Science Data 10 (2018)4. - ISSN 1866-3508 - p. 2141 - 2194.

Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere - the "global carbon budget" - is important to better understand the global carbon cycle, support the development of climate policies, and project future climate change. Here we describe data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFF) are based on energy statistics and cement production data, while emissions from land use and land-use change (ELUC), mainly deforestation, are based on land use and land-use change data and bookkeeping models. Atmospheric CO2 concentration is measured directly and its growth rate (GATM) is computed from the annual changes in concentration. The ocean CO2 sink (SOCEAN) and terrestrial CO2 sink (SLAND) are estimated with global process models constrained by observations. The resulting carbon budget imbalance (BIM), the difference between the estimated total emissions and the estimated changes in the atmosphere, ocean, and terrestrial biosphere, is a measure of imperfect data and understanding of the contemporary carbon cycle. All uncertainties are reported as ±1σ. For the last decade available (2008-2017), EFF was 9.4±0.5 GtC yrĝ'1, ELUC 1.5±0.7 GtC yrĝ'1, GATM 4.7±0.02 GtC yrĝ'1, SOCEAN 2.4±0.5 GtC yrĝ'1, and SLAND 3.2±0.8 GtC yrĝ'1, with a budget imbalance BIM of 0.5 GtC yrĝ'1 indicating overestimated emissions and/or underestimated sinks. For the year 2017 alone, the growth in EFF was about 1.6 % and emissions increased to 9.9±0.5 GtC yrĝ'1. Also for 2017, ELUC was 1.4±0.7 GtC yrĝ'1, GATM was 4.6±0.2 GtC yrĝ'1, SOCEAN was 2.5±0.5 GtC yrĝ'1, and SLAND was 3.8±0.8 GtC yrĝ'1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 405.0±0.1 ppm averaged over 2017. For 2018, preliminary data for the first 6-9 months indicate a renewed growth in EFF of +2.7 % (range of 1.8 % to 3.7 %) based on national emission projections for China, the US, the EU, and India and projections of gross domestic product corrected for recent changes in the carbon intensity of the economy for the rest of the world. The analysis presented here shows that the mean and trend in the five components of the global carbon budget are consistently estimated over the period of 1959-2017, but discrepancies of up to 1 GtC yrĝ'1 persist for the representation of semi-decadal variability in CO2 fluxes. A detailed comparison among individual estimates and the introduction of a broad range of observations show (1) no consensus in the mean and trend in land-use change emissions, (2) a persistent low agreement among the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent underestimation of the CO2 variability by ocean models, originating outside the tropics. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding the global carbon cycle compared with previous publications of this data set (Le Quéré et al., 2018, 2016, 2015a, b, 2014, 2013).

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