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Wageningen University and Research Centre

EducationWageningen, Netherlands
About: Wageningen University and Research Centre is a education organization based out in Wageningen, Netherlands. It is known for research contribution in the topics: Population & Sustainability. The organization has 23474 authors who have published 54833 publications receiving 2608897 citations.


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Journal ArticleDOI
Xun Xu1, Shengkai Pan1, Shifeng Cheng1, Bo Zhang1, Mu D1, Peixiang Ni1, Gengyun Zhang1, Shuang Yang1, Ruiqiang Li1, Jun Wang1, Gisella Orjeda2, Frank Guzman2, Torres M2, Roberto Lozano2, Olga Ponce2, Diana Martinez2, De la Cruz G3, Chakrabarti Sk3, Patil Vu3, Konstantin G. Skryabin4, Boris B. Kuznetsov4, Nikolai V. Ravin4, Tatjana V. Kolganova4, Alexey V. Beletsky4, Andrey V. Mardanov4, Di Genova A5, Dan Bolser5, David M. A. Martin5, Li G, Yang Y, Hanhui Kuang6, Hu Q6, Xiong X7, Gerard J. Bishop8, Boris Sagredo, Nilo Mejía, Zagorski W9, Robert Gromadka9, Jan Gawor9, Pawel Szczesny9, Sanwen Huang, Zhang Z, Liang C, He J, Li Y, He Y, Xu J, Youjun Zhang, Xie B, Du Y, Qu D, Merideth Bonierbale10, Marc Ghislain10, Herrera Mdel R, Giovanni Giuliano, Marco Pietrella, Gaetano Perrotta, Paolo Facella, O'Brien K11, Sergio Enrique Feingold, Barreiro Le, Massa Ga, Luis Aníbal Diambra12, Brett R Whitty13, Brieanne Vaillancourt13, Lin H13, Alicia N. Massa13, Geoffroy M13, Lundback S13, Dean DellaPenna13, Buell Cr14, Sanjeev Kumar Sharma14, David Marshall14, Robbie Waugh14, Glenn J. Bryan14, Destefanis M15, Istvan Nagy15, Dan Milbourne15, Susan Thomson16, Mark Fiers16, Jeanne M. E. Jacobs16, Kåre Lehmann Nielsen17, Mads Sønderkær17, Marina Iovene18, Giovana Augusta Torres18, Jiming Jiang18, Richard E. Veilleux19, Christian W. B. Bachem20, de Boer J20, Theo Borm20, Bjorn Kloosterman20, van Eck H20, Erwin Datema20, Hekkert Bt20, Aska Goverse20, van Ham Rc20, Richard G. F. Visser20 
10 Jul 2011-Nature
TL;DR: The potato genome sequence provides a platform for genetic improvement of this vital crop and predicts 39,031 protein-coding genes and presents evidence for at least two genome duplication events indicative of a palaeopolyploid origin.
Abstract: Potato (Solanum tuberosum L.) is the world's most important non-grain food crop and is central to global food security. It is clonally propagated, highly heterozygous, autotetraploid, and suffers acute inbreeding depression. Here we use a homozygous doubled-monoploid potato clone to sequence and assemble 86% of the 844-megabase genome. We predict 39,031 protein-coding genes and present evidence for at least two genome duplication events indicative of a palaeopolyploid origin. As the first genome sequence of an asterid, the potato genome reveals 2,642 genes specific to this large angiosperm clade. We also sequenced a heterozygous diploid clone and show that gene presence/absence variants and other potentially deleterious mutations occur frequently and are a likely cause of inbreeding depression. Gene family expansion, tissue-specific expression and recruitment of genes to new pathways contributed to the evolution of tuber development. The potato genome sequence provides a platform for genetic improvement of this vital crop.

1,813 citations

Journal ArticleDOI
Xiaowu Wang1, Hanzhong Wang, Jun Wang2, Jun Wang3, Jun Wang4, Rifei Sun, Jian Wu, Shengyi Liu, Yinqi Bai4, Jeong-Hwan Mun5, Ian Bancroft6, Feng Cheng, Sanwen Huang, Xixiang Li, Wei Hua, Junyi Wang4, Xiyin Wang7, Xiyin Wang8, Michael Freeling9, J. Chris Pires10, Andrew H. Paterson8, Boulos Chalhoub, Bo Wang4, Alice Hayward11, Alice Hayward12, Andrew G. Sharpe13, Beom-Seok Park5, Bernd Weisshaar14, Binghang Liu4, Bo Li4, Bo Liu, Chaobo Tong, Chi Song4, Chris Duran15, Chris Duran12, Chunfang Peng4, Geng Chunyu4, Chushin Koh13, Chuyu Lin4, David Edwards12, David Edwards15, Desheng Mu4, Di Shen, Eleni Soumpourou6, Fei Li, Fiona Fraser6, Gavin C. Conant10, Gilles Lassalle16, Graham J.W. King3, Guusje Bonnema17, Haibao Tang9, Haiping Wang, Harry Belcram, Heling Zhou4, Hideki Hirakawa, Hiroshi Abe, Hui Guo8, Hui Wang, Huizhe Jin8, Isobel A. P. Parkin18, Jacqueline Batley12, Jacqueline Batley11, Jeong-Sun Kim5, Jérémy Just, Jianwen Li4, Jiaohui Xu4, Jie Deng, Jin A Kim5, Jingping Li8, Jingyin Yu, Jinling Meng19, Jinpeng Wang7, Jiumeng Min4, Julie Poulain20, Katsunori Hatakeyama, Kui Wu4, Li Wang7, Lu Fang, Martin Trick6, Matthew G. Links18, Meixia Zhao, Mina Jin5, Nirala Ramchiary21, Nizar Drou22, Paul J. Berkman15, Paul J. Berkman12, Qingle Cai4, Quanfei Huang4, Ruiqiang Li4, Satoshi Tabata, Shifeng Cheng4, Shu Zhang4, Shujiang Zhang, Shunmou Huang, Shusei Sato, Silong Sun, Soo-Jin Kwon5, Su-Ryun Choi21, Tae-Ho Lee8, Wei Fan4, Xiang Zhao4, Xu Tan8, Xun Xu4, Yan Wang, Yang Qiu, Ye Yin4, Yingrui Li4, Yongchen Du, Yongcui Liao, Yong Pyo Lim21, Yoshihiro Narusaka, Yupeng Wang7, Zhenyi Wang7, Zhenyu Li4, Zhiwen Wang4, Zhiyong Xiong10, Zhonghua Zhang 
TL;DR: The annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage, and used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution.
Abstract: We report the annotation and analysis of the draft genome sequence of Brassica rapa accession Chiifu-401-42, a Chinese cabbage. We modeled 41,174 protein coding genes in the B. rapa genome, which has undergone genome triplication. We used Arabidopsis thaliana as an outgroup for investigating the consequences of genome triplication, such as structural and functional evolution. The extent of gene loss (fractionation) among triplicated genome segments varies, with one of the three copies consistently retaining a disproportionately large fraction of the genes expected to have been present in its ancestor. Variation in the number of members of gene families present in the genome may contribute to the remarkable morphological plasticity of Brassica species. The B. rapa genome sequence provides an important resource for studying the evolution of polyploid genomes and underpins the genetic improvement of Brassica oil and vegetable crops.

1,811 citations

Journal ArticleDOI
TL;DR: A review of available epidemiologic data on the health effects of polyphenols, focusing on the flavonoid subclasses of flavonols, flavones, and catechins and on lignans, is presented in this paper.

1,790 citations

Journal ArticleDOI
Pierre Friedlingstein1, Pierre Friedlingstein2, Michael O'Sullivan1, Matthew W. Jones3, Robbie M. Andrew, Judith Hauck, Are Olsen, Glen P. Peters, Wouter Peters4, Wouter Peters5, Julia Pongratz6, Julia Pongratz7, Stephen Sitch2, Corinne Le Quéré3, Josep G. Canadell8, Philippe Ciais9, Robert B. Jackson10, Simone R. Alin11, Luiz E. O. C. Aragão2, Luiz E. O. C. Aragão12, Almut Arneth, Vivek K. Arora, Nicholas R. Bates13, Nicholas R. Bates14, Meike Becker, Alice Benoit-Cattin, Henry C. Bittig, Laurent Bopp15, Selma Bultan6, Naveen Chandra16, Naveen Chandra17, Frédéric Chevallier9, Louise Chini18, Wiley Evans, Liesbeth Florentie5, Piers M. Forster19, Thomas Gasser20, Marion Gehlen9, Dennis Gilfillan, Thanos Gkritzalis21, Luke Gregor22, Nicolas Gruber22, Ian Harris23, Kerstin Hartung6, Kerstin Hartung24, Vanessa Haverd8, Richard A. Houghton25, Tatiana Ilyina7, Atul K. Jain26, Emilie Joetzjer27, Koji Kadono28, Etsushi Kato, Vassilis Kitidis29, Jan Ivar Korsbakken, Peter Landschützer7, Nathalie Lefèvre30, Andrew Lenton31, Sebastian Lienert32, Zhu Liu33, Danica Lombardozzi34, Gregg Marland35, Nicolas Metzl30, David R. Munro36, David R. Munro11, Julia E. M. S. Nabel7, S. Nakaoka16, Yosuke Niwa16, Kevin D. O'Brien37, Kevin D. O'Brien11, Tsuneo Ono, Paul I. Palmer, Denis Pierrot38, Benjamin Poulter, Laure Resplandy39, Eddy Robertson40, Christian Rödenbeck7, Jörg Schwinger, Roland Séférian27, Ingunn Skjelvan, Adam J. P. Smith3, Adrienne J. Sutton11, Toste Tanhua41, Pieter P. Tans11, Hanqin Tian42, Bronte Tilbrook43, Bronte Tilbrook31, Guido R. van der Werf44, N. Vuichard9, Anthony P. Walker45, Rik Wanninkhof38, Andrew J. Watson2, David R. Willis23, Andy Wiltshire40, Wenping Yuan46, Xu Yue47, Sönke Zaehle7 
École Normale Supérieure1, University of Exeter2, Norwich Research Park3, University of Groningen4, Wageningen University and Research Centre5, Ludwig Maximilian University of Munich6, Max Planck Society7, Commonwealth Scientific and Industrial Research Organisation8, Université Paris-Saclay9, Stanford University10, National Oceanic and Atmospheric Administration11, National Institute for Space Research12, Bermuda Institute of Ocean Sciences13, University of Southampton14, PSL Research University15, National Institute for Environmental Studies16, Japan Agency for Marine-Earth Science and Technology17, University of Maryland, College Park18, University of Leeds19, International Institute of Minnesota20, Flanders Marine Institute21, ETH Zurich22, University of East Anglia23, German Aerospace Center24, Woods Hole Research Center25, University of Illinois at Urbana–Champaign26, University of Toulouse27, Japan Meteorological Agency28, Plymouth Marine Laboratory29, University of Paris30, Hobart Corporation31, Oeschger Centre for Climate Change Research32, Tsinghua University33, National Center for Atmospheric Research34, Appalachian State University35, University of Colorado Boulder36, University of Washington37, Atlantic Oceanographic and Meteorological Laboratory38, Princeton University39, Met Office40, Leibniz Institute of Marine Sciences41, Auburn University42, University of Tasmania43, VU University Amsterdam44, Oak Ridge National Laboratory45, Sun Yat-sen University46, Nanjing University47
TL;DR: In this paper, the authors describe and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties, including emissions from land use and land-use change data and bookkeeping models.
Abstract: Accurate assessment of anthropogenic carbon dioxide (CO2) emissions and their redistribution among the atmosphere, ocean, and terrestrial biosphere in a changing climate – 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 and synthesize data sets and methodology to quantify the five major components of the global carbon budget and their uncertainties. Fossil CO2 emissions (EFOS) are based on energy statistics and cement production data, while emissions from 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 (2010–2019), EFOS was 9.6 ± 0.5 GtC yr−1 excluding the cement carbonation sink (9.4 ± 0.5 GtC yr−1 when the cement carbonation sink is included), and ELUC was 1.6 ± 0.7 GtC yr−1. For the same decade, GATM was 5.1 ± 0.02 GtC yr−1 (2.4 ± 0.01 ppm yr−1), SOCEAN 2.5 ± 0.6 GtC yr−1, and SLAND 3.4 ± 0.9 GtC yr−1, with a budget imbalance BIM of −0.1 GtC yr−1 indicating a near balance between estimated sources and sinks over the last decade. For the year 2019 alone, the growth in EFOS was only about 0.1 % with fossil emissions increasing to 9.9 ± 0.5 GtC yr−1 excluding the cement carbonation sink (9.7 ± 0.5 GtC yr−1 when cement carbonation sink is included), and ELUC was 1.8 ± 0.7 GtC yr−1, for total anthropogenic CO2 emissions of 11.5 ± 0.9 GtC yr−1 (42.2 ± 3.3 GtCO2). Also for 2019, GATM was 5.4 ± 0.2 GtC yr−1 (2.5 ± 0.1 ppm yr−1), SOCEAN was 2.6 ± 0.6 GtC yr−1, and SLAND was 3.1 ± 1.2 GtC yr−1, with a BIM of 0.3 GtC. The global atmospheric CO2 concentration reached 409.85 ± 0.1 ppm averaged over 2019. Preliminary data for 2020, accounting for the COVID-19-induced changes in emissions, suggest a decrease in EFOS relative to 2019 of about −7 % (median estimate) based on individual estimates from four studies of −6 %, −7 %, −7 % (−3 % to −11 %), and −13 %. Overall, the mean and trend in the components of the global carbon budget are consistently estimated over the period 1959–2019, but discrepancies of up to 1 GtC yr−1 persist for the representation of semi-decadal variability in CO2 fluxes. Comparison of estimates from diverse approaches and observations shows (1) no consensus in the mean and trend in land-use change emissions over the last decade, (2) a persistent low agreement between the different methods on the magnitude of the land CO2 flux in the northern extra-tropics, and (3) an apparent discrepancy between the different methods for the ocean sink outside the tropics, particularly in the Southern Ocean. This living data update documents changes in the methods and data sets used in this new global carbon budget and the progress in understanding of the global carbon cycle compared with previous publications of this data set (Friedlingstein et al., 2019; Le Quere et al., 2018b, a, 2016, 2015b, a, 2014, 2013). The data presented in this work are available at https://doi.org/10.18160/gcp-2020 (Friedlingstein et al., 2020).

1,764 citations

Journal ArticleDOI
TL;DR: The main functions of rhizosphere microorganisms and how they impact on health and disease are reviewed and several strategies to redirect or reshape the rhizospheric microbiome in favor of microorganisms that are beneficial to plant growth and health are highlighted.
Abstract: Microbial communities play a pivotal role in the functioning of plants by influencing their physiology and development. While many members of the rhizosphere microbiome are beneficial to plant growth, also plant pathogenic microorganisms colonize the rhizosphere striving to break through the protective microbial shield and to overcome the innate plant defense mechanisms in order to cause disease. A third group of microorganisms that can be found in the rhizosphere are the true and opportunistic human pathogenic bacteria, which can be carried on or in plant tissue and may cause disease when introduced into debilitated humans. Although the importance of the rhizosphere microbiome for plant growth has been widely recognized, for the vast majority of rhizosphere microorganisms no knowledge exists. To enhance plant growth and health, it is essential to know which microorganism is present in the rhizosphere microbiome and what they are doing. Here, we review the main functions of rhizosphere microorganisms and how they impact on health and disease. We discuss the mechanisms involved in the multitrophic interactions and chemical dialogues that occur in the rhizosphere. Finally, we highlight several strategies to redirect or reshape the rhizosphere microbiome in favor of microorganisms that are beneficial to plant growth and health.

1,752 citations


Authors

Showing all 23851 results

NameH-indexPapersCitations
Walter C. Willett3342399413322
Albert Hofman2672530321405
Frank B. Hu2501675253464
Willem M. de Vos14867088146
Willy Verstraete13992076659
Jonathan D. G. Jones12941780908
Bert Brunekreef12480681938
Pedro W. Crous11580951925
Marten Scheffer11135073789
Wim E. Hennink11060049940
Daan Kromhout10845355551
Peter H. Verburg10746434254
Marcel Dicke10761342959
Vincent W. V. Jaddoe106100844269
Hao Wu10566942607
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023278
2022861
20214,144
20203,722
20193,443
20183,226