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      Multiplying the efficiency and impact of biofortification through metabolic engineering

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          Abstract

          Ending all forms of hunger by 2030, as set forward in the UN-Sustainable Development Goal 2 (UN-SDG2), is a daunting but essential task, given the limited timeline ahead and the negative global health and socio-economic impact of hunger. Malnutrition or hidden hunger due to micronutrient deficiencies affects about one third of the world population and severely jeopardizes economic development. Staple crop biofortification through gene stacking, using a rational combination of conventional breeding and metabolic engineering strategies, should enable a leap forward within the coming decade. A number of specific actions and policy interventions are proposed to reach this goal.

          Abstract

          Biofortification is an effective means to reduce micronutrient malnutrition. Here, the authors review recent advances in biofortification and propose stacking multiple micronutrient traits into high-yielding varieties through the combination of conventional breeding and genetic engineering approaches.

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          Most cited references55

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          Ror2 signaling regulates Golgi structure and transport through IFT20 for tumor invasiveness

          Signaling through the Ror2 receptor tyrosine kinase promotes invadopodia formation for tumor invasion. Here, we identify intraflagellar transport 20 (IFT20) as a new target of this signaling in tumors that lack primary cilia, and find that IFT20 mediates the ability of Ror2 signaling to induce the invasiveness of these tumors. We also find that IFT20 regulates the nucleation of Golgi-derived microtubules by affecting the GM130-AKAP450 complex, which promotes Golgi ribbon formation in achieving polarized secretion for cell migration and invasion. Furthermore, IFT20 promotes the efficiency of transport through the Golgi complex. These findings shed new insights into how Ror2 signaling promotes tumor invasiveness, and also advance the understanding of how Golgi structure and transport can be regulated.
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            Maternal and child undernutrition and overweight in low-income and middle-income countries

            The Lancet, 382(9890), 427-451
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              Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the Global Burden of Disease Study 2015

              Background Non-fatal outcomes of disease and injury increasingly detract from the ability of the world's population to live in full health, a trend largely attributable to an epidemiological transition in many countries from causes affecting children, to non-communicable diseases (NCDs) more common in adults. For the Global Burden of Diseases, Injuries, and Risk Factors Study 2015 (GBD 2015), we estimated the incidence, prevalence, and years lived with disability for diseases and injuries at the global, regional, and national scale over the period of 1990 to 2015. Methods We estimated incidence and prevalence by age, sex, cause, year, and geography with a wide range of updated and standardised analytical procedures. Improvements from GBD 2013 included the addition of new data sources, updates to literature reviews for 85 causes, and the identification and inclusion of additional studies published up to November, 2015, to expand the database used for estimation of non-fatal outcomes to 60 900 unique data sources. Prevalence and incidence by cause and sequelae were determined with DisMod-MR 2.1, an improved version of the DisMod-MR Bayesian meta-regression tool first developed for GBD 2010 and GBD 2013. For some causes, we used alternative modelling strategies where the complexity of the disease was not suited to DisMod-MR 2.1 or where incidence and prevalence needed to be determined from other data. For GBD 2015 we created a summary indicator that combines measures of income per capita, educational attainment, and fertility (the Socio-demographic Index [SDI]) and used it to compare observed patterns of health loss to the expected pattern for countries or locations with similar SDI scores. Findings We generated 9·3 billion estimates from the various combinations of prevalence, incidence, and YLDs for causes, sequelae, and impairments by age, sex, geography, and year. In 2015, two causes had acute incidences in excess of 1 billion: upper respiratory infections (17·2 billion, 95% uncertainty interval [UI] 15·4–19·2 billion) and diarrhoeal diseases (2·39 billion, 2·30–2·50 billion). Eight causes of chronic disease and injury each affected more than 10% of the world's population in 2015: permanent caries, tension-type headache, iron-deficiency anaemia, age-related and other hearing loss, migraine, genital herpes, refraction and accommodation disorders, and ascariasis. The impairment that affected the greatest number of people in 2015 was anaemia, with 2·36 billion (2·35–2·37 billion) individuals affected. The second and third leading impairments by number of individuals affected were hearing loss and vision loss, respectively. Between 2005 and 2015, there was little change in the leading causes of years lived with disability (YLDs) on a global basis. NCDs accounted for 18 of the leading 20 causes of age-standardised YLDs on a global scale. Where rates were decreasing, the rate of decrease for YLDs was slower than that of years of life lost (YLLs) for nearly every cause included in our analysis. For low SDI geographies, Group 1 causes typically accounted for 20–30% of total disability, largely attributable to nutritional deficiencies, malaria, neglected tropical diseases, HIV/AIDS, and tuberculosis. Lower back and neck pain was the leading global cause of disability in 2015 in most countries. The leading cause was sense organ disorders in 22 countries in Asia and Africa and one in central Latin America; diabetes in four countries in Oceania; HIV/AIDS in three southern sub-Saharan African countries; collective violence and legal intervention in two north African and Middle Eastern countries; iron-deficiency anaemia in Somalia and Venezuela; depression in Uganda; onchoceriasis in Liberia; and other neglected tropical diseases in the Democratic Republic of the Congo. Interpretation Ageing of the world's population is increasing the number of people living with sequelae of diseases and injuries. Shifts in the epidemiological profile driven by socioeconomic change also contribute to the continued increase in years lived with disability (YLDs) as well as the rate of increase in YLDs. Despite limitations imposed by gaps in data availability and the variable quality of the data available, the standardised and comprehensive approach of the GBD study provides opportunities to examine broad trends, compare those trends between countries or subnational geographies, benchmark against locations at similar stages of development, and gauge the strength or weakness of the estimates available. Funding Bill & Melinda Gates Foundation.
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                Author and article information

                Contributors
                Dominique.VanDerStraeten@UGent.be
                H.Bouis@CGIAR.org
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                15 October 2020
                15 October 2020
                2020
                : 11
                : 5203
                Affiliations
                [1 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Laboratory of Functional Plant Biology, Department of Biology, , Ghent University, ; K.L. Ledeganckstraat 35, B-9000 Ghent, Belgium
                [2 ]GRID grid.5801.c, ISNI 0000 0001 2156 2780, Department of Biology, , Institute of Molecular Plant Biology, ETH Zurich, ; Universitaetstrasse 2, 8092 Zurich, Switzerland
                [3 ]GRID grid.5342.0, ISNI 0000 0001 2069 7798, Department of Agricultural Economics, , Ghent University, ; Coupure Links 653, B-9000 Ghent, Belgium
                [4 ]GRID grid.260542.7, ISNI 0000 0004 0532 3749, Advanced Plant Biotechnology Center, , National Chung Hsing University, ; Taichung, Taiwan
                [5 ]GRID grid.34424.35, ISNI 0000 0004 0466 6352, Donald Danforth Plant Science Center, ; St. Louis, MO 63132 USA
                [6 ]GRID grid.419346.d, ISNI 0000 0004 0480 4882, HarvestPlus c/o IFPRI, ; Washington, DC USA
                [7 ]GRID grid.7450.6, ISNI 0000 0001 2364 4210, Department of Agricultural Economics and Rural Development, , University of Goettingen, ; Platz der Goettinger Sieben 5, 37073 Goettingen, Germany
                [8 ]GRID grid.419387.0, ISNI 0000 0001 0729 330X, International Rice Research Institute, ; Manila, The Philippines
                [9 ]GRID grid.418348.2, ISNI 0000 0001 0943 556X, International Center for Tropical Agriculture, CIAT, ; Cali, Colombia
                [10 ]GRID grid.5596.f, ISNI 0000 0001 0668 7884, Tropical Crop Improvement Lab, , Department of Biosystems, KU Leuven, ; Heverlee, Belgium
                [11 ]GRID grid.4861.b, ISNI 0000 0001 0805 7253, Plant Genetics, TERRA Teaching and Research Center, , Gembloux Agro-Biotech, University of Liège, ; Gembloux, Belgium
                [12 ]International Plant Biotechnology Outreach, B-9052 Zwijnaarde, Belgium
                [13 ]GRID grid.410727.7, ISNI 0000 0001 0526 1937, Biotechnology Research Institute, , Chinese Academy of Agricultural Sciences, ; Beijing, China
                [14 ]GRID grid.419346.d, ISNI 0000 0004 0480 4882, International Food Policy Research Institute, ; Washington, DC USA
                Author information
                http://orcid.org/0000-0002-7755-1420
                http://orcid.org/0000-0003-1657-0422
                http://orcid.org/0000-0003-1340-0882
                http://orcid.org/0000-0002-9979-8299
                http://orcid.org/0000-0003-4143-0763
                http://orcid.org/0000-0003-0583-9406
                http://orcid.org/0000-0002-6440-9150
                http://orcid.org/0000-0003-2102-9737
                http://orcid.org/0000-0003-4711-5131
                http://orcid.org/0000-0001-5685-6412
                http://orcid.org/0000-0001-5432-9192
                Article
                19020
                10.1038/s41467-020-19020-4
                7567076
                33060603
                3dfff5d2-49be-4131-bf11-7b1b2e09d95f
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 25 June 2020
                : 24 September 2020
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100004385, Universiteit Gent (UGent);
                Award ID: BOF-GOA 01G00409
                Award ID: BOF.PDO.2019.0008.01
                Award Recipient :
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                © The Author(s) 2020

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                metabolic engineering,agricultural genetics,molecular engineering in plants,agriculture

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