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Acknowledgments This research was funded by NERC Grants NE/J01396X/1; NE/E006434/1 to XL. Y. M. was funded by a Marie Curie FP7-PEOPLE-2011-IEF 300288. We profusely thank the Scottish Mink Initiative, staff, funders and multiple mink volunteers for the continued effort, samples and enthusiasm. The Scottish Water Vole Conservation Project was funded by The Tubney Charitable trust, Scottish Natural Heritage, the Cairngorms National Park Authority and the People’s Trust for Endangered Species. We also thank the Associate Editor and two anonymous referees for their thoughtful reviews.
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Funding for work in the laboratory of PB was supported by Scottish Government Rural and Environment Science and Analytical Services Division, BBSRC (grant BB/M001504/1), British Society for Neuroendocrinology (research visit grant to IP). Work in the laboratory of SS was supported by a grant from the DFG (Ste 331/8-1). We thank Siegried Hilken, Marianne Brüning, Dr. Esther Lipokatic-Takacs and Dr. Frank Scherbarth at UVMH for technical assistance. We thank Graham Horgan of Bioinformatics, Statistics Scotland for assistance with some of statistical tests.
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Peer reviewed
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This research is funded by UK Medical Research Council grant number MR/L011115/1
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Acknowledgements We thank Ruth B Murray for reviewing and editing this manuscript. We thank Joan B Soriano for his critical review and constructive comments. We thank Helga Mikkelsen and Alessandra Cifra for their assistance with manuscript editing and revision. Finally, we thank the Journal blind peer reviewers, whose suggestions and critical appraisal significantly improved our original submission. FUNDING This study was funded by Meda, Solna, Sweden. Data acquisition and analyses were funded by Meda. The study was conducted by Research in Real Life as an independent research organisation; Meda had no role in the conduct or reporting of the study.
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Acknowledgements We thank B. Lahner, E. Yakubova and S. Rikiishi for ICP-MS analysis, N. Komiyama, Iowa State University Plant Transformation Facility and Prashant Hosmani for generation of transgenic rice, K. Wang for providing pTF101.1 vector and N. Verbruggen for providing pYES2 and pYEC2/CT-GFP vectors. We also thank Rice T-DNA Insertion Sequence Database center for providing the T-DNA insertion line and X. Wang, T. Zheng and Z. Li for accessing 3 K rice genome sequence, and Graeme Paton for helpful discussions on Cu bioavailability in water-logged soils. This research was supported by a Grant-in-Aid for Specially promoted Research (JSPS KAKENHI Grant Number 16H06296 to J.F.M), and the US National Science Foundation, Plant Genome Research Program (Grant #IOS 0701119 to D.E.S., M.L.G. and S.R.M.P.).
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Funding The EuroFIT study is funded by the European Union’s Seventh Framework Program for research technological development and demonstration under Grant Agreement no: 602170. The Health Services Research Unit, University of Aberdeen, is core funded by the Chief Scientist Office of the Scottish Government Health Directorates.
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Acknowledgements We acknowledge the IAN-AF team (in particular to Duarte Torres, Milton Severo and Andreia Oliveira) for the community sampling and their support on dietary assessment methodology and critical discussion along the elaboration of the present protocol. Funding This project (136SI5) was granted by the Public Health Initiatives Programme (PT06), financed by EEA Grants Financial Mechanism 2009-2014.
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Acknowledgements The authors would like to thank, Estelle Payerne (article screening, data extraction and bias assessment); Trish Boyton (article retrieval and screening) and Laura Cawley (search terms and title screening) for their invaluable help in conducting this systematic review. Funding The research was funded by the UK National Institute for Health Research Health Technology Assessment Programme.
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We cordially thank Alma Rute for excellent technical assistance and the DFG (GRK 1431-1 and 1431-2) for financial support (PB). We thank the Microscope and Histology Facility of the University of Aberdeen for providing their equipment. We also thank Jacob Hargreaves for proofreading the manuscript.
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W.-X.W. was supported by NSFC under Grant No. 11105011, CNNSF under Grant No. 61074116 and the Fundamental Research Funds for the Central Universities. Y.-C.L. was supported by ARO under Grant W911NF-14-1-0504
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Acknowledgements We thank staff at the Cape Eleuthera Institute for assistance in the field, Dominique Barthelemy and Jean Goasdoue for providing samples, and Helen Hipperson for assistance in the lab.
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Acknowledgements This research was funded by the MRC via its Methodology Panel: ‘Strengthening evaluation and implementation by specifying components of behaviour change interventions’ Ref: G0901474/1. We thank the participants who took part in the studies that form this research. We also thank Derek Johnston (Emeritus Professor, University of Aberdeen) for his guidance on statistical analyses.
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R.N.P. and P.J.H. are grateful for funding from an NSERC Discovery Grant. Computations were performed on the GPC supercomputer at the SciNet HPC Consortium. SciNet is funded by the Canada Foundation for Innovation under the auspices of Compute Canada, the Government of Ontario, Ontario Research Fund—Research Excellence and the University of Toronto. Numerical calculations were done using a modified version of the SOPALE (2000) software. The SOPALE modelling code was originally developed by Philippe Fullsack at Dalhousie University with Chris Beaumont and his Geodynamics group.
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Peer reviewed