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Institution

Swedish University of Agricultural Sciences

EducationUppsala, Sweden
About: Swedish University of Agricultural Sciences is a education organization based out in Uppsala, Sweden. It is known for research contribution in the topics: Population & Soil water. The organization has 13510 authors who have published 35241 publications receiving 1414458 citations. The organization is also known as: Sveriges Lantbruksuniversitet & SLU.


Papers
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Journal ArticleDOI
TL;DR: In this paper, a review of existing approaches for modeling preferential and non-equilibrium flow and transport in the vadose zone is presented, which range from relatively simplistic models to more complex physically based dual-porosity, dual-permeability, and multi-region type models.

885 citations

Journal ArticleDOI
23 Oct 2003-Nature
TL;DR: This study establishes a causal relationship between a single-base-pair substitution in a non-coding region and a QTL effect, and supports the long-held view that regulatory mutations are important for controlling phenotypic variation.
Abstract: Most traits and disorders have a multifactorial background indicating that they are controlled by environmental factors as well as an unknown number of quantitative trait loci (QTLs). The identification of mutations underlying QTLs is a challenge because each locus explains only a fraction of the phenotypic variation. A paternally expressed QTL affecting muscle growth, fat deposition and size of the heart in pigs maps to the IGF2 (insulin-like growth factor 2) region. Here we show that this QTL is caused by a nucleotide substitution in intron 3 of IGF2. The mutation occurs in an evolutionarily conserved CpG island that is hypomethylated in skeletal muscle. The mutation abrogates in vitro interaction with a nuclear factor, probably a repressor, and pigs inheriting the mutation from their sire have a threefold increase in IGF2 messenger RNA expression in postnatal muscle. Our study establishes a causal relationship between a single-base-pair substitution in a non-coding region and a QTL effect. The result supports the long-held view that regulatory mutations are important for controlling phenotypic variation.

885 citations

Journal ArticleDOI
Jens Kattge1, Gerhard Bönisch2, Sandra Díaz3, Sandra Lavorel  +751 moreInstitutions (314)
TL;DR: The extent of the trait data compiled in TRY is evaluated and emerging patterns of data coverage and representativeness are analyzed to conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements.
Abstract: Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives.

882 citations

Journal ArticleDOI
Guojie Zhang1, Guojie Zhang2, Cai Li2, Qiye Li2, Bo Li2, Denis M. Larkin3, Chul Hee Lee4, Jay F. Storz5, Agostinho Antunes6, Matthew J. Greenwold7, Robert W. Meredith8, Anders Ödeen9, Jie Cui10, Qi Zhou11, Luohao Xu2, Hailin Pan2, Zongji Wang12, Lijun Jin2, Pei Zhang2, Haofu Hu2, Wei Yang2, Jiang Hu2, Jin Xiao2, Zhikai Yang2, Yang Liu2, Qiaolin Xie2, Hao Yu2, Jinmin Lian2, Ping Wen2, Fang Zhang2, Hui Li2, Yongli Zeng2, Zijun Xiong2, Shiping Liu12, Long Zhou2, Zhiyong Huang2, Na An2, Jie Wang13, Qiumei Zheng2, Yingqi Xiong2, Guangbiao Wang2, Bo Wang2, Jingjing Wang2, Yu Fan14, Rute R. da Fonseca1, Alonzo Alfaro-Núñez1, Mikkel Schubert1, Ludovic Orlando1, Tobias Mourier1, Jason T. Howard15, Ganeshkumar Ganapathy15, Andreas R. Pfenning15, Osceola Whitney15, Miriam V. Rivas15, Erina Hara15, Julia Smith15, Marta Farré3, Jitendra Narayan16, Gancho T. Slavov16, Michael N Romanov17, Rui Borges6, João Paulo Machado6, Imran Khan6, Mark S. Springer18, John Gatesy18, Federico G. Hoffmann19, Juan C. Opazo20, Olle Håstad21, Roger H. Sawyer7, Heebal Kim4, Kyu-Won Kim4, Hyeon Jeong Kim4, Seoae Cho4, Ning Li22, Yinhua Huang22, Michael William Bruford23, Xiangjiang Zhan13, Andrew Dixon, Mads F. Bertelsen24, Elizabeth P. Derryberry25, Wesley C. Warren26, Richard K. Wilson26, Shengbin Li27, David A. Ray19, Richard E. Green28, Stephen J. O'Brien29, Darren K. Griffin17, Warren E. Johnson30, David Haussler28, Oliver A. Ryder, Eske Willerslev1, Gary R. Graves31, Per Alström21, Jon Fjeldså32, David P. Mindell33, Scott V. Edwards34, Edward L. Braun35, Carsten Rahbek32, David W. Burt36, Peter Houde37, Yong Zhang2, Huanming Yang38, Jian Wang2, Erich D. Jarvis15, M. Thomas P. Gilbert39, M. Thomas P. Gilbert1, Jun Wang 
12 Dec 2014-Science
TL;DR: This work explored bird macroevolution using full genomes from 48 avian species representing all major extant clades to reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.
Abstract: Birds are the most species-rich class of tetrapod vertebrates and have wide relevance across many research fields. We explored bird macroevolution using full genomes from 48 avian species representing all major extant clades. The avian genome is principally characterized by its constrained size, which predominantly arose because of lineage-specific erosion of repetitive elements, large segmental deletions, and gene loss. Avian genomes furthermore show a remarkably high degree of evolutionary stasis at the levels of nucleotide sequence, gene synteny, and chromosomal structure. Despite this pattern of conservation, we detected many non-neutral evolutionary changes in protein-coding genes and noncoding regions. These analyses reveal that pan-avian genomic diversity covaries with adaptations to different lifestyles and convergent evolution of traits.

872 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present results from a study in which 953 ran-domly selected individuals in nine Swedish cities answered a questionnaire about their health and their use of different urban open green spaces in and close to the city.

855 citations


Authors

Showing all 13653 results

NameH-indexPapersCitations
Svante Pääbo14740784489
Lars Klareskog13169763281
Stephen Hillier129113883831
Carol V. Robinson12367051896
Jun Yu121117481186
Peter J. Anderson12096663635
David E. Clapham11938258360
Angela M. Gronenborn11356844800
David A. Wardle11040970547
Agneta Oskarsson10676640524
Jack S. Remington10348138006
Hans Ellegren10234939437
Per A. Peterson10235635788
Malcolm J. Bennett9943937207
Gunnar E. Carlsson9846632638
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023116
2022252
20212,311
20201,957
20191,787
20181,624