Institution
Swedish University of Agricultural Sciences
Education•Uppsala, 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.
Topics: Population, Soil water, Species richness, Biodiversity, Gene
Papers published on a yearly basis
Papers
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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
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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
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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
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University of Copenhagen1, Beijing Genomics Institute2, Royal Veterinary College3, Seoul National University4, University of Nebraska–Lincoln5, University of Porto6, University of South Carolina7, Montclair State University8, Uppsala University9, National University of Singapore10, University of California, Berkeley11, South China University of Technology12, Chinese Academy of Sciences13, Kunming Institute of Zoology14, Howard Hughes Medical Institute15, Aberystwyth University16, University of Kent17, University of California, Riverside18, Mississippi State University19, Austral University of Chile20, Swedish University of Agricultural Sciences21, China Agricultural University22, Cardiff University23, Copenhagen Zoo24, Louisiana State University25, Washington University in St. Louis26, Xi'an Jiaotong University27, University of California, Santa Cruz28, Nova Southeastern University Oceanographic Center29, Smithsonian Conservation Biology Institute30, National Museum of Natural History31, Natural History Museum32, University of California, San Francisco33, Harvard University34, University of Florida35, University of Edinburgh36, New Mexico State University37, Macau University of Science and Technology38, Curtin University39
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
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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
Name | H-index | Papers | Citations |
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Svante Pääbo | 147 | 407 | 84489 |
Lars Klareskog | 131 | 697 | 63281 |
Stephen Hillier | 129 | 1138 | 83831 |
Carol V. Robinson | 123 | 670 | 51896 |
Jun Yu | 121 | 1174 | 81186 |
Peter J. Anderson | 120 | 966 | 63635 |
David E. Clapham | 119 | 382 | 58360 |
Angela M. Gronenborn | 113 | 568 | 44800 |
David A. Wardle | 110 | 409 | 70547 |
Agneta Oskarsson | 106 | 766 | 40524 |
Jack S. Remington | 103 | 481 | 38006 |
Hans Ellegren | 102 | 349 | 39437 |
Per A. Peterson | 102 | 356 | 35788 |
Malcolm J. Bennett | 99 | 439 | 37207 |
Gunnar E. Carlsson | 98 | 466 | 32638 |