Ülo Väli

Dr. Ülo Väli

Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, 51006 Tartu, Estonia
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Research Focus & Metrics

Academic Career Length

26Years (2001-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 August 2008 in Molecular Ecology
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Ülo VäliÜlo Väli
Ülo Väli
AEAnnika Einarsson
Annika Einarsson
LWLisette Waits
Lisette Waits
HEHans Ellegren
Hans Ellegren

22 January 2008 in BMC Genomic Data
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Ülo VäliÜlo Väli
Ülo Väli
MDMikael Brandström Durling
Mikael Brandström Durling
MJMalin Johansson
Malin Johansson
HEHans Ellegren
Hans Ellegren
Background: We introduce the use of short insertion-deletion polymorphisms (indels) for genetic analysis of natural populations. Results: Sequence reads from light shot-gun sequencing efforts of different dog breeds were aligned to the dog genome reference sequence and gaps corresponding to indels were identified. One hundred candidate markers (4-bp indels) were selected and genotyped in unrelated dogs (n = 7) and wolves (n = 18). Eighty-one and 76 out of 94 could be validated as polymorphic loci in the respective sample. Mean indel heterozygosity in a diverse set of wolves was 19%, and 74% of the loci had a minor allele frequency of >10%. Indels found to be polymorphic in wolves were subsequently genotyped in a highly bottlenecked Scandinavian wolf population. Fifty-one loci turned out to be polymorphic, showing their utility even in a population with low genetic diversity. In this population, individual heterozygosity measured at indel and microsatellite loci were highly correlated. Conclusion: With an increasing amount of sequence information gathered from non-model organisms, we suggest that indels will come to form an important source of genetic markers, easy and cheap to genotype, for studies of natural populations.

5 April 2024 in Biological Conservation
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JSJuan Serratosa
Juan Serratosa
SOSteffen Oppel
Steffen Oppel
SRShay Rotics
Shay Rotics
ASAndrea Santangeli
Andrea Santangeli
SBStuart H.M. Butchart
Stuart H.M. Butchart
VJVictoria R. Jones
Victoria R. Jones

1 January 2010 in Journal of Avian Biology
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Ülo VäliÜlo Väli
Ülo Väli
PSPauli Saag
Pauli Saag
VDValery Dombrovski
Valery Dombrovski
BMBernd‐Ulrich Meyburg
Bernd‐Ulrich Meyburg
GMGrzegorz Maciorowski
Grzegorz Maciorowski
SFSofie Fagerberg
Sofie Fagerberg

29 June 2010 in Biological Journal of the Linnean Society
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Ülo VäliÜlo Väli
Ülo Väli
VDValery Dombrovski
Valery Dombrovski
RTRimgaudas Treinys
Rimgaudas Treinys
UBUgis Bergmanis
Ugis Bergmanis
SDSzilárd J. Daróczi
Szilárd J. Daróczi
HEHans Ellegren
Hans Ellegren

15 August 2018 in Proceedings Of The Royal Society B-Biological Sciences
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Ülo VäliÜlo Väli
Ülo Väli
Paweł MirskiPaweł Mirski
Paweł Mirski
USUrmas Sellis
Urmas Sellis
MDMindaugas Dagys
Mindaugas Dagys
GMGrzegorz Maciorowski
Grzegorz Maciorowski
The relative contributions of genetic and social factors in shaping the living world are a crucial question in ecology. The annual migration of birds to their wintering grounds and back provides significant knowledge in this field of research. Migratory movements are predominantly genetically determined in passerine birds, while in large soaring birds, it is presumed that social (cultural) factors play the largest role. In this study, we show that genetic factors in soaring birds are more important than previously assumed. We used global positioning system (GPS)-telemetry to compare the autumn journeys and wintering ranges of two closely related large raptorial bird species, the greater spotted eagleClanga clangaand the lesser spotted eagleClanga pomarina, and hybrids between them. The timing of migration in hybrids was similar to that of one parental species, but the wintering distributions and home range sizes were similar to those of the other. Tracking data were supported by habitat suitability modelling, based on GPS fixes and ring recoveries. These results suggest a strong genetic influence on migration strategy via a trait-dependent dominance effect, although we cannot rule out the contribution of social interactions.