Sonstiges: |
- Nachgewiesen in: MEDLINE
- Sprachen: English
- Publication Type: Journal Article; Research Support, Non-U.S. Gov't
- Language: English
- [Nature] 2021 Mar; Vol. 591 (7849), pp. 259-264. <i>Date of Electronic Publication: </i>2021 Mar 03.
- MeSH Terms: Animal Migration* ; Geographic Mapping* ; Memory, Long-Term* ; Falconiformes / *physiology ; Global Warming / *statistics & numerical data ; Animals ; Arctic Regions ; Falconiformes / genetics ; Forecasting
- Comments: Comment in: Nature. 2021 Mar;591(7849):203-204. (PMID: 33658671) ; Erratum in: Nature. 2021 Aug;596(7872):E4. (PMID: 34341539)
- References: McRae, L. et al. Arctic Species Trend Index 2010. Tracking Trends in Arctic Wildlife (CAFF International Secretariat, 2010). ; Lameris, T. K. et al. Potential for an Arctic-breeding migratory bird to adjust spring migration phenology to Arctic amplification. Glob. Change Biol. 23, 4058–4067 (2017). (PMID: 10.1111/gcb.13684) ; Trautmann, S. in Bird Species (ed. Tietze, D. T.) 217–234 (Springer, 2018). ; Zurell, D., Graham, C. H., Gallien, L., Thuiller, W. & Zimmermann, N. E. Long-distance migratory birds threatened by multiple independent risks from global change. Nat. Clim. Change 8, 992–996 (2018). (PMID: 10.1038/s41558-018-0312-9) ; Bay, R. A. et al. Genomic signals of selection predict climate-driven population declines in a migratory bird. Science 359, 83–86 (2018). (PMID: 2930201210.1126/science.aan4380) ; White, C. M., Cade, T. J. & Enderson, J. H. Peregrine Falcons of the World (Lynx, 2013). ; Clark, P. U. et al. The last glacial maximum. Science 325, 710–714 (2009). (PMID: 1966142110.1126/science.1172873) ; Otto-Bliesner, B. L., Marshall, S. J., Overpeck, J. T., Miller, G. H. & Hu, A. Simulating Arctic climate warmth and icefield retreat in the last interglaciation. Science 311, 1751–1753 (2006). (PMID: 1655683810.1126/science.1120808) ; Brambilla, M., Rubolini, D. & Guidali, F. Factors affecting breeding habitat selection in a cliff-nesting peregrine Falco peregrinus population. J. Ornithol. 147, 428–435 (2006). (PMID: 10.1007/s10336-005-0028-2) ; Hausdorff, F. Bemerkung über den Inhalt von Punktmengen. Math. Ann. 75, 428–433 (1914). (PMID: 10.1007/BF01563735) ; Pulido, F. The genetics and evolution of avian migration. Bioscience 57, 165–174 (2007). (PMID: 10.1641/B570211) ; Perdeck, A. C. An experiment on the ending of autumn migration in starlings. Ardea 52, 133–139 (1964). ; Delmore, K. E., Toews, D. P., Germain, R. R., Owens, G. L. & Irwin, D. E. The genetics of seasonal migration and plumage color. Curr. Biol. 26, 2167–2173 (2016). (PMID: 2747659910.1016/j.cub.2016.06.015) ; Impey, S. et al. Stimulation of cAMP response element (CRE)-mediated transcription during contextual learning. Nat. Neurosci. 1, 595–601 (1998). (PMID: 1019656710.1038/2830) ; Bourtchuladze, R. et al. Deficient long-term memory in mice with a targeted mutation of the cAMP-responsive element-binding protein. Cell 79, 59–68 (1994). (PMID: 792337810.1016/0092-8674(94)90400-6) ; Buenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y. & Greenleaf, W. J. Transposition of native chromatin for fast and sensitive epigenomic profiling of open chromatin, DNA-binding proteins and nucleosome position. Nat. Methods 10, 1213–1218 (2013). (PMID: 24097267395982510.1038/nmeth.2688) ; Mayr, B. & Montminy, M. Transcriptional regulation by the phosphorylation-dependent factor CREB. Nat. Rev. Mol. Cell Biol. 2, 599–609 (2001). (PMID: 1148399310.1038/35085068) ; Iguchi-Ariga, S. M. & Schaffner, W. CpG methylation of the cAMP-responsive enhancer/promoter sequence TGACGTCA abolishes specific factor binding as well as transcriptional activation. Genes Dev. 3, 612–619 (1989). (PMID: 254552410.1101/gad.3.5.612) ; Bartsch, D. et al. Aplysia CREB2 represses long-term facilitation: relief of repression converts transient facilitation into long-term functional and structural change. Cell 83, 979–992 (1995). (PMID: 852152110.1016/0092-8674(95)90213-9) ; Wieczorek, L. et al. Absence of Ca 2+ -stimulated adenylyl cyclases leads to reduced synaptic plasticity and impaired experience-dependent fear memory. Transl. Psychiatry 2, e126 (2012). (PMID: 22832970336526910.1038/tp.2012.50) ; Rosenegger, D., Wright, C. & Lukowiak, K. A quantitative proteomic analysis of long-term memory. Mol. Brain 3, 9 (2010). (PMID: 20331892286048710.1186/1756-6606-3-9) ; Ferguson, G. D. & Storm, D. R. Why calcium-stimulated adenylyl cyclases? Physiology (Bethesda) 19, 271–276 (2004). ; Zhang, M. et al. Ca-stimulated type 8 adenylyl cyclase is required for rapid acquisition of novel spatial information and for working/episodic-like memory. J. Neurosci. 28, 4736–4744 (2008). (PMID: 18448650286525410.1523/JNEUROSCI.1177-08.2008) ; Yin, J. C. & Tully, T. CREB and the formation of long-term memory. Curr. Opin. Neurobiol. 6, 264–268 (1996). (PMID: 872597010.1016/S0959-4388(96)80082-1) ; Wauchope, H. S. et al. Rapid climate-driven loss of breeding habitat for Arctic migratory birds. Glob. Change Biol. 23, 1085–1094 (2017). (PMID: 10.1111/gcb.13404) ; Lok, T., Overdijk, O. & Piersma, T. The cost of migration: spoonbills suffer higher mortality during trans-Saharan spring migrations only. Biol. Lett. 11, 20140944 (2015). (PMID: 25589489432115710.1098/rsbl.2014.0944) ; Brown, J. W. et al. Appraisal of the consequences of the DDT-induced bottleneck on the level and geographic distribution of neutral genetic variation in Canadian peregrine falcons, Falco peregrinus. Mol. Ecol. 16, 327–343 (2007). (PMID: 1721734810.1111/j.1365-294X.2007.03151.x) ; Wilcove, D. S. & Wikelski, M. Going, going, gone: is animal migration disappearing. PLoS Biol. 6, e188 (2008). (PMID: 18666834248631210.1371/journal.pbio.0060188) ; Mueller, J. C., Pulido, F. & Kempenaers, B. Identification of a gene associated with avian migratory behaviour. Proc. R. Soc. Lond. B 278, 2848–2856 (2011). ; Peterson, M. P. et al. Variation in candidate genes CLOCK and ADCYAP1 does not consistently predict differences in migratory behavior in the songbird genus Junco. F1000Res. 2, 115 (2013). (PMID: 24627781390715810.12688/f1000research.2-115.v1) ; Douglas, D. C. et al. Moderating Argos location errors in animal tracking data. Methods Ecol. Evol. 3, 999–1007 (2012). (PMID: 10.1111/j.2041-210X.2012.00245.x) ; Mueller, T., O’Hara, R. B., Converse, S. J., Urbanek, R. P. & Fagan, W. F. Social learning of migratory performance. Science 341, 999–1002 (2013). (PMID: 2399055910.1126/science.1237139) ; Trierweiler, C. et al. Migratory connectivity and population-specific migration routes in a long-distance migratory bird. Proc. R. Soc. Lond. B 281, 20132897 (2014). ; Ambrosini, R., Møller, A. P. & Saino, N. A quantitative measure of migratory connectivity. J. Theor. Biol. 257, 203–211 (2009). (PMID: 1910877810.1016/j.jtbi.2008.11.019) ; Baddeley, A., Rubak, E. & Turner, R. Spatial Point Patterns: Methodology and Applications with R (Chapman and Hall/CRC, 2015). ; López-López, D. P., García-Ripollés, C. & Urios, V. Individual repeatability in timing and spatial flexibility of migration routes of trans-Saharan migratory raptors. Curr. Zool. 60, 642–652 (2014). (PMID: 10.1093/czoolo/60.5.642) ; Benhamou, S. How to reliably estimate the tortuosity of an animal’s path: straightness, sinuosity, or fractal dimension? J. Theor. Biol. 229, 209–220 (2004). (PMID: 1520747610.1016/j.jtbi.2004.03.016) ; Stoffel, M. A., Nakagawa, S. & Schielzeth, H. rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models. Methods Ecol. Evol. 8, 1639–1644 (2017). (PMID: 10.1111/2041-210X.12797) ; Cohen, J. Statistical Power Analysis for the Behavioral Sciences (Routledge Academic, 1988). ; Ganusevich, S. A. et al. Autumn migration and wintering areas of peregrine falcons Falco peregrinus nesting on the Kola Peninsula, northern Russia. Ibis 146, 291–297 (2004). (PMID: 10.1046/j.1474-919X.2004.00253.x) ; Bolger, A. M., Lohse, M. & Usadel, B. Trimmomatic: a flexible trimmer for Illumina sequence data. Bioinformatics 30, 2114–2120 (2014). (PMID: 24695404410359010.1093/bioinformatics/btu170) ; Zhao, S. et al. Whole-genome sequencing of giant pandas provides insights into demographic history and local adaptation. Nat. Genet. 45, 67–71 (2013). (PMID: 2324236710.1038/ng.2494) ; Damas, J. et al. Upgrading short-read animal genome assemblies to chromosome level using comparative genomics and a universal probe set. Genome Res. 27, 875–884 (2017). (PMID: 27903645541178110.1101/gr.213660.116) ; Zhan, X. et al. Peregrine and saker falcon genome sequences provide insights into evolution of a predatory lifestyle. Nat. Genet. 45, 563–566 (2013). (PMID: 2352507610.1038/ng.2588) ; Li, H. & Durbin, R. Fast and accurate short read alignment with Burrows–Wheeler transform. Bioinformatics 25, 1754–1760 (2009). (PMID: 19451168270523410.1093/bioinformatics/btp324) ; DePristo, M. A. et al. A framework for variation discovery and genotyping using next-generation DNA sequencing data. Nat. Genet. 43, 491–498 (2011). (PMID: 21478889308346310.1038/ng.806) ; Rodríguez-Ramilo, S. T. & Wang, J. The effect of close relatives on unsupervised Bayesian clustering algorithms in population genetic structure analysis. Mol. Ecol. Resour. 12, 873–884 (2012). (PMID: 2263986810.1111/j.1755-0998.2012.03156.x) ; Purcell, S. et al. PLINK: a tool set for whole-genome association and population-based linkage analyses. Am. J. Hum. Genet. 81, 559–575 (2007). (PMID: 17701901195083810.1086/519795) ; Schliep, K. P. phangorn: phylogenetic analysis in R. Bioinformatics 27, 592–593 (2011). (PMID: 2116937810.1093/bioinformatics/btq706) ; Tang, H. et al. Genetic structure, self-identified race/ethnicity, and confounding in case–control association studies. Am. J. Hum. Genet. 76, 268–275 (2005). (PMID: 1562562210.1086/427888) ; Terhorst, J., Kamm, J. A. & Song, Y. S. Robust and scalable inference of population history from hundreds of unphased whole genomes. Nat. Genet. 49, 303–309 (2017). (PMID: 2802415410.1038/ng.3748) ; Staab, P. R., Zhu, S., Metzler, D. & Lunter, G. scrm: efficiently simulating long sequences using the approximated coalescent with recombination. Bioinformatics 31, 1680–1682 (2015). (PMID: 25596205442683310.1093/bioinformatics/btu861) ; Pudlo, P. et al. Reliable ABC model choice via random forests. Bioinformatics 32, 859–866 (2016). (PMID: 2658927810.1093/bioinformatics/btv684) ; Csilléry, K., François, O. & Blum, M. G. abc: an R package for approximate Bayesian computation (ABC). Methods Ecol. Evol. 3, 475–479 (2012). (PMID: 10.1111/j.2041-210X.2011.00179.x) ; Hijmans, R. J., Phillips, S., Leathwick, J. & Elith, J. dismo: species distribution modeling. R package version 1.3-3 https://cran.r-project.org/package=dismo (2020). ; Calenge, C. adhabitatHR: home range estimation. R package version 0.4.19 https://cran.r-project.org/package=adehabitatHR (2021). ; Fick, S. E. & Hijmans, R. J. WorldClim2: new 1‐km spatial resolution climate surfaces for global land areas. Int. J. Climatol. 37, 4302–4315 (2017). (PMID: 10.1002/joc.5086) ; Beyer, R. M., Krapp, M. & Manica, A. High-resolution terrestrial climate, bioclimate and vegetation for the last 120,000 years. Sci. Data 7, 236 (2020). (PMID: 32665576736061710.1038/s41597-020-0552-1) ; Tarasov, P. E. et al. Last glacial maximum biomes reconstructed from pollen and plant macrofossil data from northern Eurasia. J. Biogeogr. 27, 609–620 (2000). ; Borchers, H. W. pracma: practical numerical math functions. R package version 2.3.3 https://cran.r-project.org/package=pracma (2021). ; Danecek, P. et al. The variant call format and VCFtools. Bioinformatics 27, 2156–2158 (2011). (PMID: 21653522313721810.1093/bioinformatics/btr330) ; Beck, H. E. et al. Present and future Köppen–Geiger climate classification maps at 1-km resolution. Sci. Data 5, 180214 (2018). (PMID: 30375988620706210.1038/sdata.2018.214) ; Sabeti, P. C. et al. Genome-wide detection and characterization of positive selection in human populations. Nature 449, 913–918 (2007). (PMID: 17943131268772110.1038/nature06250) ; Beissinger, T. M., Rosa, G. J., Kaeppler, S. M., Gianola, D. & de Leon, N. Defining window-boundaries for genomic analyses using smoothing spline techniques. Genet. Sel. Evol. 47, 30 (2015). (PMID: 25928167440411710.1186/s12711-015-0105-9) ; Szpiech, Z. A. & Hernandez, R. D. selscan: an efficient multithreaded program to perform EHH-based scans for positive selection. Mol. Biol. Evol. 31, 2824–2827 (2014). (PMID: 25015648416692410.1093/molbev/msu211) ; Browning, S. R. & Browning, B. L. Rapid and accurate haplotype phasing and missing-data inference for whole-genome association studies by use of localized haplotype clustering. Am. J. Hum. Genet. 81, 1084–1097 (2007). (PMID: 17924348226566110.1086/521987) ; Zheng, G. X. et al. Haplotyping germline and cancer genomes with high-throughput linked-read sequencing. Nat. Biotechnol. 34, 303–311 (2016). (PMID: 26829319478645410.1038/nbt.3432) ; François, O., Martins, H., Caye, K. & Schoville, S. D. Controlling false discoveries in genome scans for selection. Mol. Ecol. 25, 454–469 (2016). (PMID: 2667184010.1111/mec.13513) ; Fariello, M. I., Boitard, S., Naya, H., SanCristobal, M. & Servin, B. Detecting signatures of selection through haplotype differentiation among hierarchically structured populations. Genetics 193, 929–941 (2013). (PMID: 23307896358400710.1534/genetics.112.147231) ; Bonhomme, M. et al. Detecting selection in population trees: the Lewontin and Krakauer test extended. Genetics 186, 241–262 (2010). (PMID: 20855576294029010.1534/genetics.110.117275) ; Frichot, E. & François, O. LEA: an R package for landscape and ecological association studies. Methods Ecol. Evol. 6, 925–929 (2015). (PMID: 10.1111/2041-210X.12382) ; Pan, S. et al. Population transcriptomes reveal synergistic responses of DNA polymorphism and RNA expression to extreme environments on the Qinghai–Tibetan Plateau in a predatory bird. Mol. Ecol. 26, 2993–3010 (2017). (PMID: 2827761710.1111/mec.14090) ; Zhang, Y. et al. An RNA-sequencing transcriptome and splicing database of glia, neurons, and vascular cells of the cerebral cortex. J. Neurosci. 34, 11929–11947 (2014). (PMID: 25186741415260210.1523/JNEUROSCI.1860-14.2014) ; Yang, L. et al. TFBSshape: a motif database for DNA shape features of transcription factor binding sites. Nucleic Acids Res. 42, D148–D155 (2014). (PMID: 2421495510.1093/nar/gkt1087) ; Buenrostro, J. D., Wu, B., Chang, H. Y. & Greenleaf, W. J. ATAC-seq: a method for assaying chromatin accessibility genome-wide. Curr. Protoc. Mol. Biol. 109, 21–29 (2015). (PMID: 25559105437498610.1002/0471142727.mb2129s109) ; Li, R. et al. De novo assembly of human genomes with massively parallel short read sequencing. Genome Res. 20, 265–272 (2010). (PMID: 20019144281348210.1101/gr.097261.109) ; Barbato, M., Orozco-terWengel, P., Tapio, M. & Bruford, M. W. SNeP: a tool to estimate trends in recent effective population size trajectories using genome-wide SNP data. Front. Genet. 6, 109 (2015). (PMID: 25852748436743410.3389/fgene.2015.00109) ; Pitt, D. et al. Demography and rapid local adaptation shape Creole cattle genome diversity in the tropics. Evol. Appl. 12, 105–122 (2019). (PMID: 3062263910.1111/eva.12641) ; Carlzon, L., Karlsson, A., Falk, K., Liess, A. & Møller, S. Extreme weather affects peregrine falcon (Falco peregrinus tundrius) breeding success in South Greenland. Ornis Hungarica 26, 38–50 (2018). (PMID: 10.1515/orhu-2018-0014) ; Franke, A. et al. Status and trends of circumpolar peregrine falcon and gyrfalcon populations. Ambio 49, 762–783 (2020). (PMID: 3185848810.1007/s13280-019-01300-z)
- Entry Date(s): Date Created: 20210304 Date Completed: 20210802 Latest Revision: 20230129
- Update Code: 20240513
|