Estimating gametic introgression rates in a risk assessment context: A case study with Scots pine relicts

Heredity

Volumn 103, Issue 5, 2009, Pages 385-393

  Robledo Arnuncio, J J ^a   Navascues M ^b,c   Gonzalez Martinez S C ^a   Gil, L ^c  

^a Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria   (Spain)

^b UPMC University Paris 06   (France)

^c UNIVERSIDAD POLITÉCNICA DE MADRID   (Spain)

Author keywords

Gene flow; Genetic introgression; Long distance pollen and seed dispersal; Maximum likelihood; Recent migration

Indexed keywords

PLANT DNA;

BOOTSTRAPPING; CONIFEROUS TREE; DECISION MAKING; ENDANGERED SPECIES; GENE FLOW; IMMIGRATION; INTROGRESSION; MIGRATORY BEHAVIOR; PLANTATION; RISK ASSESSMENT; SEED DISPERSAL;

ARTICLE; BIOLOGICAL MODEL; ECOSYSTEM; FOSSIL; GENE FLOW; GENE FREQUENCY; GENETIC VARIABILITY; GENETICS; GEOGRAPHY; HAPLOTYPE; METHODOLOGY; PHYSIOLOGY; PLANT SEED; POLLEN; POPULATION DYNAMICS; POPULATION GENETICS; RISK ASSESSMENT; SCOTS PINE;

DNA, PLANT; ECOSYSTEM; FOSSILS; GENE FLOW; GENE FREQUENCY; GENETIC VARIATION; GENETICS, POPULATION; GEOGRAPHY; HAPLOTYPES; MODELS, GENETIC; PINUS SYLVESTRIS; POLLEN; POPULATION DYNAMICS; RISK ASSESSMENT; SEEDS;

PINUS SYLVESTRIS;

EID: 70350286218     PISSN: 0018067X     EISSN: 13652540     Source Type: Journal    
DOI: 10.1038/hdy.2009.78     Document Type: Article

References (25)

1. Adams WT, Hipkins VD, Burczyk J, Randall WK (1997). Pollen contamination trends in a maturing Douglas-fir seed orchard. Can J For Res 27: 131-134.
2. Alia R, Notivol E, Moro J (2001). Genetic variability of Spanish provenances of Scots pine (Pinus sylvestris L.): growth traits and survival. Silva Fenn 35: 27-38.
3. Coles S (2001). An Introduction to Statistical Modeling of Extreme Values. Springer: London.
4. Cornuet JM, Piry S, Luikart G, Estoup A, Solignac M (1999). New methods employing multilocus genotypes to select or exclude populations as origins of individuals. Genetics 153: 1989-2000.
5. Farjon A (1998). World Checklist and Bibliography of Conifers. Royal Botanic Gardens, Kew.
6. Faubet P, Gaggiotti OE (2008). A new bayesian method to identify the environmental factors that influence recent migration. Genetics 178: 1491-1504.
7. Faubet P, Waples RS, Gaggiotti OE (2007). Evaluating the performance of a multilocus Bayesian method for the estimation of migration rates. Mol Ecol 16: 1149-1166.
8. Hu XS, Ennos RA (1999). Impacts of seed and pollen flow on population genetic structure for plant genomes with three contrasting modes of inheritance. Genetics 152: 441-450.
9. Lenormand T (2002). Gene flow and the limits to natural selection. Trends Ecol Evol 17: 183-189.
10. Lopez S, Rousset F, Shaw FH, Shaw RG, Ronce O (2008). Migration load in plants: role of pollen and seed dispersal in heterogeneous landscapes. J Evolution Biol 21: 293-309.
11. Manel S, Gaggiotti OE, Waples RS (2005). Assignment methods: matching biological questions with appropriate techniques. Trends Ecol Evol 20: 136-142.
12. Manly BFJ (1997). Randomization, Bootstrap and Monte Carlo Methods in Biology, 2nd edn. Chapman & Hall: London.
13. Mercer KL, Wainwright JD (2008). Gene flow from transgenic maize to landraces in Mexico: an analysis. Agr Ecosyst Environ 123: 109-115.
14. Paetkau D, Calvert W, Stirling I, Strobeck C (1995). Microsatellite analysis of population structure in Canadian polar bears. Mol Ecol 4: 347-354.
15. Paetkau D, Slade R, Burden M, Estoup A (2004). Genetic assignment methods for the direct, real-time estimation of migration rate: a simulation-based exploration of accuracy and power. Mol Ecol 13: 55-65.
16. Pella J, Masuda M (2001). Bayesian methods for analysis of stock mixtures from genetic characters. Fish bull 99: 151-167.
17. Plomion C, LeProvost G, Pot D, Vendramin G, Gerber S, Decroocq S et al. (2001). Pollen contamination in a maritime pine polycross seed orchard and certification of improved seeds using chloroplast microsatellites. Can J Forest Res 31: 1816-1825.
18. Provan J, Soranzo N, Wilson NJ, McNicol JW, Forrest GI, Cottrell J et al. (1998). Gene-pool variation in Caledonian and European Scots pine (Pinus sylvestris L.) revealed by chloroplast simple-sequence repeats. P Roy Soc Lond B Bio 265: 1697-1705.
19. Rannala B, Mountain JL (1997). Detecting immigration by using multilocus genotypes. P Natl Acad Sci USA 94: 9197-9201.
20. Robledo-Arnuncio JJ, Collada C, Alia R, Gil L (2005). Genetic structure of montane isolates of Pinus sylvestris L. in a Mediterranean refugial area. J Biogeogr 32: 595-605.
21. Sinclair WT, Morman JD, Ennos RA (1999). The postglacial history of Scots pine (Pinus sylvestris L.) in western Europe: evidence frommitochondrial DNAvariation. Mol Ecol 8: 83-88.
22. Slavov GT, Howe GT, Gyaourova AV, Birkes DS, Adams WT (2005). Estimating pollen flow using SSR markers and paternity exclusion: accounting for mistyping. Mol Ecol 14: 3109-3121.
23. Stoehr MU, Newton CR (2002). Evaluation of mating dynamics in a lodgepole pine seed orchard using chloroplast DNA markers. Can J Forest Res 32: 469-476.
24. Vendramin G, Lelli L, Rossi P, Morgante M (1996). A set of primers for the amplification of 20 chloroplast microsatellites in Pinaceae. Mol Ecol 5: 595-598.
25. Wilson GA, Rannala B (2003). Bayesian inference of recent migration rates using multilocus genotypes. Genetics 163: 1177-1191.