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Titolo:
Detection of reduction in population size using data from microsatellite loci
Autore:
Garza, JC; Williamson, EG;
Indirizzi:
SW Fisheries Sci Ctr, Santa Cruz Lab, Santa Cruz, CA 95060 USA SW Fisheries Sci Ctr Santa Cruz CA USA 95060 ab, Santa Cruz, CA 95060 USA Univ Calif Berkeley, Dept Integrat Biol, Berkeley, CA 94720 USA Univ CalifBerkeley Berkeley CA USA 94720 at Biol, Berkeley, CA 94720 USA Univ Montpellier, Lab Genome Populat & Interact, CNRS, UMR 5000, F-34095 Montpellier, France Univ Montpellier Montpellier France F-34095 F-34095 Montpellier, France
Titolo Testata:
MOLECULAR ECOLOGY
fascicolo: 2, volume: 10, anno: 2001,
pagine: 305 - 318
SICI:
0962-1083(200102)10:2<305:DORIPS>2.0.ZU;2-U
Fonte:
ISI
Lingua:
ENG
Soggetto:
ALLELE FREQUENCY; MOLECULAR MARKERS; GENETIC-VARIATION; TEMPORAL CHANGES; EXPANSION; MUTATION; DNA; DIFFERENTIATION; INSTABILITY; CONSTRAINTS;
Keywords:
bottleneck; coalescent; conservation; microsatellites; mutation model; population reduction;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Agriculture,Biology & Environmental Sciences
Life Sciences
Citazioni:
49
Recensione:
Indirizzi per estratti:
Indirizzo: Garza, JC SW Fisheries Sci Ctr, Santa Cruz Lab, 110 Shaffer Rd, Santa Cruz, CA 95060USA SW Fisheries Sci Ctr 110 Shaffer Rd Santa Cruz CA USA 95060 0USA
Citazione:
J.C. Garza e E.G. Williamson, "Detection of reduction in population size using data from microsatellite loci", MOL ECOL, 10(2), 2001, pp. 305-318

Abstract

We demonstrate that the mean ratio of the number of alleles to the range in allele size, which we term M, calculated from a population sample of microsatellite loci, can be used to detect reductions in population size. Usingsimulations, we show that, for a general class of mutation models, the value of M decreases when a population is reduced in size. The magnitude of the decrease is positively correlated with the severity and duration of the reduction in size. We also find that the rate of recovery of M following a reduction in size is positively correlated with post-reduction population size, but that recovery occurs in both small and large populations. This indicates that M can distinguish between populations that have been recently reduced in size and those which have been small for a long time. We employ M to develop a statistical test for recent reductions in population size thatcan detect such changes for more than 100 generations with the post-reduction demographic scenarios we examine. We also compute M for a variety of populations and species using microsatellite data collected from the literature. We find that the value of M consistently predicts the reported demographic history for these populations. This method, and others like it, promises to be an important tool for the conservation and management of populations that are in need of intervention or recovery.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 01/04/20 alle ore 18:07:05