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Título

On the feasibility of estimating contemporary effective population size (N<inf>e</inf>) for genetic conservation and monitoring of forest trees

AutorSantos-del-Blanco, Luis; Olsson, Sanna; Budde, Katharina B.; Grivet, Delphine; González-Martínez, Santiago C.; Alía Miranda, Ricardo; Robledo-Arnuncio, Juan José
Palabras claveEffective size
Estimation bias
Genetic drift
Isolation by distance
Linkage disequilibrium
Maritime pine
Fecha de publicación1-sep-2022
EditorElsevier
CitaciónBiological Conservation 273: e109704 (2022)
ResumenEstimates of contemporary effective population size (Ne) can provide valuable information for genetic conservation and monitoring, pinpointing populations at higher risk of genetic erosion, decreased fitness, maladaptation and, ultimately, demographic decline. There are however potential limitations in the application of commonly employed genetic estimators of contemporary Ne to widespread forest tree populations. Genetic isolation by distance within populations, small and spatially restricted samples, among-population gene flow and overlapping generations are factors that can potentially affect the accuracy of marker-based estimates of contemporary Ne, depending on the demographic scenario. In particular, we illustrate the uncertainty faced by forest researchers and managers when interpreting contemporary Ne estimates obtained for continuously distributed tree populations with large census size N. To that end, we use previously published genotypic data of 21 Pinus pinaster populations, including distinct sampling schemes, together with a widely used method based on linkage disequilibrium patterns observed in a single (one-time) population sample. We hypothesize that spatially restricted sampling might be the main putative factor behind the apparently low Ne/N estimates obtained for the large and continuously-distributed populations studied here. Because of its statistically-inherent assessment difficulty, we call for caution when interpreting marker-based estimates of contemporary Ne for monitoring widely-distributed tree populations or small genetic conservation units embedded within large continuous tree populations.
Descripción7 Pág.  Instituto de Ciencias Forestales (ICIFOR)
Versión del editorhttps://doi.org/10.1016/j.biocon.2022.109704
URIhttp://hdl.handle.net/10261/296615
DOI10.1016/j.biocon.2022.109704
ISSN0006-3207
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