Dataset.

Data from: Field heritability of a plant adaptation to fire in heterogeneous landscapes

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282845
Digital.CSIC. Repositorio Institucional del CSIC
  • Castellanos, María Clara
  • González-Martínez, Santiago C.
  • Pausas, J. G.
Pinus phenotypic data and locality descriptions Phenotypes (serotiny and tree diameter) and locality descriptors (stand, coordinates, etc) for 367 Pinus halpensis and 194 Pinus pinster individuals from SE Spain. Please note: these data are a subset of the dataset originally collected by Hernández-Serrano et al. (2013) Fire structures pine serotiny at different scales. American Journal of Botany 100, 2349-2356. Pinus_phenotypes_and_localities.txt Gmatrix_P.halepensis Tab-delimited text file with symetrical matrix showing pairwise relatedness estimates for 367 individuals of Pinus halepensis. Diagonal estimates are included. Estimates are based on 251 SNPs and were estimated with the synbreed package in R. Gmatrix P.pinaster Tab-delimited text file with symetrical matrix showing pairwise relatedness estimates for 194 individuals of Pinus pinaster. Diagonal estimates are included. Estimates are based on 251 SNPs and were estimated with the synbreed package in R. Gmatrix_P.pinaster.txt, The strong association observed between fire regimes and variation in plant adaptations to fire suggests a rapid response to fire as an agent of selection. It also suggests that fire-related traits are heritable, a precondition for evolutionary change. One example is serotiny, the accumulation of seeds in unopened fruits or cones until the next fire, an important strategy for plant population persistence in fire-prone ecosystems. Here, we evaluate the potential of this trait to respond to natural selection in its natural setting. For this, we use a SNP marker approach to estimate genetic variance and heritability of serotiny directly in the field for two Mediterranean pine species. Study populations were large and heterogeneous in climatic conditions and fire regime. We first estimated the realized relatedness among trees from genotypes, and then partitioned the phenotypic variance in serotiny using Bayesian animal models that incorporated environmental predictors. As expected, field heritability was smaller (around 0.10 for both species) than previous estimates under common garden conditions (0.20). An estimate on a subset of stands with more homogeneous environmental conditions was not different from that in the complete set of stands, suggesting that our models correctly captured the environmental variation at the spatial scale of the study. Our results highlight the importance of measuring quantitative genetic parameters in natural populations, where environmental heterogeneity is a critical aspect. The heritability of serotiny, although not high, combined with high phenotypic variance within populations, confirms the potential of this fire-related trait for evolutionary change in the wild., Peer reviewed
 
DOI: http://hdl.handle.net/10261/282845, http://datadryad.org/stash/dataset/doi:10.5061/dryad.r6fr1
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282845

HANDLE: http://hdl.handle.net/10261/282845, http://datadryad.org/stash/dataset/doi:10.5061/dryad.r6fr1
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282845
 
Ver en: http://hdl.handle.net/10261/282845, http://datadryad.org/stash/dataset/doi:10.5061/dryad.r6fr1
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282845

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/282845
Dataset. 2015

DATA FROM: FIELD HERITABILITY OF A PLANT ADAPTATION TO FIRE IN HETEROGENEOUS LANDSCAPES

Digital.CSIC. Repositorio Institucional del CSIC
  • Castellanos, María Clara
  • González-Martínez, Santiago C.
  • Pausas, J. G.
Pinus phenotypic data and locality descriptions Phenotypes (serotiny and tree diameter) and locality descriptors (stand, coordinates, etc) for 367 Pinus halpensis and 194 Pinus pinster individuals from SE Spain. Please note: these data are a subset of the dataset originally collected by Hernández-Serrano et al. (2013) Fire structures pine serotiny at different scales. American Journal of Botany 100, 2349-2356. Pinus_phenotypes_and_localities.txt Gmatrix_P.halepensis Tab-delimited text file with symetrical matrix showing pairwise relatedness estimates for 367 individuals of Pinus halepensis. Diagonal estimates are included. Estimates are based on 251 SNPs and were estimated with the synbreed package in R. Gmatrix P.pinaster Tab-delimited text file with symetrical matrix showing pairwise relatedness estimates for 194 individuals of Pinus pinaster. Diagonal estimates are included. Estimates are based on 251 SNPs and were estimated with the synbreed package in R. Gmatrix_P.pinaster.txt, The strong association observed between fire regimes and variation in plant adaptations to fire suggests a rapid response to fire as an agent of selection. It also suggests that fire-related traits are heritable, a precondition for evolutionary change. One example is serotiny, the accumulation of seeds in unopened fruits or cones until the next fire, an important strategy for plant population persistence in fire-prone ecosystems. Here, we evaluate the potential of this trait to respond to natural selection in its natural setting. For this, we use a SNP marker approach to estimate genetic variance and heritability of serotiny directly in the field for two Mediterranean pine species. Study populations were large and heterogeneous in climatic conditions and fire regime. We first estimated the realized relatedness among trees from genotypes, and then partitioned the phenotypic variance in serotiny using Bayesian animal models that incorporated environmental predictors. As expected, field heritability was smaller (around 0.10 for both species) than previous estimates under common garden conditions (0.20). An estimate on a subset of stands with more homogeneous environmental conditions was not different from that in the complete set of stands, suggesting that our models correctly captured the environmental variation at the spatial scale of the study. Our results highlight the importance of measuring quantitative genetic parameters in natural populations, where environmental heterogeneity is a critical aspect. The heritability of serotiny, although not high, combined with high phenotypic variance within populations, confirms the potential of this fire-related trait for evolutionary change in the wild., Peer reviewed





1106