Water availability drives signatures of local adaptation in whitebark pine (Pinus albicaulis Engelm.) across fine spatial scales of the Lake Tahoe Basin, USA.

@article{Lind2017WaterAD,
  title={Water availability drives signatures of local adaptation in whitebark pine (Pinus albicaulis Engelm.) across fine spatial scales of the Lake Tahoe Basin, USA.},
  author={Brandon M Lind and Christopher J. Friedline and Jill L. Wegrzyn and Patricia E. Maloney and Detlev R. Vogler and David B. Neale and Andrew Eckert},
  journal={Molecular ecology},
  year={2017},
  volume={26 12},
  pages={3168-3185}
}
Patterns of local adaptation at fine spatial scales are central to understanding how evolution proceeds, and are essential to the effective management of economically and ecologically important forest tree species. Here, we employ single and multilocus analyses of genetic data (n = 116 231 SNPs) to describe signatures of fine-scale adaptation within eight whitebark pine (Pinus albicaulis Engelm.) populations across the local extent of the environmentally heterogeneous Lake Tahoe Basin, USA. We… CONTINUE READING

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Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
Specifically , we build upon evidence from a common garden study and find that allele frequencies of loci associated with four phenotypes ( mean = 236 SNPs ) , 18 environmental variables ( mean = 99 SNPs ) , and those detected through genetic differentiation ( n = 110 SNPs ) exhibit significantly higher signals of selection ( covariance of allele frequencies ) than could be expected to arise , given the data
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