Abstract
Aims
To assess the genetic patterns of colonisation of metalliferous areas by the pseudometallophyte Cistus ladanifer with AFLP genome scan, to compare those estimates with previous cpSSR results, and to identify loci potentially linked to tolerance to metalliferous soils.
Methods
Thirty-three populations were screened with AFLP markers. Statistical analyses included estimation of genetic diversity, hierarchical analysis of molecular variation and Bayesian analysis of geographical partitioning of genetic diversity. Mantel tests and Spearman’s correlation index were used to compare results obtained with AFLP and cpSSR. Generalized Estimating Equations (GEE) models were applied to correlate allele frequency distribution and soil variables (pH, Ca:Mg ratio and total contents of different trace metals).
Results
Metallicolous and non-metallicolous populations of C. ladanifer showed neither different levels of genetic diversity, nor genetic differentiation between population types. Incongruence in genetic diversity estimates between AFLP and cpSSR due to marker-specific properties was observed. Nonetheless, pairwise distance matrices computed with both markers were concordant. GEE analyses showed that the Mn total soil content has an important effect on the allele distribution in C. ladanifer. In contrast, the Ca:Mg ratio seems to have no selective effect. Moreover, we identified a particular band with a putative role in the species’ tolerance to high Mn concentrations in the soil.
Conclusions
The soil type had no influence over this species’ genetic structure. GEE showed their usefulness in revealing the association between soil variables and AFLP loci.
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Acknowledgments
Dr. Isabel Evaristo (INRB L-INIA) collaborated in the optimization of the AFLP protocol. Alessio Mengoni and two anonymous referees provided useful comments that improved the manuscript. Miguel González Szamocki revised the English usage.
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Quintela-Sabarís, C., Ribeiro, M.M., Poncet, B. et al. AFLP analysis of the pseudometallophyte Cistus ladanifer: comparison with cpSSRs and exploratory genome scan to investigate loci associated to soil variables. Plant Soil 359, 397–413 (2012). https://doi.org/10.1007/s11104-012-1221-8
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DOI: https://doi.org/10.1007/s11104-012-1221-8