The influence of space in genetic-environmental relationships when environmental heterogeneity and seed dispersal occur at similar scale

S. Volis, Y. Anikster, L. Olsvig-Whittaker, S. Mendlinger

    Research output: Contribution to journalArticlepeer-review

    14 Scopus citations

    Abstract

    We tested the importance of microenvironmental topographic parameters as predictors of emmer wheat genetic variation using three classes of single-locus (or at most several-loci) genetic markers (allozymes, glutenins, and qualitative traits) and two classes of markers of polygenic inheritance (phenological and morphological traits). Canonical correspondence analysis (CCA) and redundancy analysis (RDA) detected a significant effect of spatially structured environmental variation on genetic differences between plants for allozymes, glutenins, and quantitative morphological and phenological traits. However, after removing a spatial component of variation in partial CCA and partial RDA, the relationship of the remaining environmental variation with these genetic markers could be explained by chance alone, allowing us to rule out microniche topographic specialization in emmer wheat. Topographic autocorrelation exhibited a certain degree of similarity with genetic marker autocorrelation, indicating similar scales of environmental heterogeneity and seed flow. The detected population genetic structure agrees with one expected under isolation by distance as a result of limited gene flow. A negative relationship of genetic similarity with the logarithm of distance between plants was detected for both molecular markers and quantitative traits, which differed in the strength but not the pattern of association.

    Original languageEnglish
    Pages (from-to)312-327
    Number of pages16
    JournalAmerican Naturalist
    Volume163
    Issue number2
    DOIs
    StatePublished - 1 Feb 2004

    Keywords

    • Autocorrelation
    • Canonical correspondence analysis
    • Genetic-environmental relationship
    • Habitat selection
    • Isolation by distance
    • Redundancy analysis

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