Volis S, Anikster Y, Olsvig-Whittaker L, Mendlinger S
The Institutes for Applied Research, Ben-Gurion University of the Negev, POB 653, Beer Sheva 84105, Israel.
Am Nat. 2004 Feb;163(2):312-27. doi: 10.1086/381406. Epub 2004 Feb 13.
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.
我们使用三类单基因座（或至多几个基因座）遗传标记（等位酶、谷蛋白和质量性状）以及两类多基因遗传标记（物候和形态性状），测试了微环境地形参数作为二粒小麦遗传变异预测指标的重要性。典范对应分析（CCA）和冗余分析（RDA）检测到，空间结构环境变异对植物间等位酶、谷蛋白以及定量形态和物候性状的遗传差异有显著影响。然而，在部分CCA和部分RDA中去除变异的空间成分后，剩余环境变异与这些遗传标记的关系仅能由随机因素解释，这使我们能够排除二粒小麦的微生境地形特化。地形自相关与遗传标记自相关表现出一定程度的相似性，表明环境异质性和种子流的尺度相似。检测到的群体遗传结构与因基因流有限而导致的距离隔离预期相符。对于分子标记和数量性状，均检测到遗传相似性与植物间距离的对数呈负相关，二者在关联强度上有所不同，但模式相同。
