| Summary: | Disentangling the molecular mechanisms of adaptation in natural plant populations in response to different environmental conditions is a central topic in evolutionary biology. In the present study, we investigated a wind-pollinated woody species of Changbai Mountain of northeastern China, namely, Betula ermanii Cham. This woody species B. ermanii is not only a dominant species in subalpine forest (SF), but it also occurs in the alpine tundra (AT) regions. This attribute indicates that it may play important roles in the two contrast habitats. In order to evaluate the influences of different habitats on differentiation in B. ermanii, we assessed the genetic and epigenetic population structure in selected populations from two contrasting habitats by using amplified fragment length polymorphism (AFLP) and methylation-sensitive AFLP techniques. According to our results, the AT group not only exhibits higher genetic and epigenetic diversity than the SF group but also shows greater population genetic and epigenetic differentiation. In addition, the analysis of cytosine methylation levels also revealed that the AT group exhibits higher degrees of genome methylation than the SF group. Taken together, our results indicate that populations from two contrasting habitats show significantly different genetic and epigenetic population structures. Along with other potential explanations, these findings suggest that environmental conditions could play an important role in facilitating adaptive evolution in B. ermanii. AFLP from two contrasting habitat types We get these data from AFLP. In our study, we compare the genetic diversity and differentiation between two contrasting habitat types of Betula ermanii. Our results indicated that the two different type show different genetic structure. We presume that this species evolve under natural selection. AFLP10.txt MSAP data get from Betula ermanii We get these data from AFLP. In our study, we compare the epigenetic diversity and differentiation between two contrasting habitat ...
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