43 research outputs found

    Overview of the different locations of the ten clusters identified by k-means clustering.

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    <p>The three subclusters of cluster 6 are highlighted with different colours, clearly distinguishing the group that is largely composed of the Nacional cultivar of the Ecuadorean coastal plains (red colour).</p

    Observed locally common alleles compared to past and current modeled distribution of cacao.

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    <p>Upper: distribution of areas with modeled habitat suitability of cacao during the LGM; red dashed polygons show potential relatively isolated refugia associated with areas holding high levels of locally common alleles. Lower: changes in cacao habitat suitability from the LGM until present; red areas represent potential habitat suitability during LGM but no longer at present (high impact or restriction areas); green indicates areas with continued habitat suitability from LGM until present (low impact or stable areas); and blue indicates areas that were probably not suitable for cacao at the LGM, but are suitable at present (new or expansion areas).</p

    Cluster richness, i.e. the number of different clusters shown in <b>figure 5</b> that occur in a given area.

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    <p>Cluster richness, i.e. the number of different clusters shown in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047676#pone-0047676-g005" target="_blank"><b>figure 5</b></a> that occur in a given area.</p

    Averages of genetic parameters per locus for trees from coastal Ecuador (Nacional cultivar) and the remaining trees from cluster 6 (Contamana + Nacional (+Purus)), based on 1,000 bootstrap samples of 20 trees (i.e. the number of trees from coastal Ecuador).

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    <p>Averages of genetic parameters per locus for trees from coastal Ecuador (Nacional cultivar) and the remaining trees from cluster 6 (Contamana + Nacional (+Purus)), based on 1,000 bootstrap samples of 20 trees (i.e. the number of trees from coastal Ecuador).</p

    Species richness of genus <i>Theobroma</i>.

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    <p>Left: observed species richness in 10 minute grid cells and a circular neighborhood of 1 decimal degree; Right: modeled species richness in 2.5 minute grid cells.</p

    Complete linkage clustering based on Nei’s distance (cophenetic correlation = 0.92).

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    <p>Complete linkage clustering based on Nei’s distance (cophenetic correlation = 0.92).</p

    Scores of sampled trees as projected on the first ordination axis of the biplot of a Spatial Analysis of Principal Components.

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    <p>Location of the genetic cline coincides with the bean-shaped area (and particularly the southern part of it) where the highest values of the measured genetic parameters were observed (<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0047676#pone-0047676-g002" target="_blank">figure 2</a>).</p

    Potential wild barley distributions in current (A), past (B) and future (C) climates.

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    <p>Distributions are based on ecological niche modelling using MaxEnt (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#s2" target="_blank">Materials and Methods</a>). D, differences between current and past modelled distributions, including areas lost and gained since the LGM. E, differences between future and current modelled distributions, including areas expected to be lost and gained by the 2080s. Note that past and future distribution maps take no account of rises or falls in sea levels or of other water bodies, and that these distributions are shown superimposed on current country boundaries.</p

    STRUCTURE group richness (A and B, <i>K<sub>10</sub></i>) and ‘altitude richness’ (C, <i>Alt<sub>10</sub></i>) maps for wild barley.

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    <p>A and B, richness estimates for BOPA SNPs and nSSRs, respectively, <i>K</i> = 5 in STRUCTURE analysis. Both marker sets indicate the Eastern Mediterranean region as more diverse (highly diverse areas = dark brown) than Central Asia. C, ‘altitude richness’ of wild barley sample sites, based on five altitude categories (<200 m, 200 to 600 m, 600 to 1,000 m, 1,000 to 1,400 m, >1,400 m). Altitude data provide an indication of environmental heterogeneity and were downloaded from WorldClim (<a href="http://www.worldclim.org/" target="_blank">www.worldclim.org/</a>; values given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone.0086021.s001" target="_blank">Table S1</a>). Unlike the 19 bioclimatic variables used elsewhere in the current study, altitude data are actual values rather than interpolations from weather station records, so they are particularly appropriate for assessing real environmental heterogeneity <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone.0086021-Hijmans2" target="_blank">[22]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone.0086021-Farr1" target="_blank">[77]</a>. Altitude richness estimates indicate sample points in the Eastern Mediterranean region as more diverse than those in Central Asia. Not all of the original sample range could be included in analyses because of the required minimum sampling intensity to calculate standardised diversity values (see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#s2" target="_blank">Materials and Methods</a>; compare the current figure with <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone-0086021-g001" target="_blank">Figs. 1</a> and <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone-0086021-g003" target="_blank">3</a> [individual STRUCTURE <i>K</i> group assignments], see also <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0086021#pone-0086021-g004" target="_blank">Fig. 4</a>). Accessions included in analyses in a particular geographic area are circumscribed by a dotted line. The analysis to generate ‘altitude richness’ was carried out in the same way as for STRUCTURE group richness, except ‘altitude category’ substituted for ‘STRUCTURE group’.</p
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