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Rapid divergence of ecotypes of an invasive plant.

Ray A, Ray R - AoB Plants (2014)

Bottom Line: We found multiple genetic clusters that were non-randomly distributed across space.In addition, we obtained evidence of inhibitory effects of selection on gene flow, i.e. isolation by environmental distance.Based on a non-random distribution of clusters, unequal gene flow among them and different bioclimatic niche requirements, we concluded that the emergence of ecotypes represented by two genetic clusters is underway.

View Article: PubMed Central - PubMed

Affiliation: National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bangalore 560065, India Present address: Ashoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Sriramapura, Jakkur Post, Bangalore 560064, India, and Center for Interdisciplinary Studies (CIS), Basudha, Kolkata 700078, India avik.ray.kol@gmail.com avik.ray@atree.org.

No MeSH data available.


Correlogram showing the spatial correlation ‘r’ as a function of geographic distance class (100), 95 % CI about the  hypothesis of a random distribution and 95 % confidence error bars about ‘r’ as determined by bootstrapping. Upper (U) and lower (L) confidence limits of the 95 % CI about the  hypothesis of No spatial structure.
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PLU052F3: Correlogram showing the spatial correlation ‘r’ as a function of geographic distance class (100), 95 % CI about the hypothesis of a random distribution and 95 % confidence error bars about ‘r’ as determined by bootstrapping. Upper (U) and lower (L) confidence limits of the 95 % CI about the hypothesis of No spatial structure.

Mentions: The autocorrelation coefficient (r) varied with increasing distance as well as among distance classes with different bin widths (e.g. 25–300). While comparing among distance classes with different bin widths, the smallest distance class size (50) yielded the highest autocorrelation coefficient (r = 0.196), and with increasing the bin widths (to 100, 200) the coefficient showed a gradual decline in magnitude (Fig. 3). In general, the coefficient (r) dropped steadily with increasing distance and beyond 500–600 the correlation coefficients were mostly non-significant, perhaps because of dearth of samples in those distance class groups. The moderate value of coefficients clearly indicates the presence of a local structure at fine spatial scales. Gradual decay of the correlation coefficient over increasing distance also ascertains isolation by distance patterns.Figure 3.


Rapid divergence of ecotypes of an invasive plant.

Ray A, Ray R - AoB Plants (2014)

Correlogram showing the spatial correlation ‘r’ as a function of geographic distance class (100), 95 % CI about the  hypothesis of a random distribution and 95 % confidence error bars about ‘r’ as determined by bootstrapping. Upper (U) and lower (L) confidence limits of the 95 % CI about the  hypothesis of No spatial structure.
© Copyright Policy - creative-commons
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4215188&req=5

PLU052F3: Correlogram showing the spatial correlation ‘r’ as a function of geographic distance class (100), 95 % CI about the hypothesis of a random distribution and 95 % confidence error bars about ‘r’ as determined by bootstrapping. Upper (U) and lower (L) confidence limits of the 95 % CI about the hypothesis of No spatial structure.
Mentions: The autocorrelation coefficient (r) varied with increasing distance as well as among distance classes with different bin widths (e.g. 25–300). While comparing among distance classes with different bin widths, the smallest distance class size (50) yielded the highest autocorrelation coefficient (r = 0.196), and with increasing the bin widths (to 100, 200) the coefficient showed a gradual decline in magnitude (Fig. 3). In general, the coefficient (r) dropped steadily with increasing distance and beyond 500–600 the correlation coefficients were mostly non-significant, perhaps because of dearth of samples in those distance class groups. The moderate value of coefficients clearly indicates the presence of a local structure at fine spatial scales. Gradual decay of the correlation coefficient over increasing distance also ascertains isolation by distance patterns.Figure 3.

Bottom Line: We found multiple genetic clusters that were non-randomly distributed across space.In addition, we obtained evidence of inhibitory effects of selection on gene flow, i.e. isolation by environmental distance.Based on a non-random distribution of clusters, unequal gene flow among them and different bioclimatic niche requirements, we concluded that the emergence of ecotypes represented by two genetic clusters is underway.

View Article: PubMed Central - PubMed

Affiliation: National Centre for Biological Sciences, Tata Institute of Fundamental Research, GKVK Campus, Bellary Road, Bangalore 560065, India Present address: Ashoka Trust for Research in Ecology and the Environment (ATREE), Royal Enclave, Sriramapura, Jakkur Post, Bangalore 560064, India, and Center for Interdisciplinary Studies (CIS), Basudha, Kolkata 700078, India avik.ray.kol@gmail.com avik.ray@atree.org.

No MeSH data available.