Data from: Shifts in outcrossing rates and changes to floral traits are associated with the evolution of herbicide resistance in the common morning glory
| Main Authors: | Kuester, Adam, Fall, Eva, Chang, Shu-Mei, Baucom, Regina S. |
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| Format: | info dataset Journal |
| Terbitan: |
, 2017
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/4937873 |
Daftar Isi:
- Human-mediated selection can strongly influence the evolutionary response of natural organisms within ecological timescales. But what traits allow for, or even facilitate, adaptation to the strong selection humans impose on natural systems? Using a combination of laboratory and greenhouse studies of 32 natural populations of the common agricultural weed, Ipomoea purpurea, we show that herbicide-resistant populations self-fertilise more than susceptible populations. We likewise show that anther–stigma distance, a floral trait associated with self-fertilisation in this species, exhibits a nonlinear relationship with resistance such that the most and least resistant populations exhibit lower anther–stigma separation compared to populations with moderate levels of resistance. Overall, our results extend the general finding that plant mating can be impacted by human-mediated agents of selection to that of the extreme selection of the agricultural system. This work highlights the influence of human-mediated selection on rapid responses of natural populations that can lead to unexpected long-term evolutionary consequences.
- Spatial and Temporal Floral PhenotypesThis data file contains floral phenotypic data for populations sampled in 2012 and 2003. The spatial analysis uses only data from 2012. The 'temporal' label (1) indicates if populations were paired between 2003 and 2012.SpatiallandTemporalFloral.csvLatitudeLatitudes for each population.Lat.csvResistance levels for each populationResistance is defined as the proportion of the population remaining alive post-herbicide application. More information can be found in Kuester et al (2015) Evolutionary Applications.ResLevelQuan.csvMating System Genotypes 2012Genotypes used to estimate mating system from the 2012 sampling of populations.MatingSystemGenotypes2012.csvR CodeR Code in markdown format.KuesterELE-2016.RmdFunding provided by: National Science FoundationCrossref Funder Registry ID: http://dx.doi.org/10.13039/100000001Award Number: NIFA04180