TY - JOUR
T1 - Weed evolution
T2 - Genetic differentiation among wild, weedy, and crop radish
AU - Charbonneau, Amanda
AU - Tack, David
AU - Lale, Allison
AU - Goldston, Josh
AU - Caple, Mackenzie
AU - Conner, Emma
AU - Barazani, Oz
AU - Ziffer-Berger, Jotham
AU - Dworkin, Ian
AU - Conner, Jeffrey K.
N1 - Funding Information:
We thank J. Vitou, C. Gómez-Campo, J. Arroyo, J.M. Gomez, O. Barazani, J. Ziffer- Berger, Y. Sapir, K. Lehtila, L. Crowfoot, and C. Ridley for providing weed and native seedstocks. AC was supported by the KBS K-12 Partnership, National Science Foundation award DGE-0947896. This material is based in part upon work supported by the National Science Foundation under Cooperative Agreement No. DBI-0939454, NSF grants DBI-0638591 and DEB-0919452, and Research Grant No. FG-9510-14 from BARD, the United States–Israel Binational Agricultural Research and Development Fund. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2018 The Authors. Evolutionary Applications published by John Wiley & Sons Ltd
PY - 2018/12
Y1 - 2018/12
N2 - Approximately 200 weed species are responsible for more than 90% of crop losses and these comprise less than one percent of all named plant species, suggesting that there are only a few evolutionary routes that lead to weediness. Agricultural weeds can evolve along three main paths: they can be escaped crops, wild species, or crop-wild hybrids. We tested these three hypotheses in weedy radish, a weed of small grains and an emerging model for investigating the evolution of agricultural weeds, using 21 CAPS and SSR markers scored on 338 individuals from 34 populations representing all major species and sub-species in the radish genus Raphanus. To test for adaptation of the weeds to the agricultural environment, we estimated genetic differentiation in flowering time in a series of common garden experiments with over 2,400 individuals from 43 populations (all but one of the genotyped populations plus 10 additional populations). Our findings suggest that the agricultural weed radish R. r. raphanistrum is most genetically similar to native populations of R. r. raphanistrum and is likely not a feral crop or crop hybrid. We also show that weedy radish flowers more rapidly than any other Raphanus population or cultivar, which is consistent with rapid adaptation to the frequent and severe disturbance that characterizes agricultural fields.
AB - Approximately 200 weed species are responsible for more than 90% of crop losses and these comprise less than one percent of all named plant species, suggesting that there are only a few evolutionary routes that lead to weediness. Agricultural weeds can evolve along three main paths: they can be escaped crops, wild species, or crop-wild hybrids. We tested these three hypotheses in weedy radish, a weed of small grains and an emerging model for investigating the evolution of agricultural weeds, using 21 CAPS and SSR markers scored on 338 individuals from 34 populations representing all major species and sub-species in the radish genus Raphanus. To test for adaptation of the weeds to the agricultural environment, we estimated genetic differentiation in flowering time in a series of common garden experiments with over 2,400 individuals from 43 populations (all but one of the genotyped populations plus 10 additional populations). Our findings suggest that the agricultural weed radish R. r. raphanistrum is most genetically similar to native populations of R. r. raphanistrum and is likely not a feral crop or crop hybrid. We also show that weedy radish flowers more rapidly than any other Raphanus population or cultivar, which is consistent with rapid adaptation to the frequent and severe disturbance that characterizes agricultural fields.
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U2 - 10.1111/eva.12699
DO - 10.1111/eva.12699
M3 - Article
C2 - 30459841
AN - SCOPUS:85054198048
SN - 1752-4571
VL - 11
SP - 1964
EP - 1974
JO - Evolutionary Applications
JF - Evolutionary Applications
IS - 10
ER -