TY - JOUR
T1 - Effects of floral traits and plant genetic composition on pollinator behavior
AU - Sapir, Yuval
N1 - Funding Information:
Acknowledgments I thank E. Baack for a great collaboration and for help in all aspects of this work. I thank A. Richardson for assistance in the field, and S. Barnes, N. Jones and J. Williams for assistance in post-harvest processing of the sunflowers. R. Jean and P. Scott for identified the bees. M. Arnold, A. Dafni, L. Hadany, M. Lynch and R. Mitchell provided useful ideas and discussions, J. Fox and N. Lazar advised with the statistical analyses, R. Irwin and R. Mitchell gave valuable comments on early versions of the manuscripts, and R. Kirschenbaum helped improving the English. The work was done as a post-doc research in the lab of L. Rieseberg, and funding for this work was provided by a US Department of Agriculture Biotechnology Risk Assessment Program grant to L. R. (03-39210-13958). I was supported by a post-doctoral fellowship (FI-353-2004) from US-Israel Binational Agricultural Research and Development foundation.
PY - 2009
Y1 - 2009
N2 - Pollinator-mediated selection plays a major role in floral evolution and speciation. Floral traits that influence animal pollinator behavior are the target of pollinator-mediated selection, but can only evolve if floral phenotypes have underlying genetic variation. Thus, understanding the genetic basis of a floral trait is a crucial step in studying pollinator-mediated selection. In this study I tested the effect of quantitative trait loci (QTL) underlying floral traits on pollinator behavior in recombinant inbred lines (RILs) in the common sunflower, Helianthus annuus L. and its crop relative. The indirect effects of QTL on pollinator behavior, mediated by floral phenotypes, were analyzed for six insect visitor types using structural equation modeling (SEM) and path analysis. For three of the six visitor types (large and small bees and non-bee insects) valid models were revealed when all three levels (QTL, floral traits, and pollinator behavior) were incorporated. Nested model without genetics were validated for five of the six visitor types. The results suggest that insect behavior as a reaction to floral phenotypes is affected by the genetic architecture of floral traits.
AB - Pollinator-mediated selection plays a major role in floral evolution and speciation. Floral traits that influence animal pollinator behavior are the target of pollinator-mediated selection, but can only evolve if floral phenotypes have underlying genetic variation. Thus, understanding the genetic basis of a floral trait is a crucial step in studying pollinator-mediated selection. In this study I tested the effect of quantitative trait loci (QTL) underlying floral traits on pollinator behavior in recombinant inbred lines (RILs) in the common sunflower, Helianthus annuus L. and its crop relative. The indirect effects of QTL on pollinator behavior, mediated by floral phenotypes, were analyzed for six insect visitor types using structural equation modeling (SEM) and path analysis. For three of the six visitor types (large and small bees and non-bee insects) valid models were revealed when all three levels (QTL, floral traits, and pollinator behavior) were incorporated. Nested model without genetics were validated for five of the six visitor types. The results suggest that insect behavior as a reaction to floral phenotypes is affected by the genetic architecture of floral traits.
KW - Floral evolution
KW - Insect behavior
KW - Path analysis
KW - Pollination ecology
KW - Pollinator-mediated selection
KW - QTL
UR - http://www.scopus.com/inward/record.url?scp=67349123322&partnerID=8YFLogxK
U2 - 10.1007/s11829-009-9062-y
DO - 10.1007/s11829-009-9062-y
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AN - SCOPUS:67349123322
SN - 1872-8855
VL - 3
SP - 115
EP - 129
JO - Arthropod-Plant Interactions
JF - Arthropod-Plant Interactions
IS - 2
ER -