VIRUS INFECTIONS IN WILD PLANT POPULATIONS ARE BOTH FREQUENT AND OFTEN UNAPPARENT

Authors

Holly R. Prendeville, University of Nebraska-LincolnFollow
Xiaohong Ye, University of Nebraska-Lincoln
Thomas Jack Morris, University of Nebraska-LincolnFollow
Diana Pilson, University of Nebraska-LincolnFollow

Document Type

Article

Date of this Version

6-2012

Citation

American Journal of Botany 99(6): 1033–1042, 2012; doi:10.3732/ajb.1100509

http://www.amjbot.org/

Comments

© 2012 Botanical Society of America. Used by permission.

Abstract

• Premise of the study: Pathogens are thought to regulate host populations. In agricultural crops, virus infection reduces yield. However, in wild plants little is known about the spatial and temporal patterns of virus prevalence. Thus, pathogen effects on plant population dynamics are unclear. Prevalence data provide necessary background for (1) evaluating the effects of virus infection on plant population size and dynamics and (2) improving risk assessment of virus-resistant transgenic crops.

• Methods: We used ELISA and RT-PCR to survey wild Cucurbita pepo populations over 4 years for five viruses, aphid-transmitted viruses of the genus Potyvirus as a group and PCR to survey for virus-resistance transgenes. In addition, we surveyed the literature for reports of virus prevalence in wild populations.

• Key results: In 21 C. pepo populations, virus prevalence (0–74%) varied greatly among populations, years, and virus species. In samples analyzed by both ELISA and RT-PCR, RT-PCR detected 6–44% more viruses than did ELISA. Eighty percent of these infections did not cause any visually apparent symptoms. In our samples, the virus-resistance transgene was not present. In 30 published studies, 92 of 146 tested species were infected with virus, and infection rates ranged from 0.01–100%. Most published studies used ELISA, suggesting virus prevalence is higher than reported.

• Conclusions: In wild C. pepo , the demographic effects of virus are likely highly variable in space and time. Further, our literature survey suggests that such variation is probably common across plant species. Our results indicate that risk assessments for virus-resistant transgenic crops should not rely on visual symptoms or ELISA and should include data from multiple populations over multiple years.