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Effect of genotype and environment on the abundance of a specialist aphid in Solidago altissima Brian Bonville and Ray S. Williams Appalachian State University.

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Presentation on theme: "Effect of genotype and environment on the abundance of a specialist aphid in Solidago altissima Brian Bonville and Ray S. Williams Appalachian State University."— Presentation transcript:

1 Effect of genotype and environment on the abundance of a specialist aphid in Solidago altissima Brian Bonville and Ray S. Williams Appalachian State University

2 Certain species of plants are the foundation of a given ecosystem Their genetic variation may govern population responses in animals that depend on them Introduction Community Genetics

3

4 Red Goldenrod Aphid (Uroleucon nigrotuberculatum)

5 Insect communities are known to be affected by intraspecific genetic variation in Solidago altissima (Crutsinger et al, 2006). The abundance of herbivores such as aphids can vary between genotypes (Genung et al. 2012, Williams and Avakian 2015). Though insect responses are observed, the mechanisms behind insect choice of genotypes is relatively unknown. In addition, the role of environment and its interaction with genotype in shaping insect responses is not well unders tood.

6 Terpenes Allelochemicals acting as defensive agents, signaling chemicals, or attractants to insects. Previous research with S. altissima found terpenes positively correlated with aphid abundance in S. altissima (Williams and Avakian 2015).

7 Objectives Investigate the effects of genotype (G) and environment (E) and GXE on Uroleucon nigrotuberculatum abundance on S. altissima by the addition of nitrogen and phosphorous to soil. To examine the effects of G, E, and GXE on terpenes.

8 In May 2014, six genotypes of tall goldenrod were planted in a common garden design. Plants were administered either nitrogen, phosphorous or no nutrients (control). There were three replicates of each treatment. Plants were spaced 0.33m apart. The total of 54 plants were broken into three blocks. Aphids colonized the plants naturally. Methods

9 Block 1 Block 3 Block 2 54 2 N 37 1 P 36 5 C 19 4 P 18 6 C 12N12N 24C24C 17 5 N 20 1 P 35 6 N 38 3 N 53 5 C 52 4 N 34 3 N 21 6 P 16 4 N 35P35P 45C45C 15 3 P 22 5 N 33 3 P 40 1 C 32 4 N 23 1 C 52C52C 13 6 P 14 1 P 39 6 C 51 4 C 50 2 P 41 5 N 49 4 P 42 3 C 48 2 C 43 6 P 44 3 P 47 1 N 29 2 C 30 4 C 31 2 P 24 3 C 25 2 N 26 5 P 12 3 C 11 2 P 6 3 N 76N76N 84P84P 46 6 N 45 5 P 28 1 N 27 6 C 10 1 N 91C91C

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11 Field Data Collection Aphid abundance was monitored every three days throughout the season. Biomass estimates and leaf samples were taken during aphid abundance. Plants were harvested and biomass determined at the end of season. Photo- Ricochet Science Productions

12 Chemical Analyses Leaves were ground in pentane for GC analysis in a Schimadzu GC-14A gas chromatograph. Compounds were identified using analytical standards and quantified with an internal standard.

13 Statistical Analyses Two-way ANOVA with repeated measures (SAS 9.4) was used to test for effects of genotype (G), nutrient treatment (E), and G XE interaction on aphid abundance, terpene concentration and plant biomass. Results where 0.05 < P < 0.1 reported as marginally significant.

14 Results Aphid Abundance during season

15 Aphid Abundance Jul. 9Aphid Abundance Sept. 3 FertilizationP= 0.1900 GenotypeP=0.2418 Fertilization*GenotypeP=0.0272 FertilizationP= 0.044 GenotypeP=0.4352 Fertilization*GenotypeP=0.0989

16 Mean aphid abundance by treatment July 9 2 4 6 35

17 Biomass estimate Jul. 9 Biomass estimate Sept. 3 FertilizationP= 0.0009 GenotypeP<0.0001 Fertilization*GenotypeP=0.7721 FertilizationP<0.0001 GenotypeP<0.0001 Fertilization*GenotypeP=0.8698 Biomass September 3

18 α-pinene All four terpenes Germacrene D P-cymene β-pinene FertilizationP= 0.0816 GenotypeP=0.0008 Fertilization*GenotypeP=0.0196 FertilizationP= 0.0204 GenotypeP<0.0001 Fertilization*GenotypeP=0.6331 FertilizationP= 0.0249 GenotypeP<0.0001 Fertilization*GenotypeP=0.6647 FertilizationP= 0.0196 GenotypeP<0.0001 Fertilization*GenotypeP=0.5956 FertilizationP= 0.0707 GenotypeP=0.0080 Fertilization*GenotypeP=0.9600 FertilizationP= 0.4023 GenotypeP=0.1212 Fertilization*GenotypeP=0.7188 FertilizationP= 0.1251 GenotypeP=0.0004 Fertilization*GenotypeP=0.4198 FertilizationP= 0.2187 GenotypeP=0.0006 Fertilization*GenotypeP=0.1311 July 9 Sept 3 All four terpenes FertilizationP= 0.1317 GenotypeP=0.0012 Fertilization*GenotypeP=0.3892 FertilizationP= 0.0289 GenotypeP=0.0041 Fertilization*GenotypeP=0.9543 α-pinene

19 Summary At the first sampling date fertilization did not significantly influence aphid abundance. However, there was a significant GXE effect in July on aphid abundance. In addition, a marginal GXE effect was seen in September. As the season progressed, more aphids were found on plants with N addition, regardless of genotype. The N fertilized plants were also significantly larger. A genotype effect was seen in terpene concentrations both in July and September and a fertilization effect arose In July. A higher mean terpene concentration was found in phosphate fertilized plants.

20 Discussion Overall aphid population was affected by nutrient treatment and a GXE effect was demonstrated the early growing season. For terpene concentration the effect of genotype was most significant, and fertilization was seen to be significant later in the season. Phosphate fertilized plants had significantly higher mean terpene concentration. Flowering may deplete plants of phosphorus. Phosphorus may be integral in terpene production.

21 Future Work Awaiting analyses of C:N and N content in plants to shed more light on aphid plant colonization. Run Partial Least Squares Regression for individual terpenes, nutrients and aphid abundance. A multivariate correlative analysis. Will do linear regression analysis between aphids and nutrients, individual terpenes, and biomass. GC analysis on terpene content in aphids.

22 Acknowledgements Williams Lab Ray S. Williams Julie Ragsdale Marae Lindquist Jacob Pawlik Bryan Taylor Other Mike Madritch Howie Neufeld Jerry Meyer Quinn Griffin Delaney Trimble Funding: Appalachian State Office of Student Research


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