Back

Gene-by-environment interactions in agricultural pest management: population effects on diet-Bt interactions in a caterpillar

Deans, C. A.; Sword, G. A.; Behmer, S.; Burkness, E.; Pusztai-Carey, M.; Hutchison, W.

2020-10-30 ecology
10.1101/2020.10.30.361170 bioRxiv
Show abstract

Given that plant nutrient content is both spatially and temporally dynamic (Lenhart et al., 2015; Deans et al., 2016, 2018), insect herbivores are exposed to an incredible amount of nutritional variability. This variability can constrain insects to feeding on sub-optimal resources, but it can also provide an opportunity for insects to regulate their intake of specific nutrients to obtain an optimal balance. Nutrient regulation has implications for pest control strategies in agricultural systems, as the nutritional state of pest species may impact their susceptibility to insecticides. Deans et al. (2017) showed that diet macronutrient balance has significant effects on the susceptibility of Helicoverpa zea larvae to Cry1Ac, an endotoxin expressed in transgenic Bt crops. This was demonstrated using a highly inbred laboratory strain of H. zea, limiting the applicability of these results to field populations that encompass greater genetic diversity. In this study, we assessed the impact of field-relevant macronutrient variability on the efficacy of two Bt endotoxins, Cry1Ab and Cry1Ac, using three field populations collected from different geographic regions. This was done to further understand the impact of nutritional variability on Bt susceptibility and also to determine the relevance of these effects in the field. While we saw limited differences in Cry susceptibility across populations, dietary effects were highly variable. Across populations there were distinct population-level differences in the interactions between Cry concentration and diet, the type of Cry toxin impacted by diet, and the treatment diet that produced optimal survival and performance. These results show that nutrition can have strong impacts on Bt susceptibility but also that these impacts are strongly affected by genetic background in H. zea. To accurately assess Bt susceptibility in the field, including resistance monitoring, bioassay methods should incorporate the appropriate nutritional parameters and be as localized as possible.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Journal of Economic Entomology
10 papers in training set
Top 0.1%
15.0%
2
Pest Management Science
32 papers in training set
Top 0.1%
10.6%
3
Insects
36 papers in training set
Top 0.2%
6.9%
4
Journal of Applied Ecology
35 papers in training set
Top 0.1%
6.5%
5
Ecology
70 papers in training set
Top 0.1%
6.4%
6
Ecological Applications
28 papers in training set
Top 0.1%
4.9%
50% of probability mass above
7
Ecological Entomology
11 papers in training set
Top 0.1%
4.0%
8
PLOS ONE
4510 papers in training set
Top 35%
4.0%
9
Evolutionary Applications
91 papers in training set
Top 0.3%
2.8%
10
Ecosphere
53 papers in training set
Top 0.2%
2.1%
11
Agriculture, Ecosystems & Environment
15 papers in training set
Top 0.1%
2.1%
12
Ecology and Evolution
232 papers in training set
Top 2%
1.9%
13
Scientific Reports
3102 papers in training set
Top 57%
1.7%
14
Frontiers in Plant Science
240 papers in training set
Top 3%
1.7%
15
Peer Community Journal
254 papers in training set
Top 2%
1.4%
16
Frontiers in Ecology and Evolution
60 papers in training set
Top 3%
1.4%
17
PeerJ
261 papers in training set
Top 10%
1.2%
18
Environmental Microbiology
119 papers in training set
Top 2%
1.2%
19
Evolution
199 papers in training set
Top 2%
1.0%
20
Agronomy
18 papers in training set
Top 0.7%
0.9%
21
Plant Disease
21 papers in training set
Top 0.2%
0.9%
22
Oecologia
23 papers in training set
Top 0.4%
0.9%
23
Biology Letters
66 papers in training set
Top 0.5%
0.9%
24
Molecular Ecology
304 papers in training set
Top 4%
0.8%
25
Basic and Applied Ecology
11 papers in training set
Top 0.3%
0.8%
26
Biological Invasions
14 papers in training set
Top 0.1%
0.8%
27
Science of The Total Environment
179 papers in training set
Top 5%
0.7%
28
Plant Pathology
16 papers in training set
Top 0.3%
0.7%
29
Insect Science
11 papers in training set
Top 0.3%
0.5%
30
Frontiers in Microbiology
375 papers in training set
Top 11%
0.5%