Research Article |
Corresponding author: Deanna Zembrzuski ( dzembrzu@asu.edu ) Academic editor: Ludivina Barrientos-Lozano
© 2021 Deanna Zembrzuski, Derek A. Woller, Larry Jech, Lonnie R. Black, K. Chris Reuter, Rick Overson, Arianne Cease.
This is an open access article distributed under the terms of the CC0 Public Domain Dedication.
Citation:
Zembrzuski D, Woller DA, Jech L, Black LR, Reuter KC, Overson R, Cease A (2021) Establishing the nutritional landscape and macronutrient preferences of a major United States rangeland pest, Melanoplus sanguinipes, in field and lab populations. Journal of Orthoptera Research 30(2): 163-172. https://doi.org/10.3897/jor.30.61605
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When given a choice, most animals will self-select an optimal blend of nutrients that maximizes growth and reproduction (termed “intake target” or IT). For example, several grasshopper and locust species select a carbohydrate-biased IT, consuming up to double the amount of carbohydrate relative to protein, thereby increasing growth, survival, and migratory capacity. ITs are not static, and there is some evidence they can change through ontogeny, with activity, and in response to environmental factors. However, little research has investigated how these factors influence the relative need for different nutrients and how subsequent shifts in ITs affect the capacity of animals to acquire an optimal diet in nature. In this study, we determined the ITs of 5th instar (final juvenile stage) Melanoplus sanguinipes (Fabricius, 1798), a prevalent crop and rangeland grasshopper pest in the United States, using two wild populations and one lab colony. We simultaneously collected host plants to determine the nutritional landscapes available to the wild populations and measured the performance of the lab colony on restricted diets. Overall, we found that the diet of the wild populations was more carbohydrate-biased than their lab counterparts, as has been found in other grasshopper species, and that their ITs closely matched their nutritional landscape. However, we also found that M. sanguinipes had the lowest performance metrics when feeding on the highest carbohydrate diets, whereas more balanced diets or protein-rich diets had higher performance metrics. This research may open avenues for studying how management strategies coincide with nutritional physiology to develop low-dose treatments specific to the nutritional landscape for the pest of interest.
geometric framework, macronutrient preference, nutritional ecology, nutritional landscape, plant–insect interactions, rangeland grasshopper
Rangelands in the western United States are important agricultural and environmental resources, serving not only as grazing lands for livestock, but also as habitats for wildlife (
In rangelands, the migratory grasshopper M. sanguinipes (Fabricius) is the most destructive grasshopper, causing more forage loss than any other grasshopper species in the United States (
When given a choice, most animals will self-select the blend of nutrients that maximizes growth and reproduction (termed “intake target” or IT), which arises from the Geometric Framework for Nutrition, or GFN (
ITs are dynamic, and there is some evidence they can shift through ontogeny, with activity, and in response to environmental factors (
The GFN has been used to analyze long-term and first-generation lab colonies of M. sanguinipes. For example, one lab study on 5th instar first-generation lab-reared grasshoppers collected from Arapaho Prairie (Arthur Co., Nebraska) showed that M. sanguinipes had a 1:0.96 preferred dietary ratio of protein to carbohydrate (p:c) (
The primary goals of this study were to 1) compare the IT of two field populations of M. sanguinipes to their given nutritional landscape, 2) compare the IT of these two field populations to the IT of a long-term lab colony, and 3) determine if the lab colony IT maximized performance by restricting grasshoppers to one of five diets varying in p:c ratio. Our null prediction was that a given field population of grasshoppers would have an IT that roughly matched the protein and carbohydrate ratios of plants available to them. We predicted that, relative to the long-term lab colony, the field populations would be more carbohydrate-biased, similar to other field populations of migratory acridids (
Studied species and studied area.—M. sanguinipes is an abundant rangeland grasshopper with a range that extends throughout most of the United States and into Canada (
Plant collection
.—We sampled plants from each location concurrent with the sampling of grasshoppers. We randomly selected five collection plots per site using a random number generator. Plots were 5 m × 5 m, and we mapped the plots for each location using
Grasshopper collection.—We collected grasshoppers throughout the field locations using sweep nets. All specimens were identified to species by KCR, who has over 40 years of experience with the identification of rangeland grasshopper species. We recorded the sex and developmental stage of grasshoppers upon capture, and early 5th (final) instar grasshoppers were kept for the experiment. We separated grasshoppers by sex and kept them in separate cages with a selection of plants wrapped in wet paper towels from the collection site for 24 hours prior to starting experiments. All collected specimens were then brought to a private ranch southeast of Boise for the experiments.
Intake targets
.—We started IT experiments for field populations on June 27 for Bliss and July 3 for Boise. To determine self-selected ITs, we used a restricted diet choice experiment that gave grasshoppers a choice between two complementary diets. We had two treatment groups where one diet was kept constant between the two treatments and the other diet had a variation in the protein and carbohydrate ratio so we could ensure the ITs were not a result of random eating. Twelve male and 12 female grasshoppers were placed into each treatment group for a total of 48 grasshoppers from each population. Both treatments received two complementary (high protein (p): low carbohydrate (c) and low p: high c) isocaloric diets. By percentage of dry mass, Treatment A contained 7p:35c and 28p:14c, while Treatment B contained 7p:35c and 35p:7c. We selected these two different diet pairings so we could determine if grasshoppers were regulating to a specific p:c ratio; if so, grasshoppers from both treatment A and B would end up selecting the same p:c ratio, regardless of their diet pairings. This range of dietary p:c pairings encompassed all but a couple of the most carbohydrate-biased plants, meaning that grasshoppers could reach the same IT on the artificial diets as they could eating field plants. Diets were made based on
At the start of the experiments, we weighed the grasshoppers and placed them into individual plastic cages (17.5 × 11.8 × 4.3 cm), perforated for airflow and with a water tube and the two diet dishes. Five extra cages without grasshoppers were set up containing a dish of each of the three diets and a water tube to record water mass gained by the diet during the experiment. The grasshoppers were in their treatment for 48 hours in Bliss (ended early due to high mortality) and 72 hours in Boise. We checked the cages daily and recorded any mortality or molting, and additional water was added as needed. Grasshoppers that died during the experiment were not included in our final analyses. At the conclusion of the experiment, we recorded grasshopper mass. We weighed the diet dishes before and after the experiment and calculated the amount of protein and carbohydrate consumed by each grasshopper, accounting for any water mass gain in the diets by adjusting the initial weights of the diets based on the average proportion change found in the diets kept in the extra five cages.
We recorded temperature and relative humidity in the cages using iButtons (Thermochron, Maxim Integrated). Cages were kept inside a garage on, approximately, a 15h/9h light/dark cycle directly correlating to the natural light/dark cycle at the time and at ambient shade temperature. For the Bliss experiments, the average daytime (6:10 am–9:30 pm) temperature and humidity +/- SEM were 24.18 +/- 0.26°C and 27.18% +/- 0.53% and average nighttime (9:31 pm–6:09 am) values were 24.50 +/- 0.21°C and 27.64% +/- 0.40%. For the Boise experiments, daytime averages were 25.87 +/- 0.22°C and 22.94% +/- 0.43%; nighttime averages were 24.86 +/- 0.22°C and 28.37% +/- 0.66%.
Chemical analyses.—For each vegetation survey 5 m × 5 m plot, we mixed leaves from plants of the same functional group (grasses and forbs) together and ground them into a fine powder using a ball mill (30 s at 30 Hz using a Retsch MM 400 ball mill) for a total of 5 samples per functional group per field site. The carbohydrate content of each sample was determined using the phenol-sulfuric acid carbohydrate assay (
Lab colony
.—The Arizona State University M. sanguinipes lab colony used in these experiments originally came from eggs from a USDA ARS lab colony based in Sidney, MT. The USDA colony was established in approximately 1970 from non-diapausing M. sanguinipes from Arizona and maintained as such over the decades mostly on an artificial diet, supplemented with head lettuce. Between 2000 and 2005, the colony was hybridized with individuals from the Agriculture Agrifood colony in Saskatoon, Canada. In approximately 2005 and 2013, genetic material was added to the colony by mating with field-collected female non-diapausing M. sanguinipes collected from Arizona. Starting in 2017, the colony was moved to Arizona State University with funding from the USDA’s nearby Science and Technology Phoenix Laboratory for the purpose of local lab experiments. The colony has been kept at 32.2°C during the day and 25°C at night, and the humidity fluctuates from 20–50% RH with a 14h:10h light/dark cycle. The colony is reared on a combination of organic romaine lettuce, wheatgrass, and wheat bran. Overall, the lab colony had access to a wide range of protein and carbohydrates: two food sources were carbohydrate-biased and the third was protein-biased. The mature wheat grass available to the colony was analyzed using a phenol-sulfuric acid carbohydrate assay (
Self-selected IT and performance curves.—We determined the self-selected IT and performance of the lab colony using choice and no-choice diet experiments split into three consecutive blocks using three consecutive cohorts of fifth instar nymphs. Each block contained all treatment groups for the choice and no-choice experiments, with eight grasshoppers per treatment group (four males and four females) for a total of 56 grasshoppers in each block and a total of 168 grasshoppers for the full experiment (24 grasshoppers in each treatment). Grasshoppers were removed from colony cages during the 4th instar stage and provided the same food from the colony cages until they molted into 5th instars. On the first day of the 5th (final) instar, grasshoppers were placed into the experiment. The experiments were run in an environmental chamber kept at 32.2°C during the day and 25°C at night, and the humidity fluctuated from 20–50% RH with a 14h:10h light/dark cycle.
For the lab choice diet experiments, we had two treatments: Treatment A: 7p:35c and 28p:14c, and Treatment B: 7p:35c and 35p:7c. For the lab no-choice diet experiments, we restricted individual grasshoppers to one of the five isocaloric diets (7p:35c, 14p:28c, 21p:21c, 28p:14c, and 35p:7c). We weighed grasshoppers and placed them in individual perforated plastic cages (18.891 cm × 13.494 cm × 9.525 cm) with a similar set-up to that used to measure the field population IT. The rest of the methods are identical to the field population IT, with the exception that the experiments ran for 14 days, and food was changed every 3 days.
For the performance analyses, the specific growth rate (μ) was calculated for each grasshopper using the following formula: μ = ln (M1/M2)/dt, where M1 is the initial mass of the grasshopper, M2 is the final mass of the grasshopper, and dt is the days between weight measurements. Total days survived and total days spent in the 5th instar prior to molting to an adult were calculated. The proportion of grasshoppers surviving or molted was calculated for each day of the experiment.
Statistical analyses.—We tested all data for assumptions of normality and homoscedasticity implicit in parametric tests. We transformed any of the data that did not meet these requirements prior to analyses, or non-parametric analyses were used. Outliers were removed from the analyses. We performed analyses for ITs using IBM SPSS Statistics 24 (2017), with all other analyses performed using R 3.5.1 (2020). To determine IT differences among different populations, we used generalized additive models to detect nonlinear trends as discussed by
Plant collection
.—The Bliss location was primarily composed of dead vegetation cover, with some live vegetation in each sample plot. The average percent ground covered by dead and living grasses was 57.4 ± 12.137 (Mean % ± SD), the average percent ground covered by dead and living forbs was 0.6 ± 0.548, and 2–15% ground covered by dead and living shrubs when shrubs were present (Table
Field sites. Habitat and environmental data from field plots in Idaho (see Suppl. material
Plot | Date | Time (PM) | Latitude, Longitude | Temp °C | RH % | Wind m/s | Live Veg % | Total Veg % | Rock % | Litter % | Dung % | Grasses % Ground Cover | Forbs % ground cover | Shrubs % ground cover |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bliss, ID 1–1 | 26-Jun | 12:00 | 42.981492, -114.9288965 | 26.1 | 26.1 | 4.8 | <5 | 75–100 | 0 | 0 | <5 | 74 | 1 | 0 |
Bliss, ID 1–2 | 26-Jun | 12:25 | 42.9813708, -114.929146 | 26.3 | 22.9 | 5.5 | <5 | 50–75 | <5 | 0 | <5 | 59 | 1 | 0 |
Bliss, ID 1–3 | 26-Jun | 12:50 | 42.9814282, -114.9310661 | 27.1 | 18.8 | 6.0 | <5 | 50–75 | <5 | 0 | 0 | 55 | 0 | 2 (dead) |
Bliss, ID 1–4 | 26-Jun | 1:05 | 42.9811249, -114.9307657 | 28.5 | 18.1 | 4.6 | 5–25 | 50–75 | 0 | 0 | <5 | 40 | 0 | 15 |
Bliss, ID 1–5 | 26-Jun | 1:30 | 42.9799997, -114.9294353 | 28 | 17.8 | 5.2 | <5 | 50–75 | 0 | 0 | <5 | 59 | 1 | 0 |
Boise, ID 2–1 | 2-Jul | 1:00 | 43.3943539, -115.9510955 | 22.7 | 28.7 | 4 | <5 | 50–75 | 0 | 0 | 0 | 55 | 5 | 0 |
Boise, ID 2–2 | 2-Jul | 1:20 | 43.394394, -115.9512032 | 24 | 28.6 | 4.6 | 25–50 | 75–100 | 0 | 0 | 0 | 50 | 30 | 0 |
Boise, ID 2–3 | 2-Jul | 1:40 | 43.3944951, -115.9512009 | 23.5 | 28.7 | 4.5 | 25–50 | 50–75 | 0 | <5 | 0 | 30 | 30 | 0 |
Boise, ID 2–4 | 2-Jul | 2:00 | 43.3946555, -115.9525402 | 23.4 | 26.7 | 6 | 25–50 | 50–75 | 0 | <5 | 0 | 25 | 35 | 0 |
Boise, ID 2–5 | 2-Jul | 2:15 | 43.3940407, -115.9512009 | 24.2 | 23.4 | 5.3 | 25–50 | 50–75 | 0 | <5 | 0 | 35 | 25 | 0 |
Field IT compared to nutritional landscape. A, B. Grasshopper intake targets of the field populations (black solid line) alongside the nutrient contents of grasses (triangles) and forbs (circles) collected from the same fields. The grey solid line represents the intake target from the other field population. The dotted line represents a 1p:1c ratio. C, D. The average Euclidean distance between the plants (triangles and circles in A and B) and either the grasshopper IT from each location or the 1p:1c line. * denotes a significant difference between the Euclidean distances calculated from the IT and the 1p:1c line.
IT Statistics. MANCOVA statistics for field and lab intake target (IT) studies testing the effects of sex, diet treatments, and cohort (lab only) on the total amount of protein and carbohydrates consumed.
Population | Effect | Pillai’s trace Value | F | Error df | Sig. |
---|---|---|---|---|---|
Bliss, ID | Intercept | 0.972 | 364.1 | 21.000 | 0.000 |
Initial mass | 0.146 | 1.792 | 21.000 | 0.191 | |
Sex | 0.255 | 3.599 | 21.000 | 0.045 | |
Diet pair | 0.662 | 20.580 | 21.000 | 0.000 | |
Sex * Diet pair | 0.008 | 0.086 | 21.000 | 0.918 | |
Boise, ID | Intercept | 0.037 | 0.774 | 40.000 | 0.468 |
Initial mass | 0.341 | 10.330 | 40.000 | 0.000 | |
Sex | 0.008 | 0.155 | 40.000 | 0.857 | |
Diet pair | 0.126 | 2.890 | 40.000 | 0.067 | |
Sex * Diet pair | 0.005 | 0.108 | 40.000 | 0.898 | |
Lab Colony | Intercept | 0.474 | 13.070 | 29.000 | 0.000 |
Initial mass (covariate) | 0.029 | 0.438 | 29.000 | 0.649 | |
Sex | 0.152 | 2.606 | 29.000 | 0.091 | |
Cohort | 0.510 | 5.141 | 60.000 | 0.001 | |
Diet pair | 0.215 | 3.964 | 29.000 | 0.030 | |
Sex * Cohort | 0.029 | 0.220 | 60.000 | 0.926 | |
Sex * Diet pair | 0.033 | 0.502 | 29.000 | 0.610 | |
Cohort * Diet pair | 0.074 | 0.578 | 60.000 | 0.680 | |
Sex * Cohort * Diet Pair | 0.212 | 1.783 | 60.000 | 0.144 |
Chemical analyses.—The macronutrient ratios of the sampled plants in the Bliss and Boise locations were close to the self-selected ITs for both populations, as indicated by the small Euclidean distances between the sampled plants’ p:c ratio and the IT (Average Euclidean distances of combined plants ± SE: Population 1 = 0.021 ± 0.006; Population 2 = 0.010 ± 0.002). Using a Wilcox rank-sum test, we found there was no significant difference in the average Euclidean distances, calculated between the sampled plants and the IT (Fig.
Lab
self-selected intake targets.—We calculated ITs for each of the three blocks of the experiment, and t-tests were used to determine if both treatment groups were regulating consumption or eating randomly and were compared to each other. Grasshoppers given Treatment A ate significantly different portions from the high carbohydrate and high protein dishes, overall consuming slightly more from the high protein dish, and appeared to regulate their consumption (Table
IT paired t-tests to determine if there was equal consumption from both diets in each treatment group.
Population | Paired t test | t | p | df |
---|---|---|---|---|
Bliss, ID | a 7p:35c + 28p:14c | 112.520 | <0.001 | 12 |
Bliss, ID | b 7p:35c+ 35p:7c | 123.330 | <0.001 | 13 |
Boise, ID | a 7p:35c + 28p:14c | -20.384 | <0.001 | 22 |
Boise, ID | b 7p:35c+ 35p:7c | -51.120 | <0.001 | 22 |
Lab | a 7p:35c + 28p:14c | -4.008 | 0.006 | 21 |
Lab | b 7p:35c+ 35p:7c | -0.008 | 0.994 | 20 |
Performance experiments. Survival and specific growth rates of grasshoppers from the long-term lab colony no-choice diet experiments. A. The specific growth rates for each diet treatment. Diamonds indicate the mean and bolded lines indicate the median. Boxes are +/- 25%, lines represent minimum and maximum values excluding extreme values, and dots indicate data points > 1.5 farther from the box edge than the interquartile range. Lower case letters indicate differences from Mann-Whitney post-hoc analyses. B. The proportion of grasshoppers surviving through time on each diet treatment. Most diet treatments did not have individuals die until the 5th day of the experiment, and most treatments except 7p:35c had minimal deaths (although there were no significant differences among treatments). C. Proportion of grasshoppers molting to adults over time. Most of the diets saw increases in molting from days 5–7, except diet treatment 7p:35c, which was delayed and had the least number of grasshoppers successfully molt (significantly different from all other treatments).
Lab performance
.—Using the no-choice experiments, we determined the specific growth rate (Fig.
We analyzed the final proportion molted and proportion survived using Fisher’s exact test of independence since grasshoppers were removed from the experiment after they had either molted or died. There was no significant difference in survival among the treatment groups (p = 0.4298). However, there was a significant difference among treatment groups regarding the final proportion of grasshoppers successfully molted (p = 0.003), with the 7p:35c treatment group being significantly different from all other diet treatments. Overall, diet treatment 7p:35c had the lowest proportion of grasshoppers survive and molt (Fig.
Our long-term lab colony selected a balanced 1p:1c IT, which is similar to previous studies using first (1p:0.96c;
There is some evidence from lab-based experiments that populations either adapt or acclimate to their nutritional environment by matching their IT and performance to their ancestral diet (
Results from field-based research, on the other hand, suggest that aligning ITs and performance to match the nutritional landscape is uncommon in the absence of long-term specialization and that physiological status is a better predictor of IT than ambient plant nutrient contents. For example, in West Africa, Oedaleus senegalensis (Krauss, 1877), the Senegalese grasshopper, did not shift its IT to match seasonal shifts in plant p:c; instead, ITs correlated poorly with plant nutrients and varied with age and sex (
In Paraguay, field populations of Schistocerca cancellata (Serville, 1838), the South American locust, maintained a carbohydrate-biased IT and only gained mass when fed the most carbohydrate-biased plants, despite being in a quite protein-biased landscape (
The current study using the migratory grasshopper provides some support for both non-mutually exclusive hypotheses: that population IT is shaped by local nutritional landscape and by physiological status. Under standard rearing conditions, the colony has ad libitum access to foods encompassing a broad macronutrient range: wheat seedlings (1.9p:1c), romaine lettuce (1p:2.6c), and wheat bran (1p:4.1c) (Brosemann et al. unpubl.;
The field populations both had carbohydrate-biased ITs that matched their local environments. Although the 1p:2c Boise population IT could have been reached based on the plants available in both field environments, the 1p:3c IT that the Bliss population selected could only have readily been reached in the Bliss location (Fig.
Many environmental factors can influence herbivore physiology and result in shifting the IT, such as activity level and pathogens. For example, Locust migratoria (Linnaeus, 1758), the migratory locust, increased carbohydrate, but not protein, consumption following 120 min of tethered flight (
Understanding the nutritional requirements of rangeland grasshoppers is important not only for understanding what types of vegetation grasshoppers will be most likely to eat but also for developing novel management strategies. For example, the balance of macronutrients is important for immune function in insects and may be important to consider when biopesticides are used for management (
Another aspect to consider is how biopesticide treatment might affect pest host plant preference, as it could cause the target pests to consume crops and other plants it might not normally otherwise. Biopesticides aside, knowing how pests respond to nutritional landscapes can open pathways for population suppression through agricultural practices. For example, for locusts and migratory grasshoppers that thrive in low nitrogen environments (
Special acknowledgments to Lori Atkins in Boise, Idaho for the use of her property for running the field experiments; Brad Newbry of the United States Department of Agriculture’s Animal and Plant Health Inspection Service (APHIS) Plant Protection and Quarantine (PPQ) Field Operations in Idaho for grasshopper field survey information; Dustin Grief, who helped with running some experiments; the Cease Lab, Arizona State University; the Global Locust Initiative; and Mark Tubbs of Tubbs Land and Cattle LLC in South Dakota for graciously allowing us to use his ranch for a test run of the field population studies. This material was made possible, in part, by a Cooperative Agreement (AP17PPQS&T00C180) from USDA APHIS. It may not necessarily express APHIS’ views.
Data type: Environmental data
Explanation note: Table