Open Access
How to translate text using browser tools
12 August 2009 Highly Polymorphic Microsatellites in the North American Snakeweed Grasshopper, Hesperotettix viridis
Tony Grace, Anthony Joern, Jennifer L. Apple, Susan J. Brown, Samantha M. Wisely
Author Affiliations +
Abstract

Microsatellite markers are preferred for fine-scale population genetic studies requiring high resolution. The grasshopper Hesperotettix viridis (Thomas) is an oligophagous species that feeds on composites and often exhibits locally restricted diets. Divergence in host plant use in some localities is seen where co-occurring subpopulations select alternate plant species, as expected with the evolution of host shifts and associated lineage divergence. To characterize the host-associated divergence patterns among populations of H. viridis, we developed markers from two microsatellite-enriched genomic libraries. Here we report the characterization and optimization of seven polymorphic di- and tri-nucleotide microsatellite loci for this species. One hundred and six individuals from 5 populations were tested for polymorphism. The number of alleles varied from 4 to 38 in all the populations. Ho ranged from 0.339 to 0.790. Homozygote excess was observed across loci, perhaps due to inbreeding. This is the first report of microsatellite markers for the subfamily Melanoplinae.

Introduction

The grasshopper Hesperotettix viridis (Thomas) is oligophagous, feeding on composites (Asteraceae) in the tribe Astereae (Mulkern et al. 1969; Joern 1979; Parker 1984, 1985). When all feeding records for H. viridis are combined from across its broad geographic range, a moderate list of host species results (∼ 35 spp.) (Pfadt 1994). However detailed feeding records of local populations show highly restricted diets, with populations of H. viridis often behaving almost as host specialists (Mulkern et al. 1969, Parker 1984, Traxler & Joern 1999). Moreover, it is not unusual to find nearby populations specializing on different host species (Traxler & Joern 1999). Microhabitat selection in H. viridis is also highly restrictive; individuals spend most of their time on host plants, and move only short distances to neighboring plants of the same species (Parker 1984).

Because broadly distributed species offer a spatial and temporal context for unraveling evolutionary forces that drive lineage diversification and speciation, H. viridis provides unique opportunities for investigating the evolutionary process of dietary divergence that may promote local adaptation and ultimately lineage divergence. Several factors could contribute to variation and species divergence and deciphering the importance of these factors is key to understanding the relative contributions of different evolutionary processes in genetic differentiation and speciation (Knowles & Richards 2005). To observe the fine-scale adaptive landscape, and to understand the underlying mechanisms of host shift, molecular markers that allow fine-scale phylogeographic resolution and that are able to detect recent demographic events are required. To our knowledge, this is the first report of microsatellite markers in the acridid (Orthoptera) subfamily Melanoplinae. However, several nuclear markers have been reported in Melanoplinae (Carstens & Knowles 2006).

Microsatellites are preferred for fine-scale population genetic studies due to their high degree of polymorphism and abundance in eukaryotic genomes (Grace et al. 2005). Several advantages in using microsatellites include: a) locus specificity, b) codominance, which allows separation of heterozygotes from homozygotes, c) high variability, which provides a wealth of information at finer scales than possible with other markers, and d) usefulness in detecting recent demographic events.

To develop microsatellite markers, high-quality genomic DNA was extracted from one individual of H. viridis using the DNA Easy Kit from QIAGEN. Genomic DNA was enriched for microsatellite repeats as described in Hamilton et al. (1999). The microsatellite enrichment protocol involved restriction of DNA into fragments of approximately 500 base pairs, by cutting with restriction enzymes Rsa 1 and Hae 111. This was followed by ligation of double-stranded Snx linkers to each end of the DNA fragments (SnxF 5′-CTAAGGCCTTGCTAGCAGAAGC-3, SnxR 5′-GCTTCTGCTAGCAAGGCCTTAGAAAA- 3′). Enrichment was completed by hybridizing template DNA with biotinylated microsatellite probes containing di-, tri- and tetra-nucleotide repeats. DNA fragments with microsatellite repeats were then recovered from the hybridization buffer using Avidin D beads. Eluted DNA fragments were recovered by PCR amplification using Snx primers. Enriched PCR fragments were cloned into a plasmid vector (Invitrogen), followed by transformation into chemically competent Eschenchia coli cells. Positive clones were picked using blue-white selection. The inserts were isolated and amplified by PCR, usingT3 (5′-AATTAACCCTCACTAAAGGG-3) and T7 (5-TAATACGACTCACTATAGGG-3) primers. Five hundred and thirty PCR fragments were thus amplified from the clones. PCR amplifications were carried out on an Eppendorf Master Cycler (Eppendorf Inc.) in a 30 µl-reaction volume. The reaction mixture contained 11.75 µl of water, 6 µl of 5x Taq buffer, 3 µl of 25 mM MgCl2 3 µl of 2 mM dNTPs, 1.8 µl of each primer (10 µg/µl), 0.15 µl of 5U Taq DNA Polymerase (Promega) and 2.5 µl of DNA. Cycling conditions included an initial denaturation step of 94°C for 3 min followed by 35 cycles of 95°C for 30 s, 50°C for 45 s and 72°C for 30 s and concluded with a final annealing step at 72°C for 10 minutes. The PCR products were run on a 1% agarose gel and fragments containing inserts of ∼>300 bp with a single clean band were selected, and sequenced. Three hundred and sixteen samples were selected for sequencing. PCR products from the selected clones were purified and sequenced on an ABI 3730xl automated sequencer at the Advanced Genetic Technologies Center (AGTC) at the University of Kentucky, USA. Sequencing analysis revealed 295 clones with microsatellite inserts.

Fragments with simple sequence repeats and enough flanking sequence from which to design primers were retained. One hundred and ninety-five clones without sufficient flanking regions from which to design primers were discarded. Oligonucleotide primers flanking both sides of the microsatellite repeat were designed for 99 loci using Primer 3 software ( http://frodo.wi.mit.edu//) and further checked using Oligo Analyzer ver. 3.0, primer analysis software (Integrated DNA Technologies Inc:  http://www.idtdna.com/analyzer/applications/oligoanalyzer) and then synthesized at the Integrated DNA Technologies, Coralville, IA.

These PCR fragments were then fluorescently labeled in a 3-primer PCR reaction (Schuelke 2000) and visualized by an ABI 3730 DNA analyzer. This low-cost method of genotyping involves three primers: the forward primer of each locus which contains the M13 (-21) universal sequence (18bp) at the 5′ end (5′- TGTAAA ACGACGGCCAGT 3′), a locus-specific reverse primer and a third fluorescently labeled HEX-M13 (-21) universal primer: HEX-TGTAAA ACGACGGCCAGT-3′ (5-HEX= hexachloro-6-carboxy-fluorescine). PCR amplifications were carried out on an Eppendorf Master Cycler (Eppendorf Inc.) in 20-µl reaction volume as above, except for adding the third primer. To optimize annealing temperatures, we used gradient PCR for each primer set, which included an initial denaturation step of 94°C for 3 min, followed by 35 cycles of 95°C for 30 s, 48–60°C ( 12-step gradient design) for 30 s and 72°C for 30 s followed by 8 cycles of 95°C for 30 s, 53°C for 30 s and 72°C for 30 s for the fluorescently labeled m 13 primer, and concluded with a final annealing step of 72°C for 15 min. Optimum temperatures were determined for each primer set by visualizing the bands of PCR products on a 1% agarose gel. For the fragments that amplified, the temperature that gave the best amplification (clear and bright band without multiple bands) was selected, and this temperature was used in further analysis. Of the 99 primer sets designed for microsatellites, 52 primer sets amplified a single fragment. Out of these, 6 were later discarded due to amplification inconsistencies.

DNA from 12 individuals was prepared for 46 primer sets in 20 µl reaction volumes and amplified using the optimal amplification temperature for each primer set, determined as described above. These samples were then prepared for ABI genotyping by diluting the PCR product 1:4 times in DNA-grade water. Four µl of the diluted PCR product was mixed with 8 µl of the size standard/formamide mixture (mixture of 1.25% Genescan 400 (Rox) size standard and 98.75% Hi-Di Formamide) and denatured for 4 min at 95°C. The denatured product was run on an ABI Genotyper at the Gene Expression Facility at Kansas State University, Manhattan, USA. The alleles were scored in Genemarker ver. 1.70 (SoftGenetics Inc).

Monomorphicloci and loci that produced inconsistent peaks were discarded. Optimization, which included varying the concentrations of various PCR components and varying annealing temperatures, was conducted for each polymorphic locus to minimize nonspecific amplification. Thirty-nine loci that produced aberrant results were discarded. Seven loci that gave consistent results were retained for further analysis. Optimized primers for the seven polymorphic loci were then tested on 106 individuals from five populations of H. viridis in Kansas [Ellis, Gutierrezia (n=26); Ellis, Solidago (n=23); Cimmaron, Gutierrezia (n=8), Seward; Gutierrezia (n=19); Marysville, Solidago (n=30)]. Each homozygous genotype and 10% of all heterozygotes were twice amplified independently to assess allelic drop-out.

All seven loci were polymorphic (0.95 criterion, Hartl & Clark 1997). The number of alleles varied from four in Hvir 97 to 38 in Hvir 32. Expected heterozygosity values ranged from 0.486 to 0.964, while observed heterozygosities ranged from 0.339 to 0.790 (Table 1).

Statistical tests were conducted to test for Hardy-Weinberg equilibrium and linkage disequilibrium using ARLEQUIN ver. 3.1 (Excoffier et al. 2005) and FIS values were estimated using FSTAT ver. 2.9.3.2 (Goudet 2001). Tests for deviation from Hardy-Weinberg equilibrium showed significant differences in observed and expected heterozygosity at all seven loci.

Testing for null alleles using MICROCHEKER ver. 2.2.3 (Van Oosterhout et. al. 2004) indicated that null alleles may be a problem at some of the loci. But results of mating studies conducted in our lab (Grace et. al. unpub. data) reveal high levels of assortative mating based on host-plant type. Results of the mating studies, coupled with the fact that H. viridis populations in Kansas are highly fragmented in nature, suggest that inbreeding is occurring in these populations. High FIS values observed in populations support this hypothesis. (FIS values: Ellis, Gutienezia = 0.301; Ellis, Solidago =0.313; Cimmaron, Gutierrezia =0.275; Seward, Gutierrezia =0.282; Marysville, Solidago =0.332).

The observed deviations in Hardy-Weinberg equilibrium are likely due to the highly fragmented nature of the H. viridis populations, to inbreeding as a result of assortative mating, or to both. Significant multilocus linkage disequilibrium was also detected in the populations (Table 2). Several factors could result in significant multilocus disequilibrium among microsatellite loci as observed in other studies, due to factors such as high inbreeding (Ferreira et al. 2007, Machado et al. 2004) or local adaptation (Ferreira et al. 2007). High levels of inbreeding were observed in all the populations screened. Deficit of heterozygotes and linkage disequilibrium between loci represents bimodality in the study area where parental forms (two host forms) predominate and are maintained by strong reproductive isolation. The observed deficit could also be a result of grouping two genetically differentiated forms together that mate assortatively. Even though we cannot rule out linkage, based on mating preference studies conducted in our lab and inbreeding coefficient values observed, we interpret that inbreeding, rather than physical linkage between specific markers, is the most probable reason for the observed linkage disequilibrium.

Table 1.

Characteristics of seven polymorphic microsatellite loci in Hesperotettix viridis. Ho, observed heterozygosity and HE, expected heterozygosity; * observed and expected heterozygosities are significantly different from each other. (Genbank accession numbers given below locus description).

t01_19.gif

Table 2.

Linkage disequilibrium between pairs of microsatellite loci in five populations of Hesperotettix viridis. Shaded areas indicate significant linkage disequilibrium with exact ρ values. (Adjusted ρ value for 5% nominal level is 0.0023).

t02_19.gif

Acknowledgements

We thank the Ecological Genomics Institute, Kansas State University and Division of Biology, Kansas State University Manhattan, KS, USA for funding.

References

1.

B.C. Carstens , L.L. Knowles 2006. Variable nuclear markers for Melanoplus oregonensis identified from the screening of a genomic library. Molecular Ecology Notes 6: 683–685. Google Scholar

2.

L. Excoffier , G. Laval , S. Schneider 2005. Arlequin version 3.0: an integrated software package for population genetics data analysis. Evolutionary Bioinformatics Online 1: 47–50. Google Scholar

3.

M. Ferreira , N. Karunaweera , M. Da Silva-Nunes , N.S. da Silva , D. Wirth , D. Hartl 2007. Population structure and transmission dynamics of Plasmoaium vivax in rural Amazonia. Journal of Infectious Diseases 195: 1218–1226. Google Scholar

4.

T. Grace , S. Kambhampati , B. Subramanyam 2005. Characterization of polymorphic microsatellite markers in the Indian meal moth Plodia interpunctella (Lepidoptera: Pyralidae). Molecular Ecology Notes 5: 321–323. Google Scholar

5.

J. Goudet 2001. FSTAT, a program to estimate and test gene diversities and fixation indices (version 2.9.3). Google Scholar

6.

M.B. Hamilton , A. Pincus , E.L. Di Fiore , R.C. Fleischer 1999. Universal linker and ligation procedures for construction of genomic DNA libraries enriched for microsatellites. BioTechniques 27: 500–507. Google Scholar

7.

L.D. Hartl , A.G. Clark 1997. Principles of Population Genetics, 3rd edn. Sinauer Associates, Sunderland, Massachusetts. Google Scholar

8.

A. Joern 1979. Feeding patterns in grasshoppers (Orthoptera: Acrididae): factors influencing diet specialization. Oecologia 38: 325–347. Google Scholar

9.

A. Joern 1985. Grasshopper dietary (Orthoptera: Acrididae) from a Nebraska Sand Hills prairie. Transactions of Nebraska Academy of Sciences 13: 21–32. Google Scholar

10.

L.L. Knowles , C.L. Richards 2005. Importance of genetic drift during Pleistocene divergence as revealed by analyses of genomic variation. Molecular Ecology 14: 4023–4032. Google Scholar

11.

R.D. Machado , M. Povoa , V.P. Calvosa , M. Ferreira , A.B. Rossit , E.M. dos Santos , D. Conway 2004. Genetic structure of Plasmodium falciparum populations in the Brazilian Amazon region. Journal of Infectious Diseases 190: 1547–1555. Google Scholar

12.

G.B. Mulkern , K.P. Pruess , H. Knutson , A.F. Hagen , J.B. Campbell , J.D. Lambley 1969. Food habits and preferences of grassland grasshoppers of the North Central Great Plains. Agricultural Experiment Station, North Dakota State University, Fargo, ND. Google Scholar

13.

C. Van Oosterhout , W.F. Hutchinson , D.P.M. Wills , P. Shipley 2004. Microchecker: software for identifying and correcting genotyping errors in microsatellite data. Molecular Ecology Notes 4: 535–538. Google Scholar

14.

M.A. Parker 1984. Local food depletion and the foraging behavior of a specialist grasshopper, Hesperotettix viridis. Ecology 65: 824–835. Google Scholar

15.

M.A. Parker 1985. Size-dependent herbivore attack and the demography of an arid grassland shrub. Ecology 66: 850–860. Google Scholar

16.

R.E. Pfadt 1994. Snakeweed grasshopper, Hesperotettix viridis (Thomas). Wyoming Agricultural Experiment Station Bulletin Species Fact Sheets 912: 1–4. Google Scholar

17.

M. Schuelke 2000. An ergonomic method for the fluorescent labeling of PCR fragments, A poor mans approach to genotyping for research and high-throughput diagnostics. Nature Biotechnology 18: 233–234. Google Scholar

18.

M.A. Traxler , A. Joern 1999. Performance tradeoffs for two hosts within and between populations of the oligophagous grasshopper Hesperotettix viridis (Acrididae). Oikos 87: 239–250. Google Scholar
Tony Grace, Anthony Joern, Jennifer L. Apple, Susan J. Brown, and Samantha M. Wisely "Highly Polymorphic Microsatellites in the North American Snakeweed Grasshopper, Hesperotettix viridis," Journal of Orthoptera Research 18(1), 19-21, (12 August 2009). https://doi.org/10.1665/034.018.0111
Accepted: 1 April 2009; Published: 12 August 2009
KEYWORDS
Hesperotettix viridis
host-associated divergence
local adaptation
microsatellite markers
snakeweed grasshopper
Back to Top