SciELO - Scientific Electronic Library Online

 
vol.30 author indexsubject indexarticles search
Home Pagealphabetic serial listing  

African Entomology

On-line version ISSN 2224-8854
Print version ISSN 1021-3589

AE vol.30  Pretoria  2022

http://dx.doi.org/10.17159/2254-8854/2022/a12473 

SHORT COMMUNICATION

 

No evidence for host plant associated genetic divergence in a population of Bullacris unicolor (Linnaeus, 1758) (Orthoptera: Pneumoridae)

 

 

R Sathyan; VCK Couldridge; A Engelbrecht

Department of Biodiversity and Conservation Biology, University of the Western Cape, Bellville, South Africa

Correspondence

 

 


ABSTRACT

Host-associated genetic differentiation in grasshoppers has received limited attention, due to a lack of information on grasshopper-plant associations. The bladder grasshopper, Bullacris unicolor (Linnaeus, 1758) (Orthoptera: Pneumoridae), is a phytophagous species that can occur on at least six host plants within its geographic range. However, the relationship between host plant association and genetic variation of bladder grasshoppers has not been studied before. In light of this, the present study examined host plant-related genetic [mitochondrial cytochrome oxidase 1 (CO1) and the internal transcribed spacer (ITS) gene regions] and morphological (antennal length, body length, head width, abdomen width, femur length, tibia length and pronotum length) divergence within a population of B. unicolor. We used two plant species, belonging to different families, namely Didelta spinosa (L.fil.) Aiton (Asteraceae) and Roepera morgsana (L.) Beier & Thulin (Zygophyllaceae), to evaluate variation between individuals collected on these two sympatric host plants at a single locality in the Northern Cape, South Africa. The results demonstrated non-significant host related genetic variation with very low values of FST, indicating a low level of variation. The phylogram strongly indicated that there are no host-associated genetic differences in B. unicolor by displaying limited genomic clustering, whereas some differentiation was observed between the morphological measurements of males and females among host plants. Further studies using microsatellite molecular markers may help to discern population genetic structure. In addition, significant host-associated morphological divergence highlights the need to examine the mechanisms by which host utilization affects morphological features.

Keywords: bladder grasshopper Didelta spinosa morphological divergence Roepera morgsana sympatric speciation


 

 

Genetic and phenotypic differences between insects feeding on different species of host plants are well documented and consistent with theories of sympatric speciation (Diehl & Bush 1984; Fritz & Simms 1992; Via 2001; Drès & Mallet 2002; Hsu et al. 2018). Host plant associated ecological divergence among insect populations is often assessed in terms of traits, such as feeding preferences, mate choice, growth, survivorship, performance and fecundity (Funk et al. 2002). Bladder grasshoppers (Orthoptera: Pneumoridae) are a group of insects predominantly found in the coastal regions of southern Africa, and represent an ideal model system on which to study the interactions between insects and plants, and how this interaction may serve as a driver of diversification.

Pneumorids have a high degree of host plant specificity, with each species living and feeding on either one or a small number of host plant species. They rely heavily on cryptic camouflage to avoid predation, with individuals being extremely well matched in terms of colour pattern to their specific host plant. Preliminary investigations have shown significant geographic variation in the morphology of males within and between populations (Sathyan et al. 2017), and that these differences appear to be fixed rather than plastic. All Bullacris species are specialized to feed on a small number of host plant species and many of the host plants used by Bullacris unicolor (Linnaeus, 1758) occur sympatrically (personal observation). Adult females and nymphs of B. unicolor are unable to fly and are poor jumpers. They therefore remain on their host plant their entire lives, whereas adult males can fly and thus may disperse from their natal site. All individuals are cryptically camouflaged to match their host plant, and individuals feeding on different host species, even within the same area, display different colour variations.

Bullacris unicolor feeds selectively on host plant species from a number of unrelated plant genera throughout its geographic range, including Didelta spinosa (L.fil.) Aiton (Asteraceae), Roepera morgsana (L.) Beier & Thulin (Zygophyllaceae), Salvia aurea L. (Lamiaceae), Tripteris oppositifolia (Aiton) B. Nord. (Asteraceae), Osteospermum moniliferum subsp. rotundatum (DC.) J.C.Manning & Goldblatt (Asteraceae), and Muraltia spinosa (L.) F.Forest & J.C.Manning (Polygalaceae). In this study, B. unicolor was sampled from two plant species, D. spinosa and R. morgsana. We measured morphological and genetic variation between individuals from the two different host plants to determine if there was host-associated differentiation. Through this study, we aim to evaluate the potential for host-associated reproductive isolation in this species.

A total of 38 individuals ofB. unicolor were collected from D. spinosa and R. morgsana (Figure 1) around the town of Springbok (29°39'S, 17°53'E) in the Northern Cape, South Africa. The host plant species was recorded during sampling. Among the sampled specimens, 24 were collected from D. spinosa and 14 from R. morgsana. We collected a mixture of adults and sub-adults (final instar, n = 16) to permit accurate host association, as adult males may move around once they begin calling (typically about a week after their final moult). Nymphs were reared to adulthood in the laboratory, and fed either their original host plant (if available), or otherwise on lettuce leaves. As all nymphs used were in the final instar stage and thus within days of their final moult into adulthood, we assumed this had no significant impact on growth and adult body sizes. To maximize the coverage of genetic variation, we collected individuals from an approximately 25 km2 area. Specimens were preserved in 95% ethanol at 4 °C for long-term storage until DNA extraction.

 

 

A series of seven linear measurements (mm), which included antennal length, body length, head width, abdomen width, femur length, tibia length and pronotum length were recorded for each ethanol preserved specimen following Donelson (2007) and Sathyan et al. (2017). We used multivariate analysis of variance (MANOVA) to compare the variation in male and female morphological characters within the population. The MANOVA compared each length variable against host plants, for both males and females. Mantel tests were used to test the relationship between morphological variation and genetic variation.

For each sample, we removed the hind legs and extracted genomic DNA using a MN Mechery Nagel tissue kit. The mitochondrial cytochrome oxidase 1 (CO1) and the internal transcribed spacer (ITS) gene regions were selected for this study. To amplify the partial sequence of mitochondrial gene COI (650bp), the forward primer LCO1490 (5'-GGTCAACAAATCATAAAGATATTGG-3') and reverse primer HCO 2198 (5'-TAAACTTCAGGGTGACCAAAAAATCA-3') were used (Folmer et al. 1994). For ITS (750bp), the ITS forward primer DgITS-F (5'- AGAGGAAGTAAAAGTCGTAACAAGG-3') and ITS reverse primer DgITS-R (5'- CCTTAGTAATATGCTTAAATTCAGG-3') were used (Roy et al. 2009).

PCR amplifications for both COI and ITS were carried out in a final volume of 25 μ! Ampliqon Taq DNA Polymerase Master Mix RED (Odense M, Denmark) - 12.5 μl Ampliqon Taq DNA Polymerase, 1.25 μl of the respective primer pairs and 10 μl ddH2O reactions, with 22.5 μl master mix and 2.5 μl of template DNA. For COI, the PCR cycling profile comprised an initial heating period of 94 °C for 3 min followed by 35 cycles of 94 °C for 30 s, 50 °C for 30 s and 72 °C for 1 min. A final extension step of 72 °C for 5 min was also added. For ITS, an initial heating period of 5 min at 94 °C was followed by 30 cycles of 94 °C for 30 s, 49 °C for 30 s, and 72 °C for 1 min. A final extension step of 72 °C for 10 min and a final hold at 15 °C was used. To confirm whether amplification was successful, 2 μl of the amplified products were electrophoresed on 1.5% agarose gel (1x Tris borate-EDTA), stained with ethidium bromide, in a TAE buffer system and visualized under a UV transilluminator. Successfully amplified products were sequenced using an automated sequencer (ABI 3100, Applied Biosystems®) (Folmer et al. 1994).

The DNA sequences were edited manually and then aligned using Bioedit sequence alignment editor, version 7.2.5 (Hall 2005). All haplotype/allele sequences were deposited in GENBANK under the accession numbers OK428651-OK428679 for the ITS and OK570351-OK570373 for the COI. The COI and ITS sequences were compared and blasted against other sequences of grasshoppers on GENBANK to authenticate the sequences. The closely related Bullacris membracioides was used as an outgroup.

For the Bayesian phylogenetic analysis and maximum likelihood (ML) analysis, the best-fit nucleotide substitution model was chosen in MODELTEST version 3.06 (Posada & Crandall 1998). Bayesian analyses were performed by means of the best-fit model using Mr Bayes version 3.2 (Ronquist & Huelsenbeck 2003). We ran four chains with 5 χ 107 generations in the Markov Chain Monte Carlo (MCMC) process. When the average standard deviation of the split frequencies was zero, convergence of the MCMC process was established. The first 25% of the MCMC samples were discarded as burn-in.

Genetic diversity was calculated in DnaSP version 5.10 (Librado & Rozas 2009), with mtDNA and ITS analysed separately. Genetic parameters for grasshoppers on each host plant species, including the number of haplotypes (Nh), haplotype diversity (Hd), nucleotide diversity (π) and the number of segregating sites, were analysed. Pairwise genetic divergence estimates (FST values) were calculated and tested for significance to assess the relative degree of divergence between individuals from the two host plants. Isolation by distance among sampled individuals was obtained by examining the correlations between matrices of pairwise genetic distance (FST) and morphological distance using PAUP version 4.0 (Swofford 2002). Mantel tests were used to test the strength of the relationship between the morphology and genetics using the ppcor package (Kim 2015) in R 4.1.0 (R Core Team, 2021).

We carried out a neighbour joining analysis in PAUP* 4.0 (Swofford 2002), with rooted phylogenetic trees constructed using the congeneric B. membracioides as an outgroup. Splits tree version 4.13.1 (Huson & Bryant 2006) was used to display haplotype sequence variation and the genetic distances of individuals collected from the two host plant species.

The results demonstrated non-significant host related genetic variation with very low values of FST, indicating a low level of variation. The phylogram strongly indicated that there were no host-associated genetic differences in B. unicolor, with limited genomic clustering evident. In contrast, some differentiation was observed between the morphological measurements of males and females for each of the host plant species. Monte Carlo nonparametric tests indicated non-significant differences from normality for all body measurements. MANOVA results revealed differences in the morphological characters of both males (Wilks' Lambda = 0.328, F = 1.172, P < 0.005) and females (Wilks' Lambda = 0.075, F = 3.529, P < 0.005) among individuals feeding on alternative host plants within the population. Males differed in pronotum length and females differed in head width, femur length and tibia length (Table 1). In all cases, measurements for grasshoppers feeding on D. spinosa were slightly larger.

 

 

The absence of clustering sequences, non-significant P-values and negative or low FST values indicated that host plants do not support phylogenetic tracking in B. unicolor (Figures 2 and 3). Moreover, the substitution rates of ITS between the two host plants showed low values (0.3%). These results suggest that the individuals from different host plants are not genetically isolated. Pairwise distances of CO1 and ITS showed similar levels of genetic variation within B. unicolor found on D. spinosa (3.64% and 0.38%) and R. morgsana (2.56% and 0.39%) and between host plants (3.00% and 0.37%) (Table 2). These results suggest that the level of host-associated intrapopulation genetic variation was extremely low and little sequence divergence was evident both within D. spinosa and R. morgsana. Mean mitochondrial intrapopulation divergence values were higher than nuclear DNA as predicted, because of the faster mutation rate in the mitochondrial genome (Simon et al. 1994).

 

 

Morphological distance was not significantly correlated with genetic distance, suggesting that morphological differences between individuals within the population were not predicted by genetic distance. Mantel tests revealed that both male and female morphological distance was not correlated with either the CO1 or ITS gene [males (CO1: -0.103, P = 0.690 and ITS: r = 0.077, P = 0.312), and females (CO1: -0.030, P = 0.544 and ITS: 0.089, P = 0.326)].

Despite the lack of genetic divergence related to host plant use, there was evidence of morphological variation, with individuals feeding on D. spinosa being comparatively larger in size. This finding may not be surprising given the evidence of host-associated growth rate and the effects of host plant quality on fecundity of herbivorous insects (reviewed in Bush & Butlin 2001; Awmack & Leather 2002). The components of host plant quality, such as chemical compounds and nutritional content directly affect herbivorous insects' fecundity, and reproductive strategies. The success of predators and parasitoids may also be affected by host plant characteristics (Matsubayashi et al. 2010). Thus, the observed relationship between host plants and morphology may be the product of multiple mechanisms, such as selective predation, developmental plasticity, adaptive and non-adaptive processes (Augustyn et al. 2017; Hsu et al. 2018).

Insect divergence is frequently associated with host preferences, as the latter can directly result in assortative mating (Wood & Keese 1990; Bruce 2015). Host shifting is traditionally expected between closely related plant species, as they share similarities in chemical compounds (Janz & Nylin 1997). Given the lack of support for phylogenetic tracking, this is unlikely to be the case between B. unicolor and their host plants, as these plants do not share any physical similarities with each other and belong to different families.

The combination of low nucleotide diversity and high haplotype diversity in our data can be a signature of rapid demographic expansion (Avise 2000). Pairwise differences between sequences within populations were developed to test selective neutrality of mutations (Ramos-Onsins & Rozas 2002). Here, we chose Tajima's D (Tajima 1989) and Fu's Fs (Fu 1997) to detect population expansion as they differ in their approach. Tajima's D test is based on the allele frequency distribution of segregating nucleotide sites. In the present study, Tajima's D test and Fu's Fs show non-significant negative values for both COI and ITS sequences within the population. The negative values resulting from both tests indicate that there is an excess of rare mutations in this population, which can indicate recent expansion in the population (Table 3). Alternatively, these values can result from balancing selection on a nearby locus.

 

 

As in this study on B. unicolor, there is little evidence for host plant associated ecological and genetic divergence in grasshoppers (Chapman & Sword 1997; Sword et al. 2005). This is surprising given the evolutionary consequences of host plant associated divergence that are consistently noted across phytophagous insect groups. For example, evidence of host-associated genetic structure is consistent with processes of host-associated divergence in leaf mining fly species (Scheffer et al. 2021). In addition, divergence in host-acceptance behaviours on different host plants is a key aspect of evolutionary differentiation among closely-related taxa of phytophagous parasitic insects (Bierbaum & Bush 1990). Detailed examinations of local host use patterns are rare in grasshoppers, but such studies would be valuable as they would elucidate occurrences of local adaptation and resource associated divergence in this group (Sword & Dopman 1999; Traxler & Joern 1999).

There was no evidence of host-associated genetic differences in B. unicolor within a single population. However, host-associated morphological divergence highlighted the need to target the effect of host utilization, considering its potential importance as a key trait for promoting diversification. However, limitations on sample sizes were encountered and this compromised the number of individuals that could be analysed. Future research efforts will be needed to assess the factors shaping the observed variation in morphology and colour associated with host plant use. Further studies that make use of additional microsatellite molecular markers should also be carried out to discern the population genetic structure on a finer scale. Moreover, assessing host-associated divergence between allopatric populations is critical to elucidate instances of host shifting and resource associated divergence.

 

ACKNOWLEDGEMENTS

This work is based on research supported by the National Research Foundation of South Africa for a student bursary to R. Sathyan.

 

ORCID IDs

R Sathyan - https://orcid.org/0000-0003-3746-3175

VCK Couldridge - https://orcid.org/0000-0003-1948-6584

A Engelbrecht - https://orcid.org/0000-0001-8846-4069

 

REFERENCES

Augustyn WJ, Anderson B, van der Merwe JF, Ellis AG. 2017. Spatial turnover in host-plant availability drives host-associated divergence in a South African leafhopper (Cephalelus uncinatus). BMC Evolutionary Biology 17(1): 72. https://doi.org/10.1186/s12862-017-0916-0        [ Links ]

Avise J. 2000. Phylogeography: the history and formation of species. Cambridge (MA): Harvard University Press;. https://doi.org/10.2307/j.ctv1nzfgj7        [ Links ]

Awmack CS, Leather SR. 2002. Host plant quality and fecundity in herbivorous insects. Annual Review of Entomology 47(1): 817-844. https://doi.org/10.1146/annurev.ento.47.091201.145300        [ Links ]

Bierbaum TJ, Bush GL. 1990. Genetic differentiation in the viability of sibling species of Rhagoletis fruit flies on host plants, and the influence of reduced hybrid viability on reproductive isolation. Entomologia Experimentalis et Applicata 55(2): 105-118. https://doi.org/10.1111/j.1570-7458.1990.tb01353.x        [ Links ]

Bruce TJA. 2015. Interplay between insects and plants: dynamic and complex interactions that have coevolved over millions of years but act in milliseconds. Journal of Experimental Botany 66(2): 455-465. https://doi.org/10.1093/jxb/eru391        [ Links ]

Bush GL, Butlin R. 2001. Sympatric speciation in insects. In: Dieckmann U, Metz H, Doebeli M, Taut D, editors. Adaptive speciation. Cambridge, UK: Cambridge University Press;         [ Links ].

Chapman RF, Sword GA. 1997. Polyphagy in the Acridomorpha. In: Gangwere SK, Muralirangan MC, Muralirangan M, editors. The Bionomics of grasshoppers, katydids and their kin. Wallingford: CABI.         [ Links ]

Diehl SR, Bush GL. 1984. An evolutionary and applied perspective to insect biotypes. Annual Review of Entomology 29(1): 471-504. https://doi.org/10.1146/annurev.en.29.010184.002351        [ Links ]

Donelson N. 2007. Inter- and intraspecific variation in the Superfamily Pneumoridae. Retrieved from https://etd.ohiolink.edu/

Drés M, Mallet J. 2002. Host races in plant-feeding insects and their importance in sympatric speciation. Philosophical Transactions of the Royal Society of London: Series B 357(1420): 471-492. https://doi.org/10.1098/rstb.2002.1059        [ Links ]

Folmer O, Black M, Hoeh W, Lutz R, Vrijenhoek R. 1994. DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates. Molecular Marine Biology and Biotechnology 3: 294-297.         [ Links ]

Fritz RS, Simms EL. 1992. Plant Resistance to herbivores and pathogens. Chicago: University of Chicago Press;. pp 590. https://doi.org/10.7208/chicago/9780226924854.001.0001        [ Links ]

Fu Y. 1997. Statistical tests of neutrality of mutations against population growth, hitchhiking and background selection. Genetics 147(2): 915-925. https://doi.org/10.1093/genetics/147.2.915        [ Links ]

Funk DJ, Filchak KE, Feder KE. 2002. Herbivorous insects: model systems for the comparative study of speciation ecology. Genetica 116(2/3): 251-267. https://doi.org/10.1023/A:1021236510453        [ Links ]

Hall TA. 2005. BioEdit 7.0.5. (North Carolina State University, Department of Microbiology.) Available at http://www.mbio.ncsu.edu/BioEdit/bioedit.html [accessed 2 January 2020].

Hsu SU, Cocroft RB, Snyder RL, Lin CP. 2018. You stay, but I Hop: host shifting near and far co-dominated the evolution of Enchenopa treehoppers. Ecology and Evolution 8(4): 1954-1965. https://doi.org/10.1002/ece3.3815        [ Links ]

Huson D, Bryant D. 2006. Application of phylogenetic networks in evolutionary studies. Molecular Biology and Evolution 23(2): 254267. https://doi.org/10.1093/molbev/msj030        [ Links ]

Janz N, Nylin S. 1997. The role of female search behaviour in determining host plant range in plant feeding insects: a test of the information processing hypothesis. Proceedings of the Royal Society B Biological Sciences 264(1382): 701-707. https://doi.org/10.1098/rspb.1997.0100        [ Links ]

Kim S. 2015. ppcor: An R Package for a Fast Calculation to Semi-partial Correlation Coefficients. Communications for Statistical Applications and Methods 22: 665 -674.         [ Links ]

Librado P, Rozas J. 2009. DnaSP v5: a software for comprehensive analysis of DNA polymorphism data. Bioinformatics 25(11): 1451-1452. https://doi.org/10.1093/bioinformatics/btp187        [ Links ]

Matsubayashi KW, Ohshima I, Nosil P. 2010. Ecological speciation in phytophagous insects. Entomologia Experimentalis et Applicata134(1): 1-27. https://doi.org/10.1111/j.1570-7458.2009.00916.x        [ Links ]

Posada D, Crandall KA. 1998. Modeltest: testing the model of DNA substitution. Bioinformatics 14(9): 817-818. https://doi.org/10.1093/bioinformatics/14.9.817        [ Links ]

Ramos-Onsins SE, Rozas J. 2002. Statistical properties of new neutrality tests against population growth. Molecular Biology and Evolution 19(12): 2092-2100. https://doi.org/10.1093/oxfordjournals.molbev.a004034        [ Links ]

R Core Team. 2021. R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.

Ronquist F, Huelsenbeck JP. 2003. MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics 19(12): 1572-1574. https://doi.org/10.1093/bioinformatics/btg180        [ Links ]

Roy L, Dowling APG, Chauve CM, Buronfosse T. 2009. Delimiting species boundaries within Dermanyssus Duges, 1834 (Acari:Dermanyssidae) using a total evidence approach. Molecular Phylogenetics and Evolution 50(3): 446-470. https://doi.org/10.1016/j.ympev.2008.11.012        [ Links ]

Sathyan R, Engelbrecht A, Couldridge VCK. 2017. Morphological, acoustic and genetic divergence in the bladder grasshopper Bullacris unicolor. Ethology Ecology & Evolution 29(6): 552-573. https://doi.org/10.1080/03949370.2017.1287915.         [ Links ]

Scheffer SJ, Lewis ML, Hébert JB, Jacobsen F. 2021. Diversity and host plant-use in North American Phytomyza holly leafminers (Diptera: Agromyzidae): colonization, divergence, and specificity in a host-associated radiation. Annals of the Entomological Society of America 114(1): 59-69. https://doi.org/10.1093/aesa/saaa034        [ Links ]

Simon C, Frati F, Beckenbach A, Crespi B, Liu H, Flook P. 1994. Evolution, weighting, and phylogenetic utility of mitochondrial gene sequences and a compilation of conserved polymerase chain reaction primers. Annals of the Entomological Society of America 87(6): 651-701. https://doi.org/10.1093/aesa/87.6.651        [ Links ]

Swofford DL. 2002. PAUP* Phylogenetic analysis using parsimony (*and other methods). Version 4. Sunderland (MA): Sinauer Associates        [ Links ]

Sword GA, Dopman EB. 1999. Developmental specialization and geographic structure of host plant use in a polyphagous grasshopper, Schistocerca emarginata (= lineata) (Orthoptera: acrididae). Oecologia 120(3): 437-445. https://doi.org/10.1007/s004420050876        [ Links ]

Sword GA, Joern A, Senior LB. 2005. Host plant-associated genetic differentiation in the snakeweed grasshopper, Hesperotettix viridis (Orthoptera: acrididae). Molecular Ecology 14(7): 2197-2205. https://doi.org/10.1111/j.1365-294X.2005.02546.x        [ Links ]

Tajima F. 1989. Statistical method for testing the neutral mutation hypothesis by DNA polymorphism. Genetics 123(3): 585-595. https://doi.org/10.1093/genetics/123.3.585        [ Links ]

Traxler MA, Joern A. 1999. Performance tradeoffs for two hosts within and between populations of the oligophagous grasshopper Hesperotettix viridis (Acrididae). Oikos 87(2): 239-250. https://doi.org/10.2307/3546739        [ Links ]

Via S. 2001. Sympatric speciation in animals: the ugly duckling grows up. Trends in Ecology & Evolution 16(7): 381-390. https://doi.org/10.1016/S0169-5347(01)02188-7        [ Links ]

Wood TK, Keese MC. 1990. Host-plant-induced assortative mating in Enchenopa treehoppers. Evolution 44: 619-628.         [ Links ]

 

 

Correspondence:
R Sathyan
Email: rekhasreerreg@gmail.com

Received: 29 September 2021
Accepted: 20 October 2021