Research Article |
Corresponding author: Hasan Sevgili ( hsevgili@gmail.com ) Academic editor: Klaus-Gerhard Heller
© 2024 Ebru Kıran Özdemir, Hasan Sevgili, Emine Bağdatlı.
This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Citation:
Kıran Özdemir E, Sevgili H, Bağdatlı E (2024) Diversity in body size, bioacoustic traits, and cuticular hydrocarbon profiles in Isophya autumnalis populations. Journal of Orthoptera Research 33(2): 233-248. https://doi.org/10.3897/jor.33.118937
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This study investigates the variations in body size, bioacoustic traits, and cuticular hydrocarbon (CHC) profiles in different populations of the bush cricket species Isophya autumnalis Karabağ, 1962. Within-population body size variations, particularly those associated with distinct habitat differences and climate shifts within their local distribution ranges, suggest that ecological factors affect morphological characteristics. Sexual size dimorphism (SSD) in I. autumnalis may affect reproductive behavior and strategies, potentially influenced by the bioacoustic environment. While male calling songs exhibit temporal variations across populations, suggesting differences among allopatric populations, CHC profiles, known to undergo selection under various climatic conditions, also vary noticeably across local populations. These findings highlight the importance of understanding within-species variations for the conservation of Isophya and similar taxa in the face of habitat threats. Overall, this study contributes to a comprehensive understanding of how morphology and bioacoustic behavioral traits are shaped over short distances in allopatric populations of species with limited mobility, such as I. autumnalis, providing insights into adaptation processes and highlighting the urgency of conservation efforts for endemic species in Anatolia.
biodiversity, chemical signals, ecological variation, evolution, male calling song, Orthoptera, plump bush-cricket, speciation
There are four main speciation types: allopatric, peripatric, parapatric, and sympatric (
Understanding the degree of variation in biochemical, behavioral, and morphological characters within populations is crucial. Insect mating recognition systems often rely on species-specific chemical compound profiles driven by strong sexual selection (
In particular, research on meadow grasshoppers of the genus Chorthippus Fieber, 1852 (Acrididae) shows that whereas its species are very difficult to distinguish morphologically, genetically, and ecologically, they can be clearly differentiated through species-specific bioacoustic traits (
Turkey has a highly diverse geography and rich biological diversity with different genetic patterns across short distances. In the present study, we investigated the variability of several taxonomic characters in local subpopulations of Isophya autumnalis Karabağ, 1962 (IA). The genus Isophya Brunner von Wattenwyl, 1878 is distributed in the Palaearctic region but is especially concentrated in the Balkans and Anatolia and includes species with short wings and limited mobility. Out of 90 species globally, the 44 species and subspecies distributed in Anatolia include 77% local endemic species with narrow distributions (
Isophya’s distinctive species-level taxonomic characters derive from morphology, bioacoustics (
CHCs, which consist of an intricate blend of unsaturated hydrocarbons, methyl-branched alkanes, and n-alkanes secreted from arthropod cuticles, are a biochemical taxonomic character in social insects (
Rather than addressing these functions, we investigated the taxonomic utility of CHC profiles based on their variation across local populations of IA. However, we also hypothesize that CHC profiles in Isophya populations will be less variable than morphological/morphometric and bioacoustic characters. This is because Isophya species are not eusocial insects, and male calling songs are used for communication, such as finding mates. We also hypothesized that males and females within a population would have dimorphic CHC profiles. The results of this study are important for understanding which characters are particularly important for speciation processes in narrowly distributed and endemic populations. The results can also aid efforts to conserve narrowly distributed endemic species by clarifying which traits are more variable in allopatric populations. Given that Isophya species have a fragmented distribution pattern due to their limited mobility and unique habitat preferences (
The plump bush crickets.—The model for our study, IA, is an endemic species described by Karabağ in 1962 based on material collected during a field study in September from the Zigana Mountains (Trabzon, Turkey). In species of the genus Isophya, the wings of both sexes are shortened and do not reach half of the abdomen, and the wings, especially in males, have a species-specific sound-producing organ (stridulatory organ) (
Spatial differences of the sampling locations.—Species’ presence in a habitat, their ecological niche, and distribution patterns, including habitat quality, seasonality, and life cycles, can often be understood by utilizing remote sensing variables (
For this purpose, the Sentinel-2B level-2A product was downloaded using the European Space Agency (ESA) data portal (https://browser.dataspace.copernicus.eu/). Satellite images were downloaded after applying a search constraint to ensure cloud cover was below 5%. The files were downloaded with high resolution selected. All viewing and analysis processes were conducted using the “raster” and “ggplot2” R packages. Satellite data from July 15, 2018 to August 31, 2018 were evaluated, which is the period when the adult stages of IA passed through and samples were collected. NDVI and NDMI data were downloaded for both July and August for a snow-free and cloud-free 2 km2 area over the location where the specimens were collected. In addition, Sentinel -2 bands BO4 (red) and BO8 (NIR-near-infrared) were used to calculate the NDVI index. The normalized difference vegetation index, NDVI = (NIR-RED)/(NIR+RED) equation was used to calculate the normalized difference moisture index, NDMI = (NIR-B11)/(NIR+B11) (
Field study.—During field studies conducted in Trabzon and Gümüşhane provinces in June–July 2018, populations were found at five different locations in, approximately, a line from north to south (Fig.
Maintenance of the bushcrickets.—In the laboratory, the samples were transferred to larger 50 × 30 × 30 cm cages, with males and females separated. The cages were cleaned every two days and supplied with the same amount of nettle (Urtica dioica), Taraxacum sp., lettuce, and apple slices. The adult males and females were transferred to smaller individual cages and given the above-mentioned food. Water was sprayed into the cages every day to provide moisture. Adult males began producing sounds on the second or third day, and calling songs were recorded after the third day. Specimens were collected from field locations at different times due to differences in aspect, vegetation structure, and distance between locations. However, feeding conditions were standardized, and care was taken to ensure that the specimens were of the same age.
Bioacoustics.—To record the males’ two-syllable calling songs, each male was placed in a small cage and taken to an isolated room where it could not hear the calling songs of other males. Songs were recorded from each individual for at least 3 minutes. All recordings were made under the same temperature conditions (25–27°C). For song recordings, a condenser ultrasonic microphone (Avisoft Bioacoustics CM16/CMPA, sampling rate 96 kHz) connected to a digital recorder, TASCAM HD-P2, was used. The recorded songs were analyzed using Raven Pro software (Raven Sound Analysis 2022) by taking the necessary spectral measurements. The males were then preserved at -80°C together with the females (all 8 days old) based on their field locations to examine the CHC profiles and morphological measurements. Song methodology and terminology follows
Morphology/morphometry.—The taxonomically important anatomical parts of each specimen, such as the head, fastigium, pronotum, wing, hind femur, cercus, subgenital plate, epiproct, and ovipositor of females, were photographed with a stereo zoom microscope (Suppl. material
Regarding morphology, measurements were taken of the fastigium length, fastigium base width, interocular distance, dorsal pronotum length, pronotum width, lateral pronotum length, right posterior femur length, epiproct length and width, subgenital plate length, shortest proximal and distal cercus lengths in males, and length of the ovipositor and subgenital plate of females (see Suppl. material
To identify potential size dimorphism in local populations, sexual size dimorphism (SSD) was estimated for each population based on the following formula: SSD = (size of the larger sex/size of the smaller sex). A positive result indicates that females are the larger sex and vice versa (
CHC extraction and analysis.—Determination of the specimens’ CHC profiles followed the methods traditionally used for research on Orthoptera (
Statistics.—Principal component analysis (PCA) was applied to the measurement data from the morphological parts for both sexes (66 females; 57 males), as shown in Suppl. material
PCA was applied to number of teeth, distal distance, proximal distance, and stridulatory file length, taken from the SEM image of the stridulatory organs of the male wings (Fig.
Before the analysis, the area under each peak on the chromatograph was divided by the area of the internal standard (pentadecane) to control for variations in CHC extraction efficiency between specimens. These ratios were then transformed using log10 to ensure that the data were normally distributed. The data for each peak were then analyzed by PCA using the “Factoextra” and “FactoMineR” R packages (
Spatial differences of the localities.—The Zigana and Krom Valley regions were evaluated together due to their geographical proximity and the availability of similar climate data. All the regions evaluated exhibited different patterns of temperature, humidity, and precipitation (no data for Pekün) (Suppl. material
The pixel values of the July and August plots of NDVI, NDMI, and SWIR data vary across localities (Suppl. material
Morphometry.—Suppl. material
Regarding the PCA of the morphometric measurements of males, the first four components, which collectively explained 67.67% of the variance, all had eigenvalues greater than 1. Comparing populations based on PC1, the Zigana population was significantly distinct from the other populations (ANOVA, F4,51 = 21.15, p < 0.001) (Fig.
PC1 was predicted by the following variables in descending order of importance: interocular distance (15.72%), hind femur length (14.46%), epiproct width (14.46%), lateral pronotum length (13.77%), and cercus length (13.04%). The PC2 component was significantly influenced by fastigium length (30.16%), proximal width of fastigium (38.11%), and epiproct length (26.86%).
Regarding the PCA of the female morphological measurements, the first three components, collectively explaining 68.72% of the variance, had eigenvalues greater than 1. Comparing the populations based on PC1 and PC2, only the Zigana population was significantly distinct from the others (ANOVA; F4,61 = 28.91, p < 0.001) (Fig.
In terms of common morphological structures measured in both males and females (fastigium, interocular distance, pronotum, hind femur, and subgenital plate), PC1, which explained 45.49% of the variance, exhibited clear sexual dimorphism, with females being significantly larger (t-test; t = -17.71, df = 119.91, p < 0.001). However, for pronotum length, which is an important indicator of body size, like hind femur length in bush crickets (
Sexual size dimorphism.—Although there was a decreasing SSD trend from north to south in the local IA populations, this difference was not statistically significant (ANOVA; F1,54 = 1.897, t = -1.377, R2 = 0.034, p = 0.174) (Fig.
Male calling song.—The main syllable typically exhibits a crescendo structure, transitioning to a decrescendo slightly past the midpoint. Sometimes, an “after-click” impulse is created at the end of the syllables (Fig.
Principal component analysis (PCA) plots based on some morphological characteristics of allopatric populations of the male Isophya autumnalis (A). Boxplots of morphological traits among different populations (B). Different letters on top of boxplots indicate significant differences. Those with the same letters do not have a statistically significant difference from each other.
Principal component analysis (PCA) plots based on some morphological characteristics of allopatric populations of the female Isophya autumnalis (A). Boxplots of morphological traits among different populations (B). Different letters on top of boxplots indicate significant differences. Those with the same letters do not have a statistically significant difference from each other.
Stridulatory organ and bioacoustics.—SEM photos of stridulatory files of the populations are given in Fig.
Stridulatory organ length was significantly positively correlated with number of teeth (R2 adj = 0.33, p < 0.001). Regarding the number of teeth, the Krom Valley population had significantly fewer than the others except the Pöske Dağı population (ANOVA, F4,51 = 8.419, p < 0.001). There were no significant differences between the other populations. The average number of teeth across all populations was 156±13.11 (mean±sd) (range: 128 to 185).
Regarding the PCA analysis of the male stridulatory organ measurements, the first two components, which explained 80% of the variance, both had eigenvalues greater than 1. Comparing populations based on PC1, there were significant differences (ANOVA; F4,51 = 13.47, p < 0.001) (Fig.
Principal component analysis (PCA) plot based on the variables proximal-distal shortest length, distance to the distal and proximal edges, and number of sound teeth of male stridulatory organs of Isophya autumnalis (A). Boxplot of the measurements among different populations (B). Different letters on top of boxplots indicate significant differences. Those with the same letters do not have a statistically significant difference from each other.
PCA was also conducted for 12 variables measuring the temporal features of the male calling songs. These included five temporal variables and seven impulse-related variables during crescendos and decrescendos, and second syllable impulse counts. The first four PCs, explaining 77.65% of the variance, all had eigenvalues greater than 1. PC1, which explained the most variance (32.29%), differed significantly across populations (ANOVA, F4,1302 = 919.9, p < 0.001). Post-hoc analysis indicated significant differences between all populations except the Vauk and Pöske Mountain populations (p = 0.396) (Fig.
Principal component analysis (PCA) plot based on temporal characteristics of the male calling song of Isophya autumnalis (A). Boxplots of the measurements among different populations (B). Different letters on top of boxplots indicate significant differences. Those with the same letters do not have a statistically significant difference from each other.
The variables contributing the most to PC1 were number of impulses and crescendos in the first syllable (13.04% and 17.64%, respectively), the duration of first syllable (11.63%), and the duration between the two syllables (15.52%). The variables contributing most to PC2 were total duration of the sound (23.66%), duration of the first syllable (11.06%), duration between the two syllables (8.56%), duration of song period (12.20%), and number of impulses in the first syllable (13.04%).
Cuticular hydrocarbon analysis.—The CHC profile analysis identified four types of hydrocarbon structures: alkanes, monomethyl alkanes, dimethyl alkanes, and alkadienes. The following straight-chain alkanes were the most frequently represented: hexatriacontane (C36 – 13.55%), tritriacontane (C33 – 8.18%), hentriacontane (C31 – 7.10%), nonacosane (C29 – 6.61%), tetratriacontane (C34 – 6.39%), heptacosane (C27 – 6.61%), and octacosane (C28 – 5.20%). Of the other peaks, the major components were 3,11-dimethylnonacosane (7.21%) and 2-methylhexacosane (7.10%).
GC/MS showed that the CHC profile of IA contained different number of compounds for each sex (Figs
PC1, PC2, and PC3 clearly separated the local populations, while PC1 and PC2 separated individuals according to sex and interaction of sex and locality (Table
Principal component analysis (PCA) plot of cuticular hydrocarbon (CHC) phenotypes of males and females from populations in different localities (A). Sexually dimorphic CHC differentiation in the species when all locations are included (B). The ellipses in the figure are the confidence ellipses around the group means in the principal components space of the function.
Statistics of the cuticular hydrocarbon variation for five local populations of Isophya autumnalis.
Effect | PC1 | PC2 | PC3 | PC4 | PC5 | |||||
---|---|---|---|---|---|---|---|---|---|---|
F4,113 | P | F4,113 | P | F4,113 | P | F4,113 | P | F4,113 | P | |
Locality | 8.703 | <0.001 | 5.212 | <0.001 | 4.702 | 0.001 | 0.619 | 0.65 | 0.592 | 0.669 |
F1,113 | F1,113 | F1,113 | F1,113 | F1,113 | ||||||
Sex | 116.333 | <0.001 | 12.561 | <0.001 | 0.299 | 0.585 | 0.486 | 0.487 | 0.942 | 0.333 |
Sex:Locality | 11.886 | <0.001 | 10.133 | <0.001 | 1.301 | 0.274 | 2.522 | 0.045 | 2.204 | 0.073 |
Tukey’s HSD post-hoc test | Padj | Padj | Padj | Padj | Padj | |||||
Pöske M.-Vauk M. | <0.004 | 0.011 | 0.977 | 0.996 | 0.993 | |||||
Zigana-Vauk M. | <0.001 | 0.204 | 0.011 | 0.995 | 0.995 | |||||
Krom Valley-Vauk M. | <0.001 | 0.329 | 0.997 | 0.795 | 0.932 | |||||
Pekün M.-Vauk M. | <0.001 | <0.001 | 0.993 | 0.981 | 0.971 | |||||
Zigana-Pöske M. | 0.932 | 0.887 | 0.002 | 0.949 | 1 | |||||
Krom Valley-Pöske M. | 0.741 | 0.732 | 0.907 | 0.586 | 0.762 | |||||
Pekün M.-Pöske M. | 0.642 | 0.892 | 0.999 | 0.883 | 0.834 | |||||
Krom Valley-Zigana | 0.995 | 0.999 | 0.043 | 0.96 | 0.805 | |||||
Pekün M.-Zigana | 0.99 | 0.383 | 0.002 | 0.999 | 0.871 | |||||
Krom Valley-Pekün M. | 0.999 | 0.218 | 0.949 | 0.971 | 0.999 |
Body size.—As in many animal groups, body size (measurements/mass) is one of the most important traits directly or indirectly affecting physiological processes and adaptability in Orthoptera species (
An analysis of over 1,500 Orthoptera species indicated a general female-biased body size dimorphism, which is stronger in Caelifera than in Ensifera (
Although the trend of our SSD results indicated that the Zigana Mountain population may be more dimorphic than the southern populations, this difference was not statistically significant. Some insect and many other animal species have been reported to have higher SSD in areas with higher humidity and rainfall (
Bioacoustics and stridulatory file.—As in most Orthoptera groups, the male calling song and stridulatory organ morphology of Isophya species have species-specific characteristics (
We found that both PC1 and PC2 are determined mainly by particular temporal features of the song and the structure of the stridulatory organ (Figs
Cuticular hydrocarbon profiles.—Regarding variation among local populations, CHC profiles did not show significant variation in the morphological structures examined for both sexes, as well as in the stridulatory organ located of the left wing and bioacoustic characters of males.
Several studies on CHC profiles have been conducted on various insect orders, such as Coleoptera (
Although CHCs can be useful in distinguishing between species, they may not differentiate as strongly as morphological, bioacoustic, and genetic characters (
Studies on Isophya and Tettigonia bushcrickets have reported the molecular data largely matching the bioacoustic and morphological characters (but see;
Our findings reveal a high degree of uniformity across morphological, bioacoustic, and CHC profiles in the studied populations of IA. However, noteworthy intraspecific variations were observed in certain localities, particularly regarding male stridulatory organ and bioacoustic parameters. Notably, the Vauk population exhibited unique CHC profiles compared to the other populations. This variability is evident across different geographic regions, although it did not consistently follow the same pattern for all studied characteristics.
Furthermore, our study provides preliminary insights into intraspecific sexual dimorphism and sexual selection in IA. However, further research is necessary to fully understand these variations across different IA populations.
Thus, this study contributes to a deeper understanding of intraspecific variability within IA. As the habitats of narrow-range endemic species such as IA face threats from human impacts, such as fragmentation, degradation, and even elimination, understanding the variations between local populations becomes crucial for the conservation of these ecologically diverse endemic populations in Anatolia.
Conceived and designed the field study and experiments: EKÖ, HS. Analyzed data and wrote the paper: HS. Conceived of the methodology of GC/MS to analyze CHC: EB.
Permission for the collection of the bush-crickets from the field was obtained from the Directorate of Nature Conservation and National Parks of Türkiye.
The authors declare no competing interests.
We are thankful to TUBITAK (The Scientific and Technological Research Council of Türkiye, Project Number: 117Z068) and Ordu University, TR (ODUBAP, No: B-1807) for their financial support. The authors would like to thank Hülya Önal Özdemir, Elif Açikel, and Bekir Gökçen Mazi for assistance with lab work.
Data type: pdf
Explanation note: fig. S1. Two males and a female with fresh spermatophore of Isophya autumnalis and views of the species’ preferred habitats from the Pöske and Zigana mountains. fig. S2. Body parts used for morphological measurements. fig. S3. SEM image of the stridulatory file of a male and morphometric measurements. fig. S4. Images plotting of normalized differences vegetation index (NDVI), normalized differences moisture index (NDMI), and short-wave infrared (SWIR) for the locality from Zigana mountain. fig. S5. Images plotting of normalized differences vegetation index (NDVI), normalized differences moisture index (NDMI), and short-wave infrared (SWIR) for the locality from Krom Valley. fig. S6. Images plotting of normalized differences vegetation index (NDVI), normalized differences moisture index (NDMI), and short-wave infrared (SWIR) for the locality from Vauk mountain. fig. S7. Images plotting of normalized differences vegetation index (NDVI), normalized differences moisture index (NDMI), and short-wave infrared (SWIR) for the locality from Pekün mountain. fig. S8. Images plotting of normalized differences vegetation index (NDVI), normalized differences moisture index (NDMI), and short-wave infrared (SWIR) for the locality from Pöske mountain. fig. S9. Comparison of average normalized differences vegetation index (NDVI) data for July and August according to localities. fig. S10. Comparison of average normalized differences moisture index (NDMI) data for July and August according to localities. fig. S11. Comparison of average short-wave infrared (SWIR) data for July and August according to localities.
Data type: docx
Explanation note: table S1. Monthly and annual temperature and relative humidity data for the studied region and its vicinity. No data available for Pekun mountain. table S2. Results of Tukey HSD statistics of some remote sending data between localities. NDVI: Normalized difference vegetation index. NDMI: Normalized differences moisture index. SWIR: short-wave infrared reflectance. table S3. Measurements of morphology and some bioacoustic parameters in I. autumnalis.