Journal of Natural History, 44: 13, 861–867

Author Posting. (c) Taylor & Francis, 2010. This is the author's version of the work. It is posted here by permission of Taylor & Francis for personal use, not for redistribution. The definitive version was published in Journal of Natural History, Volume 44 Issue 13, April 2010. doi:10.1080/00222930903528206 (http://dx.doi.org/10.1080/00222930903528206)

Temperature-dependent geographic variation in the flashes of the firefly Luciola cruciata (Coleoptera: Lampyridae) Yutaka Iguchi (E-mail: [email protected]) Laboratory of Biology, Yamashita-cho 1–10–6, Okaya City, Nagano Prefecture, 394-0005, Japan (Received 6 January 2009; final version received 1 December 2009) This study examined the regression of male interflash intervals of Luciola cruciata on ambient air temperatures at five sites in central Japan. The result indicated a significant negative correlation between these two variables at any of the sites. The regression lines varied from site to site, and therefore the five local populations were classified into three types; the fast-flash, slow-flash, and intermediate types. This classification was supported by molecular biological studies, but contradicted the results of previous ecological studies based on interflash intervals only. My result suggests that first the slow-flash type and then the intermediate type evolved from an ancestral fast-flash type. The geographic variation in flashes of this firefly may have arisen from shifts in the response of male flashes to ambient temperature. Keywords: Luciola cruciata; interflash interval; ambient temperature; geographic variation

Introduction Fireflies generally have species-specific flash patterns to communicate with each other (Lloyd 1966, 1973; Ohba 1983, 2004; Lewis and Cratsley 2008). However, it remains unclear how these flash patterns have evolved. Some firefly species are well known for their spectacular synchronous flashing (Buck and Buck 1966; Lloyd 1973). The Japanese firefly Luciola cruciata (Coleoptera, Lampyridae) is a particularly well-studied species whose males show mass synchronous flashing (Ohba 1983, 2004). The most interesting feature of the synchronous flashing of this species is that its interflash interval varies geographically from about 2 s in western Japan to about 4 s in eastern Japan (Kanda 1935; Ohba 1988, 2001, 2004; Tamura et al. 2005). Ohba (1988) and Mitsuishi (1990) showed that these geographic differences can be easily detected with a stop watch. However, no detailed statistical analysis of these differences has ever been performed except for an experimental study by Tamura et al. (2005). My recent field study (Iguchi 2009) demonstrated

861

that even when L. cruciata fireflies were transported into other areas, they still showed their original interflash intervals. Molecular biological studies have indicated that these geographic differences arose from genetic differences (Suzuki 1997, 2001; Yoshikawa et al. 2001; Suzuki et al. 2002). Nevertheless, they are not morphologically distinguishable (Suzuki 2001; Ohba 2004). On the other hand, recent ecological studies have indicated that the interflash intervals of L. cruciata largely depend on ambient air temperature (Iguchi 2002; Abe et al. 2004). Similar temperature dependence of firefly flashes has also been observed in other firefly species (Lloyd 1966, 2000; Carlson et al. 1976; Michaelidis et al. 2006). Abe et al. (2004) predicted that the geographic variation observed in L. cruciata would be artifacts resulting from differences in ambient temperature, and that if interflash intervals were measured at a constant temperature, no geographic variation would be observed. However, this prediction has not yet been tested in detail in the field.

Japan Sea

139゜E N

138゜E Study site 1. Tomioka 2. Chino 3. Matsuo-kyo 4. Kofu 5. Shimobe

1 3 2

36.3゜N Tokyo

4 5

35.4゜N 0

100 km

Pacific Ocean Figure 1. Locations of the five study sites, Tomioka, Chino, Matsuo-kyo, Kofu, and Shimobe in central Japan. For convenience, the location of Tokyo, the capital of Japan, is also shown.

In the present paper, I test the prediction of Abe et al. (2004) by exploring the relationship between ambient temperatures and interflash intervals at five sites in central Japan; namely, Tomioka, Chino, Matsuo-kyo, Kofu, and Shimobe (Figure 1). L. cruciata populations in central Japan have been well studied both ecologically (Ohba 1988, 2001; Mitsuishi 1990) and genetically (Yoshikawa et al. 2001; Suzuki et al. 2002; Baba et al. 2005; Hiyori et al. 2007), because this region corresponds to the boundary between the eastern and western flash types. The ecological studies explored interflash intervals only and classified the five populations into two groups; Matsuo-kyo (the western 2-s flash type) and the other four (the eastern 4-s flash

862

type) (Kanda 1935; Ohba 1988; Suzuki et al. 2002). However, the molecular biological studies based on DNA haplotypes classified them into three groups; namely, Tomioka, Matsuo-kyo and the other three (Yoshikawa et al. 2001; Suzuki et al. 2002; Baba et al. 2005; Hiyori et al. 2007). This discrepancy between the ecological and molecular biological studies remains unexplored. In this study, I investigated interflash intervals of this firefly and ambient temperatures at the above five sites. Then, I conducted a regression analysis of these two variables. The result suggests that the five regression lines corresponding to the five L. cruciata populations reflect true geographic variation in the interflash intervals of this species. The aim of this paper is to show the importance of such regression analysis. The result is also discussed in the context of the evolution of temperature- dependent flash patterns in this species. Materials and methods Study sites The five study sites are located in central Japan and 50 to 100 km away from each other (Figure 1). The location data (latitude and longitude coordinates) are shown in Table 1. Measurement of interflash intervals Observations were carried out on 4–6 nights at each site between May and July in 2001 and 2003. In L. cruciata, while searching for females, many males are hovering and flashing synchronously. Therefore, I observed the synchronous flashing of a group of approximately 3–20 fireflies hovering within approximately 3–5 m in radius between 21:00 and 24:00. Then, I paid attention to a single firefly in the group flashing synchronously and then measured its interflash interval as the time between the beginning of a flash and that of the next one to the nearest 0.01 seconds with a digital stop watch (Maruman Maow Sports Timer, Maruman, Japan; accuracy, 0.01s). My recent field study (Iguchi 2009) demonstrated that the average of about 30 measurements with a stop watch did not differ significantly from that of measurements with an oscilloscope. Therefore, this procedure was repeated 30 times within 30 minutes per night. Table 1. Study sites. Sites Tomioka Chino Kofu Shimobe Matsuo-kyo

Coordinates 36.2711°N, 35.9837°N, 35.6911°N, 35.4464°N, 35.9921°N,

863

138.8103°E 138.1940°E 138.5741°E 138.4592°E 138.0014°E

I also recorded ambient air temperature to the nearest 0.1 °C with a thermometer (Sato Keiryouki Mfg., Japan; accuracy, ±1 °C) hanging from a branch of a tree at a height at which the fireflies were hovering and flashing. The thermometer was set up 30 minutes before each observation to stabilize its reading. In each observation, air temperature did not change more than approximately 1 °C for 30 minutes. Nevertheless, I used the value of temperature measured 15 minutes after the first measurement of interflash intervals. Data analysis First, I calculated a linear regression of interflash intervals on ambient temperatures at each of the five sites. Then, I used analysis of covariance to test for heterogeneity in slope and elevation (that is, y values for a given x after fitting a common slope). Once the slopes or elevations of the five populations were significantly heterogeneous, I used Tukey’s multiple comparison tests for differences between each pair of slopes or elevations (Zar 1996). Results

Interflash interval (s)

6

Tomioka (

5

)

Shimobe ( ) Kofu ( ) Chino ( )

4 3 2

Matsuo-kyo (

)

1 13

15 17 19 21 Ambient air temperature (°C)

23

Figure 2. Linear regressions of interflash intervals on ambient air temperatures at the five study sites. Mean interflash intervals and their standard errors are given. However, the standard errors at Shimobe, Kofu, Chino, and Matsuo-kyo were too small (< 0.06) to be shown.

There was a significant negative correlation between ambient temperatures and interflash intervals at any of the five sites (Figure 2; Pearson correlation, Tomioka: r = –0.30, n = 120; Chino: r = –0.70, n = 150; Matsuo-kyo: r = –0.80, n = 180; Kofu: r

864

= –0.75, n = 120; Shimobe: r = –0.80, n = 180; p < 0.001 for all). The analysis of covariance indicated no significant heterogeneity in slope among the five populations (F4,770 = 1.39, P = 0.24), but significant heterogeneity in elevation (F4,774 = 1081.7, P < 0.001). Tukey’s multiple comparison tests (k = 4, ν = 562) indicated no significant difference in elevation among Chino, Kofu, and Shimobe (q < 3.75, P > 0.05 for any combination of two sites), but significant differences between each of the three sites and Tomioka (q > 29.5, P < 0.001 for any combination) and between each of the three sites and Matsuo-kyo (q > 54.0, P < 0.001 for any combination). Consequently, the five populations were classified into three types with regard to interflash intervals; Tomioka (slow-flash type), Matsuo-kyo (fast-flash type), and the other three sites (intermediate-flash type). Discussion It is noteworthy that the above three types of L. cruciata populations differed in interflash interval from each other at any temperature measured. Abe et al. (2004) predicted that if interflash intervals were measured at a constant temperature, they would not vary geographically. However, my result clearly contradicts their prediction. Several studies have shown the temperature dependence of interflash intervals not only in L. cruciata but also in other firefly species (Lloyd 1966, 2000; Carlson et al. 1976). However, the present study is the first to show how ambient temperature contributes geographic variation in interflash intervals. Molecular biological studies on this firefly showed that this geographic variation is the result of genetic variation (Yoshikawa et al. 2001; Suzuki et al. 2002). Moreover, Tamura et al. (2005) experimentally showed that this geographic variation reflects variation in male preference for interflash intervals. My result suggests that this geographic variation may have evolved through shifts in the response of male flashes to ambient temperature. With regard to the five populations examined here, previous ecological studies examined interflash intervals only and classified them into two groups; namely, Matsuo-kyo and the other four (Kanda 1935; Ohba 1988; Suzuki et al. 2002). However, my result clearly classified them into three groups; namely, Tomioka, Matsuo-kyo and the other three. My result was also supported by molecular biological studies (Yoshikawa et al. 2001; Suzuki et al. 2002; Baba et al. 2005; Hiyori et al. 2007), suggesting that the regression of interflash intervals on ambient temperatures better explains geographic variation in L. cruciata. Molecular biological studies (Yoshikawa et al. 2001; Suzuki et al. 2002) have shown that the fast-flash type is an ancestral flash type and that the slow-flash type evolved from an ancestral fast-flash type. However, the phylogenetic position of the intermediate type was unclear. As shown in Figure 3, my result suggests that first the slow-flash type and then the intermediate type evolved from an ancestral fast-flash type. Ohba’s pioneer studies first revealed distinct geographic variation in the interflash intervals of L. cruciata (Ohba 1988, 2001, 2004). Many ecological and molecular biological studies on this species have been based on his studies (Suzuki

865

1997, 2001; Yoshikawa et al. 2001; Suzuki et al. 2002; Tamura et al. 2005; for a review, see Lewis and Cratsley 2008). Ohba (2001) also found a negative correlation between temperature and interflash intervals at a single study site. However, he did not consider the effects of temperature on interflash intervals at many other sites when classifying local populations of L. cruciata as the 2-s, 3-s, and 4-s flash types (Ohba 2001, 2004). My result showed that interflash intervals of this species varied from site to site, depending on temperature. Therefore, it may be necessary to reexamine both interflash intervals and ambient temperatures throughout Japan in order to reveal true geographic variation in L. cruciata.

Study sites: Matsuo-kyo

Flash types: Fast DNA types: II-i (II)

Shimobe Tomioka Kofu Chino Intermediate Slow II-ii (II-a) I-ii (I-b)

Figure 3. The relationship between flash types and DNA types. The phylogenic tree was constructed on the basis of mitochondrial DNA studies (Yoshikawa et al. 2001; Suzuki et al. 2002). The three flash types are shown in Figure 2. In the DNA types, II-i, II-ii, and I-ii denote Suzuki et al.’s (2002) classification, and II, II-a, and I-b denote Yoshikawa et al.’s (2001) classification.

References Abe N, Inagaki T, Ishikawa H, Adachi M, Hoshiba H. 2004. The effects of temperature on the light emission pattern of Luciola cruciata—A consideration of the common theory of the geographical distribution of the two types of the firefly. Bull Biogeogr Soc Japan. 59: 75–81. [in Japanese with English summary]. Baba H, Hiyori Y, Kusaoke H. 2005. Geographic variation in the mitochondrial DNA of the Genji-firefly Luciola cruciata in the Fossa Magna region, central Japan. Zenkoku Hotaru Kenkyukai-shi (an annual journal of the Japan Association for Fireflies Research) 38: 51–56. [in Japanese]. Buck J, Buck E. 1966. Biology of synchronous flashing of fireflies. Nature 211: 562–564. Carlson AD, Copeland J, Raderman R, Bulloch AGM. 1976. Role of interflash intervals in a

866

firefly courtship (Photinus macdermotti). Anim Behav. 24: 786–792. Hiyori Y, Mizuno T, Kusaoke H. 2007. The influence of an intentionally introduced population on the genetic structure of a native population in the Genji-firefly Luciola cruciata. Zenkoku Hotaru Kenkyukai-shi (an annual journal of the Japan Association for Fireflies Research) 40: 25–27. [in Japanese]. Iguchi Y. 2002. The influence of temperature on flash interval in the Genji-firefly Luciola cruciata (Coleoptera: Lampyridae). Ent Rev Jpn. 57: 119–122. Iguchi Y. 2009. The ecological impact of an introduced population on a native population in the firefly Luciola cruciata (Coleoptera: Lampyridae). Biodivers Conserv. 18: 2119–2126. Kanda S. 1935. Hotaru. Tokyo, Japan: Nihon Hakko Seibutsu Kenkyukai. [in Japanese]. Lewis SM, Cratsley CK. 2008. Flash signal evolution, mate choice, and predation in fireflies. Annu Rev Entomol. 53: 293–321. Lloyd JE. 1966. Studies on the flash communication system in Photinus fireflies. Univ Mich Misc Publ. 130: 1–95. Lloyd JE. 1973. Fireflies of Melanesia: bioluminescence, mating behavior, and synchronous flashing (Coleoptera: Lampyridae). Environ Entomol. 2: 991–1008. Lloyd JE. 2000. On research and entomological education Ⅳ: quantifying mate search in a perfect insect—seeking true facts and insight (Coleoptera: Lampyridae, Photinus). Florida Entomol. 83: 211–228. Michaelidis CI, Demary KC, Lewis SM. 2006. Male courtship signals and female signal assessment in Photinus greeni fireflies. Behav Ecol. 17: 329–335. Mitsuishi T. 1990. Genji Botaru. Nagano, Japan: The Shinano Mainichi Shimbun. [in Japanese]. Ohba N. 1983. Studies on the communication system of Japanese fireflies. Sci Rept Yokosuka City Mus. 30: 1–60. Ohba N. 1988. Genji Botaru. Tokyo, Japan: Bun-ichi Sogo Press. [in Japanese]. Ohba N. 2001. Geographical variation, morphology and flash pattern of the firefly, Luciola cruciata (Coleoptera: Lampyridae). Sci Rept Yokosuka City Mus. 48: 45–89. [in Japanese with English summary]. Ohba N. 2004. Flash communication systems of Japanese fireflies. Integr Comp Biol. 44: 225–233. Suzuki H. 1997. Molecular phylogenetic studies of Japanese fireflies and their mating systems (Coleoptera: Cantharoidae). Tokyo Metro Univ Bull Nat Hist. 3: 1–53. Suzuki H. 2001. Studies on biological diversity of firefly in Japan. Int J Indust Entomol. 2: 91–105. Suzuki H, Sato Y, Ohba N. 2002. Gene diversity and geographic differentiation in mitochondrial DNA of the Genji firefly, Luciola cruciata (Coleoptera: Lampyridae). Mol Phylogenet Evol. 22: 193–205. Tamura M, Yokoyama J, Ohba N, Kawata M. 2005. Geographic differences in flash intervals and pre-mating isolation between populations of the Genji firefly. Ecol Entomol. 30: 241–245. Yoshikawa T, Ide K, Kubota Y, Nakamura Y, Takebe H, Kusaoke H. 2001. Intraspecific genetic variation and molecular phylogeny of Luciola cruciata (Coleoptera: Lampyridae) inferred from the mitochondrial ND5 gene sequences. Jpn J Ent (N S). 4: 117–127. Zar JH. 1996. Biostatistical Analysis. 3rd ed. Upper Saddle River, New Jersey, USA: Prentice Hall.

867

Temperature-dependent geographic variation

59: 75–81. [in. Japanese with English summary]. Baba H, Hiyori Y, Kusaoke H. 2005. Geographic variation in the mitochondrial DNA of the. Genji-firefly Luciola cruciata in the Fossa Magna region, central Japan. Zenkoku Hotaru. Kenkyukai-shi (an annual journal of the Japan Association for Fireflies Research) 38: 51–56. [in.

119KB Sizes 1 Downloads 206 Views

Recommend Documents

Geographic and Seasonal Variation in Alkaloid-Based ...
May 5, 2006 - Abstract Poison frogs contain an alkaloid-based chemical defense that is derived from a diet of certain alkaloid-containing arthropods, which include mites, ants, beetles, and millipedes. Variation in population-level alkaloid profiles

Geographic variation in commercial medical-care ...
Available online xxx ... part of our framework, we construct a medical-care expenditure index (MCE) ... exists a large degree of variation in spending across markets. The ...... Of course, to the extent that physicians price procedures individually,.

evolutionary significance of geographic variation in a ... - BioOne
3E-mail: [email protected]. 4Centre for Ecological Research, Polish Academy of Sciences, 05-092 Łomianki, Dziekanów Lesny, Poland. 5University of Arizona, Arizona Research Laboratories Division of Neurobiology, 611 Gould-Simpson Building, Tucson

geographic variation in schedule h filing rates
ment growth for child-care and home health-care aides runs .... Selma, AL, Greenville, MS, and Shreveport, LA. Table 2 lists the .... of Personnel Management in time for this study.] Table 3 ..... Schedule H filing rates is the degree of economic.

geographic variation in schedule h filing rates
Table 2. Twenty Zip Codes Areas with the Highest Schedule H Filing Rates: TY 2003. Region. State .... of the nation.9 In support of this view, we point out that the ...

Individual and Geographic Variation of Skin Alkaloids in ...
Jan 15, 2008 - Springer Science + Business Media, LLC 2007. Abstract ... alkaloid composition (number, type, and amount) were .... All of these species are small, diurnal frogs ..... details concerning structures of the more than 800 alkaloids.

Geographic Variation in Trace Element Composition of Juvenile ...
in the multivariate elemental signatures was found among sites within an ... Interannual variability in the trace element signatures meant that fish could not be ac-.

nefopam, regulatory outcome: variation
Mar 11, 2017 - Considering the presented cumulative analysis of cases reporting withdrawal symptoms and drug abuse the ... Package Leaflet. •. Section 4 ...

Conceptualizing human variation
Oct 26, 2004 - use of the term 'race' and its relationship to a range of data. The quest is for a more ... 1National Human Genome Center, College of Medicine, Howard University, .... gins, predominantly West African and West Central African. They are

National Geographic Scheurkalender - SCIP.be
In september 2015 bracht National Geographic de nieuwe scheurkalender 2016 op de markt. Voor een keertje deden ze beroep op de mooiste beelden van ...

Gospel of Judas - National Geographic
of humanity. And since some [walked] in the way of righteousness while others walked .... SCENE 3: Judas recounts a vision and Jesus responds. Judas said ...

australian geographic adventures.pdf
australian geographic adventures.pdf. australian geographic adventures.pdf. Open. Extract. Open with. Sign In. Main menu. Displaying australian geographic ...

national geographic oil.pdf
Energy sources, renewable energy, oil, coal national geographic. Oil. prices the great energy challenge blog. National geographic special. report gulf oil spill ...

National geographic france
National geographicfrance.Mobb deep theinfamous flac.National geographicfrance. ... P squareis_safe:1.Noraroberts pdf.Supermanwonder woman. annual.

By Geographic Region.pdf
St Lawrence 9 10 12 15 16 2 1 2 4 4. Warren 6 10 12 14 12 1 0 0 0 0. Catskills/Lower Hudson 35 40 38 40 43 5 4 5 9 6. Columbia 0 1 1 1 0 0 0 0 0 0. Delaware 4 ...

Eliminating unpredictable variation through iterated learning Abstract ...
result from a process of iterated learning in simple diffusion chains of adults. An iterated artificial language learning methodology was used, in which participants ...

Active substance: chloroquine Regulatory outcome: variation
Mar 31, 2016 - 30 Churchill Place ○ Canary Wharf ○ London E14 5EU ○ United Kingdom ... Procedure Management and Committees Support. List of ...

VECTORIAL TOTAL VARIATION BASED ON ...
compared with STV. Note that all the program codes were imple- mented by MATLAB without parallelization. 3.2. Compressed sensing reconstruction. We also ...

Variation in dung beetle (Coleoptera: Scarabaeoidea) - CiteSeerX
Dec 13, 2016 - in the Bulgarian Rhodopes Mountains: A comparison. JORGE M. LOBO1 ... mators ACE (abundance-based coverage estimator) and Chao1.