Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Reproductive capacity evolves in response to ecology through common developmental mechanisms in Hawai’ian Drosophila

View ORCID ProfileDidem P. Sarikaya, Samuel H. Church, View ORCID ProfileLaura P. Lagomarsino, Karl N. Magnacca, Steven Montgomery, View ORCID ProfileDonald K. Price, Kenneth Y. Kaneshiro, View ORCID ProfileCassandra G. Extavour
doi: https://doi.org/10.1101/470898
Didem P. Sarikaya
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge MA 02138
2Evolution and Ecology Department, University of California Davis, Davis CA 95616
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Didem P. Sarikaya
  • For correspondence: didemps@gmail.com extavour@oeb.harvard.edu
Samuel H. Church
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge MA 02138
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Laura P. Lagomarsino
3Biological Sciences, Louisiana State University, Baton Rouge LA 70803
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Laura P. Lagomarsino
Karl N. Magnacca
4Bishop Museum, 1525 Bernice Street, Honolulu HI 96817
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Steven Montgomery
4Bishop Museum, 1525 Bernice Street, Honolulu HI 96817
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Donald K. Price
5Biology Department, University of Hawaii Hilo, Hilo HI 96720
6Life Sciences, University of Nevada Las Vegas, Las Vegas NV 89154
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Donald K. Price
Kenneth Y. Kaneshiro
7Pacific Biosciences Research Center, University of Hawai’i at Manoa, Manoa HI 96822
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Cassandra G. Extavour
1Department of Organismic and Evolutionary Biology, Harvard University, Cambridge MA 02138
8Department of Molecular and Cellular Biology, Harvard University, Cambridge MA 02138
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Cassandra G. Extavour
  • For correspondence: didemps@gmail.com extavour@oeb.harvard.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Lifetime reproductive capacity, or the total number of offspring that an individual can give rise to in its lifetime, is a fitness component critical to the evolutionary process. In insects, female reproductive capacity is largely determined by the number of ovarioles, the egg-producing subunits of the ovary. Recent work has provided insights into the genetic and environmental control of ovariole number in Drosophila melanogaster. However, whether regulatory mechanisms discovered under laboratory conditions also explain evolutionary variation in natural populations is an outstanding question. Here we report, for the first time, insights into the mechanisms regulating ovariole number and its evolution among Hawai’ian Drosophila, a large adaptive radiation of fruit flies in which the highest and lowest ovariole numbers of the genus have evolved within 25 million years. Using phylogenetic comparative methods, we show that ovariole number variation among Hawai’ian Drosophila is best explained by adaptation to specific oviposition substrates. Further, we show that evolution of oviposition on ephemeral egg-laying substrates is linked to changes the allometric relationship between body size and ovariole number. Finally, we provide evidence that the developmental mechanism principally responsible for controlling ovariole number in D. melanogaster also regulates ovariole number in natural populations of Hawai’ian drosophilids. By integrating ecology, organismal growth, and cell behavior during development to understand the evolution of ovariole number, this work connects the ultimate and proximate mechanisms of evolutionary change in reproductive capacity.

Introduction

Reproductive capacity is an important life history trait that directly influences fitness by determining how many offspring an individual can leave behind. There is a wide range in potential fecundity across species (1, 2), which is often interpreted as trade-offs with presumed ecological and developmental constraints. Trade-offs have been invoked to explain patterns of egg-laying in animals, where total fecundity can correlate negatively with egg mass, clutch size or lifespan (3-10), and positively with body size (11-13). In addition to these hypothesized physical or growth-related constraints, life history parameters including predation risk, environmental variability, host specialization and levels of parental care have been proposed to influence evolutionary change in fecundity (1, 14-17), suggesting that this trait could represent a complex intersection between ecology and physiology. However, few studies have addressed how female reproductive capacity evolves in response to ecology, and how these pressures manifest as different phenotypes through changes in development.

In insects, female reproductive capacity is strongly influenced by the number of egg-producing structures called ovarioles (1, 18-23). Ovariole number is species-specific and genetically determined (24, 25). Most insects have limited intraspecific variation in ovariole number, and the effect of ovariole number on fecundity has been observed by comparing mean ovariole numbers within or between species. In many insects, including beetles, fruit flies, and aphids, ovariole number is positively correlated with fecundity between and within species (1, 21-23). For example, Drosophila melanogaster strains with naturally occurring or genetically manipulated higher ovariole numbers both show increased fecundity (18, 26). While physiological traits like egg production rate may also play an important role in determining reproductive capacity (27), these can be difficult to assess in laboratory settings where egg-laying conditions may not be suitable for some insects. In contrast, ovariole number has served as a proxy for reproductive capacity for decades (18), as it is a quantitative trait that can be easily measured from field and laboratory samples.

Ovariole number is established during larval and pupal stages (20), and can be affected by environmental conditions during this phase of development, including nutrition and temperature (24, 28, 29). During larval development, a specific group of cells called terminal filament cells (TFCs) form stacks called terminal filaments (TFs) that serve as the beginning point of each ovariole (30-33). Developmental mechanisms of ovariole number evolution are best characterized in species of the African melanogaster subgroup of Drosophila, where average ovariole number ranges from 43 to 18 per female (1, 34), and ovariole number differences result primarily from changes in TFC number (29, 35). Ovariole number is highly polygenic and regulated by pleiotropic genes (25), thus offering an opportunity to study the evolution of a complex quantitative trait in response to different environments.

Major shifts in ovariole number have been attributed to aspects of life history. Ovoviviparity, where females oviposit first instar larvae, is often correlated with reduced ovariole number (16), suggesting that increased parental investment is linked to reduced fecundity as observed in other animals (17). The stability of the environment and the predictability of egg-laying substrates may influence evolution of ovariole number, as more stable environments or abundant substrates are correlated with higher ovariole number, and species occupying unpredictable environments or scarce substrates tend to have lower ovariole numbers (15, 36). In the well-studied Drosophila melanogaster subgroup, previous studies have suggested that reproductive strategies and ovariole number evolve in response to oviposition or larval nutrition substrate (35-37). Most melanogaster subgroup species are generalists that oviposit on a variety of decaying fruits, and mean ovariole number in this subgroup ranges from 43 to 18 per female (1, 34). In contrast, D. erecta and D. sechellia are specialists on Pandanus fruit and the toxic Morinda fruit, respectively (38, 39), and D. sechellia has the lowest reported ovariole number of the group (1). This reduction in ovariole number has been hypothesized to be the result of increased egg size as an adaptation to feeding on the toxic Morinda (40), or to be due to lower insulin signaling levels evolved in response to the relatively constant nutritional input provided by substrate specialization (35). Reviewing data on oviposition behavior in melanogaster subgroup species, Lachaise (37) proposed that the high ovariole number observed in the generalists D. melanogaster and D. simulans may be driven by the frequent oviposition opportunities available to these species, as they oviposit on most decaying fruit. However, the melanogaster subgroup is not well-suited for a broader understanding of ovariole number evolution, as most species share similar oviposition substrates (i.e. rotting fruit) and there are few independent instances of evolution of specialists.

In contrast, Hawai’ian Drosophila have evolved to specialize on a variety of oviposition substrates, including decaying flowers, leaves, fungi, sap fluxes, and bark of native plants, and eggs of native spiders (41). Moreover, these flies exhibit the most extreme interspecies range of ovariole number reported in the genus, ranging from two to 101 per ovary (42). Hawai’ian Drosophila have undergone rapid island radiation from a common ancestor in the last 25 million years, leading to over 1000 extant species (43-45). The high species diversity of Hawai’ian Drosophila is spread across five monophyletic species groups that share genetic, morphological and ecological similarities, and rely on different oviposition substrates (44, 46-48), as follows (Figure 1): Scaptomyza are small species that primarily lay eggs on leaves or flowers. Picture wing (PW) species are larger species with striking pigment patterns on their wings (49). PW species primarily lay eggs on decaying bark or branches of native trees, though some specialize on sap fluxes (41). Modified mouthpart (MM) species, which have male-specific modifications on mouthparts used during mating (50), have the largest range of egg-laying substrates, specializing on decaying leaves, fungi, sap or bark (51). Haleakala species are darkly pigmented flies that only lay eggs on native fungi. Lastly, most antopocerus-modified tarsus-ciliated tarsus (AMC) species are leaf breeders, though there are a few exceptions that have evolved bark-breeding (44).

Figure 1.
  • Download figure
  • Open in new tab
Figure 1. Reproductive and ecological traits of Hawai’ian Drosophila in phylogenetic context

Compiled adult life history traits (greyscale gradients) collected herein and by Kambysellis and Heed (42) are mapped on a phylogeny of Hawai’ian Drosophila constructed from available mitochondrial and nuclear genes. Egg-laying substrate of each species is indicated by colored boxes: bark (brown), generalist (black), sap flux (yellow), leaf (green), fungus (purple), fruit (red), spider eggs (blue), flowers (pink), and unknown (gray). Boxes with solid outlines denote data collected in the present study; boxes with four notches denote data represented in our data and those of Kambysellis and Heed (42); boxes with dotted outline denote data represented only in Kambysellis and Heed (42). Missing boxes indicate data points that were either not previously reported (42) or that we were unable to obtain from field-caught samples. Black lines at right delineate the five major groups of Hawai’ian Drosophila as follows: SCAP =Scaptomyza; PW = picture wing; MM = modified mouthparts; H = Haleakala; AMC = antopocerus-modified tarsus-ciliated tarsus.

Ovariole number is highest in the PW species (up to 202 per female), and lowest in Scaptomyza and AMC species (as few as 2 per female) (42). Dramatic differences in ovariole number between species have been hypothesized to be a result of shifts between their varied oviposition substrates (42, 51). Other studies have posited that the divergent ovariole number observed in Hawai’ian Drosophila may be a result of r-K evolution (42), given the surface area of decaying trees, and the predictability of this substrate in the field (36), is greater than that of other oviposition substrates (51, 52). However, the studies supporting these hypotheses primarily sampled PW species, and used phylogenies that have since been substantially improved upon in more recent studies that include expanded taxon sampling and additional loci (44, 46, 48, 53).

To investigate the linked effects of ecology and development underlying ovariole number evolution in Hawai’ian Drosophila, we conducted phylogenetic comparative analyses of life history traits from 60 species, and comparative development analyses from ten species using both wild-caught flies and laboratory strains. Our results identify potential mechanisms of evolutionary change in ovariole number operating at three levels of biological organization. First, we found that evolutionary shifts in ecological niche could predict the dramatic differences in ovariole number in Hawai’ian Drosophila. Second, whether adult body size was coupled with ovariole number or egg volume differed between species groups with different oviposition substrates, suggesting that the allometric growth relationships between these traits evolves dynamically. Finally, we found that changes in ovariole number from two to 60 per individual can be explained by changes in total TFC number, suggesting that ovariole number diversity evolves through the same developmental mechanism, regardless of the specific ecological constraints or selective pressures.

Results and Discussion

Adult reproductive traits of Hawai‗ian Drosophila

We measured three major adult traits relevant to reproductive capacity (body size, ovariole number and egg volume), from field-collected females, lab-reared F1 offspring of field-collected females, and females from laboratory strains (Figure 1; Table S1). Species identities of field-collected females were assigned based on morphological keys or DNA barcoding (Tables S2, S3). All traits ranged over an order of magnitude within Hawai’ian Drosophila: body size ranged from 0.71mm for S. devexa to 3.12mm for D. melanocephala, ovariole number per female ranged from 2 for S. caliginosa to 88.5 for D. melanocephala, and egg volume ranged from 0.01 um3 for Bunostoma spp. group (S. palmae/S. anomala) to 0.2um3 for D. adunca, highlighting the diversity of life history traits in Hawai’ian Drosophila.

Within the melanogaster subgroup species, species-specific differences in ovariole number are largely heritable (25, 54, 55). To test whether this is also the case in Hawai’ian Drosophila, we compared ovariole number of wild-caught females and their lab-reared F1 offspring, across five species with different egg-laying substrates. We observed no significant differences between the ovariole numbers of these two generations regardless of natural substrate (Figure S1), indicating that species-specific differences in ovariole number are also strongly genetically determined in Hawai’ian Drosophila.

Larval ecology influences ovariole number evolution

A previous study based almost exclusively on picture wing species proposed that evolutionary shifts in larval ecology had driven ovariole number diversification in these flies (51). To test this hypothesis across the major groups of Hawai’ian Drosophila, we compared the fit of evolutionary models of ovariole number that accounted for ecologically driven evolution, to those that did not. Our dataset included both specialist species that oviposit on one of bark, sap flux, leaf, fungus, fruit, flower or spider-eggs, as well as generalist species that oviposit on multiple decaying substrates (Figure S2). We compared the fit of five models to our data, two of which ((i) Brownian Motion, BM, and (ii) an Ornstein Uhlenbeck model with a shared optimum for all species, OU1) do not take into account the oviposition substrate, and three of which were nested ecological models based on alternative methods of substrate classification: (iii) OU2 assumed two states, bark breeders and all other species, to test previous suggestions that bark-breeding may drive evolution of ovariole number (51, 52); (iv) OU3 assumed three states, Scaptomyza specialists on spider eggs and flowers, bark-breeders, and species using any other substrate, to test proposals that substrates influence ovariole number evolution because of their differences in carrying capacity and field predictability (36, 42); and (v) OU8 categorized each oviposition substrate separately. These five models were fit over 100 trees sampled from the posterior distribution of a Bayesian phylogenetic analysis to account for phylogenetic uncertainty.

We found that models accounting for larval ecology explained the ovariole number diversification in Hawai’ian Drosophila (Table 1) better than those that did not. Comparing the three ecological models, we found that the three-state model (OU3), which accounted for both bark breeders and Scaptomyza specialists, was supported as the best-fit model across a majority of trees for ovariole number (ΔAICc > 2 as compared to OU2 and OU8 models; Table S4). Estimated theta values for the OU3 model showed that bark breeders have more ovarioles than species that oviposit on other substrates, suggesting that evolution of higher ovariole numbers accompanied the transition to bark breeding from likely non-bark breeding ancestors (Fig. 2A,B, Table S5), consistent with earlier hypotheses (51, 52). In contrast, Scaptomyza species may have experienced a dramatic decrease in ovariole number as they independently specialized on spider eggs and flowers (Fig. 2B). Taken together, our results suggest that shifts in oviposition substrate may have contributed to the evolution of diverse ovariole numbers in this group, not only for picture wing flies as predicted previously (51), but across the adaptive radiation of Hawai’ian Drosophila.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table 1. Comparison of AICc and weighted AICc values for models testing the relationship between oviposition substrate and ovariole number

Values are for model fit of Brownian motion (BM) and Ornstein-Uhlenbeck with one optimum (OU1) or with multiple optima (OUM) with different combinations of oviposition substrate categories, calculated with the R package OUwie v.1.48 (75). Oviposition substrates were categorized as follows: OU2 categorizes species that lay eggs on bark and non-bark; OU3 categorizes species into bark-breeder, spider egg/flower breeder, and other; and OU8 categorizes each species according to the eight oviposition substrates represented (bark, flower, spider egg, fruit, leaf, generalist, fungus, sap flux). Models were tested over 1000 posterior distribution BEAST trees using nuclear and mitochondrial gene sequences. Bold indicates the best supported model.

Figure 2.
  • Download figure
  • Open in new tab
Figure 2. Different ecological states tested for OU analysis

(A) A two-state model (OU2) of bark-breeders (brown) and non-bark breeders (white). (B) Three-state model (OU3) that codes bark-breeders (brown), spider egg and flower breeders (blue), and other oviposition substrates (white). (C) Eight-state model (OU8) that codes each egg-laying substrate separately, color coded as in Figure 1. Pie charts show the maximum likelihood ancestral state estimates at each node, calculated with the rayDISC function in the R package corHMM, v. 1.18 (74).

In African drosophilids and tephritid Dacus flies, generalist species that oviposit on a variety of egg-laying substrates have higher fecundity than specialists (1, 22, 37). Moreover, specialist species of African and Central American Drosophila species are more fit in the presence of host-specific compounds (40, 56-58), some of which are toxic to other species of Drosophila. For example, D. sechellia is best reared on lab media supplemented with Morinda fruit (40), while D. pachea cannot be reared in laboratory conditions without supplementing media with sterols from its host cactus (59). Egg-laying substrates for Hawai’ian Drosophila have divergent chemical cues and fungal populations (60). Hawai’ian Drosophila often lay few eggs on unsupplemented laboratory food (see Supplemental Information), but do not change ovariole number when reared on this food (Figure S1). We therefore speculate that specific substrate components may not only allow females to distinguish between hosts for oviposition, but also may contribute to species- and substrate-specific egg laying behavior in Hawai’ian Drosophila.

Evolution of specialist habitats changes allometry of reproductive traits

The range of Hawai’ian Drosophila body sizes is greater than that of other members of the genus, spanning an order of magnitude (Table S1). To determine whether changes in allometric growth might underlie reproductive trait evolution, we analyzed the allometric ratio of such traits using a phylogenetic least squares (PGLS) analysis and thorax volume (thorax length3) as a proxy for body size. We found that across all Hawai’ian Drosophila, thorax volume was significantly positively correlated with both ovariole number (Figure 3A; Table 2; Table S6) and egg volume (Figure 3B; Table 2; Table S6).However, individual species groups show differences in trends for allometric ratios of reproductive traits. In PW and MM species, body size is correlated positively with ovariole number (Figure 3A1, A2), but not with egg volume (Figure 3B1, B2). In contrast, AMC and Scaptomyza species have a positive correlation with body size and egg volume (Figure 3B3, B4), but not ovariole number (Figure 3A3, A4). For PW, MM, and AMC, there is a negative correlation between ovariole number and proportional egg size (Table S2; Figure S3B-D), and there is a negative correlation between ovariole number and egg volume in AMC and Scaptomyza (Table 2; Figure S3I-J).

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table 2. Phylogenetic Generalized Least Squares (PGLS) analysis of adult reproductive traits in Hawai’ian Drosophila

PGLS analysis of relationships between ovariole number and thorax volume (mm3), egg volume (μm3) and thorax volume, and ovariole number and proportional egg volume (μm3/mm3) are listed. Regression analyses were performed with the R package nlme v.3.1-121 (76) on 100 trees from a BEAST posterior distribution using nuclear and mitochondrial genes, and the minimum, average, and maximum slope and p-value for the analysis is included in the table. P-values below 0.01 are indicated in bold.

Figure 3.
  • Download figure
  • Open in new tab
Figure 3. Allometric relationship between life history traits in Hawai’ian Drosophila

Scatter plots of log transformed adult measurements with phylogenetically transformed trend lines generated by averaging runs from PGLS analysis across 100 posterior distribution BEAST trees, performed with the R package nlme v.3.1-121 (76). Trend line of the consensus tree is denoted in red when there was a significant relationship between the two traits, and black when PGLS analysis did not support a significant relationship (Table 2). (A, A1-A4) Ovariole number plotted against thorax volume (mm3) in (A) all specimens, (A1) PW, (A2) MM, (A3) AMC, and (A4) Scaptomyza. (B, B1-B4) Egg volume (μm3) plotted against thorax volume (mm3) in (B) all specimens, (B1) PW, (B2) MM, (B3) AMC, and (B4) Scaptomyza.

We note that these trends are associated with differences in life history strategies between groups. PW and MM group species, in which ovariole number increases with increasing body size (Figure 3A1, A2), lay eggs in abundant and varied substrates (41): PW are primarily bark breeders that oviposit eggs in clutches of up to 100 eggs (42), and MM group species can occupy a wide range of oviposition preferences, including bark, leaf, fruit, fungus, and sap flux (41). In contrast, species of AMC and Scaptomyza, in which ovariole number and body size are decoupled (Figure 3A3, A4), have independently evolved use of substrates with low carrying capacity: AMC group species are primarily leaf breeders, reproducing on damp leaves in the forest bed, while the oviposition substrates of Scaptomyza species include ephemeral substrates, such as flowers, spider eggs and fresh leaves, many of which are not occupied by other Hawai’ian Drosophila species groups (41). In sum, while a positive correlation between body size and fecundity is commonly posited in egg-laying animals (11, 13), we did not find universal support for this trend across Hawai’ian Drosophila. This is, however, consistent with previous studies on Diptera, wherein trends toward higher fecundity or ovariole number in larger animals observed within species (11) contrast with between-species differences in ovariole number that do not always correlate with body size (22, 37, 61).

Larval ovary somatic cell number determines ovariole number

We previously identified two developmental mechanisms that can alter ovariole number during development: changes in TFC number per TF and change in total TFC number (29). To determine whether the same developmental mechanisms that regulate ovariole number in laboratory populations, also underlie the evolution of ovariole number in natural populations, we measured TF and TFC numbers in the developing larval ovaries of Hawai’ian Drosophila. Our analysis of 12 species representing four of the major Hawai’ian Drosophila species groups showed that even over a range of ovariole numbers spanning an order of magnitude (Figure 4; Table S7), larval TF number essentially corresponded to adult ovariole number (Table S8). Although TFC number per TF varied somewhat between species (Figure 4A; Table S7), PGLS analysis showed no correlation between TFC number per TF and total TF number (Table 3). In contrast, average total TFC number was strongly positively correlated with TF number (Table 3; Figure 4B; Table S7), suggesting that, as in laboratory populations of D. melanogaster, changes in TFC number underlie ovariole number evolution in Hawai’ian Drosophila.

Figure 4.
  • Download figure
  • Open in new tab
Figure 4. Terminal filament cell (TFC) number predicts terminal filament (TF) number in Hawai’ian Drosophilids

(A-C) Bar graphs for (A) TFC number per TF, (B) total TFC number, and (C) TF number per larval ovary representing the mean and standard deviation, as well as the phylogenetic relationship between the species shown (bottom). (D-F) Late third instar larval ovaries stained for nuclei (purple) and F-actin (green) for (D) S. caliginosa (flower breeder), (E) D. silvestris (bark breeder), (G) D. mitchelli (egg-laying substrate unknown), and (F) D. tanythrix (leaf breeder). Numbers in parentheses beside species names indicate mean ovariole number per ovary (Tables S7, S8). White arrowheads indicate TF structures in the ovary.

View this table:
  • View inline
  • View popup
  • Download powerpoint
Table 3. Phylogenetic Generalized Least Squares (PGLS) analysis of larval ovarian measurements in Hawai’ian Drosophila

Relationships between TF number and TFC number per TF, TF number and total TFC number, and total TFC number and TFC number per TF are listed. Regression analyses were performed with the R package nlme v.3.1-121 (76) on 100 trees from a BEAST posterior distribution using nuclear and mitochondrial genes, and the minimum, average, and maximum slope and p-value for the analysis is included in the table. P-values below 0.01 are indicated in bold.

The developmental mechanism underlying ovariole number evolution is particularly interesting in light of the allometric changes in Hawai’ian Drosophila species groups. There has been some debate as to whether allometry constrains or facilitates adaptive evolution (62-64). In Hawai’ian Drosophila, the allometric relationship between two important female reproductive traits, ovariole number and egg size, was coupled to body size in different groups in different ways: when ovariole number was coupled with body size, egg size was not, and vice versa (Figure 3). These trends were associated with abundant versus scarce egg-laying substrates respectively (Figure 1). While the phenotypic integration of ovariole number and egg volume appears tightly regulated across insects (65), the coupling of ovariole number to body size appears more flexible in Hawai’ian Drosophila, suggesting that in this context, heritable changes in allometry may contribute to adaptive evolution.

Ovariole number is regulated by both by intrinsic and extrinsic growth factors, including Hippo signaling, ecdysone and insulin-like peptides, all of which can also regulate body size (26, 35, 66-68). Thus, we propose that the mechanistic basis for evolutionary change of ovariole number on different substrates, may be changes in the relative influence of nutritionally regulated circulating growth factors on the one hand, and cell-autonomous growth on the other hand, on ovarian development during larval and pupal stages. For example, we speculate that on certain substrates, the larval ovary may become less sensitive to nutritionally-mediated growth factors by evolving lower expression levels of growth factor receptors, and relying more on tissue-specific growth factors, which could include local insulin release or cell proliferation pathways such as Hippo signaling.

Taken together, we found that highly divergent ovariole number, and by proxy female reproductive capacity, have evolved together with changes in egg-laying substrate across Hawai’ian Drosophila. Moreover, this remarkable adaptive radiation is linked to evolutionary changes in a key reproductive trait that is regulated by variation in the same developmental mechanisms operating in the model species D. melanogaster.

Materials and Methods

Hawai’ian Drosophila were collected (69) at the Koke’e State Park and Kui’a NAR on Kauai, West Maui Watershed Reserve, Makawao Forest Reserve, and Waikamoi Nature Preserve on Maui, and the Volcanoes National Park and Upper Waiakea Forest Reserve on Hawai’i island. Field-caught flies were brought back to the lab for species identification and phenotyping of adult and larval characters. Measurements of adult ovariole number, larval TF and TFC number were performed as previously described (29). Mature egg size and adult body size were quantified from white light micrographs of eggs and adult thoraces using ImageJ. See Supplementary Information for detailed methods.

We combined sequence data for 18 genes reported in four previous studies (44, 46, 48, 53) from GenBank with additional newly identified mitochondrial sequences (Table S9), and used the concatenated sequences to generate trees in RAxML v8.2.3 (70). Phylogenetic relationships and divergence time estimates were inferred in a Bayesian framework in BEAST v. 2.3.2 (71, 72). All phylogenetic comparative analyses and corresponding figures were computed in R version 3.2.0 (73).

We used reported ecological information about Hawai’ian Drosophila to code oviposition site (41), calculated ancestral states for each of these character codings with BEAST using the rayDISC function in the R package corHMM, v.1.18 (74), mapped the most likely ecological state at each node, and pruned the resulting tree to include only tips with ovariole number data. The fit of different models of trait evolution was assessed on the pruned trees in OUwie v. 1.48 (75). See Supplementary Information for detailed methods and custom scripts.

Acknowledgements

This work was supported by National Institutes of Health grant number 1R01 HD073499 to CGE; National Science Foundation (NSF) Doctoral Dissertation Improvement Grant number DEB-1209570, a post-graduate scholarship from the Natural Sciences and Engineering Research Council of Canada (NSERC) and a pre-doctoral fellowship from the Fonds de recherché du Québec— Santé (FRQS) to DPS; NSF Graduate Training Fellowship to SHC; and NSF Postdoctoral Research Fellowship in Biology Grant number 1523880 to LPL.

References

  1. 1.↵
    R’kha S, Moreteau B, Coyne JA, & David JR (1997) Evolution of a lesser fitness trait: egg production in the specialist Drosophila sechellia. Genetical research 69:17–23.
    OpenUrlCrossRefPubMedWeb of Science
  2. 2.↵
    McNab BK & Ellis HI (2006) Flightless rails endemic to islands have lower energy expenditures and clutch sizes than flighted rails on islands and continents. Comp Biochem Phys A 145(3):295–311.
    OpenUrl
  3. 3.↵
    Czesak ME & Fox CW (2003) Evolutionary ecology of egg size and number in a seed beetle: Genetic trade-off differs between environments. Evolution 57(5):1121–1132.
    OpenUrlCrossRefPubMedWeb of Science
  4. 4.
    Garcia-Barros E (2000) Body size, egg size, and their interspecific relationships with ecological and life history traits in butterflies (Lepidoptera : Papilionoidea, Hesperioidea). Biol. J. Linn. Soc. 70(2):251–284.
    OpenUrlCrossRefWeb of Science
  5. 5.
    Martin TE, et al. (2006) Life-history and ecological correlates of geographic variation in egg and clutch mass among passerine species. Evolution 60(2):390–398.
    OpenUrlCrossRefPubMedWeb of Science
  6. 6.
    Blackburn TM (1991) An Interspecific Relationship between Egg Size and Clutch Size in Birds. Auk 108(4):973–977.
    OpenUrl
  7. 7.
    Sinervo B & DeNardo DF (1996) Costs of Reproduction in the Wild: Path Analysis of Natural Selection and Experimental Tests of Causation. Evolution 50(3):1299–1313.
    OpenUrlCrossRefWeb of Science
  8. 8.
    Liao WB, Lu X, & Jehle R (2014) Altitudinal variation in maternal investment and trade-offs between egg size and clutch size in the Andrew’s toad. Journal of Zoology 293(2):84–91.
    OpenUrl
  9. 9.
    Partridge L & Gems D (2006) Beyond the evolutionary theory of ageing, from functional genomics to evo-gero. Trends Ecol Evol 21(6):334–340.
    OpenUrlCrossRefPubMedWeb of Science
  10. 10.↵
    Edward DA & Chapman T (2011) Mechanisms underlying reproductive trade-offs: Costs of reproduction. Mechanisms of Life History Evolution: The Genetics and Physiology of Life History Traits and Trade-Offs:137–152.
  11. 11.↵
    Honek A (1993) Intraspecific Variation in Body Size and Fecundity in Insects - a General Relationship. OIKOS 66(3):483–492.
    OpenUrlCrossRefWeb of Science
  12. 12.
    Blueweiss L, et al. (1978) Relationships between Body Size and Some Life-History Parameters. Oecologia 37(2):257–272.
    OpenUrlCrossRefPubMedWeb of Science
  13. 13.↵
    Monroe MJ, South SH, & Alonzo SH (2015) The evolution of fecundity is associated with female body size but not female-biased sexual size dimorphism among frogs. J. Evol. Biol. 28(10):1793–1803.
    OpenUrl
  14. 14.↵
    Martin TE, Martin PR, Olson CR, Heidinger BJ, & Fontaine JJ (2000) Parental care and clutch sizes in North and South American birds. Science 287(5457):1482–1485.
    OpenUrlAbstract/FREE Full Text
  15. 15.↵
    Schaffer WM (1974) Optimal Reproductive Effort in Fluctuating Environments. Am. Nat. 108(964):783–790.
    OpenUrlCrossRefWeb of Science
  16. 16.↵
    Meier R, Kotrba M, & Ferrar P (1999) Ovoviviparity and viviparity in the Diptera. Biol. Rev. 74(3):199–258.
    OpenUrlCrossRef
  17. 17.↵
    Stearns SC (1989) Trade-Offs in Life-History Evolution. Funct. Ecol. 3(3):259–268.
    OpenUrlCrossRef
  18. 18.↵
    David JR (1970) Le nombre d’ovarioles chez Drosophila melanogaster: relation avec la fécondité et valeur adaptive. Archives de Zoologie Expérimentale et Générale 111:357–370.
    OpenUrl
  19. 19.
    Klepsatel P, et al. (2013) Reproductive and post-reproductive life history of wild-caught Drosophila melanogaster under laboratory conditions. J. Evol. Biol. 26(7):1508–1520.
    OpenUrlCrossRefPubMed
  20. 20.↵
    King RC (1970) Ovarian Development in Drosophila melanogaster (Academic Press, New York) p 227.
  21. 21.↵
    Faille A & Pluot-Sigwalt D (2015) Convergent Reduction of Ovariole Number Associated with Subterranean Life in Beetles. PLoS ONE 10(7):e0131986.
    OpenUrl
  22. 22.↵
    Fitt GP (1990) Comparative fecundity, clutch size, ovariole number and egg size of Dacus tyroni and D. jarvisi, and their relationship to body size. Entomologia Experimentalis et Applicata 55:11–21.
    OpenUrl
  23. 23.↵
    Wellings PW, Leather SR, & Dixon AFG (1980) Seasonal-Variation in Reproductive Potential - a Programmed Feature of Aphid Life-Cycles. J Anim Ecol 49(3):975–985.
    OpenUrl
  24. 24.↵
    Taylor BJ & Whitman DW (2010) A test of three hypotheses for ovariole number determination in the grasshopper Romalea microptera. Physiol Entomol 35(3):214–221.
    OpenUrlCrossRef
  25. 25.↵
    Orgogozo V, Broman KW, & Stern DL (2006) High-resolution quantitative trait locus mapping reveals sign epistasis controlling ovariole number between two Drosophila species. Genetics 173(1):197–205.
    OpenUrlAbstract/FREE Full Text
  26. 26.↵
    Sarikaya DP & Extavour CG (2015) The Hippo pathway regulates homeostatic growth of stem cell niche precursors in the Drosophila ovary. PLoS Genetics 11(2):e1004962.
    OpenUrl
  27. 27.↵
    Branquart E & Hemptinne JL (2000) Development of ovaries, allometry of reproductive traits and fecundity of Episyrphus balteatus (Diptera : Syrphidae). Eur J Entomol 97(2):165–170.
    OpenUrl
  28. 28.↵
    Grenier AM & Nardon P (1994) The Genetic-Control of Ovariole Number in Sitophilus-Oryzae L (Coleoptera, Curculionidae) Is Temperature-Sensitive. Genet. Sel. Evol. 26(5):413–430.
    OpenUrlCrossRef
  29. 29.↵
    Sarikaya DP, et al. (2012) The roles of cell size and cell number in determining ovariole number in Drosophila. Dev. Biol. 363:279–289
    OpenUrlCrossRefPubMed
  30. 30.↵
    Sahut-Barnola I, Godt D, Laski FA, & Couderc J-L (1995) Drosophila Ovary Morphogenesis: Analysis of Terminal Filament Formation and Identification of a Gene Required for This Process. Dev. Biol. 170(1):127–135.
    OpenUrlCrossRefPubMedWeb of Science
  31. 31.
    Godt D & Laski FA (1995) Mechanisms of cell rearrangement and cell recruitment in Drosophila ovary morphogenesis and the requirement of bric à brac. Development 121:173–187.
    OpenUrlAbstract
  32. 32.
    Green II DA, Sarikaya DP, & Extavour CG (2011) Counting in oogenesis. Cell Tissue Res. 344(2):207–212.
    OpenUrlPubMed
  33. 33.↵
    Hodin J & Riddiford LM (1998) The ecdysone receptor and ultraspiracle regulate the timing and progression of ovarian morphogenesis during Drosophila metamorphosis. Dev. Genes Evol. 208(6):304–317.
    OpenUrlCrossRefPubMedWeb of Science
  34. 34.↵
    Markow TA & O’Grady PM (2007) Drosophila biology in the genomic age. Genetics 177(3):1269–1276.
    OpenUrlAbstract/FREE Full Text
  35. 35.↵
    Green II DA & Extavour CG (2014) Insulin Signaling Underlies Both Plasticity and Divergence of a Reproductive Trait in Drosophila. Proc. R. Soc. Lond. B. Biol. Sci. 281(1779):20132673.
    OpenUrlCrossRefPubMed
  36. 36.↵
    Montague JR, Mangan RL, & Starmer WT (1981) Reproductive Allocation in the Hawaiian Drosophilidae - Egg Size and Number. American Naturalist 118(6):865–871.
    OpenUrlCrossRefWeb of Science
  37. 37.↵
    Lachaise D (1983) Reproductive Allocation in Tropical Drosophilidae - Further Evidence on the Role of Breeding-Site Choice. Am. Nat. 122(1):132–146.
    OpenUrlCrossRef
  38. 38.↵
    Tsacas L & Bächli G (1981) Drosophila sechellia, n.sp., huitieme espece du sous-goupe melanogaster des Iles Sechelles [Diptera, Drosophilidae]. Revue Francaise d’Entomologie 3(4):146–150.
    OpenUrl
  39. 39.↵
    Rio B, Couturier G, Lemeunier F, & Lachaise D (1983) Evolution d’une specialisation saisonniere chez Drosophila erecta (Dipt., Drosophilidae). Annales de la Société Entomologique de France 19:235–248.
    OpenUrl
  40. 40.↵
    Lavista-Llanos S, et al. (2014) Dopamine drives Drosophila sechellia adaptation to its toxic host. eLife 3:e03785.
    OpenUrlCrossRef
  41. 41.↵
    Magnacca K, Foote D, & O’Grady PM (2008) A review of the endemic Hawaiian Drosophilidae and their host plants. Zootaxa 1728:1–58.
    OpenUrl
  42. 42.↵
    Kambysellis MP & Heed WB (1971) Studies of Oogenesis in Natural Populations of Drosophilidae. I. Relation of ovarian development and ecological habitats of the hawaiian species. Am. Nat. 941(105):31–49.
    OpenUrl
  43. 43.↵
    O’Grady P & DeSalle R (2018) Hawaiian Drosophila as an Evolutionary Model Clade: Days of Future Past. BioEssays 40(5):e1700246.
    OpenUrl
  44. 44.↵
    O’Grady PM, et al. (2011) Phylogenetic and ecological relationships of the Hawaiian Drosophila inferred by mitochondrial DNA analysis. Mol Phylogenet Evol 58(2):244–256.
    OpenUrlCrossRefPubMed
  45. 45.↵
    Tamura K, Subramanian S, & Kumar S (2004) Temporal patterns of fruit fly (Drosophila) evolution revealed by mutation clocks. Mol. Biol. Evol. 21(1):36–44.
    OpenUrlCrossRefPubMedWeb of Science
  46. 46.↵
    Lapoint RT, O’Grady PM, & Whiteman NK (2013) Diversification and dispersal of the Hawaiian Drosophilidae: the evolution of Scaptomyza. Mol Phylogenet Evol 69(1):95–108.
    OpenUrlCrossRefPubMed
  47. 47.
    Lapoint RT, Gidaya A, & O’Grady PM (2011) Phylogenetic relationships in the spoon tarsus subgroup of Hawaiian Drosophila: conflict and concordance between gene trees. Mol Phylogenet Evol 58(3):492–501.
    OpenUrlCrossRefPubMed
  48. 48.↵
    Magnacca KN & Price DK (2015) Rapid adaptive radiation and host plant conservation in the Hawaiian picture wing Drosophila (Diptera: Drosophilidae). Mol. Phylogenet. Evol. 92:226–242.
    OpenUrlCrossRefPubMed
  49. 49.↵
    Edwards KA, Doescher LT, Kaneshiro KY, & Yamamoto D (2007) A database of wing diversity in the Hawaiian Drosophila. PLoS ONE 2(5):e487.
    OpenUrlCrossRefPubMed
  50. 50.↵
    Magnacca KN & O’Grady PM (2006) A Subgroup Structure for the Modified Mouthparts Species Group of Hawaiian Drosophila. Proceedings Of The Hawaiian Entomological Society 38:87–101.
    OpenUrl
  51. 51.↵
    Kambysellis MP, et al. (1995) Pattern of ecological shifts in the diversification of Hawaiian Drosophila inferred from a molecular phylogeny. Curr. Biol. 5(10):1129–1139.
    OpenUrlCrossRefPubMedWeb of Science
  52. 52.↵
    Craddock EM & Kambysellis MP (1997) Adaptive Radiation in the Hawaiian Drosophila (Diptera: Drosophilidae): Ecological and Reproductive Character Analyses. Pacific Science 51(4):475–489.
    OpenUrl
  53. 53.↵
    Lapoint RT, Magnacca KM, & O’Grady PM (2014) Phylogenetics of the Antopocerus-Modified Tarsus Clade of Hawaiian Drosophila: Diversification across the Hawaiian Islands. PLoS ONE 9(11):e113227.
    OpenUrlCrossRefPubMed
  54. 54.↵
    Wayne ML, et al. (2001) Quantitative trait locus mapping of fitness-related traits in Drosophila melanogaster. Genetical research 77(1):107–116.
    OpenUrlCrossRefPubMedWeb of Science
  55. 55.↵
    Bergland AO, Genissel A, Nuzhdin SV, & Tatar M (2008) Quantitative trait loci affecting phenotypic plasticity and the allometric relationship of ovariole number and thorax length in Drosophila melanogaster. Genetics 180(1):567–582.
    OpenUrlAbstract/FREE Full Text
  56. 56.↵
    Peluso D, Soto EM, Kreiman L, Hasson E, & Mensch J (2016) Contrasting Plasticity in Ovariole Number Induced by A Dietary Effect of the Host Plants between Cactophilic Drosophila Species. Insects 7(2).
  57. 57.
    Lang M, et al. (2012) Mutations in the neverland Gene Turned Drosophila pachea into an Obligate Specialist Species. Science 337(6102):1658–1661.
    OpenUrlAbstract/FREE Full Text
  58. 58.↵
    Matzkin LM, Johnson S, Paight C, Bozinovic G, & Markow TA (2011) Dietary Protein and Sugar Differentially Affect Development and Metabolic Pools in Ecologically Diverse Drosophila. J. Nutr. 141(6):1127–1133.
    OpenUrlAbstract/FREE Full Text
  59. 59.↵
    Heed WB & Kircher HW (1965) Unique Sterol in Ecology and Nutrition of Drosophila Pachea. Science 149(3685):758-&.
    OpenUrl
  60. 60.↵
    Ort BS, Bantay RM, Pantoja NA, & O’Grady PM (2012) Fungal Diversity Associated with Hawaiian Drosophila Host Plants. PLoS ONE 7(7):e40550.
    OpenUrlPubMed
  61. 61.↵
    Soto IM, et al. (2014) Differences in tolerance to host cactus alkaloids in Drosophila koepferae and D. buzzatii. PLoS ONE 9(2):e88370.
    OpenUrl
  62. 62.↵
    Smith JM, et al. (1985) Developmental Constraints and Evolution. Q. Rev. Biol. 60(3):265–287.
    OpenUrlCrossRefWeb of Science
  63. 63.
    1. Jungers WJ
    Lande R (1985) Genetic and Evolutionary Aspects of Allometry. Size and Scaling in Primate Biolgy, Advances in Primatology, ed Jungers WJ (Plenum Press, New York), pp 21–32.
  64. 64.↵
    Bonduriansky R (2007) Sexual selection and allometry: a critical reappraisal of the evidence and ideas. Evolution 61(4):838–849.
    OpenUrlCrossRefPubMedWeb of Science
  65. 65.↵
    Berrigan D (1991) The allometry of egg size and number in insects. OIKOS 60:313–321.
    OpenUrlCrossRefWeb of Science
  66. 66.↵
    Hodin J & Riddiford LM (2000) Parallel alterations in the timing of ovarian ecdysone receptor and ultraspiracle expression characterize the independent evolution of larval reproduction in two species of gall midges (Diptera: Cecidomyiidae). Dev. Genes Evol. 210(7):358–372.
    OpenUrlCrossRefPubMedWeb of Science
  67. 67.
    Gancz D, Lengil T, & Gilboa L (2011) Coordinated regulation of niche and stem cell precursors by hormonal signaling. PLoS Biol. 9(11):e1001202.
    OpenUrlCrossRefPubMed
  68. 68.↵
    Gancz D & Gilboa L (2013) Insulin and Target of rapamycin signaling orchestrate the development of ovarian niche-stem cell units in Drosophila. Development 140(20):4145–4154.
    OpenUrlAbstract/FREE Full Text
  69. 69.↵
    Markow TA & O’Grady PM (2006) Chapter 4 - Collecting Drosophila in the wild. Drosophila: A Guide to Species Identificaton and Use, (Academic Press), pp 145–153.
  70. 70.↵
    Stamatakis A (2006) RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22(21):2688–2690.
    OpenUrlCrossRefPubMedWeb of Science
  71. 71.↵
    Bouckaert R, et al. (2014) BEAST 2: A Software Platform for Bayesian Evolutionary Analysis. Plos Computational Biology 10(4).
  72. 72.↵
    Drummond AJ & Rambaut A (2007) BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol. Biol. 7.
  73. 73.↵
    Team RC (2015) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
  74. 74.↵
    Beaulieu JM, Oliver JC, & O’Meara B (2012) corHMM: Hidden Markov Models in R, Version 1.0.
  75. 75.↵
    Beaulieu JM & O’Meara B (2014) OUwie: Analysis of Evolutionary Rates in an OU Framework. R package version 1.
  76. 76.↵
    Pinheiro J, Bates D, DebRoy S, Sarkar D, & Team RC (2014) Nlme: Linear and Nonlinear Mixed Effects Models. R Package Version 3.1-117 https://CRAN.R-project.org/package=nlme.
Back to top
PreviousNext
Posted November 16, 2018.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Reproductive capacity evolves in response to ecology through common developmental mechanisms in Hawai’ian Drosophila
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Reproductive capacity evolves in response to ecology through common developmental mechanisms in Hawai’ian Drosophila
Didem P. Sarikaya, Samuel H. Church, Laura P. Lagomarsino, Karl N. Magnacca, Steven Montgomery, Donald K. Price, Kenneth Y. Kaneshiro, Cassandra G. Extavour
bioRxiv 470898; doi: https://doi.org/10.1101/470898
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Reproductive capacity evolves in response to ecology through common developmental mechanisms in Hawai’ian Drosophila
Didem P. Sarikaya, Samuel H. Church, Laura P. Lagomarsino, Karl N. Magnacca, Steven Montgomery, Donald K. Price, Kenneth Y. Kaneshiro, Cassandra G. Extavour
bioRxiv 470898; doi: https://doi.org/10.1101/470898

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (3480)
  • Biochemistry (7327)
  • Bioengineering (5299)
  • Bioinformatics (20206)
  • Biophysics (9983)
  • Cancer Biology (7705)
  • Cell Biology (11261)
  • Clinical Trials (138)
  • Developmental Biology (6425)
  • Ecology (9919)
  • Epidemiology (2065)
  • Evolutionary Biology (13288)
  • Genetics (9353)
  • Genomics (12558)
  • Immunology (7679)
  • Microbiology (18962)
  • Molecular Biology (7420)
  • Neuroscience (40904)
  • Paleontology (298)
  • Pathology (1226)
  • Pharmacology and Toxicology (2127)
  • Physiology (3141)
  • Plant Biology (6839)
  • Scientific Communication and Education (1270)
  • Synthetic Biology (1893)
  • Systems Biology (5299)
  • Zoology (1086)