Bayesian hierarchical models suggest oldest known plant-visiting bat was omnivorous
Abstract
The earliest record of plant visiting in bats dates to the Middle Miocene of La Venta, the world's most diverse tropical palaeocommunity. Palynephyllum antimaster is known from molars that indicate nectarivory. Skull length, an important indicator of key traits such as body size, bite force and trophic specialization, remains unknown. We developed Bayesian models to infer skull length based on dental measurements. These models account for variation within and between species, variation between clades, and phylogenetic error structure. Models relating skull length to trophic level for nectarivorous bats were then used to infer the diet of the fossil. The skull length estimate for Palynephyllum places it among the larger lonchophylline bats. The inferred diet suggests Palynephyllum fed on nectar and insects, similar to its living relatives. Omnivory has persisted since the mid-Miocene. This is the first study to corroborate with fossil data that highly specialized nectarivory in bats requires an omnivorous transition.
1. Introduction
Mammals have evolved complex dentition that enables both shearing and grinding occlusion, and these features are key traits in mammalian diversification [1]. The evolution of cusp morphology in response to feeding ecology makes mammalian molars indicators of diet [2,3]. Teeth are so abundant in the fossil record that a substantial portion of extinct mammals are known only from their molars [4]. One mammalian molar can provide enough characters to infer both the phylogeny and diet of the species it represents [5,6].
The oldest known plant-visiting fossil bat, Palynephyllum antimaster (Chiroptera: Phyllostomidae), is represented by two molars from the Miocene of La Venta, Colombia [7]. Similar to those of extant nectarivorous phyllostomids, these molars are narrow, and their cusps are reduced lingually and flattened labially [1,8]. The two primarily nectarivorous phyllostomid subfamilies, Glossophaginae and Lonchophyllinae, share adaptations for acquiring nectar including an elongated rostrum and palate, reduced dentition and elongated tongues [8–10]. These phyllostomids compose a phenotypic optimum that prevents eating hard foods such as beetles or figs [11–13]. Behavioural and dietary analyses show these bats vary in nectar specialization. The generalist Glossophaga soricina actively seeks both flower resources and insects [14], while the specialized Leptonycteris yerbabuenae primarily feeds on nectar from columnar cacti and insects are a minor and coincidental component of its diet [15].
The nectarivorous morphology shared by extant bats obscures other aspects of the evolution from ancestral insectivory [16]. Switching diets from protein-rich insects to carbohydrate-rich nectar requires adaptations in sugar metabolism and kidney function, as well as body-size-dependent strategies for finding enough nectar [17,18]. Several studies have proposed the evolution of diet specialization requires a transition through omnivory [19,20], and we hypothesize that early nectarivores fed on both nectar and insects. Inferring proxies for the body size and dietary composition of Palynephyllum can thus illuminate key aspects of the evolutionary transition to a specialized nectar diet.
We developed models to estimate the skull length of Palynephyllum, which we then used to infer the trophic level of the fossil. Our analyses take advantage of the flexibility of Bayesian methods to simultaneously model variation among individuals, between species and among clades [21].
2. Material and methods
(a) Estimating skull length
We measured tooth length (M2L) and tooth width (M2W) of the complete second upper molar (M2) of Palynephyllum and 31 nectarivorous phyllostomid bat species (25 Glossophaginae; 6 Lonchophyllinae), and the greatest length of skull (GLS) for extant taxa (electronic supplementary material, figure S1). Multiple individuals were measured and measurements were averaged for most species (electronic supplementary material, table S1). All data were log-transformed.
To estimate GLS, we used the mean M2L and M2W of nectarivorous species as covariates in four regression models. The first model fits a single intercept (α) and slope (β) for all the data. The second estimates a single intercept allowing slopes to differ (βj), where j is either the subfamily Glossophaginae or Lonchophyllinae. The third allows the intercepts (αj) to vary by subfamily and fits a single slope. The fourth allows both slopes and intercepts to differ for subfamilies.
Hierarchical Bayesian models have several advantages compared with standard regressions. First, different sources of error are estimated separately (summarized as ε in table 1). The model accounts for within-species error, error of residual estimation and variation among different subfamilies. Second, the posterior distribution of each parameter can be sampled to estimate the GLS of Palynephyllum. Third, by including the variance–covariance matrix from a published phylogeny of Phyllostomidae that unambiguously resolves Palynephyllum as a lonchophylline [5,22], we could account for the phylogenetic structure of the covariates (Σ). Few recent studies have implemented phylogenetic Bayesian regressions [21,23]. Here we extend this approach to include both individual and subfamily variation.
formula | parameter | mean (95% HPD) |
---|---|---|
α | 2.94 (2.86, 3.03) | |
β1 | 1.01 (0.64, 1.37) | |
β2 | −0.43 (−0.64, −0.21) | |
τind | 401.94 (75.03, 1602) | |
median (GLS) | 25.63 (22.19, 29.42) | |
αGloss | −0.046 (−0.42, 0.19) | |
αLonch | −0.006 (−0.37, 0.24) | |
β | −0.093 (−0.17, 0.03) | |
τind | 74.76 (31.41, 160.34) | |
τsubfamily | 352.84 (1.55, 1861.6) | |
median (trophic) | −0.317 (−0.64, 0.01) |
The fit of models to observations was compared using posterior predictive checks. Models were selected to minimize differences between predicted and observed data. The posterior distribution of parameters for the best-fit model and the M2L and M2W measurements of Palynephyllum were used to estimate GLS for this fossil. We tested differences between predicted and observed posterior distributions.
(b) Estimating palaeodiet
A similar modelling approach was used to infer trophic level from the estimated Palynephyllum GLS. We used new and published GLS measurements to fit four phylogenetic regressions to infer trophic level (electronic supplementary material, table S2). The continuous value for trophic level is a quantitative summary of the dietary niche of the species. Values close to zero correspond to omnivorous diets. Highly specialized plant-visiting bats have more negative values, while highly animalivorous bats have more positive values. The trophic level of Palynephyllum was estimated by sampling the parameters of the best-fit model. The supplementary methods describe model implementation and validation in detail.
3. Results
The Bayesian hierarchical models show craniodental allometry is similar in the two subfamilies (table 1; electronic supplementary material, figures S2 and S3) [24]. Including phylogenetic relatedness improved GLS model fit (electronic supplementary material, tables S3 and S4). GLS estimates of Palynephyllum from models that account for relatedness have narrower credible intervals than models that do not. The inferred Palynephyllum skull length (approx. 26 mm) places this bat among the larger lonchophyllines (figure 1).
The best-fit model of trophic level had a single slope and different intercepts for the two subfamilies (electronic supplementary material, figure S4). The baseline trophic level was distinctly more omnivorous for lonchophyllines than for glossophagines, as indicated by the higher intercept (median αGloss−0.046; αLonch−0.006). The slope coefficient suggested a negative relationship for both groups between trophic position and GLS; however, the slope posterior distribution included zero (table 1). The trophic level inferred for the fossil (approx. −0.32) suggests Palynephyllum included insects and fruit in its diet. Given the fair predictive power of the model (electronic supplementary material, figure S5), exclusive nectarivory can be rejected (figure 2).
4. Discussion
Similar to robust extant lonchophyllines known for their strong bites relative to specialized nectarivores [25], the diet of the oldest known nectarivorous bat fossil probably included insects, fruit and nectar. This is also consistent with dental similarities between Palynephyllum and the known omnivore Hylonycteris [17]. Modest molar crests are present in other nectarivorous bats that feed on insects [6,7]. The models suggest the ecological niche for this large, omnivorous nectarivore has persisted since at least the mid-Miocene.
The La Venta fauna of Colombia (11.6–13.5 Ma) is one of the most diverse Cenozoic vertebrate fossil biotas [6]. Eight animalivorous bat species have been discovered [7], implying a diversity of dietary niches were already exploited. Phylogenies show some level of nectarivory evolved before dedicated frugivory [12]. How insectivorous bats first included nectar in their diets remains poorly understood. An abrupt transition to nectar feeding is unlikely because high metabolic rates require adaptations beyond nectar acquisition [26,27]. Nectarivores survive at the upper limit of the mammalian energy budget, with physiological adaptations that allow them to rapidly convert sugar into energy [28,29]. A mixed diet of nectar and insects, as inferred for Palynephyllum, mitigates the dramatic shift in metabolic rates and corroborates previous hypotheses of an omnivorous transition prior to nectar specialization [19,20]. By inferring the skull length and trophic level for Palynephyllum, we introduce, we believe, the first fossil evidence supporting this prediction.
Data accessibility
Data, R code for models and figures are available on Dryad (http://dx.doi.org/10.5061/dryad.1168f).
Authors' contributions
L.R.Y. developed all models. L.M.D. and L.R.Y. designed the study. P.M.V., N.B.S. and B.E.G. collected data. D.R. contributed trophic data. L.R.Y., D.R. and L.M.D. wrote the manuscript and all authors contributed to revisions. All authors interpreted data.
Competing interests
We declare we have no competing interests.
Funding
L.R.Y. by NSF GRFP; D.R. by FCT, Portugal (www.fct.pt), SFRH/BPD/97707/2013; L.M.D. by NSF-DEB-0949759 and NSF-DEB-1442142; N.B.S. by NSF-DEB-0949859.
Acknowledgements
We thank Nick Czaplewski, for the image of the fossil. We thank Angelique Corthals, Nick Holowka, Kristjan Mets and Ben Weinstein for comments. Thanks to Heather Lynch for guidance.