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Artificial selection for predatory behavior results in dietary niche differentiation in an omnivorous mammal

Citation

Hämäläinen, Anni et al. (2022), Artificial selection for predatory behavior results in dietary niche differentiation in an omnivorous mammal, Dryad, Dataset, https://doi.org/10.5061/dryad.3tx95x6hq

Abstract

The diet of an individual is a result of the availability of dietary items and the individual's foraging skills and preferences. Behavioral differences may thus influence diet variation, but the evolvability of diet choice through behavioral evolution has not been studied. We used experimental evolution combined with a field enclosure experiment to test whether behavioral selection leads to dietary divergence. We analysed the individual dietary niche via stable isotope ratios of nitrogen (δ15N) and carbon (δ13C) in the hair of an omnivorous mammal, bank vole, from 4 lines selected for predatory behavior and 4 unselected control lines. Predatory voles had higher hair δ15N values than control voles, supporting our hypothesis that predatory voles would consume a higher trophic level diet (more animal vs. plant foods). This difference was significant in the early but not the late summer season. The δ13C values also indicated a seasonal change in the consumed plant matter and a difference in food sources among selection lines in the early summer. These results imply that environmental factors interact with evolved behavioral tendencies to determine dietary niche heterogeneity. Behavioral selection thus has potential to contribute to the evolution of diet choice and ultimately the species' ecological niche breadth.

Methods

Please refer to the methods description in the paper (RSPB-2021-2510, Artificial selection for predatory behavior results in dietary niche differentiation in an omnivorous mammal) and its electronic supplementary material.

Usage Notes

Artificial selection for predatory behavior results in dietary niche differentiation in an omnivorous mammal

Anni Hämäläinen, Mikko Kiljunen, Esa Koskela, Pawel Koteja, Tapio Mappes, Milla Rajala, Katariina Tiainen 

The file contains raw isotope data for bank voles (Myodes glareolus) and potential food sources from a field experiment. The data are provided on two sheets, one for voles and one for potential food sources.

Sheet "raw_data_voles" contains stable isotope data and metadata for bank voles:

Contents of the sheet "raw_data_voles"
Column name Description
Season Season, i.e. experiment replicate round (1: early summer, 2: late summer)
Enclosure Enclosure number (1-11)
Treat_density Density treatment (H: high, L: low)
Dam_ID Mother's identity code 
Selection Selection regime (C: runselected control, P: artificial selection for predatory behavior)
Line Replicate selection line (C1-4, P1-4)
Pup_ID Young vole identity code
Sex Sex of young vole
Date_collect Date of hair sample collection
Head Head width of young vole
Bodymass Body mass (g) of young vole
Samplemass Sampled mass (g) of hair for isotope analyses
d13C Isotope ratio of carbon (δ13C) in hair of young vole
d15N Isotope ratio of nitrogen (δ15N) in hair of young vole

 

 

 

 

 

 

 

 

 

 

 

Sheet "raw_data_sources" contains stable isotope data and metadata for possible food sources consumed in the field enclosures by bank voles:

Contents of the sheet "raw_data_sources"
Column name Description
Kingdom Grouping of food sources at kingdom level (animal, fungi, plant)
Group Sub-grouping food sources 
Taxon Taxonomic division 
Type Grouping of food sources according to predicted trophic level
Parts Parts of organism sampled
Year Year of collection (2019 from Peltokangas enclosures, 2020 from Pukara enclosures)
Season Time of sample collection: 1= early summer (June/July), 2= late summer (August/September)
d13C δ13C isotope ratio
d15N δ15N isotope ratio
%C % of carbon in the sample
%N % of nitrogen in the sample
C/N Ratio of nitrogen to carbon in the sample (%C/%N))

 

Funding

Academy of Finland, Award: 324605

Academy of Finland, Award: 326533

Narodowe Centrum Nauki, Award: 2018/29/B/NZ8/01924

Narodowe Centrum Nauki, Award: 2016/23/B/NZ8/00888

Jagiellonian University, Award: DS/WBINOZ/INOS/757