Fecal DNA metabarcoding helps characterize the Canada jay's diet and confirms its reliance on stored food for winter survival and breeding
- PMID: 38656932
- PMCID: PMC11042713
- DOI: 10.1371/journal.pone.0300583
Fecal DNA metabarcoding helps characterize the Canada jay's diet and confirms its reliance on stored food for winter survival and breeding
Abstract
Accurately determining the diet of wild animals can be challenging if food items are small, visible only briefly, or rendered visually unidentifiable in the digestive system. In some food caching species, an additional challenge is determining whether consumed diet items have been previously stored or are fresh. The Canada jay (Perisoreus canadensis) is a generalist resident of North American boreal and subalpine forests with anatomical and behavioural adaptations allowing it to make thousands of arboreal food caches in summer and fall that are presumably responsible for its high winter survival and late winter/early spring breeding. We used DNA fecal metabarcoding to obtain novel information on nestling diets and compiled a dataset of 662 published and unpublished direct observations or stomach contents identifications of natural foods consumed by Canada jays throughout the year. We then used detailed natural history information to make informed decisions on whether each item identified to species in the diets of winter adults and nestlings was best characterized as 'likely cached', 'likely fresh' (i.e., was available as a non-cached item when it appeared in a jay's feces or stomach), or 'either possible'. Of the 87 food items consumed by adults in the winter, 39% were classified as 'likely cached' and 6% were deemed to be 'likely fresh'. For nestlings, 29% of 125 food items identified to species were 'likely cached' and 38% were 'likely fresh'. Our results support both the indispensability of cached food for Canada jay winter survival and previous suggestions that cached food is important for late winter/early spring breeding. Our work highlights the value of combining metabarcoding, stomach contents analysis, and direct observations to determine the cached vs. non-cached origins of consumed food items and the identity of food caches, some of which could be especially vulnerable to degradation through climate change.
Copyright: © 2024 Sutton et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Conflict of interest statement
The authors have declared that no competing interests exist.
Figures
References
-
- Pascacio-Villafán C, Righini N, Nestel D, Birke A, Guillén L, Aluja M. Diet quality and conspecific larval density predict functional trait variation and performance in a polyphagous frugivorous fly. Functional Ecology. 2022;36(5):1163–76.
-
- Robinson BG, Franke A, Derocher AE. Estimating nestling diet with cameras: quantifying uncertainty from unidentified food items. Wildlife Biology. 2015;21(5):277–82.
-
- Ralph CP, Nagata SE, Ralph CJ. Analysis of Droppings to Describe Diets of Small Birds. Journal of Field Ornithology. 1985;56(2):165–74.
Publication types
MeSH terms
Substances
LinkOut - more resources
Full Text Sources
Medical
