Diet composition analysis provides new management insights for a highly specialized endangered small mammal.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2020
Historique:
received: 02 06 2020
accepted: 20 09 2020
entrez: 2 10 2020
pubmed: 3 10 2020
medline: 2 12 2020
Statut: epublish

Résumé

The critically endangered Amargosa vole (Microtus californicus scirpensis) is found only in rare marsh habitat near Tecopa, California in a plant community dominated by three-square bulrush (Schoenoplectus americanus). Since the earliest research on the Amargosa vole, the existing paradigm has been that these voles are obligatorily dependent on bulrush as their only food source and for the three-dimensional canopy and litter structure it provides for predator avoidance. However, no prior research has confirmed the diet of the Amargosa vole. In this study we characterized the Amargosa vole' nutritional needs, analyzed the quality of bulrush by forage analysis, and performed microhistological and metabarcoding analyses of vole feces to determine what foods were consumed in the wild. All bulrush plant tissues analyzed were low in fat (from 0.9% of dry matter in roots to 3.6% in seeds), high in neutral detergent fiber (from 5.9% in rhizomes to 33.6% in seeds), and low in protein (7.3-8.4%). These findings support the conclusion that bulrush alone is unlikely to support vole survival and reproduction. Fecal microhistology and DNA metabarcoding revealed relatively diverse diets including plants in 14 families, with rushes (Juncaceae), bulrushes (Cyperaceae), and grasses (Poaceae) being the most common diet items. On microhistology, all analyzed samples contained bulrush, sedges (Carex sp.), rushes (Juncus sp.), and beaked spikerush (Eleocharis rostrellata) even from marshes where non-bulrush plants were uncommon. There was evidence of insects at <1% in two marshes but none in the remaining marshes. Metabarcoding detected ten genera of plants. When considering non-Schoenoplectus targets, for which metabarcoding had poor sensitivity, saltgrass (Distichlis spicata) was the most commonly detected species, with prominent contributions from seaside arrowgrass (Triglochin concinna) and yerba mansa (Anemopsis californica) as well. Diversity of vole diets generally increased with increasing site plant diversity, but differences were not statistically significant. Confirming details about dietary behaviors is critical for informing appropriate conservation planning including habitat management and reintroduction of voles into new sites.

Identifiants

pubmed: 33007017
doi: 10.1371/journal.pone.0240136
pii: PONE-D-20-16739
pmc: PMC7531790
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0240136

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Références

Conserv Physiol. 2017 May 22;5(1):cox030
pubmed: 28740638
PLoS One. 2016 Nov 16;11(11):e0165366
pubmed: 27851756
J Nutr. 1955 Mar;55(3):375-85
pubmed: 14354472
Appl Environ Microbiol. 2008 Mar;74(5):1660-3
pubmed: 18192413
Nihon Juigaku Zasshi. 1981 Jun;43(3):299-305
pubmed: 7033616
Mol Ecol. 2012 Apr;21(8):1834-47
pubmed: 22486822
Gigascience. 2019 Aug 1;8(8):
pubmed: 31363753
Conserv Physiol. 2014 Mar 21;2(1):cou009
pubmed: 27293630
Mol Ecol Resour. 2015 Mar;15(2):306-16
pubmed: 25052066
PLoS One. 2020 Aug 13;15(8):e0237516
pubmed: 32790738
J Wildl Dis. 2014 Oct;50(4):767-76
pubmed: 25121407
Sci Rep. 2018 Jun 4;8(1):8542
pubmed: 29867115
Microorganisms. 2018 Sep 12;6(3):
pubmed: 30213049
J Mammal. 1971 Feb;52(1):141-63
pubmed: 5545554
Nat Methods. 2016 Jul;13(7):581-3
pubmed: 27214047
PLoS One. 2019 May 22;14(5):e0216345
pubmed: 31116750
Front Zool. 2006 Aug 16;3:11
pubmed: 16911807
Zoo Biol. 2018 Jan;37(1):59-63
pubmed: 29377272
Mol Ecol Resour. 2016 Jan;16(1):138-49
pubmed: 26084789
PLoS One. 2019 Oct 24;14(10):e0224246
pubmed: 31648291
Bioinformatics. 2016 Oct 1;32(19):3047-8
pubmed: 27312411
Mol Ecol. 2018 Jan;27(2):313-338
pubmed: 29292539
PLoS One. 2015 Jan 30;10(1):e0115335
pubmed: 25635852
Mol Ecol. 2019 Jan;28(2):391-406
pubmed: 29858539
Integr Comp Biol. 2006 Dec;46(6):1191-205
pubmed: 21672817
Nihon Juigaku Zasshi. 1981 Dec;43(6):887-99
pubmed: 7045473

Auteurs

Stephanie T Castle (ST)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.
Wildlife Investigations Lab, California Department of Fish and Wildlife, Rancho Cordova, CA, United States of America.

Nora Allan (N)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Deana Clifford (D)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.
Wildlife Investigations Lab, California Department of Fish and Wildlife, Rancho Cordova, CA, United States of America.

Cody M Aylward (CM)

Department of Fish, Wildlife and Conservation Biology, University of California, Davis, CA, United States of America.
Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, CA, United States of America.

Jon Ramsey (J)

Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Andrea J Fascetti (AJ)

Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Risa Pesapane (R)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Austin Roy (A)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Mark Statham (M)

Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, CA, United States of America.

Benjamin Sacks (B)

Mammalian Ecology and Conservation Unit, Veterinary Genetics Laboratory, University of California, Davis, CA, United States of America.
Department of Population Health, and Reproduction, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Janet Foley (J)

Department of Medicine and Epidemiology, School of Veterinary Medicine, University of California, Davis, CA, United States of America.

Articles similaires

Robotic Surgical Procedures Animals Humans Telemedicine Models, Animal

Odour generalisation and detection dog training.

Lyn Caldicott, Thomas W Pike, Helen E Zulch et al.
1.00
Animals Odorants Dogs Generalization, Psychological Smell
Animals TOR Serine-Threonine Kinases Colorectal Neoplasms Colitis Mice
Animals Tail Swine Behavior, Animal Animal Husbandry

Classifications MeSH