The Intestinal Eukaryotic and Bacterial Biome of Spotted Hyenas: The Impact of Social Status and Age on Diversity and Composition

被引:30
作者
Heitlinger, Emanuel [1 ,2 ]
Ferreira, Susana C. M. [3 ]
Thierer, Dagmar [3 ]
Hofer, Heribert [3 ]
East, Marion L. [3 ]
机构
[1] Leibniz Inst Zoo & Wildlife Res, Res Grp Ecol & Evolut Mol Parasite Host Interact, Berlin, Germany
[2] Humboldt Univ, Inst Biol, Mol Parasitol, Berlin, Germany
[3] Leibniz Inst Zoo & Wildlife Res, Dept Evolutionary Ecol, Berlin, Germany
来源
FRONTIERS IN CELLULAR AND INFECTION MICROBIOLOGY | 2017年 / 7卷
关键词
eukaryotome; eukaryome; parasites; amplicon sequencing; spotted hyena; social status; bacterial microbiome; age classes; GUT MICROBIOTA; COMMUTING SYSTEM; MIGRATORY PREY; PREDATOR COPES; TRADE-OFFS; BIODIVERSITY; INFECTION; EVOLUTION; CROCUTA; COMMUNITIES;
D O I
10.3389/fcimb.2017.00262
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
In mammals, two factors likely to affect the diversity and composition of intestinal bacteria (bacterial microbiome) and eukaryotes (eukaryome) are social status and age. In species in which social status determines access to resources, socially dominant animals maintain better immune processes and health status than subordinates. As high species diversity is an index of ecosystem health, the intestinal biome of healthier, socially dominant animals should be more diverse than those of subordinates. Gradual colonization of the juvenile intestine after birth predicts lower intestinal biome diversity in juveniles than adults. We tested these predictions on the effect of: (1) age (juvenile/adult) and (2) social status (low/high) on bacterial microbiome and eukaryome diversity and composition in the spotted hyena (Crocuta crocuta), a highly social, female-dominated carnivore in which social status determines access to resources. We comprehensively screened feces from 35 individually known adult females and 7 juveniles in the Serengeti ecosystem for bacteria and eukaryotes, using a set of 48 different amplicons (4 for bacterial 16S, 44 for eukaryote 18S) in a multi-amplicon sequencing approach. We compared sequence abundances to classical coprological egg or oocyst counts. For all parasite taxa detected in more than six samples, the number of sequence reads significantly predicted the number of eggs or oocysts counted, underscoring the value of an amplicon sequencing approach for quantitative measurements of parasite load. In line with our predictions, our results revealed a significantly less diverse microbiome in juveniles than adults and a significantly higher diversity of eukaryotes in high-ranking than low-ranking animals. We propose that free-ranging wildlife can provide an intriguing model system to assess the adaptive value of intestinal biome diversity for both bacteria and eukaryotes.
引用
收藏
页数:17
相关论文
共 103 条
  • [71] Divergent Sapovirus Strains and Infection Prevalence in Wild Carnivores in the Serengeti Ecosystem: A Long-Term Study
    Olarte-Castillo, Ximena A.
    Hofer, Heribert
    Goller, Katja V.
    Martella, Vito
    Moehlman, Patricia D.
    East, Marion L.
    [J]. PLOS ONE, 2016, 11 (09):
  • [72] Development of the human infant intestinal microbiota
    Palmer, Chana
    Bik, Elisabeth M.
    DiGiulio, Daniel B.
    Relman, David A.
    Brown, Patrick O.
    [J]. PLOS BIOLOGY, 2007, 5 (07): : 1556 - 1573
  • [73] Communities of microbial eukaryotes in the mammalian gut within the context of environmental eukaryotic diversity
    Parfrey, Laura Wegener
    Walters, William A.
    Lauber, Christian L.
    Clemente, Jose C.
    Berg-Lyons, Donna
    Teiling, Clotilde
    Kodira, Chinnappa
    Mohiuddin, Mohammed
    Brunelle, Julie
    Driscoll, Mark
    Fierer, Noah
    Gilbert, Jack A.
    Knight, Rob
    [J]. FRONTIERS IN MICROBIOLOGY, 2014, 5
  • [74] Microbial eukaryotes in the human microbiome: ecology, evolution, and future directions
    Parfrey, Laura Wegener
    Walters, William A.
    Knight, Rob
    [J]. FRONTIERS IN MICROBIOLOGY, 2011, 2
  • [75] Pielou E.C., 1975, Ecological Diversity
  • [76] Global biotic interactions: An open infrastructure to share and analyze species-interaction datasets
    Poelen, Jorrit H.
    Simons, James D.
    Mungall, Chris J.
    [J]. ECOLOGICAL INFORMATICS, 2014, 24 : 148 - 159
  • [77] POND CM, 1977, EVOLUTION, V31, P177, DOI [10.2307/2407556, 10.1111/j.1558-5646.1977.tb00995.x]
  • [78] Using metabarcoding to reveal and quantify plant-pollinator interactions
    Pornon, Andre
    Escaravage, Nathalie
    Burrus, Monique
    Holota, Helene
    Khimoun, Aurelie
    Mariette, Jerome
    Pellizzari, Charlene
    Iribar, Amaia
    Etienne, Roselyne
    Taberlet, Pierre
    Vidal, Marie
    Winterton, Peter
    Zinger, Lucie
    Andalo, Christophe
    [J]. SCIENTIFIC REPORTS, 2016, 6
  • [79] The SILVA ribosomal RNA gene database project: improved data processing and web-based tools
    Quast, Christian
    Pruesse, Elmar
    Yilmaz, Pelin
    Gerken, Jan
    Schweer, Timmy
    Yarza, Pablo
    Peplies, Joerg
    Gloeckner, Frank Oliver
    [J]. NUCLEIC ACIDS RESEARCH, 2013, 41 (D1) : D590 - D596
  • [80] R Core Team, 2018, R: A language and environment for statistical computing