Impact of supplemental winter feeding on ruminal microbiota of roe deer Capreolus capreolus

被引:15
作者
Ricci, Sara [1 ,2 ]
Sandfort, Robin [3 ]
Pinior, Beate [4 ]
Mann, Evelyne [5 ]
Wetzels, Stefanie U. [5 ]
Stalder, Gabrielle [1 ]
机构
[1] Univ Vet Med, Res Inst Wildlife Ecol, Dept Interdisciplinary Life Sci, Savoyenstr 1, AU-1160 Vienna, Austria
[2] Univ Camerino, Camerino, MC, Italy
[3] Univ Nat Resources & Life Sci Vienna, Inst Wildlife Biol & Game Management, Vienna, Austria
[4] Univ Vet Med, Inst Vet Publ Hlth, Dept Farm Anim & Vet Publ Hlth, Vienna, Austria
[5] Univ Vet Med, Dept Farm Anim & Publ Hlth Vet Med, Inst Milk Hyg Milk Technol & Food Sci, Vienna, Austria
关键词
16S rRNA gene sequencing; Capreolus capreolus; roe deer; rumen bacterial microbiota; supplemental feeding; PHYLOGENETIC DIVERSITY; SEASONAL-CHANGES; RED DEER; RUMEN; DIET; FOOD; CULTIVATION; ADAPTATION; RESPONSES; DYNAMICS;
D O I
10.2981/wlb.00572
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
European ungulates such as the roe deer face seasonally varying climatic conditions as well as food availability and quality. In some European countries, including Austria, it is common practice to provide game animals with supplemental feeding in winter. In this study we investigated if supplemental feeding significantly affects the composition of the bacterial rumen community. The rumen microbial composition of eight adult female roe deer was analysed by Illumina MiSeq 16S rRNA gene amplicon sequencing. Animals from a study area with supplemental feeding sites were compared to individuals relying on natural feed. Furthermore, the microbial community composition of different ruminal compartments (liquid phase, solid phase and wall) was compared. Our results revealed a significant qualitative difference between the microbiota composition of the two populations studied. Easily fermentable supplemental feeding promoted the proliferation of phylotypes correlated with conditions of acidosis in domestic ruminants, suggesting a possible similar adaptation and a hypothetical negative effect on health status also in roe deer. The results furthermore confirmed that in roe deer, like in other ruminant species, the most represented phyla are Firmicutes (63.2%) and Bacteroidetes (23.5%), and that the ruminal microenvironments influence the microbial community composition, with the lowest species richness and variation in the epimural microbiota.
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页数:11
相关论文
共 67 条
[1]  
[Anonymous], 1997, RUMEN MICROBIAL ECOS
[2]   Contrary seasonal changes of rates of nutrient uptake, organ mass, and voluntary food intake in red deer (Cervus elaphus) [J].
Arnold, Walter ;
Beiglboeck, Christoph ;
Burmester, Marion ;
Guschlbauer, Maria ;
Lengauer, Astrid ;
Schroeder, Bernd ;
Wilkens, Mirja ;
Breves, Gerhard .
AMERICAN JOURNAL OF PHYSIOLOGY-REGULATORY, INTEGRATIVE AND COMPARATIVE PHYSIOLOGY, 2015, 309 (03) :R277-R285
[3]   Shifts in the Rumen Microbiota Due to the Type of Carbohydrate and Level of Protein Ingested by Dairy Cattle Are Associated with Changes in Rumen Fermentation [J].
Belanche, Alejandro ;
Doreau, Michel ;
Edwards, Joan E. ;
Moorby, Jon M. ;
Pinloche, Eric ;
Newbold, Charles J. .
JOURNAL OF NUTRITION, 2012, 142 (09) :1684-1692
[4]  
Biddle A., 2013, DIVERSITY-BASEL, V5, P627, DOI [DOI 10.3390/d5030627, 10.3390/d5030627]
[5]   UGA is an additional glycine codon in uncultured SR1 bacteria from the human microbiota [J].
Campbell, James H. ;
O'Donoghue, Patrick ;
Campbell, Alisha G. ;
Schwientek, Patrick ;
Sczyrba, Alexander ;
Woyke, Tanja ;
Soell, Dieter ;
Podar, Mircea .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2013, 110 (14) :5540-5545
[6]   QIIME allows analysis of high-throughput community sequencing data [J].
Caporaso, J. Gregory ;
Kuczynski, Justin ;
Stombaugh, Jesse ;
Bittinger, Kyle ;
Bushman, Frederic D. ;
Costello, Elizabeth K. ;
Fierer, Noah ;
Pena, Antonio Gonzalez ;
Goodrich, Julia K. ;
Gordon, Jeffrey I. ;
Huttley, Gavin A. ;
Kelley, Scott T. ;
Knights, Dan ;
Koenig, Jeremy E. ;
Ley, Ruth E. ;
Lozupone, Catherine A. ;
McDonald, Daniel ;
Muegge, Brian D. ;
Pirrung, Meg ;
Reeder, Jens ;
Sevinsky, Joel R. ;
Tumbaugh, Peter J. ;
Walters, William A. ;
Widmann, Jeremy ;
Yatsunenko, Tanya ;
Zaneveld, Jesse ;
Knight, Rob .
NATURE METHODS, 2010, 7 (05) :335-336
[7]   Determining the culturability of the rumen bacterial microbiome [J].
Creevey, Christopher J. ;
Kelly, William J. ;
Henderson, Gemma ;
Leahy, Sinead C. .
MICROBIAL BIOTECHNOLOGY, 2014, 7 (05) :467-479
[8]   Assessment of the Diversity, Abundance, and Ecological Distribution of Members of Candidate Division SR1 Reveals a High Level of Phylogenetic Diversity but Limited Morphotypic Diversity [J].
Davis, James P. ;
Youssef, Noha H. ;
Elshahed, Mostafa S. .
APPLIED AND ENVIRONMENTAL MICROBIOLOGY, 2009, 75 (12) :4139-4148
[9]   Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data [J].
Davis, Nicole M. ;
Proctor, Diana M. ;
Holmes, Susan P. ;
Relman, David A. ;
Callahan, Benjamin J. .
MICROBIOME, 2018, 6
[10]   Intestinal Microbial Community Dynamics of White-Tailed Deer (Odocoileus virginianus) in an Agroecosystem [J].
Delgado, M. Lisette ;
Singh, Pallavi ;
Funk, Julie A. ;
Moore, Jennifer A. ;
Cannell, Emily M. ;
Kanesfsky, Jeannette ;
Manning, Shannon D. ;
Scribner, Kim T. .
MICROBIAL ECOLOGY, 2017, 74 (02) :496-506