Literature DB >> 34045683

Experimental validation of small mammal gut microbiota sampling from faeces and from the caecum after death.

Dagmar Čížková1, Ľudovít Ďureje2, Jaroslav Piálek2, Jakub Kreisinger3.   

Abstract

Data on the gut microbiota (GM) of wild animals are key to studies on evolutionary biology (host-GM interactions under natural selection), ecology and conservation biology (GM as a fitness component closely connected to the environment). Wildlife GM sampling often requires non-invasive techniques or sampling from dead animals. In a controlled experiment profiling microbial 16S rRNA in 52 house mice (Mus musculus) from eight families and four genetic backgrounds, we studied the effects of live- and snap-trapping on small mammal GM and evaluated the suitability of microbiota from non-fresh faeces as a proxy for caecal GM. We compared CM from individuals sampled 16-18 h after death with those in live traps and caged controls, and caecal and faecal GM collected from mice in live-traps. Sampling delay did not affect GM composition, validating data from fresh cadavers or snap-trapped animals. Animals trapped overnight displayed a slight but significant difference in GM composition to the caged controls, though the change only had negligible effect on GM diversity, composition and inter-individual divergence. Hence, the trapping process appears not to bias GM profiling. Despite their significant difference, caecal and faecal microbiota were correlated in composition and, to a lesser extent, diversity. Both showed congruent patterns of inter-individual divergence following the natural structure of the dataset. Thus, the faecal microbiome represents a good non-invasive proxy of the caecal microbiome, making it suitable for detecting biologically relevant patterns. However, care should be taken when analysing mixed datasets containing both faecal and caecal samples.
© 2021. The Author(s), under exclusive licence to The Genetics Society.

Entities:  

Mesh:

Substances:

Year:  2021        PMID: 34045683      PMCID: PMC8322053          DOI: 10.1038/s41437-021-00445-6

Source DB:  PubMed          Journal:  Heredity (Edinb)        ISSN: 0018-067X            Impact factor:   3.832


  74 in total

1.  Impact of diet in shaping gut microbiota revealed by a comparative study in children from Europe and rural Africa.

Authors:  Carlotta De Filippo; Duccio Cavalieri; Monica Di Paola; Matteo Ramazzotti; Jean Baptiste Poullet; Sebastien Massart; Silvia Collini; Giuseppe Pieraccini; Paolo Lionetti
Journal:  Proc Natl Acad Sci U S A       Date:  2010-08-02       Impact factor: 11.205

2.  Social Influences on Prevotella and the Gut Microbiome of Young Monkeys.

Authors:  Wellington Z Amaral; Gabriele R Lubach; Alexandra Proctor; Mark Lyte; Gregory J Phillips; Christopher L Coe
Journal:  Psychosom Med       Date:  2017-10       Impact factor: 4.312

3.  SALIVARY ANDROGEN-BINDING PROTEIN (ABP) MEDIATES SEXUAL ISOLATION IN MUS MUSCULUS.

Authors:  Christina M Laukaitis; Elizabeth S Critser; Robert C Karn
Journal:  Evolution       Date:  1997-12       Impact factor: 3.694

4.  Dietary history contributes to enterotype-like clustering and functional metagenomic content in the intestinal microbiome of wild mice.

Authors:  Jun Wang; Miriam Linnenbrink; Sven Künzel; Ricardo Fernandes; Marie-Josée Nadeau; Philip Rosenstiel; John F Baines
Journal:  Proc Natl Acad Sci U S A       Date:  2014-05-27       Impact factor: 11.205

5.  DADA2: High-resolution sample inference from Illumina amplicon data.

Authors:  Benjamin J Callahan; Paul J McMurdie; Michael J Rosen; Andrew W Han; Amy Jo A Johnson; Susan P Holmes
Journal:  Nat Methods       Date:  2016-05-23       Impact factor: 28.547

Review 6.  Gut biogeography of the bacterial microbiota.

Authors:  Gregory P Donaldson; S Melanie Lee; Sarkis K Mazmanian
Journal:  Nat Rev Microbiol       Date:  2015-10-26       Impact factor: 60.633

7.  Hibernation alters the diversity and composition of mucosa-associated bacteria while enhancing antimicrobial defence in the gut of 13-lined ground squirrels.

Authors:  Kimberly A Dill-McFarland; Katie L Neil; Austin Zeng; Ryan J Sprenger; Courtney C Kurtz; Garret Suen; Hannah V Carey
Journal:  Mol Ecol       Date:  2014-09-03       Impact factor: 6.185

8.  Bacterial community mapping of the mouse gastrointestinal tract.

Authors:  Shenghua Gu; Dandan Chen; Jin-Na Zhang; Xiaoman Lv; Kun Wang; Li-Ping Duan; Yong Nie; Xiao-Lei Wu
Journal:  PLoS One       Date:  2013-10-07       Impact factor: 3.240

9.  Efficacy of Fecal Sampling as a Gut Proxy in the Study of Chicken Gut Microbiota.

Authors:  Wei Yan; Congjiao Sun; Jiangxia Zheng; Chaoliang Wen; Congliang Ji; Dexiang Zhang; Yonghua Chen; Zhuocheng Hou; Ning Yang
Journal:  Front Microbiol       Date:  2019-09-13       Impact factor: 5.640

10.  High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution.

Authors:  Benjamin J Callahan; Joan Wong; Cheryl Heiner; Steve Oh; Casey M Theriot; Ajay S Gulati; Sarah K McGill; Michael K Dougherty
Journal:  Nucleic Acids Res       Date:  2019-10-10       Impact factor: 16.971

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.