Back

Tameness selection pressure affects gut virome diversity in mice

Biswa, B. B.; Fujiwara, K.; Toyoda, A.; Koide, T.

2024-08-26 microbiology
10.1101/2024.08.26.609628 bioRxiv
Show abstract

The gut microbiome, a complex ecosystem comprising bacteria, viruses, archaea, fungi, and other microorganisms, plays a pivotal role in host health, immunity, and behaviour. Among its components, bacteriophages and viruses that infect bacteria significantly influence microbial community dynamics by affecting bacterial diversity, function, and evolution. Despite extensive research on bacterial components, the viral metagenome (virome) remains relatively unexplored. This study investigated the effect of selective breeding for tameness on the gut virome of wild heterogeneous stock (WHS) mice. WHS mice were selectively bred for active tameness, resulting in four groups: S1 and S2 (selected for tameness), and C1 and C2 (non-selected). In previous study, we observed an increased abundance of Limosilactobacillus reuteri in tame groups compared to non-selected groups, as well as a tameness-promoting effect of L. reuteri with long-term administration. Given the regulatory role of phages in bacterial populations, this study focused on analysing the gut virome using shotgun metagenome sequencing data. From the 84 samples, we generated 6078 non-redundant viral operational taxonomic units (vOTUs) and identified the hosts of 3,065 of these vOTUs. Significant differences in gut virome beta diversity were observed between the selectively bred and control groups, suggesting that tameness selection exerts distinct pressure on the virome. Additionally, phage-host interaction analysis revealed strong correlations between specific phages and their bacterial hosts, indicating a co-occurrence that influences host behaviour. Overall, this study provides novel insights into the role of the gut virome in shaping host behaviour and highlights the broader implications of microbial contributions to domestication and selective breeding outcomes.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Microbiome
154 papers in training set
Top 0.1%
38.7%
2
Animal Microbiome
31 papers in training set
Top 0.1%
6.6%
3
Viruses
332 papers in training set
Top 0.9%
5.4%
50% of probability mass above
4
mSystems
394 papers in training set
Top 2%
5.4%
5
Microbiology Spectrum
469 papers in training set
Top 3%
4.2%
6
The ISME Journal
228 papers in training set
Top 1%
4.0%
7
ISME Communications
120 papers in training set
Top 0.7%
3.4%
8
PLOS ONE
5266 papers in training set
Top 39%
3.1%
9
Frontiers in Microbiology
427 papers in training set
Top 5%
2.1%
10
BMC Biology
265 papers in training set
Top 2%
1.7%
11
Proceedings of the Royal Society B: Biological Sciences
393 papers in training set
Top 4%
1.7%
12
Microbial Genomics
225 papers in training set
Top 2%
1.5%
13
Scientific Reports
3612 papers in training set
Top 61%
1.4%
14
Microorganisms
106 papers in training set
Top 2%
1.3%
15
Genome Biology
637 papers in training set
Top 7%
1.1%
16
PLOS Pathogens
820 papers in training set
Top 8%
1.1%
17
GigaScience
212 papers in training set
Top 4%
1.0%
18
PLOS Biology
486 papers in training set
Top 10%
1.0%
19
Environmental Microbiology
133 papers in training set
Top 2%
1.0%
20
Microbial Ecology
29 papers in training set
Top 0.8%
0.8%
21
Genomics, Proteomics & Bioinformatics
172 papers in training set
Top 2%
0.8%
22
BMC Genomics
406 papers in training set
Top 9%
0.8%
23
iScience
1154 papers in training set
Top 41%
0.6%