Back

Landscape-wide metabarcoding of the invasive bumblebee (Bombus terrestris) shows interactions among the gut microbiome and pollenbiome

Haque, S.; Gamage, H. K.; Kardum Hjort, C.; Ponton, F.; Encinas-Viso, F.; Paulsen, I.; Dudaniec, R. Y.

2024-09-13 ecology
10.1101/2024.09.08.611921 bioRxiv
Show abstract

Many species of social insects introduced to regions beyond their native ranges have become highly invasive. The introduction of the eusocial European buff-tailed bumblebee, Bombus terrestris, to the island of Tasmania (Australia) [~]30 years ago is of concern due to its ecological impacts and its potential to spill over pathogens to native bees or commercially important honeybees. The health of B. terrestris is intricately connected with its gut microbiome and diet; however, environmental variables may also interact, particularly during invasion into novel environments. Using landscape-wide sampling and a metabarcoding approach to characterize the gut bacteria (16S rRNA) and diet composition from foraged pollen (ITS2: floristic diversity of pollen baskets), this study investigates how the gut microbiota of B. terrestris workers is affected by nutritional diversity ( pollenbiome) and environmental variation across diverse landscapes of its invasive range in Tasmania. Gut bacterial community composition and diversity were significantly predicted by site annual precipitation and percentage of pasture. Further, a positive interaction between site annual precipitation and site annual temperature significantly predicted gut bacterial diversity. The interaction effect of pollen diversity and average summer wind velocity was also significantly and positively related to gut bacterial diversity. Following comparison of Akaike information criterion (AIC) and sum of weights, the percentage of pasture was identified as the most strongly weighted variable, which, along with pollen diversity, had a negative impact on gut bacterial diversity. These insights help to uncover how environmental interactions affect the gut microbiome of B. terrestris in an invaded landscape with novel nutritional resources. This knowledge contributes to understanding the factors that predict the spread and persistence of invasive bumblebees.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
Molecular Ecology
304 papers in training set
Top 0.3%
18.7%
2
Insects
36 papers in training set
Top 0.1%
10.1%
3
Frontiers in Ecology and Evolution
60 papers in training set
Top 0.2%
6.8%
4
Microbial Ecology
28 papers in training set
Top 0.1%
6.8%
5
Environmental DNA
49 papers in training set
Top 0.1%
4.8%
6
Scientific Reports
3102 papers in training set
Top 24%
4.8%
50% of probability mass above
7
PLOS ONE
4510 papers in training set
Top 36%
4.0%
8
Science of The Total Environment
179 papers in training set
Top 2%
3.6%
9
Ecology and Evolution
232 papers in training set
Top 1.0%
3.6%
10
Environmental Microbiology
119 papers in training set
Top 0.8%
3.6%
11
Journal of Animal Ecology
63 papers in training set
Top 0.3%
2.6%
12
PeerJ
261 papers in training set
Top 5%
2.1%
13
BMC Ecology and Evolution
49 papers in training set
Top 0.8%
1.9%
14
mSystems
361 papers in training set
Top 4%
1.8%
15
Frontiers in Microbiology
375 papers in training set
Top 5%
1.7%
16
Ecological Entomology
11 papers in training set
Top 0.2%
1.7%
17
Proceedings of the Royal Society B: Biological Sciences
341 papers in training set
Top 4%
1.7%
18
Current Microbiology
18 papers in training set
Top 0.3%
1.2%
19
mSphere
281 papers in training set
Top 6%
0.7%
20
ISME Communications
103 papers in training set
Top 2%
0.7%
21
Molecular Ecology Resources
161 papers in training set
Top 1%
0.6%
22
Environmental Microbiome
26 papers in training set
Top 0.7%
0.6%
23
Environmental Pollution
35 papers in training set
Top 3%
0.6%
24
Animal Behaviour
65 papers in training set
Top 0.8%
0.6%
25
Animal Microbiome
26 papers in training set
Top 0.4%
0.6%
26
Insect Molecular Biology
19 papers in training set
Top 0.2%
0.6%
27
Oikos
74 papers in training set
Top 0.9%
0.6%
28
Insect Science
11 papers in training set
Top 0.2%
0.6%