Taxonomic abundance of bacterial community of Bactrocera dorsalis as affected by antibiotics treatments and eggs disinfection
Mazarin, Akami et al. (2022), Taxonomic abundance of bacterial community of Bactrocera dorsalis as affected by antibiotics treatments and eggs disinfection , Dryad, Dataset, https://doi.org/10.5061/dryad.xsj3tx9ds
In order to understand the role of symbionts for their insect hosts, it is customary to treat them with antibiotics or to sterilize eggs (treatments), resulting in aposymbiotic and axenic insects, respectively. Such axenic insects can then be compared to untreated controls. Fruit flies often bear complex communities which are greatly reduced by such treatments. However, the bacterial community is not completely eliminated. Here, we examine the effect of these procedures on the structure of the remaining bacterial communities of Bactrocera dorsalis (Diptera: Tephritidae) and on the insect longevity. The antibiotics (Norfloxacin and Ceftazedime) were administered to 1 day old adult flies through sugar meal for seven days, and eggs were surface sterilized and dechorionated to produce axenic lines. The flies were starved from protein before they were offered full diets or diets containing non-essential amino acids only. Antibiotic and egg disinfection treatments resulted in significant reduction of the vast majority of gut bacterial populations, especially Proteobacteria, Firmicutes and Bacteroidetes. On the other hand, it allowed the persistence of Actinobacteria, Cyanobacteria and Acidobacteria populations. In untreated control flies, longevity was extended irrespective of diet quality in comparison to treated flies. Conversely, when gut bacteria were largely reduced (aposymbiotic and axenic flies), longevity was reduced in the non-essential amino acids diet treatment versus slightly improved in the presence of a protein diet. We discuss these results in an ecological–life history perspective.
The data were collected from bioassays from symbiotic, aposymbiotic and axenic flies and statistically analyzed used SPSS software and bioinformatics tools for metagenomics data.
National Natural Science Foundation of China, Award: 31972270 and 31661143045
International Atomic Energy Agency, Award: CRP No. 17153 and No. 18269
Agricultural Public Welfare Industry Research, Award: 201503137
Fundamental Research Funds for the Central Universities, Award: 2662015PY148