Characterisation of the symbionts in the Mediterranean fruitfly gut
Darrington, M.; Leftwich, P. T.; Holmes, N. A.; Friend, L. A.; Clarke, N. V. E.; Worsley, S. F.; Margaritopoulos, J. T.; Hogenhout, S. A.; Hutchings, M. I.; Chapman, T.
Show abstract
Symbioses between bacteria and their insect hosts can range from very loose associations through to obligate interdependence. While fundamental evolutionary insights have been gained from the in-depth study of obligate mutualisms, there is increasing interest in the evolutionary potential of flexible symbiotic associations between hosts and their gut microbiomes. Understanding relationships between microbes and hosts also offers the potential for exploitation for insect control. Here, we investigate the gut microbiome of a global agricultural pest, the Mediterranean fruitfly (Ceratitis capitata). We used 16S rRNA profiling to compare the gut microbiomes of laboratory and wild strains raised on different diets and from flies collected from various natural plant hosts. The results showed that medfly guts harbour a fairly simple microbiome, primarily determined by the larval diet in both wild and laboratory flies. However, regardless of the laboratory diet or natural plant host on which flies were raised, Klebsiella spp dominated the medfly microbiomes and resisted removal by antibiotic treatment. We sequenced the genome of the dominant putative Klebsiella spp (designated Medkleb) isolated from the gut of the Toliman wild type fruitfly strain. Genome-wide ANI analysis placed Medkleb within the K. oxytoca / michiganensis group. Molecular, sequence and phenotypic analyses supported its identity as K. oxytoca. Medkleb has a genome size (5 825 435 bp) which is 1.6 standard deviations smaller than the mean genome size of free-living Klebsiella spp, and lacks some genes involved in environmental sensing. Moreover, the Medkleb genome contains at least two recently acquired unique genomic islands as well as genes that encode pectinolytic enzymes capable of degrading plant cell walls. This may be advantageous given that the medfly diet includes unripe fruits containing high proportions of pectin. These results suggest that the medfly harbours a commensal gut bacterium that may have developed a mutualistic association with its host and provide nutritional benefits.
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A New Case Of Diploidy Within A Haploid Genus Of Entomopathogenic Fungi 96%
- Comparative genomics reveals multipartite genomes undergoing loss in the fungal endosymbiotic genus Mycetohabitans 95%
- Complete Genome Sequence of the Polysaccharide-Degrading Rumen Bacterium Pseudobutyrivibrio xylanivorans MA3014 95%
Similar papers in this journal
- Uncovering hidden phylo- and ecogenomic diversity of the widespread methanotrophic genus Methylobacter 94%
- More than just hitchhikers: a survey of bacterial communities associated with diatoms originating from marine reptiles 94%
- Weberviruses are gut-associated phages that infect Klebsiella spp. 93%
Similar papers in this journal
- Application of an optimized annotation pipeline to the Cryptococcus deuterogattii genome reveals dynamic primary metabolic gene clusters and genomic impact of RNAi loss 96%
- The fully resolved genome of Bacillus thuringiensis HER1410 reveals a cry-containing chromosome, two megaplasmids & an integrative plasmidial prophage 95%
- Phylogenomic analyses of non-Dikarya fungi supports horizontal gene transfer driving diversification of secondary metabolism in the amphibian gastrointestinal symbiont, Basidiobolus 95%
Similar papers in this journal
- Calcium starvation leads to strain-specific gene regulation of lipid and carotenoid production in Mucor Circinelloides 95%
- Genomic and Transcriptomic Characterization of Carbohydrate-Active Enzymes in the Anaerobic Fungus Neocallimastix cameroonii var. constans 95%
- In host evolution of Exophiala dermatitidis in cystic fibrosis lung micro-environment 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.