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Metagenomics data of the bacterial community in Bemisia tabaci from Burkina Faso


Mouton, Laurence et al. (2022), Metagenomics data of the bacterial community in Bemisia tabaci from Burkina Faso, Dryad, Dataset,


Microbial symbionts are widespread in insects and some of them have been associated to adaptive changes. Primary symbionts (P-symbionts) have a nutritional role that allows their hosts to feed on unbalanced diets (plant sap, wood, blood). Most of them have undergone genome reduction, but their genomes still retain genes involved in pathways that are necessary to synthesize the nutrients that their hosts need. However, in some P-symbionts, essential pathways are incomplete and secondary symbionts (S-symbionts) are required to complete parts of their degenerated functions. The P-symbiont of the phloem sap-feeder Bemisia tabaci, Portiera aleyrodidarium, lacks genes involved in the synthesis of vitamins, cofactors, and also of some essential amino-acids. Seven S-symbionts have been detected in the B. tabaci species complex. Phenotypic and genomic analyses have revealed various effects, from reproductive manipulation to fitness benefits, notably some of them have complementary metabolic capabilities to Portiera, suggesting that their presence may be obligatory. In order to get the full picture of the symbiotic community of this pest, we investigated, through metabarcoding approaches, the symbiont content of individuals from Burkina Faso, a West African country where B. tabaci induces severe crop damage. While no new putative B. tabaci S-symbiont was identified, Hemipteriphilus, a symbiont only described in B. tabaci populations from Asia, was detected for the first time on this continent. Phylogenetic analyses however reveal that it is a different strain than the reference found in Asia. Specific diagnostic PCRs showed a high prevalence of these S-symbionts and especially of Hemipteriphilus in different genetic groups. These results suggest that Hemipteriphilus may affect the biology of B. tabaci and provide fitness advantage in some B. tabaci populations.


Sampling was done in nine localities in Burkina Faso, Western Africa, in March and April (dry season) 2015 and 2016 on vegetables, ornamental plants and weeds.

Seventy-two field-collected whiteflies from Burkina Faso were used to characterize the bacterial community through qPCRs using primers specific to each symbiont. They were chosen in order that all genetic groups, all localities and all host plants were represented. We also included 18 adults coming from laboratory lines belonging to MED-Q1 and MED-Q2 genetic groups reared for years in the « Laboratoire de Biométrie et Biologie Evolutive ». The universal bacterial primer set 319F-TCG-TCG-GCA-GCG-TCA-GAT-GTG-TAT-AAG-AGA-CAG-CCT-ACG-GGN-GGC-WGC-AG and 805R-GTC-TCG-TGG-GCT-CGG-AGA-TGT-GTA-TAA-GAG-ACA-GGA-CTA-CHV-GGG-TAT-CTA-ATC-C was used to amplify 486 bp of the V3-V4 hypervariable regions of the 16SrDNA gene. The primers were synthesized with overhang adapters (in italic) for index attachment and Illumina sequencing adapters. For each sample, triplicates were performed, consisting of three PCR reactions using 4µL of DNA template and 25 cycles of PCR. Each amplification product was checked on an agarose gel to verify that there was specific amplification only. For some of them, a bioanalyzer verification was also performed. Then, all the replicates were pooled by sample before purification and to proceed to the further preparation of the library according to the protocol outlined by Illumina (« 16S metagenomic Sequencing Library Preparation »), n°15044223 Rev.B. The pooled library was PE-sequenced using the Illumina MiSeq reagent kit version 3 for 600 cycles (2x300pb) by Biofidal (Vaulx enVelin, France).

The sequencing data in FASTQ format were processed and analyzed with the QIIME2 software suite version 2018.8. The raw Illumina reads were imported into QIIME2, demultiplexed, and then denoised, trimmed and filtered with DADA2 pipeline to remove noisy and chimeric sequences, to construct denoised paired-end sequences and to dereplicate them. This produced a table containing representative sequences also called amplicon sequence variant or ASV. The taxonomy assignment of ASVs was then performed by using feature-classifier classify-sklearn against the database Greengenes 13_8 (99% OTUs from 515F/806R region of sequences).


Agence Nationale de la Recherche, Award: ANR16-CE02-00014

Agence Nationale de la Recherche, Award: ANR-11-IDEX-0007