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PLoS Negl Trop Dis
2021 Dec 20;1512:e0009942. doi: 10.1371/journal.pntd.0009942.
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Molecular phylogeny of heritable symbionts and microbiota diversity analysis in phlebotominae sand flies and Culex nigripalpus from Colombia.
Vivero-Gomez RJ
,
Castañeda-Monsalve VA
,
Atencia MC
,
Hoyos-Lopez R
,
Hurst GD
,
Cadavid-Restrepo G
,
Moreno-Herrera CX
.
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BACKGROUND: Secondary symbionts of insects include a range of bacteria and fungi that perform various functional roles on their hosts, such as fitness, tolerance to heat stress, susceptibility to insecticides and effects on reproduction. These endosymbionts could have the potential to shape microbial communites and high potential to develop strategies for mosquito-borne disease control.
METHODOLOGY/PRINCIPAL FINDINGS: The relative frequency and molecular phylogeny of Wolbachia, Microsporidia and Cardinium were determined of phlebotomine sand flies and mosquitoes in two regions from Colombia. Illumina Miseq using the 16S rRNA gene as a biomarker was conducted to examine the microbiota. Different percentages of natural infection by Wolbachia, Cardinium, and Microsporidia in phlebotomines and mosquitoes were detected. Phylogenetic analysis of Wolbachia shows putative new strains of Lutzomyia gomezi (wLgom), Brumptomyia hamata (wBrham), and a putative new group associated with Culex nigripalpus (Cnig) from the Andean region, located in Supergroup A and Supergroup B, respectively. The sequences of Microsporidia were obtained of Pi. pia and Cx. nigripalpus, which are located on phylogeny in the IV clade (terrestrial origin). The Cardinium of Tr. triramula and Ps. shannoni were located in group C next to Culicoides sequences while Cardinium of Mi. cayennensis formed two putative new subgroups of Cardinium in group A. In total were obtained 550 bacterial amplicon sequence variants (ASVs) and 189 taxa to the genus level. The microbiota profiles of Sand flies and mosquitoes showed mainly at the phylum level to Proteobacteria (67.6%), Firmicutes (17.9%) and Actinobacteria (7.4%). High percentages of relative abundance for Wolbachia (30%-83%) in Lu. gomezi, Ev. dubitans, Mi. micropyga, Br. hamata, and Cx. nigripalpus were found. ASVs assigned as Microsporidia were found in greater abundance in Pi. pia (23%) and Cx. nigripalpus (11%). An important finding is the detection of Rickettsia in Pi. pia (58,8%) and Bartonella sp. in Cx. nigripalpus.
CONCLUSIONS/SIGNIFICANCE: We found that Wolbachia infection significantly decreased the alpha diversity and negatively impacts the number of taxa on sand flies and Culex nigripalpus. The Principal Coordinate Analysis (PCoA) is consistent, which showed statistically significant differences (PERMANOVA, F = 2.4744; R2 = 0.18363; p-value = 0.007) between the microbiota of sand flies and mosquitoes depending on its origin, host and possibly for the abundance of some endosymbionts (Wolbachia, Rickettsia).
Fig 1. Geographic locations of sampling sites and proportion by department of insect vectors (Phlebotomine sand flies and mosquitoes) infected with Wolbachia, Cardinium and Microsporidia in Colombia.Link to the base layer of the map used: https://www.colombiaenmapas.gov.co/?e=-74.7117818345732,0.23307652371168444,-62.73668417832639,8.735414279337139,4686&b=dark-gray&u=0&t=2901&servicio=610.
Fig 2. Phylogenetic relationships of Wolbachia strains using Bayesian analysis and inferred with wsp sequences.The Wolbachia strains are identified by host species from which they were isolated (sand fllies symbol of green color; Culex symbol of orange color). Numbers in nodes represent Bayesian posterior probabilities. Reconstruction performed with MrBayes (version 3.0). The wMel positive control is indicated in red color. As out-group Wolbachia of Bemicia tabaci.
Fig 3. Bayesian inference and phylogenetic relationships of Microsporidian strains using sequences of the small subunit ribosomal DNA.The Microsporidian strains are identified by host species from which they were isolated (sand fly symbol of green color; Culex nigripalpus of orange color). Numbers in nodes represent Bayesian posterior probabilities. Reconstruction performed with MrBayes (version 3.0). Clades I–V are indicated. Two fungi were used as outgroups in the analysis (Conidiobolus coronatos and Basidiobolus ranarun). Taxa without GenBank accession numbers are original for this dataset.
Fig 4. Phylogenetic relationships of Cardinium strains using Bayesian analysis and based on 16S rDNA sequences.The Cardinium strains are identified by host species from which they were isolated (sand flies symbol of green color). Numbers in nodes represent Bayesian posterior probabilities. The reconstruction was performed using MrBayes (version 3.0). As an outgroup was used Candidatus Amoebophilus asiaticus. Taxa without GenBank accession numbers are original for this data set.
Fig 5. Neighbor-joining analysis of mitochondrial COI sequences among sand flies species (symbol of green color) and mosquitoes of genus Culex (symbol of orange color) from Colombia, based on the model of Kimura’s two-parameter model (K2P).Bootstrap support was estimated with 1000 replicas, only bootstrap values >50% being shown above the branch. As an outgroup was used Tipula maxima.
Fig 6. Microbiota composition and diversity of wild specimens of sand flies and Culex nigripalpus found with endosymbiont in several regions or departments from Colombia.A) Relative abundance of ASVs that were called to the taxonomic rank of genus. The ASVs with abundances above 1% of the rarefied count matrix were selected. See Table 4 for the nomenclature of samples in detail. NA: ASVs without taxonomic assignment.
Fig 7. Alpha diversity (intra-diversity) of bacterial composition using amplicon sequence variants (ASVs) in sand flies and Cx. nigripalpus from Colombia by ecoregion and presence of endosymbiont.a) Species richness was assessed by Chao1 (estimates diversity from abundance data), b) Observed OTU (sum of unique OTUs in each sample), c) Shannon-Wiener (sum of species proportion logarithms) and d) Simpson indexes. e) Alpha diversity with all indexes but associated with the presence of endosymbionts. Higher index values indicate richer and more diverse bacterial composition.
Fig 8. β-diversity analysis (between groups) of microbial communities associated with the groups of samples established of sand flies and Culex nigripalpus found with endosymbiont in several ecoregions from Colombia.a) Hierarchical clustering analysis of ASVs at the genus level. b) Principal Coordinate Analysis (PCoA) with ASVs at the genus level (Weighted Unifrac Distance, PERMANOVA, F = 2.4744; R2 = 0.18363; p-value = 0.007). c) Beta-diversity visualized using Non-metric Multidimensional Scaling (NMDS). The plot was obtained with Bray-Curtis Dissimilarity distances (PERMANOVA, F = 1.1429; R2 = 0.094118; p-value = 0.324; [NMDS] Stress = 0.11348).
Fig 9. Heatmap based on the microbiota composition at the genus level illustrating common and endemic bacterial community abundances according to insects, the presence of endosymbionts and categorization according to its importance as a vector.Hierarchical Ward’s linkage clustering based on Pearson’s correlation coefficient of the microbial taxa abundance. Red and blue colors represent positive and negative correlations, respectively. The color scale represents the scaled abundance of each variable, denoted as Z-score, red indicates high abundance, and blue indicating low abundance.
Fig 10. Linear discriminant analysis effect size (LEfSe) of gut microbiota in sand flies and Culex nigripalpus de Colombia.
Fig 11. The random forest analysis shows positive interactions and significant features among some taxa in the core microbiota in sand flies and Culex nigripalpus de Colombia.The top 25 of ASVs most abundant are considered. The y axis, from top to bottom, displays the taxa ranked by their importance or association with other ASV and ecoregion.
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