Recent African derivation of Chrysomya putoria from C. chloropyga and mitochondrial DNA paraphyly of cytochrome oxidase subunit one in blowflies of forensic importance

Chrysomya chloropyga (Wiedemann) and C. putoria (Wiedemann) (Diptera: Calliphoridae) are closely related Afrotropical blowflies that breed in carrion and latrines, reaching high density in association with humans and spreading to other continents. In some cases of human death, Chyrsomya specimens provide forensic clues. Because the immature stages of such flies are often difficult to identify taxonomically, it is useful to develop DNA-based tests for specimen identification. Therefore we attempted to distinguish between C. chloropyga and C. putoria using mitochondrial DNA (mtDNA) sequence data from a 593-bp region of the gene for cytochrome oxidase subunit one (COI). Twelve specimens from each species yielded a total of five haplotypes, none being unique to C. putoria. Therefore it was not possible to distinguish between the two species using this locus. Maximum parsimony analysis indicated paraphyletic C. chloropyga mtDNA with C. putoria nested therein. Based on these and previously published data, we infer that C. putoria diverged very recently from C. chloropyga

Genetic divergence in mitochondrial DNA of Anopheles nuneztovari (Diptera: Culicidae) from Brazil and Colombia

In the present study, we have examined the variability in Anopheles nuneztovari mitochondrial DNA of three populations from the Brazilian Amazon and one from western Colombia (Sitronela), using four restriction endonucleases (BclI, ClaI, HindIII, SstI). The haplotype diversity (h) was slightly elevated in all populations (0.5000 to 0.6765), whereas the nucleotide diversity (π) was lower in the Sitronela population (0.0029) and higher in populations from the Brazilian Amazon (0.0056 to 0.0098). The degree of sequence divergence (δ) estimated within the Brazilian Amazon and that in Sitronela (0.0329 to 0.0371) suggests that these geographic populations of A. nuneztovari may eventually constitute separate species. The low sequence divergence values among the three Brazilian Amazon populations (0.0012 to 0.0031) indicate that these populations are genetically similar. These results are consistent with those recently reported for allozymes of these same populations

Comparison Of Bacterial 16s Rrna Variable Regions For Microbiome Surveys Of Ticks

Ticks vector diverse pathogenic bacteria that are important to identify in public health and veterinary contexts. Technological advances in high throughput sequencing have given an unprecedented opportunity to comprehensively characterize bacterial associates of ticks, but recent studies have used different 16S rRNA variable regions and sequence read lengths with little consideration of whether they reveal the same bacterial diversity. We compare the effectiveness of bacterial surveys using three library preparations across nine 16S variable regions and a set of 12 tick specimens (Acari: Ixodidae). We identify the bacterial assemblages present in extractions from wild-collected Ixodes scapularis from two regions of Canada, and provide the first microbiome survey for Ixodes angustus. Four bacterial families accounted for most diversity, with Rickettsiaceae being replaced as most common by Enterobacteriaceae or Pseudomonadaceae in some I. scapularis, and Francisellaceae being most abundant in I. angustus. The commercially available Ion 16S kit, based on 6 amplicons representing 16S regions V2, V3, V4, V67, V8 and V9, gave the most comprehensive estimates of bacterial families, with the Ion V4 amplicon generally giving the highest estimated diversity. Sequencing of the V4 amplicon by the MR DNA commercial service also provided cost effective assays of tick microbiomes that were within the range of results from the Ion 16S kit. Subtraction of the number of reads found in an extraction control sample lowered estimates of the number of bacterial families by approximately half. Our study shows that diversity patterns obtained from 16S microbiome surveys depend on the amplicon and protocol used, demonstrating that more than one marker region is needed to provide reliable inferences. © 2017 Elsevier GmbH.8445346