Evidence of new species for malaria vector Anopheles nuneztovari sensu lato in the Brazilian Amazon region

Autor: Antônio Saulo Cunha-Machado, José Ferreira Saraiva, Vera Margarete Scarpassa
Jazyk: angličtina
Předmět:
0301 basic medicine
Genbank
Plasmodium
Genetic Distance
Lineage (evolution)
New Species
Population genetics
Molecular entomology
Monophyly
0302 clinical medicine
Haplotype
Anopheles Nuneztovari
Disease Carrier
Human Tissue
Population Structure
Phylogeny
Phylogenetic tree
Cytochrome C Oxidase
Correspondence Analysis
Classification
Infectious Diseases
Genetic Variability
Insect Proteins
Insect Vector
Brazil
Human
Dna Sequence
Species complex
Maximum Likelihood Method
Amazona
Microsatellite Dna
030231 tropical medicine
Major Clinical Study
Zoology
Biology
Evolutionary genetics
Electron Transport Complex IV
03 medical and health sciences
Anopheles
Genetics
Animals
Microsatellite Marker
Genetic variability
Genetic diversity
Animal
Research
Brasil
Cryptic species complex
Bayes Theorem
Sequence Analysis
DNA

Sequence Analysis
Dna

Malaria
Insect Vectors
Electron Transport Complex Iv
030104 developmental biology
Genetics
Population

Metabolism
Genetic distance
Haplotypes
Malaria vector
Parasitology
Microsatellite Repeats
Zdroj: Repositório Institucional do INPA
Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
Malaria Journal
ISSN: 1475-2875
DOI: 10.1186/s12936-016-1217-6
Popis: Background Anopheles nuneztovari sensu lato comprises cryptic species in northern South America, and the Brazilian populations encompass distinct genetic lineages within the Brazilian Amazon region. This study investigated, based on two molecular markers, whether these lineages might actually deserve species status. Methods Specimens were collected in five localities of the Brazilian Amazon, including Manaus, Careiro Castanho and Autazes, in the State of Amazonas; Tucuruí, in the State of Pará; and Abacate da Pedreira, in the State of Amapá, and analysed for the COI gene (Barcode region) and 12 microsatellite loci. Phylogenetic analyses were performed using the maximum likelihood (ML) approach. Intra and inter samples genetic diversity were estimated using population genetics analyses, and the genetic groups were identified by means of the ML, Bayesian and factorial correspondence analyses and the Bayesian analysis of population structure. Results The Barcode region dataset (N = 103) generated 27 haplotypes. The haplotype network suggested three lineages. The ML tree retrieved five monophyletic groups. Group I clustered all specimens from Manaus and Careiro Castanho, the majority of Autazes and a few from Abacate da Pedreira. Group II clustered most of the specimens from Abacate da Pedreira and a few from Autazes and Tucuruí. Group III clustered only specimens from Tucuruí (lineage III), strongly supported (97 %). Groups IV and V clustered specimens of A. nuneztovaris.s. and A. dunhami, strongly (98 %) and weakly (70 %) supported, respectively. In the second phylogenetic analysis, the sequences from GenBank, identified as A. goeldii, clustered to groups I and II, but not to group III. Genetic distances (Kimura-2 parameters) among the groups ranged from 1.60 % (between I and II) to 2.32 % (between I and III). Microsatellite data revealed very high intra-population genetic variability. Genetic distances showed the highest and significant values (P = 0.005) between Tucuruí and all the other samples, and between Abacate da Pedreira and all the other samples. Genetic distances, Bayesian (Structure and BAPS) analyses and FCA suggested three distinct biological groups, supporting the barcode region results. Conclusions The two markers revealed three genetic lineages for A. nuneztovaris.l. in the Brazilian Amazon region. Lineages I and II may represent genetically distinct groups or species within A. goeldii. Lineage III may represent a new species, distinct from the A. goeldii group, and may be the most ancestral in the Brazilian Amazon. They may have differences in Plasmodium susceptibility and should therefore be investigated further. Electronic supplementary material The online version of this article (doi:10.1186/s12936-016-1217-6) contains supplementary material, which is available to authorized users.
Databáze: OpenAIRE