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Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA.

ABSTRACT: BACKGROUND:Anopheles baimaii is a primary vector of human malaria in the forest settings of Southeast Asia including the north-eastern region of India. Here, the genetic population structure and the basic population genetic parameters of An. baimaii in north-east India were estimated using DNA sequences of the mitochondrial cytochrome oxidase sub unit II (COII) gene. METHODS:Anopheles baimaii were collected from 26 geo-referenced locations across the seven north-east Indian states and the COII gene was sequenced from 176 individuals across these sites. Fifty-seven COII sequences of An. baimaii from six locations in Bangladesh, Myanmar and Thailand from a previous study were added to this dataset. Altogether, 233 sequences were grouped into eight population groups, to facilitate analyses of genetic diversity, population structure and population history. RESULTS:A star-shaped median joining haplotype network, unimodal mismatch distribution and significantly negative neutrality tests indicated population expansion in An. baimaii with the start of expansion estimated to be ~0.243 million years before present (MYBP) in north-east India. The populations of An. baimaii from north-east India had the highest haplotype and nucleotide diversity with all other populations having a subset of this diversity, likely as the result of range expansion from north-east India. The north-east Indian populations were genetically distinct from those in Bangladesh, Myanmar and Thailand, indicating that mountains, such as the Arakan mountain range between north-east India and Myanmar, are a significant barrier to gene flow. Within north-east India, there was no genetic differentiation among populations with the exception of the Central 2 population in the Barail hills area that was significantly differentiated from other populations. CONCLUSIONS:The high genetic distinctiveness of the Central 2 population in the Barail hills area of the north-east India should be confirmed and its epidemiological significance further investigated. The lack of genetic population structure in the other north-east Indian populations likely reflects large population sizes of An. baimaii that, historically, were able to disperse through continuous forest habitats in the north-east India. Additional markers and analytical approaches are required to determine if recent deforestation is now preventing ongoing gene flow. Until such information is acquired, An. baimaii in north-east India should be treated as a single unit for the implementation of vector control measures.

SUBMITTER: Sarma DK

PROVIDER: S-EPMC3337289 | biostudies-literature | 2012 Mar

REPOSITORIES: biostudies-literature

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Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA.

Sarma Devojit K DK Prakash Anil A O'Loughlin Samantha M SM Bhattacharyya Dibya R DR Mohapatra Pradumnya K PK Bhattacharjee Kanta K Das Kanika K Singh Sweta S Sarma Nilanju P NP Ahmed Gias U GU Walton Catherine C Mahanta Jagadish J

Malaria journal 20120320

<h4>Background</h4>Anopheles baimaii is a primary vector of human malaria in the forest settings of Southeast Asia including the north-eastern region of India. Here, the genetic population structure and the basic population genetic parameters of An. baimaii in north-east India were estimated using DNA sequences of the mitochondrial cytochrome oxidase sub unit II (COII) gene.<h4>Methods</h4>Anopheles baimaii were collected from 26 geo-referenced locations across the seven north-east Indian states ...[more]

PMID: 22429500

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Project description:BACKGROUND:Although Sri Lanka is considered as a malaria-free nation, the threat of re-emergence of outbreaks still remains due to the high prevalence and abundance of malaria vectors. Analysis of population genetic structure of malaria vectors is considered to be one of the vital components in implementing successful vector control programmes. The present study was conducted to determine the population genetic structure of three abundant malaria vectors; Anopheles subpictus sensu lato (s.l.), Anopheles peditaneatus and Anopheles vagus from five administrative districts in two climatic zones; intermediate zone (Badulla and Kurunegala districts) and dry zone (Ampara, Batticoloa and Jaffna districts) of Sri Lanka using the mitochondrial gene, cytochrome c oxidase subunit I (COI). METHODS:Adult mosquitoes of An. subpictus s.l., An. peditaeniatus, and An. vagus were collected from five study sites located in five districts using cattle baited traps and backpack aspirators. Representative samples of each species that were morphologically confirmed were selected from each locality in generating COI sequences (>?6 good quality sequences per species per locality). RESULTS:Anopheles subpictus s.l. specimens collected during the study belonged to two sibling species; An. subpictus 'A' (from all study sites except from Jaffna) and An. subpictus 'B' (only from Jaffna). The results of haplotype and nucleotide diversity indices showed that all the three species are having high genetic diversity. Although a high significant pairwise difference was observed between An. subpictus 'A' and 'B' (Fst>?0.950, p?<?0.05), there were no significant genetic population structures within An. peditaeniatus, An. vagus and An. subpictus species A (p?>?0.05), indicating possible gene flow between these populations. CONCLUSIONS:Gene flow among the populations of An. peditaeniatus, An. vagus and An. subpictus species A was evident. Application of vector control measures against all mosquito species must be done with close monitoring since gene flow can assist the spread of insecticide resistance genes over a vast geographical area.

Project description:Intra-species genetic variability assessment is an effective tool in formulating genetic improvement and germplasm conservation strategies. Houttuynia cordata Thunb. is a semidomesticated medicinal herb consumed widely in traditional diet in North-Eastern India. In the present study, an effort has been made to assess the genetic diversity of H. cordata Thunb. from Brahmaputra valley of North-East India. A total of 545 genotypes from 18 populations of H. cordata Thunb. from four different regions, i.e. North-East, North-West, South-East and South-West, with respect to river Brahmaputra were collected and population genetic diversity and structure were analysed using ISSR molecular markers. Population genetic structure analysis using unweighted pair group method with averages (UPGMA)-based hierarchical cluster analysis, principal coordinate analysis (PCoA) and model-based clustering in STRUCTURE program revealed that the population of H. cordata Thunb. grouped according to regional distribution and forms four genetically distinct clusters. The analysis of molecular variance showed that differentiation among regions was significant with 60% genetic variation among region, 3% genetic variation among population within region and 37% genetic variation within population. We found wide variation in Nei's gene diversity (Hj) ranging from 0.07782 in Margherita population to 0.13634 in Barapani population. Furthermore, Nei's gene diversity within population (Nei's Hs) and total gene diversity (Ht) were found to be 0.1081 and 0.1769 respectively. The genetic differentiation among 18 population was high (Fst?=?0.3894; p?<?0.001) with relatively restricted gene flow (Nm?=?0.6564). Based on the result of this study, we suggest ex situ conservation could be an appropriate measure to adequately capture the total genetic diversity of H. cordata Thunb. populations of North-East India by selecting few individuals from different populations. Supplementary Information:The online version contains supplementary material available at 10.1007/s11105-020-01260-9.

Project description:BACKGROUND: Anopheles funestus s.s., one of the major malaria vectors in sub-Saharan Africa, belongs to a group of eleven African species that are morphologically similar at the adult stage, most of which do not transmit malaria. The population structure of An. funestus based on mitochondrial DNA data led to the description of two cryptic subdivisions, clade I widespread throughout Africa and clade II known only from Mozambique and Madagascar. In this study, we investigated five common members of the Anopheles funestus group in southern Africa in order to determine relationships within and between species. METHODS: A total of 155 specimens of An. funestus, An. parensis, An. vaneedeni, An. funestus-like and An. rivulorum from South Africa, Mozambique and Malawi were used for the study. The population genetic structure was assessed within and between populations using mitochondrial DNA. RESULTS: The phylogenetic trees revealed three main lineages: 1) An. rivulorum; 2) An. funestus-like clade I and An. parensis clade II; and 3) An. funestus clades I and II, An. funestus-like clade II, An. parensis clade I and An. vaneedeni clades I and II. Within An. funestus, 32 specimens from Mozambique consisted of 40.6% clade I and 59.4% clade II while all 21 individuals from Malawi were clade I. In the analysis of mitochondrial DNA sequences, there were 37 polymorphic sites and 9 fixed different nucleotides for ND5 and 21 polymorphic sites and 6 fixed different nucleotides for COI between the two An. funestus clades. The results for COI supported the ND5 analysis. CONCLUSION: This is the first report comparing An. funestus group species including An. funestus clades I and II and the new species An. funestus-like. Anopheles funestus clade I is separated from the rest of the members of the An. funestus subgroup and An. funestus-like is distinctly distributed from the other species in this study. However, there were two clades for An. funestus-like, An. parensis and An. vaneedeni. Further investigations are needed to determine what these results mean in terms of the specific status of the clades within each taxon and whether this has any epidemiological implications for malaria transmission.

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Dataset Information

Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA.

Publications

Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA.

Similar Datasets

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