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...
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ftdoajarticles:oai:doaj.org/article:2088e37703314ba2b4175c8da65ed780 2023-05-15T15:18:19+02:00 Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA Sarma Devojit K Prakash Anil O'Loughlin Samantha M Bhattacharyya Dibya R Mohapatra Pradumnya K Bhattacharjee Kanta Das Kanika Singh Sweta Sarma Nilanju P Ahmed Gias U Walton Catherine Mahanta Jagadish 2012-03-01T00:00:00Z https://doi.org/10.1186/1475-2875-11-76 https://doaj.org/article/2088e37703314ba2b4175c8da65ed780 EN eng BMC http://www.malariajournal.com/content/11/1/76 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-11-76 1475-2875 https://doaj.org/article/2088e37703314ba2b4175c8da65ed780 Malaria Journal, Vol 11, Iss 1, p 76 (2012) Anopheles baimaii Cytochrome oxidase II Southeast Asia Malaria vector North-east India Population genetics Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2012 ftdoajarticles https://doi.org/10.1186/1475-2875-11-76 2022-12-30T22:47:06Z 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 ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Indian Malaria Journal 11 1 76 |
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ftdoajarticles |
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English |
topic |
Anopheles baimaii Cytochrome oxidase II Southeast Asia Malaria vector North-east India Population genetics Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
spellingShingle |
Anopheles baimaii Cytochrome oxidase II Southeast Asia Malaria vector North-east India Population genetics Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 Sarma Devojit K Prakash Anil O'Loughlin Samantha M Bhattacharyya Dibya R Mohapatra Pradumnya K Bhattacharjee Kanta Das Kanika Singh Sweta Sarma Nilanju P Ahmed Gias U Walton Catherine Mahanta Jagadish Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
topic_facet |
Anopheles baimaii Cytochrome oxidase II Southeast Asia Malaria vector North-east India Population genetics Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 |
description |
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 ... |
format |
Article in Journal/Newspaper |
author |
Sarma Devojit K Prakash Anil O'Loughlin Samantha M Bhattacharyya Dibya R Mohapatra Pradumnya K Bhattacharjee Kanta Das Kanika Singh Sweta Sarma Nilanju P Ahmed Gias U Walton Catherine Mahanta Jagadish |
author_facet |
Sarma Devojit K Prakash Anil O'Loughlin Samantha M Bhattacharyya Dibya R Mohapatra Pradumnya K Bhattacharjee Kanta Das Kanika Singh Sweta Sarma Nilanju P Ahmed Gias U Walton Catherine Mahanta Jagadish |
author_sort |
Sarma Devojit K |
title |
Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
title_short |
Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
title_full |
Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
title_fullStr |
Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
title_full_unstemmed |
Genetic population structure of the malaria vector Anopheles baimaii in north-east India using mitochondrial DNA |
title_sort |
genetic population structure of the malaria vector anopheles baimaii in north-east india using mitochondrial dna |
publisher |
BMC |
publishDate |
2012 |
url |
https://doi.org/10.1186/1475-2875-11-76 https://doaj.org/article/2088e37703314ba2b4175c8da65ed780 |
geographic |
Arctic Indian |
geographic_facet |
Arctic Indian |
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Arctic |
genre_facet |
Arctic |
op_source |
Malaria Journal, Vol 11, Iss 1, p 76 (2012) |
op_relation |
http://www.malariajournal.com/content/11/1/76 https://doaj.org/toc/1475-2875 doi:10.1186/1475-2875-11-76 1475-2875 https://doaj.org/article/2088e37703314ba2b4175c8da65ed780 |
op_doi |
https://doi.org/10.1186/1475-2875-11-76 |
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Malaria Journal |
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11 |
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1 |
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76 |
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1766348520301789184 |