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Geographic genetic profiling of human Plasmodium malaria

Geographic genetic profiling of human Plasmodium malaria
人类疟原虫疟疾的地理遗传图谱
批准号:
MR/M01360X/1
负责人:
Taane Clark
金额:
$43.18万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2015
资助国家:
英国
项目状态:
已结题
起止时间:
2015 至 --

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中文摘要
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英文摘要
Malaria caused by Plasmodium falciparum kills about 600,000 people per year, and increased population mobility through international air travel carries further risks of re-introducing parasites to elimination areas and dispersing drug resistant parasites to new regions. A simple genetic marker that quickly and accurately identifies the geographic origin of infections would be a valuable tool for locating the source of outbreaks, and spotting the spread of drug resistant parasites from Asia into Africa. Genetic markers have proved extremely valuable in tracking and eradicating diseases, such as Polio. However, the previous candidates for malaria genetic barcodes have relied on identifying DNA markers found in the parasite nucleus, which shows too much genetic variation between individual parasites to be used accurately. Now, DNA sequences found outside the nucleus in organelles called the mitochondria and the apicoplast have been analysed. These are only inherited through maternal lines and therefore much more stable over generations than nuclear DNA sequences. The research outlined in this methodology proposal will create computational tools which will help to exploit use of mitochondria and the apicoplast sequences to create reliable genetic barcodes for tracking the geographical movement of malaria in an operational context. Human malaria can be caused by one of 6 different Plasmodium species. We will develop genetic barcodes based on mitochondria and apicoplast sequences for each of the 6 species. We will develop new analytical approaches which can discriminate the different species even in mixed infections. We will also refine the exisiting barcoding methodology for discrimninating between infections originating from geographically distinct populations of the same species. Most crucially we will develop analytical software which can infer barcodes from complex mixed infections which are commonly found in malaria patients in many parts of the world.We will create a publically available online resource to facilitate the widespread use of barcoding. It will be of practical use to malaria control agencies and research groups worldwide.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1038/s41598-018-33767-3
发表时间: 2018-10-18
期刊: Scientific reports
影响因子: 4.6
作者: [Benavente ED, Oresegun DR, de Sessions PF, Walker EM, Roper C, Dombrowski JG, de Souza RM, Marinho CRF, Sutherland CJ, Hibberd ML, Mohareb F, Baker DA, Clark TG, Campino S]
通讯作者: Campino S
DOI: 10.1038/srep42225
发表时间: 2017-02-08
期刊: Scientific reports
影响因子: 4.6
作者: [Andreu N, Phelan J, de Sessions PF, Cliff JM, Clark TG, Hibberd ML]
通讯作者: Hibberd ML
DOI: 10.1038/s41467-018-04965-4
发表时间: 2018-07-03
期刊: Nature communications
影响因子: 16.6
作者: [Auburn S, Benavente ED, Miotto O, Pearson RD, Amato R, Grigg MJ, Barber BE, William T, Handayuni I, Marfurt J, Trimarsanto H, Noviyanti R, Sriprawat K, Nosten F, Campino S, Clark TG, Anstey NM, Kwiatkowski DP, Price RN]
通讯作者: Price RN
DOI: 10.1038/s41598-023-32336-7
发表时间: 2023-04-05
期刊: SCIENTIFIC REPORTS
影响因子: 4.6
作者: [Acford-Palmer, Holly, Phelan, Jody E., Tadesse, Fitsum G., Kristan, Mojca, Collins, Emma, Spadar, Anton, Walker, Thomas, Bousema, Teun, Messenger, Louisa A., Clark, Taane G., Campino, Susana]
通讯作者: Campino, Susana
AI assisted genomic profiling for the personalisation of treatment and control of infections
Using whole genome sequencing to reveal malaria parasite genetic diversity and drug resistance in Vietnam
Serological tools for COVID-19 control and vaccine roll-out in Southeast Asia
A lung-oriented controlled human infection model using live BCG to evaluate tuberculosis immunopathogenicity and vaccine efficacy (TB-CHIM).
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