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How Comparative Genomics Can Help Find the Best Treatments for Malaria

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Manage episode 445312355 series 3531530
Content provided by Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

'Comparative genomics' helps identify genes that can serve as targets for future drugs and vaccines.

Transcript

Not all parasites are alike. Genetic mutations mean that malaria parasites evolve differently in different regions – and even within the same region. One species thought to be particularly genetically diverse is Plasmodium vivax. It’s the second most common species of malaria, found in South East Asia, South America, and some parts of Africa. In Ethiopia, 20% of malaria cases are thought to be caused by P. vivax. In a new paper, scientists made a ‘reference genome’ from a sample of P. vivax in Ethiopia. They collected blood from an infected patient, extracted the DNA, and ‘read’ its fragments to form the parasite genome. This allows scientists to compare P. vivax samples across regions – and understand their similarities and differences. Importantly, this study of ‘comparative genomics’ ie comparing genomes will help identify the genes that stay the same – the conserved genes – and those which are different - the unique genes -which could serve as targets for future drugs and vaccines.

Source

Assembled genome of an Ethiopian Plasmodium vivax isolate generated using GridION long-read technology

About The Podcast

The Johns Hopkins Malaria Minute podcast is produced by the Johns Hopkins Malaria Research Institute to highlight impactful malaria research and to share it with the global community.

  continue reading

97 episodes

Artwork
iconShare
 
Manage episode 445312355 series 3531530
Content provided by Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Johns Hopkins Malaria Research Institute and Johns Hopkins Bloomberg School of Public Health or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

'Comparative genomics' helps identify genes that can serve as targets for future drugs and vaccines.

Transcript

Not all parasites are alike. Genetic mutations mean that malaria parasites evolve differently in different regions – and even within the same region. One species thought to be particularly genetically diverse is Plasmodium vivax. It’s the second most common species of malaria, found in South East Asia, South America, and some parts of Africa. In Ethiopia, 20% of malaria cases are thought to be caused by P. vivax. In a new paper, scientists made a ‘reference genome’ from a sample of P. vivax in Ethiopia. They collected blood from an infected patient, extracted the DNA, and ‘read’ its fragments to form the parasite genome. This allows scientists to compare P. vivax samples across regions – and understand their similarities and differences. Importantly, this study of ‘comparative genomics’ ie comparing genomes will help identify the genes that stay the same – the conserved genes – and those which are different - the unique genes -which could serve as targets for future drugs and vaccines.

Source

Assembled genome of an Ethiopian Plasmodium vivax isolate generated using GridION long-read technology

About The Podcast

The Johns Hopkins Malaria Minute podcast is produced by the Johns Hopkins Malaria Research Institute to highlight impactful malaria research and to share it with the global community.

  continue reading

97 episodes

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