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As a volunteer physician in a small hospital in Nigeria 30 years ago, I was bitten by lots of mosquitoes and soon came down with headache, chills, fever, and muscle aches. It was malaria. Fortunately, the drug available to me then was effective, but I was pretty sick for a few days. Since that time, malarial drug resistance has become steadily more widespread. In fact, the treatment that cured me would be of little use today. Combination drug therapies including artemisinin have been introduced to take the place of the older drugs , but experts are concerned the mosquito-borne parasites that cause malaria are showing signs of drug resistance again.
So, researchers have been searching the genome of Plasmodium falciparum, the most-lethal species of the malaria parasite, for potentially better targets for drug or vaccine development. You wouldn’t think such work would be too tough because the genome of P. falciparum was sequenced more than 15 years ago . Yet it’s proven to be a major challenge because the genetic blueprint of this protozoan parasite has an unusual bias towards two nucleotides (adenine and thymine), which makes it difficult to use standard research tools to study the functions of its genes.
Now, using a creative new spin on an old technique, an NIH-funded research team has solved this difficult problem and, for the first time, completely characterized the genes in the P. falciparum genome . Their work identified 2,680 genes essential to P. falciparum’s growth and survival in red blood cells, where it does the most damage in humans. This gene list will serve as an important guide in the years ahead as researchers seek to identify the equivalent of a malarial Achilles heel, and use that to develop new and better ways to fight this deadly tropical disease.
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Tags: adenine, antimalarial drugs, drug development, drug resistance, essential genes, genomics, global health, jumping genes, malaria, mosquito, mosquito-borne illnesses, multi-drug resistance, neglected diseases, Nigeria, P. falciparum, P. falciparum mutants, parasite, Plasmodium, Plasmodium falciparum, thymine, transposons, tropical diseases, World Health Assembly
You may have worked on constructing your family tree, perhaps listing your ancestry back to your great-grandparents. Or with so many public records now available online, you may have even uncovered enough information to discover some unexpected long-lost relatives. Or maybe you’ve even submitted a DNA sample to one of the commercial sources to see what you could learn about your ancestry. But just how big can a family tree grow using today’s genealogical tools?
A recent paper offers a truly eye-opening answer. With permission to download the publicly available, online profiles of 86 million genealogy hobbyists, most of European descent, the researchers assembled more than 5 million family trees. The largest totaled more than 13 million people! By merging each tree from the crowd-sourced and public data, including the relatively modest 6,000-person seedling shown above, the researchers were able to go back 11 generations on average to the 15th century and the days of Christopher Columbus. Doubly exciting, these large datasets offer a powerful new resource to study human health, having already provided some novel insights into our family structures, genes, and longevity.
Tags: All of Us Research Program, big data, Christopher Columbus, citizen science, computational genomics, crowdsourcing, data science, DNA Land, family studies, family tree, genealogy, genetics, Geni.com, genomics, human ancestry, longevity, marriage, Second Industrial Revolution