• Catching malaria evolution in the act

    From ScienceDaily@1:317/3 to All on Wed Oct 13 21:30:40 2021
    Catching malaria evolution in the act

    Date:
    October 13, 2021
    Source:
    Texas Biomedical Research Institute
    Summary:
    Researchers can now detect brand new mutations in individual
    malaria parasites infecting humans. Such high resolution could
    help us understand how parasites develop drug resistance and evade
    immune responses, and suggest potential treatment targets.



    FULL STORY ========================================================================== Understanding how malaria parasites evolve after a human is bitten by an infected mosquito is very difficult. There can be billions of individual parasites in a patient's bloodstream and traditional genetic sequencing techniques can't identify the raw material for evolution: new mutations.


    ==========================================================================
    "If you want to understand if the parasites are related to each other,
    if they are all from one mosquito or multiple mosquito bites, and what
    novel mutations are emerging in an infection, then you have to bring
    it down to the individual genome level," says Assistant Professor Ian Cheeseman, Ph.D., and Co-lead of the Host-Pathogen Interactions Program
    at Texas Biomedical Research Institute.

    Thanks to a combination of advanced techniques, Cheeseman and his
    collaborators are now able to sequence the genomes of individual parasites found in the blood of infected patients. Notably, they can now do this
    even when the infection burden is very low, which can occur during
    asymptomatic infections. They describe their approach this month in the
    journal Cell Host & Microbe. Gaining this incredibly detailed view of
    malaria parasite genetics and evolution is expected to give researchers
    and drug companies ammunition to develop more effective treatments,
    vaccines or therapies.

    Malaria infects more than 200 million people a year, killing more than
    400,000 in 2019 -- most of them young children. Of the five malaria
    parasite species that infect humans, two are the most widespread:
    Plasmodium falciparum, which is the deadliest; and Plasmodium vivax,
    which is the leading cause of recurring malaria infections because it
    can lie dormant in the liver and reemerge later.

    "We were really excited to understand how this dormant liver stage
    might impact genetic variation and evolution in a P. vivax infection,"
    says co-first paper author Aliou Dia, Ph.D., a postdoctoral researcher
    in Cheeseman's lab who is now at the University of Maryland School
    of Medicine.

    The challenge is that when P. vivax does emerge, it only infects very
    young red blood cells, so parasites are rare in the blood. Analyzing
    such low levels of infection is the microbiology equivalent of finding
    a needle in a haystack.



    ==========================================================================
    The scientists start with red blood cells, which become slightly magnetic
    when infected with malaria parasites. They used a high-powered magnet
    to separate the infected red blood cells from uninfected cells. The
    infected cells were then run through a machine called a flow cytometer,
    which uses a laser and fluorescent tags to detect if there is indeed
    parasite DNA present. Cells with parasite DNA are plopped one by one
    into test wells and ultimately run through a genetic sequencing machine
    to decode each individual parasite genome.

    Single cell sequencing enables the scientists to precisely compare
    individual parasite genomes to one another to determine how related they
    are to each other. They can also really dig down and pinpoint single differences in the genetic code -- say an A is changed to a T -- to see
    what happened since the parasite infected that patient.

    "We would expect these brand-new mutations to be scattered randomly
    throughout the genome," Cheeseman says. "Instead, we find they are
    often targeting a gene family that controls transcription in malaria."
    But that's not the only notable thing about the results. What really
    excites Cheeseman is that when the team compared single cell sequencing
    data for P.

    vivax and P. falciparum, the same transcription gene family contained
    the majority of new mutations for both species.

    "We have two different species of malaria from two different parts of
    the world, Thailand and Malawi," he says. "When we see the same thing
    happening independently in different species, this is an example of
    convergent evolution." In other words, similar processes might be
    shaping similar mutation patterns in both species, even though their
    last common ancestor was millions of years ago.

    The team does not know yet what impact the mutations have on the parasite
    and its ability to persist and cause damage in human hosts. The mutations
    may be critical for survival, or something like drug resistance, or may
    reveal those genes are unimportant.

    "We don't know what these mutations are doing," Cheeseman
    says. "But the fact that they are targeting what is
    seen to be a fairly fundamental part of the parasite
    lifecycle is interesting and worthy of a lot of follow up." ========================================================================== Story Source: Materials provided by
    Texas_Biomedical_Research_Institute. Note: Content may be edited for
    style and length.


    ========================================================================== Journal Reference:
    1. Aliou Dia, Catherine Jett, Simon G. Trevino, Cindy S. Chu, Kanlaya
    Sriprawat, Timothy J.C. Anderson, Franc,ois Nosten, Ian
    H. Cheeseman.

    Single-genome sequencing reveals within-host evolution of
    human malaria parasites. Cell Host & Microbe, 2021; DOI:
    10.1016/j.chom.2021.08.009 ==========================================================================

    Link to news story: https://www.sciencedaily.com/releases/2021/10/211013122728.htm

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