20
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      An Intrinsic Oscillator Drives the Blood Stage Cycle of the Malaria Parasite, Plasmodium falciparum

      research-article

      Read this article at

      ScienceOpenPublisherPMC
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The blood-stage infection of the malaria parasite, Plasmodium falciparum, exhibits ts a48-hour developmental cycle that culminates in the synchronous release of parasites from red blood cells, triggering 48-hour fever cycles in the host. This cycle could be driven extrinsically by host circadian processes, or by a parasite-intrinsic oscillator. To distinguish between hypotheses, we examined the P. falciparum cycle in an in vitro culture system and show that the parasite has molecular signatures associated with circadian and cell-cycle oscillators. Each of four strains examined has a unique period, indicating strain-intrinsic period control. Finally, we demonstrate that parasites have low cell-to-cell variance in cycle period, on par with a circadian oscillator. We conclude that an intrinsic oscillator maintains Plasmodium’s rhythmic life cycle.

          One Sentence Summary:

          Periodicity of the malaria parasite does not require rhythmic cues from the host, but rather from an intrinsic parasite oscillator.

          Related collections

          Most cited references34

          • Record: found
          • Abstract: found
          • Article: not found

          Discovery of gene function by expression profiling of the malaria parasite life cycle.

          The completion of the genome sequence for Plasmodium falciparum, the species responsible for most malaria human deaths, has the potential to reveal hundreds of new drug targets and proteins involved in pathogenesis. However, only approximately 35% of the genes code for proteins with an identifiable function. The absence of routine genetic tools for studying Plasmodium parasites suggests that this number is unlikely to change quickly if conventional serial methods are used to characterize encoded proteins. Here, we use a high-density oligonucleotide array to generate expression profiles of human and mosquito stages of the malaria parasite's life cycle. Genes with highly correlated levels and temporal patterns of expression were often involved in similar functions or cellular processes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Circadian Clocks in Human Red Blood Cells

            Summary Circadian (~24 hour) clocks are fundamentally important for coordinated physiology in organisms as diverse as cyanobacteria and humans. All current models of the clockwork in eukaryotic cells are based on transcription-translation feedback loops. Non-transcriptional mechanisms in the clockwork have been difficult to study in mammalian systems. We circumvented these problems by developing novel assays using human red blood cells (RBCs), which have no nucleus (or DNA), and therefore cannot perform transcription. Our results show that transcription is, in fact, not required for circadian oscillations in humans, and that non-transcriptional events appear sufficient to sustain cellular circadian rhythms. Using RBCs, we found that peroxiredoxins, highly conserved antioxidant proteins, undergo ~24 hour redox cycles, which persist for many days under constant conditions (i.e. in the absence of external cues). Moreover, these rhythms are entrainable (i.e. tunable by environmental stimuli), and temperature-compensated, both key features of circadian rhythms. We anticipate our findings will facilitate more sophisticated cellular clock models, highlighting the interdependency of transcriptional and non-transcriptional oscillations in potentially all eukaryotic cells.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Bioluminescence imaging of individual fibroblasts reveals persistent, independently phased circadian rhythms of clock gene expression.

              Circadian (ca. 24 hr) oscillations in expression of mammalian "clock genes" are found not only in the suprachiasmatic nucleus (SCN), the central circadian pacemaker, but also in peripheral tissues. Under constant conditions in vitro, however, rhythms of peripheral tissue explants or immortalized cells damp partially or completely. It is unknown whether this reflects an inability of peripheral cells to sustain rhythms, as SCN neurons can, or a loss of synchrony among cells. Using bioluminescence imaging of Rat-1 fibroblasts transfected with a Bmal1::luc plasmid and primary fibroblasts dissociated from mPer2(Luciferase-SV40) knockin mice, we monitored single-cell circadian rhythms of clock gene expression for 1-2 weeks. We found that single fibroblasts can oscillate robustly and independently with undiminished amplitude and diverse circadian periods. Cells were partially synchronized by medium changes at the start of an experiment, but due to different intrinsic periods, their phases became randomly distributed after several days. Closely spaced cells in the same culture did not have similar phases, implying a lack of functional coupling among cells. Thus, like SCN neurons, single fibroblasts can function as independent circadian oscillators; however, lack of oscillator coupling in dissociated cell cultures leads to a loss of synchrony among individual cells and damping of the ensemble rhythm at the population level.
                Bookmark

                Author and article information

                Journal
                0404511
                7473
                Science
                Science
                Science (New York, N.Y.)
                0036-8075
                1095-9203
                3 September 2020
                15 May 2020
                25 September 2020
                : 368
                : 6492
                : 754-759
                Affiliations
                [1 ]Department of Biology, Duke University
                [2 ]Department of Mathematical Sciences, Florida Atlantic University
                [3 ]Malaria Biologics Branch, Walter Reed Army Institute of Research
                [4 ]Department of Mathematical Sciences, Montana State University
                [5 ]Program in Computational Biology and Bioinformatics, Duke University
                [6 ]Department of Mathematics, Duke University
                [7 ]Department of Medicine, Duke University
                Author notes
                [†]

                Currently TTMS Inc.

                [‡]

                Currently Institute for Quantum Science and Technology, University of Calgary, Alberta

                [§]

                Currently Department of Molecular & Systems Biology, Dartmouth

                [|]

                Currently Mimetics LLC

                [¶]

                Currently Armed Forces Research Institute of Medical Sciences

                Author contributions: SBH and JH conceived of the study. SBH, JH, ARL, NCW, and GC collaborated on experimental design. NCW, GC, and JKM performed parasite synchrony/release time-series experiments. ARL processed samples for RNA-seq. CMK designed the RNA-seq alignment and analysis pipeline and performed preliminary analyses. LMS analyzed the transcriptomes for periodicity, presence of harmonics, and qualitative ordering conservation. KER developed the data wrapping approach and assisted in period length estimates. TG, RM, and BC developed quantitative partial ordering approach and determined quantitative ordering conservation. FM constructed models of cell-to-cell variance and determined the effect on synchrony loss. LMS, SBH, FM, and BC wrote the manuscript.

                [* ]Correspondence to: steve.haase@ 123456duke.edu
                Article
                PMC7518718 PMC7518718 7518718 nihpa1624992
                10.1126/science.aba4357
                7518718
                32409472
                62fed9c3-81c4-42ce-9cc8-97646c1830ab
                History
                Categories
                Article

                Comments

                Comment on this article