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Exploring Tr1-regulated transcription networks underpinning adaptation of pathogenic Anaplasma to the tick host

Exploring Tr1-regulated transcription networks underpinning adaptation of pathogenic Anaplasma to the tick host
探索 Tr1 调节的转录网络支持致病性无形体对蜱宿主的适应
批准号:
10727435
负责人:
Jason Michael Park
金额:
$21.54万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2023
资助国家:
美国
项目状态:
未结题
起止时间:
2023-07-01 至 2025-06-30

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Project Summary Tick-borne diseases are on the increase and are responsible for nearly all of the vector-transmitted disease in the US. Vector-borne pathogens face the dual challenge of adaptation to two very different host environments: the arthropod vector and the mammalian host. Ticks contain distinct physiological cues including disparities in body temperature, nutrient availability, physiological architecture, and unique immunological pressures. Once in the tick, A. phagocytophilum must further adapt to construct a replicative niche within the arthropod’s cells. In response to the tick environment, A. phagocytophilum differentially transcribes 41% of its genes when infecting tick cells in comparison to mammalian cell culture. It is not known what controls this extensive reprogramming or how it facilitates A. phagocytophilum adaptation to the tick. One predicted transcription factor, tr1, displays the highest tick-specific expression of all A. phagocytophilum genes. Our structural modeling identifies Tr1 as a homo-dimeric helix-turn-helix DNA binding protein in the xenobiotic response element family of transcription factors. Disruption of tr1 by transposon insertion had no impact on bacterial burden in mice or growth in human cell lines. However, A. phagocytophilum lacking tr1 was greatly attenuated for acquisition by ticks and is unable to survival in tick cells. Given the importance of Tr1 for survival in the arthropod vector and its predicted role as a transcriptional switch, we hypothesize that: Tr1 operates as a master regulator for tick adaptation by orchestrating the expression of tick-specific gene networks. In this study we will identify the DNA sequences bound by Tr1 and its mode of transcription regulation. Further, we will identify how Tr1 contributes to completion of the tick cell infection cycle and measure how Tr1 remodels the A. phagocytophilum transcriptome during tick cell infection. Revealing how A. phagocytophilum adapts to infect tick cells will open the door to development of vector targeted interventions to reduce transmissibility of the pathogen.
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