4.7 Article

Mechanics of microtubule organizing center clustering and spindle positioning in budding yeast Cryptococcus neoformans

期刊

PHYSICAL REVIEW E
卷 104, 期 3, 页码 -

出版社

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevE.104.034402

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资金

  1. SERB (Science and Engineering Research Board),Department of Science and Technology (DST), India [EMR/2017/001346]
  2. Tata Innovation Fellowship [BT/HRD/35/01/03/2017]
  3. J.C. Bose National Fellowship from Science and Engineering Research Board (SERB), Government of India [JCB/2020/000021]
  4. SERB [CRG/2019/005549]
  5. University Grants Commission (UGC), India
  6. INSPIRE program DST, India [IF131156]
  7. Council of Scientific & Industrial Research (CSIR), India [09/733 (0253) /219-EMR-I, 9/733 (0161) /2011-EMR-I]
  8. JNCASR, India

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The dynamic process of mitotic spindle assembly is complex and involves multiple inter-dependent interactions. In the fungal kingdom, multiple visible microtubule organizing centers coalesce into a single focus before forming the mitotic spindle, promoting MTOC clustering through a search and capture model. Various mechanisms, including interactions between cMTs and the cell cortex, as well as inter-cMT coupling, facilitate MTOC clustering within a physiological time limit.
The dynamic process of mitotic spindle assembly depends on multitudes of inter-dependent interactions involving kinetochores (KTs), microtubules (MTs), spindle pole bodies (SPBs), and molecular motors. Before forming the mitotic spindle, multiple visible microtubule organizing centers (MTOCs) coalesce into a single focus to serve as an SPB in the pathogenic budding yeast, Cryptococcus neoformans. To explain this unusual phenomenon in the fungal kingdom, we propose a search and capture model, in which cytoplasmic MTs (cMTs) nucleated by MTOCs grow and capture each other to promote MTOC clustering. Our quantitative modeling identifies multiple redundant mechanisms mediated by a combination of cMT-cell cortex interactions and inter-cMT coupling to facilitate MTOC clustering within the physiological time limit as determined by timelapse live-cell microscopy. Besides, we screen various possible mechanisms by computational modeling and propose optimal conditions that favor proper spindle positioning-a critical determinant for timely chromosome segregation. These analyses also reveal that a combined effect of MT buckling, dynein pull, and cortical push maintains spatiotemporal spindle localization.

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