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植物膜轉運的模型預測、實驗驗證及生理學影響

瀏覽次數:2839 發布日期:2010-3-3  來源:本站 僅供參考,謝絕轉載,否則責任自負

細胞膜是控制細胞振蕩的中心,細胞的振蕩在植物界中十分普遍。例如質膜電位的周期性變化、液泡電位及電流的波動、質外體的濃度變化、胞內pH及Ca2+的波動、不同細胞類型質膜跨膜離子流振蕩等。然而,目前除了大致了解膜和離子流直接或間接參與振蕩過程,研究人員對這種振蕩的生理學功能仍然知之甚少。

Shabala等研究人員應用反饋受控振蕩模型提出了許多設想:(1)振蕩周期強烈依賴于質子泵活性;(2)質子泵活性受抑制時,振蕩停止;(3)H+和K+流之間存在方向性的轉變;(4)細胞膜上有對外界溫度和離子濃度變化感受的“窗口”,對外界不同的變化細胞表現為不同的振蕩模式;(5)振蕩特性與細胞大小緊密相關等。他們使用“非損傷微測技術”直接測定了不同環境條件下植物根、葉片及真菌細胞跨膜的H+、K+、Ca2+O2的振蕩規律。通過對模型預測及實驗測定數據的比較,用實驗成功地證實了之前設想的正確性。

此項研究結合模型預測及實驗數據,根據植物對鹽、溫度、滲透、低氧及pH脅迫的適應性反應,對振蕩的生理學功能作了較為清晰的闡述。這個模型可以指導篩選抗鹽、抗澇等方面的育種工作。

點擊查看大圖
圖注:
上圖:玉米根部O2流的振蕩變化作為O2利用情況的指標。A:不同氧氣濃度下O2流的振蕩規律;B:O2流振蕩對外界氧氣的依賴性。

關鍵詞適應(Adaptation);離子流(Ion flux);膜(Membrane)
參考文獻:Shabala S et al. . J. Exp. Bot. .2006, 57: 171-184.
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Oscillations in plant membrane transport model predictions, experimental validation, and physiological implications

Abstract

Although oscillations in membrane-transport activity are ubiquitous in plants, the ionic mechanisms of ultradian oscillations in plant cells remain largely unknown, despite much phenomenological data. The physiological role of such oscillations is also the subject of much speculation. Over the last decade, much experimental evidence showing oscillations in net ion fluxes across the plasma membrane of plant cells has been accumulated using the non-invasive MIFE technique. In this study, a recently proposed feedback-controlled oscillatory model was used. The model adequately describes the observed ion flux oscillations within the minute range of periods and predicts: (i) strong dependence of the period of oscillations on the rate constants for the H+ pump; (ii) a substantial phase shift between oscillations in net H+ and K+ fluxes; (iii) cessation of oscillations when H+ pump activity is suppressed; (iv) the existence of some ‘window’ of external temperatures and ionic concentrations, where nondamped oscillations are observed: outside this range, even small changes in external parameters lead to progressive damping and aperiodic behaviour; (v) frequency encoding of environmental information by oscillatory patterns; and (vi) strong dependence of oscillatory characteristics on cell size. All these predictions were successfully confirmed by direct experimental observations, when net ion fluxes were measured from root and leaf tissues of various plant species, or from single cells. Because oscillatory behaviour is inherent in feedback control systems having phase shifts, it is argued from this model that suitable conditions will allow oscillations in any cell or tissue. The possible physiological role of such oscillations is discussed in the context of plant adaptive responses to salinity, temperature,osmotic, hypoxia, and pH stresses.

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