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OJIP曲線和JIP-test在植物干旱脅迫研究中的應用

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1 總述

干旱脅迫對植物光合效率產(chǎn)生負面影響，干擾氣孔功能，影響同化物質的積累和運輸[1,2,3,4,5]。植物受到干旱脅迫會激活各種機制避免缺水造成的負面影響[6,7]。缺水限制了植物碳代謝和光反應產(chǎn)物的利用，使得大量吸收的光能不能被轉化為化學能，從而導致PSⅡ受到破壞[3,8,9,10]。此外水分限制同樣會影響植物葉綠素含量[11,12]。干旱脅迫下大麥植株光合效率的降低可能是由于氮、磷、鉀和鐵元素的缺乏所造成[13]，隨之而來會造成PSII蛋白脫磷酸化增加，LHCII蛋白（如b4和CP29）快速磷酸化[14]。

1.1 干旱脅迫對光系統(tǒng)PSII的影響

與PSII相比，PSⅠ對水分虧缺具有更高的耐受性，只有在極端干旱條件下才會出現(xiàn)負面效應[15,16,17]。對幾種生態(tài)型椰子(Cocos nucifera L.)進行的試驗研究表明，干旱脅迫限制了光能的吸收和PSII的最大量子產(chǎn)率，降低了電子傳輸速度和羧化效率[18]。同樣，在進行性干旱期間，桑樹(Morusindica L.)觀察到由于非活性RCs的增加、電子傳遞減少和能量耗散增強而導致的PSII活性降低[19]。在小麥[20,21,22]、橄欖[23]、葡萄[11]以及一些沙漠灌木的葉片中[24,25]也發(fā)現(xiàn)了PSII的最大量子產(chǎn)量下降。

在灌木中，還觀察到CO2同化減少和電子傳輸受到抑制[25]。二氧化碳同化減少可能導致PSII光化學活性與NADPH需求之間的不平衡。在這種情況下，活性氧(ROS)的產(chǎn)生增加，這可能是PSII對光破壞敏感性增加的原因[26]。在多數(shù)情況下，葉綠素熒光測量表明，通過調整光系統(tǒng)之間的能量分配和激活替代電子流，增強了對PSII和PSI光化學的保護[27,28]。

1.2 干旱脅迫和熱脅迫的關系

在自然界中，強烈的光照輻射伴隨著高溫和缺水，可能會發(fā)生慢性光抑制[16]。事實上，干旱和高溫是影響農(nóng)業(yè)地區(qū)作物生長和產(chǎn)量的兩大非生物脅迫，眾所周知，它們一般同時發(fā)生。干旱和熱脅迫的聯(lián)合效應與它們單獨作用時觀察到的不同，表明這兩種應激源以不同的方式影響新陳代謝[29,30,31]。

González Cruz和Pastenes證明，與脅迫敏感大豆品種Arroz Tuscola相比，干旱脅迫下的抗逆性大豆品種Orfeo INIA具有更高的耐熱性。作者討論了葉黃素、脂類和脂肪酸成分在提高大豆葉片耐高溫性中的可能作用。干旱脅迫下葉片與高溫的相互作用對PSII的影響已被廣泛研究，普遍表明干旱脅迫下使得葉片PSII的熱穩(wěn)定性增強[31,32,33]。

植物的干旱脅迫和熱脅迫之間存在拮抗效應。事實上，可能是由于植物在脅迫環(huán)境下某些滲透調節(jié)物質(如脯氨酸)的積累提高了植物對高溫的耐受性[34]。此外，如圖1所示，OJIP曲線中K峰消失表明干旱脅迫可能會增強PSII對熱脅迫的耐受能力[31]。

圖1.暗適應條件下大麥OJIP曲線。大麥培育2周后，無水干旱處理2周。對照組和干旱處理組離體葉片45℃熱處理10min，適應環(huán)境溫度5min后，測定葉綠素熒光[31]。

2 干旱脅迫對植物OJIP曲線和JIP-test參數(shù)的影響

葉綠素熒光JIP-test方法用于檢測植物干旱脅迫，可獲取植物組織和器官在水分脅迫條件下光合作用過程的重要信息[4,35,36,37]。而目前，水分脅迫對植物光合機構影響導致的熒光參數(shù)的變化尚未有統(tǒng)一定論[4,21,22,38]。

2.1 L&K峰

JIP-test方法可作為篩選耐旱性基因型作物品種的有效工具[19,39,40,41]。干旱脅迫可以直接或間接影響植物的光合活性，從而改變葉綠素熒光動力學曲線。OJIP曲線2~3ms的熒光上升階段與原初光化學反應相關，L峰和K峰可作為評價植物耐旱潛力的有力工具[42]。L峰受PSII各組分間能量轉移的連通性影響[43]。K峰的出現(xiàn)與放氧復合體(OEC)的解離相關[44]。O-L-K-J-I-P熒光瞬態(tài)的測量和JIP-test可作為干旱脅迫出現(xiàn)前耐旱性和生理紊亂的潛在指標。

2.2 性能指數(shù)PI(performance index)

性能指數(shù)PI是OJIP曲線中為人熟知的一個重要參數(shù)，是植物狀態(tài)和活性的定量參數(shù)。PI由三個獨立的表達式組成：單位葉綠體活性反應中心的數(shù)量，原初光化學反應的有關的表達式和一個與電子傳遞相關的表達式[45]。因此，PI易受到天線色素活性、捕獲效率和電子傳遞效率發(fā)生的任何輕微變化的影響。PI對冬小麥的持續(xù)干旱脅迫敏感[46]。根據(jù)干旱脅迫下記錄的PI值評估的小麥基因型的耐旱性與糧食產(chǎn)量評定的結果高度一致[47]。

PI與干旱因子指數(shù)(DFI)密切相關，能夠顯示不同基因型植物對干旱反應的巨大差異。DFI是指在任意干旱脅迫時間內，干旱引起的PI相對降低量。Strauss等人于2006年即運用相似定義CFI(Chill Factor Index)檢測不同大豆基因型的耐寒性。DFI還用于10個大麥品種(圖2)[42]和21個芝麻突變體種質[48]在干旱脅迫下的特性鑒定。利用性能指數(shù)PI和OJIP曲線確定了埃及雙色大麥和高粱**耐性和最敏感的地方品種[49]。這些研究證明在PSII水平上區(qū)分耐旱品種和敏感品種是可能的。

圖2. 10個大麥品種在連續(xù)兩周干旱脅迫下干旱因子指數(shù)（DFI）與驅動力（DF）的關系。每個基因型都由表中代碼表示[42]。

2.3 I~P相

干旱脅迫對植物光合系統(tǒng)產(chǎn)生許多影響。干旱脅迫下ABS/RC比率的增加[41,50]，這可能是由于某些PSII RCs失活或天線尺寸增加所致。RCs的失活是對光抑制敏感的一個指標。這意味著在干旱時期，光化學活動會降低，把吸收的多余的光通過熱耗散進行消散。此外干旱脅迫會影響OJIP曲線中I~P相位的相對振幅。I~P相為快速葉綠素熒光上升的最慢階段(約30~200 ms)，與質體籃素PC+和PSⅠ中P700+的還原相關[51,52]。I~P相似乎與通過820nm透射測量的PSⅠ反應中心數(shù)量相關[53]。此外已證明，不同大麥品種I~P相振幅的變化與其耐旱性相關[53,54]。

2.4 延遲熒光

葉綠素熒光ChlF是在光合樣品由暗到光轉換后發(fā)射的，而延遲熒光則是由光到暗轉換期間檢測得到[55,56,57]。延遲熒光**由Strehler和Arnold于1951年報道，是由PSII所發(fā)射。DF被認為反映了光誘導電荷分離后，還原的初級電子受體QA-與氧化的電子供體P680+的再復合。DF誘導曲線的形狀取決于樣品類型及其生理狀態(tài)。同時測量葉綠素Chl a熒光(即時熒光，PF)、延遲熒光DF、在820nm處調制反射MR820和遠紅光(735nm)反射RR的試驗設備已開發(fā)出來(Hansatech, M-PEA)，可獲得不同光合反應的速率常數(shù)[56]。如圖3，由Golteev等于2013年提出的Σ方案解釋了光合電子傳遞中上述信號的來源[58]。如圖4，通過該技術使用M-PEA，Goltsev等于2012年發(fā)現(xiàn)干旱脅迫下QA-的再氧化受到抑制，由PSII至QA的電子傳遞量子產(chǎn)率下降同時OJIP曲線快相部分受到抑制[59]。

圖3. Σ方案解釋光合電子傳遞鏈中PF、DF和mr820信號來源[58]。

* 方框表示光合結構構件。綠色箭頭表示可以測量的物理信號，紅色箭頭表示根據(jù)這些信號重新計算的電子和能量流。信號：DF，延遲熒光；PF，即時熒光；MR，調制反射；RR，遠紅光（735nm）反射。

* 電子流：TR，能量俘獲；E₂₁，從PSII天線到PSI的能量遷移（溢出）；ED，來自內部供體的水或中間供體（ID）向PSII的電子供應；RE，通過PSI到NADP的電子流；CE，環(huán)式電子流。

* RC₁*和RC₂*分別是PSI和PSII的反應中心葉綠素，其他縮略語是光合光反應的經(jīng)典Z方案的標準縮寫。

圖4. JIP-test參數(shù)和延遲熒光參數(shù)I₁/I₂，該數(shù)據(jù)根據(jù)1184組不同含水量離體大豆葉片測量[59]。

* 雷達圖顯示了根據(jù)不同RWC的葉片計算出的參數(shù)。對于每個組，取50片相似RWC的葉片測量值的平均值，并標準化為100%RWC時的值。

* I₁/I₂是DF延遲熒光誘導曲線快速階段延遲熒光最大振幅的比值[60]。雷達圖生動地表示了干旱對光合機械的影響。每一個干旱等級都由一個多邊形表示，其角點對應于相對（相對于對照全水化葉的值）JIP參數(shù)，以及DF（I₁/I₂）誘導曲線上的兩個峰值的比值。這個比率I₁/I₂被發(fā)現(xiàn)與PSII中的電子流成反比[61]。光合機構的功能狀態(tài)可以看作是一個幾何圖形，其形狀是干旱脅迫所特有的。它對不同的干旱程度很敏感，所選參數(shù)的雷達圖可直接用于RWC的經(jīng)驗預測。

本文內容源自《Emerging Technologies and Management of Crop Stress Tolerance A Sustainable Approach》Volume 2，Edited by Parvaiz Ahmad and Saiema Rasool.

CHAPTER 15——Kalaji H M , Jajoo A , Oukarroum A , et al. The Use of Chlorophyll Fluorescence Kinetics Analysis to Study the Performance of Photosynthetic Machinery in Plants[J]. Emerging Technologies and Management of Crop Stress Tolerance, 2014:347-384.

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