5种光合模型对沙棘属3种植物叶绿素荧光光响应曲线的拟合效果比较分析
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摘要
为研究3种沙棘一年生实生苗在生长季节的叶绿素荧光动力学特性及光响应变化规律,以云南沙棘、江孜沙棘和肋果沙棘苗木为材料,应用直角双曲线模型、非直角双曲线模型、单指数方程、双指数方程和直角双曲线修正模型进行光响应曲线拟合,比较不同模型拟合的荧光参数值与实测值之间差异,以筛选出适合沙棘属植物的叶绿素荧光—光响应模型。并利用筛选出的叶绿素荧光—光响应模型,比较青藏高原3种沙棘叶绿素荧光参数差别。结果表明:(1)直角双曲线修正模型为3种沙棘叶绿素荧光—光响应曲线拟合的最佳模型;(2)沙棘属植物光化学速率(PCR)和电子传递速率(ETR)总体随光照有效辐射(PAR)的增大先上升,当达到最大值时,逐渐下降;光系统—实际光化学速率(PhiPS2)和光系统—有效光化学速率(Fv′/Fm′)随PAR增加而呈下降趋势;云南沙棘的ETR、PCR、PhiPS2和Fv′/Fm′最高;(3)云南沙棘适应光合逆境的能力最强。
In order to study dynamic properties and light response of the chlorophyll fluorescence of 1-year-old seedling of Hippophae rhamnoides subsp.yunnanensis,H.neurocarpa and H.gyantsensis during their growing season,photoresponse curve fitting were conducted through the right-angle hyperbolic model,the non-orthogonal hyperbolic model,the single exponential equation,the double exponential equation and the right angle hyperbolic correction model,and for selecting the suitable chlorophyll fluorescence-photoresponse model,the difference between the parameter values data and tested data of above-mentions models were compared.The results showed that:(1)the right-angle hyperbolic correction model was the best model for chlorophyll fluorescence-light response curve fitting;(2)the photochemical rate(PCR)and electron transport rate(ETR)increased at the beginning with the increased radiation(PAR)and gradually decreased at their maximum value; the actual photochemical rate of photosystem II(PhiPS2)and the effective photochemical rate of photosystem II(Fv′/Fm′)decreased with the increased PAR;H.rhamnoides subsp.yunnanensis had the highest ETR,PCR,PhiPS2 and Fv′/Fm′;(3) H.rhamnoides subsp.yunnanensis had the strongest ability adapting to photosynthetic stress.
In order to study dynamic properties and light response of the chlorophyll fluorescence of 1-year-old seedling of Hippophae rhamnoides subsp.yunnanensis,H.neurocarpa and H.gyantsensis during their growing season,photoresponse curve fitting were conducted through the right-angle hyperbolic model,the non-orthogonal hyperbolic model,the single exponential equation,the double exponential equation and the right angle hyperbolic correction model,and for selecting the suitable chlorophyll fluorescence-photoresponse model,the difference between the parameter values data and tested data of above-mentions models were compared.The results showed that:(1)the right-angle hyperbolic correction model was the best model for chlorophyll fluorescence-light response curve fitting;(2)the photochemical rate(PCR)and electron transport rate(ETR)increased at the beginning with the increased radiation(PAR)and gradually decreased at their maximum value; the actual photochemical rate of photosystem II(PhiPS2)and the effective photochemical rate of photosystem II(Fv′/Fm′)decreased with the increased PAR;H.rhamnoides subsp.yunnanensis had the highest ETR,PCR,PhiPS2 and Fv′/Fm′;(3) H.rhamnoides subsp.yunnanensis had the strongest ability adapting to photosynthetic stress.
引文
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[11]蔡金桓,薛立.高山植物的光合生理特性研究进展[J].生态学杂志,2018,37(1):245-254.
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[13]李霓,蒋严妃,苏雪,等.肋果沙棘北缘居群的遗传多样性与遗传结构[J].广西植物,2016,36(5):557-563.
[14]孙妙,杨周婷,张存莉,等.中国沙棘种子的水引发技术及其抗性生理效应[J].林业科学,2014,50(12):32-39.
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[20]陈学林,马瑞君,孙坤,等.中国沙棘属种质资源及其生境类型的研究[J].西北植物学报,2003(3):451-455.
[21]谭亮,赵静,马家麟,等.青海玉树沙棘不同部位营养成分分析与营养价值评价[J].天然产物研究与开发,2018,30(5):807-816,899.
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[23]张虎平,樊新民,王华.聚乙烯醇渗调对沙棘种子活力和出苗的影响[J].西北农业学报,2008,18(1):226-228.
[24]刘杜玲.黄土高原半干旱地区大果沙棘苗木平衡施肥技术[D].杨凌:西北农林科技大学,2006.
[25]李丽霞.缺水条件下沙棘苗木萌芽及抗旱生理机制研究[D].杨凌:西北农林科技大学,2001.
[26]李代琼,黄瑾,白岗栓,等.半干旱黄土丘陵区沙棘优良品种引种选育试验研究[J].西北植物学报,1999(5):18-26.
[27]叶子飘,于强.光合作用光响应模型的比较[J].植物生态学报,2008,32(6):1356-1361.
[28]叶子飘,王建林.植物光合-光响应模型的比较分析[J].井冈山学院学报(自然科学版),2009,30(4):9-13.
[29] Akaike H.A new look at the statistical model identification[J].IEEE Transactions on Automatic Control,1974,19(6):716-723.
[30]刘泽彬,程瑞梅,肖文发,等.不同淹水时间下中华蚊母树光响应特征及其模型比较[J].应用生态学报,2015,26(4):1083-1090.
[31]钱莲文,张新时,杨智杰,等.几种光合作用光响应典型模型的比较研究[J].武汉植物学研究,2009,27(2):197-203.
[32]刘强,李凤日,谢龙飞.人工长白落叶松冠层光合作用-光响应曲线最优模型[J].应用生态学报,2016,27(8):2420-2428.
[33]Somporn T,Kohei O,Hiroshi O,et al.Substrate specificity of alkaline serine proteinase isolated from photosynthetic bacterium,Rubrivivax gelatinosus KDDS1[J].Biochemical and Biophysical Research Communications,2003,309(3):547-551.
[34]叶子飘,康华靖,陶月良,等.不同模型对黄山栾树快速光曲线拟合效果的比较[J].生态学杂志,2011,30(8):1662-1667.
[35]熊彩云,曾伟,肖复明,等.木荷种源间光合作用参数分析[J].生态学报,2012,32(11):3628-3634.
[36]Julie B,Raphael A A,Maria M,et al.Biochemical characterization of prephenate dehydrogenase from the hyperthermophilic bacterium Aquifex aeolicus[J].Protein Science,2006,15(6):1417-1432.
[37]康琅,汪良驹.ALA对西瓜叶片叶绿素荧光光响应曲线的影响[J].南京农业大学学报,2008,26(1):31-36.
[38]康琅.5-氨基乙酰丙酸对西瓜幼苗光合作用、叶绿素荧光特性及抗氧化酶活性的影响[D].南京:南京农业大学,2006.
[39]钱永强,周晓星,韩蕾,等.3种柳树叶片PSⅡ叶绿素荧光参数对Cd～(2+)胁迫的光响应[J].北京林业大学学报,2011,33(6):8-14.
[40]郭春芳,孙云.叶绿素荧光动力学在植物抗性生理研究中的应用[J].福建教育学院学报,2006(7):120-123.
[41]Kumud B M,Rina I,Angelo P,et al.Engineered drought tolerance in tomato plants is reflected in chlorophyll fluorescence emission[J].Plant Science,2011,182:79-86.
[2]李磊,李向义,徐新文,等.策勒绿洲21种豆科牧草叶绿素荧光参数比较[J].中国沙漠,2013,33(5):1363-1370.
[3]Ralphp J,Gademann R.Rapid light curves:A powerful tool to assess photosynthetic activity[J]. Aquatic Botany,2005,82(3):222-237.
[4]王春萍,雷开荣,李正国,等.低温胁迫对水稻幼苗不同叶龄叶片叶绿素荧光特性的影响[J].植物资源与环境学报,2012,21(3):38-43.
[5]尤鑫,龚吉蕊.叶绿素荧光动力学参数的意义及实例辨析[J].西部林业科学,2012,41(5):90-94.
[6]张国盛,郝蕾,闫子娟,等.6种树种叶片叶绿素荧光动力学参数对土壤水分变化的响应[J].生态学杂志,2017,36(11):3079-3085.
[7]姚春娟,郭圣茂,马英超,等.干旱胁迫对4种决明属植物光合作用和叶绿素荧光特性的影响[J].草业科学,2017,34(9):1880-1888.
[8]邓沛怡,周杰良,陶抵辉,等.干旱胁迫对6种藤本植物光合作用及叶绿素荧光参数的影响[J].湖南农业大学学报(自然科学版),2015,41(3):263-270.
[9]刘晶,刘文清,赵南京,等.浮游植物在不同光质和光强激发下的叶绿素荧光特性[J].光学学报,2013,33(9):290-297.
[10]朱弘,温国胜.3种模型对毛竹快速生长期冠层叶片叶绿素荧光—快速光响应曲线(RLC_S)拟合的比较[J].福建农林大学学报(自然科学版),2017,46(6):659-664.
[11]蔡金桓,薛立.高山植物的光合生理特性研究进展[J].生态学杂志,2018,37(1):245-254.
[12]侯冬岩,回瑞华,李铁纯.沙棘的研究进展[J].鞍山师范学院学报,2002,4(1):49-53.
[13]李霓,蒋严妃,苏雪,等.肋果沙棘北缘居群的遗传多样性与遗传结构[J].广西植物,2016,36(5):557-563.
[14]孙妙,杨周婷,张存莉,等.中国沙棘种子的水引发技术及其抗性生理效应[J].林业科学,2014,50(12):32-39.
[15]张吉科,林纬.沙棘根瘤的形成与固氮能力[J].沙棘,1995(3):3-9.
[16]Zoya O,Pavel P,Natalia B.Frost hardiness of introduced sea buckthorn (Hippophae rhamnoides L.)genotypes in Central Russia[J].Proceedings of the Latvian Academy of Sciences.Section B.Natural,Exact,and Applied Sciences,2016,70(2):88-95.
[17]Eva V,Kate■ina S,Martina M,et al.Comparison of selected aroma compounds in cultivars of sea buckthorn (Hippophae rhamnoides L.)[J].Chemical Paper,2015,69(6):881-888.
[18]陈雏.青藏高原沙棘属植物资源与品质评价[D].成都:四川大学,2007.
[19]肖蔚.青藏高原产沙棘属植物生药学研究及亲缘关系分析[D]成都:四川大学,2007.
[20]陈学林,马瑞君,孙坤,等.中国沙棘属种质资源及其生境类型的研究[J].西北植物学报,2003(3):451-455.
[21]谭亮,赵静,马家麟,等.青海玉树沙棘不同部位营养成分分析与营养价值评价[J].天然产物研究与开发,2018,30(5):807-816,899.
[22]梁帆,王明珠,张志栋.沙棘造林技术[J].中国林业,2012(14):50.
[23]张虎平,樊新民,王华.聚乙烯醇渗调对沙棘种子活力和出苗的影响[J].西北农业学报,2008,18(1):226-228.
[24]刘杜玲.黄土高原半干旱地区大果沙棘苗木平衡施肥技术[D].杨凌:西北农林科技大学,2006.
[25]李丽霞.缺水条件下沙棘苗木萌芽及抗旱生理机制研究[D].杨凌:西北农林科技大学,2001.
[26]李代琼,黄瑾,白岗栓,等.半干旱黄土丘陵区沙棘优良品种引种选育试验研究[J].西北植物学报,1999(5):18-26.
[27]叶子飘,于强.光合作用光响应模型的比较[J].植物生态学报,2008,32(6):1356-1361.
[28]叶子飘,王建林.植物光合-光响应模型的比较分析[J].井冈山学院学报(自然科学版),2009,30(4):9-13.
[29] Akaike H.A new look at the statistical model identification[J].IEEE Transactions on Automatic Control,1974,19(6):716-723.
[30]刘泽彬,程瑞梅,肖文发,等.不同淹水时间下中华蚊母树光响应特征及其模型比较[J].应用生态学报,2015,26(4):1083-1090.
[31]钱莲文,张新时,杨智杰,等.几种光合作用光响应典型模型的比较研究[J].武汉植物学研究,2009,27(2):197-203.
[32]刘强,李凤日,谢龙飞.人工长白落叶松冠层光合作用-光响应曲线最优模型[J].应用生态学报,2016,27(8):2420-2428.
[33]Somporn T,Kohei O,Hiroshi O,et al.Substrate specificity of alkaline serine proteinase isolated from photosynthetic bacterium,Rubrivivax gelatinosus KDDS1[J].Biochemical and Biophysical Research Communications,2003,309(3):547-551.
[34]叶子飘,康华靖,陶月良,等.不同模型对黄山栾树快速光曲线拟合效果的比较[J].生态学杂志,2011,30(8):1662-1667.
[35]熊彩云,曾伟,肖复明,等.木荷种源间光合作用参数分析[J].生态学报,2012,32(11):3628-3634.
[36]Julie B,Raphael A A,Maria M,et al.Biochemical characterization of prephenate dehydrogenase from the hyperthermophilic bacterium Aquifex aeolicus[J].Protein Science,2006,15(6):1417-1432.
[37]康琅,汪良驹.ALA对西瓜叶片叶绿素荧光光响应曲线的影响[J].南京农业大学学报,2008,26(1):31-36.
[38]康琅.5-氨基乙酰丙酸对西瓜幼苗光合作用、叶绿素荧光特性及抗氧化酶活性的影响[D].南京:南京农业大学,2006.
[39]钱永强,周晓星,韩蕾,等.3种柳树叶片PSⅡ叶绿素荧光参数对Cd～(2+)胁迫的光响应[J].北京林业大学学报,2011,33(6):8-14.
[40]郭春芳,孙云.叶绿素荧光动力学在植物抗性生理研究中的应用[J].福建教育学院学报,2006(7):120-123.
[41]Kumud B M,Rina I,Angelo P,et al.Engineered drought tolerance in tomato plants is reflected in chlorophyll fluorescence emission[J].Plant Science,2011,182:79-86.