气候变化背景下低温胁迫对三角梅叶绿素荧光参数及抗氧化体系的影响

毛轩雯; 陆锦灏; 阮心依; 白晓文; 刘宏缘; 赵杭; 林雅楠; 蒋诗睿; 宋扬; 张宝欣; 谭驭宇; 刘鹏

doi:10.13870/j.cnki.stbcxb.2024.01.037

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气候变化背景下低温胁迫对三角梅叶绿素荧光参数及抗氧化体系的影响

更新时间：2025-03-12

- 气候变化背景下低温胁迫对三角梅叶绿素荧光参数及抗氧化体系的影响
- Effects of Low-Temperature Stress on Chlorophyll Fluorescence Parameters and Antioxidant System of
- 水土保持学报 2024年38卷第1期页码：176-186
- 作者机构：
  
  浙江师范大学生命科学学院植物学实验室,浙江,金华,321004
- 作者简介：
  
  [ "毛轩雯(1999—),女,硕士研究生,主要从事植物生理研究。E-mail:mxwmxw0412@163.com" ]
- 基金信息：
  
  国家自然科学基金项目(32001224,41461010)
- DOI：10.13870/j.cnki.stbcxb.2024.01.037
  中图分类号： Q945.78
- 纸质出版：2024
- 稿件说明：
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毛轩雯, 陆锦灏, 阮心依, 等. 气候变化背景下低温胁迫对三角梅叶绿素荧光参数及抗氧化体系的影响[J]. 水土保持学报, 2024,38(1):176-186.

MAO Xuanwen, LU Jinhao, RUAN Xinyi, et al. Effects of Low-Temperature Stress on Chlorophyll Fluorescence Parameters and Antioxidant System of[J]. 2024, 38(1): 176-186.
毛轩雯, 陆锦灏, 阮心依, 等. 气候变化背景下低温胁迫对三角梅叶绿素荧光参数及抗氧化体系的影响[J]. 水土保持学报, 2024,38(1):176-186. DOI： 10.13870/j.cnki.stbcxb.2024.01.037.

MAO Xuanwen, LU Jinhao, RUAN Xinyi, et al. Effects of Low-Temperature Stress on Chlorophyll Fluorescence Parameters and Antioxidant System of[J]. 2024, 38(1): 176-186. DOI： 10.13870/j.cnki.stbcxb.2024.01.037.

摘要

[目的] 为探明气候变化背景下低温对三角梅生理生化表现及其对低温胁迫的内在适应机制。[方法] 以具有强、中、弱耐寒能力的宫粉、热火、百变三角梅为材料

采用室内盆栽试验

低温处理7

21天

研究不同耐寒型三角梅光合系统和抗氧化体系在各周期下对低温胁迫的响应情况。[结果] (1)低温处理期间

各品种初始荧光(F0)均有所上升

其中宫粉三角梅变化最为显著

较第0天增长60.2%

最大荧光(Fm)、PSII有效光化学电子产量(Fv/Fm)以及光合相对电子传递速率(ETR)则迅速降低

并于第21天时达到最低水平。三角梅的光化学猝灭系数(qP)均随着低温胁迫加剧而下跌

而热火三角梅与宫粉三角梅的非光化学猝灭系数(qN)大幅提高。(2)低温胁迫后各品种三角梅SOD、POD、CAT酶活性均显著下降

并随着胁迫时间的延长而加剧

即低温对三角梅抗氧化酶活性产生严重抑制

其中宫粉三角梅的SOD、POD、CAT酶活性均高于其余2个品种

可见宫粉具有强抗寒能力。(3)在AsA-GSH循环体系中

低温下各三角梅叶AsA含量与DHA含量均明显增加

21天时3个品种三角梅的GR活性分别较0天上升180.91%

175.97%

112.37%

且宫粉三角梅在21天时AsA/DHA比率、APX活性与DHAR活性显著提升。[结论] 低温通过影响PSⅡ光化学反应中心而抑制植株的生长

三角梅可通过开启光合系统保护机制减少光抑制

此外还积累渗透调节物质

启动抗氧化系统产生应激调节作用

以清除自身体内快速增生的ROS减轻低温伤害。

Abstract

[Objective] This study is aimed to explore the physiological and biochemical manifestations of Bougainvillea spectabilis Willd. to low temperature and the intrinsic adaptation mechanism to cold stress in the context of climate change. [Methods] Taking Bougainvillea Paederia Foetida

Bougainvillea Flaming Sumba and Bougainvillea Duranta with strong

medium

and weak cold tolerance as test materials

through indoor pot experiments

we conducted low temperature treatments for 7

14 and 21 days and studied the responses of the photosynthetic and antioxidant systems of different cold tolerant Bougainvillea to cold stress during these different periods. [Results] (1) During the low-temperature treatment period

the initial fluorescence (F0) of all varieties increased

with the most significant change in B. Paederia Foetida

which increased by 60.2% compared to day 0. Maximum fluorescence (Fm)

PSII effective photochemical electron production (Fv/Fm)

and photosynthetic relative electron transfer rate (ETR) rapidly decreased and reached their lowest levels at day 21. As the intensification of low temperature stress

the photochemical quenching coefficient (qP) of the three Bougainvillea types decreased

while the non-photochemical quenching coefficient (qN) of B. Flaming Sumba and B. Paederia Foetida increased significantly. (2) After exposure to low temperature stress

the activities of SOD

POD and CAT enzymes in each variety decreased significantly and intensified with the extension of stress time

indicating that low temperature seriously inhibited the antioxidant enzyme activity of Bougainvillea. Among them

the SOD

POD and CAT enzyme activities of B. Paederia Foetida were higher than those of the other two varieties

indicating that B. Paederia Foetida had strong cold resistance. (3) In the AsA-GSH cycle system

the content of AsA and DHA of each Bougainvillea leaf significantly increased under low temperature. Compared to day 0

the GR activity of the three Bougainvillea types at day 21 increased by 180.91%

175.97% and 112.37%

respectively. Additionally

the AsA/DHA ratio

APX activity and DHAR activity of B. Paederia Foetida significantly increased at day 21. [Conclusion] Low temperature inhibited plant growth through affecting the PSII photochemical reaction center. However

Bougainvillea could activate their photosynthetic system protection mechanism to reduce photoinhibition. Furthermore

it could accumulate osmoregulation substances

activate the antioxidant system

and exert stress regulatory effects to eliminate rapidly proliferating ROS in its own body and alleviate low-temperature damage.

关键词

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references

孙颖.人类活动对气候系统的影响:解读IPCC第六次评估报告第一工作组报告第三章[J].大气科学学报,2021,44(5):654-657. SUN Y. Impact of human activities on climate system: An interpretation of Chapter Ⅲ of WGⅠreport of IPCC AR6[J].Transactions of Atmospheric Sciences,2021,44(5):654-657.

FAVA F, VRIELING A. Earth observation for drought risk financing in pastoral systems of sub-Saharan Africa[J].Current Opinion in Environmental Sustainability,2021,48:44-52.

DIKSHIT A, PRADHAN B, HUETE A. An improved SPEI drought forecasting approach using the long short-term memory neural network[J].Journal of Environmental Management,2021,283:e11979.

薛华柱,李阳阳,董国涛.基于SPEI指数分析河西走廊气象干旱时空变化特征[J].中国农业气象,2022,43(11):923-934. XUE H Z, LI Y Y, DONG G T. Analysis of spatial-temporal variation characteristics of meteorological drought in the Hexi Corridor based on SPEI index[J].Chinese Journal of Agrometeorology,2022,43(11):923-934.

WANG F, WANG Z M, YANG H B, et al. Copula-based drought analysis using standardized precipitation evapotranspiration index: A case study in the Yellow River Basin, China[J]. Water, 2019, 11(6):e1298.

李家誉,佘敦先,张利平,等.黄土高原植被变化对气象干旱多尺度响应特征与机制[J].水土保持学报,2022,36(6):280-289. LI J Y, SHE D X, ZHANG L P, et al. Multi-scale response characteristics and mechanism of vegetation to meteorological drought on the Loess Plateau[J].Journal of Soil and Water Conservation,2022,36(6):280-289.

游漫,贺中华,张浪,等.贵州省农业与气象干旱特征及其响应关系[J].水土保持学报,2022,36(5):255-264. YOU M, HE Z H, ZHANG L, et al. Characteristics of agricultural and meteorological drought in Guizhou Province and their response relationship[J].Journal of Soil and Water Conservation,2022,36(5):255-264.

ZHANG Q, KONG D D, SINGH V P, et al. Response of vegetation to different time-scales drought across China: Spatiotemporal patterns, causes and implications[J].Global and Planetary Change, 2017,152:1-11.

WANG S N, LI R P, WU Y J, et al. Effects of multi-temporal scale drought on vegetation dynamics in Inner Mongolia from 1982 to 2015, China[J].Ecological Indicators, 2022,136:e108666.

SHI X, CHEN F, DING H, et al. Assessing vegetation ecosystem resistance to drought in the middle reaches of the Yellow River Basin, China[J].International Journal of Environmental Research and Public Health,2022,19(7):e4180.

JIANG W X, NIU Z G, WANG L C, et al. Impacts of drought and climatic factors on vegetation dynamics in the Yellow River Basin and Yangtze River Basin, China[J].Remote Sensing,2022,14(4):e930.

ZHAN C, LIANG C, ZHAO L, et al. Drought-related cumulative and time-lag effects on vegetation dynamics across the Yellow River Basin, China[J].Ecological Indicators,2022,143:e109409.

ZHOU K, WANG Y M, CHANG J X, et al. Spatial and temporal evolution of drought characteristics across the Yellow River Basin[J].Ecological Indicators,2021,131:e108207.

皮贵宁,贺中华,游漫,等.2001—2020年贵州省气候变化及人类活动对植被变化的影响[J].水土保持学报,2022,36(4):160-167. PI G N, HE Z H,YOU M, et al. Effects of climate change and human activities on vegetation change in Guizhou Province from 2001 to 2020[J].Journal of Soil and Water Conservation,2022,36(4):160-167.

ZHANG Y H, YE A Z. Spatial and temporal variations in vegetation coverage observed using AVHRR GIMMS and Terra MODIS data in the mainland of China[J].International Journal of Remote Sensing,2020,41(11):4238-4268.

LIU J Y, KUANG W H, ZHANG Z X, et al. Spatiotemporal characteristics, patterns, and causes of land-use changes in China since the late 1980s[J].Journal of Geographical Sciences,2014,24(2):195-210.

高秉丽,巩杰,李焱,等.基于SPEI的黄河流域多尺度干湿特征分析[J].干旱区研究,2022,39(3):723-733. GAO B L, GONG J, LI Y, et al. Analysis of multi-scalar characteristics of dry and wet conditions in the Yellow River Basin based on SPEI[J].Arid Zone Research,2022,39(3):723-733.

刘珂,姜大膀.基于2种潜在蒸散发算法的SPEI对中国干湿变化的分析[J].大气科学,2015,39(1):23-36. LIU K, JIANG D B. Analysis of dryness/wetness over China using standardized precipitation evapotranspiration index based on two evapotranspiration algorithms[J].Chinese Journal of Atmospheric Sciences,2015,39(1):23-36.

王飞,王宗敏,杨海波,等.基于SPEI的黄河流域干旱时空格局研究[J].中国科学:地球科学,2018,48(9):1169-1183. WANG F, WANG Z M, YANG H B, et al. Study of the temporal and spatial patterns of drought in the Yellow River basin based on SPEI[J].Scientia Sinica(Terrae),2018,48(9):1169-1183.

王澄海,张晟宁,李课臣,等.1961—2018年西北地区降水的变化特征[J].大气科学,2021,45(4):713-724. WANG C H, ZHANG S N, LI K C, et al. Change characteristics of precipitation in Northwest China from 1961 to 2018[J].Chinese Journal of Atmospheric Sciences,2021,45(4):713-724.

李晶,闫星光,闫萧萧,等.基于GEE云平台的黄河流域植被覆盖度时空变化特征[J].煤炭学报,2021,46(5):1439-1450. LI J, YAN X G, YAN X X, et al. Temporal and spatial variation characteristic of vegetation coverage in the Yellow River Basin based on GEE cloud platform[J].Journal of China Coal Society,2021,46(5):1439-1450.

DAI Q, CUI C F, WANG S. Spatiotemporal variation and sustainability of NDVI in the Yellow River basin[J].Irrigation and Drainage,2022,71(5):1304-1318.

王俊奇,王广军,梁四海,等.1996—2015年黄河源区植被覆盖度提取和时空变化分析[J].冰川冻土,2021,43(2):662-674. WANG J Q, WANG G J, LIANG S H, et al. Extraction and spatio-temporal analysis of vegetation coverage from 1996 to 2015 in the source region of the Yellow River[J].Journal of Glaciology and Geocryology,2021,43(2):662-674.

ZHU X F, LIU Y, XU K, et al. Effects of drought on vegetation productivity of farmland ecosystems in the drylands of Northern China[J].Remote Sensing,2021,13(6):e1179.

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