Effects of Drought Stress on the Photosynthesis in Maize

Liu, J.; Guo, Yanliang; Bai, Yangyang; Camberato, James J.; Xue, Jiquan; Zhang, R. H.

doi:10.1134/s1021443718060092

Cited by 31 publications

(29 citation statements)

References 29 publications

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“…Secondly, photosynthesis could be limite by biochemical processes resulting in photosynthetic enzyme activity inhibition, Pn, Rubisco and RuBP activity decrease, etc. [7][8][9]36]. Fortunately, above these findings were also supported by our results in this study, namely, drought-stressed Chang7-2, Langhuang, TS141, POP-CT, and POP-LT exhibited obvious decrease in Pn, Gs, Tr, and RuBP, their Ci and WUE, however, significantly displayed the increase relative of corresponding plants with sufficient water (Fig.…”

Section: Maize Photosynthetic Performances Variations In Response To supporting

confidence: 88%

“…Although a wealth of information from previous researches considerably improved our understanding of leaf photosynthetic performances [43][44][45], as well as applications in maize MAS breeding [5,9,18,35], few studies considered the genetic basis of maize photosynthetic-related traits under water defict at the molecular level [20][21][22]. Based on the above considerations, in this study we detected 54 QTLs for six photosynthetic-related traits across two F4 populations via single watering environment mapping with CIM ( Fig.…”

Section: Genetic Architectures For Photosynthetic Performancesmentioning

confidence: 94%

“…Zhang et al [7] suggested moderate and severe drought stress caused an obvious decrease in Pn, Gs, and RuBP, caused a significant increase in Ci, damaged photosytem II (PSII) , reduced electron transport in diverse maize varieties. Tezara et al [8] and Liu et al [9] also analyzed the activities of photosystem I (PSI), PSII, and photosynthetic electron transport chain (PETC) between PSII and PSI in response to drought stress in maize, and of which showed that a significant increase in absorption of antenna chlorophyll per PSII reaction center (ABS/RC) was found, a significant decrease in quantum yield for electron transport (φE0), efficiency of an electron beyond primary quinone acceptor of PSII (QA), efficiency of an electron beyond QA (Ψ0), and performance index for energy conservation from photons absorbed by PSII to the reduction of intersystem electron acceptors (PIABS) were observed, and no significant change in the fast 820 nm modulated reflection (MR) phase and the amplitude of delayed fluorescence under drought stress. In this regard, once photosynthesis performance is inhibited under drought environments, it is likely to result in maize plant absorbing more light energy than can be consumed through photosynthetic carbon fixation, and even damage photo-oxidation, finally cause more GY losses.…”

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confidence: 99%

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Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Zhao

Lü

Bai

et al. 2019

Preprint

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Background: Maintaining photosynthetic capacities is a critical function that allows maize ( Zea mays L.) to adapt to drought stress. The elucidation of genetic controls of photosynthetic performances, and tightly linked molecular markers under water stress are thus of great importance in marker-assisted selection (MAS) breeding. Meanwhile, little is known regarding their genetic controls under drought stress. Two F 4 populations were developed to identify quantitative trait loci (QTLs) and dissect the genetic variation underlying six photosynthetic-related traits, namely, net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO 2 concentration (Ci), transpiration rate (Tr), ribulose 1,5-biphosphate carboxylase activity (RuBP), and water use efficiency (WUE) under drought-stressed and well-watered environments. Results: For two populations, we detected 54 QTLs under drought-stressed and well-watered environments by single-environment mapping with composite interval mapping (CIM), approximately 81.8~100 % QTLs displayed non-additive effects, and 43 of the 54 QTLs were identified under drought-stressed environment. We also dissected 54 QTLs via joint analysis of all environments with mixed-linear-model-based composite interval mapping (MCIM), 24 QTLs involved in QTL × environment interactions (QEIs), approximately 87.5 % QEIs were identified under drought-stressed environments, as well as 14 pair epistasis exhibited dominance-by-additive/dominance (DA/DD) effects under constracting environments. We further identified 8 constitutive QTLs (cQTLs) across two populations by CIM/MCIM under multiple environments. Remarkably, bin 1.07_1.10 (cQTL2), bin 6.05 (cQTL5), bin 7.02_7.04 (cQTL6), bin 8.03 (cQTL7), and bin 10.03 (cQTL8) exhibited 5 pleiotropic cQTLs that were consistent with phenotypic correlations among all photosynthetic-related traits. Additionally, 17 candidate genes were validated in above cQTLs. Conclusions: Photosynthetic performances in maize were predominantly controlled by non-additive and QEIs effects, where more QEIs effects occurred in drought stress. 8 cQTLs affecting six photosynthetic-related traits could be useful for genetic improvement of these traits via QTL pyramiding, corresponding 5 QTLs clusters indicated tight linkage or pleiotropy in the inheritance of these traits, and 17 candidate genes involved in leaf morphology and development, photosynthesis, and stress reponse coincided with above corresponding cQTLs.

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Section: Maize Photosynthetic Performances Variations In Response To supporting

confidence: 88%

Section: Genetic Architectures For Photosynthetic Performancesmentioning

confidence: 94%

mentioning

confidence: 99%

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Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Zhao

Lü

Bai

et al. 2019

Preprint

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“…Although a wealth of information from previous researches considerably improved our understanding of leaf photosynthetic performances [43][44][45], as well as applications in maize MAS breeding [5,9,18,35], few studies considered the genetic basis of maize photosynthetic-related traits under water de ct at the molecular level [20][21][22]. Based on the above considerations, in this study we detected 54 QTLs for six photosynthetic-related traits across two F 4 populations via single watering environment mapping with CIM ( Fig.…”

Section: Genetic Architectures For Photosynthetic Performancesmentioning

confidence: 99%

Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Zhao

Zhang

2020

Preprint

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BackgroundMaintaining photosynthetic capacity is a critical function that allows maize (Zea mays L.) to adapt to drought stress. The elucidation of genetic controls of photosynthetic performances, and tightly linked molecular markers under water stress are thus of great importance in marker-assisted selection (MAS) breeding. Meanwhile, little is known regarding their genetic controls under drought stress. Two F4 populations were developed to identify quantitative trait loci (QTLs) and dissect the genetic variation underlying six photosynthetic-related traits, namely, net photosynthetic rate (Pn), stomatal conductance (Gs), intercellular CO2 concentration (Ci), transpiration rate (Tr), ribulose 1,5-biphosphate carboxylase activity (RuBP), and water use efficiency (WUE) under drought-stressed and well-watered environments.ResultsFor two populations, we detected 54 QTLs under drought-stressed and well-watered environments by single-environment mapping with composite interval mapping (CIM), approximately 81.8~100 % QTLs displayed non-additive effects, and 43 of the 54 QTLs were identified under drought-stressed environment. We also dissected 54 QTLs via joint analysis of all environments with mixed-linear-model-based composite interval mapping (MCIM), 24 QTLs involved in QTL × environment interactions (QEIs), approximately 87.5 % QEIs were identified under drought-stressed environments, as well as 14 pair epistasis exhibited dominance-by-additive/dominance (DA/DD) effects under constracting environments. We further identified 8 constitutive QTLs (cQTLs) across two populations by CIM/MCIM under multiple environments. Remarkably, bin 1.07_1.10 (cQTL2), bin 6.05 (cQTL5), bin 7.02_7.04 (cQTL6), bin 8.03 (cQTL7), and bin 10.03 (cQTL8) exhibited 5 pleiotropic cQTLs that were consistent with phenotypic correlations among all photosynthetic-related traits. Additionally, 17 candidate genes were validated in above cQTLs.ConclusionsPhotosynthetic performances in maize were predominantly controlled by non-additive and QEIs effects, where more QEIs effects occurred in drought stress. 8 cQTLs affecting six photosynthetic-related traits could be useful for genetic improvement of these traits via QTL pyramiding, corresponding 5 QTLs clusters indicated tight linkage or pleiotropy in the inheritance of these traits, and 17 candidate genes involved in leaf morphology and development, photosynthesis, and stress reponse coincided with above corresponding cQTLs.

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“…In recent years, researchers have investigated the photosynthesis characteristics, water physiology, and physiological and biochemical processes of plants. However, most of these studies evaluated the effects of drought stress on individual physiological indices of xerophytes and focused primarily on the effects of drought stress on the photosynthesis parameters and physiological variations of typical xerophytic plants or crop species [14][15][16][17] . Vieira et al reported that drought stress led to a decrease in the net photosynthesis rate (P n ) and stomatal conductance (G s ) of Vateria macrocarpa and an increase in its SOD, ascorbate peroxidase, and catalase activities.…”

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confidence: 99%

Physiological and ecological characteristics of Periploca sepium Bunge under drought stress on shell sand in the Yellow River Delta of China

Wang

Xia

Cao³

2020

Sci Rep

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Bin cao 2 this study investigated the physiological and ecological changes in P. sepium Bunge and elucidated the physiological regulatory mechanisms underlying the adaptation of P. sepium to drought stress in shell sand. Drought stress led to a significant decrease in the net photosynthesis rate (P n) and respiration rate of leaves and a decrease in low-intensity light-use efficiency (LUE) and light ecological amplitude. An increase in drought stress led to a considerable decrease in the photosynthetic electron transport rate in the P. sepium leaves and a significant increase in the amount of light energy dissipated as heat. In addition, the photosynthesis process suffered from severe photoinhibition. P. sepium plants counteracted the effects of drought stress primarily by increasing their peroxidase (POD) activity and by regulating membrane lipid peroxidation by secreting greater numbers of osmotic adjustment substances (proline (Pro) and soluble sugars (Ss)) and malondialdehyde (MDA). As drought stress increased, both the stem sap flow rate and the cumulative sap flow of P. sepium decreased considerably. P. sepium Bunge adapts to drought stress through interregulatory activity between photosynthesis, water-related physiological activities, and physiological and biochemical processes, and this species exhibits relatively high adaptive plasticity to drought.

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Effects of Drought Stress on the Photosynthesis in Maize

Cited by 31 publications

References 29 publications

Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Genetic dissection of photosynthetic performances in maize under drought-stressed and well-watered environments

Physiological and ecological characteristics of Periploca sepium Bunge under drought stress on shell sand in the Yellow River Delta of China

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