Effects of Cold Stress on the Photosynthesis and Antioxidant System of &lt;em&gt;Rhododendron chrysanthum&lt;/em&gt; Pall.

Zhou, Xiaofu; Chen, Silin; Wu, Hui; Xu, Hongwei

doi:10.20944/preprints201703.0131.v1

Cited by 8 publications

(5 citation statements)

References 21 publications

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“…Another function of glutathione peroxidase is that it can eliminate H 2 O 2 and lipid hydroperoxides using glutathione, which will lead to reduced oxidative damage and enhanced tolerance to abiotic stresses (Halušková et al, 2009). It has also been shown to be an important cold-responsive protein, which significantly increases cold stress tolerance of plants (Zhou et al, 2017). Here, only one gene was found in the photosynthesis module.…”

Section: Discussionmentioning

confidence: 95%

Landscape genomics reveals genetic evidence of local adaptation in a widespread tree, the Chinese wingnut (Pterocarya stenoptera)

Cushman

et al. 2020

J of Sytematics Evolution

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Understanding the genetic basis underpinning local adaptation is one of the fundamental issues in ecological and evolutionary biology. In this study, we investigated the genomic basis underlying local adaptation of the Chinese wingnut (Pterocarya stenoptera C. DC). Our population genomic analyses revealed nine spatial genetic clusters across the current distribution range of this species. Based on the assessment of genetic-environment association, we found that adaptive divergence of the P. stenoptera populations were mainly shaped by solar radiation during fruit development, temperature seasonality, annual temperature, precipitation, and air humidity. In particular, our genome-wide scanning identified a total of 801 candidate single nucleotide polymorphisms (SNPs) that are highly correlated with diverse environmental factors. Further functional annotation of the SNPs identified some candidate genes that are involved into temperature, water, and light adaptation. Taken together, our results suggest that natural selection during local adaptation has contributed to the success of survival to diverse heterogenous environmental conditions. Our study provides important insights into the fundamental knowledge of the genetic basis underlying the local adaptation of nonmodel species.

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Section: Discussionmentioning

confidence: 95%

Landscape genomics reveals genetic evidence of local adaptation in a widespread tree, the Chinese wingnut (Pterocarya stenoptera)

Cushman

et al. 2020

J of Sytematics Evolution

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“…The specific terms, as well as the list of genes and statistical confidence levels, can be found in the Supplementary Table 2 . In the analysis with the PPI network, the 26 new terms associated with “Frost day frequency in Spring” include “Photosynthesis” as an adaptation to cold stress [ 38 ] and “Trichoblast maturation”, which happens in low phosphate condition [ 39 ] in need for cold tolerance [ 40 ]. Terms related to response to starvation and homeostasis linked to cold response [ 41 , 42 ] were identified with or without the PPI network.…”

Section: Resultsmentioning

confidence: 99%

Hierarchical Canonical Correlation Analysis Reveals Phenotype, Genotype, and Geoclimate Associations in Plants

2020

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The local environment of the geographical origin of plants shaped their genetic variations through environmental adaptation. While the characteristics of the local environment correlate with the genotypes and other genomic features of the plants, they can also be indicative of genotype-phenotype associations providing additional information relevant to environmental dependence. In this study, we investigate how the geoclimatic features from the geographical origin of the Arabidopsis thaliana accessions can be integrated with genomic features for phenotype prediction and association analysis using advanced canonical correlation analysis (CCA). In particular, we propose a novel method called hierarchical canonical correlation analysis (HCCA) to combine mutations, gene expressions, and DNA methylations with geoclimatic features for informative coprojections of the features. HCCA uses a condition number of the cross-covariance between pairs of datasets to infer a hierarchical structure for applying CCA to combine the data. In the experiments on Arabidopsis thaliana data from 1001 Genomes and 1001 Epigenomes projects and climatic, atmospheric, and soil environmental variables combined by CLIMtools, HCCA provided a joint representation of the genomic data and geoclimate data for better prediction of the special flowering time at 10°C (FT10) of Arabidopsis thaliana. We also extended HCCA with information from a protein-protein interaction (PPI) network to guide the feature learning by imposing network modules onto the genomic features, which are shown to be useful for identifying genes with more coherent functions correlated with the geoclimatic features. The findings in this study suggest that environmental data comprise an important component in plant phenotype analysis. HCCA is a useful data integration technique for phenotype prediction, and a better understanding of the interactions between gene functions and environment as more useful functional information is introduced by coprojections of multiple genomic datasets.

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“…Low temperature is one of the leading causes of chloroplast structure destruction, disrupting photosynthesis in plants (Kingston‐Smith et al, 1997). Zhou et al (2017) also showed that cold stress damaged the photosynthetic apparatus of Rhododendron chrysanthemum Pall plants and ceased photochemical activities.…”

Section: Discussionmentioning

confidence: 99%

“…Both stomatal and nonstomatal factors can affect the photosynthesis at low temperatures; that is, cold stress could affect the stomatal activity and carbon metabolism enzymes. Although low temperatures could denature the photosynthetic proteins, the expression of those proteins is enhanced in the cold‐tolerant plants (Zhou et al, 2017). Photosynthesis reduction in sensitive plants is depended on the rate and duration of cold temperature (Lukatkin et al, 2012), which is related to reducing chloroplast efficiency, the quantum yield of PSI and PSII, and ATP synthase (Allen & Ort, 2001).…”

Section: Introductionmentioning

confidence: 99%

Gas exchange variables as promising criteria for screening freezing‐tolerant faba bean (Vicia faba L.) landraces at early growth stages

et al. 2021

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Photosynthesis is one of the parameters first affected by freezing stress. So studying the efficiency of photosynthetic parameters could be an effective strategy in screening freezing‐tolerant genotypes. An experiment was conducted to assess freezing temperature effects (0°C, −4°C, −8°C, −12°C, −16°C, −20°C, and −24°C) on two faba bean landraces (Borujerd and Neyshabur). Leaf chlorophyll and carotenoid content were decreased as the temperature declined below 0°C. Net photosynthetic and transpiration rate declined earlier in Neyshabur, whereas a relatively constant trend was observed in Borujerd at temperatures between 0°C and −12°C. A 43% greater Np was recorded in Borujerd than Neyshabur at −12°C. Np recovered by 30% and 36% in Borujerd and Neyshabur, respectively, on Day 14 compared with the second day of the recovery period. Except for Ci, which showed a relatively constant trend, the other parameters showed a decreasing trend till 7 days after freezing stress (DAF). WUEi increased more significantly in Neyshabur than in Borujerd after the seventh day of the recovery period. With a subtle evaluation of the landraces' freezing tolerance, both landraces LT50su and RDMT50 remained up to −10°C and −12.5°C, respectively, indicating faba bean plants (the landraces here) can tolerate freezing stress up to −10°C (by enduring minor damages). The positive relationship between the survival percentage and Np indicated that Np could be a reliable criterion to screen freezing‐tolerant faba beans at early growth stages.

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Effects of Cold Stress on the Photosynthesis and Antioxidant System of <em>Rhododendron chrysanthum</em> Pall.

Cited by 8 publications

References 21 publications

Landscape genomics reveals genetic evidence of local adaptation in a widespread tree, the Chinese wingnut (Pterocarya stenoptera)

Landscape genomics reveals genetic evidence of local adaptation in a widespread tree, the Chinese wingnut (Pterocarya stenoptera)

Hierarchical Canonical Correlation Analysis Reveals Phenotype, Genotype, and Geoclimate Associations in Plants

Gas exchange variables as promising criteria for screening freezing‐tolerant faba bean (Vicia faba L.) landraces at early growth stages

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