Systematic biology analysis on photosynthetic carbon metabolism of maize leaf following sudden heat shock under elevated CO2

Scientific Reports
Mingnan QuR C Sicher

Abstract

Plants would experience more complex environments, such as sudden heat shock (SHS) stress combined with elevated CO2 in the future, and might adapt to this stressful condition by optimizing photosynthetic carbon metabolism (PCM). It is interesting to understand whether this acclimation process would be altered in different genotypes of maize under elevated CO2, and which metabolites represent key indicators reflecting the photosynthetic rates (PN) following SHS. Although B76 had greater reduction in PN during SHS treatment, our results indicated that PN in genotype B76, displayed faster recovery after SHS treatment under elevated CO2 than in genotype B106. Furthermore, we employed a stepwise feature extraction approach by partial linear regression model. Our findings demonstrated that 9 key metabolites over the total (35 metabolites) can largely explain the variance of PN during recovery from SHS across two maize genotypes and two CO2 grown conditions. Of these key metabolites, malate, valine, isoleucine, glucose and starch are positively correlated with recovery pattern of PN. Malate metabolites responses to SHS were further discussed by incorporating with the activities and gene expression of three C4 photosynthesis-related k...Continue Reading

References

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Aug 28, 2014·Journal of Proteome Research·Hai JinXianfu Gao

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Citations

Jun 25, 2019·Journal of Experimental Botany·Mostafa AbdelrahmanLam-Son Phan Tran
Feb 16, 2021·Frontiers in Plant Science·Angelica GalieniMichele Pisante
Jul 31, 2021·Plant Communications·David B MedeirosAlisdair R Fernie
Jul 17, 2021·Journal of Experimental Botany·Cristina R G SalesJohannes Kromdijk

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Methods Mentioned

BETA
feature extraction

Software Mentioned

Agilent MSD C hemstation

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