Primary carbon metabolism-related changes in cucumber exposed to single and sequential treatments with salt stress and bacterial infection

Chojak-Koźniewska, Joanna; Kużniak, Elźbieta; Linkiewicz, Anna; Sowa, S.

doi:10.1016/j.plaphy.2017.12.015

Cited by 22 publications

(21 citation statements)

References 52 publications

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“…A considerable number of metabolic pathways related to both BACs and the selected scaffolds were also detected. However, specific pathways were found to be associated with these scaffolds, mainly due to the different roles of the proteins encoded by these identified CDSs and because these pathways were already reported as being associated with plant responses to different pathogens 123,[128][129][130][131][132][133][134][135] , further corroborating our findings. The indication of possible mutation events in these regions provides evidence of differences in protein expression and phenotypic characteristics.…”

Section: Discussionsupporting

confidence: 89%

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

Aono

Costa

Rody

et al. 2020

Preprint

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Sugarcane is an economically important crop, but its genomic complexity has hindered advances in molecular approaches for genetic breeding. New cultivars are released based on the identification of interesting traits, and for sugarcane, brown rust resistance is a desirable characteristic due to the large economic impact of the disease. Although marker-assisted selection for rust resistance has been successful, the genes involved are still unknown, and the associated regions vary among cultivars, thus restricting methodological generalization. We used genotyping by sequencing of full-sib progeny to relate genomic regions with brown rust phenotypes. We established a pipeline to identify reliable SNPs in complex polyploid data, which were used for phenotypic prediction via machine learning. We identified 14,540 SNPs, which led to a mean prediction accuracy of 50% by using different models. We also tested feature selection algorithms to increase predictive accuracy, resulting in a reduced dataset with more explanatory power for rust phenotypes. Using different feature selection techniques, we achieved accuracy of up to 95% with a dataset of 131 SNPs related to brown rust QTL regions and auxiliary genes. Therefore, our novel strategy has the potential to assist studies of the genomic organization of brown rust resistance in sugarcane. 3/154/15 10/15

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Section: Discussionsupporting

confidence: 89%

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

Aono

Costa

Rody

et al. 2020

Preprint

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“…The results in our study showed that the ratio of Fv/Fm varied from 0.78 to 0.80 and 0.78 to 0.81 in the pot and field experiments, respectively. It has already been proved that the value of Fv/Fm is usually from 0.79 (Chojak-Kozniewska et al 2018) to 0.85 (Kalaji and Guo 2008) when seedlings are not influenced by environmental conditions. Accordingly, ΦPSII significantly increased by inoculation and fertilization treatments as compared to the control.…”

Section: Discussionmentioning

confidence: 99%

Leaf photosynthetic characteristics and photosystem II photochemistry of rice (Oryza sativa L.) under potassium-solubilizing bacteria inoculation

Khanghahi¹,

Pirdashti²,

Rahimian³

et al. 2019

Photosynt.

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The current research was performed to investigate the effects of three potassium-solubilizing bacteria (KSB) strains (Pantoea agglomerans, Rahnella aquatilis, and Pseudomonas orientalis) on leaf photosynthetic characteristics in rice (Oryza sativa L. cv. Pajohesh). A pot and a field experiment were conducted in a paddy field. The results indicated that the KSB inoculums significantly enhanced chlorophyll (Chl) a, Chl a+b, SPAD value, and stomatal conductance as compared to the control in both experiments, especially when applied along with half the recommended dose of the potassium chemical fertilizer. KSB inoculations, alone or combined with K fertilizer, significantly increased the value of photochemical quenching, photosynthetic electron transport rate, and the effective quantum efficiency as compared to the control. In conclusion, these native KSB strains could be used as inoculants to reduce consumption of K chemical fertilizer and improve the efficiency of photosynthesis for rice production under the flooding irrigation conditions.

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“…Changes in the photosynthetic apparatus also play an important regulatory role via retrograde signaling ( Gollan et al, 2015 ). In cucumber sequentially exposed to NaCl and Psl , Fv/Fm and photochemical quenching coefficient (qP) which quantify the photochemical efficiency, decreased, and the single stress scenarios of perturbations of PSII were changed under combined stress, e.g., qP was significantly decreased only in plants exposed to NaCl and Psl ( Chojak-Koźniewska et al, 2018 ). The interaction of NaCl and Psl strongly reduced the cucumber capacity to recover leaf photochemistry after salt stress alleviation when compared to plants subjected to single stress (Figure 1 ).…”

Section: Case Study: Cucumber Response To Sequential Salt Stress and mentioning

confidence: 99%

“… The effect of salt stress and Pseudomonas syringae pv lachrymans (Psl) infection applied individually and in combination on photochemical activity of photosynthesis, carbon metabolism, antioxidant defense and hormonal balance in leaves and roots of cucumber plants ( Chojak et al, 2012 ; Chojak-Koźniewska, 2017 ; Chojak-Koźniewska et al, 2017 , 2018 ). Plants were pretreated for 7 days with 100 mM NaCl and then infected with Psl .…”

Section: Case Study: Cucumber Response To Sequential Salt Stress and mentioning

confidence: 99%

The Effects of Combined Abiotic and Pathogen Stress in Plants: Insights From Salinity and Pseudomonas syringae pv lachrymans Interaction in Cucumber

2018

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Plants are often challenged by abiotic and biotic stresses acting in combination and the response to combinatorial stress differs from that triggered by each factor individually. Although salinity and pathogens are major stressors limiting plant growth and productivity worldwide, their interaction is poorly understood. The reactions to pathogens overlap with those to abiotic stresses, and reactive oxygen species (ROS) and stress hormones represent central nodes in the interacting signaling pathways. Usually, abiotic stress negatively affects plant susceptibility to disease. Specific focus of this review is on cucumber plants exposed to salt stress and thereafter infected with Pseudomonas syringae pv lachrymans (Psl). We addressed this problem by discussing the changes in photochemistry, the antioxidant system, primary carbon metabolism, salicylic acid (SA) and abscisic acid (ABA) contents. Salt-treated plants were more prone to infection and this effect was determined by changes in the hormonal and redox balance as well as the carboxylate metabolism and activities of some NADPH-generating enzymes. Our detailed understanding of the interactive effects of biotic and abiotic stresses is fundamental to achieve enhanced tolerance to combination stress in agronomically important crops.

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Primary carbon metabolism-related changes in cucumber exposed to single and sequential treatments with salt stress and bacterial infection

Cited by 22 publications

References 52 publications

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

Machine learning approaches reveal genomic regions associated with sugarcane brown rust resistance

Leaf photosynthetic characteristics and photosystem II photochemistry of rice (Oryza sativa L.) under potassium-solubilizing bacteria inoculation

The Effects of Combined Abiotic and Pathogen Stress in Plants: Insights From Salinity and Pseudomonas syringae pv lachrymans Interaction in Cucumber

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