High infestation levels of Schizotetranychus oryzae severely affects rice metabolism

Blasi, Édina A.R.; Buffon, Giseli; Rativa, Angie Geraldine Sierra; Lopes, Mara Cristina Barbosa; Berger, Markus; Santi, Lucélia; Lavallée‐Adam, Mathieu; Yates, John R.; Schwambach, Joséli; Beys‐da‐Silva, Walter O.; Sperotto, Raul Antônio

doi:10.1016/j.jplph.2017.10.005

Cited by 13 publications

(14 citation statements)

References 53 publications

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“…To date, there is little information about the damage and economic loss caused by S. oryzae infestation in rice crops, and the available information is usually related to visual effects of the plant. Recently, our group described differentially abundant proteins in rice leaves early infested (EI) ( Buffon et al, 2016 ) and late-infested (LI) ( Blasi et al, 2017 ) by S. oryzae , along with the physiological changes induced by such different mite populations. However, the response variability of distinct rice genotypes to S. oryzae infestation is unknown, and the molecular and physiological changes caused by infestation in resistant/tolerant and susceptible rice cultivars have not yet been elucidated.…”

Section: Introductionmentioning

confidence: 99%

Unraveling Rice Tolerance Mechanisms Against Schizotetranychus oryzae Mite Infestation

et al. 2018

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Rice is the staple food for over half of the world’s population. Infestation of Schizotetranychus oryzae (Acari: Tetranychidae) causes great losses in rice productivity. To search for rice genotypes that could better tolerate S. oryzae infestation, we evaluated morphological and production parameters in Brazilian cultivars, and identified two cultivars with contrasting responses. Leaf damage during infestation was similar for all cultivars. However, infestation in Puitá INTA-CL resulted in reduction in the number of seeds per plant, percentage of full seeds, weight of 1,000 seeds, and seed length, whereas infestation in IRGA 423 increased weight of 1,000 seeds and seed length. Reduction in seed weight per plant caused by infestation was clearly higher in Puitá INTA-CL (62%) compared to IRGA 423 (no reduction detected), thus Puitá INTA-CL was established as susceptible, and IRGA 423 as tolerant to S. oryzae infestation. Photosynthetic parameters were less affected by infestation in IRGA 423 than in Puitá INTA-CL, evidencing higher efficiency of energy absorption and use. S. oryzae infestation also caused accumulation of H2O2, decreased cell membrane integrity (indicative of cell death), and accelerated senescence in leaves of Puitá INTA-CL, while leaves of IRGA 423 presented higher levels of total phenolics compounds. We performed proteomics analysis of Puitá INTA-CL and IRGA 423 leaves after 7 days of infestation, and identified 60 differentially abundant proteins (28 more abundant in leaves of Puitá INTA-CL and 32 in IRGA 423). Proteins related to plant defense, such as jasmonate synthesis, and related to other mechanisms of tolerance such as oxidative stress, photosynthesis, and DNA structure maintenance, together with energy production and general metabolic processes, were more abundant in IRGA 423. We also detected higher levels of silicon (as amorphous silica cells) in leaves of infested IRGA 423 plants compared to Puitá INTA-CL, an element previously linked to plant defense, indicating that it could be involved in tolerance mechanisms. Taken together, our data show that IRGA 423 presents tolerance to S. oryzae infestation, and that multiple mechanisms might be employed by this cultivar. These findings could be used in biotechnological approaches aiming to increase rice tolerance to mite infestation.

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Section: Introductionmentioning

confidence: 99%

Unraveling Rice Tolerance Mechanisms Against Schizotetranychus oryzae Mite Infestation

et al. 2018

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“…Membrane integrity is crucial to cell viability. High levels of membrane integrity loss are clear symptoms of cell death (47,48). The percentage of death cells is an important parameter for leaf senescence.…”

Section: Discussionmentioning

confidence: 99%

Karrikinolide Promotes Seed Germination but Has no Effect on Leaf Segment Senescence in Triticum aestivum L.

Sağlam¹,

Duygun²,

Kaya³

et al. 2019

Eur J Biol

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Objective: Germination and senescence are the two most important developmental processes in the plant life cycle. While seed germination is an important physiological event for the continuity of species, leaf senescence is also an important developmental process that impacts crop yields. Karrikins are a group of plant growth regulators found in the smoke generated by burning plant material. It has been suggested that karrikinolide (KAR1) is generally the most active karrikin in terms of stimulating germination. Materials and Methods: In this study, the effect of karrikinolide on germination and leaf segment senescence in wheat was investigated. For this purpose, control, 1 nM, 0.01, 0.1, 1, and 10 μM KAR1 solutions were used. Firstly, the wheat seeds were germinated in the dark in these solutions and germination percentages and root lengths were measured. Secondly, 4 of first leaf segments (3cm. each) from 10-day-old wheat seedlings were placed in petri dishes containing 1, 10, 100 μM KAR1 and distilled water as a control. Following incubation, fresh weight, chlorophyll content, cell death amounts and total protein amounts were determined. Results: The obtained data shows that 1 μM KAR1 promotes germination and root length to the greatest extent. This suggests that karrikins have a promoting effect on the germination of wheat seeds. Our results demonstrate that KAR1 has no effect on leaf segment senescence. Conclusion: Our study suggests that KAR1 has the potential to be used in agriculture to improve germination and seedling growth of crop species.

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“…Many of these limitations were improved over the years and many laboratories still use these methodologies. However, the evolution of proteomic technologies based on the combination of liquid chromatography (LC) and mass spectrometry (MS) [ 54 ] is strongly attracting the attention of plant biologists, and some topics, including tissue profiling [ 27 , 55 ], stages of development [ 30 , 56 ] and proteome modulation between physiological and stress conditions [ 23 , 24 ], have been already addressed.…”

Section: Omic Technologies In the Plant World: From Genomics To Mementioning

confidence: 99%

“…On the contrary, fewer studies relied on the combination of high-throughput proteomic data and protein-protein interaction (PPI) network models [ 20 , 21 , 22 ]. However, in the last few years an increasing number of authors focused their activity on the high-throughput profiling of plant proteomes [ 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 ] as well as on the experimental [ 31 , 32 , 33 ] and computational detection of PPIs [ 34 , 35 , 36 , 37 ].…”

Section: Introductionmentioning

confidence: 99%

Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World

et al. 2018

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The investigation of plant organisms by means of data-derived systems biology approaches based on network modeling is mainly characterized by genomic data, while the potential of proteomics is largely unexplored. This delay is mainly caused by the paucity of plant genomic/proteomic sequences and annotations which are fundamental to perform mass-spectrometry (MS) data interpretation. However, Next Generation Sequencing (NGS) techniques are contributing to filling this gap and an increasing number of studies are focusing on plant proteome profiling and protein-protein interactions (PPIs) identification. Interesting results were obtained by evaluating the topology of PPI networks in the context of organ-associated biological processes as well as plant-pathogen relationships. These examples foreshadow well the benefits that these approaches may provide to plant research. Thus, in addition to providing an overview of the main-omic technologies recently used on plant organisms, we will focus on studies that rely on concepts of module, hub and shortest path, and how they can contribute to the plant discovery processes. In this scenario, we will also consider gene co-expression networks, and some examples of integration with metabolomic data and genome-wide association studies (GWAS) to select candidate genes will be mentioned.

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High infestation levels of Schizotetranychus oryzae severely affects rice metabolism

Cited by 13 publications

References 53 publications

Unraveling Rice Tolerance Mechanisms Against Schizotetranychus oryzae Mite Infestation

Unraveling Rice Tolerance Mechanisms Against Schizotetranychus oryzae Mite Infestation

Karrikinolide Promotes Seed Germination but Has no Effect on Leaf Segment Senescence in Triticum aestivum L.

Large Scale Proteomic Data and Network-Based Systems Biology Approaches to Explore the Plant World

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