Dataset Information

SK05_Wheat: Proteomic analysis of the effect of plant-derived smoke in wheat under flooding stress

ABSTRACT: Proteomic analysis of the effect of plant-derived smoke in wheat under flooding stress

ORGANISM(S): Triticum Aestivum

SUBMITTER: Setsuko Komatsu

PROVIDER: PXD017690 | JPOST Repository | Thu Apr 13 00:00:00 BST 2023

REPOSITORIES: jPOST

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Dataset's files

Source:

			Action	DRS
	20181204_07_Wheat_cont_1_130m1uL.raw	Raw
	20181204_10_Wheat_cont_2_130m1uL.raw	Raw
	20181204_13_Wheat_cont_3_130m1uL.raw	Raw
	20181204_16_Wheat_flooding_1_130m1uL.raw	Raw
	20181204_19_Wheat_flooding_2_130m1uL.raw	Raw

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Publications

Morphological, Biochemical, and Proteomic Analyses to Understand the Promotive Effects of Plant-Derived Smoke Solution on Wheat Growth under Flooding Stress.

Komatsu Setsuko S Yamaguchi Hisateru H Hitachi Keisuke K Tsuchida Kunihiro K Rehman Shafiq Ur SU Ohno Toshihisa T

Plants (Basel, Switzerland) 20220604 11

Wheat is an important staple food crop for one-third of the global population; however, its growth is reduced by flooding. On the other hand, a plant-derived smoke solution enhances plant growth; however, its mechanism is not fully understood. To reveal the effects of the plant-derived smoke solution on wheat under flooding, morphological, biochemical, and proteomic analyses were conducted. The plant-derived smoke solution improved wheat-leaf growth, even under flooding. According to the functio ...[more]

PMID: 35684281

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Project description:Purpose: The State of Rio Grande do Sul is the largest producer of peaches from Brazil. However, it still has low values of productivity when compared to other States. One of the problems associated to it this is the occurrence of drainage soils problems, which can suffer flooding situations potentially hampering the development and productivity such culture. For studies to assist in the selection of flood tolerant genotypes, it is essential to understand the physiological and molecular changes of the plants in situations of oxygen deprivation. Using Illumina Hiseq2500 we performed transcriptome analysis of leaves from ‘Capdeboscq’ (Prunus persica) and ‘Julior’ (Prunus insititia x Prunus domestica) rootstocks under flooding for 48 hours. Methods: The mRNA of Prunus spp. plants cv. Capdeboscq e Julior was generated using deep sequencing, in triplicate, using Illumina Hi-Seq 2500, for the following treatments:I) control: plants received irrigation daily until field capacity; and II) plants exposed to flood stress, maintaining a water level of approximately 3 cm above the ground. The sequence reads that passed quality filters were analyzed at the transcript level using this method: Mapping using STAR and identification of differentially expressed genes (DEGs) was performed with the edgeR (false discovery rates - FDRs of <0.05). RT–qPCR validation was performed using SYBR Green assays. Results: Flooding stress causes important high transcriptional changes in the ‘Capdeboscq’ compared to 'Julior' and this is mainly due to their sensitivity/tolerance levels. ‘Capdeboscq’ had photosynthesis as the most affected physiological process at the molecular level, showing a large number of down-regulated enriched GOs, even though it activated cellular signaling pathways under flooding. 'Julior' was more efficient in defense responses, which include the activation of flavonoid biosynthesis pathways. Conclusions: The analysis of two Prunus spp. rootstocks contrasting to the level of tolerance / sensitivity provide new insights into the process of plant flood stress tolerance.