Dataset Information

Proteomic and Physiological Signatures of Altitude Adaptation in a Population under Common Garden Conditions

ABSTRACT: Plants exhibit phenotypic plasticity in response to environmental variations, which can lead to stable genetic and physiological adaptations if exposure to specific conditions is prolonged. Myrsine coriacea, a shrub with a broad phenotypic range, demonstrates this through its ability to thrive in diverse environments. The objective of the article is to investigate the adaptive responses of M. coriacea by cultivating plants from seeds collected at four different altitudes in a common garden experiment. Through integrated physiological and proteomic analyses, we identified 170 differentially accumulated proteins and observed significant physiological differences among the populations. The high-altitude population (POP1) exhibited a unique proteomic profile with significant down-regulation of proteins involved in carbon fixation and energy metabolism, suggesting a potential reduction in photosynthetic efficiency. Physiological analyses corroborated these findings, showing lower leaf nitrogen content, net CO2 assimilation rate, specific leaf area, and relative growth rate in stem height for POP1, alongside higher leaf carbon isotopic composition (δ13C) and leaf carbon (C) content. These findings provide insight into the complex interplay between proteomic and physiological adaptations in M. coriacea and underscore the importance of local adaptations in the face of climate change. This study enhances our understanding of how altitude-specific selection pressures can shape plant molecular biology and physiology, offering valuable perspectives for predicting plant responses to global environmental changes

INSTRUMENT(S): SYNAPT G2-Si

ORGANISM(S): Myrsine Coriacea

TISSUE(S): Plant Cell, Leaf

SUBMITTER: Vanildo Silveira

LAB HEAD: Vanildo Silveira

PROVIDER: PXD047424 | Pride | 2025-02-03

REPOSITORIES: pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 15

Similar Datasets

Project description:Constituting the final growth phase during the lifecycle of maize (Zea Mays L.), leaf senescence plays an important biological role in grain yield in crops. We undertook proteomic and physiological analyses in inbred line Yu816 in order to unravel the underlying mechanisms of leaf senescence induced by preventing pollination. A total of 6,941 proteins were identified by Isobaric tags for Relative and Absolute Quantitation (iTRAQ) analysis. Proteomic analyses between pollinated (POL) and non-pollinated (NONPOL) plants indicated that 973 different proteins accumulated in NONPOL plants. The accumulated proteins were classified into various groups, including response to stimuli, cellular processes, cell death and metabolic processes using functional analysis. Furthermore, in accordance with the changes in these different accumulated proteins, analysis of changes in leaf total soluble sugars and starch content showed that the prevention of pollination can disturb endogenousplant hormone and sugar metabolism and lead to ROS bursts, protein degradation and photosystem breakdown, eventually resulting in leaf senescence. This represents the first attempt at global proteome profiling in response to induced leaf senescence by preventing pollination in maize, and provides a better understanding of the molecular mechanisms involved in induced leaf senescence.Constituting the final growth phase during the lifecycle of maize (Zea Mays L.), leaf senescence plays an important biological role in grain yield in crops. We undertook proteomic and physiological analyses in inbred line Yu816 in order to unravel the underlying mechanisms of leaf senescence induced by preventing pollination. A total of 6,941 proteins were identified by Isobaric tags for Relative and Absolute Quantitation (iTRAQ) analysis. Proteomic analyses between pollinated (POL) and non-pollinated (NONPOL) plants indicated that 973 different proteins accumulated in NONPOL plants. The accumulated proteins were classified into various groups, including response to stimuli, cellular processes, cell death and metabolic processes using functional analysis. Furthermore, in accordance with the changes in these different accumulated proteins, analysis of changes in leaf total soluble sugars and starch content showed that the prevention of pollination can disturb endogenousplant hormone and sugar metabolism and lead to ROS bursts, protein degradation and photosystem breakdown, eventually resulting in leaf senescence. This represents the first attempt at global proteome profiling in response to induced leaf senescence by preventing pollination in maize, and provides a better understanding of the molecular mechanisms involved in induced leaf senescence.

Project description:In order to pinpoint the most differentially expressed genes between Eucalyptus grandis leaf blades and vascular (xylem) tissues as well as between E. grandis and Eucalyptus globulus xylem tissues, a total number of nine 50mer-oligoprobes covering the length of each one of 21,432 unique sequences derived from the Genolyptus EST dataset were synthesized “on-chip” in duplicate, randomly distributed in two blocks of each slide. Probes were also synthesized from ten cDNA sequences encoding known human proteins as negative controls, totaling 21,442 sequences. Leaves and xylem samples were taken from two E. grandis clonal trees, i.e., both derived from the same matrix tree and harboring the same genotype. Two additional xylem samples were collected from two other E. grandis clonal trees of a different genotype, as well as from two E. globulus clonal trees. Therefore, ten cDNA samples and ten identical chips were produced at Roche NimbleGen for the microarray assays, with a total number of 385,956 features per slide. Besides the discovery of differentially expressed genes between leaf and xylem, we wanted to test the validity of the assumed “technical” and “biological duplicates” since all trees were field-grown and four years-old in age. A ten chip study using total RNA recovered from mature leaf and vascular (xylem) tissues of Eucalyptus grandis and xylem from Eucalyptus globulus trees. Two clonal trees of E. grandis (E.grandis_Clone A_Ramet 1 and E.grandis_Clone A_Ramet 2), derived from a single matrix tree and therefore genomically identical, were the source of two samples of leaf RNA and two samples of xylem RNA, individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Two other clonal trees of E. grandis (E.grandis_Clone B_Ramet 1 and E.grandis_Clone B_Ramet 2), derived from a different matrix tree, were the source of two additional samples of xylem RNA individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Likewise, two pairs of clonal trees of E. globulus (E.globulus_Clone A_Ramet 1 and E.globulus_Clone A_Ramet 2/ E.globulus_Clone B_Ramet 1 and E.globulus_Clone B_Ramet 2), derived from two distinct matrix trees, were the source of four additional samples of xylem RNA, individually hybridized to four chips after cDNA synthesis/Cy3 labeling. Each chip measures the expression level of 21,432 genes from Eucalyptus sp. and ten human genes (negative controls) with nine 50-mer probe pairs (PM/MM) per gene in two separate blocks per chip (technical duplicate), totalizing 18 hybridization signal values per gene per chip.

Project description:Cell-type specific transcriptional profiles were generated by FACS (Fluorescence Activated Cell Sorting) sorting of roots that express cell-type specific GFP-reporters. Four different GFP-reporter lines were utilized allowing us to obtain transcriptional profiles for cells in major radial zones of the root. FACS cell populations were isolated from roots grown under standard conditions or roots that had been transfered to media supplemented with 140 mM NaCl for 1 hour, 3 hours, 8 hours, 20 hours, 32 hours and 48 hours. Plant environmental responses involve dynamic changes in growth and signaling, yet little is understood as to how progress through these temporal events is controlled. In this study we explore the phenotypic and transcriptional events involved in the acclimation of the Arabidopsis seedling root to a rapid change in salinity. Using live-imaging analysis, we show that growth is dynamically regulated with a period of growth quiescence followed by growth recovery and homeostasis. Through the development and analysis of a new high-resolution spatiotemporal transcriptional map, we have identified the key hormone signaling pathways that regulate specific transcriptional programs, predict their spatial domain of action and link the activity of these pathways to the control of specific phases of growth control. Through the use of tissue-specific approaches to suppress the ABA pathway, we demonstrate that ABA signaling likely acts in select tissue layers to control spatially localized transcriptional programs and promote growth recovery. In addition to the biological pathways directly affecting growth, we show that salt also controls many tissue-specific and time-point specific transcriptional responses that are expected to modify water transport, Casparian strip formation and protein translation. Together, our data reveal a sophisticated assortment of regulatory programs acting together to coordinate spatially patterned biological changes involved in the immediate and long-term response to a stressful shift in environment. 4 different GFP reporter lines were used to isolate specific populations of cells from the Arabidopsis root using FACS sorting of protoplasted cells. GFP-reporter lines were grown under standard conditions before protoplasting and sorting or they were transfered to media supplemented with 140mM NaCl for a series of time: 1 hour, 3 hours, 8 hours, 20 hours, 32 hours and 48 hours before hand, as well as standard controls for 1 hour and 48 hours. 3 replicates for each condition was used.

			Action	DRS
	2020_10_24_P1B1.raw.zip	Raw
	2020_10_24_P1B2.raw.zip	Raw
	2020_10_24_P1B3.raw.zip	Raw
	2020_10_24_P2B1.raw.zip	Raw
	2020_10_24_P2B2.raw.zip	Raw

Dataset Information

Proteomic and Physiological Signatures of Altitude Adaptation in a Population under Common Garden Conditions

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets