Name: maize leaf LC-MSMS
Keywords: Maize leaf lc-msms

Dataset Information

Maize leaf LC-MSMS

ABSTRACT: 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.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Zea Mays (maize)

TISSUE(S): Leaf

SUBMITTER: Liancheng Wu

LAB HEAD: Yanhui Chen

PROVIDER: PXD007095 | Pride | 2022-03-02

REPOSITORIES: Pride

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Publications

Comparative proteomic analysis of the maize responses to early leaf senescence induced by preventing pollination.

Wu Liancheng L Wang Shunxi S Tian Lei L Wu Liuji L Li Mingna M Zhang Jun J Li Pei P Zhang Weiqiang W Chen Yanhui Y

Journal of proteomics 20180214

The aim of this study was to explore the molecular mechanisms of induced leaf senescence by preventing pollination in maize using a proteomic method combined with other physiological methods. An elite maize inbred line Yu816 was selected for evaluation of its senescence mechanism. Phenotypic and chlorophyll content analysis revealed that the onset of leaf senescence occurred earlier in non-pollinated (NONPOL) leaves than pollinated (POL) leaves. Leaf protein species of NONPOL and POL leaves were ...[more]

PMID: 29454112

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Project description:Survey of post pollination events in a sexually deceptive orchid (Ophrys fusca): a transcriptional approach Pollination through deception is a widespread phenomenon in angiosperm, and is extremely common in Orchidaceae family. One of the most striking pollination mechanism in orchids is known as sexual deception, in which flowers lure pollinators by foraging chemical (sex pheromones), visual (e.g. labellum colour and/or shape) and tactile (e.g. labellum pilosity) cues of the female insect pollinator. Ophrys has been used as a model genus to study sexual deception mechanism, mainly regarding chemical analysis in plant-insect association. Study was focused on Ophrys fusca, a species widely distributed in Mediterranean Basin. The main objective rely on Ophrys fusca gene expression study after pollination, through a transcriptional approach using cDNA microarrays. In order to evaluate pollination enhanced events, two different time points were selected: 2 days and 4 days after pollination. Ophrys fusca plants were sampled from a Portuguese natural occurring population. Plants were covered with a white and inert net, built specially for preventing pollinator’s visits in both pollinated and unpollinated flowers. Cross- pollination was performed manually with a sterile plastic stick. Five biological replicates (5 plants in each replicate) from each condition (pollinated and unpollinated) were collected in each time-point Flowers that demonstrate strict pollination regulation, as orchids, provide an excellent model system to unravel pollination- elicited mechanisms (i.e. petal senescence, pigmentation changes, ovary growth). Therefore, this study aims to contribute to the overall knowledge on orchid pollination biology, which is still lacking. 2 time points: 2 days and 4 days after pollination.Two-samples accessed: control (nonpollinated labella) and test (pollinated labella). 5 Biological replicates and 2 technical replicates (repeats of labelling and hybridization using randomly chosen biological replicates) in each time point were made.

Project description:Leaf senescence is an essential developmental process that involves altered regulation of thousands of genes and changes in many metabolic and signaling pathways resulting in massive physiological and structural changes in the leaf. The regulation of senescence is complex and although several senescence regulatory genes have been identified and characterized there is little information on how these individual regulators function globally in the control of the process. In this paper we use microarray analysis to obtain a high-resolution time course profile of gene expression during development of a single leaf over a three week period from just before full expansion to senescence. The multiple time points enable the use of highly informative clustering tools to reveal distinct time points at which signaling and metabolic pathways change during senescence. Analysis of motif enrichment in co-regulated gene clusters identifies clear groups of transcription factors active at different stages of leaf development and senescence. A novel experimental design strategy (A Mead et al, in preparation), based on the principle of the “loop design”, was developed to enable efficient extraction of information about key sample comparisons using a two-colour hybridisation experimental system. With 88 distinct samples (four biological replicates at each of 22 time points) to be compared, the experimental design included 176 two-colour microarray slides, allowing four technical replicates of each sample to be observed. Half of the slides were devoted to assessment of changes in gene expression between time points, using a simple loop design to link 11 samples from either the 7h time points or the 14h time points across the 11 sampling days, directly comparing samples collected on adjacent sampling days (i.e. 19 DAS with 21 DAS, 27 DAS with 29 DAS, etc.), and directly comparing the samples collected at 39 DAS with those collected at 19 DAS. Four separate loops were constructed for the 7h time points and for the 14h time points, using the arbitrary biological replicate labelling to identify the samples to be included in each loop. The remaining slides provided assessment of differences between the 7h and 14h samples and between the arbitrarily labelled biological replicates, with some further assessment of changes between sampling days. All direct comparisons (pairs of samples hybridised together on a slide) were between 7h and 14h samples collected on adjacent sampling days (i.e. 19 DAS with 21 DAS, etc.), including comparisons between samples collected at 39 DAS and at 19 DAS, and different arbitrarily labelled biological replicates. These 88 comparisons formed a single loop connecting all 88 treatments, therefore ensuring that the design was fully connected (allowing each sample to be compared with every other sample).

Dataset Information

Maize leaf LC-MSMS

Publications

Comparative proteomic analysis of the maize responses to early leaf senescence induced by preventing pollination.

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