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Plant Senescence

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Cover of 'Plant Senescence'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Concepts and Types of Senescence in Plants
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    Chapter 2 Initiation, Progression, and Genetic Manipulation of Leaf Senescence
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    Chapter 3 Phenotypic Analysis and Molecular Markers of Leaf Senescence
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    Chapter 4 Investigation of Petal Senescence by TRV-Mediated Virus-Induced Gene Silencing in Rose
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    Chapter 5 Phenotypic Analysis and Molecular Markers of Plant Nodule Senescence
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    Chapter 6 Quantitative Analysis of Floral Organ Abscission in Arabidopsis Via a Petal Breakstrength Assay
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    Chapter 7 Characterization of Climacteric and Non-Climacteric Fruit Ripening
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    Chapter 8 Ethylene Treatment in Studying Leaf Senescence in Arabidopsis
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    Chapter 9 The Assay of Abscisic Acid-Induced Stomatal Movement in Leaf Senescence
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    Chapter 10 The EPR Method for Detecting Nitric Oxide in Plant Senescence
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    Chapter 11 Hormone Treatments in Studying Leaf Senescence
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    Chapter 12 Methods to Study Darkness-Induced Leaf Senescence
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    Chapter 13 Salt Treatments and Induction of Senescence
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    Chapter 14 Methods for Elucidation of Plant Senescence in Response to C/N-Nutrient Balance
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    Chapter 15 Study of Cotton Leaf Senescence Induced by Alternaria alternata Infection
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    Chapter 16 Study of Hydrogen Peroxide as a Senescence-Inducing Signal
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    Chapter 17 Identification of Postharvest Senescence Regulators Through Map-Based Cloning Using Detached Arabidopsis Inflorescences as a Model Tissue
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    Chapter 18 Chlorophyll and Chlorophyll Catabolite Analysis by HPLC
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    Chapter 19 Identification and Functional Analysis of Senescence-Associated Genes in Wheat
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    Chapter 20 Isolation, Purification, and Detection of Micro RNAs in Plant Senescence
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    Chapter 21 In Situ Detection of Programmed Cell Death in Senescing Nicotiana tabacum Leaves Using TUNEL Assay
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    Chapter 22 Activities of Vacuolar Cysteine Proteases in Plant Senescence
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    Chapter 23 Study of Autophagy in Plant Senescence
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    Chapter 24 Isolation of Chloroplasts for In Organelle Protein Degradation Assay
  26. Altmetric Badge
    Chapter 25 Plant Cell Walls: Isolation and Monosaccharide Composition Analysis
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    Chapter 26 Visualizing Morphological Changes of Abscission Zone Cells in Arabidopsis by Scanning Electron Microscope
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    Chapter 27 RNA-Seq Analysis of the Transcriptome of Leaf Senescence in Tobacco
  29. Altmetric Badge
    Chapter 28 Comprehensive Metabolomics Studies of Plant Developmental Senescence
Attention for Chapter 19: Identification and Functional Analysis of Senescence-Associated Genes in Wheat
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Chapter title
Identification and Functional Analysis of Senescence-Associated Genes in Wheat
Chapter number 19
Book title
Plant Senescence
Published in
Methods in molecular biology, January 2018
DOI 10.1007/978-1-4939-7672-0_19
Pubmed ID
Book ISBNs
978-1-4939-7670-6, 978-1-4939-7672-0
Authors

Geng Wang, Ke Li, Chunjiang Zhou

Abstract

Senescence is the final stage of leaf development. During this process, different macromolecules undergo degradation, and the resulting components are transported to developing and storage tissues of the plant. Senescence-associated genes (SAGs) play important roles in this process. Identification and characterization of SAGs are the first steps to interpret the function of these genes and to elucidate the mechanisms of leaf senescence. One of the most effective ways to identify SAGs is to screen for candidate genes using massive genome-scale transcriptomic data such as microarray, RNA-seq, digital RNA expression level data, etc. The basic functional analysis of candidate genes is to observe the phenotypes of transgenic plants, in which the candidate SAGs are overexpressed, knocked down, or knocked out. In this chapter, we outline methods for identifying and characterizing SAGs by microarray analysis in wheat. Methods of gene functional analyses by screening transgenic plants are also described. The protocols described in this chapter could also be used in other plant species, especially for Poaceae plants.

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The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 33%
Other 1 33%
Unknown 1 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 33%
Medicine and Dentistry 1 33%
Unknown 1 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 11 January 2019.
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#18,585,544
of 23,020,670 outputs
Outputs from Methods in molecular biology
#7,965
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Outputs of similar age
#330,572
of 442,354 outputs
Outputs of similar age from Methods in molecular biology
#950
of 1,498 outputs
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