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Plant Physiol, January 2001, Vol. 125, pp. 77-80
Weaving the Complex Web of Signal Transduction
Joanne
Chory* and
Dongying
Wu
Howard Hughes Medical Institute and Plant Biology Laboratory, The
Salk Institute for Biological Studies, La Jolla, California 92037 (J.C.); and The Institute for Genomic Research, Rockville, Maryland
20850 (D.W.)
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INTRODUCTION |
"Signal transduction" is the
term commonly used to define the diverse array of biochemical
mechanisms that regulate cellular physiology. The term "signal
transduction" became popular in the early 1980s and now it is
considered one of the most intensively studied areas of modern cell
biology. This field's fast-paced progress is well illustrated by
the results of two PubMed searches (http://www.ncbi.nlm.nih.gov/PubMed/). In 1975, there
were no papers retrieved when "signal transduction" was used to
query the database. However, during the past year, almost 10,000 papers were published in the "signal transduction" field. The amount of
data being generated in the cell signaling field is so immense that the
journal Science has created a World Wide Web-based signal transduction knowledge environment (http://www.stke.org/)!
Although animal and fungal model systems have had the largest impact on
understanding the biochemical mechanisms of signal transduction, the
analysis of signaling pathways in plants has come far since the
pioneering studies which identified phytochrome as the first receptor
in plants (4). Phytochrome was the only receptor known in plants until
the early 1990s when a number of candidate receptors were identified.
Among the first to be cloned were the S-receptor-like kinases (18), the
cryptochromes (1), and the His kinase candidate for the ethylene
receptor (6). Shortly after, a number of candidate receptors were
identified, including a variety of disease resistance receptors (8) and
receptor Ser-Thr kinases controlling plant development (12). With the
completion of the sequence of the reference plant Arabidopsis, it is
now clear that plants devote about 10% of their approximately 25,000 genes to receptors and other signaling components, such as protein kinases and phosphatases and transcription factors. Still, very little
is known about growth factors or other ligands for these receptors, and
there is scant information on the biological role of second messengers
or scaffolding proteins in plants. In this brief perspective, we will
review physiological and genetic evidence for the existence of complex
signaling networks in plants, focusing on light and hormone signal
transduction cross talk. We will then discuss the complexities in plant
cell signaling revealed by the completion of the genome sequence of Arabidopsis.
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COMPLEX INTERACTIONS BETWEEN PLANT PHOTORECEPTOR SIGNALING
PATHWAYS |
Because they are both sessile and photosynthetic, plants have
evolved multiple photoreceptor systems for perceiving the quality, quantity, duration, and direction of light in their surrounding environment. Due to the work of many laboratories, using a variety of
approaches, the molecular identities of at least three classes of
photoreceptors are known: the red/far-red-absorbing phytochromes, the
blue-UV-A-absorbing cryptochromes, and the blue-absorbing phototropins.
The mechanisms by which these photoreceptors signal is addressed in the
excellent review by Briggs and Olney (5). Here, we simply want to
discuss the genetic and physiological evidence for complex interactions
between the phytochromes and cryptochromes that suggest that light
control of development one of the most intensively studied signaling
systems in plants is the result of information processing by a complex
signaling network.
Elegant genetic studies in Arabidopsis have shown that phytochrome
signaling involves a complex web of interactions (13). The phytochromes
sometimes act independently of one another, but in certain growth
conditions and times of development, they may also act redundantly or
antagonistically. The genetic complexity of phytochrome signaling has
been underscored by biochemical studies in which diverse proteins have
been found that interact directly with various domains of phytochromes.
Three of these proteins PIF3, a nuclear-localized basic
helix-loop-helix transcription factor; PKS1, a novel cytoplasmic
protein that is phosphorylated by phytochrome; and nucleoside
diphosphate kinase 2, whose activity is regulated by phytochrome are
the best characterized (16). These three proteins are not structurally
or functionally related and appear to interact with different domains
of phytochromes. Thus, these proteins do not share a common mechanism
of communication with phytochrome.
Genetic analysis has also shown that there is a complex signaling
network, not only between phytochromes, but also between phytochromes
and the cryptochromes. These studies demonstrate a complex web of
interactions within and between the two classes of photoreceptors,
including redundancy, antagonism, and effector/modulator relationships.
Although the mechanisms of integration of red and blue light signals
are not clear, one recent study points to a direct interaction of
phytochrome and cryptochromes, in which both cry1 and cry2 were shown
to be phosphorylated by phytochrome in vitro, and in vivo, cry1
phosphorylation was red-light dependent (2). A novel
photoreceptor with homology to both phytochrome and phototropin has recently been isolated from the fern Adiantum capillus-veneris (14). In this case, the co-action
between blue and red light in phototropism may be through a single photoreceptor.
Genetic and molecular screens have identified a large number of genes
acting downstream of photoreceptors (>50; Fig.
1; Refs. 10, 11, 13). Because different
spectral qualities trigger the same developmental responses using
different photoreceptors, it is very likely that common late-acting
signaling intermediates are used. Mutants in such genes are expected to
have the same phenotypes irrespective of light quality. Such loci have
been identified. The best-studied class consists of mutants that
de-etiolate even in the absence of light (cop,
det, fus mutant class). These are pleiotropic,
recessive mutations affecting many aspects of plant development, and
the proteins encoded are generally considered to be late-acting
negative regulators of the light signaling pathways. Early signaling
intermediates are expected to have a phenotype only under the specific
light conditions activating their photoreceptor. Such mutants have been
further classified into genes that affect phyA signaling (defective in
far-red light), phyB signaling (defective in red light), or both
phyA and phyB signaling (defective in both red and far-red light).
These mutations define greater than 20 loci, and the proteins
have been found in multiple subcellular compartments (Fig. 1). Thus, in
the light signaling networks, there are direct interactions of
photoreceptors, as well as cross talk and integration of pathways both
early and late in the signaling network.

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Figure 1.
Simplified version of the photoreceptor signaling
network controlling seedling development. Cloned genes for
nuclear-localized proteins are in red, whereas those that are
cytoplasmic are green. Genetically defined genes are indicated in blue.
Negative regulators are underlined. Proteins that interact directly
with phytochrome are boxed.
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CROSS TALK IN PLANT HORMONE SIGNALING |
The plant hormone signaling pathways are among a set of core
pathways that are used repeatedly in many different developmental contexts. Thus, it is not surprising that plant hormones affect many of
the same molecular and physiological processes, such as the control of
cell expansion and divisions that define the architecture of vascular
plants. Since the classic tissue culture experiments of Skoog and his
collaborators (15), it has been known that the ratio of auxin to
cytokinin regulates morphogenesis in cultured cells and tissues, and
that auxin/cytokinin polarity within a plant defines the architecture
of that plant (e.g. the number of lateral branches in the shoot and
lateral roots below the ground). The complex interactions in plant
hormone signaling are seen in many physiological responses. For
instance, gibberellins, auxin, and brassinosteroids have a stimulatory
effect on hypocotyl elongation, whereas ethylene, abscisic acid, and
cytokinins have inhibitory effects on this process. Cytokinins and
auxin both participate in regulating the plant cell cycle. Auxin is
known to regulate ethylene biosynthesis. In contrast, cytokinins act
antagonistically with brassinosteroids or ethylene to control leaf or
fruit senescence, and there are descriptions of abscisic acid acting
antagonistically with ethylene and brassinosteroids. Thus, there are
numerous physiological examples of synergy, antagonism, and causal
relationships among the plant hormone signaling pathways (9).
These interactions between the hormone signaling pathways have been
reinforced by the observation that several hormone-resistant mutants
are not specific for the hormone pathways for which they were screened.
Rather, these mutants exhibit cross-resistance to high levels of
several hormones. This was first noted for auxin-resistant mutants
(19), but since that report several loci have been identified from
different screens. The best example is the identification of
ein2, not only in ethylene-insensitive screens, but also in screens for abscisic acid and cytokinin signaling mutants (3). Brassinosteroid-insensitive mutants have been reported to be
hypersensitive to abscisic acid in root growth assays (7).
With the identification of a plethora of hormone mutants, mostly in
Arabidopsis, genetic studies have reinforced the notion that there are
complex interactions and cross talk in plant hormone signaling
pathways. These studies also give us a glimpse of the challenges for
the future. For example, is a "negative regulator" as defined by
loss-of-function mutations truly a negative regulator or is the effect
due to the loss-of-function of a positive regulator in an antagonistic
pathway? These are the questions that we are now poised to answer.
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THE COMPLEXITY OF SIGNALING REVEALED BY STRUCTURAL GENOMICS |
Given the rapid progress made in cell signaling over the past 25 years, it is appropriate that we end with a snapshot of all the
signaling molecules in a plant. With the recent announcement of the
completion of the sequence of Arabidopsis, we now have the first
glimpse of the complexity and redundancy of signaling components in a
higher plant (17). As outlined in Table
I, it is now clear that
Arabidopsis devotes a significant percentage of its genome to cell
signaling (about 10%). For instance, Arabidopsis has more than 850 predicted protein kinases, whereas Caenorhabditis elegans has about 400 and Drosophila even less
(approximately 250). There are greater than 1,000 predicted
transcription factors, often found in large families. Why so many
kinases and transcription factors and why so much redundancy within
gene families? There are many possible explanations for expansion of
gene families within plants that will be addressed over the next years.
One to consider in terms of the evolution of signal transduction
networks in plants is the large number of environmental signals that
need to be integrated with intrinsic developmental programs. These are
rapidly changing biotic and abiotic signals that are perceived in
different parts of the plant and which must be integrated to give a
fine-tuned and appropriate growth response. Thus, it seems fitting that
there has been significant expansion of both receptors and
transcription factor families that define the input and output layers
of cell signaling. Whether these proteins have overlapping or distinct
functions is only beginning to be revealed. An even bigger unknown is
how the activation of these receptors is integrated to give the final
gene expression response, a question which will not be easily answered
using forward genetic screens.
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CHALLENGES FOR THE NEXT 25 YEARS |
Twenty-five years ago, the concept of signal transduction networks
did not exist. Now, we know that many signaling domains are conserved
throughout the plant and animal kingdoms and that significant
percentages of eukaryotic genomes encode information for receptors,
signaling enzymes, and transcription factor targets of these signaling
pathways. Signaling molecules are often found in large complexes or
anchored to discrete membrane regions that may confer specificity to a
signaling pathway. However, understanding signal pathway cross talk
will become increasingly important for our understanding of complex
signaling networks. Catalogs of protein kinases and phosphatases from
sequencing projects and bioinformatics efforts used together with
global expression analysis methodologies will allow the deciphering of
which signaling networks are present in different cell types. The major
challenges will be to develop proteomic methodologies for dissecting
global posttranslational modifications in response to discrete stimuli
and during particular times in development and to model the
protein-protein interactions in vivo. Given that cell signaling
networks are four-dimensional and that thousands of molecules might be
involved in signaling in a particular cell, the challenges are immense.
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FOOTNOTES |
*
Corresponding author; e-mail chory{at}salk.edu; fax
858-558-6379.
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© 2001 American Society of Plant Physiologists
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