removed from this tube as a standard for comparison with subsequent time samples. Cells
were diluted 1:100 into various media and incubated at the appropriate temperature until
OD
600
was 0.5, whereupon they were diluted 1:100 (about once or twice a day). Samples
were removed at various time points and lysed by incubation with Zymolyase and boiling.
The lysates were subjected to PCR. The PCR product was sequenced in accordance with
the standard protocol provided by Applied Biosystems and analysed on an ABI Prism 3700
DNA Analyzer with DNA Sequencing Analysis Software Version 3.6.1 (Applied
Biosystems, Foster City, California). Mutant frequencies within the culture were estimated
with the sequencing-based protocol developed by Kwok and Duan
29
. Data were fitted to
exponential equations that accounted for changes in growth of the mutant of interest and
changes in growth of competitors.
Received 7 August; accepted 23 October 2003; doi:10.1038/nature02178.
1. Pawson, T. & Nash, P. Assembly of cell regulatory systems through protein interaction domains.
Science 300, 445–452 (2003).
2. Saccharomyces Genome Database, khttp://www.yeastgenome.org/l.
3. Mayer, B. J. SH3 domains: complexity in moderation. J. Cell Sci. 114, 1253–1263 (2001).
4. Ladbury, J. E. & Arold, S. Searching for specificity in SH domains. Chem. Biol. 7, R3–R8 (2000).
5. Sparks, A. B. et al. Distinct ligand preferences of Src homology 3 domains from Src, Yes, Abl,
Cortactin, p53bp2, PLCgamma, Crk, and Grb2. Proc. Natl Acad. Sci. USA 93, 1540–1544 (1996).
6. Kay, B. K., Williamson, M. P. & Sudol, M. The importance of being proline: the interaction of proline-
rich motifs in signaling proteins with their cognate domains. FASEB J. 14, 231–241 (2000).
7. Cesareni, G., Panni, S., Nardelli, G. & Castagnoli, L. Can we infer peptide recognition specificity
mediated by SH3 domains? FEBS Lett. 513, 38–44 (2002).
8. Zarrinpar, A., Bhattacharyya, R. P. & Lim, W. A. The structure and function of proline recognition
domains. Science [online] (doi:10.1126/stke.2003.179.re8).
9. Lim, W. A., Richards, F. M. & Fox, R. O. Structural determinants of peptide-binding orientation and of
sequence specificity in SH3 domains. Nature 372, 375–379 (1994).
10. Feng, S., Chen, J. K., Yu, H., Simon, J. A. & Schreiber, S. L. Two binding orientations for peptides to the
Src SH3 domain: development of a general model for SH3-ligand interactions. Science 266, 1241–1247
(1994).
11. Schneider, T. D. Evolution of biological information. Nucleic Acids Res. 28, 2794–2799 (2000).
12. Posas, F. & Saito, H. Osmotic activation of the HOG MAPK pathway via Ste11p MAPKKK: scaffold
role of Pbs2p MAPKK. Science 276, 1702–1705 (1997).
13. Tong, A. H. et al. A combined experimental and computational strategy to define protein interaction
networks for peptide recognition modules. Science 295, 321–324 (2002).
14. Fazi, B. et al. Unusual binding properties of the SH3 domain of the yeast actin-binding protein Abp1:
structural and functional analysis. J. Biol. Chem. 277, 5290–5298 (2002).
15. Park, S. H., Zarrinpar, A. & Lim, W. A. Rewiring MAP kinase pathways using alternative scaffold
assembly mechanisms. Science 299, 1061–1064 (2003).
16. Orr, M. R. & Smith, T. B. Ecology and speciation. Trends Ecol. Evol. 13, 502–506 (1998).
17. Barnett, P., Bottger, G., Klein, A. T., Tabak, H. F. & Distel, B.The peroxisomal membrane protein
Pex13p shows a novel mode of SH3 interaction. EMBO J. 19, 6382–6391 (2000).
18. Bottger, G. et al. Saccharomyces cerevisiae PTS1 receptor Pex5p interacts with the SH3 domain of the
peroxisomal membrane protein Pex13p in an unconventional, non-PXXP-related manner. Mol. Biol.
Cell 11, 3963–3976 (2000).
19. Huh, W.-K. et al. Global analysis of protein localization in budding yeast. Nature 425, 686–691 (2003).
20. Girzalsky, W. et al. Involvement of Pex13p in Pex14p localization and peroxisomal targeting signal
2-dependent protein import into peroxisomes. J. Cell Biol. 144, 1151–1162 (1999).
21. Sudol, M. From Src Homology domains to other signaling modules: proposal of the ‘protein
recognition code’. Oncogene 17, 1469–1474 (1998).
22. Palmer, E. Negative selection—clearing out the bad apples from the T-cell repertoire. Nature Rev.
Immunol. 3, 383–391 (2003).
23. Yaffe, M. B. et al. A motif-based profile scanning approach for genome-wide prediction of signaling
pathways. Nature Biotechnol. 19, 348–353 (2001).
24. Newman, J. R. & Keating, A. E. Comprehensive identification of human bZIP interactions with coiled-
coil arrays. Science 300, 2097–2101 (2003).
25. Kim, S. K. et al. A gene expression map for Caenorhabditis elegans. Science 293, 2087–2092 (2001).
26. Jiang, M. et al. Genome-wide analysis of developmental and sex-regulated gene expression profiles in
Caenorhabditis elegans. Proc. Natl Acad. Sci. USA 98, 218–223 (2001).
27. Maxwell, K. L. & Davidson, A. R. Mutagenesis of a buried polar interaction in an SH3 domain:
sequence conservation provides the best prediction of stability effects. Biochemistry 37, 16172–16182
(1998).
28. Lim, W. A., Fox, R. O. & Richards, F. M. Stability and peptide binding affinity of an SH3 domain from
the Caenorhabditis elegans signaling protein Sem-5. Protein Sci. 3, 1261–1266 (1994).
29. Kwok, P. Y. & Duan, S. SNP discovery by direct DNAsequencing. Methods Mol. Biol. 212, 71–84
(2003).
30. Lim, W. A. & Richards, F. M. Critical residues in an SH3 domain from Sem-5 suggest a mechanism for
proline-rich peptide recognition. Nature Struct. Biol. 1, 221–225 (1994).
Supplementary Information accompanies the paper on www.nature.com/nature.
Acknowledgements We thank A. Davidson and members of the Davidson laboratory,
I. Herskowitz, P. Y. Kwok, E. O’Shea, A. Sali, K. Yamamoto, R. Zuckerman, P. Chien, K. Chak,
R. Bhattacharyya, J. Dueber, N. Sallee, B. Yeh, and members of the Lim laboratory for assistance
and discussion. This work was supported by grants from the NIH and the Packard Foundation.
S.-H.P. is a Jane Coffin Child Fellow. A.Z. is supported by the UCSF Medical Scientist Training
Program.
Competing interests statement The authors declare that they have no competing financial
interests.
Correspondence and requests for materials should be addressed to W.A.L. (wlim@itsa.ucsf.edu).
..............................................................
Gating of the rapid shade-avoidance
response by the circadian clock in
plants
Michael G. Salter*, Keara A. Franklin* & Garry C. Whitelam
Department of Biology, University of Leicester, Leicester LE1 7RH, UK
* These authors contributed equally to this work
.............................................................................................................................................................................
The phytochromes are a family of plant photoreceptor proteins
that control several adaptive developmental strategies
1,2
. For
example, the phytochromes perceive far-red light (wavelengths
between 700 and 800 nm) reflected or scattered from the leaves of
nearby vegetation. This provides an early warning of potential
shading, and triggers a series of ‘shade-avoidance’ responses,
such as a rapid increase in elongation
3
, by which the plant
attempts to overgrow its neighbours
3
. Other, less immediate,
responses include accelerated flowering and early production of
seeds. However, little is known about the molecular events that
connect light perception with increased growth in shade avoid-
ance. Here we show that the circadian clock gates this rapid
shade-avoidance response. It is most apparent around dusk and
is accompanied by altered expression of several genes. One of
these rapidly responsive genes encodes a basic helix–loop–helix
protein, PIL1, previously shown to interact with the clock protein
TOC1 (ref. 4). Furthermore PIL1 and TOC1 are both required for
the accelerated growth associated with the shade-avoidance
response.
Selective absorption of blue and of red (600–700 nm) wave-
lengths by the chlorophylls means that the radiation reflected/
scattered by green leaves is relatively enriched in the far-red (700–
800 nm). This far-red-rich light signal (that is, a decrease in the
ratio of red to far-red (R/FR)) is detected by nearby plants as a
change in the equilibrium between the P
r
and P
fr
forms of
phytochromes B, D and E (ref. 5), providing an unambiguous
signal that potential competitors are nearby. In response to a low
R/FR many plants evoke a suite of adaptive reactions, shade
avoidance, including rapidly increased elongation of internodes
6
and/or petioles, reduced leaf growth and increased apical dom-
inance in an attempt to avoid being shaded. Prolonged exposure to
the low-R:FR signal evokes a survival reaction: the acceleration of
flowering
3,7
. Shade avoidance is displayed by most angiosperms,
including crop species, conferring high relative fitness in dense
stands
3
and is one of the best-studied examples of adaptive
phenotypic plasticity in plants.
To gain insight into the molecular events involved in rapid shade-
avoidance responses, we carried out Affymetrix Arabidopsis oligoar-
ray analysis on plants exposed to low R/FR (see Supplementary
Information). Among those genes displaying the most marked
changes in expression in response to 1 h of low R/FR is the
ATHB-2 gene, encoding a homeodomain ZIP transcription factor;
this gene is known to be rapidly and reversibly regulated by changes
in R/FR (ref. 8). However, the greatest increase in transcript level in
response to low R/FR was observed for a gene annotated as encoding
an unknown protein. The transcript of this gene increases in
abundance by ,35-fold at 1 h. After correcting for errors in the
annotation of this gene, we identified it as PIL1 (for PIF3-like 1)
encoding a basic helix–loop–helix protein, previously identified
as a protein that interacts with the circadian clock protein TOC1
(ref. 4).
The increase in PIL1 transcript level in response to low R/FR
starting 1 h after dawn is extremely rapid. Quantitative reverse
transcriptase polymerase chain reaction (RT–PCR) shows that
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