Histone modifications: combinatorial complexity or cumulative simplicity?

P osttranslational modifications of histones have attracted enduring interest ever since it was realized that histones are hyperacetylated on lysines at actively transcribed genes (1). Because it neutralizes the charge on a lysine, acetylation was thought to reduce interactions with DNA phosphates, making the DNA more accessible for active processes such as transcription (2). In recent years, this simple charge neutralization model has been succeeded by a complex alternative: the histone code, in which combinations of different histone modifications specify alternative chromatin states (3). In this issue of PNAS, Dion et al. (4) present a critical test of these competing models. The concept of a histone code was introduced in the early 1990s by Turner (5), based on seminal studies of the involvement of histone lysine acetylation in a dosage compensation process. In flies, histone H4 is hyperacetylated on lysine-16 (K16) on the male, but not the female, X chromosome, a feature that was later shown to be instrumental in the process whereby the male X chromosome is 2-fold up-regulated to compensate for being hemizygous (6). Thus, H4 K16 appears to be dedicated to the process of X chromosome dosage compensation in Drosophila. The subsequent discovery that histone acetyltransferases and deacetylases are components of activator or repressor complexes (7), and the realization that histone methyltransferases provide potentially enormous combinatorial complexity (8), led to elaborations of Turner’s original concept and considerable excitement in the chromatin field. One would think that an abundance of evidence underlies this paradigm shift from a model based on structural properties to an information-based code. However, experiments claimed to support the histone code hypothesis might also be accommodated by structural alternatives. For example, histone H3 K9 methylation is regarded as an epigenetic ‘‘mark’’ for heterochromatin because it provides a platform for binding by heterochromatin-associated protein 1 (HP-1) (8). It is not known whether the modification step occurs on the chromatin template, which could be interpreted as ‘‘writing’’ a code, or instead on soluble H3 before assembly, in which case H3 K9 methylation is just a prerequisite for assembly of a heterochromatic structure. In at least one case, H3 K9 is found to be methylated within a soluble nucleosome assembly complex, which favors the structural model (9). To experimentally distinguish the histone code from structural alternatives, such as charge neutralization and nucleosome assembly, the concept needs to be rigorously defined. It is worth noting that the term ‘‘code,’’ as commonly understood, involves a translation machine. The Morse code, a computer code, and the genetic code each have a translation machine in the form of a telegraph, a program, or a ribosome. However, the binding of HP-1 to methylated H3 K9 in heterochromatin does not constitute a translation machine, because ‘‘reading’’ is synonymous to simply ‘‘binding,’’ with only one bound state, like a telegraph key that can only read a single dot. Multiple inputs or outputs are needed for a nontrivial code. These must be distinct, not simply cumulative: one Morse code dot reads ‘‘e’’ and two read ‘‘i,’’ not ‘‘e’’ and ‘‘ee.’’ Thus, what is needed to distinguish a nontrivial histone code from cumulative alternatives like charge neutralization is the demonstration of distinct outputs using different combinations of input components. In the case of H3 K9 methylation, a recent study in Arabidopsis provides compelling evidence that different combinations of input components can provide distinct outputs. Genetic studies indicate that methylation by the DNA methyltransferase, CHROMOMETHYLASE3 (CMT3), is maintained by the action of an H3 K9 methyltransferase (10, 11). Recently, Lindroth et al. (12) showed that the CMT3 enzyme requires methylation of both H3 K9 and H3 K27 for avid binding to an H3 N-terminal tail peptide in vitro. Thus, there are multiple states of this histone tail, and CMT3 binds effectively to only one of them. In vivo, this would result in a binary output, the methylation of DNA cytosine bases by CMT3. In some other cases, histone modifications might act only indirectly, complicating interpretations of cause and effect. For example, ubiquitylation of H2B K123 leads to the methylation of H3 K4 in budding yeast, which contributes to increased transcription (13). Although it remains possible that this is a direct interaction between modified histone lysines within single nucleosomes, an attractive alternative hypothesis is that ubiquitylated H2B at the promoter facilitates transcription, resulting in modification of nucleosomes in the body of the gene (14). In this case, the combinatorial read-out is not necessarily evidence for a code but rather would simply be one of many consequences of transcriptional activation. Budding yeast provides an attractive model system for a critical test of the histone code hypothesis. Histone lysines are often differentially acetylated, especially in the vicinity of promoters (2). Although chromatin immunoprecipitation (ChIP) analysis using microarrays has revealed that acetylations on all four core histones are mostly strongly correlated with one another, a sensitive statistical analysis detected differences (15). These differences were suggested to reflect specific combinations of acetylated histone lysines that contribute to transcriptional regulation. If so, then loss of individual sites of lysine acetylation should impact transcription genome-wide in a combinatorial manner. Alternatively, if acetylation only neutralizes charge, then substituting lysines for a similar residue that cannot be acetylated should have simple cumulative effects on transcription. Dion et al. (4) used microarrays to profile expression of yeast genes for a series of strains in which one, two, or three lysines on the N-terminal tail of histone H4 have been substituted with arginine (K-to-R), thus preventing acetylation while retaining the positive charge. Dion et al. used hierarchical cluster analysis to identify similarly regulated genes in the different mutant lines. If effects on expression result from charge effects, then similar groupings should be found for all four cases in which only a single lysine was substituted with arginine, for all combinations