Key Points
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Gene regulation in multicellular eukaryotes is complex, with many layers of regulation. Two fundamental mechanisms of gene regulation involve transcription factors and microRNAs, a large class of small, non-coding RNAs.
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It is widely believed that phenotypic evolution is closely linked to the evolution of gene regulation. To begin to understand the evolution of gene regulatory networks, it is important to first understand how the individual regulators and their regulatory interactions evolve.
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A combination of computational and experimental work has made it possible to begin to compare the evolution of transcriptional regulation with post-transcriptional regulation that is carried out by microRNAs.
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For both transcription factors and microRNAs, the regulators themselves seem to be well conserved over large evolutionary distances, whereas their targets seem to have evolved much more quickly, indicating that large-scale rewiring of regulatory networks has taken place in the course of evolution.
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In animal evolution, the acquisition of new microRNA families seems to have been much more rapid than the acquisition of new transcription-factor families. Several authors have proposed that new microRNA families have had important roles in the development of novel tissue types and organs.
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Ultimately, a comprehensive picture of gene-regulation evolution will require a unification of different regulatory mechanisms. As an initial step in this direction, we suggest a simple model that describes the transcription of new microRNA genes. A corollary of this model is that many microRNAs that are expressed at low levels and in specific spatio-temporal domains might have little biological function in regulating target genes in trans.
Abstract
Changes in the patterns of gene expression are widely believed to underlie many of the phenotypic differences within and between species. Although much emphasis has been placed on changes in transcriptional regulation, gene expression is regulated at many levels, all of which must ultimately be studied together to obtain a complete picture of the evolution of gene expression. Here we compare the evolution of transcriptional regulation and post-transcriptional regulation that is mediated by microRNAs, a large class of small, non-coding RNAs in plants and animals, focusing on the evolution of the individual regulators and their binding sites. As an initial step towards integrating these mechanisms into a unified framework, we propose a simple model that describes the transcriptional regulation of new microRNA genes.
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References
Levine, M. & Tjian, R. Transcription regulation and animal diversity. Nature 424, 147–151 (2003).
Moore, M. J. From birth to death: the complex lives of eukaryotic mRNAs. Science 309, 1514–1518 (2005).
Davidson, E. H. The Regulatory Genome: Gene Regulatory Networks in Development and Evolution (Academic, New York, 2006). This book synthesizes several decades of work on gene regulation, animal development and evolution, with an emphasis on transcriptional regulation.
Ambros, V. The functions of animal microRNAs. Nature 431, 350–355 (2004).
Bartel, D. P. MicroRNAs: genomics, biogenesis, mechanism and function. Cell 116, 281–297 (2004).
Wittkopp, P. J. Genomic sources of regulatory variation in cis and in trans. Cell. Mol. Life Sci. 62, 1779–1783 (2005).
Davidson, E. H. & Erwin, D. H. Gene regulatory networks and the evolution of animal body plans. Science 311, 796–800 (2006).
Carroll, S., Grenier, J. & Weatherbee, S. From DNA to Diversity: Molecular Genetics and the Evolution of Animal Design (Blackwell Scientific, Malden, 2005).
Doebley, J. & Lukens, L. Transcriptional regulators and the evolution of plant form. Plant Cell 10, 1075–1082 (1998).
Kloosterman, W. P. & Plasterk, R. H. The diverse functions of microRNAs in animal development and disease. Dev. Cell 11, 441–450 (2006).
Kosik, K. S. The neuronal microRNA system. Nature Rev. Neurosci. 7, 911–920 (2006).
Carrington, J. C. & Ambros, V. Role of microRNAs in plant and animal development. Science 301, 336–338 (2003).
Jones-Rhoades, M. W., Bartel, D. P. & Bartel, B. MicroRNAs and their regulatory roles in plants. Annu. Rev. Plant Biol. 57, 19–53 (2006).
Alvarez-Garcia, I. & Miska, E. A. MicroRNA functions in animal development and human disease. Development 132, 4653–4662 (2005).
Lee, R. C., Feinbaum, R. L. & Ambros, V. The C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14. Cell 75, 843–854 (1993).
Reinhart, B. J. et al. The 21-nucleotide let-7 RNA regulates developmental timing in Caenorhabditis elegans. Nature 403, 901–906 (2000).
Sokol, N. S. & Ambros, V. Mesodermally expressed Drosophila microRNA-1 is regulated by Twist and is required in muscles during larval growth. Genes Dev. 19, 2343–2354 (2005).
Giraldez, A. J. et al. Zebrafish MiR-430 promotes deadenylation and clearance of maternal mRNAs. Science 312, 75–79 (2006).
Giraldez, A. J., Cinalli, R. M., Glasner, M. E., Thomson, J. M. & Baskerville, S. MicroRNAs regulate brain morphogenesis in zebrafish. Science 308, 833–838 (2005).
Bernstein, E. et al. Dicer is essential for mouse development. Nature Genet. 35, 215–217 (2003).
Schauer, S. E., Jacobsen, S. E., Meinke, D. W. & Ray, A. DICER-LIKE1: blind men and elephants in Arabidopsis development. Trends Plant Sci. 7, 487–491 (2002).
Wienholds, E. et al. MicroRNA expression in zebrafish embryonic development. Science 309, 310–311 (2005).
Ason, B. et al. Differences in vertebrate microRNA expression. Proc. Natl Acad. Sci. USA 103, 14385–14389 (2006).
Thomson, J. M. et al. Extensive post-transcriptional regulation of microRNAs and its implications for cancer. Genes Dev. 20, 2202–2207 (2006).
Aravin, A. A. et al. The small RNA profile during Drosophila melanogaster development. Dev. Cell 5, 337–350 (2003).
Aboobaker, A. A., Tomancak, P., Patel, N., Rubin, G. M. & Lai, E. C. Drosophila microRNAs exhibit diverse spatial expression patterns during embryonic development. Proc. Natl Acad. Sci. USA 102, 18017–18022 (2005).
Leaman, D. et al. Antisense-mediated depletion reveals essential and specific functions of microRNAs in Drosophila development. Cell 121, 1097–1108 (2005).
Brennecke, J., Stark, A. & Cohen, S. M. Not miR-ly muscular: microRNAs and muscle development. Genes Dev. 19, 2261–2264 (2005).
Hornstein, E. & Shomron, S. Canalization of development by microRNAs. Nature Genet. 38, S20–S24 (2006).
Li, Y., Wang, Y., Lee, J. A. & Gao, F. B. MicroRNA-9a ensures the precise specification of sensory organ precursors in Drosophila. Genes Dev. 20, 2793–2805 (2006).
Cohen S. M., Brennecke, J. & Stark A. Denoising feedback loops by thresholding — a new role for microRNAs. Genes Dev. 20, 2769–2772 (2006).
Meyerowitz, E. M. Plants compared to animals: the broadest comparative study of development. Science 295, 1482–1485 (2002).
Riechmann, J. L. et al. Arabidopsis transcription factors: genome-wide comparative analysis among eukaryotes. Science 290, 2105–2110 (2000). A detailed study of the evolution of transcription- factor families in plants and animals, which showed that they have diversified greatly during eukaryotic evolution.
Hsia, C. C. & McGinnis, W. Evolution of transcription factor function. Curr. Opin. Genet. Dev. 13, 199–206 (2003).
Pasquinelli, A. E. et al. Conservation of the sequence and temporal expression of let-7 heterochronic regulatory RNA. Nature 408, 86–89 (2000). This paper demonstrated that let-7 , one of the two founding miRNAs, is highly conserved in animals.
Pasquinelli, A. E. et al. Expression of the 22 nucleotide let-7 heterochronic RNA throughout the metazoa: a role in life history evolution? Evol. Dev. 5, 372–378 (2003).
Hertel, J. et al. The expansion of the metazoan miRNA repertoire. BMC Genomics 7, 25 (2006).
Sempere, L. F., Cole, C. N., McPeek, M. A. & Peterson, K. J. The phylogenetic distribution of metazoan microRNAs: insights into evolutionary complexity and constraint. J. Exp. Zool. B. Mol. Dev. Evol. 306, 575–588 (2006). The authors studied the evolution of miRNAs in bilaterians, cnidarians and sponges, and proposed that the acquisition of new miRNAs has had an important role in the development of new animal organs.
Prochnik, S. E., Rokhsar, D. S. & Aboobaker, A. A. Evidence for a microRNA expansion in the bilaterian ancestor. Dev. Genes Evol. 14 Nov 2006 (doi: 10.1007/s00427-006-0116-1).
Lemons, D. & McGinnis, W. Genomic evolution of Hox gene clusters. Science 313, 1918–1922 (2006).
Xie, X. et al. Systematic discovery of regulatory motifs in human promoters and 3′ UTRs by comparison of several mammals. Nature 434, 338–345 (2005).
Chen, K. & Rajewsky, N. Deep conservation of miRNA-target relationships and 3′ UTR motifs in vertebrates, flies and nematodes. Cold Spring Harb. Symp. Quant. Biol. 12 Dec 2006 (doi:10.1101/sqb.2006.71.039).
Chan, C. S., Elemento, O. & Tavazoie, S. Revealing posttranscriptional regulatory elements through network-level conservation. PLoS Comput. Biol. 1, e69 (2006).
Lu, C. et al. MicroRNAs and other small RNAs enriched in the Arabidopsis RNA-dependent RNA polymerase-2 mutant. Genome Res. 16, 1276–1288 (2006).
Arazi, T. et al. Cloning and characterization of micro-RNAs from moss. Plant J. 43, 837–848 (2005).
Floyd, S. K. & Bowman, J. L. Gene regulation: ancient microRNA target sequences in plants. Nature 428, 485–486 (2004).
Axtell, M. J. & Bartel, D. P. Antiquity of microRNAs and their targets in land plants. Plant Cell 17, 1658–1673 (2005). These authors showed that many miRNAs and miRNA-target relationships are well conserved in plants.
Shiu, S. H., Shih, M. C. & Li, W. H. Transcription factor families have much higher expansion rates in plants than in animals. Plant Physiol. 139, 18–26 (2005).
Blanc, G. & Wolfe, K. H. Functional divergence of duplicated genes formed by polyploidy during Arabidopsis evolution. Plant Cell 16, 1679–1691 (2004).
Seoighe, C. & Gehring, C. Genome duplication led to highly selective expansion of the Arabidopsis thaliana promoterome. Trends Genet. 20, 461–464 (2004).
Davis, J. C. & Petrov, D. A. Do disparate mechanisms of duplication add similar genes to the genome? Trends Genet. 21, 548–551 (2005).
Maher, C., Stein, L. & Ware, D. Evolution of Arabidopsis microRNA familes through duplication events. Genome Res. 16, 510–519 (2006).
Tanzer, A., Amemiya, C. T., Kim, C. B. & Stadler, P. F. Evolution of microRNAs located within Hox gene clusters. J. Exp. Zool. B. Mol. Dev. Evol. 304, 75–85 (2005).
Tanzer, A. & Stadler, P. F. Molecular evolution of a microRNA cluster. J. Mol. Biol. 339, 327–335 (2004).
Li, A. & Mao, L. Evolution of plant microRNA gene families. Cell Res. 28 Nov 2006 (doi:10.1038/sj.cr.7310113).
Abbott, A. L. et al. The let-7 microRNA family members mir-48, mir-84, and mir-241 function together to regulate developmental timing in Caenorhabditis elegans. Dev. Cell 9, 403–414 (2005).
Hayes, G. D., Frand, A. R. & Ruvkun, G. The mir-84 and let-7 paralogous microRNA genes of Caenorhabditis elegans direct the cessation of molting via the conserved nuclear hormone receptors NHR-23 and NHR-25. Development 133, 4631–4641 (2006).
Johnson, R. M. et al. RAS is regulated by the let-7 microRNA family. Cell 120, 635–647 (2005).
Schulman, B. R. M., Esquela-Kerscher, A. & Slack, F. J. Reciprocal expression of L in-41 and the microRNAs L et-7 and M ir-125 during mouse embryogenesis. Dev. Dyn. 234, 1046–1054 (2005).
Moss, E. G. & Tang, L. Conservation of the heterochronic regulator Lin-28, its developmental expression and microRNA complementary sites. Dev. Biol. 258, 432–442 (2003).
Yang, D.-H. & Moss, E. G. Temporally regulated expression of Lin-28 in diverse tissues of the developing mouse. Gene Expr. Patterns 3, 719–726 (2003).
Grun, D., Wang, Y., Langenberger, D., Gunsalus, K. C. & Rajewsky, N. microRNA target predictions across seven Drosophila species and comparison to mammalian targets. PLoS Comput. Biol. 1, e13 (2005).
Elnitski, L., Jin, V. X., Farnham, P. J. & Jones, S. J. M. Locating mammalian transcription factor binding sites: A survey of computational and experimental techniques Genome Res. 16, 1455–1464 (2006).
Gerber, A. P., Luschnig, S., Krasnow, M. A., Brown, P. O. & Herschlag, D. Genome-wide identification of mRNAs associated with the translational regulator PUMILIO in Drosophila melanogaster. Proc. Natl Acad. Sci. USA 103, 4487–4492 (2006).
Dermitzakis, E. T. & Clark, A. G. Evolution of transcription factor binding sites in mammalian gene regulatory regions: conservation and turnover. Mol. Biol. Evol. 19, 1114–1121 (2002).
Dermitzakis, E. T., Bergman, C. M. & Clark, A. G. Tracing the evolutionary history of Drosophila regulatory regions with models that identify transcription factor binding sites. Mol. Biol. Evol. 20, 703–714 (2003).
Emberly, E., Rajewsky, N. & Siggia, E. D. Conservation of regulatory elements between two regions of Drosophila. BMC Bioinformatics 4, 57 (2003).
Richards, S. et al. Comparative genome sequencing of Drosophila pseudoobscura: chromosomal, gene and cis-element conservation. Genome Res. 15, 1–18 (2005).
Moses, A. M. et al. Large-scale turnover of functional transcription factor binding sites in Drosophila. PLoS Comput. Biol. 2, e130 (2006).
Ludwig, M. Z., Bergman, C. M., Patel, N. H. & Kreitman, M. Evidence for stabilizing selection in a eukaryotic enhancer element. Nature 403, 564–567 (2000). An elegant demonstration of the complex evolution of the well studied D. melanogaster even-skipped stripe 2 enhancer.
Ludwig, M. Z. et al. Functional evolution of a cis-regulatory module. PLoS Biol. 3, e93 (2005).
Krutzfeldt, J. et al. Silencing of microRNAs in vivo with 'antagomirs'. Nature 438, 685–689 (2005).
Sood, P., Krek, A., Zavolan, M., Macino, G. & Rajewsky, N. Cell-type-specific signatures of microRNAs on target mRNA expression. Proc. Natl Acad. Sci. USA 103, 2746–2751 (2006).
Chen, K. & Rajewsky, N. Natural selection on human miRNA binding sites inferred from SNP data. Nature Genet. 38, 1452–1456 (2006). This paper examined polymorphism in human miRNA binding sites and used population genetic techniques to estimate levels of selective constraint on these binding sites.
Rockman, M. V. & Wray, G. A. Abundant raw material for cis-reguatory evolution in humans. Mol. Biol. Evol. 19, 1991–2004 (2002). A systematic survey of the literature on naturally occurring polymorphisms in human promoter regions that significantly affect gene expression levels.
Abelson, J. F. et al. Sequence variants in SLITRK1 are associated with Tourette's syndrome. Science 310, 317–320 (2005).
Clop, A. et al. A mutation creating a potential illegitimate microRNA target site in the myostatin gene affects muscularity in sheep. Nature Genet. 38, 813–818 (2006). The clearest example to date of a naturally occurring SNP in a miRNA binding site that affects a gross phenotypic trait.
Iwai, N. & Naraba, H. Polymorphisms in human pre-miRNAs. Biochem. Biophys. Res. Commun. 331, 1439–1444 (2005).
Wray, G. A. et al. The evolution of transcriptional regulation in eukaryotes. Mol. Biol. Evol. 20, 1377–1419 (2003). A comprehensive review of the evolution of transcription factors and their binding sites.
Balhoff, J. P. & Wray, G. A. Evolutionary analysis of the well characterized endo16 promoter reveals substantial variation within functional sites. Proc. Natl Acad. Sci. USA 102, 8591–8596 (2005).
Sinha, S. & Siggia, E. D. Sequence turnover and tandem repeats in cis-regulatory modules in Drosophila. Mol. Biol. Evol. 22, 874–885 (2005).
Stone, J. & Wray, G. Rapid evolution of cis-regulatory sequences via local point mutations. Mol. Biol. Evol. 18, 1764–1770 (2001).
Berg, J., Willmann, S. & Laessig, M. Adaptive evolution of transcription factor binding sites. BMC Evol. Biol. 4, 42 (2004).
MacArthur, S. & Brookfield, J. F. Y. Expected rates and modes of evolution of enhancer sequences. Mol. Biol. Evol. 21, 1064–1073 (2004).
Durrett, R. & Schmidt, D. Waiting for regulatory sequences to appear. Ann. Appl. Probab. (in the press).
Berezikov, E. et al. Many novel mammalian microRNA candidates identified by extensive cloning and RAKE analysis. Genome Res. 16, 1289–1298 (2006).
Berezikov, E. et al. Diversity of microRNAs in human and chimpanzee brain. Nature Genet. 38, 1375–1377 (2006). These authors used 454 sequencing to show that many miRNAs that are expressed in the human brain are not conserved in the chimpanzee brain.
Rajewsky, N. microRNA target predictions in animals. Nature Genet. 38, S8–S13 (2006).
Schwab, R. et al. Specific effects on microRNAs on the plant transcriptome. Dev. Cell 8, 517–527 (2005).
Allen, E. et al. Evolution of microRNA genes by inverted duplication of target gene sequences in Arabidopsis thaliana. Nature Genet. 36, 1282–1290 (2004).
Svoboda, P. & Di Cara, A. Hairpin RNA: a secondary structure of primary importance. Cell. Mol. Life Sci. 63, 901–918 (2006).
Bentwich, I. et al. Identification of hundreds of conserved and nonconserved human microRNAs. Nature Genet. 37, 766–770 (2005).
Bartel, D. P. & Chen, C. Z. Micromanagers of gene expression: the potentially widespread influence of metazoan microRNAs. Nature Rev. Genet. 5, 396–400 (2004).
Farh, K. K. et al. The widespread impact of mammalian microRNAs on mRNA repression and evolution. Science 310, 1817–1821 (2005).
Stark, A., Brennecke, J., Bushati, N., Russell, R. B. & Cohen, S. M. Animal microRNAs confer robustness to gene expression and have a significant impact on 3′ UTR evolution. Cell 123, 1133–1146 (2005).
Baskerville, S. & Bartel, D. P. Microarray profiling of microRNAs reveals frequent coexpression with neighboring miRNAs and host genes. RNA 11, 241–247 (2005).
Bhattacharyya, S. N., Habermacher, R., Martine, U., Closs, E. I. & Filipowicz, W. Relief of microRNA-mediated translational repression in human cells subjected to stress. Cell 125, 1111–1124 (2006).
Ashraf, S. I., McLoon, A. L., Sclarsic, S. M. & Kunes, S. Synaptic protein synthesis associated with memory is regulated by the RISC pathway in Drosophila. Cell 124, 191–205 (2006).
Davidson, E. H. Genomic Regulatory Systems. Development and Evolution (Academic, San Diego, 2001).
Johnston, R. J. J., Chang, S., Etchberger, J. F., Ortiz, C. O. & Hobert, O. MicroRNAs acting in a double-negative feedback loop to control a neuronal cell fate decision. Proc. Natl Acad. Sci. 102, 12449–12454 (2005).
Yoo, A. S. & Greenwald, I. LIN-12/Notch activation leads to microRNA-mediated down-regulation of Vav in C. elegans. Science 310, 1330–1333 (2005).
Fazi, F. et al. A minicircuitry comprised of microRNA-223 and transcription factors NFI-A and C/EBPa regulates human granulopoiesis. Cell 123, 819–831 (2005).
King, M. C. & Wilson, A. C. Evolution at two levels in humans and chimpanzees. Science 188, 107–116 (1975).
Lee, Y. et al. MicroRNA genes are transcribed by RNA polymerase II. EMBO J. 23, 4051–4060 (2004).
Johnson, S. M., Lin, S. Y. & Slack, F. J. The time of appearance of the C. elegans let-7 microRNA is transcriptionally controlled utilizing a temporal regulatory element in its promoter. Dev. Biol. 259, 364–379 (2003).
Biemar, F. et al. Spatial regulation of microRNA gene expression in the Drosophila embryo. Proc. Natl Acad. Sci. 102, 15907–15911 (2005).
Engels, B. M. & Hutvagner, G. Principles and effects of microRNA-mediated post-transcriptional gene regulation. Oncogene 25, 6163–6169 (2006).
Berezikov, E., Cuppen, E. & Plasterk, R. H. Approaches to microRNA discovery. Nature Genet. 38, S2–S7 (2006).
Bentwich, I. Prediction and validation of microRNAs and their targets. FEBS Lett. 579, 5904–5910 (2005).
Zuker, M. Mfold web server for nucleic acid folding and hybridization prediction. Nucleic Acids Res. 31, 3406–3415 (2003).
Hofacker, I. L. Vienna RNA secondary structure server. Nucleic Acids Res. 31, 3429–3431 (2003).
Pfeffer, S. et al. Identification of virus-encoded microRNAs. Science 304, 734–736 (2004).
Lagos-Quintana, M., Rauhut, R., Lendeckel, W. & Tuschl, T. Identification of novel genes coding for small expressed RNAs. Science 294, 853–858 (2001).
Margulies, M. et al. Genome sequencing in microfabricated high-density picolitre reactors. Nature 437, 376–380 (2005).
Lu, C. et al. Elucidation of the small RNA component of the transcriptome. Science 309, 1567–1569 (2005).
Griffiths-Jones, S., Bateman, A., Marshall, M., Khanna, A. & Eddy, S. R. Rfam: an RNA family database. Nucleic Acids Res. 31, 439–441 (2003).
Krek, A. et al. Combinatorial microRNA target predictions. Nature Genet. 37, 495–500 (2005).
Lewis, B. P., Shih, I. H., Jones-Rhoades, M. W., Bartel, D. P. & Burge, C. B. Prediction of mammalian microRNA targets. Cell 115, 787–798 (2003).
Brennecke, J., Stark, A., Russell, R. B. & Cohen, S. M. Principles of microRNA-target recognition. PLoS Biol. 3, e85 (2005).
Lall, S. et al. A genome-wide map of conserved microRNA targets in C. elegans. Curr. Biol. 16, 460–471 (2006).
Sethupathy, P., Megraw, M. & Hatzigeorgiou, A. G. A guide through present computational approaches for the identification of mammalian microRNA targets. Nature Methods 3, 881–886 (2006).
Tompa, M. et al. Assessing computational tools for the discovery of transcription factor binding sites. Nature Biotechnol. 23, 137–144 (2005).
Siggia, E. D. Computational methods for transcriptional regulation. Curr. Opin. Genet. Dev. 15, 214–221 (2005).
Rhoades, M. W. et al. Prediction of plant microRNA targets. Cell 110, 513–520 (2002).
Lim, L. P. et al. Microarray analysis shows that some microRNAs downregulate large numbers of target mRNAs. Nature 433, 769–773 (2005).
Pillai, R. S., Bhattacharyya, S. N. & Filipowicz, W. Repression of protein synthesis by miRNAs: how many mechanisms? Trends Cell Biol. 2 Jan 2007 (doi:10.1016/j.tcb.2006.12.007).
Arteaga-Vazquez, M., Caballero-Perez, J. & Vielle-Calzada, J. P. A family of microRNAs present in plants and animals. Plant Cell 22 Dec 2006 (doi:10.1105/tpc.106.044420).
Rajagopalan, R., Vaucheret, H., Trejo, J., Bartel, D. P. A diverse and evolutionarily fluid set of microRNAs in Arabidopsis thaliana. Genes Dev. 20, 3407–3425.
Acknowledgements
We regret that due to space constraints, we are unable to cite the work of many colleagues who have made key contributions to the field. We thank K. Birnbaum for insightful discussions about gene regulation in plants, and V. Ambros, M. Hammell, S. Small and N. Sokol for helpful comments on a preliminary version of the manuscript.
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Glossary
- Bilaterians
-
Members of the animal kingdom that have bilateral symmetry — the property of having two similar sides, with definite upper and lower surfaces, and anterior and posterior ends.
- Acoel flatworms
-
A basal bilaterian clade that diverged from the rest of bilaterians before the split between protostomes and deuterostomes.
- Synteny
-
Collinearity in the order of genes or other DNA sequences in chromosomal regions of two species or in the same species.
- Clade
-
A group of organisms that includes a common ancestor and all of its descendants, representing a distinct branch on a phylogenetic tree.
- Cnidarians
-
Radially symmetrical animals that have sac-like bodies with only one opening. They include jellyfish, corals, hydra and anemones.
- ChIP-chip analysis
-
A method that combines chromatin immunoprecipitation with microarray technology to identify in vivo targets of a transcription factor.
- Deep sequencing
-
Sequencing to high coverage, where coverage (or depth) corresponds to the average number of times that a nucleotide is sequenced.
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Chen, K., Rajewsky, N. The evolution of gene regulation by transcription factors and microRNAs. Nat Rev Genet 8, 93–103 (2007). https://doi.org/10.1038/nrg1990
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DOI: https://doi.org/10.1038/nrg1990
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