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Evolution of genetic mechanisms regulating cortical neurogenesis

Abstract The size of the cerebral cortex increases dramatically across amniotes, from reptiles to great apes. This is primarily due to different numbers of neurons and glial cells produced during embryonic development. The evolutionary expansion of cortical neurogenesis was linked to changes in neural stem and progenitor cells, which acquired increased capacity of self‐amplification and neuron production. Evolution works via changes in the genome, and recent studies have identified a small number of new genes that emerged in the recent human and primate lineages, promoting cortical progenitor proliferation and increased neurogenesis. However, most of the mammalian genome corresponds to noncoding DNA that contains gene‐regulatory elements, and recent evidence precisely points at changes in expression levels of conserved genes as key in the evolution of cortical neurogenesis. Here, we provide an overview of basic cellular mechanisms involved in cortical neurogenesis across amniotes, and discuss recent progress on genetic mechanisms that may have changed during evolution, including gene expression regulation, leading to the expansion of the cerebral cortex.


INTRODUCTION
The human forebrain is one of the most fascinating animal organs, specialized in extremely complex computation and integration of information, which underlies high cognitive abilities and a unique capacity to modify the environment. This extraordinary computational capacity comes in part from its remarkable volume, containing billions of highly diverse neuron types and other cell classes (Herculano-Houzel, 2009). While occasionally referred to as the pinnacle of brain evolution, the human forebrain is not the largest in absolute size, surpassed by few species like whales and elephants (Manger, 2006;Manger et al., 2013;Shoshani et al., 2006). Nevertheless, brain size clearly increased during the evolution of germinal zones, as compared to the small mouse, which exerted key roles in the expansion and complexification of the cerebral cortex during evolution (Dehay & Kennedy, 2007;Llinares-Benadero & Borrell, 2019;Polioudakis et al., 2019;Taverna et al., 2014). During embryogenesis, the emergence of germinal zones and the proliferative and neurogenic activity of NPCs are under specific genetic programs. Accordingly, the evolutionary expansion and increased complexity of the cerebral cortex resulted from changes in these developmental genetic programs (Villalba et al., 2021). The search for those genetic changes during evolution has largely focused on the identification of human-specific genes (Florio et al., 2017). Some human-specific or primate-specific genes with a role in the embryonic development of the cerebral cortex have been identified, but they are very few and their effects on cortical development are insufficient to explain the exponential increase in brain size during hominid evolution (Florio et al., 2018;Mora-Bermudez et al., 2016). Most of those genes emerged from genetic duplications, followed by some degree of sequence modification (Charrier et al., 2012;Dennis & Eichler, 2016;Dougherty et al., 2017;Fiddes et al., 2018;Florio et al., 2015;Suzuki et al., 2018). Although gene duplications seem to have been favored in the recent human lineage, genes are also frequently used and reused (co-opted) for multiple purposes in different tissues and across lifetime periods, so the duplication or loss of one gene is likely to affect many processes during development and in the adult organism, easily becoming deleterious.
An alternative mechanism for genetic evolution is to modify the regulation of gene expression. In the vast majority of amniotes, most of the genome corresponds to noncoding DNA, with a large part of it containing gene regulatory elements (promoters, enhancers, etc.). Most of the DNA in modern humans that was inherited from Neanderthals is regulatory or related to noncoding elements, and most differences between our genomes are in gene regulatory elements (Burbano et al., 2012;Maricic et al., 2013). Noncoding RNAs, including microRNAs (miRNAs), long noncoding RNAs (lncRNAs), circular RNAs (circRNAs), and pico RNAs (picRNAs), are very abundant in the genome and a major source of gene expression regulation in health and disease is playing central roles in the regulation of NPC dynamics and fate (Aprea & Calegari, 2015;Arcila et al., 2014;Hansen et al., 2013;Kosik & Nowakowski, 2018;Prieto-Colomina et al., 2021). Endogenous retroviral sequences comprise more than 8% of the modern human genome, and while initially believed to be genomic junk, many can be important players in gene regulation, particularly related to stem cell pluripotency (Izsvák et al., 2016). Regulation of gene expression is an ultimate plasticity mechanism for gene function, and thus the evolutionary expansion and diversification of the amniote cerebral cortex may have been largely based on the modification of gene regulatory mechanisms.

MECHANISMS OF DEVELOPMENT IMPACTING CEREBRAL CORTEX SIZE
The size, structure, and composition of the mature cerebral cortex is the result of embryonic development. The cerebral cortex stems from the dorsal telencephalic vesicles, initially as a pseudostratified neuroepithelium composed of a monolayer of neuroepithelial cells (NECs) (Bayer & Altman, 1991;Rakic & Sidman, 1968). These cells undergo multiple rounds of selfamplification, increasing their own abundance and the surface area of the cortical primordium. NECs have high apical-basal polarity, contacting the apical and basal surfaces of the cortical primordium with a thin process in each direction (Sidman & Rakic, 1973). The cell nucleus of NECs moves along their apical-basal extent during cell cycle, always undergoing Sphase (DNA synthesis) at the basal side and mitosis at the apical side, a behavior known as interkinetic nuclear migration (INM) that confers the neuroepithelium its typical false appearance of multiple layering (Sauer & Walker, 1959;Takahashi et al., 1996a). Following the initial expansion of the cortical primordium, NECs transform into apical radial glia cells (aRGCs), the primary type of NPC that gives rise to all cortical excitatory neurons (Götz & Huttner, 2005;Malatesta et al., 2000;Miyata et al., 2001;Noctor et al., 2001). At early stages, aRGCs mostly undergo self-amplificative divisions, generating few neurons. A gradual shift during development toward neurogenic divisions leads to the predominance of the latter in the last stages of development, until neurogenesis is complete (Takahashi et al., 1996b). Similar to NECs, aRGCs are anchored to the apical and basal surfaces and undergo INM (Götz & Huttner, 2005;Noctor et al., 2001;Sidman & Rakic, 1973). However, as neurons are born, they move to the basal side of the cortical primordium, and the cell bodies of aRGCs remain together at the apical side, now forming a distinct germinal zone named ventricular zone (VZ) (Boulder Committee, 1970). The generation of neurons from aRGCs may be either direct or indirect. In the direct mode, neurons are born directly from aRGC divisions at the apical surface. In the indirect mode, aRGCs generate basal progenitor cells, which coalesce on the basal border of the VZ forming a secondary germinal zone, the subventricular zone (SVZ). Basal progenitors then undergo additional rounds of cell division prior to producing neurons, thus amplifying the total number of neurons born from each initial aRGC (Fernandez et al., 2016;Kriegstein et al., 2006).
Comparison across amniote species has revealed some principles of development that have a substantial impact on cortex size. The initial expansion of the NEC cell population forming the neuroepithelium, which determines the size of the aRGC cell pool at the onset of neurogenesis, is already very different between species, in accordance with the eventual size of their mature cortex Uzquiano et al., 2018). The subsequent lineage from aRGCs to F I G U R E 1 Regulation of gene expression levels across amniotes determines their predominant mode of neurogenesis, with consequences on the final size, folding, and cellular complexity of the cerebral cortex. CP, cortical plate; NL, neuronal layer; ISVZ, inner subventricular zone; OSVZ, outer subventricular zone; SVZ, subventricular zone; VZ, ventricular zone neurons also differs substantially ( Figure 1). In lepidosaur reptiles (lizards and snakes), aRGCs in the dorsal cortex only undergo direct neurogenesis, not producing basal progenitors, and the final number of cortical neurons is relatively small, arranged in a single neuronal layer (Cárdenas et al., 2018;Martínez-Cerdeño et al., 2006. Thus, both the proliferative and neurogenic activities of the aRGC lineage are very limited in reptiles. In birds, the equivalent to the mammalian cerebral cortex and the reptilian dorsal cortex is the dorsal pallium, and aRGCs in this region combine direct with indirect neurogenesis (Cárdenas et al., 2018;Martínez-Cerdeño et al., 2016;Nomura et al., 2013). Remarkably, direct neurogenesis predominates in the medial region of the dorsal pallium, whereas indirect neurogenesis predominates in the lateral region, as observed in chick embryos (Cárdenas et al., 2018). Basal progenitors in the chick dorsal pallium align at the basal border of the VZ, reminiscent of a nascent SVZ, and are molecularly heterogeneous, some expressing the paired box transcription factor Pax6 (marker of mammalian aRGCs), and some expressing the t-box transcription factor Tbr2 (marker of mouse intermediate progenitor cells [IPCs]) (Cárdenas et al., 2018) (Figure 1).
In mammals, cortical aRGCs mostly undergo indirect neurogenesis, generating IPCs and other types of basal neurogenic progenitors (Haubensak et al., 2004;Miyata et al., 2004;Noctor et al., 2001Noctor et al., , 2004Taverna et al., 2014) (Figure 1). IPCs are multipolar cells with multiple short processes that express Tbr2, populate the SVZ, and usually produce neurons (Miyata et al., 2004;Noctor et al., 2004). Basal radial glia cells (bRGCs) are also basal progenitors but with remarkable similarity to aRGCs: they are cells polarized morphologically along the apico-basal axis (Florio & Huttner, 2014;Taverna et al., 2014), extend a long process pointing in the apical or basal direction (frequently reaching the pial surface), and express Pax6. However, unlike aRGCs, the cell soma of bRGCs is in the SVZ and frequently they lack an apical process anchored to the apical ventricular surface (Betizeau et al., 2013;Fietz et al., 2010;Hansen et al., 2010;Reillo et al., 2011;Shitamukai et al., 2011;Wang et al., 2011). In small mammals like mice, most basal progenitors are IPCs, with a very small proportion of bRGCs, both of which undergo one or two rounds of cell division prior to producing neurons (Kowalczyk et al., 2009;Noctor et al., 2004;Shitamukai et al., 2011;Wang et al., 2011). In mammals with large brains, like carnivores and ungulates, basal progenitors are much more proliferative and thus more abundant, forming a very thick SVZ subdivided in inner and outer compartments (ISVZ and OSVZ, respectively; Figure 1) (Reillo et al., 2011). In contrast to small rodents with a small and smooth brain, bRGCs are very abundant and self-amplify, greatly increasing neurogenesis and driving cortex folding (Fietz et al., 2010;Pilz et al., 2013;Reillo et al., 2011). In primates and great apes with a very large and highly folded cortex, the OSVZ is thickest and basal progenitors are extremely abundant, highly proliferative, diverse, and with very plastic lineage dynamics. Altogether, this contributes to a dramatic increase in neurogenesis and cortical expansion ( Figure 1) (Betizeau et al., 2013;Fietz et al., 2010;Hansen et al., 2010;LaMonica et al., 2013;Lukaszewicz et al., 2005;Reillo et al., 2011;Smart et al., 2002).
Experimental manipulation demonstrates the key importance of these distinct progenitor cell types and lineages on the abundance of neurogenesis and cortex size. Genetic enhancement of NEC self-renewal drives an abnormal expansion of the early neuroepithelium and size of the embryonic cerebral cortex (Chenn & Walsh, 2002;Siegenthaler et al., 2009). Delay in the transition from NEC to aRGC drives increased aRGC abundance and cortex size (Hsu et al., 2015;Sahara & O'Leary, 2009). Manipulation of cell cycle proteins to force aRGC cell cycle re-entry induces megalencephaly in mouse (Nonaka-Kinoshita et al., 2013), whereas impairment of aRGC proliferation causes microcephaly (Feng & Walsh, 2004;Johnson et al., 2018). Increased abundance of bRGCs induces folding of the otherwise smooth cortex of mouse and marmoset monkey (Florio et al., 2015;Heide et al., 2020;Stahl et al., 2013). Enhanced or reduced bRGC proliferation in ferret causes the gain or loss of cortical folds, respectively (Masuda et al., 2015;Nonaka-Kinoshita et al., 2013;Poluch & Juliano, 2015;Reillo et al., 2011).
All these cellular mechanisms of cortical development are under tight genetic regulation, frequently via signaling pathways that are highly conserved across phylogeny. Yet, progenitor cell lineage, neurogenesis, and cortex development unfold quite distinctly between species, raising the fundamental question of how these differences emerge. In the following sections, we address in some detail key genetic mechanisms emerged during evolution that contributed to cortex expansion and complexification.

THE EVOLUTION OF GENOMES PARALLELED CORTICAL EVOLUTION
The cerebral cortex of amniotes has a homologous embryonic origin (Brox et al., 2004;Dugas-Ford & Ragsdale, 2015;Puelles et al., 2000;Striedter, 1997), such that variations in its structure and function are due to the divergence of developmental programs from a common starting point. This developmental divergence is the result of genomic changes occurred along the evolution of each lineage, which modified the pre-existing plan in the last common ancestor (LCA) while keeping a record of its evolutionary history. Three main trajectories of cortical development evolved from the LCA of amniotes ( Figure 2a). First, in the mammalian lineage there was a very significant increase in neurogenesis, concomitant with the spatial and functional specialization of neurons into the modern six-layered neocortex (Sousa et al., 2017). Second, in the paraphyletic group of reptiles, the developmental plan remained relatively simple, forming a small and plain cortex with a single neuronal layer (Naumann & Laurent, 2017). Third, in birds a major deviation occurred in the plan of cortical development compared to their paraphyletic reptile counterparts, with the cortex becoming functionally organized into nuclei (Nomura & Izawa, 2017). Some avian groups also increased neurogenesis significantly, achieving a number of telencephalic neurons similar to small primates (Olkowicz et al., 2016).
It has been proposed that the amniote LCA had a simple cortical organization (Briscoe & Ragsdale, 2018), somewhat similar to the reptilian cortex. From this starting point, the developmental programs of the mammalian cortex and avian dorsal pallium would have been subject to greater evolutionary change than reptiles ( Figure 2). This notion can be first approached by identifying the evolutionary novelty in cortex development via comparative genomics (Katju & Bergthorsson, 2013;Lynch, 2010;Scally & Durbin, 2012). Studies focused on primates, notably human, revealed that the sequence of genes related to cortical development underwent a higher rate of change in humans than rodents, including both coding (Dorus et al., 2004;Yu et al., 2006) and noncoding sequences (Haygood et al., 2007(Haygood et al., , 2010Pollard et al., 2006;Prabhakar et al., 2006). Moreover, several studies have shown an acceleration in the generation of new genes in great apes (Bailey et al., 2002;Dennis et al., 2017;Marques et al., 2005;Nielsen et al., 2005;Sudmant et al., 2013;Zhang et al., 2010), some of them related to neurodevelopment (Fortna et al., 2004;Zhang et al., 2011). Whether similarly high rates of evolutionary change in coding and noncoding DNA also occurred in the avian and reptilian phyla remains unknown.

F I G U R E 2
The evolution of genomes paralleled the evolution of the cerebral cortex. (a) Schematic phylogenetic tree illustrating the relationships between amniote clades (from left to right: primates, rodents, carnivores, marsupials, lepidosaurs, testudines, crocodilians, and birds) and the accumulation of genomic changes on developmental programs leading to the diversification of brain size and structure. Evolutionary time and brain are not to scale. Phenotypic divergence from the last common ancestor (LCA) is color coded. Major changes in corticogenesis are indicated: (a) mammalian six-layered neocortex, (b) reptile single-layered cortex, (c) secondary loss of gyrencephaly in some mammalian clades, and (d) avian dorsal pallium. Animal silhouettes are from http://phylopic.org/. (B) Schemas of typical genomic changes occurring during evolution that alter gene regulatory networks within developmental programs. (i) Integration of new genes in the network, introducing new functions. (ii) Changes in cis-regulatory elements (CRE) that control gene expression. (iii) Emergence of new genetic interactions between elements already existing in the network. (iv) New posttranscriptional control, such as the emergence of new noncoding RNAs (ncRNAs). CDS, coding sequence; TF, transcription factor But did these genomic changes actually exert an effect on corticogenesis? How was this effect implemented? Any genomic novelty introduced during evolution must integrate within the pre-existing genomic context, and act in concert with the pre-existing core gene regulatory network ( Figure 2b). This involves the control of pleiotropic effects, spatial-temporal regulation, and the conservation of functions with deep homology (Carroll, 2005(Carroll, , 2008Stern, 2000). As these constraints are met, the individual genomic innovations allow for the chiseling of the developmental process in a given direction, altering the genetic network and the cellular behavior, introducing new cell types and finally giving rise to structural and physiological innovation ( Figure 2) (Arendt et al., 2016;Yuste et al., 2020). Regarding corticogenesis, this relates to the diversity of neural progenitors, their proliferative capabilities, the balance between proliferation and neurogenesis, the diversity of neuron types generated, and their migration and integration into neural circuits (Florio & Huttner, 2014;Llinares-Benadero & Borrell, 2019;Taverna et al., 2014).
The types of genomic changes modifying the core gene regulatory network come in two main flavors: changes in the genetic repertoire or changes in gene regulation. Changes that alter the genetic repertoire can be achieved in several ways: alteration of gene copy number with a dosage-dependent effect (Heide et al., 2017), generation of new genes, or mutation of already existing ones, the latter two resulting in neofunctionalization (Chen et al., 2013). New genes can quickly acquire a key role in development (Chen et al., 2013), whereas loss of genes frequently has deleterious effects, thus being less prone to evolutionary selection (Carroll, 2008;McLean et al., 2011). Changes in gene regulation modify the levels of expression as well as the temporal and spatial patterns García-moreno & Molnár, 2020). This may involve changes at various levels: from chromatin compartmentalization and epigenetic state (Acemel et al., 2017;Stillman, 2018), to the cis-regulatory landscape and posttranscriptional modifications (Lennox et al., 2018) (Figure 1). Evolution of regulatory sequences has been proposed to be a source of continuous change for the generation of morphological variation (Wray, 2007) and may be a primary mechanism in the evolution of cortical development. In contrast, sequence variation of trans-regulatory elements (transcription factors [TFs], transcriptional activators or repressors, chromatin-remodeling complexes) is highly constrained due to its profound deleterious effects (Carroll, 2008). Instead, conserved TFs may act differently in different species via modification of the DNA sequence at gene regulatory elements, creating or eliminating their specific DNA binding motifs. In the next sections, we will review how these different modalities of genomic innovation have shaped corticogenesis in phylogeny.

EXPANSION OF THE GENE REPERTOIRE FOR CORTICAL EXPANSION
Genetic neofunctionalization may be a driving force for evolutionary change when the action of novelties incorporated is kept within specific tissues or organs (Carroll, 2005(Carroll, , 2008Chen et al., 2013;Stern, 2000). In the case of cortical evolution, several studies have shown evidence about modification of the genetic arsenal involved in cortical development. For example, more than 30 gene families expanded specifically in the recent human lineage, and many of those are involved in neurodevelopment (Fortna et al., 2004;Sudmant et al., 2010;Zhang et al., 2011). Several studies have identified a series of genes emerged only in the primate and human lineage, and whose expression is enriched in the germinal layers of the developing cortex (Camp et al., 2015;Dennis et al., 2012;Fietz et al., 2012;Florio et al., 2015Florio et al., , 2018Ju et al., 2016;Keeney et al., 2015;Suzuki et al., 2018). Next, we present a series of novel genetic elements that appeared in the primate and human lineage via different mechanisms and likely contributed to neocortex expansion.

Increase in gene copy number
Variation in the number of copies of a coding gene may lead to increased expression levels with phenotypic consequences ( Figure 3a). In the primate and human lineage, genomic duplications have been frequent (Bailey et al., 2002;Fortna et al., 2004;). Some of these duplications have contributed to key changes in the program of cortical development, as is the case of TBC1D3. This hominoid oncoprotein is encoded by several paralogues on chromosome 17q12 in humans, present in only one copy in the chimpanzee genome, and altogether absent in other species (Hodzic et al., 2006;Zody et al., 2006). Expression of TBC1D3 in the developing mouse neocortex leads to increased bRGC generation and incipient cortical folding (Ju et al., 2016), supporting the notion that this gene exerts a copy number-dependent effect on neocortex growth. Another case is that of the NBPF (neuroblastoma breakpoint family) gene family. This is present only in placental mammals, and the number of its members is highly variable between species, being larger in primates and largest in humans (Vandepoele et al., 2005). NBPF genes contain several copies of the Olduvai (DUF1220) domain (Sikela & van Roy, 2017) and are mostly located at locus 1q21.1 (Gregory et al., 2006;Vandepoele et al., 2005). Deletions and duplications of DUF1220 domains within this locus have been related to micro-and macrocephaly, respectively, in addition to other severe neuropathologies (Brunetti-Pierri et al., 2008).

F I G U R E 3
Mechanisms of genetic evolution. (a) Copy number variation caused by gene duplication, which may be complete or partial, and may go along with an original regulatory sequence. (b) Generation of a new gene by complete or partial duplication of an ancestral gene. The duplicated gene may be further subject to sequence modification. (c) Neofunctionalization of an existing gene by nonsynonymous mutation. Protein function may be altered by mutations modifying its gross structure or its functional properties, or even by nonsynonymous point mutations.
Moreover, the number of DUF1220 copy number is very variable in primates, with circa 270 copies in humans and 90-125 in other great apes (O'Bleness et al., 2012;Popesco et al., 2006). This suggests a relationship between DUF1220 domain abundance and brain size during primate evolution (Keeney et al., 2014). In agreement with the above notions, overexpression of DUF1220 in human neural stem cells in vitro increases their proliferation (Keeney et al., 2015). In summary, NBPF genes are likely candidates to have played an important role in the recent evolutionary expansion of the human brain.

Generation of new genes via duplication and modification
One of the main mechanisms to generate genes with a new function is via duplication of a pre-existing gene followed by sequence modification (Figure 3b) (Bailey et al., 2002;Chen et al., 2013;Fortna et al., 2004). A few of the human-specific genes generated by this process are specifically expressed in the germinal layers of the embryonic neocortex, and are involved in its developmental expansion. ARHGAP11B is a paradigmatic example of this scenario. This gene is expressed in aRGCs and bRGCs of the embryonic human neocortex (Fietz et al., 2012;Florio et al., 2015Florio et al., , 2018, and emerged from a partial duplication of ARHGAP11A followed by a C-to-G substitution (Antonacci et al., 2014;Riley et al., 2002). This changed a splicing site leading to the loss of 26 amino acids of the original GAP domain, substituted by a unique C-terminal sequence of 47 amino acids (Florio et al., 2016). This modification critically changed the new protein as compared to ARHGAP11A in two ways: (1) new subcellular localization, at the mitochondrial membrane; (2) new function, modulating the mitochondrial metabolism via a Ca 2+ -mediated increase of the Krebs cycle, necessarily supported by glutaminolysis . A key developmental consequence of the emergence of ARHGAP11B was the increase in proliferative activity of basal progenitors, with a concomitant expansion of the neocortex. This has been probed in several models including mouse (Florio et al., 2015(Florio et al., , 2016Xing et al., 2021), ferret (Kalebic et al., 2018), marmoset , and chimpanzee and human organoids (Fischer et al., 2020).
Another well-known case of a neofunctionalized duplicated gene is NOTCH2NL. This is a human-specific gene also expressed in NPCs that originated from a partial duplication of NOTCH2 in hominins, followed by a later modification in humans (Dougherty et al., 2017;Fiddes et al., 2018;Florio et al., 2018;Suzuki et al., 2018). The duplicated segment contains the promoter and six N-terminal EGF-like domains, but lacks the transmembrane and cytoplasmic domains (Fiddes et al., 2018). NOTCH2NL has four paralogues, three of them at locus 1q21.1 (NOTCH2NLA, NOTCH2NLB, and NOTCH2NLC) and a fourth NOTCH2NLR considered a pseudogene. Each of the four paralogues is very close to a gene of the abovementioned NBPF genes, which suggests their co-evolution (Heide & Huttner, 2021). Among the main differences between NOTCH2NLB and NOTCH2NLA/C is that the former presents a 39-amino acid N-terminal signal peptide that the latter do not, and therefore are thought to be secreted via a noncanonical pathway. Hence, in addition to acquiring a new function, NOTCH2NL was further subspecified in multiple paralogues. Three independent studies demonstrated that NOTCH2NL promotes NPC proliferation (Fiddes et al., 2018;Florio et al., 2018;Suzuki et al., 2018). NOTCHN2L proteins have been proposed to induce trans-activation of Notch signaling via physically interacting with Notch receptors (Fiddes et al., 2018) or via prevention of DLL1-mediated cis-inhibition of Notch signaling (Suzuki et al., 2018). Given that Notch signaling promotes neural stem cell self-renewal and prevents the differentiation of cortical progenitors Hansen et al., 2010;Imayoshi et al., 2010;Kageyama et al., 2009;Mizutani et al., 2007), these mechanisms may explain the effect of NOTCH2NL on the increased abundance of NPCs in human.
A third case is SRGAP2C. This gene arose in a similar period as NOTCH2NL from two partial duplication events from its ancestral gene, SRGAP2A, a Slit-Robo Rho GTPaseactivating protein (Dennis et al., 2012). Although SRGAP2C contains the F-BAR domain of SRGAP2A, it lacks its last 49 amino acids (Charrier et al., 2012). SRGAP2C is expressed in the cortical germinal layers as well as in the cortical plate of the human embryo. Its role in neurodevelopment seems not related to NPC proliferation, but to dendrite and synapse formation. Forced expression of SRGAP2C in the developing mouse neocortex leads to increased synaptic density, prolonged spine maturation, and increased speed of radial migration (Charrier et al., 2012;Fossati et al., 2016). These effects result from the antagonizing interaction of SRGAP2C on SRGAP2A, which otherwise promotes synapse maturation while limiting their density (Fossati et al., 2016). Importantly, expression of SRGAP2C in mice improves their ability to learn cortex-dependent sensory discrimination tasks (Schmidt et al., 2021).
Finally, HYDIN2 is an example of a human-specific gene that emerged from a large duplication event of 79 exons of HYDIN from the locus 16q22.2 into 1q21.1 (Doggett et al., 2006;Dougherty et al., 2017). HYDIN2 expression is highest in neural tissues, but no functional experiments have so far demonstrated any influence on cortical progenitor cell dynamics.

Variation of a protein function via mutations in existing genes
A third mechanism of gene neofunctionalization is via amino acid substitutions that alter protein function (Figure 3c). This is especially relevant if the gene is expressed in a tissue-specific manner, escaping pleiotropic effects. A classic example is FOXP2, a TF highly expressed in the developing and adult human neocortex associated to language and vocal learning (Ferland et al., 2003;Feuk et al., 2006;Lai et al., 2001;MacDermot et al., 2005). Human FOXP2 differs in two amino acids from the chimpanzee counterpart, which changes its DNA-binding motif (Enard et al., 2002;Konopka et al., 2009). Knockdown of Foxp2 in the developing mouse neocortex reduces neurogenesis, partially via blocking the transition from aRGCs to IPCs. Conversely, expression of the human FOXP2 in mouse causes an increase in basal progenitors and neurons (Tsui et al., 2013), as well as increased synaptic plasticity in the striatum (Enard et al., 2009). The effect on synapse formation is mediated by inhibition of Mef2c expression, a TF implicated in the suppression of corticostriatal synapse formation (Chen et al., 2016). This is an example of how discrete amino acid substitutions may change a gene network, with a dramatic effect on cortical development and function, such as speech development (Figure 2b). Importantly, these observations demonstrate that small modifications in protein sequence may have been key in the last steps of human cortical evolution.
Notably, comparison of the genomes of modern and ancient humans has revealed 87 proteins with single-amino acid substitutions fixed in Homo sapiens and absent in Neanderthals and Denisovans (Prufer et al., 2014). Five of these genes are expressed in the cortical germinal layers VZ and SVZ (CASC5, KIF18A, TKTL1, SPAG5, and VCAM1), and three of them are involved in kinetochore dynamics during mitosis (CASC5, KIF18A, and SPAG5). Importantly, the orientation of the mitotic spindle and duration of the metaphase influences the fate of daughter cells during NPC division, so these gene modifications may have been relevant in the refinement of cortical development in Homo sapiens (Mora-Bermúdez et al., 2022). Another gene involved in neurodevelopment that differs in a single-amino acid substitution from the Neanderthal ortholog is NOVA1. This gene regulates alternative splicing of genes involved in synapse formation during nervous system development (Buckanovich & Darnell, 1997;Jensen et al., 2000;Ule et al., 2005). Replacement of the modern gene with the Neanderthal homologue in human cerebral organoids leads to changes in alternative splicing, slower development, and modification of synaptic protein interactions, of electrophysiological properties, and of excitatory signaling neural network function (Trujillo et al., 2021). Altogether, the gene changes occurred between ancient and modern humans indicate that minor adjustments in cortical development continued to occur in the very last steps of human evolution, and likely are still underway.

REGULATION OF GENE EXPRESSION LEVELS AND PATTERNS
The emergence of novel genes is a major driving force of phenotypic variation during evolution, but it falls short to account for the great diversity that we observe in nature. In fact, many of the major genetic regulators of cortical development are conserved along the vertebrate lineage (Fernandez et al., 1998;Puelles et al., 2000;Yamashita et al., 2018;Yun et al., 2001), but their patterns of expression vary widely across species, and even among distinct brain areas within F I G U R E 4 Layers of gene regulation. Pretranscriptional modalities include chromatin conformation, DNA and histone modifications, and the formation of topologically associated domains (TADs), which bring together different types of trans-regulatory elements, affecting the binding of transcription factors (TFs). Posttranscriptional regulation involves alternative splicing, mRNA modification (epitranscriptomics), and binding to RNA binding proteins (RBPs), which control nuclear export and mRNA stability, including degradation by miRNA-RISC complex. CDS, coding sequence the same species. For instance, attenuation across amniotes of Slit/Robo expression levels in the embryonic cortex is responsible for the amplification of basal progenitors and cortical expansion (Cárdenas et al., 2018). In reptiles and birds, high levels of Robo decrease Dll1 expression and promote direct neurogenesis, whereas in mammals low Robo signaling leads to high Dll1 and indirect neurogenesis, with increased generation of basal progenitors forming an SVZ. Intriguingly, Robo signaling is high in the mouse olfactory bulb and leads to a high rate of direct neurogenesis, an example of a conserved mechanism regulating the mode of neurogenesis that acts on opposite directions in adjacent regions of the developing telencephalon (Cárdenas et al., 2018). This and other examples highlighted in the following sections indicate that evolution acts on gene expression regulation at many levels, driving cortical development divergence.
Regulation of gene expression is a multilayered phenomenon that displays its full complexity in brain development, thus an ideal target for evolutionary change (Figure 4). The production of mRNA begins with the assembly of the transcriptional machinery at the promoter region, which requires binding of TFs (Zabidi & Stark, 2016). In order for TFs to bind DNA and promote transcription, DNA itself must be accessible, and this is regulated by a variety of epigenetic DNA modifications such as acetylation and methylation (Moore et al., 2013;Vastenhouw & Schier, 2013;Zhang & Reinberg, 2001). Next, transcription will depend on the expression of the specific TFs that recognize the DNA sequence of the relevant gene regulatory elements, including promoters and/or enhancers. Then, the genome inside the nucleus forms loops and other three-dimensional conformations that approach distal enhancers and trans-regulatory elements to the transcriptional complex, adding an extra layer of regulation (Dixon et al., 2012;Gonzalez-Sandoval & Gasser, 2016). Finally, following transcription mRNAs are subject to multiple processes including splicing, editing, and nuclear export, prior to the starting translation at the cytoplasm. Still, once at the cytoplasm, mRNAs must be actively protected from degradation to confer sufficient stability for sustained translation. The modulation of each of these steps will result in changes of gene expression and different protein levels.

TF expression
TFs are proteins that act as trans-regulatory elements by binding on cis-regulatory elements (CREs) of DNA (Latchman, 1997). TFs have a DNA-binding domain, usually consisting of zinc finger domains, which binds to a specific nucleotide sequence and promotes or prevents the recruitment of RNA polymerase (Latchman, 1997;Roeder, 1996). This promotes or represses the transcription of genes proximal to the CRE, or promoter (Mitchell & Tjian, 1988;Ptashne & Gann, 1997). Several TFs are known to play key roles in different processes of cortical development, with both conserved and novel functions linked to species-specific features (Somel et al., 2013). TFs are critical from the very onset of corticogenesis, as they are involved in the regionalization of the telencephalon. The embryonic telencephalon has classically been divided in two distinct regions: the subpallium ventrally, which gives rise to the basal ganglia, and the pallium dorsally, which develops into the cerebral cortex. The identity of these regions is initially established early in development by extracellular signals or morphogens, including sonic hedgehog and bone morphogenic proteins, and maintained through regionally restricted cross-regulatory interactions involving basic helixloop-helix TFs (Wilson & Rubenstein, 2000). Ngn1 and NeuroD are two TFs expressed in the pallium and associated with the production of glutamatergic neurons, whereas Mash1 and Zash1a are expressed in the subpallium and related to GABAergic neuron production (Wullimann & Mueller, 2004). The pallium and subpallium can also be distinguished in the embryonic telencephalon of different vertebrates by the differential expression of TFs involved in glutamatergic or GABAergic neuron production, such as Tbr1 in the pallium and Dlx1/2 in the subpallium (Brox et al., 2004;Casarosa et al., 1999;Puelles et al., 2000). Nkx2.1 and Gsx1/2 contribute to the further regionalization and specification of the ventral telencephalon, the latter by repressing Pax6 expression (Chapman et al., 2018;Corbin et al., 2000;Toresson et al., 2000;Wilson & Rubenstein, 2000;Yun et al., 2001).
The dorsal pallium is further subdivided into four radial domains consisting of medial, dorsal, lateral, and ventral pallium, each giving rise to distinct regions in the adult brain (Puelles et al., 2000). The identity of these pallial regions is established by the regionally restricted expression of TFs, such as Pax6 or Emx1/Emx2. These two TFs are expressed in opposing gradients across the embryonic telencephalon, with Pax6 high in the rostrolateral pallium and low caudomedially, and Emx1/2 in the opposite direction. Loss-of-function of Pax6 or Emx2 in mouse leads to agenesis of the cerebral cortex, including a re-specification of the remaining tissue to become subpallial, highlighting the fundamental importance of these two TFs in the specification and maintenance of the pallial identity (Muzio et al., 2002). Pax6 expression pattern is conserved across vertebrates, and it regulates several downstream targets in response to both cell-intrinsic and extrinsic signals, including its own levels (Holm et al., 2007;Manuel et al., 2015;Puelles et al., 2000;Sansom et al., 2009;Yamashita et al., 2018;Ypsilanti & Rubenstein, 2016;Yun et al., 2001). Pax6 is involved in the regulation of many aspects of corticogenesis including progenitor cell proliferation, neurogenesis, differentiation, and mode of cell division (Asami et al., 2011;Estivill-Torrus et al., 2002;Heins et al., 2002;Quinn et al., 2007;Sansom et al., 2009;Warren et al., 1999). Intriguingly, Pax6 also has species-specific functions during pallial development. For example, sustained expression of Pax6 in progenitors of the mouse embryonic neocortex is sufficient to induce their primate-like dynamics and an increase in basal progenitors, suggesting that sustained Pax6 expression may be linked to SVZ enlargement and neocortex expansion . However, in the avian brain it has divergent regulatory functions on cellular dynamics and target genes compared to the mammalian brain. For example, the role of Pax6 on progenitor cell maintenance is unique to mammals, while its role in promoting neuronal differentiation is conserved in both phyla (Yamashita et al., 2018).
Pax6 regulates neuronal differentiation, mostly affecting upper layer neurons (Tuoc et al., 2009), via the positive regulation of proneural genes, such as Ngn2 or Tbr2 (Heins et al., 2002;Holm et al., 2007;Sansom et al., 2009;Scardigli et al., 2003). Trb2 is a member of the T-box family of TFs and is directly related to the amplification of IPCs in mammals. Since IPCs expand the neuronal output, Tbr2 is directly related to cortical expansion (Sessa et al., 2008). Loss of Tbr2 function in the developing ferret cortex results in reduced folding (Toda et al., 2016), and its deletion in mouse results in a great reduction of IPC-dependent neurogenesis (Mihalas et al., 2016), confirming its role in basal progenitor amplification. Cell lineage and single-cell transcriptomic studies in mouse show that most cortical glutamatergic neurons transit through intermediate states of Tbr2 expression (Mihalas & Hevner, 2018;Mihalas et al., 2016), suggesting that Tbr2 regulates the transition from RGCs to IPCs by gradually turning off the RGC genetic program in favor of neurogenesis. Mitotic Tbr2+ cells have been reported in the developing pallium of many vertebrates including sharks, lizards, turtles, chicken, and doves (Cárdenas et al., 2018;Clinton et al., 2014;Docampo-Seara et al., 2018;Martínez-Cerdeño et al., 2016), raising the possibility that neuronal output amplification through Tbr2+ progenitors may be an ancient mechanism in vertebrates.
Another TF seemingly involved in the generation of basal progenitors in the mammalian cerebral cortex is Hopx. This is a member of the homeodomain-containing protein family that lacks the ability to bind DNA, as other members of its family, and is expressed by bRGCs in the developing human cortex (Pollen et al., 2015;Thomsen et al., 2015). Hopx is also expressed in the developing ferret and mouse cerebral cortex, where it is sufficient to promote bRGC expansion without altering aRGC dynamics (Vaid et al., 2018). However, the cell types expressing Hopx in the developing mammalian cerebral cortex, and its role in cortical development, remain unclear.

Gene regulatory elements
CREs are regions of noncoding DNA that contain binding motifs for several TFs, which upon binding may regulate the transcription of nearby genes, either enhancing or silencing their expression (Figure 4). CREs thus contribute to the specificity and dynamics of gene expression across cell types and species (Nord & West, 2020). In the mammalian genome, enhancers are the most common type of CRE, and a great source of phenotypic variation across species. Human accelerated regions (HARs) are genomic regions well conserved in nonhuman primates but with a high rate of mutation in humans (Hubisz & Pollard, 2014). Around 50% of HARs (genomic sequences quickly evolved in the recent human lineage) have been predicted to function as regulatory enhancers (Capra et al., 2013;Girskis et al., 2021;Uebbing et al., 2021). Many HARs are in the proximity of genes important in brain development, including GLI2, GLI3, and TBR1, suggesting a role in proliferation and differentiation during cortical development (Won et al., 2019). HARs have been associated with cortical expansion during evolution. Human and chimpanzee HAR Enhancer 5 (HARE5) show different enhancer activity, as evidenced in mouse transgenic models via its activity promoting Fzd8 expression. Importantly, expression of the human HARE5 leads to accelerated cell cycle and increased brain size in mouse (Boyd et al., 2015). HARs have been recently shown to extensively rewire the expression pattern of PPP1R17 in the developing primate cortex, where it is expressed in progenitor cells in OSVZ and ISVZ. This gene shortens the cell cycle, promotes the transient amplification of progenitor cells, and delays neuronal differentiation, suggesting a central role in primate corticogenesis of this HAR-regulated gene (Girskis et al., 2021). PPP1R17 is not expressed in ferret or mouse NPCs, further highlighting the key role of regulatory mechanisms in cortical evolution.
Accelerated regions are not only present in humans, as nearly 5000 noncoding accelerated regions have been identified within the therian lineage, with several of them proven to have gained transcriptional enhancer function compared to nonmammalian orthologous regions (Holloway et al., 2016). Many of these accelerated regions are located near developmental TFs, suggesting they may influence the expression of already existing genes. It is important to point out that small changes in regulatory elements have been demonstrated to drive major evolutionary shifts, such as loss of limbs in snakes (Kvon et al., 2016;Sagai et al., 2004Sagai et al., , 2005, suggesting that variation in the sequence of regulatory elements is a major force in evolution.

Chromatin and TADs
The accessibility of the transcriptional machinery to DNA also regulates gene expression. DNA is organized around a histone scaffold where the basic unit is the nucleosome, composed of a section of DNA filament wrapped around a core of eight histone proteins (McGinty & Tan, 2015). The position of nucleosomes along DNA affects the accessibility of the RNA polymerase. More importantly, histones are characterized by amino-terminal tails that are susceptible to posttranslational modifications, involved in activation or repression of transcription (Stillman, 2018). A recent study has uncovered the relevance of H3 acetylation in cortical development (Kerimoglu et al., 2021). Human basal progenitors show a higher level of this modification compared to mouse cells, leading to an increased expression of Trnp1 and promoting progenitor cell proliferation. Nucleobases can also be modified. The most studied example is the addition of methyl groups onto cytosines, usually in CG pairs (otherwise called CH methylation). This may reduce gene expression when present on a promoter, and thus be relevant in cortical evolution (Lister et al., 2013;Moore et al., 2013;Price et al., 2019). Recent studies show that the human prefrontal cortex is enriched in hypomethylated sites compared to the chimpanzee, with those more accessible sites containing binding motifs for specific TFs such as FOXP1 (Jeong et al., 2021). Given that CH methylation is more common in the human genome compared to other primates, the transcriptional inhibition caused by this change may be important for the refined distinction of neuronal cell types.
Modifying the chromatin structure and organization is a powerful way to regulate the transcriptional landscape of cells, with multiple examples in the developing nervous system. During corticogenesis, aRGCs shift from neurogenesis at embryonic stages to gliogenesis postnatally, and this is paralleled by a shift in chromatin conformation, from being open and widely accessible to much more compact (Kishi et al., 2012). This phenomenon is not limited to a few protein-coding regions involved in neural differentiation, but it involves a change in chromatin dynamics across the whole genome mediated by HMGA proteins, which bind DNA directly and promote an accessible configuration. Once chromatin is open and accessible, gene expression is further regulated by the specific topological conformation of DNA at a large scale, as revealed by chromatin conformation capture techniques (Belton et al., 2012;Bonev et al., 2017). Open chromatin forms loops that bring into proximity distantly located gene regulatory elements, favoring new enhancer-promoter interactions and thus dramatically increasing the possibilities for gene expression regulation (Figure 4). These topologically associated domains (TADs) formed by chromatin looping are dynamic and subject to change. For example, during neural differentiation the long-range interactions between transcriptionally active chromatin domains (type-A) decrease, increasing between type-B domains. The boundaries of these interaction domains are largely conserved across cell types, but then the chromatin binding sites may be modified by insulator proteins such as CTCF or cohesins, causing a shift in the interactions. This is the case of Sox2, its expression driven by an Embryonic Stem (ES)-specific enhancer at early embryonic stages, and then by an NPC-specific enhancer at late stages (Bonev et al., 2017).
The conformational organization of the genome in TADs seems to be conserved across bilaterian animals (Acemel et al., 2017), so they may have been relevant as a generegulatory mechanism during evolution. For example, the organization in TADs may have favored that evolutionarily new CREs be functionally relevant on multiple promoters within a given TAD. Similarly, changes in TAD boundaries during evolution may have brought into proximity genomic regions that were previously existing but distant, as might be the case with the evolution of the Hox cluster in chordates. These events have been studied in the context of cortical development in human, macaque, and mouse (Luo et al., 2021). This study demonstrates the existence of multiple human-specific TADs, whose boundaries are enriched in evolutionarily young transposable elements, and have reduced binding to CTCF compared to conserved elements. Moreover, human TADs seem to be more cell type specific compared to those shared with macaque and mouse, supporting the idea of evolutionary acquired ways to fine tune neurodevelopment in human (Luo et al., 2021). Analysis of TADs and their related loops revealed the emergence of new enhancer interactions mediated by anchors that contain HARs. Comparison of different species also shows that genes present in human and macaque, but not mouse, share loops that are enriched in the VZ, a key germinal layer in cortical development (Luo et al., 2021).

Posttranscriptional mechanisms
Differences in mRNA levels alone cannot explain the full variability observed in protein abundance (Grassi et al., 2019;Vogel & Marcotte, 2012), supporting the relevance of posttranscriptional mechanisms. Posttranscriptional regulation is a complex process involving many players that influence each other, both in the nucleus and cytoplasm (Figure 4). The first mechanism from a chronological perspective is alternative splicing, linked with the transcriptional process itself. The spliceosome complex assembles while the RNA-polymerase is still ongoing, and it regulates the splicing process per se and the choice of specific exons. This choice is also influenced by the structure of chromatin (Naftelberg et al., 2015). Alternative splicing may have consequences on the posttranslational modifications and on protein-protein interactions, for example, through the insertion of microexons (Ule & Blencowe, 2019). Alternative splicing sites are present in the whole vertebrate lineage, but they are more common in primates and more conserved in brain ( Barbosa-Morais et al., 2012;Merkin et al., 2012). In particular, its importance has emerged in neural development, where paralogs of splicing regulator proteins are associated with cell identity changes. The switch from PTBP1 to PTBP2 is essential for cell identity, since the former promotes expression of progenitor-specific splicing variants and inhibits the expression of the latter, which then is upregulated during neuronal differentiation (Su et al., 2018;Vuong et al., 2016). Similar to DNA, mRNA is susceptible to covalent modifications of its nucleotides, known as epitranscriptomics Yoon et al., 2018) (Figure 4). The importance of these changes has not been deeply explored yet, but the most common modification, methylation on adenosine N6, has effects on nuclear exporting, microRNA-mediated decay, and, in some cases, on the splicing process (Noack & Calegari, 2018). Furthermore, this specific modification is important for NPC cycle and stability of specific neuronal genes (Yoon et al., 2017). The dynamic patterning of this specific modification is related to cell identity specification, as shown in the developing brain where it increases along neuronal differentiation (Meyer et al., 2012). Second, mRNAs can bind multiple proteins RNA binding proteins (RBPs) that play roles in the regulation of splicing, polyadenylation, nuclear exporting, cytoplasmic localization, and stabilization (Hsu et al., 2019;Lennox et al., 2018;Salamon & Rasin, 2022;Sena et al., 2021) (Figure 4). One mechanism of action of RBPs is to shuttle transcripts into RNA granules containing repressors of translation (Tian et al., 2020). The subcellular localization of mRNA is particularly important in highly polarized cells and asymmetric processes, like RGCs, where perturbation of the apical complex containing the RBP Stau2 causes premature cortical neuron differentiation (Amadei et al., 2015;Hoye & Silver, 2021;Vessey et al., 2012). Epitranscriptomics influences other gene modulation mechanisms, such as chromatin modifications. For instance, the RBP protein RBM15 controls the level of certain transcripts through RNA methylation, and its direct targets include the chromatin remodeling subunit BAF155, which regulates basal progenitor formation during corticogenesis (Narayanan et al., 2018;Xie et al., 2019).
Control of mRNA stability is another mechanism to regulate the accessibility of mRNAs to the translation machinery, and thus their expression into protein. The role of miR-NAs in this process is well documented. MiRNAs are single-strand short noncoding RNAs that guide the RISC complex to bind specific mRNAs through the recognition of a complementary sequence, usually at the 3′-UTR. This binding leads to inhibition of translation or degradation of the target mRNA (Prieto-Colomina et al., 2021). The canonical pathway of miRNA biosynthesis relies on the sequential processing of an immature miRNA, first by Drosha in the nucleus and then by Dicer in the cytoplasm (Miyoshi et al., 2010;Prieto-Colomina et al., 2021). This process can be modulated itself by posttranscriptional mechanisms, such as RBP interaction (Michlewski & Cáceres, 2019). Multiple studies have explored the role of miRNAs in the development of the nervous system using conditional Dicer knockout mice (Sun & Shi, 2015). In the developing dorsal telencephalon, loss of Dicer (and hence canonical miRNAs) after the onset of neurogenesis leads to the formation of a smaller cortex and impaired neuronal differentiation (De Pietri Tonelli et al., 2008). More recent analyses using very early Cre-driver mouse lines (E7.5) show that Dicer-dependent miRNAs are critical already for the homeostatic expansion of the primordial telencephalic neuroepithelium (Fernández et al., 2020). Other studies have explored the role of specific miRNAs such as miR-7, which controls the production of intermediate progenitors and their apoptosis (Pollock et al., 2014), and miR-9, which negatively regulates progenitor proliferation and promotes neural differentiation (Zhao et al., 2009).
MiRNAs are important also in brain evolution, via the differential expression of conserved miRNAs or via the emergence of new ones, as is the case of a eutherian-specific cluster containing miRNAs involved in the acquisition of neuronal identity (Diaz et al., 2020;Martins et al., 2021). The proliferation of NPCs and the emergence of features key in cortical expansion and gyrification, such as the expansion of the OSVZ, are affected by the evolution of posttranscriptional regulation by miRNAs. For example, miR-137 and miR-122 are highly expressed in the OSVZ of the developing cerebral cortex of ferret, macaque, and human, three gyrencephalic species distantly related . However, in the embryonic mouse cortex, which does not have an OSVZ, these two miRNAs are not expressed. Ectopic expression of miR-137 in mouse causes an increase in progenitor proliferation and abundance in the SVZ. MiR-122 instead acts on neuronal maturation, favoring the identity of superficial cortical layers at the cost of deep layers. A recent study further unravels that miRNAs were also important in recent events of mammalian brain evolution, such as the secondary loss of cortex size and folding typical of small rodents (Chinnappa et al., 2022). miR-3607 is expressed in cortical germinal zones of gyrencephalic but not lissencephalic species. When overexpressed in the early embryonic mouse cortex, miR3607 blocks APC expression, thus disinhibiting Wnt/beta-catenin signaling, resulting in the amplification of NPCs. Blockade of endogenous miR-3607 in the ferret cortex causes a reduction in proliferation and a loss of progenitor polarity accompa-nied by an increase of APC, consistent with it regulating the Wnt pathway (Chinnappa et al., 2022). These results support that species-specific patterns of expression of conserved miRNAs contributed to brain evolution. Moreover, evolutionary changes in miRNA action may have also occurred by changes in their target sequences at the 3′-UTR of target genes. Other classes of noncoding RNAs may have been also important in brain evolution, such as circRNAs and lncR-NAs. These ncRNAs regulate miRNA activity by acting as sponges: they contain repeated sequences complementary to specific miRNAs that act as scavengers, blocking their availability to target coding genes . Noncoding RNAs may interact in an evolutionary context to modulate otherwise conserved signaling pathways. LncND is a lncRNA with a primate-specific region that presents multiple miRNAresponsive elements. LncND is expressed in human NPCs but not later on during neuronal differentiation, and via binding miR-143-3p increases the levels of its target genes, including the highly relevant Notch receptors (Rani et al., 2016).

TEMPORAL-SPATIAL REGULATION OF GENE EXPRESSION AND FUNCTION
The development of an extremely complex structure like the cerebral cortex requires a tight regulation of gene expression both in space and time. The former is key to pattern the formation of the different brain structures. The latter is important to regulate the process of progenitor cell amplification followed by neurogenesis ( Figure 5). A shorter cell cycle is related to a higher proliferative potential of progenitor cells Dehay & Kennedy, 2007;Salomoni & Calegari, 2010), as recently shown also in newly identified progenitor cell types in reptiles, rodents, carnivores, and primates (Betizeau et al., 2013;Nomura et al., 2013;Pilz et al., 2013;Reillo & Borrell, 2012). However, developmental time and cell cycle length can be dramatically different between species, where, for example, cortical progenitor cells in primates have a longer cell cycle than in rodents at equivalent stages of brain development (Dehay et al., 1993;Kornack & Rakic, 1998;Takahashi et al., 1995). This is contrary to intuition, as cortical progenitor cells in primates are more amplificative than rodents, and thus one would expect shorter cell cycles in the former. However, gestational time and duration of the neurogenic period are also very different among species, and longer neurogenic periods allow for more cell cycles. Indeed, lengthening the neurogenic period alone is sufficient to increase neurogenesis, as shown for upper-layer neurons (Stepien et al., 2020). Comparative studies performed in cerebral organoids have also identified key differences in developing timing between human and other primates. Apical progenitors in human organoids have a significantly longer metaphase than those in chimpanzee (Mora-Bermudez F I G U R E 5 Temporal progression of cortical neurogenesis. (a) Temporal progression of neurogenesis in the reptilian dorsal pallium. At the onset of neurogenesis, self-amplifying neuroepithelial cells transit to apical radial glia cells, which then undergo long cell cycles to directly produce neurons, rapidly depleting the progenitor pool during the short neurogenic period. As a result, a low number and diversity of neurons are produced, arranged in a thin cortex. (b) Temporal progression of neurogenesis in the mammalian dorsal pallium. Apical radial glia cells self-amplify prior to begin producing deep-layer neurons (dark gray). A long neurogenic period allows for the unfolding of genetic programs that drive the emergence of basal progenitors, such as intermediate progenitor cells and basal radial glia cells. Basal progenitors amplify the output and diversity of neurons produced, especially those destined to upper layers, producing an expanded six-layered neocortex. Developmental time is not to scale. et al., 2016), and have a longer proliferative period compared to macaque (Otani et al., 2016). Similarly, NECs transit to RGCs later in development in human than in gorilla organoids (Benito-Kwiecinski et al., 2021). Altogether, this points to a delayed maturation in the human brain when compared to other primates (Mora-Bermúdez et al., 2022), which is further supported by differences in chromatin accessibility. At equivalent developmental stages, chimpanzee cells show increased expression of genes related to neuron maturation compared to human cells, enriched in genes linked to RG proliferation (Kanton et al., 2019).
A recent study concludes that differences in the timing of gene expression may account for some of the main differences of cortical development between marsupials and eutherians. Transcriptomic comparisons at early stages of corticogenesis reveal more mature gene networks in marsupials compared to mouse, which reverts at later stages, suggesting that neuronal maturation programs are triggered sooner and more prolonged in marsupials (Kozulin et al., 2022). While eutherians have a corpus callosum formed by axonal projections of cortical neurons specified by the TF Satb2, marsupials lack this feature and instead project via the anterior commissure. The differential timing in neuronal maturation programs between marsupials and eutherians may account for these differences, as a substantial delay in Satb2 expression in mouse seems to impact the fate of projection neurons (Kozulin et al., 2022;Paolino et al., 2020;Suárez et al., 2018). This may be related to a new regulation by miR-541 (Martins et al., 2021).
A long neurogenic period may be important for the unfolding of refined genetic programs giving rise to new progenitor cell types and a greater diversity of neurons ( Figure 5). For example, the embryonic cortex of gyrencephalic species contains a large diversity of basal progenitor cell types, especially in OSVZ and ISVZ, including a variety of bRGC morphotypes (Betizeau et al., 2013;Fietz et al., 2010;Hansen et al., 2010;Reillo et al., 2011). Ferret studies show that bRGCs destined to the OSVZ are massively produced during a restricted time window of embryonic development, and this is dynamically regulated by the expression levels of Cdh1 and Trnp1 . The coincident downregulation of both genes is necessary to generate this burst of bRGCs, which then seed the OSVZ for subsequent selfamplification, establishing a self-sustained lineage. Before and after this brief period, high levels of either of these genes restrict the formation of bRGC. Experimental increase of expression during the critical period is also sufficient to impair bRGC production, indicating that the dynamic temporal regulation of these genes is key for the emergence of the OSVZ Stahl et al., 2013). Similarly, in macaque monkeys cortical neurogenesis is interrupted by an interim period of progenitor cell amplification, necessary prior to proceeding with the massive neurogenesis for supragranular layers (II and III) at late stages (Betizeau et al., 2013). The temporal control of gene expression is here also key to switch from neurogenesis to amplification, and back to neurogenesis.
Differences in gene expression regulation occur not only at the temporal and spatial levels, but also at the cellular level. In the mammalian cerebral cortex, the developmental transition from aRGCs to IPCs, and then to neurons, follows a stereotyped sequence of TF expression: Pax6, Tbr2, and Tbr1 (Elsen et al., 2018;Englund et al., 2005). Expression of these TFs is mutually exclusive in the smooth cortex of mouse and rat, but not in the large and folded cortices of ferret and macaque. In these species, Pax6 and Tbr2 are extensively co-expressed in their highly proliferative basal progenitor cells (which in mouse only express Tbr2), suggesting that sustained Pax6 expression favors progenitor self-renewal and/or proliferation (Betizeau et al., 2013;Reillo et al., 2011). Accordingly, artificially sustained expression of Pax6 in the embryonic mouse cortex leads to enlargement of the SVZ and increased abundance of basal progenitors, which exhibit primate-like behavior with increased cell cycle re-entry and production of upper layer neurons, as mentioned above .
Lineage tracing studies have analyzed the transcriptional identities of successive generations of cortical aRGCs and their progeny, identifying a set of evolutionary conserved genes that drive temporal aRGC progression, such as PRC2 (Telley et al., 2019). Temporally dependent molecular states are epigenetically transmitted to daughter neurons, thus regulating neuron identity in a temporal manner (Telley et al., 2019). This temporal regulation seems to become progressively restricted toward neuronal identity, as highlighted by experiments of heterochronic transplantation of aRGCs and IPCs from late into early embryos. While aRGCs show some temporal plasticity and can re-enter previous molecular states, IPCs remain similarly committed . In contrast to the temporal transitions of neurogenesis in the mammalian cortex, birds seem to have adopted a spatial transition, where different modes of neurogenesis and different types of dorsal pallial neurons are generated in different territories (Cárdenas et al., 2018;Suzuki et al., 2012). In this context, extrinsic factors seem to restrict the multipotency of NPCs in different areas of the avian pallium, resulting in divergent cytoarchitectural structures (Suzuki et al., 2012;Yamashita et al., 2018).

CONCLUDING REMARKS
The mammalian cerebral cortex is the ultimate achievement of brain evolution, following a dramatic increase in size and cellular complexity. Cortex size and complexity are the result of embryonic development, where a variety of progenitor cell types linked by defined lineage relationships proliferate and produce the full repertoire of neuron types. The evolutionary expansion of the cerebral cortex involved an increased proliferation of neural stem and progenitor cells, combined with the emergence of new types of neurogenic progenitors with greater amplificative potential. These phenotypic changes were based on genomic changes occurred during evolution, including the emergence of new genes and, most notably, the differential regulation of expression of conserved genes and signaling pathways, including changes in time and space. While some of these evolutionary changes have begun to be identified, in parallel to our increased understanding of the molecular regulation of cortical development, much remains uncharted. The advent of new analytical tools such as single-cell omics and methods for genomic manipulation such as CRISPR-mediated genome editing have open an entirely new world of possibilities for studying unconventional animal species with critically strategic phylogenetic value. Improved understanding of genomic and epigenomic mechanisms that regulate cortical development, and how these emerged and were differentially exploited during evolution, will help us unravel the natural history of human cognition.

A C K N O W L E D G M E N T S
We thank people in our lab and in Scientific Program 1 at IN for helpful discussions. We apologize that, due to space limitations, many primary and historical publications could not be cited.

C O N F L I C T O F I N T E R E S T
The authors declare no conflict of interest.